User career selection information processing method, device, electronic device and readable storage medium

Abstract

The present application relates to the field of data analysis, and in particular to a method, device, electronic device and readable storage medium for processing user job selection information, the method comprising: obtaining user resume information; determining at least one user key experience feature based on the resume information; obtaining user comprehensive ability information based on the correspondence between a preset single ability information and a key experience feature group and at least one user key experience feature; obtaining the job matching degree corresponding to each of multiple positions based on the correspondence between preset positions and comprehensive ability information and the user comprehensive ability information; determining at least one user-adapted position among multiple positions based on the job matching degrees corresponding to each of the multiple positions; and generating a job selection result feedback instruction based on the matching degree between at least one user-adapted position and each corresponding position. The present application has the effect of improving the accuracy of the results of the automated job selection method.

Description

Technical Field

[0001] The present application relates to the technical field of data analysis, and in particular to a method, device, electronic device and readable storage medium for processing user career selection information. Background Art

[0002] At present, the education consulting industry has opened up a market to help students or people in society choose jobs. Regarding the automated job selection method, the user's personal personality is usually analyzed first to determine the user's personal personality type, and finally the user is recommended a job that is suitable for the user's personal personality type.

[0003] However, factors that determine whether a user is qualified for any position include but are not limited to personal character. The probability that a user is not qualified for a position recommended to the user based on personal character may be relatively high, that is, the accuracy of the process of recommending positions to users based on personal character is low. Therefore, the above-mentioned automated job selection method of recommending positions to users based on personal character has the problem of insufficient accuracy.

[0004] Therefore, the above technical problems are problems that need to be solved urgently by those skilled in the art. Summary of the invention

[0005] In order to achieve highly accurate automated job selection, the present application provides a method, device, electronic device and readable storage medium for processing user job selection information.

[0006] In the first aspect, the present application provides a method for processing user job selection information, which adopts the following technical solution:

[0007] A method for processing user job selection information, comprising:

[0008] Get the user's resume information;

[0009] Determining at least one key experience feature of the user based on the resume information;

[0010] Obtaining user comprehensive capability information according to the preset correspondence between the single capability information and the key experience feature group and the at least one user key experience feature;

[0011] Obtaining the job matching degree between the user and each of the multiple jobs according to the comprehensive ability information corresponding to the multiple jobs and the comprehensive ability information of the user;

[0012] Based on the matching degree between the user and the respective corresponding positions of the multiple positions, at least one user-suitable position is determined among the multiple positions; and according to the matching degree between the at least one user-suitable position and the corresponding position, a job selection result feedback instruction is generated, wherein the job selection result feedback instruction is used to recommend the at least one user-suitable position to the user.

[0013] In a preferred example, the present application can be further configured as follows:

[0014] The user comprehensive capability information includes at least one user single capability information,

[0015] After determining at least one user-adapted position from the multiple positions based on the position matching degrees corresponding to the multiple positions, the method further includes:

[0016] Obtain the comprehensive capability information corresponding to each user's suitable position;

[0017] For each user adaptation position, determining at least one user short board capability information corresponding to the user adaptation position according to the comprehensive capability information corresponding to the user adaptation position and the at least one user single capability information;

[0018] Based on all of the user's weak point ability information, user weak point improvement suggestions are generated, wherein the user weak point improvement suggestions are used to prompt the user to improve the ability corresponding to each of the user weak point ability information.

[0019] In a preferred example, the present application can be further configured as follows:

[0020] Generating suggestions for improving user shortcomings based on all the user shortcomings information includes:

[0021] Determine at least one target short board capability information according to all the user short board capability information of the user, wherein the target short board capability information is the user short board capability information corresponding to at least two of the user adaptation positions at the same time;

[0022] For each target short board capability information, obtain the number of user adaptation positions corresponding to the target short board capability information;

[0023] According to the at least one target short board capability information and the number of user adaptation positions corresponding to each of them, a suggestion for improving the user's short board is generated.

[0024] In a preferred example, the present application can be further configured as follows:

[0025] The user comprehensive capability information includes at least one user single capability information,

[0026] After obtaining the user comprehensive capability information according to the preset correspondence between the single capability information and the key experience feature group and the at least one user key experience feature, the method further includes:

[0027] For each user single capability information in each user comprehensive capability information, determining whether the at least one user key experience feature includes all key experience features in the key experience feature group corresponding to the user single capability information;

[0028] If not, the user's single capability information is determined as the target user's single capability information.

[0029] In a preferred example, the present application can be further configured as follows:

[0030] After determining at least one suitable position for the user among the multiple positions based on the position matching degrees corresponding to the user and the multiple positions, the method further includes:

[0031] Obtain the comprehensive capability information corresponding to each user's suitable position;

[0032] For each user adaptation position, determining at least one user capability information corresponding to the user adaptation position according to the comprehensive capability information corresponding to the user adaptation position and the at least one user single capability information;

[0033] For each user's capability information, determine whether the user's capability information is the same as any single capability information of the target user; if so, determine at least one key experience feature to be supplemented corresponding to each user's capability information according to the key experience feature group corresponding to each of the user's capability information and the at least one user's key experience feature, wherein the key experience feature to be supplemented is any key experience feature of the key experience feature group corresponding to each of the at least one user's capability information that is not the same as any user's key experience feature;

[0034] Generate user resume supplement suggestions based on all the key experience features to be supplemented, wherein the user resume supplement suggestions are used to prompt the user to supplement the content corresponding to all the key experience features to be supplemented in the resume information.

[0035] In a preferred example, the present application can be further configured as follows:

[0036] The obtaining of user comprehensive capability information according to the correspondence between the preset single capability information and the key experience feature group and the at least one user key experience feature includes:

[0037] According to the at least one user key experience feature, obtaining at least one user group, wherein the user group includes any of the user key experience features;

[0038] For each single capability information, judging whether the single capability information can be determined as the user's single capability information according to the key feature key experience feature group corresponding to the single capability information and the at least one user key experience feature group; if so, determining the single capability information as the user's single capability information;

[0039] The user comprehensive capability information is obtained based on the single capability information of all users.

[0040] In a preferred example, the present application can be further configured as follows:

[0041] Before determining at least one user-adapted position from a plurality of positions based on the position matching degrees corresponding to the plurality of positions, the method further includes:

[0042] Get multiple user intended positions;

[0043] Determine the weights corresponding to the plurality of positions, wherein the plurality of positions include a plurality of user intended positions and remaining positions, and the weight corresponding to at least one user intended position is greater than the weight corresponding to any remaining position;

[0044] Accordingly, determining at least one user-matching position from among the multiple positions based on the position matching degrees corresponding to the multiple positions respectively includes:

[0045] Based on the weights corresponding to the plurality of positions, the position matching degrees are updated, and new position matching degrees corresponding to the plurality of position matching degrees are obtained;

[0046] At least one user-matching position is determined from the multiple positions based on the new position matching degrees corresponding to the multiple position matching degrees.

[0047] In a second aspect, the present application provides a user job selection information processing device, which adopts the following technical solution:

[0048] A user job selection information processing device, comprising:

[0049] Resume acquisition module, used to obtain user's resume information;

[0050] A key experience feature determination module, used to determine at least one key experience feature of the user based on the resume information;

[0051] A user comprehensive capability information determination module, configured to obtain the user comprehensive capability information according to a preset correspondence between a single capability information and a key experience feature group and the at least one user key experience feature;

[0052] A job matching degree determination module, used to obtain the job matching degree corresponding to each of the multiple jobs according to the comprehensive ability information corresponding to the multiple jobs and the comprehensive ability information of the user;

[0053] The job selection result generation module is used to determine at least one user-suitable position among the multiple positions based on the matching degree between the user and the positions corresponding to the multiple positions; and generate a job selection result feedback instruction according to the matching degree between the at least one user-suitable position and the corresponding position, wherein the job selection result feedback instruction is used to recommend the at least one user-suitable position to the user.

[0054] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0055] at least one processor;

[0056] Memory;

[0057] At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the user career selection information processing method as described in any one of the first aspects.

[0058] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0059] A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute the user career selection information processing method as described in any one of the first aspects.

[0060] In summary, the present application includes at least one of the following beneficial technical effects:

[0061] 1. After obtaining the resume information of the user, at least one key experience feature of the user is determined according to the resume information to extract key information from the user's personal experience and improve the breadth of the key experience features; according to the correspondence between the preset single ability information and the key experience feature group and at least one key experience feature of the user, the user's comprehensive ability information is obtained to summarize the user's comprehensive ability from the key information in the user's personal experience; according to the correspondence between the preset positions and the comprehensive ability information and the user's comprehensive ability information, the position matching degree corresponding to each of the multiple positions is obtained to determine the matching degree between the user's comprehensive ability and the comprehensive ability that can be competent for each position; based on the position matching degree corresponding to each of the multiple positions, at least one user-adapted position is determined among the multiple positions to select at least one position suitable for the user, improve the rationality of the determined user-adapted position, and thus improve the accuracy of the results of the automated job selection method; according to the matching degree of at least one user-adapted position and the corresponding positions, a job selection result feedback instruction is generated to realize a user job selection information processing method with higher accuracy. Further, the personal experience can at least include work experience. By extracting key information from work experience and summarizing the user's comprehensive abilities based on the key information, the limitations of each historical position of the user in the work experience on determining the user's suitable position can be reduced, thereby further improving the accuracy of the results of the automated job selection method.

[0062] 2. For each user-matched position, determine at least one user-possessed capability information corresponding to the user-matched position based on the obtained comprehensive capability information corresponding to the user-matched position and the at least one user single capability information, so as to determine the capabilities corresponding to each user-matched position that the user already possesses; determine at least one key experience feature to be supplemented corresponding to each user-possessed capability information based on the key experience feature group corresponding to each of the user-possessed capability information and the at least one user key experience feature, so as to determine the content that the user possesses but has not written into the resume information; generate user resume supplement suggestions based on all the key experience features to be supplemented, which can help users explore the capabilities that they already possess but have not paid attention to, so as to provide users with more employment directions. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a scene diagram suitable for processing user career selection information provided by an embodiment of the present application.

[0064] Figure 2 It is a flowchart of a method for processing user career selection information provided in an embodiment of the present application.

[0065] Figure 3 It is a connection diagram of a user career selection information processing device provided in an embodiment of the present application.

[0066] Figure 4It is a structural diagram of a user career selection information processing device provided in an embodiment of the present application.

[0067] Figure 5 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0068] The following is combined with Figure 1 To Attachment Figure 5 This application is described in further detail.

[0069] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, a person skilled in the art may make non-creative modifications to the present embodiment as needed, but such modifications are protected by the patent law as long as they are within the scope of the present application.

[0070] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0071] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0072] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0073] For ease of understanding, the present application embodiment provides a scenario diagram applicable to user job selection information processing, such as Figure 1 As shown, the user job selection system includes an electronic device and a client. A user job selection information processing method is deployed in the electronic device. The electronic device receives resume information through the device where the client is located, and then processes the resume information in the electronic device and then feeds it back to the user through the device where the client is located.

[0074] Specifically, the embodiment of the present application provides a method for processing user job selection information, which is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. Figure 2 As shown, the method includes steps S101 to S105, wherein:

[0075] Step S101: Obtain the user's resume information.

[0076] Specifically, the electronic device can obtain resume information through the client's online resume template, or directly obtain the electronic document of the user's resume through the client to obtain the resume information, wherein the resume information may include at least personal basic information, educational experience, personal experience and personal skills. The personal basic information includes name, gender, address and other information. The educational experience may include information such as the graduation school. The personal experience may include information such as school experience and social experience. The personal skills may include information such as skill certificates.

[0077] Step S102: Determine at least one key experience feature of the user based on the resume information.

[0078] Specifically, at least one key experience feature of the user may be determined by identifying key words in the resume information; wherein the number of key experience features of the user is related to the completeness of the resume information, and therefore, the number of key experience features of the user may be one or more.

[0079] It should be noted that the key experience characteristics of each user may be education level, personal specific skills, and historical career information, wherein the historical career information may include career information of at least one historical career, and the historical career information is the job information of the position the user has worked in; for each historical career information, the historical career information may include job title, job attributes, at least one job responsibility and at least one job content, wherein the number of job responsibilities and job contents are related to the position the user has worked in, so the number of job responsibilities and job contents can be one or more.

[0080] It is understandable that by determining feature information related to the user's personal experience in the resume information so as to simultaneously reflect the personal work experience and personal education experience in the key experience features, the breadth of the key experience features can be increased.

[0081] Step S103: obtaining user comprehensive capability information according to the preset correspondence between the single capability information and the key experience feature group and at least one user key experience feature.

[0082] The user's comprehensive capability information is a collection of capability information corresponding to multiple capabilities possessed by the user.

[0083] It can be understood that, for each key experience feature group, the number of preset key experience features in the key experience feature group is related to the complexity of the single capability information corresponding to the key experience feature group. Therefore, the number of preset key experience features in the key experience feature group can be one or more; it should be noted that the correspondence between the preset single capability information of the key experience feature and the key experience feature group, and each preset key experience feature in each key experience feature group can be pre-set by technical personnel according to actual scenarios and stored in the electronic device; further, the correspondence between the preset single capability information and the key experience feature group, and each preset key experience feature in each key experience feature group all support regular addition, deletion and maintenance by technical personnel.

[0084] Single capability information can represent the capability information corresponding to any capability, and the user comprehensive capability information can include at least one user single capability information, wherein the number of user single capability information in the user comprehensive capability information is related to the user's key experience characteristics, so the number of user single capability information in the user comprehensive capability information can be one or more.

[0085] Specifically, the implementation method of obtaining the user's comprehensive capability information based on the preset correspondence between the single capability information and the key experience feature group and at least one user key experience feature may include: taking the single capability information as the entry point, or taking the user's key experience feature as the entry point.

[0086] In the implementation method based on user key experience characteristics, step S103 may specifically include: obtaining at least one user group based on at least one user key experience characteristic, wherein the user group includes any user key experience characteristics; for each single capability information, judging whether the single capability information can be determined as the user's single capability information based on the key feature key experience characteristic group corresponding to the single capability information and at least one user key experience characteristic group; if so, determining the single capability information as the user's single capability information; obtaining the user's comprehensive capability information based on all the user's single capability information; if not, it indicates that the user does not have the capability corresponding to the single capability information, and the single capability information cannot be determined as the user's single capability information.

[0087] In the implementation method based on single capability information, step S103 may specifically include: for each single capability information, according to the key experience feature group corresponding to the single capability information and at least one user key experience feature, determining the number of identical key experience features, wherein the number of identical key experience features may be the number of identical key experience features preset in the key experience feature group corresponding to the single capability information and the total user key experience features of at least one user key experience feature; judging whether the number of identical key experience features is greater than a preset key experience feature number threshold, wherein the preset key experience feature number threshold may be pre-set by a technician according to the actual scenario and stored in the electronic device; if so, it indicates that the user has the capability corresponding to the single capability information, and the single capability information may be determined as the user's single capability information; taking the collection of all user's single capability information as the user's comprehensive capability information; for each single capability information, if not, it indicates that the user does not have the capability corresponding to the single capability information.

[0088] Step S104: Obtaining the job matching degree between the user and each of the multiple jobs according to the comprehensive ability information corresponding to the multiple jobs and the comprehensive ability information of the user.

[0089] For each position, specifically, according to the comprehensive ability information corresponding to the position, the number of single ability information in the comprehensive ability information corresponding to the position is determined, wherein the comprehensive ability information includes at least one single ability information, and the number of single ability information is related to the position corresponding to the comprehensive ability information, so the number of single ability information in the comprehensive ability information can be one or more; according to at least one single ability information in the comprehensive ability information corresponding to the position and at least one user single ability information in the user comprehensive ability information, the number of identical single ability information is determined, wherein the number of identical single ability information is the number of single ability information in the comprehensive ability information corresponding to the position that is identical to the number of user single ability information in the user comprehensive ability information; according to the identical number of single ability information and the number of single ability information in the comprehensive ability information corresponding to the position, the position matching degree corresponding to the user and the position is obtained by using the calculation formula of the position matching degree, wherein the calculation formula of the position matching degree can be: Among them, ρ is the job matching degree, p0 is the number of single ability information in the comprehensive ability information corresponding to the job, and p1 is the same number of single ability information.

[0090] Step S105: Based on the job matching degree between the user and the multiple jobs, determine at least one job suitable for the user from the multiple jobs; and generate a job selection result feedback instruction based on the matching degree between the at least one job suitable for the user and the corresponding job, wherein the job selection result feedback instruction is used to recommend at least one job suitable for the user to the user.

[0091] Based on the job matching degree between the user and the multiple jobs, at least one job that the user is suitable for is determined from the multiple jobs. Specifically, the method may include: for each job, determining whether the job matching degree between the user and the job is not less than a preset job matching degree threshold, wherein the preset job matching degree threshold may be preset by a technician or a user according to actual needs; for each job, if yes, it means that the user is qualified for the job based on the abilities that he / she already possesses, and the job is determined as a job that the user is suitable for; if no, it means that the user is not qualified for the job based on the abilities that he / she already possesses. The number of jobs that the user is suitable for is related to the single ability information of the user in the comprehensive ability information of the user, and therefore, the number of jobs that the user is suitable for may be one or more.

[0092] The process of generating a job selection result feedback instruction based on at least one user-matched position may specifically include: obtaining a job selection report based on the matching degree between at least one user-matched position and its corresponding position, wherein the job selection report at least includes the matching degree between each user-matched position and its corresponding position, and wherein the user-matched positions are arranged in descending order based on the matching degree of the positions corresponding to the user-matched positions.

[0093] In an embodiment of the present application, after obtaining the resume information of the user, at least one key experience feature of the user is determined based on the resume information to extract key information from the user's personal experience and improve the breadth of the key experience features; based on the correspondence between the preset single ability information and the key experience feature group and at least one key experience feature of the user, the user's comprehensive ability information is obtained to summarize the user's comprehensive ability from the key information in the user's personal experience; based on the correspondence between the preset positions and the comprehensive ability information and the user's comprehensive ability information, the position matching degree corresponding to each of the multiple positions is obtained to determine the matching degree between the user's comprehensive ability and the comprehensive ability to be competent for each position; based on the position matching degree corresponding to each of the multiple positions, at least one user-adapted position is determined from the multiple positions to select at least one position suitable for the user, thereby improving the rationality of the determined user-adapted position, thereby improving the accuracy of the results of the automated job selection method; based on the matching degree of at least one user-adapted position and the corresponding positions, a job selection result feedback instruction is generated to achieve a user job selection information processing method with higher accuracy.

[0094] Furthermore, personal experience may include at least work experience. By extracting key information from work experience and summarizing the user's comprehensive ability based on the key information, the limitation of each historical position of the user in the work experience on determining the user's suitable position can be reduced, thereby further improving the accuracy of the results of the automated job selection method.

[0095] In a possible implementation of the embodiment of the present application, in step S105, after at least one user-adapted position is determined among the multiple positions based on the position matching degrees corresponding to the multiple positions, the method may further include step SA1 (not shown in the figure), step SA2 (not shown in the figure), and step SA3 (not shown in the figure), wherein:

[0096] Step SA1: Obtain the comprehensive capability information corresponding to each user's matching position.

[0097] Step SA2: for each user adaptation position, determine at least one user short board ability information corresponding to the user adaptation position based on the comprehensive ability information corresponding to the user adaptation position and at least one user single ability information.

[0098] For each user adaptation position, specifically, for each single ability information in the comprehensive ability information corresponding to the adaptation position, determine whether there is any user single ability information that is the same; for each single ability information in the comprehensive ability information corresponding to the adaptation position, if not, it means that the user does not have the ability corresponding to the single ability information, and the single ability information is determined as the user's shortcoming ability information corresponding to the user's adaptation position; if yes, it means that the user has the ability corresponding to the single ability information.

[0099] Among them, the number of user short board ability information corresponding to each user adaptation position is related to each user's single ability information in the user's comprehensive ability information. Therefore, the number of user short board ability information corresponding to each user adaptation position can be one or more.

[0100] Step SA3: Generate user weakness improvement suggestions based on all user weakness ability information of the user, wherein the user weakness improvement suggestions are used to prompt the user to improve the ability corresponding to each user weakness ability information.

[0101] Regarding the implementation method of step SA3, it may specifically include: taking each user's adapted position as the entry point, or taking the common user's weak ability information between each user's adapted position as the entry point.

[0102] In an embodiment of the present application, for each user-adapted position, the comprehensive ability information corresponding to the user-adapted position is determined based on the correspondence between the preset position and the comprehensive ability information and the user-adapted position, so as to determine at least one ability required to be competent for the user-adapted position; for each user-adapted position, at least one user shortcoming ability information corresponding to the user-adapted position is determined based on the comprehensive ability information corresponding to the user-adapted position and at least one user single ability information, so as to determine the ability that the user lacks when the user takes up the user-adapted position; based on all the user shortcoming ability information, user shortcoming improvement suggestions are generated to prompt the user that if he chooses to work in the user-adapted position, he needs to make up the corresponding abilities, which can provide a reasonable direction for the user to improve his own value.

[0103] In a possible implementation manner of the embodiment of the present application, step SA3 may specifically include step SA3-1 (not shown in the figure) and step SA3-2 (not shown in the figure), wherein:

[0104] Step SA3-1: Determine at least one target short board capability information based on all the user's short board capability information, wherein the target short board capability information is any user short board capability information corresponding to at least two user adaptation positions at the same time.

[0105] Step SA3-1 may specifically include steps SA3-1-1 (not shown in the figure) to SA3-1-5 (not shown in the figure), wherein:

[0106] Step SA3-1-1: For each user's weak capability information, determine the user adaptation position corresponding to the user's weak capability as the first user adaptation position of the user's weak capability information, and determine each user adaptation position except the first user adaptation position as each second user adaptation position.

[0107] Step SA3-1-2: For each user short board capability information, determine whether there is any user short board capability information in at least one user short board capability information corresponding to each second user adaptation position that is the same as the user short board capability information.

[0108] For each user's weak ability information, step SA3-1-3: for each second user adaptation position, if yes, it means that the second user adaptation position has the same user weak ability information as the first user adaptation position, and the second user adaptation position is taken as the target second user adaptation position; if no, it means that in the user weak ability information corresponding to the second user adaptation position, there does not exist any user weak ability information that is the same as the user weak ability information.

[0109] Step SA3-1-4: The number of all target second user adaptation positions is used as the target parameter corresponding to the user's weak ability information.

[0110] Step SA3-1-5: Use the short board capability information of each user whose target parameter is not zero as the short board capability information of each target user.

[0111] Step SA3-2: For each target short board capability information, obtain the number of user adaptation positions corresponding to the target short board capability information.

[0112] Specifically, according to the target parameters corresponding to each target short board capability information, the number of user adaptation positions corresponding to each target short board capability information is obtained, wherein the number of user adaptation positions corresponding to each target short board capability information = the target parameter corresponding to each target short board capability information + 1.

[0113] Step SA3-3: Generate suggestions for improving user shortcomings based on at least one target short board capability information and the number of corresponding user-matched positions.

[0114] Specifically, according to the short board ability information of all users, based on step SA3-1-4, the target parameters corresponding to the short board ability information of all users are determined; according to the target parameters corresponding to the short board ability information of all users, the priorities corresponding to the short board ability information of all users are obtained by arranging the target parameters in order of size, wherein the larger the target parameter, the higher the priority; based on the short board ability information of all users and their corresponding priorities, user short board improvement suggestions are generated, wherein the user short board improvement suggestions are used to prompt users to supplement the capabilities corresponding to each user short board ability information in order of priority from high to low.

[0115] In an embodiment of the present application, at least one target short board capability information is determined based on all user short board capability information to determine user short board capability information corresponding to at least two user adaptation positions at the same time; for each target short board capability information, the number of user adaptation positions corresponding to the target short board capability information is obtained, and the number of user adaptation positions corresponding to the target short board capability information is used as an importance reference value to prompt the user, and user short board improvement suggestions are generated to prompt the user to supplement the capabilities corresponding to the target short board capability information in turn according to the importance of the target short board capability information; it can be understood that the larger the number of user adaptation positions corresponding to the target short board capability information, the higher the cost-effectiveness of the capabilities corresponding to the target short board capability information for the user himself, and the greater the importance of the capabilities corresponding to the target short board capability information supplemented by the user, the more user adaptation positions the user can be competent for.

[0116] A possible implementation of the embodiment of the present application may further include step SN1 (not shown in the figure) and step SN2 (not shown in the figure) after step S103, wherein:

[0117] Step SN1: for each user single capability information in each user comprehensive capability information, determine whether at least one user key experience feature includes all key experience features in the key experience feature group corresponding to the user single capability information.

[0118] Step SN2: If not, the user's single capability information is determined as the target user's single capability information.

[0119] Specifically, if no, it means that all the user's key feature experiences do not include all the key feature experiences in the key experience feature group corresponding to a single ability information, and the user has at least one key feature experience in the key experience feature group corresponding to a single ability information but has not added it to the resume information; if yes, it means that all the user's key feature experiences include all the key feature experiences in the key experience feature group corresponding to a single ability information, and there is no key experience feature in the key experience feature group corresponding to the single ability information that needs to be added to the resume information.

[0120] A possible implementation of the embodiment of the present application, in step S105, after determining at least one user-adapted position from the multiple positions based on the position matching degrees corresponding to the multiple positions, the method may further include steps SB1 (not shown in the figure) to SB5 (not shown in the figure), wherein:

[0121] Step SB1: Obtain the comprehensive capability information corresponding to each user's matching position.

[0122] Step SB2: for each user adaptation position, determine at least one user capability information corresponding to the user adaptation position based on the comprehensive capability information corresponding to the user adaptation position and at least one user single capability information.

[0123] Specifically, for each single ability information in the user's comprehensive ability information corresponding to each user adaptation position, determine whether there is any user's single ability information that is the same as the single ability information; if so, it means that the user has the ability corresponding to the single ability information of the user's adaptation position, and the single ability information is used as the user's ability information. It should be noted that there is at least one single ability information that is the same as the user's single ability information in the comprehensive ability information corresponding to the user's adaptation position, and the number of user's ability information corresponding to the user's adaptation position is related to the user's ability, so the number of user's ability information corresponding to the user's adaptation position can be one or more.

[0124] Step SB3: for each user's capability information, determine whether the user's capability information is the same as any target user's single capability information.

[0125] It is understandable that if not, it means that all key experience characteristics in the key experience characteristic group corresponding to the user's ability information have been written into the resume information, and there is no need to supplement the resume information for the key experience characteristic group corresponding to the user's ability information.

[0126] Step SB4: If so, then based on the key experience feature group corresponding to each user's capability information and at least one user key experience feature, determine at least one key experience feature to be supplemented corresponding to each user's capability information, wherein the key experience feature to be supplemented is any key experience feature of the key experience feature group corresponding to at least one user's capability information that is not the same as any user's key experience feature.

[0127] Specifically, for each preset key experience feature in the key experience feature group corresponding to each user's ability information, determine whether there is any user key experience feature that is the same as the preset key experience feature; if so, it means that the resume information includes relevant content of the preset key experience feature, and there is no need to add the relevant content of the preset key experience feature to the user resume; if not, it means that the resume information does not include relevant content of the preset key experience feature, and it is necessary to add the relevant content of the preset key experience feature to the user resume. The preset key experience feature can be used as the key experience feature to be supplemented, wherein the more user key experience features, the richer the resume information. It should be noted that the number of key experience features to be supplemented is related to the richness of the resume information, so the number of key experience features to be supplemented can be one or more.

[0128] Step SB5: Generate user resume supplement suggestions based on all the key experience features to be supplemented, wherein the user resume supplement suggestions are used to prompt the user to supplement the content corresponding to all the key experience features to be supplemented in the resume information.

[0129] The implementation method of step SB5 may specifically include: taking the resume information as a whole as the entry point, or taking the user's matching position as the entry point.

[0130] In the implementation method based on user adaptation positions as the entry point, step SB5 may specifically include: for each user adaptation position, generating user resume supplement suggestions based on at least one key experience feature to be supplemented corresponding to the user adaptation position, wherein the at least one key experience feature to be supplemented corresponding to the user adaptation position is at least one key experience feature to be supplemented corresponding to each user's ability information corresponding to the user adaptation position.

[0131] In the implementation method that takes the resume information as a whole as the starting point, step SB5 may specifically include: obtaining the number of user-matching positions corresponding to each key experience feature to be supplemented; based on the number of all key experience features to be supplemented and the number of user-matching positions corresponding to each of them, sorting the numbers by size to obtain all the sorted key experience features to be supplemented; based on all the key experience features to be supplemented, generating user resume supplement suggestions, wherein the user resume supplement suggestions are used to prompt the user to complete the relevant content of each key experience feature to be supplemented in the order of all the sorted key experience features to be supplemented.

[0132] In an embodiment of the present application, for each user adaptation position, at least one user capability information corresponding to the user adaptation position is determined based on the acquired comprehensive capability information corresponding to the user adaptation position and at least one user single capability information, so as to determine the capabilities corresponding to each user adaptation position that the user already possesses; by judging whether each user capability information is the same as any target user single capability information, it is determined whether there is any key experience feature in the key experience feature group corresponding to each user capability information that has not been written into the resume information; if so, at least one key experience feature to be supplemented corresponding to each user capability information is determined based on the key experience feature group corresponding to each user capability information and at least one user key experience feature, so as to determine the content that the user possesses but has not been written into the resume information; based on all the key experience features to be supplemented, user resume supplement suggestions are generated, which can help users explore the capabilities that they already have but have not paid attention to, so as to provide users with more employment directions.

[0133] In a possible implementation manner of the embodiment of the present application, step S103 may specifically include step S1031 (not shown in the figure), step S1032 (not shown in the figure), and step S1033 (not shown in the figure), wherein:

[0134] Step S1031: obtaining at least one user key experience feature group according to at least one user key experience feature, wherein the user key experience feature group includes any at least one user key experience feature.

[0135] Specifically, according to at least one user key experience feature, at least one user key experience feature arrangement is obtained by a permutation algorithm, wherein the permutation algorithm can be any permutation algorithm, and the embodiment of the present application does not limit the specific implementation method of the permutation algorithm, and it is sufficient to be able to arrange at least one user key experience feature and obtain all user key experience feature arrangements, and the number of user key experience features in each user key experience feature arrangement is equal to the number of user key experience features in at least one user key experience feature; for each user key experience feature arrangement, according to all user key experience features in each user key experience feature arrangement, a combination algorithm is used to obtain all user key experience feature combinations corresponding to each user key experience feature arrangement, wherein the embodiment of the present application does not limit the specific implementation method of the combination algorithm, and it is sufficient to be able to combine all user key experience features in each user key experience feature arrangement and obtain all user key experience feature combinations; according to all user key experience feature combinations, by deduplication, a deduplicated user key experience feature combination is obtained, and the deduplicated user key experience feature combination is used as a user key experience feature group.

[0136] The number of user key experience feature groups is related to the number of user key experience features, so the number of user key experience feature groups may be one or more.

[0137] Step S1032: for each single capability information, determine whether the single capability information can be determined as the user's single capability information based on the key experience feature group corresponding to the single capability information and at least one user key experience feature group; if so, determine the single capability information as the user's single capability information;.

[0138] Specifically, determine whether there is any user key experience feature group that is the same as the key experience feature group corresponding to each single capability information; for each single capability information, if so, it means that the user has the capability corresponding to the single capability information, and the single capability information can be determined as the user's single capability information; if not, it means that the user does not have the capability corresponding to the single capability information, and the single capability information cannot be determined as the user's single capability information.

[0139] Step S1033: Obtain user comprehensive capability information based on all user single capability information.

[0140] In an embodiment of the present application, at least one user key experience feature is obtained based on at least one user key experience feature to determine all possible combinations of user key experience features, thereby reducing the probability of inaccurate determination of user single capability information due to ignoring any user key experience feature combination; for each single capability information, based on the key experience feature group corresponding to the single capability information and at least one user key experience feature group, if it is determined that the single capability information can be determined as the user's single capability information, the single capability information is determined as the user's single capability information; and based on all the user's single capability information, the user's comprehensive capability information is obtained to achieve accurate determination of the user's single capability information.

[0141] A possible implementation of the embodiment of the present application may further include step SC1 (not shown in the figure) and step SC2 (not shown in the figure) before determining at least one user-adapted position from the multiple positions based on the position matching degrees corresponding to the multiple positions in step S105, wherein:

[0142] Step SC1: Obtain multiple user intended positions.

[0143] The user's intended job information represents the job information corresponding to any job that the user intends to work for. Specifically, at least one user's intended job information can be obtained in the same implementation method as obtaining resume information. The number of user's intended job information is related to the user's personal intention, so the number of user's intended job information can be one or more.

[0144] It should be noted that the order of step SC1 can be any position before step S105, and the embodiment of the present application does not specifically limit the position of step SC1.

[0145] Step SC2: Determine the weights corresponding to each of the plurality of positions, wherein the plurality of positions include a plurality of user intended positions and remaining positions, and the weight corresponding to at least one user intended position is greater than the weight corresponding to any remaining position.

[0146] Specifically, the weights corresponding to all user intended job information are assigned a value of m, with m>1, and the weights corresponding to all remaining jobs are assigned a value of n, with n<1.

[0147] Correspondingly, step S105 determines at least one user-adaptive position among multiple positions based on multiple position matching degrees, which may specifically include: updating the position matching degrees based on the weights corresponding to each of the multiple positions, and obtaining new position matching degrees corresponding to the multiple position matching degrees; determining at least one user-adaptive position among multiple positions based on the new position matching degrees corresponding to the multiple position matching degrees.

[0148] Specifically, based on the job matching degrees and weights corresponding to each of the multiple jobs, a job matching degree update formula is used to obtain new job matching degrees corresponding to each of the multiple jobs, wherein the job matching degree update formula may be: Δρ=α·ρ, Δρ is the new job matching degree, α is the weight corresponding to the job, and ρ is the job matching degree; for each job, determine whether the new job matching degree corresponding to the job is not less than a preset job matching degree threshold; for each job, if so, it indicates that the user is qualified for the job based on the abilities already possessed, and the job is determined as a user-adapted job; if not, it indicates that the user is not qualified for the job based on the abilities already possessed.

[0149] In an embodiment of the present application, by obtaining at least one user's intended job information and determining the user's employment intention, the weights corresponding to each job are set, and the weight corresponding to at least one user's intended job is limited to be greater than the weight corresponding to any remaining job; based on the weights corresponding to multiple jobs, multiple job matching degrees are updated, and new job matching degrees corresponding to multiple job matching degrees are obtained to improve the job matching degrees corresponding to the user's intended jobs; based on the new job matching degrees corresponding to multiple job matching degrees, at least one user-matching job is determined among multiple jobs, and the user's employment intention is added as reference data for determining the user's matching job, which can make the user's matching job more personalized and improve the user experience.

[0150] The above-mentioned embodiment introduces a method for processing user job selection information from the perspective of method flow, and the following embodiment introduces a device for processing user job selection information from the perspective of a virtual module or a virtual unit. Please refer to the following embodiment for details.

[0151] like Figure 3 As shown, the user's career selection information processing device can be connected to multiple search engines. The user's career selection information processing device inputs the keyword to be queried in any search engine and starts to monitor the search end information, wherein the search end information can be the search result of the search engine; then the search engine queries in its own index database based on the keyword to be queried and obtains the corresponding content of the keyword to be queried; the user's career selection information processing device monitors the corresponding content of the keyword to be queried and obtains the corresponding content of the keyword to be queried.

[0152] The present application embodiment provides a user job selection information processing device, such as Figure 4 As shown, the user job selection information processing device may specifically include:

[0153] Resume acquisition module 201, used to acquire the user's resume information;

[0154] A key experience feature determination module 202, configured to determine at least one key experience feature of a user based on resume information;

[0155] A user comprehensive capability information determination module 203, configured to obtain user comprehensive capability information based on a preset correspondence between a single capability information and a key experience feature group and at least one user key experience feature;

[0156] The job matching degree determination module 204 is used to obtain the job matching degree between the user and each of the multiple jobs according to the comprehensive ability information corresponding to the multiple jobs and the comprehensive ability information of the user;

[0157] The job selection result generation module 205 is used to determine at least one user-suitable position among multiple positions based on the matching degree between the user and the positions corresponding to the multiple positions; and generate a job selection result feedback instruction based on the matching degree between at least one user-suitable position and the corresponding position, wherein the job selection result feedback instruction is used to recommend at least one user-suitable position to the user.

[0158] In a possible implementation manner of the embodiment of the present application, the user comprehensive capability information includes at least one user single capability information, and the user career selection information processing device further includes:

[0159] The module for generating suggestions for improving user shortcomings is used to:

[0160] Obtain the comprehensive capability information corresponding to each user's suitable position;

[0161] For each user adaptation position, determining at least one user short board capability information corresponding to the user adaptation position according to the comprehensive capability information corresponding to the user adaptation position and at least one user single capability information;

[0162] Based on all the user's short board ability information, user short board improvement suggestions are generated, wherein the user short board improvement suggestions are used to prompt the user to improve the ability corresponding to each user short board ability information.

[0163] In a possible implementation of the embodiment of the present application, the user weakness improvement suggestion generation module, when executing the generation of user weakness improvement suggestions based on all user weakness capability information, is used to:

[0164] Determine at least one target short board capability information according to all the user short board capability information of the user, wherein the target short board capability information is the user short board capability information corresponding to at least two user adaptation positions at the same time;

[0165] For each target short board capability information, obtain the number of user adaptation positions corresponding to the target short board capability information;

[0166] According to at least one target short board capability information and the number of user adaptation positions corresponding to each target short board capability information, user short board improvement suggestions are generated.

[0167] In a possible implementation manner of the embodiment of the present application, the user comprehensive capability information includes at least one user single capability information, and the user career selection information processing device further includes:

[0168] The target user single capability information determination module is used to:

[0169] For each user single capability information in each user comprehensive capability information, determining whether at least one user key experience feature includes all key experience features in the key experience feature group corresponding to the user single capability information;

[0170] If not, the user's single capability information is determined as the target user's single capability information.

[0171] In a possible implementation manner of the embodiment of the present application, the user job selection information processing device further includes:

[0172] A module for generating user resume supplement suggestions, used to:

[0173] Obtain the comprehensive capability information corresponding to each user's suitable position;

[0174] For each user adaptation position, determining at least one user possessed capability information corresponding to the user adaptation position according to the comprehensive capability information corresponding to the user adaptation position and at least one user single capability information;

[0175] For each user's capability information, determine whether the user's capability information is the same as any single capability information of the target user; if so, determine at least one to-be-supplemented key experience feature corresponding to each user's capability information based on the key experience feature group corresponding to each user's capability information and at least one user's key experience feature, wherein the to-be-supplemented key experience feature is any key experience feature of the key experience feature group corresponding to at least one user's capability information that is not the same as any user's key experience feature;

[0176] Generate user resume supplement suggestions based on all the key experience features to be supplemented, wherein the user resume supplement suggestions are used to prompt the user to supplement the content corresponding to all the key experience features to be supplemented in the resume information.

[0177] In a possible implementation of the embodiment of the present application, the user comprehensive capability information determination module 203, when executing the corresponding relationship between the preset single capability information and the key experience feature group and at least one user key experience feature to obtain the user comprehensive capability information, is used to:

[0178] According to at least one key experience feature of a user, at least one user group is obtained, wherein the user group includes any key experience feature of the user;

[0179] For each single capability information, judging whether the single capability information can be determined as the user's single capability information according to the key feature key experience feature group corresponding to the single capability information and at least one user key experience feature group; if so, determining the single capability information as the user's single capability information;

[0180] Based on the single ability information of all users, the comprehensive ability information of users is obtained.

[0181] In a possible implementation manner of the embodiment of the present application, the user job selection information processing device further includes:

[0182] Position weight determination module, used for:

[0183] Get multiple user intended positions;

[0184] Determine weights corresponding to each of the plurality of positions, wherein the plurality of positions include a plurality of user intended positions and remaining positions, and the weight corresponding to each of at least one user intended position is greater than the weight corresponding to any of the remaining positions;

[0185] Accordingly, the job selection result generating module 205, when determining at least one user-matching position from a plurality of positions based on the position matching degrees corresponding to the plurality of positions, is used to:

[0186] Based on the weights corresponding to the multiple positions, multiple position matching degrees are updated, and new position matching degrees corresponding to the multiple position matching degrees are obtained;

[0187] At least one user-matching position is determined from among the multiple positions based on new position matching degrees corresponding to the multiple position matching degrees.

[0188] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the user career selection information processing device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0189] An electronic device is provided in an embodiment of the present application, such as Figure 5 As shown, Figure 5 The electronic device shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device may further include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device does not constitute a limitation on the embodiments of the present application.

[0190] Processor 301 may be a CPU (Central Processing Unit), a general purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0191] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0192] The memory 303 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0193] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0194] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 5 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0195] The embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer is run on a computer, the computer can execute the corresponding content in the above method embodiment. Compared with the related art, the embodiment of the present application obtains the resume information of the user, and determines at least one key experience feature of the user according to the resume information, so as to extract key information from the user's personal experience and improve the breadth of the key experience feature; obtains the user's comprehensive ability information according to the preset correspondence between the single ability information and the key experience feature group and at least one key experience feature of the user, so as to summarize the user's comprehensive ability in the key information in the user's personal experience; obtains the position matching degree corresponding to each of the multiple positions according to the preset correspondence between the position and the comprehensive ability information and the user's comprehensive ability information, so as to determine the matching degree between the user's comprehensive ability and the comprehensive ability that can be competent for each position; based on the position matching degree corresponding to each of the multiple positions, determines at least one user-adapted position in the multiple positions, so as to select at least one position suitable for the user, and improve the rationality of the determined user-adapted position, so as to improve the accuracy of the result of the automated job selection method; generates a job selection result feedback instruction according to the matching degree of at least one user-adapted position and the corresponding position, so as to realize a user job selection information processing method with higher accuracy. Furthermore, personal experience may include at least work experience. By extracting key information from work experience and summarizing the user's comprehensive ability based on the key information, the limitation of each historical position of the user in the work experience on determining the user's suitable position can be reduced, thereby further improving the accuracy of the results of the automated job selection method.

[0196] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0197] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for processing user job selection information, characterized in that: include: Get the user's resume information; Determining at least one key experience feature of the user based on the resume information; Obtaining user comprehensive capability information according to the preset correspondence between the single capability information and the key experience feature group and the at least one user key experience feature; Obtaining the job matching degree between the user and each of the multiple jobs according to the comprehensive ability information corresponding to the multiple jobs and the comprehensive ability information of the user; Based on the job matching degree between the user and the multiple jobs respectively corresponding to the multiple jobs, at least one job suitable for the user is determined from the multiple jobs; and according to the matching degree between the at least one job suitable for the user and the corresponding job, a job selection result feedback instruction is generated, wherein the job selection result feedback instruction is used to recommend the at least one job suitable for the user to the user; The user comprehensive capability information includes at least one user single capability information, and after obtaining the user comprehensive capability information according to the correspondence between the preset single capability information and the key experience feature group and the at least one user key experience feature, the following is further included: For each user single capability information in each user comprehensive capability information, determining whether the at least one user key experience feature includes all key experience features in the key experience feature group corresponding to the user single capability information; If not, the user's single capability information is determined as the target user's single capability information; After determining at least one suitable position for the user among the multiple positions based on the position matching degrees corresponding to the user and the multiple positions, the method further includes: Obtain the comprehensive capability information corresponding to each user's suitable position; For each user adaptation position, determining at least one user capability information corresponding to the user adaptation position according to the comprehensive capability information corresponding to the user adaptation position and the at least one user single capability information; For each user's capability information, determine whether the user's capability information is the same as any target user's single capability information; If so, then determining at least one key experience feature to be supplemented corresponding to each user's ability information according to the key experience feature group corresponding to each of the user's ability information and the at least one user's key experience feature, wherein the key experience feature to be supplemented is any key experience feature of the key experience feature group corresponding to each of the at least one user's ability information that is not the same as any user's key experience feature; Generate user resume supplement suggestions based on all the key experience features to be supplemented, wherein the user resume supplement suggestions are used to prompt the user to supplement the content corresponding to all the key experience features to be supplemented in the resume information; The generating of user resume supplement suggestions based on all key experience features to be supplemented includes: Obtain the number of user-matching positions corresponding to each key experience feature to be supplemented, sort all key experience features to be supplemented from large to small according to the number, and obtain all sorted key experience features to be supplemented; According to all the sorted key experience features to be supplemented, user resume supplement suggestions are generated, wherein the user resume supplement suggestions are used to prompt the user to complete the relevant content of each key experience feature to be supplemented in the order of all the sorted key experience features to be supplemented.

2. The method for processing user job selection information according to claim 1, characterized in that: The user comprehensive capability information includes at least one user single capability information, After determining at least one user-adapted position from the multiple positions based on the position matching degrees corresponding to the multiple positions, the method further includes: Obtain the comprehensive capability information corresponding to each user's suitable position; For each user adaptation position, determining at least one user short board capability information corresponding to the user adaptation position according to the comprehensive capability information corresponding to the user adaptation position and the at least one user single capability information; Based on all of the user's weak point ability information, user weak point improvement suggestions are generated, wherein the user weak point improvement suggestions are used to prompt the user to improve the ability corresponding to each of the user weak point ability information.

3. The method for processing user job selection information according to claim 2, characterized in that: Generating suggestions for improving user shortcomings based on all the user's shortcomings information includes: Determine at least one target short board capability information according to all the user short board capability information of the user, wherein the target short board capability information is the user short board capability information corresponding to at least two of the user adaptation positions at the same time; For each target short board capability information, obtain the number of user adaptation positions corresponding to the target short board capability information; According to the at least one target short board capability information and the number of user adaptation positions corresponding to each of them, a suggestion for improving the user's short board is generated.

4. The method for processing user job selection information according to claim 1, characterized in that: The obtaining of user comprehensive capability information according to the correspondence between the preset single capability information and the key experience feature group and the at least one user key experience feature includes: According to the at least one user key experience feature, obtaining at least one user group, wherein the user group includes any of the user key experience features; For each single capability information, judging whether the single capability information can be determined as the user's single capability information according to the key feature key experience feature group corresponding to the single capability information and the at least one user key experience feature group; if so, determining the single capability information as the user's single capability information; The user comprehensive capability information is obtained based on the single capability information of all users.

5. The method for processing user job selection information according to claim 1, characterized in that: Before determining at least one user-adapted position from a plurality of positions based on the position matching degrees corresponding to the plurality of positions, the method further includes: Get multiple user intended positions; Determine the weights corresponding to the plurality of positions, wherein the plurality of positions include a plurality of user intended positions and remaining positions, and the weight corresponding to at least one user intended position is greater than the weight corresponding to any remaining position; Accordingly, determining at least one user-matching position from among the multiple positions based on the position matching degrees corresponding to the multiple positions respectively includes: Based on the weights corresponding to the plurality of positions, the position matching degrees are updated, and new position matching degrees corresponding to the plurality of position matching degrees are obtained; At least one user-matching position is determined from the multiple positions based on the new position matching degrees corresponding to the multiple position matching degrees.

6. A user job selection information processing device, characterized in that: include: Resume acquisition module, used to obtain user's resume information; A key experience feature determination module, used to determine at least one key experience feature of the user based on the resume information; A user comprehensive capability information determination module, configured to obtain the user comprehensive capability information according to a preset correspondence relationship between a single capability information and a key experience feature group and the at least one user key experience feature; A job matching degree determination module, used to obtain the job matching degree corresponding to each of the multiple jobs according to the comprehensive ability information corresponding to the multiple jobs and the comprehensive ability information of the user; A job selection result generation module is used to determine at least one user-suitable position among the multiple positions based on the matching degree between the user and the positions corresponding to the multiple positions; and generate a job selection result feedback instruction according to the matching degree between the at least one user-suitable position and the corresponding position, wherein the job selection result feedback instruction is used to recommend the at least one user-suitable position to the user; The user comprehensive capability information includes at least one user single capability information, and the user career information processing device further includes: a target user single capability information determination module, and the target user single capability information determination module is used to: For each user single capability information in each user comprehensive capability information, determining whether the at least one user key experience feature includes all key experience features in the key experience feature group corresponding to the user single capability information; If not, the user's single capability information is determined as the target user's single capability information; The user job selection information processing device further includes: a user resume supplement suggestion generating module, wherein the user resume supplement suggestion generating module is used to: Obtain the comprehensive capability information corresponding to each user's suitable position; For each user adaptation position, determining at least one user capability information corresponding to the user adaptation position according to the comprehensive capability information corresponding to the user adaptation position and the at least one user single capability information; For each user's capability information, determine whether the user's capability information is the same as any target user's single capability information; If so, then determining at least one key experience feature to be supplemented corresponding to each user's ability information according to the key experience feature group corresponding to each of the user's ability information and the at least one user's key experience feature, wherein the key experience feature to be supplemented is any key experience feature of the key experience feature group corresponding to each of the at least one user's ability information that is not the same as any user's key experience feature; Generate user resume supplement suggestions based on all the key experience features to be supplemented, wherein the user resume supplement suggestions are used to prompt the user to supplement the content corresponding to all the key experience features to be supplemented in the resume information; The user resume supplement suggestion generating module, when executing the generating of user resume supplement suggestions according to all key experience features to be supplemented, is specifically used for: Obtain the number of user-matching positions corresponding to each key experience feature to be supplemented, sort all key experience features to be supplemented from large to small according to the number, and obtain all sorted key experience features to be supplemented; According to all the sorted key experience features to be supplemented, user resume supplement suggestions are generated, wherein the user resume supplement suggestions are used to prompt the user to complete the relevant content of each key experience feature to be supplemented in the order of all the sorted key experience features to be supplemented.

7. An electronic device, characterized in that: include: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the user career selection information processing method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed in a computer, the computer is caused to execute the user job selection information processing method as described in any one of claims 1 to 5.

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