Method and device for reducing sea investment, electronic equipment and storage medium

Abstract

The invention discloses a method and device for reducing sea investment, electronic equipment and a storage medium. The method comprises the steps of determining weight scores and a total score of each piece of post description information and each piece of recruitment demand information in target recruitment information in a current page according to weight standards of different pieces of post description information and different pieces of recruitment demand information in predetermined recruitment information; obtaining a plurality of pieces of historical recruitment information similar to the target recruitment information, and obtaining a plurality of historical recruitment resumes successfully delivering the plurality of pieces of historical recruitment information; according to a weight standard, determining a weight score and a total score of each piece of resume information corresponding to the target recruitment information in the plurality of historical recruitment resumes; and according to a weight standard, determining a weight score and a total score of each piece of resume information corresponding to the target recruitment information in the current recruitment resume. According to the embodiment of the invention, the method can reduce the number of delivered resumes, and facilitates the precise delivery.

Description

Technical Field

[0001] The present application relates to the field of big data information processing technology, and in particular to a method, device, electronic device, computer-readable storage medium and computer program product for reducing sea investment. Background Art

[0002] In the Internet recruitment industry, recruitment websites collect a large amount of recruitment information. Job seekers can find recruitment information that meets their expected conditions through search and query, and apply for the corresponding positions by sending resumes. In practice, in order to improve the success rate of application, some job seekers may only do a simple screening of recruitment information (for example, only screening positions or only screening work locations, or directly submitting without screening). This behavior of blindly submitting a large number of resumes to different recruitment companies will not only cause job seekers to spend a lot of energy and time in the job search process, but also cause the recruiters who receive resumes to increase a lot of resume screening work meaninglessly, wasting precious manpower and time. Summary of the invention

[0003] In view of this, embodiments of the present application provide a method, device, electronic device, computer-readable storage medium and computer program product for reducing sea investment, which are used to solve at least one technical problem.

[0004] The embodiment of the present application provides a method for reducing overseas applications, including: determining the weight score and total score of each job description information and each recruitment demand information in the target recruitment information on the current page according to a predetermined weight standard for different job description information and different recruitment demand information in the recruitment information; obtaining multiple historical recruitment information similar to the target recruitment information, and obtaining multiple historical application resumes that have been successfully submitted to the multiple historical recruitment information; determining the weight score and total score of each resume information corresponding to the target recruitment information in the multiple historical application resumes according to the weight standard; determining the weight score and total score of each resume information corresponding to the target recruitment information in the current application resume according to the weight standard; determining the submission success rate of the target application resume to the target recruitment information according to the total scores of each of the multiple historical application resumes and the total score of the current application resume; and displaying the submission success rate near the target recruitment information so that job seekers can determine whether to submit resumes to the target recruitment information based on the submission success rate.

[0005] Optionally, according to some embodiments of the present application, when determining the weight standard, the method also includes: when determining the weight standard, for different job description information in the recruitment information, the weight of the job description information is determined according to the probability of change of the content corresponding to the single job description information, and the greater the probability of change of the content corresponding to the job description information, the smaller the weight; for different recruitment demand information in the recruitment information, the weight of the recruitment demand information is determined according to the probability of change of the single recruitment demand information in the job, and the greater the probability of change of the recruitment demand information in the job, the smaller the weight; the weight standard is constructed based on the determined weights of different job description information in the recruitment information and the weights of different recruitment demand information.

[0006] Optionally, according to some embodiments of the present application, obtaining multiple historical job application resumes that have been successfully delivered to the multiple historical recruitment information includes: determining keywords of job description information and recruitment requirement information in the target recruitment information; calculating the matching degree of multiple job application resumes with the keywords of the target recruitment information, and sorting the multiple job application resumes according to the matching degree; and determining the top N job application resumes as the multiple historical job application resumes.

[0007] Optionally, according to some embodiments of the present application, after determining the success rate of delivery of the target application resume to the target recruitment information based on the total scores of each of the multiple historical application resumes and the total score of the current application resume, the method further includes: determining the resume matching degree between the current application resume and the target recruitment information based on the ratio of the weighted total score of the current application resume and the weighted total score of the target recruitment information; binding the resume matching degree with the corresponding current application resume, and displaying the resume matching degree on the page.

[0008] Optionally, according to the method of the embodiment of the present application, the weight score and the total score of each resume information corresponding to the target recruitment information in the multiple historical job application resumes or the current job application resume are determined according to the weight standard, including: using semantic analysis technology and keyword matching technology to determine the correspondence between different information in the historical resume information or the current job application resume and different information in the target recruitment information; according to the correspondence and the weight of the different information in the target recruitment information, the weight score and the total score of each corresponding information in the historical job application resume or the current job application resume are determined.

[0009] Optionally, according to the method of the embodiment of the present application, the delivery success rate is the average value of the ratio of the target resume score to the historical resume scores of different historical application resumes.

[0010] The embodiment of the present application also provides a device for reducing the number of overseas applications, including: a first weight calculation module, used to determine the weight score and total score of each job description information and each recruitment requirement information in the target recruitment information on the current page according to the predetermined weight standard of different job description information and different recruitment requirement information in the recruitment information; an acquisition module, used to acquire multiple historical recruitment information similar to the target recruitment information, and acquire multiple historical application resumes that have been successfully submitted to the multiple historical recruitment information; a second weight calculation module, used to determine the weight score and total score of each job description information and each recruitment requirement information in the target recruitment information on the current page according to the predetermined weight standard of different job description information and different recruitment requirement information in the ... a third weight calculation module, for determining the weight scores and total scores of the various resume information corresponding to the target recruitment information in the current application resume according to the weight standard; a delivery success rate calculation module, for determining the delivery success rate of the target application resume to the target recruitment information according to the total scores of each of the multiple historical application resumes and the total score of the current application resume; a display module, for displaying the delivery success rate near the target recruitment information, so that job seekers can determine whether to submit their resumes to the target recruitment information based on the delivery success rate.

[0011] An embodiment of the present application provides an electronic device, which includes a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, the steps of the method described above are implemented.

[0012] An embodiment of the present application provides a computer-readable storage medium, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the steps of the method described above are implemented.

[0013] An embodiment of the present application provides a computer program product, wherein the computer program product includes computer program instructions, and when the computer program instructions are executed by a processor, the steps of the method described above are implemented.

[0014] By adopting the embodiments of the present application, by pre-constructing a reasonable weight standard, weights are set for different information in the target recruitment information, historical application resumes, and current application resumes, so as to realize the division of the importance level of different information in the recruitment information and application resumes. In this way, when calculating the delivery success rate, the importance of information is reflected by the weights corresponding to different information, so that the calculation of the delivery success rate is more accurate. In addition, by pushing the delivery success rate to the applicant, the embodiments of the present application can reduce the number of applicants who blindly submit resumes and improve their job search efficiency. Moreover, for recruiters, it can also reduce the reception of inappropriate resumes, reduce the screening workload, and improve work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solution of the embodiments of the present application, the following briefly introduces the drawings in the embodiments of the present application.

[0016] Figure 1 It is a schematic diagram of the system architecture of an embodiment of the present application.

[0017] Figure 2 It is a flowchart of the method for reducing sea investment in an embodiment of the present application.

[0018] Figure 3 This is a schematic diagram of a resume matching display page in an embodiment of the present application.

[0019] Figure 4 This is a schematic diagram of a display page for delivery success rate in an embodiment of the present application.

[0020] Figure 5 It is a schematic diagram of another method of displaying the delivery success rate in an embodiment of the present application.

[0021] Figure 6 This is another flow chart of calculating resume matching degree in an embodiment of the present application.

[0022] Figure 7 This is another flow chart for calculating the delivery success rate according to an embodiment of the present application.

[0023] Figure 8 It is a schematic diagram of the combined effect of various factors for improving the efficiency of HR and job seekers in an embodiment of the present application.

[0024] Fig. 9 It is a structural block diagram of a sea-dropping reduction device according to an embodiment of the present application.

[0025] Fig.10 It is a schematic diagram of the hardware structure of the electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] The principles and spirit of the present application will be described below with reference to several exemplary embodiments. It should be understood that the purpose of providing these embodiments is to make the principles and spirit of the present application clearer and more thorough, so that those skilled in the art can better understand and implement the principles and spirit of the present application. The exemplary embodiments provided herein are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments herein, all other embodiments obtained by ordinary technicians of the art without creative work are within the scope of protection of this application.

[0027] Embodiments of the present application relate to terminal devices and / or servers. Those skilled in the art will appreciate that the embodiments of the present application may be implemented as a system, apparatus, device, method, computer-readable storage medium, or computer program product. Therefore, the present disclosure may be specifically implemented in at least one of the following forms: complete hardware, complete software, or a combination of hardware and software. According to the embodiments of the present application, the present application requests protection for a method, apparatus, electronic device, computer-readable storage medium, and computer program product for reducing sea investment. Figure 1 Schematic diagram of a system architecture of an embodiment of the present application. Figure 1 As shown, the system includes a terminal device 102 and a server 104. Among them, the terminal device 102 may include at least one of the following: a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart TV, various wearable devices, an augmented reality AR device, a virtual reality VR device, etc. A client can be installed on the terminal device 102. For example, the client can be a client that specifically performs a specific function (such as an application app), or a client with multiple application applets (different functions) embedded in it, or a client logged in through a browser. The user can operate on the terminal device 102. For example, the user can open the client installed on the terminal device 102 and input instructions through the client operation, or the user can open the browser installed on the terminal device 102 and input instructions through the browser operation. After the terminal device 102 receives the instruction input by the user, the request information containing the instruction is sent to the server 104. After receiving the request information, the server 104 performs corresponding processing and then returns the processing result information to the terminal device 102. The user instruction is completed through a series of data processing and information interaction.

[0028] In this document, terms such as first, second, third, etc. are only used to distinguish one entity (or operation) from another entity (or operation), but not to require or imply any order or relationship between these entities (or operations).

[0029] Figure 2 : is a flowchart of a method for reducing sea investment in an embodiment of the present application, the method comprising the following steps:

[0030] S101: Determine the weight score and total score of each position description information and each recruitment requirement information in the target recruitment information on the current page according to the predetermined weight standard of different position description information and different recruitment requirement information in the recruitment information;

[0031] S102: Acquire multiple historical recruitment information similar to the target recruitment information, and acquire multiple historical application resumes successfully submitted to the multiple historical recruitment information;

[0032] S103: Determine the weight score and total score of each resume information corresponding to the target recruitment information in the multiple historical application resumes according to the weight standard;

[0033] S104, determining the weight score and total score of each resume information corresponding to the target recruitment information in the current application resume according to the weight standard;

[0034] S105: Determine a delivery success rate of the target resume to the target job posting based on an average value of the ratio of the target resume score to the historical resume scores of different historical job application resumes;

[0035] S106: Displaying the delivery success rate near the target recruitment information, so that the job seeker can determine whether to deliver a resume to the target recruitment information according to the delivery success rate.

[0036] In this field, recruitment websites publish a large number of recruitment information of companies with recruitment needs, which include job description information and recruitment demand information given by the companies. For example, a recruitment information includes the following content: Customer Service Manager Position in Insurance Industry, Work Location in City A, Job Salary 10K-14K; Bachelor Degree or above, at least 1 year of work experience, English Level 4, and fluent Mandarin are required. Among them, "Job Description Information" includes: Customer Service Manager Position in Insurance Industry, Work Location in City A, Job Salary 10K-14K; "Recruitment Demand Information" includes: Bachelor Degree or above, at least 1 year of work experience, English Level 4, and fluent Mandarin.

[0037] Regarding the content of "job description information" and "recruitment demand information", it can be understood that, on the one hand, the job description information given in the recruitment information for different jobs of the same enterprise is usually different, and similarly, the recruitment demand information is usually also different; on the other hand, the job description information given in the recruitment information for the same or similar jobs of different enterprises may be different, and similarly, the recruitment demand information may also be different.

[0038] In the embodiments of the present application, in order to more accurately utilize the different contents in the recruitment information, weight standards are set for different "job description information" and different "recruitment demand information". For example, the weights of different job description information and different recruitment demand information can be determined according to a unified preference or value. In a preferred embodiment, the weights of different job description information and different recruitment demand information in the recruitment information can be determined according to their priorities. Specifically,

[0039] 1) The priority of the job description information is related to whether the corresponding information in the resume can be adaptively adjusted and the degree of adjustment.

[0040] 2) The priority of different recruitment demand information is related to the job title in the job description information.

[0041] For example, for the job title in the job description information, due to the differences between various industries, a job application resume for a programmer who expects a job title will definitely not match a job title for a human resources manager; however, a job application resume for a job in Shanghai can have a chance to match the recruitment information and match the job position that requires a job location in Beijing if the job title is matched, because the applicant can adaptively adjust his or her desired job location according to the job location during the application process. Therefore, the weight of the job title is greater than the weight of the job location. Similarly, since the applicant can adaptively adjust the range of the salary in the job resume according to the job salary in the job description information, and since the adjustment of the salary is more flexible and the adjustment degree is larger, the weight of the salary can be less than the weight of the job location. That is, in some embodiments, optionally, in different job description information, the priority of the job title is greater than the priority of the job location, and the priority of the job location is greater than the priority of the salary, and thus the weight can be set from large to small.

[0042] For recruitment needs, for example, in foreign trade sales positions, recruiters believe that the skill of CET-6 is more important than the academic requirements. Therefore, when setting weights, the weight of CET-6 is greater than the academic requirements. For different positions, the weight of CET-6 in foreign trade sales is greater than the weight of CET-6 in front desk positions. In some embodiments of the present application, optionally, different job description information is prioritized as follows: Customer Service Manager Position in Insurance Industry > Work Location in Location A > Job Salary Monthly Salary 10K-14K. The priority ranking of different recruitment demand information is as follows: Bachelor degree or above > At least 1 year of work experience > English Level 4 ability = fluent in Mandarin.

[0043] According to the priority order, the weight scores of different information in the recruitment information are distributed as follows: insurance industry customer service manager position (weight 10 points), work location in city A (weight 5 points), job salary monthly salary 10K-14K (weight 4 points), bachelor degree or above required (weight 5 points), at least 1 year of work experience required (weight 5 points), English level 4 ability (weight 4 points), fluent in Mandarin (weight 4 points). The recruitment information score is the total score of the weights of each piece of information. In this embodiment, the total score of the recruitment information is: 10 points + 5 points + 4 points + 5 points + 5 points + 4 points + 4 points = 37 points.

[0044] Furthermore, in an embodiment of the present application, it is also necessary to obtain multiple historical recruitment information that is similar to the job description information and recruitment requirement information in the target recruitment information. In some embodiments of the present application, optionally, the semantic analysis technology of NPL can be used to determine multiple recruitment information similar to the target recruitment information, and sort them according to the similarity, and select the recruitment information ranked in the top few as multiple historical recruitment information. After determining the historical recruitment information, multiple historical application resumes that successfully submitted the historical application information can be determined based on the historical recruitment information, wherein each historical recruitment information corresponds to multiple historical application resumes that successfully submitted its position.

[0045] In some other embodiments of the present application, optionally, the content of the historical recruitment information is similar to that of the target recruitment information, and the conditions that need to be met for the similarity between the two are as follows: the keyword matching rate between the target recruitment information and the historical recruitment information is greater than a first preset value; and the similarity between the target recruitment information and the historical recruitment information after analysis using semantic analysis technology is greater than a second preset value. According to the above screening conditions, multiple recruitment information similar to the target recruitment information can be found in the database, and then multiple resumes successfully submitted to these recruitment information can be obtained. When calculating the success rate of job seekers' submission, there can be more data to support the results, thereby improving the accuracy and referenceability of the submission rate result. Among them, the first preset value and the second preset value can be set according to demand, such as 60%, 90%, etc., and this application does not limit this.

[0046] For the weights of different information in historical recruitment information and historical job resumes, the corresponding information in them can be weighted according to the weight standard, so that the priority of the corresponding information in the historical recruitment information and historical job resumes is the same as the priority of each information in the target recruitment information. For example, the priority order of job description information in historical recruitment information is also job title>work location>salary. For job requirement information, the priority order is also: education>work experience>English proficiency. The weight distribution method in historical job resumes is the same as that in historical recruitment information, and will not be repeated here.

[0047] In addition, since one historical recruitment information may correspond to multiple successfully submitted historical job application resumes, in some embodiments of the present application, optionally, the weighted total score of each historical job application resume may be determined based on the weight of each corresponding information of the determined historical job application resume, and the resumes may be sorted based on the total score, and a preset number of job application resumes ranked in the front may be selected as the historical job application resumes. In some embodiments of the present application, optionally, the top 100 job application resumes may be selected as the historical job application resumes.

[0048] In some embodiments of the present application, optionally, the current application resume is the resume uploaded by the job seeker in front of the screen. The weight of the corresponding information in the current application resume can be weighted according to the priority and weight of the corresponding information in the target recruitment information. It should be noted that when allocating weights with reference to the information in the target recruitment information and the corresponding weights, only the weight scores of the information that meets the requirements can be scored and the weights are the same, and the weights of the information that does not meet the requirements will not be scored. Alternatively, a higher score can be given according to the degree of compliance. For example: the target recruitment information and the corresponding weights are as follows:

[0049] Insurance industry customer service manager position (weight 10 points): work location is location A (weight 5 points), monthly salary is 10K-14K (weight 4 points), bachelor degree or above is required (weight 5 points), at least 1 year of work experience is required (weight 5 points), English level 4 ability (weight 4 points), fluent in Mandarin (weight 4 points), total weighted score: 37 points;

[0050] The historical application resume and the corresponding weights are as follows: expected position customer service manager (weight 10 points), expected work location in location A (weight 4 points), expected salary 12K (weight 4 points), bachelor's degree (weight 5 points), 3 years of work experience (weight 5 points), English level 4 (weight 4 points), total weighted score: 32 points;

[0051] The second historical application resume and the corresponding weights are as follows: expected position customer service manager (weight 10 points), expected work location in location A (weight 4 points), expected salary 14K (weight 4 points), master's degree (weight 5 points), 2 years of work experience (weight 5 points), English level 6 (weight 4 points), total weighted score: 32 points;

[0052] The job applicants' resumes and corresponding weights are as follows: expected position: Customer Service Manager (weight 10 points), expected work location: Location B (weight 0 points), expected salary: 13K (weight 4 points), bachelor's degree (weight 5 points), 1 year of work experience (weight 5 points), English level 6 (weight 4 points), total weighted score: 28 points.

[0053] In addition, it should be noted that the resumes in the above examples only retain key information, such as personal information, educational background, work experience, skills, job search intentions, project experience, etc., and these key information can be obtained through keyword extraction.

[0054] Based on the weights determined by the historical application resumes and job application resumes, the weighted total scores of the historical application resumes and the weighted total score of the current application resume are calculated respectively. Then, by calculating the ratio of the weighted total score of the current application resume to the weighted total scores of each historical application resume and calculating the average of the ratios or other indicators that can represent the distribution of multiple ratios, for example, the median, the median plus or minus the square root of the variance, etc., the delivery success rate of the current resume to the target recruitment information can be obtained.

[0055] Taking the above job seeker resume and successfully delivered resume as an example, the delivery success rate can be calculated as follows:

[0056] The total weighted score of the job seeker's resume is: 28 points;

[0057] The total score of the history application resume 1 is: 32 points;

[0058] The total score of the History Application Resume II is: 32 points;

[0059] 28 / 32+28 / 32=1.75, delivery success rate=1.75 / 2=87.5%.

[0060] Finally, the calculated delivery success rate is bound to the target job information, and the delivery success rate is displayed at a preset position on the target page, and the delivery success rate is pushed to the user in a manner of being displayed on the target page. The target page can be a page displaying job details or a page displaying multiple jobs.

[0061] By adopting the embodiments of the present application, it is possible to determine the degree of match between the job seeker's application resume and the recruitment requirements in the recruitment information based on the scores of successfully submitted historical application resumes and various information in the recruitment information. In this way, when a job seeker wants to submit a resume on a recruitment website, he only needs to upload the resume and he can see the success rate of his application for the position on the recruitment information display page, so that he can submit the resume accurately according to the success rate, reduce the number of resumes submitted, and improve job search efficiency.

[0062] In some embodiments of the present application, optionally, when determining the weight standard, the method further includes the following steps:

[0063] S201, for different job description information in the recruitment information, determine the weight of the job description information according to the probability of change of the content corresponding to the single job description information, the greater the probability of change of the content corresponding to the job description information, the smaller the weight;

[0064] S202, for different recruitment demand information in the recruitment information, determine the weight of the recruitment demand information according to the probability of change of the single recruitment demand information in the position, the greater the probability of change of the recruitment demand information in the position, the smaller the weight;

[0065] S203, constructing a weight standard based on the weights of different job description information and different recruitment demand information in the determined recruitment information.

[0066] Among them, in some embodiments of the present application, optionally, the content corresponding to a single job description information refers to the information in the job application resume corresponding to the job description information. For example, the job description information "the work location is in city A" corresponds to the "expected work location is in city B" in the job application resume, and the job description information "salary 10K-13K" corresponds to the "expected salary is 13K" in the job application resume. And "changeable probability" refers to the probability that the applicant adjusts the expectation in his or her job application resume when facing different recruitment conditions. For example, for the job description information "the work location is in city A", the applicant's resume is "the expected work location is in city B". When faced with such recruitment information, the applicant will have a certain probability of adjusting the expected work location, so as to better match the requirements of the corresponding work location in the recruitment information. Similarly, for salary, when the applicant sees that his or her expected salary exceeds the salary in the recruitment information, he or she will most likely choose to lower the expected salary in his or her resume so as to match the requirements in the recruitment information. Therefore, we can know that the probability of adjusting the expected salary is greater than the probability of adjusting the expected work location. Therefore, the corresponding probability of change is that the expected work location is greater than the expected salary. In this way, it can be determined that the weight of the job description information about the work location in the recruitment information is greater than the job description information about the salary, that is, the greater the probability of change of the corresponding content, the smaller the weight.

[0067] As for the recruitment demand information, the probability of change of a single recruitment demand information in the position refers to the tolerance of the recruiter to the corresponding ability of the applicant during the recruitment process. For example, the recruitment requirements in the recruitment information are: the education requirement is a master's degree or above, English proficiency level 6, and the recruitment position is foreign trade sales. During the recruitment process, it is found that the applicant's English proficiency is level 8, and he has an English major certificate, but his education is only a bachelor's degree. At this time, the recruiter is likely to adjust the recruitment demand information and reduce the demand information to a bachelor's degree or above, while the English proficiency still requires level 6. In this way, the probability of change of the recruitment demand information about the education requirement is greater than the probability of change of the recruitment demand information about English proficiency. Therefore, when setting the weight, the weight of the recruitment demand information about the education requirement is greater than the weight of the recruitment demand information about English proficiency, that is, the greater the probability of change of the recruitment demand information in the position, the smaller the weight.

[0068] In some embodiments of the present application, optionally, obtaining multiple historical application resumes that have been successfully submitted to multiple historical recruitment information includes:

[0069] Identify keywords in the job description and recruitment requirements information in the target recruitment information;

[0070] Calculate the matching degree between multiple job application resumes and keywords of target job information, and sort the multiple job application resumes according to the matching degree;

[0071] The first N job application resumes are determined as a plurality of historical job application resumes.

[0072] In an embodiment of the present application, the historical application resume can be determined by the matching degree of the keywords of the application resume and the target recruitment information. Among them, the application resume that successfully submitted the historical recruitment information when applying for the application resume. In order to reduce the amount of calculation, multiple historical application resumes can be screened out according to the matching degree of keywords. In addition, before determining the keywords, the key information in the recruitment information or the application information, such as personal information, educational background, work experience, skills, job search intention, project experience, etc., can be standardized to obtain a unified field, and then the keywords are determined from the information after these unified fields. For example, the keywords determined in the recruitment information can be: work location Shanghai, undergraduate degree, English level 6, etc., and then the matching degree can be determined by keyword matching based on the confirmed keywords and the application resume. By matching the application resume with the target recruitment information, the accuracy of the historical application resume as a calculation template for the success rate of the current application resume delivery can be improved, thereby improving the accuracy of the success rate of the current application resume delivery.

[0073] In some embodiments of the present application, optionally, after determining the delivery success rate of the target application resume to the target recruitment information according to the total scores of each of the multiple historical application resumes and the total score of the current application resume, the method for reducing the number of overseas applications proposed in the present application further includes the following steps:

[0074] Determine the match between the current application resume and the target recruitment information based on the ratio of the total weighted score of the current application resume to the total weighted score of the target recruitment information;

[0075] Bind the resume matching degree with the corresponding current application resume, and display the resume matching degree on the page.

[0076] According to an embodiment of the present application, the resume matching degree between the current job application resume and the target recruitment information can also be output, so that the recruiter can determine whether to continue viewing the job application resume based on the resume matching degree. If the resume matching degree is high, the recruiter can open the job application resume and carefully check whether the job application resume meets the recruitment requirements; if the resume matching degree is low, the recruiter can choose not to read the resume. In this way, when faced with a large number of job application resumes, the recruiter can quickly screen out job application resumes that meet the recruitment information based on the resume matching degree, thereby reducing workload and improving work efficiency.

[0077] For ease of understanding, the resume matching calculation example is as follows:

[0078] Target recruitment information:

[0079] Insurance industry customer service manager position (position weight 40 points): work location in Shanghai Pudong New Area (weight 20 points), monthly salary 10K-14K (weight 5 points), bachelor degree or above required (weight 5 points), at least 1 year of work experience required (weight 5 points), English level 4 ability (weight 4 points), fluent in Mandarin (weight 4 points). (Full score: 83 points)

[0080] Job seeker's resume (current application resume): expected position customer service manager (40 points), expected work location Shanghai (20 points), expected salary 12K (5 points), bachelor's degree (5 points), 3 years of work experience (5 points), English level 4 (4 points), (Mandarin is not filled in, 2 points are defaulted), the total score is 81 points, and the resume matching degree is 81 / 83 = 97.6%

[0081] Applicant's second resume (current application resume): expected position: Customer Service Manager (40 points), expected work location: Shanghai (20 points), expected salary: 16K (1 point), Master's degree (5 points), 5 years of work experience (5 points), English level 6 (4 points), (if Mandarin is not filled in, 2 points are given by default), total score: 77 points, resume matching degree: 77 / 83 = 92.8%

[0082] Job seeker's third resume (current application resume): expected position customer service specialist (20 points), expected work location Suzhou (5 points), expected salary 9K (2 points), high school education (2 points), 1 year of work experience (5 points), English level 4 (4 points), (Mandarin is not filled in, 2 points are given by default), the total score is 40 points, and the resume matching degree is 40 / 83 = 48.2%

[0083] Figure 3 is a schematic diagram of a resume matching display page in an embodiment of the present application. Figure 3As shown, for multiple application information submitted for the same recruitment position, their corresponding resume matching degrees are displayed on the same page at the same time (in actual use, the resume matching degrees are different). By comparison, the highest or top-ranked resumes can be quickly found, making it convenient for staff to screen resumes.

[0084] In some embodiments of the present application, optionally, the delivery success rate is displayed at the location of the job application button, the job application button is located on the page displaying the details of the target recruitment information, wherein the resume is delivered to the target recruitment information by triggering the job application button, and / or the delivery success rate is displayed near the job title of the target recruitment information in the job search result display page.

[0085] Figure 4 Schematic diagram of a display page of a delivery success rate in an embodiment of the present application. Figure 4 As shown, the target page is a job search result display page, the job in the target recruitment information is located on the display page, and the preset position is near the position of the job title in the target recruitment information. The success rate 401 in the figure is the delivery success rate.

[0086] Figure 5 FIG. 1 is a schematic diagram of another method for displaying the delivery success rate of an embodiment of the present application. Figure 5 As shown, the target page is a page showing the target job information position details, and the preset position is the position where the job application key 501 is located. By triggering the job application key 501, a resume is submitted to the target job information.

[0087] In some embodiments of the present application, optionally, determining the weight score and total score of each resume information corresponding to the target recruitment information in the multiple historical job application resumes or the current job application resume according to the weight standard includes:

[0088] Use semantic analysis technology and keyword matching technology to determine the correspondence between different information in historical resume information or current application resume and different information in target recruitment information;

[0089] According to the corresponding relationship and the weight of different information in the target recruitment information, the weight score and the total score of each corresponding information in the historical application resume or the current application resume are determined.

[0090] In an embodiment of the present application, optionally, the correspondence between different information in the historical resume information or the current job application resume and different information in the target recruitment information can be determined based on semantic analysis technology and keyword matching technology, wherein the semantic analysis technology can be NPL semantic analysis, and the use of NPL semantic analysis technology can enable the computer to understand, interpret and generate human natural language, thereby realizing the understanding of the recruitment information and each piece of information in the historical resume information or the current job application resume, and then combined with the keyword matching technology to determine the correspondence between each piece of information in the resume information and each piece of information in the recruitment information, so that the weight score of the corresponding information in the resume information can be determined according to the weight score in the recruitment information. For example, referring to the target recruitment information and the successfully delivered resume in the previous example, the semantic analysis technology is used to determine that "the work place is at location A" and "the expected work place is at location A" are both information describing the work place, and then according to the keyword matching, both have the keyword "work place", so the two pieces of information correspond, and the priority and weight ratio are the same in their respective information.

[0091] The above describes the implementation methods and advantages of the embodiments of the present application through multiple embodiments. The following describes the specific processing process of the embodiments of the present application in detail with reference to specific examples.

[0092] In some embodiments of the present application, the calculation of the delivery success rate and the resume matching degree specifically includes the following steps:

[0093] Step 1: Job Profile Construction

[0094] You need to have an in-depth understanding of the specific requirements of the position, including work location, salary, job responsibilities, skill requirements, work experience, educational background, etc. Through job analysis, you can build a detailed job profile and identify the core competencies and key skills required.

[0095] Step 2: Resume analysis and digitization

[0096] Extract key information from resumes, such as personal information, education background, work experience, skills, job search intentions, project experience, etc. These are unified fields on our website, which is very convenient for comparison.

[0097] Step 3: Matching algorithm design

[0098] Step 1: Keyword matching:

[0099] Based on the keywords in the job profile, keyword matching is performed with the content in the resume to preliminarily obtain the resume matching degree.

[0100] Step 2: Semantic Analysis

[0101] Using NLP semantic analysis technology, we can deeply understand the text meaning in resumes and job descriptions, and evaluate the fit between applicants' skills, experience and job requirements.

[0102] Step 3: Weight Assignment

[0103] According to the priority of job requirements, different weights are set for different skills and experiences to more accurately evaluate the match between resumes and positions.

[0104] Step 4: HR feedback

[0105] Whether the job seekers who have applied for the positions in the past have obtained interview opportunities and passed the interviews is determined, thereby determining the historical application resumes and the resumes of successful applicants.

[0106] Step 5: Comprehensive Rating

[0107] Based on the results of keyword matching, semantic analysis and weight allocation, and historical HR feedback, a comprehensive score is calculated for the resume, reflecting its degree of match with the position, the success rate of delivery, and the company's ranking, evaluation, competitiveness and other data in the industry.

[0108] Step 4: Optimization and iteration

[0109] 1. Machine learning model training: Use historical recruitment data and HR feedback to train machine learning models and continuously optimize the accuracy and efficiency of matching algorithms.

[0110] 2. Real-time updates: Regularly update job profiles and resume analysis systems to adapt to market changes and changes in recruitment needs.

[0111] Figure 6 FIG. 1 is another flow chart of calculating resume matching degree in an embodiment of the present application. Figure 6 As shown, the NLP technology can be used to determine the matching degree between the information of the position released by HR (work location, salary, job responsibilities, skill requirements, work experience, educational background, etc.) and the information of the resume submitted by the job seeker (personal information, educational background, work experience, skills, job search intention, project experience, etc.), and the matching degree is determined based on the similarity between the two calculated using the NLP technology. In some embodiments of the present application, the matching degree is equal to the similarity.

[0112] Figure 7 FIG. 1 is another flow chart for calculating the delivery success rate in an embodiment of the present application. Figure 7As shown, based on the information of the positions released by HR (position title, work location, salary, job responsibilities, skill requirements, work experience, educational background, etc.), positions with similar history are determined, and then the NLP technology is used to determine the similarity between the information in the resumes of successful positions with similar application history and successful interviews (personal information, educational background, work experience, skills, job search intentions, project experience, etc.) and the information in the resumes submitted by job seekers (personal information, educational background, work experience, skills, job search intentions, project experience, etc.). The success rate of the job seeker's resume delivery can be determined, and the success rate of delivery is directly proportional to the similarity.

[0113] Figure 8 FIG. 1 is a schematic diagram of the combined effects of various factors in improving the efficiency of HR and job seekers in an embodiment of the present application. Figure 8 As shown, resume matching can mainly improve HR efficiency, and the success rate of submission can mainly improve the efficiency of job seekers. In addition, the salary distribution chart of similar positions can facilitate job seekers to select positions that meet their salary requirements, further improving the efficiency of job seekers. Furthermore, company details page comments can be obtained by adding a comment function to the company details page. The comment roles are divided into job seekers, current employees, and former employees, and anonymous comments are supported. It can help to have a deeper understanding of the company and improve the efficiency of job seekers.

[0114] Corresponding to the method embodiment of the present application, the present application also provides a device for reducing sea throwing, such as Fig. 9 As shown, the sea-dropping device 100 comprises:

[0115] The first weight calculation module 110 is used to determine the weight score and total score of each job description information and each recruitment requirement information in the target recruitment information on the current page according to the predetermined weight standard of different job description information and different recruitment requirement information in the recruitment information;

[0116] The acquisition module 120 is used to acquire multiple historical recruitment information similar to the target recruitment information, and acquire multiple historical application resumes successfully submitted to the multiple historical recruitment information;

[0117] A second weight calculation module 130 is used to determine the weight score and total score of each resume information corresponding to the target recruitment information in the multiple historical application resumes according to the weight standard;

[0118] The third weight calculation module 140 is used to determine the weight score and total score of each resume information corresponding to the target recruitment information in the current application resume according to the weight standard;

[0119] A delivery success rate calculation module 150 is used to determine the delivery success rate of the target application resume to the target recruitment information according to the total score of each of the multiple historical application resumes and the total score of the current application resume;

[0120] The display module 150 is used to display the delivery success rate near the target recruitment information, so that the job seeker can determine whether to deliver a resume to the target recruitment information according to the delivery success rate.

[0121] The electronic device in the embodiment of the present application may be a user terminal device, a server, other computing devices, or a cloud server. Fig.10 It is a schematic diagram of the hardware structure of an electronic device of an embodiment of the present application. The electronic device may include a processor 601 and a memory 602 storing computer program instructions. When the processor 601 executes the computer program instructions, it implements the process or function of any of the above-mentioned embodiments.

[0122] Specifically, the processor 601 may include a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application. The memory 602 may include a large-capacity memory for data or instructions. For example, the memory 602 may be at least one of the following: a hard disk drive (HDD), a read-only memory (ROM), a random access memory (RAM), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a tape, a universal serial bus (USB) drive or other physical / tangible memory storage device. For another example, the memory 602 may include a removable or non-removable (or fixed) medium. For another example, the memory 602 may be inside or outside the integrated gateway disaster recovery device. The memory 602 may be a non-volatile solid-state memory. In other words, the memory 602 usually includes a tangible (non-transitory) computer-readable storage medium (such as a memory device) encoded with computer-executable instructions, and when the software is executed (such as executed by one or more processors), the operation described in the method of the embodiment of the present application can be performed. The processor 601 implements the process or function of any method in the above embodiments by reading and executing the computer program instructions stored in the memory 602.

[0123] In one example, Fig.10The electronic device shown may also include a communication interface 603 and a bus 610. Among them, the processor 601, the memory 602, and the communication interface 603 are connected through the bus 610 and complete the communication between each other. The communication interface 603 is mainly used to realize the communication between each module, device, unit and / or device in the embodiment of the present application. The bus 610 includes hardware, software or both, and can couple the components of the online data traffic billing device to each other. For example, the bus may include at least one of the following: an accelerated graphics port (AGP) or other graphics bus, an enhanced industrial standard architecture (EISA) bus, a front-end bus (FSB), a hypertransport (HT) interconnect, an industrial standard architecture (ISA) bus, an infinite bandwidth interconnect, a low pin count (LPC) bus, a memory bus, a micro channel architecture (MCA) bus, a peripheral component interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a serial advanced technology attachment (SATA) bus, a video electronics standard association local (VLB) bus or other suitable buses. The bus 610 may include one or more buses. Although the embodiments of the present application describe or illustrate a specific bus, the embodiments of the present application may consider any suitable bus or interconnection method.

[0124] In combination with the method in the above embodiments, an embodiment of the present application also provides a computer-readable storage medium, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the process or function of any method in the above embodiments is implemented.

[0125] In addition, an embodiment of the present application further provides a computer program product, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the process or function of any one of the methods in the above embodiments is implemented.

[0126] The above exemplarily describes the flowcharts and / or block diagrams of the methods, devices, systems and computer program products of the embodiments of the present application, and describes the relevant various aspects. It should be understood that each box or combination thereof in the flowchart and / or block diagram can be implemented by computer program instructions, or by dedicated hardware that performs a specified function or action, or by a combination of dedicated hardware and computer instructions. For example, these computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to form a machine that enables these instructions executed by such a processor to enable the implementation of the functions / actions specified in each box or combination thereof in the flowchart and / or block diagram. Such a processor can be a general-purpose processor, a special-purpose processor, a special application processor or a field programmable logic circuit.

[0127] The functional blocks shown in the structured block diagram of the embodiment of the present application can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application-specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc.; when implemented in software, it is a program or code segment used to perform the required task. The program or code segment can be stored in a memory, or transmitted on a transmission medium or a communication link via a data signal carried in a carrier. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

[0128] It should be noted that the present application is not limited to the specific configurations and processes described above or shown in the figures. The above is only a specific implementation mode of the present application. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working process of the described system, device, module or unit can refer to the corresponding process in the method embodiment without further description. It should be understood that the scope of protection of the present application is not limited to this. Any technician familiar with the technical field can think of various equivalent modifications or substitutions within the technical scope disclosed in the present application, and these modifications or substitutions should be included in the scope of protection of the present application.

Claims

1. A method for reducing the number of applications to multiple resumes, characterized in that: include: According to the predetermined weight standards of different job description information and different recruitment requirement information in the recruitment information, the weight score and total score of each job description information and each recruitment requirement information in the target recruitment information on the current page are determined; Acquire multiple historical recruitment information similar to the target recruitment information, and acquire multiple historical application resumes successfully submitted to the multiple historical recruitment information; Determine the weight score and total score of each resume information corresponding to the target recruitment information in the multiple historical application resumes according to the weight standard; According to the weight standard, determine the weight score and total score of each resume information corresponding to the target recruitment information in the current application resume; Determining a success rate of delivery of the target application resume to the target recruitment information according to the total scores of the multiple historical application resumes and the total score of the current application resume; The delivery success rate is displayed near the target recruitment information, so that job seekers can determine whether to deliver resumes to the target recruitment information based on the delivery success rate.

2. The method according to claim 1, characterized in that When determining the weight standard, the method further includes: For different job description information in the recruitment information, the weight of the job description information is determined according to the probability of change of the content corresponding to the single job description information, wherein the greater the probability of change of the content corresponding to the job description information, the smaller the weight; For different recruitment demand information in the recruitment information, the weight of the recruitment demand information is determined according to the probability of change of the single recruitment demand information in the position, wherein the greater the probability of change of the recruitment demand information in the position, the smaller the weight; The weight standard is constructed based on the determined job description information weight and recruitment demand information weight.

3. The method according to claim 1, characterized in that The step of obtaining multiple historical application resumes that have been successfully submitted to the multiple historical recruitment information includes: Determine keywords of the job description information and recruitment requirement information in the target recruitment information; Calculating the matching degree between the keywords of the multiple job application resumes and the target job information, and sorting the multiple job application resumes according to the matching degree; The first N job application resumes are determined as the multiple historical job application resumes.

4. The method according to claim 1, characterized in that: After determining the delivery success rate of the target job application resume to the target recruitment information according to the total scores of the multiple historical job application resumes and the total score of the current job application resume, the method further includes: Determine the match between the current application resume and the target job information based on the ratio of the total weighted score of the current application resume to the total weighted score of the target job information; The resume matching degree is bound to the corresponding current application resume, and the resume matching degree is displayed on the page.

5. The method according to claim 1, characterized in that Determining the weighted scores and the total scores of each resume information corresponding to the target job information in the multiple historical job application resumes or the current job application resumes according to the weighted standard includes: Use semantic analysis technology and keyword matching technology to determine the correspondence between different information in historical resumes or current application resumes and different information in target recruitment information; According to the corresponding relationship and the weights of different information in the target recruitment information, the weight scores and the total score of each corresponding information in the historical application resume or the current application resume are determined.

6. The method according to claim 1, characterized in that The delivery success rate is the average value of the ratio of the target resume score to the historical resume scores of different historical application resumes.

7. A device for reducing sea throwing, characterized in that: include: The first weight calculation module is used to determine the weight score and total score of each job description information and each recruitment requirement information in the target recruitment information on the current page according to the predetermined weight standard of different job description information and different recruitment requirement information in the recruitment information; An acquisition module, used to acquire multiple historical recruitment information similar to the target recruitment information, and acquire multiple historical application resumes successfully submitted to the multiple historical recruitment information; A second weight calculation module is used to determine the weight score and total score of each resume information corresponding to the target recruitment information in the multiple historical application resumes according to the weight standard; A third weight calculation module is used to determine the weight score and total score of each resume information corresponding to the target recruitment information in the current application resume according to the weight standard; A delivery success rate calculation module, used to determine the delivery success rate of the target application resume to the target recruitment information according to the total score of each of the multiple historical application resumes and the total score of the current application resume; The display module is used to display the delivery success rate near the target recruitment information, so that job seekers can determine whether to deliver resumes to the target recruitment information according to the delivery success rate.

8. An electronic device, characterized in that: The electronic device comprises: a processor and a memory storing computer program instructions; when the electronic device executes the computer program instructions, the method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer program instructions, and when the computer program instructions are executed by a processor, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that It comprises computer program instructions, which, when executed by a processor, implement the method according to any one of claims 1 to 6.

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