Occupational information survey method and platform based on blockchain and big data

Abstract

The present invention discloses a method and platform for investigating occupational information based on blockchain and big data. The method is applied to an occupational information investigation platform and comprises: obtaining object information of a number of job seekers, determining corresponding investigation objects according to the object information of the job seekers, sending predetermined investigation question information to each investigation object corresponding to the job seeker, so that each investigation object corresponding to the job seeker performs a matching information reply operation on the investigation question information and feeds back the corresponding information reply result of the job seeker to the occupational information investigation platform; generating the information investigation result of the job seeker according to the information reply results of all investigation objects corresponding to the job seeker; generating the occupational file information of the job seeker according to the information investigation result of the job seeker; wherein the occupational file information of each job seeker includes the occupational integrity score information of the job seeker; the occupational information investigation platform generates a job search background information investigation database according to the occupational file information of all job seekers; it can be seen that the embodiments of the present invention can improve the authenticity and accuracy of the job seeker information obtained by the enterprise, thereby facilitating the enterprise to recruit matching talents with convenience and accuracy.

Description

Technical Field

[0001] The present invention relates to the field of information processing technology, and in particular to a method and platform for investigating occupational information based on blockchain and big data. Background Art

[0002] In real life, with the development of science and technology, job seekers now often apply for jobs through recruitment networks or recruitment software to get their desired jobs. In online recruitment, most of the time, job seekers upload their resumes and submit them to the company so that the company can view the resumes and make preliminary screening. However, most companies only have a preliminary understanding of job seekers through the resumes uploaded by job seekers, and some job seekers' resumes are not filled out arbitrarily according to the company's recruitment requirements, making it impossible for the company to obtain the job seeker's real information, which poses a risk of loss to the company. It can be seen that it is particularly important to provide a new method of career information investigation to improve the authenticity and accuracy of job seeker information. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a career information investigation method and platform based on blockchain and big data, which can help improve the authenticity and accuracy of job seeker information obtained by enterprises, thereby helping to improve the matching degree between enterprises and job seekers, and further helping to achieve the convenience and accuracy of enterprises in recruiting matching talents.

[0004] In order to solve the above technical problems, the first aspect of the present invention discloses a method for investigating occupational information based on blockchain and big data, which is applied to an occupational information investigation platform. The method comprises:

[0005] The occupational information investigation platform obtains object information of a number of job candidates, and for each job candidate, determines the investigation object corresponding to the job candidate according to the object information of the job candidate, wherein the number of investigation objects corresponding to each job candidate is at least one, and each investigation object corresponding to each job candidate has an occupational association relationship with the job candidate;

[0006] For each of the job candidates, the career information survey platform sends predetermined survey question information to each of the survey subjects corresponding to the job candidate, so that each of the survey subjects corresponding to the job candidate performs a matching information reply operation on the survey question information and feeds back the information reply result corresponding to the job candidate to the career information survey platform;

[0007] For each job candidate, the career information investigation platform generates an information investigation result of the job candidate based on the information reply results of all the investigation subjects corresponding to the job candidate;

[0008] For each of the job candidates, the career information investigation platform generates the job candidate's career profile information based on the job candidate's information investigation results; wherein the career profile information of each of the job candidates includes the job candidate's career integrity score information;

[0009] The career information investigation platform generates a job-seeking background information investigation database based on the career profile information of all the job-seeking candidates; wherein the job-seeking background investigation database includes the career profile information of all the job-seeking candidates.

[0010] As an optional implementation, in the first aspect of the present invention, for each job candidate, the career information survey platform sends predetermined survey question information to each survey subject corresponding to the job candidate, so that each survey subject corresponding to the job candidate performs a matching information reply operation on the survey question information and feeds back the information reply result corresponding to the job candidate to the career information survey platform, and then the method further includes:

[0011] For each of the survey subjects corresponding to each of the job candidates, the response information value parameters of the information response results of the survey subject are determined according to the information response results of the survey subject, and the first reward information of the survey subject is determined according to the response information value parameters and a predetermined reward calculation algorithm, and a remuneration reward matching the first reward information of the survey subject is paid to the survey subject; wherein the first reward information of each of the survey subjects includes the remuneration reward value of the survey subject.

[0012] As an optional implementation, in the first aspect of the present invention, before the career information investigation platform obtains the object information of a plurality of job candidates, the method further includes:

[0013] The career information investigation platform obtains historical employment information of at least one candidate, wherein the historical employment information includes one or more of the candidate's historical employment location information, historical employment position information, historical employment duration information, historical career performance information, historical career contribution information, historical career fault information, historical labor dispute information, historical career skill information, historical employment salary information, historical employment environment information, and historical employment colleague relationship information;

[0014] The career information investigation platform calculates the relevance of each block included in the predetermined candidate career information blockchain for each candidate based on the historical employment information of all the candidates and the predetermined candidate career information blockchain, and obtains a relevance set for each candidate, wherein the relevance set includes the relevance of the candidate with each block;

[0015] For each candidate, the career information investigation platform determines the highest correlation from the candidate's correlation set, determines the block corresponding to the highest correlation as the target block corresponding to the candidate, and generates an incremental block corresponding to the candidate based on the candidate's historical employment information and the target block corresponding to the candidate;

[0016] The occupation information investigation platform updates the candidate occupation information blockchain according to all the incremental blocks to obtain the target occupation information blockchain;

[0017] And, for each of the job-seeking candidates, determining the survey object corresponding to the job-seeking candidate according to the object information of the job-seeking candidate includes:

[0018] For each of the job candidates, the career information survey platform determines at least one survey subject corresponding to the job candidate in the target career information blockchain.

[0019] As an optional implementation, in the first aspect of the present invention, for each job candidate, before the career information investigation platform generates the information investigation result of the job candidate based on the information reply results of all the investigation subjects corresponding to the job candidate, the method further includes:

[0020] For each of the job candidates, the career information investigation platform performs an information verification operation on the information reply results of each of the survey subjects corresponding to the job candidate through a predetermined cryptographic algorithm to obtain an information verification result; wherein the information verification result includes the security of the information reply results of each of the survey subjects and the integrity of the information reply results of each of the survey subjects;

[0021] For each job candidate, the career information investigation platform performs an information coordination operation on the information response results of all the survey subjects corresponding to the job candidate through a predetermined consensus algorithm to obtain an information coordination result corresponding to the job candidate; wherein the information coordination result includes the correlation between the information response results of at least two of the survey subjects;

[0022] For each job candidate, the career information investigation platform determines the target question answer results that do not meet the preset information evaluation conditions from the information response results of all the survey subjects based on the information coordination results corresponding to the job candidate and the information verification results, and updates the information response results of the survey subject based on all the target question answer results, and triggers the execution of the operation of generating the information investigation results of the job candidate for each job candidate by the career information investigation platform based on the information response results of all the survey subjects corresponding to the job candidate.

[0023] As an optional implementation, in the first aspect of the present invention, the target occupation information blockchain includes historical employment information of all the candidates;

[0024] Furthermore, after the occupational information investigation platform updates the candidate occupational information blockchain according to all the incremental blocks and obtains the target occupational information blockchain, the method further includes:

[0025] The occupation information investigation platform receives employment requests from a number of employers, and for each of the employers, analyzes the employment request of the employer to obtain the employment demand information of the employer;

[0026] The career information investigation platform calculates the matching degree between each candidate and the employment demand information of each employer according to the employment demand information of each employer and the historical employment information of each candidate, and obtains the matching degree of each employer for each candidate;

[0027] For each of the employers, the career information survey platform determines the highest demand matching degree based on the employer's demand matching degree for each of the candidates, and determines the candidate corresponding to the highest demand matching degree as the target candidate, and generates survey push information based on the historical employment information of the target candidate, and sends the survey push information to the terminal corresponding to the employer.

[0028] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0029] For each of the survey subjects corresponding to each of the job candidates, the career information survey platform determines the information difference value between the survey subject's information response result and the information survey result based on the survey subject's information response result and the job candidate's information survey result corresponding to the survey subject, and determines the authenticity of the survey subject's information response result based on the information difference value;

[0030] For each of the survey subjects corresponding to each of the job-seeking candidates, the career information survey platform determines a weighted score corresponding to the survey subject according to the authenticity of the information response result of the survey subject;

[0031] According to the weighted score values ​​corresponding to all the survey subjects, the target occupation information blockchain is updated;

[0032] Furthermore, after the career information investigation platform obtains historical employment information of at least one candidate, the method further includes:

[0033] The career information investigation platform performs data processing operations on the historical employment information of each candidate based on a predetermined data processing algorithm to obtain the employment information processing results of each candidate;

[0034] Among them, the predetermined data processing algorithms include one or more of data cleaning algorithms, data mining algorithms, machine learning algorithms, and natural language processing algorithms; the employment information processing results include one or more of information quality processing results, information analysis processing results, information prediction processing results, information prediction processing results, information text classification processing results, and information text clustering processing results.

[0035] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0036] The occupational information investigation platform receives an occupational information investigation request sent by at least one investigation requester, determines, for each occupational information investigation request, a requested investigation object corresponding to the occupational information investigation request, and determines whether the job search background information investigation database contains occupational profile information of the requested investigation object corresponding to the occupational information investigation request;

[0037] When it is determined that the job search background information investigation database contains the occupational profile information of the investigation object corresponding to the occupational information investigation request, obtaining the investigation permission parameters of the occupational information investigation request, wherein the investigation permission parameters include the permission parameters of the investigation object corresponding to the occupational information investigation request and / or the permission parameters of the investigation object corresponding to the occupational information investigation request;

[0038] For each of the professional information survey requests, determine whether the survey permission parameters of the professional information survey request meet the preset information access permission conditions. When it is determined that the survey permission parameters of the professional information survey request meet the preset information access permission conditions, obtain the historical reward information corresponding to the professional information survey request. Based on the historical reward information and the preset information access permission conditions, determine the second reward information of the professional information survey request, and send the second reward information to the survey requester corresponding to the professional information survey request, so that the survey requester corresponding to the professional information survey request pays the reward matching the second reward information to the professional information survey platform.

[0039] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0040] The career information investigation platform determines whether a profile viewing request from any of the job candidates has been received;

[0041] When the career information investigation platform determines that a profile viewing request of a job candidate is received, for each job candidate, according to the profile viewing request of the job candidate, a corresponding viewing permission parameter of the job candidate is obtained, wherein the viewing permission parameter of each job candidate includes the permission parameters of the profile viewing requests of all the survey subjects corresponding to the job candidate for the job candidate;

[0042] For each job candidate, the career information investigation platform determines whether the job candidate's access permission parameters meet the preset file access conditions. When it is determined that the job candidate's access permission parameters meet the preset file access conditions, the job candidate's career file information is fed back to the job candidate, and it is determined whether the job candidate has objection information to the career file information. When it is determined that the job candidate has objection information to the career file information, the target certification information of the job candidate and a predetermined target algorithm are obtained to determine the job candidate's confidence, and it is determined whether the job candidate's confidence meets the preset confidence conditions. When it is determined that the job candidate's confidence meets the preset confidence conditions, the job candidate's career file information is updated according to the job candidate's objection information.

[0043] As an optional implementation, in the first aspect of the present invention, for each job candidate, the career information investigation platform generates the job profile information of the job candidate according to the information investigation result of the job candidate, including:

[0044] For each of the job candidates, the career information investigation platform performs an information verification operation on the job candidate's information reply result based on the job candidate's information reply result to obtain the job candidate's information verification result, wherein the job candidate's information verification result includes one or more of the job candidate's education background verification result, work experience verification result, career performance verification result, work attitude verification result, work ability verification result, and interpersonal relationship verification result;

[0045] For each of the job candidates, the career information investigation platform calculates the job candidate's career integrity score information based on the job candidate's information verification results, and generates the job candidate's career profile information based on the job candidate's career integrity score information and the job candidate's information investigation results.

[0046] The second aspect of the present invention discloses a career information survey platform, the platform comprising:

[0047] An acquisition module is used to acquire object information of several job candidates;

[0048] A determination module is used to determine, for each job candidate, a survey object corresponding to the job candidate according to the object information of the job candidate, wherein the number of survey objects corresponding to each job candidate is at least one, and each survey object corresponding to each job candidate has a professional association relationship with the job candidate;

[0049] A sending module is used to send predetermined survey question information to each of the survey subjects corresponding to each of the job candidates, so that each of the survey subjects corresponding to the job candidate performs a matching information reply operation on the survey question information and feeds back the information reply result corresponding to the job candidate to the career information survey platform;

[0050] A generating module, for generating, for each job candidate, an information survey result of the job candidate according to the information reply results of all the survey subjects corresponding to the job candidate;

[0051] The generating module is further used to generate the career profile information of each job candidate according to the information investigation result of the job candidate; wherein the career profile information of each job candidate includes the career integrity score information of the job candidate;

[0052] The generation module is further used to generate a job-seeking background information investigation database based on the professional profile information of all the job-seeking candidates; wherein the job-seeking background investigation database includes the professional profile information of all the job-seeking candidates.

[0053] As an optional implementation, in the second aspect of the present invention, the determination module is further used for the sending module to send predetermined survey question information to each of the survey subjects corresponding to each of the job candidates for each of the job candidates, so that each of the survey subjects corresponding to the job candidates performs a matching information reply operation on the survey question information and feeds back the information reply result corresponding to the job candidate to the career information survey platform. Then, for each of the survey subjects corresponding to each of the job candidates, based on the information reply result of the survey subject, a reply information value parameter of the information reply result of the survey subject is determined, and based on the reply information value parameter and a predetermined reward calculation algorithm, the first reward information of the survey subject is determined;

[0054] The occupational information survey platform further includes:

[0055] The payment module is used to pay the survey subject a reward matching the first reward information of the survey subject; wherein the first reward information of each survey subject includes the reward value of the survey subject.

[0056] As an optional implementation, in the second aspect of the present invention, the acquisition module is further used to acquire historical employment information of at least one candidate before acquiring object information of several job-seeking candidates, wherein the historical employment information includes one or more of the candidate's historical employment location information, historical employment position information, historical employment duration information, historical professional performance information, historical professional contribution information, historical professional fault information, historical labor dispute information, historical professional skill information, historical employment salary information, historical employment environment information, and historical employment colleague relationship information;

[0057] The occupational information survey platform further includes:

[0058] A calculation module, configured to calculate the relevance of each block included in the predetermined candidate occupation information blockchain for each candidate based on the historical employment information of all the candidates and the predetermined candidate occupation information blockchain, and obtain a relevance set for each candidate, wherein the relevance set includes the relevance of the candidate with each block;

[0059] The determination module is further configured to determine, for each candidate, the highest correlation degree from the candidate's correlation degree set by the career information investigation platform, and determine the block corresponding to the highest correlation degree as the target block corresponding to the candidate;

[0060] The generation module is further used to generate an incremental block corresponding to the candidate based on the candidate's historical employment information and the target block corresponding to the candidate;

[0061] An updating module, used to update the candidate occupation information blockchain according to all the incremental blocks to obtain a target occupation information blockchain;

[0062] The specific manner in which the determination module determines, for each job candidate, the survey object corresponding to the job candidate according to the object information of the job candidate includes:

[0063] For each of the job candidates, the career information survey platform determines at least one survey subject corresponding to the job candidate in the target career information blockchain.

[0064] As an optional implementation, in the second aspect of the present invention, the occupational information survey platform further includes:

[0065] A verification module, which is used for, before the generation module generates the information investigation result of the job seeker for each job seeker, based on the information reply results of all the survey subjects corresponding to the job seeker, the career information investigation platform performs an information verification operation on the information reply results of each survey subject corresponding to the job seeker by using a predetermined cryptographic algorithm to obtain an information verification result; wherein the information verification result includes the security of the information reply results of each survey subject and the integrity of the information reply results of each survey subject;

[0066] A coordination module is used to perform information coordination operations on the information response results of all the survey subjects corresponding to each job candidate through a predetermined consensus algorithm to obtain an information coordination result corresponding to the job candidate; wherein the information coordination result includes the correlation between the information response results of at least two of the survey subjects;

[0067] The determination module is further configured to determine, for each job candidate, the target question answer results that do not meet the preset information evaluation conditions from the information answer results of all the survey subjects based on the information coordination result and the information verification result corresponding to the job candidate;

[0068] The updating module is also used to update the information response results of the survey subject based on the response results of all the target questions, and trigger the generating module to execute the operation of generating the information survey results of the job candidate for each job candidate according to the information response results of all the survey subjects corresponding to the job candidate.

[0069] As an optional implementation, in the second aspect of the present invention, the target occupation information blockchain includes historical employment information of all the candidates;

[0070] The occupational information survey platform further includes:

[0071] An analysis module, configured to update the candidate occupation information blockchain according to all the incremental blocks in the update module, and after obtaining the target occupation information blockchain, the occupation information investigation platform receives employment requests from a number of employers, and for each of the employers, analyzes the employment request of the employer to obtain the employment demand information of the employer;

[0072] The calculation module is further used to calculate the matching degree between each candidate and the employment demand information of each employer according to the employment demand information of each employer and the historical employment information of each candidate, so as to obtain the matching degree of each employer's demand for each candidate;

[0073] The determination module is further configured to determine the highest demand matching degree for each of the employers according to the demand matching degree of each of the candidates by the employer, and determine the candidate corresponding to the highest demand matching degree as the target candidate;

[0074] The generating module is further used to generate survey push information based on the historical employment information of the target candidate, and send the survey push information to a terminal corresponding to the employer.

[0075] As an optional implementation, in the second aspect of the present invention, the determination module is further used for, for each of the survey subjects corresponding to each of the job candidates, the career information survey platform determines the information difference value between the information response results of the survey subject and the information survey results of the job candidate corresponding to the survey subject based on the information response results of the survey subject and the information survey results of the job candidate corresponding to the survey subject, and determines the authenticity of the information response results of the survey subject based on the information difference value; for each of the survey subjects corresponding to each of the job candidates, the career information survey platform determines the weighted integral value corresponding to the survey subject based on the authenticity of the information response results of the survey subject;

[0076] The updating module is further used to update the target occupation information blockchain according to the weighted score values ​​corresponding to all the survey subjects;

[0077] Furthermore, the determination module is further configured to, after the occupational information investigation platform of the acquisition module acquires the historical employment information of at least one candidate, perform data processing operations on the historical employment information of each candidate based on a predetermined data processing algorithm to obtain an employment information processing result of each candidate;

[0078] Among them, the predetermined data processing algorithms include one or more of data cleaning algorithms, data mining algorithms, machine learning algorithms, and natural language processing algorithms; the employment information processing results include one or more of information quality processing results, information analysis processing results, information prediction processing results, information prediction processing results, information text classification processing results, and information text clustering processing results.

[0079] As an optional implementation, in the second aspect of the present invention, the acquisition module is further used to receive a professional information investigation request sent by at least one investigation requester;

[0080] The determination module is further used to determine the requested investigation object corresponding to the occupational information investigation request;

[0081] The judgment module is also used to judge whether the job search background information investigation database contains the occupational profile information of the investigation object corresponding to the occupational information investigation request;

[0082] The acquisition module is further configured to acquire the survey permission parameters of the occupational information investigation request when the judgment module determines that the job search background information investigation database contains the occupational profile information of the requested investigation object corresponding to the occupational information investigation request, wherein the survey permission parameters include the permission parameters of the requested investigation object corresponding to the occupational information investigation request and / or the permission parameters of the investigation object corresponding to the occupational information investigation request;

[0083] The occupational information investigation platform further includes: a judgment module, for judging, for each occupational information investigation request, whether the investigation permission parameter of the occupational information investigation request satisfies a preset information access permission condition;

[0084] The acquisition module is further configured to acquire the historical reward information corresponding to the occupational information investigation request when the determination module determines that the investigation permission parameter of the occupational information investigation request meets the preset information access permission condition;

[0085] The determination module is further configured to determine the second reward information of the occupation information investigation request based on the historical reward information and the preset information access authority condition;

[0086] The sending module is also used to send the second reward information to the survey requester corresponding to the occupational information survey request, so that the survey requester corresponding to the occupational information survey request pays the reward matching the second reward information to the occupational information survey platform.

[0087] As an optional implementation, in the second aspect of the present invention, the judgment module is further used to judge whether a profile viewing request of any of the job candidates is received;

[0088] The acquisition module is further configured to, when it is determined that a profile viewing request of the job candidate is received, obtain, for each job candidate, a corresponding viewing permission parameter of the job candidate according to the profile viewing request of the job candidate, wherein the viewing permission parameter of each job candidate includes the permission parameters of the profile viewing requests of all the survey subjects corresponding to the job candidate for the job candidate;

[0089] The judgment module is further used to judge, for each job candidate, whether the access permission parameter of the job candidate meets the preset file access condition;

[0090] The sending module is further configured to feed back the job candidate's professional file information to the job candidate when the judging module judges that the job candidate's access permission parameters meet the preset file access conditions;

[0091] The judgment module is also used to judge whether the job candidate has any objection to the occupational profile information;

[0092] The determination module is further configured to obtain target certification information of the job candidate and a predetermined target algorithm to determine the confidence of the job candidate when the determination module determines that the job candidate has the objection information to the occupational profile information;

[0093] The judging module is further used to judge whether the confidence of the job candidate meets the preset confidence condition;

[0094] The updating module is further configured to update the job candidate's career profile information according to the job candidate's objection information when the judging module judges that the job candidate's confidence meets the preset confidence condition;

[0095] The payment module is further used to determine the third reward information for each of the survey subjects corresponding to each of the job candidates based on the reply information value parameter and the predetermined reward calculation algorithm, and pay each of the survey subjects a remuneration reward that matches the third reward information of the survey subject; wherein the third reward information includes the remuneration reward value of the survey subject.

[0096] As an optional implementation, in the second aspect of the present invention, the specific manner in which the generating module generates the career profile information of each job candidate according to the information investigation result of the job candidate includes:

[0097] For each of the job candidates, the career information investigation platform performs an information verification operation on the job candidate's information reply result based on the job candidate's information reply result to obtain the job candidate's information verification result, wherein the job candidate's information verification result includes one or more of the job candidate's education background verification result, work experience verification result, career performance verification result, work attitude verification result, work ability verification result, and interpersonal relationship verification result;

[0098] For each of the job candidates, the career information investigation platform calculates the job candidate's career integrity score information based on the job candidate's information verification results, and generates the job candidate's career profile information based on the job candidate's career integrity score information and the job candidate's information investigation results.

[0099] The third aspect of the present invention discloses another occupational information survey platform, the platform comprising:

[0100] A memory storing executable program code;

[0101] a processor coupled to the memory;

[0102] The processor calls the executable program code stored in the memory to execute the occupational information investigation method based on blockchain and big data disclosed in the first aspect of the present invention.

[0103] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the occupational information investigation method based on blockchain and big data disclosed in the first aspect of the present invention.

[0104] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0105] In the embodiment of the present invention, the survey object is determined based on the object information of multiple job candidates, and survey question information is sent to each survey object so that all survey objects can reply. The information survey result of each job candidate is generated based on the information reply results of all survey objects, and the confidence of the job candidate is determined in combination with various information. When the confidence of the job candidate meets the confidence condition, the information survey result is updated according to the objection information of the job candidate, and the professional profile information of each job candidate is generated according to the information survey results of all job candidates, and then a professional background information survey database is generated. It can be seen that the implementation of the present invention can improve the authenticity and accuracy of the job seeker information obtained by the enterprise, and thus facilitate the convenience and accuracy of the enterprise in recruiting matching talents. BRIEF DESCRIPTION OF THE DRAWINGS

[0106] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0107] Figure 1 It is a flowchart of a method for investigating occupational information based on blockchain and big data disclosed in an embodiment of the present invention;

[0108] Figure 2 It is a flowchart of another occupational information investigation method based on blockchain and big data disclosed in an embodiment of the present invention;

[0109] Figure 3 It is a structural diagram of a career information investigation platform disclosed in an embodiment of the present invention;

[0110] Figure 4 It is a structural diagram of another occupational information investigation platform disclosed in an embodiment of the present invention;

[0111] Figure 5 It is a structural diagram of another occupational information investigation platform disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0112] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0113] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0114] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0115] The present invention discloses a method and platform for investigating occupational information based on blockchain and big data, which can improve the authenticity and accuracy of the information of job seekers obtained by enterprises, thereby facilitating the convenience and accuracy of enterprises in recruiting matching talents. The following are detailed descriptions.

[0116] Embodiment 1

[0117] See also Figure 1 , Figure 1 This is a flowchart of a method for investigating occupational information based on blockchain and big data disclosed in an embodiment of the present invention. Figure 1 The described occupational information investigation method based on blockchain and big data can be applied to an occupational information investigation platform, and can also be applied to an occupational information investigation device based on blockchain and big data, and the embodiments of the present invention are not limited thereto. Figure 1 As shown, the occupational information investigation method based on blockchain and big data may include the following operations:

[0118] 101. The career information investigation platform obtains object information of a number of job candidates, and for each job candidate, determines the investigation object corresponding to the job candidate based on the object information of the job candidate.

[0119] In the embodiment of the present invention, each job candidate corresponds to at least one survey subject, and each survey subject corresponding to each job candidate has a professional association relationship with the job candidate.

[0120] In the embodiment of the present invention, optionally, the object information of several job candidates may be obtained in real time, or may be obtained periodically according to a preset time period, or may be obtained based on the need to determine the professional profile information of each job candidate, which is not specifically limited in the embodiment of the present invention.

[0121] In the embodiment of the present invention, optionally, the object information of each job candidate includes one or more of the job candidate's work location information, job position information, and historical work unit information.

[0122] In the embodiment of the present invention, optionally, the survey subjects corresponding to each job candidate include one or more of the job candidate's former colleagues, human resource management workers of the job candidate's previous unit, and the job candidate's superior.

[0123] In the embodiment of the present invention, optionally, the object information corresponding to each job candidate is the object information provided by the job candidate after authorization.

[0124] In the embodiment of the present invention, further optionally, for each job candidate, determining the survey object corresponding to the job candidate according to the object information of the job candidate may include:

[0125] For each job candidate, determine at least one candidate survey object according to the object information of the job candidate, and obtain survey permission information of the job candidate and all the candidate survey objects, wherein the survey permission information includes survey permission parameters of the job candidate and each candidate survey object;

[0126] According to the survey permission information, survey subjects whose survey permission parameters meet the preset survey permission conditions are screened out from all candidate survey subjects, and all survey subjects are determined as survey subjects corresponding to the job candidate.

[0127] 102. For each job candidate, the career information survey platform sends predetermined survey question information to each survey subject corresponding to the job candidate, so that each survey subject corresponding to the job candidate performs a matching information response operation on the survey question information and feeds back the information response result corresponding to the job candidate to the career information survey platform.

[0128] In an embodiment of the present invention, optionally, the survey question information may be predetermined, wherein the survey question information includes one or more of working hours survey information, job position survey information, job salary survey information, years of work survey information, work experience survey information, work ability survey information, and work efficiency survey information.

[0129] In the embodiment of the present invention, optionally, the survey question information received by each survey subject corresponding to each job candidate may be the same or different, which is not specifically limited in the embodiment of the present invention.

[0130] In the embodiment of the present invention, optionally, for each job candidate, the career information survey platform sends predetermined survey question information to each survey subject corresponding to the job candidate, so that each survey subject corresponding to the job candidate performs a matching information reply operation on the survey question information and feeds back the information reply result corresponding to the job candidate to the career information survey platform, which may include:

[0131] For each job candidate, the career information survey platform determines the career attribute information of each survey object corresponding to the job candidate, and determines the target survey question information of the survey object based on the career attribute information of the survey object, wherein the target survey question information of the survey object matches the career attribute information of the survey object;

[0132] The career information survey platform sends target survey question information corresponding to the job candidate to each survey subject, so that each survey subject corresponding to the job candidate performs a matching information response operation on the target survey question information, and feeds back the information response result corresponding to the job candidate to the career information survey platform.

[0133] For example, the occupational attribute information of each survey subject includes one or more of the occupational position information, occupational working hours information, and the associated time information between the survey subject and the job candidate; wherein the associated time information between the survey subject and the job candidate is used to indicate the time information corresponding to the survey subject and the job candidate belonging to the same company. In this way, the target survey question information of each survey subject can be specifically determined based on the occupational attribute information of each survey subject so that the survey subject can answer and feedback the information answer result to the occupational information survey platform, so that each survey subject can answer based on the target survey information that matches itself, which is conducive to improving the accuracy and reliability of each survey subject's answers and replies to the target survey information, and is conducive to improving the intelligence of each survey subject's urgent answers and replies to the target survey information.

[0134] 103. For each job candidate, the career information investigation platform generates information investigation results for the job candidate based on the information response results of all the survey subjects corresponding to the job candidate.

[0135] In the embodiment of the present invention, optionally, the information survey result of each job candidate includes the information reply results made by all survey subjects corresponding to the job candidate.

[0136] 104. For each job candidate, the career information investigation platform generates the job candidate's career profile information based on the job candidate's information investigation results.

[0137] In the embodiment of the present invention, optionally, the occupation information of each job candidate includes at least the information investigation result of the job candidate.

[0138] 105. The career information investigation platform generates a job search background information investigation database based on the career profile information of all job candidates.

[0139] In the embodiment of the present invention, the job search background investigation database includes the professional profile information of all job search candidates.

[0140] In the embodiment of the present invention, optionally, the job-seeking background information investigation database includes the professional profile information of all job-seeking candidates.

[0141] It can be seen that implementation Figure 1 The described occupational information investigation method based on blockchain and big data can determine the investigation object based on the object information of multiple job candidates, and send investigation question information to each investigation object so that all investigation objects can reply, generate the information investigation results of each job candidate based on the information reply results of all investigation objects, generate the occupational profile information of each job candidate according to the information investigation results of all job candidates, and then generate an occupational background information investigation database, which can improve the authenticity and accuracy of the job seeker information obtained by the enterprise, and thus help the enterprise to recruit matching talents with convenience and accuracy, and through multiple job seekers and the investigation objects corresponding to each job seeker all participate in the information investigation platform, it is possible to combine various information to jointly generate the occupational profile information corresponding to each job seeker, which is conducive to improving the accuracy and reliability of generating the occupational profile information corresponding to each job seeker, and further help to improve the accuracy and comprehensiveness of the occupational background information of each job seeker contained in the generated job background information investigation database, and thus help to improve the convenience and accuracy of subsequent recruitment based on the job background information investigation database, and can have a better understanding of the job seekers based on the occupational background information contained in the job background information investigation database, which is conducive to saving the recruitment process and improving the matching degree between job seekers and applicant units.

[0142] Embodiment 2

[0143] See also Figure 2 , Figure 2 This is a flow chart of another method for investigating occupational information based on blockchain and big data disclosed in an embodiment of the present invention. Figure 2The described occupational information investigation method based on blockchain and big data can be applied to an occupational information investigation platform, and can also be applied to an occupational information investigation device based on blockchain and big data, and the embodiments of the present invention are not limited thereto. Figure 2 As shown, the occupational information investigation method based on blockchain and big data may include the following operations:

[0144] 201. The career information investigation platform obtains object information of a number of job candidates, and for each job candidate, determines the investigation object corresponding to the job candidate based on the object information of the job candidate.

[0145] 202. For each job candidate, the career information survey platform sends predetermined survey question information to each survey subject corresponding to the job candidate, so that each survey subject corresponding to the job candidate performs a matching information response operation on the survey question information and feeds back the information response result corresponding to the job candidate to the career information survey platform.

[0146] 203. For each survey subject corresponding to each job candidate, determine the response information value parameters of the survey subject's information response results based on the survey subject's information response results, and determine the first reward information of the survey subject based on the response information value parameters and a predetermined reward calculation algorithm, and pay the survey subject a remuneration reward that matches the survey subject's first reward information.

[0147] In the embodiment of the present invention, the first reward information of each survey subject includes the reward value of the survey subject, wherein the reward value includes the fee value.

[0148] In the embodiment of the present invention, optionally, for each job candidate, if the number of survey subjects corresponding to the job candidate is at least two, the remuneration rewards for different survey subjects corresponding to the job candidate may be the same or different, and the embodiment of the present invention does not make specific limitations.

[0149] In the embodiment of the present invention, optionally, the predetermined reward calculation algorithm may include one or more of an average calculation algorithm, a weighted calculation algorithm, and the like.

[0150] In the embodiment of the present invention, optionally, for each survey subject corresponding to each job candidate, determining the response information value parameter of the information response result of the survey subject according to the information response result of the survey subject may include:

[0151] For each survey subject corresponding to each job candidate, the information response results of the survey subject are input into a predetermined value determination model to obtain a value determination result, and the response value parameters of the information response results of the survey subject are determined based on the value determination result, wherein the value determination result includes the amount of effective information contained in the information response results of the survey subject.

[0152] In the embodiment of the present invention, optionally, the determining the first reward information of the survey object according to the reply information value parameter and the predetermined reward calculation algorithm may include:

[0153] Calculate first reward information matching the reply information value parameter according to the reply information value parameter and a predetermined reward calculation algorithm;

[0154] Among them, the predetermined reward calculation algorithm includes one or more of an average calculation algorithm and a weighted average algorithm.

[0155] 204. For each job candidate, the career information investigation platform generates an information investigation result of the job candidate based on the information response results of all the survey subjects corresponding to the job candidate.

[0156] 205. For each job candidate, the career information investigation platform generates the job candidate's career profile information based on the job candidate's information investigation results.

[0157] 206. The career information investigation platform generates a job search background information investigation database based on the career profile information of all job candidates.

[0158] In the embodiment of the present invention, for the detailed description of steps 201 to 202 and steps 204 to 206, please refer to other descriptions of steps 101 to 105 in the first embodiment, and the embodiment of the present invention will not be repeated here.

[0159] It can be seen that implementation Figure 2The described information investigation method based on blockchain and big data can determine the reply information value parameter according to the information reply result of each investigator, and determine the first reward information of each investigator according to the reply information value parameter and the reward calculation algorithm, and pay the investigator a matching remuneration reward. By introducing an incentive mechanism, the career information investigation platform can pay reward information matching the information reply result to each investigator participating in the career information investigation process, so as to stimulate each investigator to participate in the career information investigation process. The distributed incentive mechanism can encourage more participants to join the information investigation of the career information investigation platform, and promote the collaboration and development of all parties at the same time. The coverage of the platform can be expanded, which is conducive to improving the number and comprehensiveness of the information reply results corresponding to each job candidate. Moreover, through the distributed incentive mechanism, each investigator can obtain certain rewards or benefits, which can motivate all major participants to participate in data recording and verification more actively, which is conducive to improving the credibility of the platform to obtain data, and is conducive to improving the accuracy and reliability of the information reply results of each job candidate and then generating the career information investigation results of each job seeker, and thus is conducive to improving the accuracy and comprehensiveness of the background information of each job candidate contained in the generated job background information database.

[0160] In an optional embodiment, before the career information investigation platform obtains the object information of a plurality of job candidates, the method further includes:

[0161] The career information investigation platform obtains historical employment information of at least one candidate, and the historical employment information includes one or more of the candidate's historical employment location information, historical employment position information, historical employment duration information, historical career performance information, historical career contribution information, historical career fault information, historical labor dispute information, historical career skill information, historical employment salary information, historical employment environment information, and historical employment colleague relationship information;

[0162] The career information investigation platform calculates the relevance of each candidate in each block included in the predetermined candidate career information blockchain based on the historical employment information of all candidates and the predetermined candidate career information blockchain, and obtains a relevance set of each candidate, the relevance set including the relevance of the candidate with each block;

[0163] For each candidate, the career information investigation platform determines the highest correlation from the candidate's correlation set, and determines the block corresponding to the highest correlation as the target block corresponding to the candidate, and generates an incremental block corresponding to the candidate based on the candidate's historical employment information and the candidate's target block;

[0164] The occupation information investigation platform updates the candidate occupation information blockchain based on all incremental blocks to obtain the target occupation information blockchain;

[0165] And, for each job candidate, determining the survey object corresponding to the job candidate according to the object information of the job candidate, including:

[0166] For each job candidate, the career information investigation platform determines at least one investigation object corresponding to the job candidate in the target career information blockchain.

[0167] In this optional embodiment, the predetermined candidate career information blockchain optionally includes background information of several candidates, wherein the background information includes one or more of each candidate's basic personal information, educational background information, personal work experience information, personal work highlights or achievements information, work project experience information, acquired skills and certification information, and hobbies information.

[0168] In this optional embodiment, optionally, the career information investigation platform calculates the relevance of each block included in the predetermined candidate career information blockchain for each candidate based on the historical employment information of all candidates and the predetermined candidate career information blockchain, which may include:

[0169] The career information investigation platform extracts the first keyword in each candidate's historical employment information and the second keyword in each block based on the historical employment information of all candidates and each block included in the predetermined candidate career information blockchain, calculates the keyword matching degree for each candidate based on the candidate's first keyword and the second keyword in each block, and determines the relevance of each candidate in each block included in the predetermined candidate career information blockchain based on the keyword matching degree;

[0170] Among them, the higher the keyword matching degree, the higher the relevance of the candidate to the block; the lower the keyword matching degree, the lower the relevance of the candidate to the block.

[0171] In this optional embodiment, optionally, the original information contained in the predetermined alternative career information blockchain cannot be changed, and the historical employment information of each candidate can only be recorded in the alternative career information blockchain by adding it to update the alternative career information blockchain.

[0172] It can be seen that the implementation of this optional embodiment can obtain the historical employment information of multiple candidates and calculate the correlation of each block included in the alternative career information blockchain for each candidate in combination with the alternative career information blockchain to obtain a correlation set, and determine the target block corresponding to the candidate based on the highest correlation, and then generate an incremental block and update the alternative career information blockchain to obtain a target career information blockchain, record and verify the employment big data of each candidate through blockchain technology, ensure the authenticity and accuracy of the information, and by utilizing blockchain technology, create an unchangeable data chain, and record the personal information of job seekers through blockchain, so as to achieve safe recording and safe storage of data and avoid data tampering and forgery, which is conducive to improving the accuracy and reliability of the occupational profile information included in the job search background information survey database, and is also conducive to improving the security of data storage; and, by calculating the correlation between each candidate and each block in the alternative career information blockchain to determine the incremental block to update the blockchain, information with high correlation can be aggregated, which is conducive to improving the orderliness of the generated blockchain, and is conducive to improving the convenience and directness of users viewing or searching for information based on the blockchain, and is conducive to improving the user's sense of use and experience.

[0173] In yet another optional embodiment, for each job candidate, before the career information investigation platform generates the job candidate information investigation result based on the information reply results of all the investigation subjects corresponding to the job candidate, the method further includes:

[0174] For each job candidate, the career information investigation platform performs information verification operations on the information response results of each survey subject corresponding to the job candidate through a predetermined cryptographic algorithm to obtain an information verification result; wherein the information verification result includes the security of the information response results of each survey subject and the integrity of the information response results of each survey subject;

[0175] For each job candidate, the career information investigation platform performs information coordination operations on the information response results of all survey subjects corresponding to the job candidate through a predetermined consensus algorithm to obtain the information coordination result corresponding to the job candidate; wherein the information coordination result includes the correlation between the information response results of at least two survey subjects;

[0176] For each job candidate, the career information investigation platform determines the target question response results that do not meet the preset information evaluation conditions from the information response results of all survey subjects based on the information coordination results and information verification results corresponding to the job candidate, updates the information response results of the survey subject based on all target question response results, and triggers the execution of the operation of generating the information investigation results of the job candidate based on the information response results of all survey subjects corresponding to the job candidate.

[0177] In this optional embodiment, optionally, the predetermined cryptographic algorithm may include one or more of a hash algorithm and a digital signature algorithm, wherein the cryptographic algorithm is used to ensure the security and integrity of the data; the predetermined consensus algorithm may include a node algorithm, wherein the consensus algorithm is used to coordinate data records and verification records between multiple nodes to ensure the accuracy and consistency of the data.

[0178] In this optional embodiment, optionally, for the information response result of each survey object, if the security of the information response result is greater than a preset security threshold and the integrity of the information response result is greater than a preset integrity threshold, it is determined that the information response result meets the preset verification requirements; if the security of the information response result is less than or equal to the preset security threshold and / or the integrity of the information response result is less than or equal to the preset integrity threshold, it is determined that the information response result does not meet the preset verification requirements.

[0179] In this optional embodiment, optionally, for each job candidate, the career information investigation platform performs an information coordination operation on the information response results of all the investigation objects corresponding to the job candidate through a predetermined consensus algorithm to obtain the information coordination result corresponding to the job candidate, which may include:

[0180] For each job candidate, the career information investigation platform uses a predetermined consensus algorithm to perform information extraction operations on the information response results of all survey subjects corresponding to the job candidate to obtain key information, and based on the key information of all survey subjects, determines the information association parameters between every two information response results, and based on the information association parameters between all information response results, determines the information coordination result corresponding to the job candidate; wherein the information association parameters include the information association value between every two information response results.

[0181] It can be seen that the implementation of this optional embodiment can perform an information verification operation on the information response result of each survey object through a cryptographic algorithm to obtain an information verification result, and perform an information coordination operation on the information response results of all survey objects corresponding to each job candidate through a consensus algorithm to obtain an information coordination result, and determine the target question response result and update the information response result of each survey object in combination with the information coordination result and the information verification result. It can ensure the security and integrity of the data based on the cryptographic algorithm, and coordinate data recording and data verification between multiple nodes through the consensus algorithm to ensure the accuracy and consistency of the data, and can trigger the operation of generating the information survey result of each survey object only after the information response result of each survey object is updated based on the target question response result. It can combine multiple algorithms to comprehensively perform verification operations on the information survey results of each survey object, which is conducive to further improving the accuracy and reliability of the information survey results determined for each survey object, and is conducive to further improving the credibility and security of the information survey results determined for each survey object.

[0182] In yet another optional embodiment, the target career information blockchain includes historical employment information of all candidates;

[0183] And, after the occupational information investigation platform updates the candidate occupational information blockchain according to all incremental blocks and obtains the target occupational information blockchain, the method further includes:

[0184] The occupation information investigation platform receives recruitment requests from a number of employers, and for each employer, analyzes the recruitment request of the employer to obtain the recruitment demand information of the employer;

[0185] The career information survey platform calculates the matching degree between each candidate and each employer's employment demand information based on each employer's employment demand information and each candidate's historical employment information, and obtains the matching degree of each employer's demand for each candidate;

[0186] For each employer, the career information survey platform determines the highest demand match based on the employer's demand match for each candidate, and identifies the candidate with the highest demand match as the target candidate. Based on the target candidate's historical employment information, it generates survey push information and sends the survey push information to the corresponding terminal of the employer.

[0187] In this optional embodiment, optionally, the employment demand information of each employer includes one or more of the employer's job requirements, the number of personnel required for each position, the learning background information of the personnel required for each position, the working years information of the personnel required for each position, the learning major information of the personnel required for each position, and the historical work experience information of the personnel required for each position.

[0188] In this optional embodiment, the above-mentioned occupation information investigation platform calculates the matching degree between each candidate and the employment demand information of each employer based on the employment demand information of each employer and the historical employment information of each candidate, and obtains the demand matching degree of each employer for each candidate, which may include:

[0189] The career information investigation platform determines the employment demand keywords in the employment demand information and the historical experience keywords of each candidate based on the employment demand information of each employer and the historical employment information of each candidate, calculates the demand keyword matching degree between the employment demand keywords and the historical experience keywords of each candidate, and determines the demand matching degree between each employer and each candidate based on the demand keyword matching degree between the employment demand keywords and the historical experience keywords of each candidate; wherein, the higher the demand keyword matching degree, the higher the demand matching degree between the candidate and the employer; the lower the demand keyword matching degree, the lower the demand matching degree between the candidate and the employer.

[0190] In this optional embodiment, optionally, the above-mentioned generation of survey push information based on the historical employment information of the target candidate may include:

[0191] Based on the historical employment information of the target candidate and the employment demand information of the employer, a visual matching relationship between the target candidate and the employer is generated, wherein the visual matching relationship includes one or more of the matching degree between the target candidate and the employer, the matching degree between the target candidate and each sub-demand information included in the employment demand information of the employer, and the historical employment information of the target candidate; and based on the visual matching relationship, survey push information is generated.

[0192] It can be seen that the implementation of this optional embodiment can calculate the demand matching degree between the employment demand information of each employer and the historical employment information of each candidate based on the employment demand information of multiple employers and the historical employment information of each candidate, and determine the target candidate based on the highest matching degree, generate survey push information based on the historical employment information of the target candidate and send it to the corresponding terminal of the employer, and can determine the target candidate by the calculated matching degree between each candidate and the employment demand information of the employer, and generate survey push information based on the historical employment information of the target candidate to push the relevant information of the target candidate to the employer, and can intelligently match the target candidate related to its employment demand information and the historical employment information of the target candidate to the employer, which is conducive to simplifying the employer's recruitment process and improving the intelligence and efficiency of the employer in recruitment, and push the target candidate matching its employment demand information to the employer through the career information survey platform, which is conducive to further improving the accuracy and reliability of the employer's recruitment of talents, as well as further improving the convenience and intelligence of the employer's recruitment of talents.

[0193] In yet another optional embodiment, the method further includes:

[0194] For each survey subject corresponding to each job candidate, the career information survey platform determines the information difference value between the survey subject's information response result and the information survey result based on the survey subject's information response result and the job candidate's information survey result corresponding to the survey subject, and determines the authenticity of the survey subject's information response result based on the information difference value;

[0195] For each survey object corresponding to each job candidate, the career information survey platform determines the weighted score value corresponding to the survey object based on the authenticity of the information response results of the survey object;

[0196] Update the target occupation information blockchain according to the weighted score values ​​corresponding to all survey subjects;

[0197] And, after the career information investigation platform obtains historical employment information of at least one candidate, the method further includes:

[0198] The career information investigation platform performs data processing operations on each candidate's historical employment information based on a predetermined data processing algorithm to obtain each candidate's employment information processing results;

[0199] Among them, the predetermined data processing algorithms include one or more of data cleaning algorithms, data mining algorithms, machine learning algorithms, and natural language processing algorithms; the employment information processing results include one or more of information quality processing results, information analysis processing results, information prediction processing results, information prediction processing results, information text classification processing results, and information text clustering processing results.

[0200] In this optional embodiment, further optionally, for each survey subject corresponding to each job candidate, before the career information survey platform determines the information difference value between the information response result of the survey subject and the information survey result of the job candidate corresponding to the survey subject, the method may also include:

[0201] Performing data processing operations on the information response results of each survey subject and the information survey results of the job-seeking candidates corresponding to the survey subject through a preset target data processing algorithm, so as to update the information response results of each survey subject and the information survey results of the job-seeking candidates corresponding to the survey subject;

[0202] Among them, the preset target data processing algorithms include one or more of data cleaning algorithms, data mining algorithms and machine learning algorithms; the data cleaning algorithm is used to process the information response results of each survey subject and the noise data and outliers in the information survey results of the job candidates corresponding to each survey subject, so as to improve the quality and accuracy of the data; the data mining algorithm is used to analyze the information response results of each survey subject and the patterns and rules in the information survey results of the job candidates corresponding to each survey subject, so as to provide data support for subsequent decision-making; the machine learning algorithm is used to train and learn the information response results of each survey subject and the information survey results of the job candidates corresponding to each survey subject, so as to realize the prediction and classification of occupational data.

[0203] In this optional embodiment, optionally, determining the authenticity of the information response result of the survey subject according to the information difference value may include:

[0204] According to the information difference value, the object confidence of each survey object and the job candidate corresponding to the survey object is determined, and according to the information difference value and the confidence of all objects, the authenticity of the information response result of the survey object is determined.

[0205] In this optional embodiment, optionally, the text classification operation is used to classify all text data according to a preset classification method, wherein the preset classification method may include one or more of a text style classification method, a text quantity classification method, and a text semantic classification method; the text clustering operation is used to cluster all texts according to a preset clustering method, wherein the preset classification method may include one or more of a text quantity clustering operation and a text semantic clustering operation.

[0206] It can be seen that the implementation of this optional embodiment can determine the information difference value and further determine the authenticity of the information reply results based on the information reply results of each survey object and the information survey results of the job seekers corresponding to each survey object, and determine the weighted score value corresponding to each survey object based on the authenticity of the information reply results of each survey object, update the target occupational information blockchain according to the weighted score values ​​of all survey objects, and perform data processing operations on the historical employment information of each candidate based on the data processing algorithm to obtain the employment information processing results of each candidate, and can determine the weighted score value corresponding to each survey object and update the target occupational information blockchain in combination with the authenticity of the information reply results of each survey object, and can update the target occupational information blockchain in combination with the authenticity of the information reply results of each survey object and the weighted score value, which is conducive to improving the accuracy and reliability of the subsequent determination of the candidate's historical employment information or occupational background check information based on the target occupational information blockchain, and is conducive to improving the timeliness and real-time nature of updating the target occupational information blockchain, and can update the target occupational information blockchain in combination with the weighted score value of each survey object, which is conducive to further improving the credibility and security of updating the target occupational information blockchain, and further conducive to improving the security and credibility of subsequent users retrieving background check information through the target occupational information blockchain.

[0207] In yet another optional embodiment, the method further includes:

[0208] The career information investigation platform receives a career information investigation request sent by at least one investigation requester, determines, for each career information investigation request, a requested investigation object corresponding to the career information investigation request, and determines whether a job search background information investigation database contains career profile information of the requested investigation object corresponding to the career information investigation request;

[0209] When it is determined that the job search background information investigation database contains the occupational profile information of the investigation object corresponding to the occupational information investigation request, obtaining the investigation permission parameters of the occupational information investigation request, wherein the investigation permission parameters include the permission parameters of the investigation object corresponding to the occupational information investigation request and / or the permission parameters of the investigation object corresponding to the occupational information investigation request;

[0210] For each occupational information investigation request, determine whether the investigation permission parameters of the occupational information investigation request meet the preset information access permission conditions; when it is determined that the investigation permission parameters of the occupational information investigation request meet the preset information access permission conditions, obtain the historical reward information corresponding to the occupational information investigation request; based on the historical reward information and the preset information access permission conditions, determine the second reward information of the occupational information investigation request; and send the second reward information to the investigation requester corresponding to the occupational information investigation request, so that the investigation requester corresponding to the occupational information investigation request pays the reward matching the second reward information to the occupational information investigation platform;

[0211] For the first reward information of each survey object corresponding to each job candidate, the third reward information is determined according to the reply information value parameter and a predetermined reward calculation algorithm, and a remuneration reward matching the third reward information of the survey object is paid to each survey object; wherein the third reward information includes the remuneration reward value of the survey object.

[0212] In this optional embodiment, further optionally, when it is determined that the job search background information investigation database does not contain the occupational profile information of the person being investigated corresponding to the occupational information investigation request, this process may be terminated.

[0213] In this optional embodiment, further optionally, when it is determined that the job search background information investigation database does not contain the occupational profile information of the person being investigated corresponding to the occupational information investigation request, this process may be terminated.

[0214] In this optional embodiment, optionally, for each occupational information investigation request, determining whether the investigation permission parameter of the occupational information investigation request meets the preset information access permission condition may include:

[0215] For each occupational information survey request, determining a survey permission value corresponding to a survey permission parameter of the occupational information survey request;

[0216] Determine whether the investigation permission value corresponding to the investigation permission parameter of the occupational information investigation request is greater than or equal to the access permission value corresponding to the preset information access authority condition;

[0217] When it is determined that the investigation permission value corresponding to the investigation permission parameter of the occupational information investigation request is greater than or equal to the access permission value corresponding to the preset information access permission condition, it is determined that the investigation permission parameter of the occupational information investigation request satisfies the preset information access permission condition;

[0218] When it is determined that the investigation permission value corresponding to the investigation permission parameter of the occupational information investigation request is less than the access permission value corresponding to the preset information access permission condition, it is determined that the investigation permission parameter of the occupational information investigation request does not meet the preset information access permission condition.

[0219] In this optional embodiment, the third reward information optionally includes a reward value to be paid to each survey subject, wherein the reward value includes a fee value. For example, for job candidate A, survey subjects B and survey subjects C participated in the information survey process for A, and the first reward information corresponding to B and C is 500 yuan. Based on the reply information value parameters of B and C, the first reward information and the reward calculation algorithm, it is determined that the third reward information corresponding to B and C is 100 yuan, and 100 yuan is paid to B and C this time.

[0220] In this optional embodiment, optionally, the historical reward information corresponding to each career information survey request includes one or more of the historical payment times information of the survey requester who sent the career information survey request, the reward information paid each time in history, and the historical total payment reward information.

[0221] In this optional embodiment, further optionally, after determining that the investigation permission parameter of the occupational information investigation request meets the preset information access permission condition, the above method may also include:

[0222] Determine third reward information based on the occupational profile information of the survey subject corresponding to the occupational information survey request and the historical reward information corresponding to the occupational information survey request, wherein the third reward information is used to indicate the reward information that the occupational information survey platform needs to pay to the requesting survey subject corresponding to the occupational information survey request and / or to the survey subject corresponding to the occupational information survey request;

[0223] A reward matching the third reward information is paid to the requesting survey object corresponding to the professional information survey request and / or to the survey object corresponding to the professional information survey request, wherein the reward matching the third reward information includes a reward fee value.

[0224] In this optional embodiment, optionally, for example, if the career information survey request sent by the survey requester is used to indicate that the survey requester requests to view the career information of user A, then it is necessary to obtain the permission parameters of user A and the survey object B corresponding to user A, and determine whether the permission parameters of user A and survey object B both meet the preset information access permission conditions. If so, the career information of user A will be sent to the survey requester, and the calculated second reward information of 50 yuan will be sent to the survey requester, so that the survey requester pays 50 yuan to the career information survey platform, wherein the second reward information includes the reward fee value.

[0225] It can be seen that the implementation of this optional embodiment can determine whether the job search background information investigation database contains the corresponding professional profile information of the requested investigation object based on the professional information investigation requests sent by multiple investigation requesters. If so, the investigation permission parameters of the professional information investigation request are obtained and it is determined whether the investigation permission parameters meet the preset information access permission conditions. If so, the historical reward information corresponding to the professional information request is obtained, and the second reward information is determined in combination with the historical reward information and the information access permission conditions. The second reward information is sent to the investigation requester so that the investigation requester pays the reward operation matching the second reward information to the professional information investigation platform. By allowing multiple parties to participate in the information investigation activities of the professional information investigation platform, participants can provide services based on their contributions and performance. Services and products can be used to obtain corresponding rewards, which can enhance the effectiveness and fairness of incentives. It can also have a distributed organizational structure, and can realize the reward distribution and decision-making process of participants through smart contracts and consensus mechanisms, which can enhance the decentralization and transparency of the system, avoid the risks of centralization and monopoly, and can combine the two characteristics of distribution and marketization in a market-oriented distributed incentive mechanism, and realize the distribution and decision-making process of incentives through smart contracts and blockchain technology. This combination can give full play to the advantages of marketization and distribution, enhance the effectiveness and fairness of incentives, and further help to improve the authenticity and accuracy of job seeker information obtained by enterprises, thereby helping to improve the matching degree between enterprises and job seekers, and then helping to realize the convenience and accuracy of enterprises in recruiting matching talents.

[0226] In yet another optional embodiment, the method further includes:

[0227] The career information investigation platform determines whether it has received a profile viewing request from any job candidate;

[0228] When the career information investigation platform determines that a job candidate's profile viewing request has been received, for each job candidate, according to the job candidate's profile viewing request, the platform obtains the corresponding access permission parameters of the job candidate, wherein the access permission parameters of each job candidate include the permission parameters of all survey subjects corresponding to the job candidate for the job candidate's profile viewing request;

[0229] For each job candidate, the career information investigation platform determines whether the job candidate's access permission parameters meet the preset file access conditions. When it is determined that the job candidate's access permission parameters meet the preset file access conditions, the job candidate's career file information is fed back to the job candidate, and it is determined whether the job candidate has objection information to the career file information. When it is determined that the job candidate has objection information to the career file information, the job candidate's target certification information and a predetermined target algorithm are obtained to determine the job candidate's confidence, and it is determined whether the job candidate's confidence meets the preset confidence conditions. When it is determined that the job candidate's confidence meets the preset confidence conditions, the job candidate's career file information is updated according to the job candidate's objection information.

[0230] In this optional embodiment, further optionally, when it is determined that no profile viewing request from a job candidate has been received, the process may be terminated.

[0231] In this optional embodiment, further optionally, when it is determined that the access permission parameters of the job candidate do not meet the preset file access conditions, the process can be terminated.

[0232] In this optional embodiment, optionally, the above-mentioned determination of whether the job candidate has objection information to the occupational profile information may include:

[0233] Receive the job candidate's verification information on the information investigation result, and determine whether there is any abnormal investigation information in the verification information that does not match the information investigation result; when it is determined that there is abnormal investigation information in the verification information that does not match the information investigation result, determine that the job candidate has objection to the information investigation result; when it is determined that there is no abnormal investigation information in the verification information that does not match the information investigation result, determine that the job candidate has no objection to the information investigation result.

[0234] In an embodiment of the present invention, optionally, if a job candidate has objection information to the information investigation result and the objection information is the length of work, the information investigation result indicates that the job candidate has worked in Company A for 1 year, but the job candidate's objection information is that he has worked in Company A for 2 years, and the job candidate's confidence meets a preset confidence threshold and the job candidate provides a work certificate that he has worked in Company A for 2 years, then the job candidate's objection is deemed to be established, and the information investigation result of the job candidate is updated based on the job candidate's objection information.

[0235] In the embodiment of the present invention, optionally, determining whether the confidence of the job candidate meets a preset confidence condition may include:

[0236] Determine whether the confidence level of the job candidate is greater than or equal to the confidence level threshold corresponding to the confidence level condition;

[0237] When it is determined that the confidence level of the job candidate is greater than or equal to the confidence level threshold corresponding to the confidence level condition, it is determined that the confidence level of the job candidate satisfies the preset confidence level condition;

[0238] When it is determined that the confidence of the job candidate is less than the confidence threshold corresponding to the confidence condition, it is determined that the confidence of the job candidate does not meet the preset confidence condition.

[0239] In the embodiment of the present invention, optionally, the historical behavior information of each job candidate includes one or more of the job candidate's historical work information, historical job position information, and historical work integrity information; the target certification information of each job candidate includes one or more of professional position certification information, professional duration certification information, professional work location certification information, and professional ability certification information, which is not specifically limited in the embodiment of the present invention. Optionally, the pre-determined target algorithm may include one or more of a hash algorithm, a digital signature algorithm, a consensus algorithm, a data cleaning algorithm, a data mining algorithm, a machine learning algorithm, and a natural language processing algorithm.

[0240] It can be seen that the implementation of this optional embodiment can obtain the corresponding access permission parameters of each job candidate when receiving a file viewing request from any job candidate and determine whether the preset file viewing conditions are met. If so, the job candidate's professional file information is fed back to the job candidate and it is determined whether the job candidate has objection information. If so, the job candidate's target certification information is obtained and the job candidate's confidence is determined in combination with the target algorithm. If the job candidate's confidence meets the confidence condition, the professional file information is updated according to the job candidate's objection information. The job candidate's professional file information can be updated in combination with the process of each job candidate verifying his or her professional file information. This is beneficial for the enterprise to obtain the authenticity and accuracy of the job seeker information, and further beneficial for the enterprise to recruit matching talents with convenience and accuracy, and further beneficial for improving the accuracy and comprehensiveness of the professional background information of each job candidate contained in the generated job background information survey database.

[0241] In another optional embodiment, for each job candidate, the career information investigation platform generates the job candidate's career profile information according to the job candidate's information investigation result, including:

[0242] For each job candidate, the career information investigation platform performs an information verification operation on the job candidate's information reply result based on the job candidate's information reply result to obtain the job candidate's information verification result, wherein the job candidate's information verification result includes one or more of the job candidate's education background verification result, work experience verification result, career performance verification result, work attitude verification result, work ability verification result, and interpersonal relationship verification result;

[0243] For each job candidate, the career information investigation platform calculates the job candidate's career integrity score information based on the job candidate's information verification results, and generates the job candidate's career profile information based on the job candidate's career integrity score information and the job candidate's information investigation results.

[0244] In this optional embodiment, optionally, the educational background verification result of each job candidate includes one or more of the job candidate's graduation school verification result, academic qualification verification result, study time verification result, major verification result, learning form verification result, and graduation status verification result; the work experience verification result includes one or more of work time verification results, job position verification results, and work location verification results; the professional performance verification result includes one or more of professional contribution verification results and professional fault verification results; the work attitude verification result includes one or more of work positive attitude verification results and work negative attitude verification results; the work ability verification result includes one or more of skill verification results and certificate verification results; the interpersonal relationship verification result includes one or more of positive evaluation verification results and negative evaluation verification results.

[0245] In this optional embodiment, further optionally, the above-mentioned generation of the job candidate's career profile information based on the job candidate's career integrity score information and the job candidate's information investigation results may include:

[0246] Obtain the third-party data of the job candidate, and generate the job candidate's career profile information based on the job candidate's career integrity score information, the job candidate's information survey results, and the third-party data;

[0247] The third-party information of the job candidate includes one or more of the job candidate's identity information, educational certification information, credit certification information, and criminal record certification information.

[0248] It can be seen that the implementation of this optional embodiment can perform information verification operations based on the information response results of each job candidate to obtain information verification results, and calculate the job candidate's professional integrity score information based on the information verification results of each job candidate, and generate the job candidate's professional profile information in combination with the job candidate's professional integrity score information and the information survey results. It can specifically calculate the professional integrity score information of each job candidate, can obtain the quantitative score result of the professional integrity of each job candidate, and can intuitively view the integrity score of each job candidate, which is conducive to improving the convenience and accuracy of subsequent recruitment based on the job background information investigation database, and can have a better understanding of the job candidates based on the professional background information contained in the job background information investigation database, which is conducive to improving the convenience of corporate recruitment.

[0249] Embodiment 3

[0250] See also Figure 3 , Figure 3 Schematic diagram of a professional information survey platform disclosed in an embodiment of the present invention. Figure 3 As shown, the career information survey platform may include:

[0251] The acquisition module 301 is used to acquire object information of several job candidates;

[0252] The determination module 302 is used to determine, for each job candidate, a survey object corresponding to the job candidate according to the object information of the job candidate, wherein the number of survey objects corresponding to each job candidate is at least one, and each survey object corresponding to each job candidate has a professional association relationship with the job candidate;

[0253] The sending module 303 is used to send predetermined survey question information to each survey subject corresponding to each job candidate, so that each survey subject corresponding to the job candidate performs a matching information reply operation on the survey question information and feeds back the information reply result corresponding to the job candidate to the career information survey platform;

[0254] A generating module 304 is used to generate, for each job candidate, an information survey result of the job candidate according to the information reply results of all survey subjects corresponding to the job candidate;

[0255] The generating module 304 is further used to generate the career profile information of each job candidate according to the information investigation result of the job candidate; wherein the career profile information of each job candidate includes the career integrity score information of the job candidate;

[0256] The generation module 304 is further used to generate a job-seeking background information investigation database based on the professional profile information of all job-seeking candidates; wherein the job-seeking background investigation database includes the professional profile information of all job-seeking candidates.

[0257] It can be seen that implementation Figure 3 The described platform can determine the survey object based on the object information of multiple job candidates, and send survey question information to each survey object so that all survey objects can reply, generate information survey results for each job candidate based on the information reply results of all survey objects, generate professional profile information of each job candidate based on the information survey results of all job candidates, and then generate a professional background information survey database, which can improve the authenticity and accuracy of job seeker information obtained by the enterprise, which is conducive to the convenience and accuracy of the enterprise recruiting matching talents, and is conducive to improving the accuracy and reliability of generating the corresponding professional profile information of each job seeker, and further is conducive to improving the accuracy and comprehensiveness of the professional background information of each job seeker contained in the generated job background information survey database, which is conducive to improving the convenience and accuracy of subsequent recruitment based on the job background information survey database, and can have a better understanding of the job seekers based on the professional background information contained in the job background information survey database, which is conducive to saving the recruitment process and improving the matching degree between job seekers and applying units.

[0258] In an optional embodiment, if Figure 4 As shown, the determination module 302 is also used for sending the predetermined survey question information to each survey object corresponding to each job candidate in the sending module 304, so that each survey object corresponding to the job candidate performs a matching information reply operation on the survey question information and obtains the information reply result. Then, for each survey object corresponding to each job candidate, according to the information reply result of the survey object, the reply information value parameter of the information reply result of the survey object is determined, and according to the reply information value parameter and the predetermined reward calculation algorithm, the first reward information of the survey object is determined;

[0259] The career information survey platform also includes:

[0260] The payment module 305 is used to pay the survey subject a reward matching the first reward information of the survey subject; wherein the first reward information of each survey subject includes the reward value of the survey subject.

[0261] It can be seen that implementation Figure 4The described platform can determine the reply information value parameter according to the information reply result of each survey object, and determine the first reward information of each survey object according to the reply information value parameter and the reward calculation algorithm, and pay the survey object a matching remuneration reward. It can introduce an incentive mechanism and pay reward information matching the information reply result to each survey object participating in the career information survey process through the career information survey platform, so as to inspire each survey object to participate in the career information survey process. It can encourage more participants to join the information survey of the career information survey platform through the distributed incentive mechanism, and promote the cooperation and development of all parties at the same time, expand the coverage of the platform, and help to increase the number and comprehensiveness of the information reply results corresponding to each job candidate. Moreover, through the distributed incentive mechanism, each survey object can obtain certain rewards or benefits, which can motivate all major participants to participate in data recording and verification more actively, which is conducive to improving the credibility of the data obtained by the platform, and is conducive to improving the accuracy and reliability of the information reply results of each job candidate and then generating the career information survey results of each job seeker, and thus is conducive to improving the accuracy and comprehensiveness of the background information of each job candidate contained in the generated job background information database.

[0262] In another optional embodiment, Figure 4 As shown, the acquisition module 301 is also used to acquire historical employment information of at least one candidate before acquiring object information of several job-seeking candidates, the historical employment information including one or more of the candidate's historical employment location information, historical employment position information, historical employment duration information, historical professional performance information, historical professional contribution information, historical professional fault information, historical labor dispute information, historical professional skill information, historical employment salary information, historical employment environment information, and historical employment colleague relationship information;

[0263] The career information survey platform also includes:

[0264] The calculation module 306 is used to calculate the relevance of each block included in the predetermined candidate occupation information blockchain for each candidate based on the historical employment information of all candidates and the predetermined candidate occupation information blockchain, and obtain a relevance set for each candidate, the relevance set including the relevance of the candidate with each block;

[0265] The determination module 302 is further configured to determine, for each candidate, the highest correlation degree from the correlation degree set of the candidate by the career information investigation platform, and determine the block corresponding to the highest correlation degree as the target block corresponding to the candidate;

[0266] The generation module 304 is further used to generate an incremental block corresponding to the candidate based on the historical employment information of the candidate and the target block corresponding to the candidate;

[0267] An updating module 307 is used to update the candidate occupation information blockchain according to all incremental blocks to obtain a target occupation information blockchain;

[0268] The specific method of determining the survey object corresponding to each job candidate according to the object information of the job candidate by the determination module 302 includes:

[0269] For each job candidate, the career information investigation platform determines at least one investigation object corresponding to the job candidate in the target career information blockchain.

[0270] It can be seen that implementation Figure 4 The described platform can obtain the historical employment information of multiple candidates and calculate the correlation of each block included in the alternative career information blockchain for each candidate in combination with the alternative career information blockchain to obtain a correlation set, and determine the target block corresponding to the candidate based on the highest correlation, and then generate an incremental block and update the alternative career information blockchain to obtain a target career information blockchain, record and verify the employment big data of each candidate through blockchain technology, ensure the authenticity and accuracy of the information, and by utilizing blockchain technology, create an unchangeable data chain, and record the personal information of job seekers through blockchain, so as to achieve safe recording and safe storage of data and avoid data tampering and forgery, which is conducive to improving the accuracy and reliability of the occupational profile information included in the job search background information investigation database, and is also conducive to improving the security of data storage; and by calculating the correlation between each candidate and each block in the alternative career information blockchain to determine the incremental block to update the blockchain, information with high correlation can be aggregated, which is conducive to improving the orderliness of the generated blockchain, and is conducive to improving the convenience and directness of users viewing or searching for information based on the blockchain, and is conducive to improving the user's sense of use and experience.

[0271] In yet another optional embodiment, Figure 4 As shown, the career information survey platform also includes:

[0272] Verification module 308 is used for, before generating module 304 generates the information survey result of the job seeker for each job seeker, based on the information reply results of all the survey subjects corresponding to the job seeker, the career information survey platform performs information verification operation on the information reply results of each survey subject corresponding to the job seeker by using a predetermined cryptographic algorithm to obtain the information verification result; wherein the information verification result includes the security of the information reply results of each survey subject and the integrity of the information reply results of each survey subject;

[0273] The coordination module 309 is used to perform information coordination operations on the information response results of all survey subjects corresponding to each job candidate through a predetermined consensus algorithm to obtain the information coordination result corresponding to the job candidate; wherein the information coordination result includes the correlation between the information response results of at least two survey subjects;

[0274] The determination module 302 is further used to determine, for each job candidate, the target question answer results that do not meet the preset information evaluation conditions from the information answer results of all survey subjects based on the information coordination results and information verification results corresponding to the job candidate;

[0275] The updating module 307 is also used to update the information response results of the survey object based on the response results of all target questions, and trigger the generating module 304 to execute the operation of generating the information survey results of each job candidate according to the information response results of all survey objects corresponding to the job candidate.

[0276] It can be seen that implementation Figure 4 The described platform can perform information verification operations on the information response results of each survey object through a cryptographic algorithm to obtain information verification results, and perform information coordination operations on the information response results of all survey objects corresponding to each job candidate through a consensus algorithm to obtain information coordination results, and determine the target question response results and update the information response results of each survey object in combination with the information coordination results and the information verification results. It can ensure the security and integrity of the data based on the cryptographic algorithm, and coordinate data recording and data verification between multiple nodes through the consensus algorithm to ensure the accuracy and consistency of the data. It can trigger the operation of generating the information survey results of each survey object only after the information response results of each survey object are updated based on the target question response results. It can combine multiple algorithms to comprehensively verify the information survey results of each survey object, which is conducive to further improving the accuracy and reliability of the information survey results of each survey object, and is conducive to further improving the credibility and security of the information survey results of each survey object.

[0277] In yet another optional embodiment, Figure 4 As shown, the target career information blockchain includes the historical employment information of all candidates;

[0278] The career information survey platform also includes:

[0279] The analysis module 310 is used to update the candidate occupation information blockchain according to all incremental blocks in the update module 307. After obtaining the target occupation information blockchain, the occupation information investigation platform receives employment requests from several employers, and for each employer, analyzes the employment request of the employer to obtain the employment demand information of the employer;

[0280] The calculation module 306 is further used to calculate the matching degree between each candidate and the employment demand information of each employer according to the employment demand information of each employer and the historical employment information of each candidate, so as to obtain the matching degree of each employer's demand for each candidate;

[0281] The determination module 302 is further configured to determine the highest demand matching degree for each employer according to the demand matching degree of each candidate of the employer, and determine the candidate corresponding to the highest demand matching degree as the target candidate;

[0282] The generating module 304 is further used to generate survey push information based on the historical employment information of the target candidate, and send the survey push information to the terminal corresponding to the employer.

[0283] It can be seen that implementation Figure 4 The described platform can calculate the demand matching degree between the employment demand information of each employer and the historical employment information of each candidate based on the employment demand information of multiple employers and the historical employment information of each candidate, and determine the target candidate based on the highest matching degree, generate survey push information based on the historical employment information of the target candidate and send it to the corresponding terminal of the employer, can determine the target candidate by the calculated matching degree between each candidate and the employment demand information of the employer, and generate survey push information based on the historical employment information of the target candidate to push the relevant information of the target candidate to the employer, can intelligently match the target candidates related to its employment demand information and the historical employment information of the target candidates to the employer, which is conducive to simplifying the recruitment process of the employer, and is conducive to improving the intelligence and efficiency of the employer in recruitment. Pushing target candidates matching the employment demand information to the employer through the career information survey platform is conducive to further improving the accuracy and reliability of the employer's recruitment of talents, as well as further improving the convenience and intelligence of the employer's recruitment of talents.

[0284] In yet another optional embodiment, Figure 4 As shown, the determination module 302 is also used for, for each survey object corresponding to each job candidate, the career information survey platform determines the information difference value between the information response result of the survey object and the information survey result of the job candidate corresponding to the survey object according to the information response result of the survey object and the information survey result of the job candidate corresponding to the survey object, and determines the authenticity of the information response result of the survey object according to the information difference value; for each survey object corresponding to each job candidate, the career information survey platform determines the weighted integral value corresponding to the survey object according to the authenticity of the information response result of the survey object;

[0285] The updating module 307 is further used to update the target occupation information blockchain according to the weighted score values ​​corresponding to all survey subjects;

[0286] And, the determination module 302 is further used to perform data processing operations on the historical employment information of each candidate based on a predetermined data processing algorithm after the occupational information investigation platform of the acquisition module 301 acquires the historical employment information of at least one candidate, so as to obtain the employment information processing result of each candidate;

[0287] Among them, the predetermined data processing algorithms include one or more of data cleaning algorithms, data mining algorithms, machine learning algorithms, and natural language processing algorithms; the employment information processing results include one or more of information quality processing results, information analysis processing results, information prediction processing results, information prediction processing results, information text classification processing results, and information text clustering processing results.

[0288] It can be seen that implementation Figure 4The described platform can determine the information difference value and further determine the authenticity of the information response results based on the information response results of each survey object and the information survey results of the job-seeking candidates corresponding to each survey object, and determine the weighted score value corresponding to each survey object based on the authenticity of the information response results of each survey object, update the target occupational information blockchain according to the weighted score values ​​of all survey objects, and perform data processing operations on the historical employment information of each candidate based on the data processing algorithm to obtain the employment information processing results of each candidate, and can determine the weighted score value corresponding to each survey object and update the target occupational information blockchain in combination with the authenticity of the information response results of each survey object, and can update the target occupational information blockchain in combination with the authenticity of the information response results of each survey object and the weighted score value, which is conducive to improving the accuracy and reliability of the subsequent determination of the candidate's historical employment information or occupational background check information based on the target occupational information blockchain, and is conducive to improving the timeliness and real-time nature of updating the target occupational information blockchain, and can update the target occupational information blockchain in combination with the weighted score value of each survey object, which is conducive to further improving the credibility and security of updating the target occupational information blockchain, and further conducive to improving the security and credibility of subsequent users retrieving background check information through the target occupational information blockchain.

[0289] In yet another optional embodiment, Figure 4 As shown, the acquisition module 301 is also used to receive a professional information survey request sent by at least one survey requester;

[0290] The determination module 302 is further used to determine the requested investigation object corresponding to the occupation information investigation request;

[0291] The career information investigation platform further includes: a judgment module 311, which is used to judge whether the job search background information investigation database contains the career file information of the investigation object corresponding to the career information investigation request;

[0292] The acquisition module 301 is further used to acquire the survey permission parameters of the occupational information survey request when the judgment module 311 judges that the job search background information survey database contains the occupational profile information of the requested survey object corresponding to the occupational information survey request, wherein the survey permission parameters include the permission parameters of the requested survey object corresponding to the occupational information survey request and / or the permission parameters of the survey object corresponding to the occupational information survey request;

[0293] The judgment module 311 is further used to judge, for each occupational information investigation request, whether the investigation permission parameter of the occupational information investigation request meets the preset information access permission condition;

[0294] The acquisition module 301 is further configured to acquire the historical reward information corresponding to the occupational information investigation request when the determination module 311 determines that the investigation permission parameter of the occupational information investigation request meets the preset information access permission condition;

[0295] The determination module 302 is further used to determine the second reward information of the occupation information investigation request based on the historical reward information and the preset information access permission conditions;

[0296] The sending module 303 is further used to send the second reward information to the survey requester corresponding to the occupational information survey request, so that the survey requester corresponding to the occupational information survey request pays the reward matching the second reward information to the occupational information survey platform;

[0297] The payment module 305 is also used to determine the third reward information for each survey object corresponding to each job candidate based on the reply information value parameter and a predetermined reward calculation algorithm, and pay each survey object a remuneration reward that matches the third reward information of the survey object; wherein the third reward information includes the remuneration reward value of the survey object.

[0298] It can be seen that implementation Figure 4 The described platform can determine whether the job search background information investigation database contains the corresponding occupational profile information of the requested investigation object based on the occupational information investigation requests sent by multiple investigation requesters. If so, the investigation permission parameters of the occupational information investigation request are obtained and it is determined whether the investigation permission parameters meet the preset information access permission conditions. If so, the historical reward information corresponding to the occupational information request is obtained, and the second reward information is determined in combination with the historical reward information and the information access permission conditions. The second reward information is sent to the investigation requester so that the investigation requester pays the reward operation matching the second reward information to the occupational information investigation platform. By having multiple parties participate in the information investigation activities of the occupational information investigation platform, participants can provide services and products according to their contributions and performances. Products can be obtained and corresponding rewards can be obtained, which can enhance the effect and fairness of incentives. It can also have a distributed organizational structure, and can realize the reward distribution and decision-making process of participants through smart contracts and consensus mechanisms, which can enhance the decentralization and transparency of the system, avoid the risks of centralization and monopoly, and can combine the two characteristics of distribution and marketization in a market-oriented distributed incentive mechanism. The allocation and decision-making process of incentives can be realized through smart contracts and blockchain technology. This combination can give full play to the advantages of marketization and distribution, enhance the effect and fairness of incentives, and further help to improve the authenticity and accuracy of job seeker information obtained by enterprises, thereby helping to improve the matching degree between enterprises and job seekers, and then helping to realize the convenience and accuracy of enterprises in recruiting matching talents.

[0299] In yet another optional embodiment, Figure 4 As shown, the determination module 311 is also used to determine whether a profile viewing request of any job candidate has been received;

[0300] The acquisition module 301 is further configured to, when the judgment module 311 determines that a profile viewing request of a job candidate is received, obtain, for each job candidate, a corresponding viewing permission parameter of the job candidate according to the profile viewing request of the job candidate, wherein the viewing permission parameter of each job candidate includes permission parameters of profile viewing requests of all survey subjects corresponding to the job candidate for the job candidate;

[0301] The judging module 311 is further used to judge, for each job candidate, whether the access permission parameter of the job candidate meets the preset file access condition;

[0302] The sending module 303 is further used to feed back the job candidate's professional file information to the job candidate when the judging module 311 judges that the job candidate's access permission parameters meet the preset file access conditions;

[0303] The judgment module 311 is also used to judge whether the job candidate has any objection to the career profile information;

[0304] The determination module 302 is further configured to obtain the target certification information of the job candidate and a predetermined target algorithm to determine the confidence of the job candidate when the determination module 311 determines that the job candidate has objection information to the job profile information;

[0305] The judging module 311 is also used to judge whether the confidence of the job candidate meets the preset confidence condition;

[0306] The updating module 307 is further configured to update the job candidate's career profile information according to the job candidate's objection information when the judging module 311 judges that the job candidate's confidence meets a preset confidence condition.

[0307] It can be seen that implementation Figure 4The described device can obtain the corresponding access permission parameters of each job candidate upon receiving a file viewing request from any job candidate and determine whether the preset file viewing conditions are met. If so, the job candidate's professional file information is fed back to the job candidate and it is determined whether the job candidate has objection information. If so, the job candidate's target certification information is obtained and the job candidate's confidence is determined in combination with the target algorithm. If the job candidate's confidence meets the confidence condition, the professional file information is updated according to the job candidate's objection information. The job candidate's professional file information can be updated in combination with the process of each job candidate verifying his or her professional file information. This is beneficial for the enterprise to obtain the authenticity and accuracy of the job seeker information, and further beneficial for the enterprise to recruit matching talents with convenience and accuracy, and further beneficial for improving the accuracy and comprehensiveness of the professional background information of each job candidate contained in the generated job background information survey database.

[0308] In yet another optional embodiment, Figure 4 As shown, the specific method of generating module 304 for each job candidate, based on the information survey result of the job candidate, generating the job candidate's career profile information includes:

[0309] For each job candidate, the career information investigation platform performs an information verification operation on the job candidate's information reply result based on the job candidate's information reply result to obtain the job candidate's information verification result, wherein the job candidate's information verification result includes one or more of the job candidate's education background verification result, work experience verification result, career performance verification result, work attitude verification result, work ability verification result, and interpersonal relationship verification result;

[0310] For each job candidate, the career information investigation platform calculates the job candidate's career integrity score information based on the job candidate's information verification results, and generates the job candidate's career profile information based on the job candidate's career integrity score information and the job candidate's information investigation results.

[0311] It can be seen that implementation Figure 4The described device can perform information verification operations based on the information reply results of each job candidate to obtain information verification results, and calculate the job candidate's professional integrity score information based on the information verification results of each job candidate, and generate the job candidate's professional profile information in combination with the job candidate's professional integrity score information and information investigation results. It can specifically calculate the professional integrity score information of each job candidate, can obtain the quantitative score result of the professional integrity of each job candidate, and can intuitively view the integrity score of each job candidate, which is conducive to improving the convenience and accuracy of subsequent recruitment based on the job background information investigation database, and can have a better understanding of the job candidates based on the professional background information contained in the job background information investigation database, which is conducive to improving the convenience of corporate recruitment.

[0312] Embodiment 4

[0313] See also Figure 5 , Figure 5 FIG. 1 is a schematic diagram of the structure of another occupational information survey platform disclosed in an embodiment of the present invention. Figure 5 As shown, the career information survey platform may include:

[0314] A memory 401 storing executable program codes;

[0315] a processor 402 coupled to the memory 401;

[0316] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the occupational information investigation method based on blockchain and big data described in the first embodiment of the present invention or the second embodiment of the present invention.

[0317] Embodiment 5

[0318] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the occupational information investigation method based on blockchain and big data described in Embodiment 1 or Embodiment 2 of the present invention.

[0319] Embodiment 6

[0320] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the occupational information investigation method based on blockchain and big data described in Example 1 or Example 2.

[0321] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0322] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0323] Finally, it should be noted that the occupational information investigation method and device based on blockchain and big data disclosed in the embodiment of the present invention only discloses the preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for investigating occupational information based on blockchain and big data, characterized in that: The occupational information investigation method is applied to an occupational information investigation platform, and the method comprises: The occupational information investigation platform obtains object information of a number of job candidates, and for each job candidate, determines the investigation object corresponding to the job candidate according to the object information of the job candidate, wherein the number of investigation objects corresponding to each job candidate is at least one, and each investigation object corresponding to each job candidate has an occupational association relationship with the job candidate; For each of the job candidates, the career information survey platform sends predetermined survey question information to each of the survey subjects corresponding to the job candidate, so that each of the survey subjects corresponding to the job candidate performs a matching information reply operation on the survey question information and feeds back the information reply result corresponding to the job candidate to the career information survey platform; For each job candidate, the career information investigation platform generates an information investigation result of the job candidate based on the information reply results of all the investigation subjects corresponding to the job candidate; For each of the job candidates, the career information investigation platform generates the job candidate's career profile information based on the job candidate's information investigation results; wherein the career profile information of each of the job candidates includes the job candidate's career integrity score information; The career information investigation platform generates a job search background information investigation database based on the career profile information of all the job search candidates; wherein the job search background investigation database includes the career profile information of all the job search candidates; Before the career information investigation platform obtains the object information of a plurality of job candidates, the method further includes: The career information investigation platform obtains historical employment information of at least one candidate, wherein the historical employment information includes one or more of the candidate's historical employment location information, historical employment position information, historical employment duration information, historical career performance information, historical career contribution information, historical career fault information, historical labor dispute information, historical career skill information, historical employment salary information, historical employment environment information, and historical employment colleague relationship information; The career information investigation platform calculates the relevance of each block included in the predetermined candidate career information blockchain for each candidate based on the historical employment information of all the candidates and the predetermined candidate career information blockchain, and obtains a relevance set for each candidate, wherein the relevance set includes the relevance of the candidate with each block; For each candidate, the career information investigation platform determines the highest correlation from the candidate's correlation set, determines the block corresponding to the highest correlation as the target block corresponding to the candidate, and generates an incremental block corresponding to the candidate based on the candidate's historical employment information and the target block corresponding to the candidate; The occupation information investigation platform updates the candidate occupation information blockchain according to all the incremental blocks to obtain the target occupation information blockchain; And, for each of the job-seeking candidates, determining the survey object corresponding to the job-seeking candidate according to the object information of the job-seeking candidate includes: For each of the job candidates, the career information survey platform determines at least one survey subject corresponding to the job candidate in the target career information blockchain.

2. The occupational information investigation method based on blockchain and big data according to claim 1 is characterized in that: After the career information survey platform sends predetermined survey question information to each survey subject corresponding to the job candidate for each job candidate, so that each survey subject corresponding to the job candidate performs a matching information reply operation on the survey question information and feeds back the information reply result corresponding to the job candidate to the career information survey platform, the method further includes: For each of the survey subjects corresponding to each of the job candidates, the response information value parameters of the information response results of the survey subject are determined according to the information response results of the survey subject, and the first reward information of the survey subject is determined according to the response information value parameters and a predetermined reward calculation algorithm, and a remuneration reward matching the first reward information of the survey subject is paid to the survey subject; wherein the first reward information of each of the survey subjects includes the remuneration reward value of the survey subject.

3. The occupational information investigation method based on blockchain and big data according to claim 1 is characterized in that: For each job candidate, before the career information investigation platform generates the information investigation result of the job candidate according to the information reply results of all the investigation subjects corresponding to the job candidate, the method further includes: For each of the job candidates, the career information investigation platform performs an information verification operation on the information reply results of each of the survey subjects corresponding to the job candidate through a predetermined cryptographic algorithm to obtain an information verification result; wherein the information verification result includes the security of the information reply results of each of the survey subjects and the integrity of the information reply results of each of the survey subjects; For each job candidate, the career information investigation platform performs an information coordination operation on the information response results of all the survey subjects corresponding to the job candidate through a predetermined consensus algorithm to obtain an information coordination result corresponding to the job candidate; wherein the information coordination result includes the correlation between the information response results of at least two of the survey subjects; For each job candidate, the career information investigation platform determines the target question answer results that do not meet the preset information evaluation conditions from the information response results of all the survey subjects based on the information coordination results corresponding to the job candidate and the information verification results, and updates the information response results of the survey subject based on all the target question answer results, and triggers the execution of the operation of generating the information investigation results of the job candidate for each job candidate by the career information investigation platform based on the information response results of all the survey subjects corresponding to the job candidate.

4. The occupational information investigation method based on blockchain and big data according to claim 1 or 3 is characterized in that: The target career information blockchain includes historical employment information of all candidates; Furthermore, after the occupational information investigation platform updates the candidate occupational information blockchain according to all the incremental blocks and obtains the target occupational information blockchain, the method further includes: The occupation information investigation platform receives employment requests from a number of employers, and for each of the employers, analyzes the employment request of the employer to obtain the employment demand information of the employer; The career information investigation platform calculates the matching degree between each candidate and the employment demand information of each employer according to the employment demand information of each employer and the historical employment information of each candidate, and obtains the matching degree of each employer for each candidate; For each of the employers, the career information survey platform determines the highest demand matching degree based on the employer's demand matching degree for each of the candidates, and determines the candidate corresponding to the highest demand matching degree as the target candidate, and generates survey push information based on the historical employment information of the target candidate, and sends the survey push information to the terminal corresponding to the employer.

5. The occupational information investigation method based on blockchain and big data according to claim 1 is characterized in that: The method further comprises: For each of the survey subjects corresponding to each of the job candidates, the career information survey platform determines the information difference value between the survey subject's information response result and the information survey result based on the survey subject's information response result and the job candidate's information survey result corresponding to the survey subject, and determines the authenticity of the survey subject's information response result based on the information difference value; For each of the survey subjects corresponding to each of the job-seeking candidates, the career information survey platform determines a weighted score corresponding to the survey subject according to the authenticity of the information response result of the survey subject; According to the weighted score values ​​corresponding to all the survey subjects, the target occupation information blockchain is updated; Furthermore, after the career information investigation platform obtains historical employment information of at least one candidate, the method further includes: The career information investigation platform performs data processing operations on the historical employment information of each candidate based on a predetermined data processing algorithm to obtain the employment information processing results of each candidate; Among them, the predetermined data processing algorithms include one or more of data cleaning algorithms, data mining algorithms, machine learning algorithms, and natural language processing algorithms; the employment information processing results include one or more of information quality processing results, information analysis processing results, information prediction processing results, information prediction processing results, information text classification processing results, and information text clustering processing results.

6. The occupational information investigation method based on blockchain and big data according to claim 2 is characterized in that: The method further comprises: The occupational information investigation platform receives an occupational information investigation request sent by at least one investigation requester, determines, for each occupational information investigation request, a requested investigation object corresponding to the occupational information investigation request, and determines whether the job search background information investigation database contains occupational profile information of the requested investigation object corresponding to the occupational information investigation request; When it is determined that the job search background information investigation database contains the occupational profile information of the investigation object corresponding to the occupational information investigation request, obtaining the investigation permission parameters of the occupational information investigation request, wherein the investigation permission parameters include the permission parameters of the investigation object corresponding to the occupational information investigation request and / or the permission parameters of the investigation object corresponding to the occupational information investigation request; For each of the occupational information survey requests, determine whether the survey permission parameters of the occupational information survey request meet the preset information access permission conditions; when it is determined that the survey permission parameters of the occupational information survey request meet the preset information access permission conditions, obtain the historical reward information corresponding to the occupational information survey request; based on the historical reward information and the preset information access permission conditions, determine the second reward information of the occupational information survey request; and send the second reward information to the survey requester corresponding to the occupational information survey request, so that the survey requester corresponding to the occupational information survey request pays the reward matching the second reward information to the occupational information survey platform; For the first reward information of each of the survey subjects corresponding to each of the job candidates, the third reward information is determined according to the reply information value parameter and the predetermined reward calculation algorithm, and a remuneration reward matching the third reward information of the survey subject is paid to each of the survey subjects; wherein the third reward information includes the remuneration reward value of the survey subject.

7. The occupational information investigation method based on blockchain and big data according to claim 1 is characterized in that: The method further comprises: The career information investigation platform determines whether a profile viewing request from any of the job candidates has been received; When the career information investigation platform determines that a profile viewing request of a job candidate is received, for each job candidate, according to the profile viewing request of the job candidate, a corresponding viewing permission parameter of the job candidate is obtained, wherein the viewing permission parameter of each job candidate includes the permission parameters of the profile viewing requests of all the survey subjects corresponding to the job candidate for the job candidate; For each job candidate, the career information investigation platform determines whether the job candidate's access permission parameters meet the preset file access conditions. When it is determined that the job candidate's access permission parameters meet the preset file access conditions, the job candidate's career file information is fed back to the job candidate, and it is determined whether the job candidate has objection information to the career file information. When it is determined that the job candidate has objection information to the career file information, the target certification information of the job candidate and a predetermined target algorithm are obtained to determine the job candidate's confidence, and it is determined whether the job candidate's confidence meets the preset confidence conditions. When it is determined that the job candidate's confidence meets the preset confidence conditions, the job candidate's career file information is updated according to the job candidate's objection information.

8. The occupational information investigation method based on blockchain and big data according to claim 1 is characterized in that: For each job candidate, the career information investigation platform generates the job candidate's career profile information according to the job candidate's information investigation result, including: For each of the job candidates, the career information investigation platform performs an information verification operation on the job candidate's information reply result based on the job candidate's information reply result to obtain the job candidate's information verification result, wherein the job candidate's information verification result includes one or more of the job candidate's education background verification result, work experience verification result, career performance verification result, work attitude verification result, work ability verification result, and interpersonal relationship verification result; For each of the job candidates, the career information investigation platform calculates the job candidate's career integrity score information based on the job candidate's information verification results, and generates the job candidate's career profile information based on the job candidate's career integrity score information and the job candidate's information investigation results.

9. A career information survey platform, characterized in that: The occupational information survey platform includes: An acquisition module is used to acquire object information of several job candidates; A determination module is used to determine, for each job candidate, a survey object corresponding to the job candidate according to the object information of the job candidate, wherein the number of survey objects corresponding to each job candidate is at least one, and each survey object corresponding to each job candidate has a professional association relationship with the job candidate; A sending module is used to send predetermined survey question information to each of the survey subjects corresponding to each of the job candidates, so that each of the survey subjects corresponding to the job candidate performs a matching information reply operation on the survey question information and feeds back the information reply result corresponding to the job candidate to the career information survey platform; A generating module, for generating, for each job candidate, an information survey result of the job candidate according to the information reply results of all the survey subjects corresponding to the job candidate; The generating module is further used to generate the career profile information of each job candidate according to the information investigation result of the job candidate; wherein the career profile information of each job candidate includes the career integrity score information of the job candidate; The generation module is further used to generate a job search background information investigation database based on the professional profile information of all the job search candidates; wherein the job search background investigation database includes the professional profile information of all the job search candidates; The acquisition module is further used to acquire historical employment information of at least one candidate before acquiring object information of several job-seeking candidates, wherein the historical employment information includes one or more of the candidate's historical employment location information, historical employment position information, historical employment duration information, historical professional performance information, historical professional contribution information, historical professional fault information, historical labor dispute information, historical professional skill information, historical employment salary information, historical employment environment information, and historical employment colleague relationship information; The occupational information survey platform further includes: A calculation module, configured to calculate the relevance of each block included in the predetermined candidate occupation information blockchain for each candidate based on the historical employment information of all the candidates and the predetermined candidate occupation information blockchain, and obtain a relevance set for each candidate, wherein the relevance set includes the relevance of the candidate with each block; The determination module is further configured to determine, for each candidate, the highest correlation degree from the candidate's correlation degree set by the career information investigation platform, and determine the block corresponding to the highest correlation degree as the target block corresponding to the candidate; The generation module is further used to generate an incremental block corresponding to the candidate based on the candidate's historical employment information and the target block corresponding to the candidate; An updating module, used to update the candidate occupation information blockchain according to all the incremental blocks to obtain a target occupation information blockchain; The specific manner in which the determination module determines, for each job candidate, the survey object corresponding to the job candidate according to the object information of the job candidate includes: For each of the job candidates, the career information survey platform determines at least one survey subject corresponding to the job candidate in the target career information blockchain.

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