Teaching auxiliary system for improving job hunting ability

Abstract

The invention provides a teaching assistance system for improving job hunting ability, and belongs to the technical field of data management, and the system specifically comprises a discrete evaluation module which is responsible for determining whether the distribution aggregation degree of training courses of a target specialty meets the requirement, and a deviation recognition module which is responsible for recognizing whether the distribution aggregation degree does not meet the requirement or not when the distribution aggregation degree does not meet the requirement. The analysis processing module is responsible for acquiring an analysis processing strategy for determining the matching condition of the matching post of the target specialty and the employment post in the target employment website, and the identification processing module is responsible for determining an identification processing strategy for a user with an indefinite job hunting willingness portrait in the target specialty; and the consistency of the training data and the employment post data is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of data management, and in particular relates to a teaching auxiliary system for improving job-seeking ability. Background Art

[0002] In order to improve the job-seeking ability of college students, more and more schools have built online job-seeking teaching platforms to improve the job-seeking ability of college students. The specific invention patent application CN202011418612.4 "An Innovation and Entrepreneurship Education Service System" provides an online education learning system through the Internet, by collecting scholars' expertise, interests, and intentions, and combining database analysis to recommend the best matching industry, and conduct teaching education, thereby improving the job-seeking ability of the trainees. However, the existing technical solutions have the following technical problems: In the process of job-seeking ability training, for students in different professional fields, when the browsing popularity of training courses does not match the job situation in the employment website, that is, when the browsing popularity of the training courses for a certain type of matching positions by students of the target major is high, but the actual number of jobs provided is small, since different jobs often correspond to different training courses, it is inevitable that the learning results of the training courses will not match their job-seeking needs. Therefore, how to determine the identification and processing strategy for students with unclear job-seeking intentions based on the browsing popularity of training courses and the job matching situation in the employment website, and conduct targeted training course recommendations so that their learning results can match their job-seeking needs has become a technical problem that needs to be solved urgently.

[0003] In order to solve the above technical problems, the present application provides a teaching assistance system for improving job-seeking ability. Summary of the invention

[0004] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, the present application provides a teaching assistance system for improving job-seeking ability, which specifically includes: The discrete evaluation module is responsible for determining the matching positions of different training courses based on the matching conditions of different training courses and matching positions, and determining whether the distribution and aggregation degree of the training courses of the target major meets the requirements based on the similarity of the training courses of different matching positions in the target major and the composition data of the training courses of different matching positions; The deviation identification module is responsible for determining the training course deviation position in the matching position based on the deviation of the training courses of the matching position and other matching positions in the target major when the distribution aggregation degree does not meet the requirements; The analysis and processing module is responsible for obtaining the composition data of the training course deviation positions in the target major, and determining the analysis and processing strategy for the matching situation between the matching positions in the target major and the employment positions on the target employment website in combination with the similarity of the training courses of the matching positions and the training course deviation positions in the target major; The identification and processing module is responsible for determining the identification and processing strategy for users with unclear job-seeking intention portraits in the target major based on the analysis and processing strategy for the matching situation of different matching positions in the target major.

[0005] The beneficial effects of the present invention are as follows: Based on the composition data of the training course deviation positions in the target major and the similarity of the training courses of the matching positions and the training course deviation positions in the target major, the analysis and processing strategy for the matching situation between the matching positions in the target major and the employment positions on the target employment website is determined, thereby realizing the identification and processing of the mismatch between the browsing popularity and the employment positions from the perspective of the matching situation between the browsing popularity and the number of employment positions on the target employment website, avoiding the technical problem of the mismatch between the training learning data and the actual job requirements caused by too many people gathering in a single training course and not matching the job requirements, and also laying a foundation for further realizing the identification and processing of users with unclear job-seeking intention portraits.

[0006] Based on the analysis and processing strategy for the matching situation of different matching positions in the target major, the identification and processing strategy for users with unclear job-seeking intention portraits in the target major is determined, thereby realizing the determination of the identification and processing strategy for users with unclear job-seeking intention portraits from the perspective of the timeliness of the evaluation and analysis of the matching degree between the matching positions and the employment positions. This not only reduces the difficulty of identifying and processing users with unclear job-seeking intention portraits, but also improves the timeliness of identifying and processing users with unclear job-seeking intention portraits when the timeliness of the evaluation and analysis is not high.

[0007] A further technical solution is that the matching positions of the training courses are determined according to the matching results of the title keywords of the training courses and the keywords of the matching positions. Specifically, a training course in which the title keywords and the keywords of the job requirements skills corresponding to the matching positions are the same is used as the matching position of the training course.

[0008] Furthermore, the similarity of the training courses of the matching positions includes the number of similar training courses of different matching positions.

[0009] A further technical solution is that it is determined that the distribution aggregation degree of the training courses in the target major does not meet the requirements, specifically including: Determine the number of matching positions that overlap in different training courses based on the similarity of the training courses for different matching positions in the target major; Take the training courses with no overlapping matching positions as single-matching training courses; Determine whether the distribution aggregation degree of the training courses in the target major meets the requirements according to the composition data of the single-matching training courses in different matching positions.

[0010] Furthermore, the method for determining the identification and processing strategy for users with unclear job-seeking intention portraits in the target major is as follows: Based on the analysis and processing strategy for the matching situations of different matching positions in the target major, determine the matching positions that adopt the preset analysis and processing strategy and the matching positions that adopt the second preset analysis and processing strategy, and respectively regard them as the preset strategy positions and the second preset strategy positions; Determine the identification and processing strategy for users with unclear job-seeking intention portraits in the target major according to the number of the second preset strategy positions.

[0011] Other features and advantages will be described in the subsequent description. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the description and the drawings.

[0012] To make the above objectives, features, and advantages of the present invention more obvious and understandable, the following specifically enumerates preferred embodiments and, in conjunction with the accompanying drawings, makes a detailed description as follows. Description of the Drawings

[0013] By referring to the accompanying drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious; Figure 1 It is a framework diagram of a teaching assistance system for improving job-seeking ability; Figure 2 It is a flowchart for determining that the distribution aggregation degree of the training courses in the target major does not meet the requirements; Figure 3 It is a flowchart of the method for determining the training course deviation positions in the matching positions; Figure 4 It is a flowchart of the method for determining the analysis and processing strategy for the matching situation between the matching positions in the target major and the job positions in the target employment website; Figure 5 It is a flowchart of the method for determining the identification and processing strategy for users with unclear job-seeking intention portraits in the target major. Detailed Embodiments

[0014] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.

[0015] In this application, by considering the matching situation between the positions corresponding to the training courses and the positions of actual employment, when the browsing popularity of the positions corresponding to the training courses is inconsistent with the number of positions provided for actual employment, users with unclear employment portraits are identified, and training courses for positions with low browsing popularity and a relatively large number of positions provided for actual employment are recommended specifically, so that the training results match the skills required by users during actual job hunting.

[0016] The training courses with no overlapping matching positions are used as single-matching training courses, and the matching positions with the proportion of single-matching training courses in the training courses of the matching positions greater than 0.4 are used as training course deviation positions. When the number of training course deviation positions is within the preset quantity range, that is, when the number is relatively large, it is determined that the distribution aggregation degree of the training courses of the target major does not meet the requirements.

[0017] The average value of the overlapping quantities of the training courses of different training course deviation positions is used as the overlapping quantity of the courses of different matching positions. When the proportion of the overlapping quantity of the courses of the matching positions in the number of training courses of the matching positions is less than 0.35, a preset analysis and processing strategy is used to determine the analysis and processing strategy for the matching situation between the matching positions and the employment positions in the target employment website. Otherwise, the second preset analysis and processing strategy is used for the matching positions to determine the analysis and processing strategy for the matching situation between the matching positions and the employment positions in the target employment website.

[0018] The second preset strategy positions are the matching positions for which the second preset analysis and processing strategy is used to analyze and process the matching situation with the employment positions in the target employment website. When the proportion of the number of the second preset strategy positions in the number of matching positions in the target major is greater than 0.3, regardless of whether there are matching positions that do not match the employment positions in the target employment website, users with unclear job hunting intention portraits in the target major need to be identified at preset time intervals.

[0019] Embodiment 1 As Figure 1 shown, this application provides a teaching assistance system for improving job hunting ability, specifically including: The discrete evaluation module is responsible for determining the matching positions of different training courses based on the matching situations between different training courses and the matching positions, determining whether the distribution aggregation degree of the training courses in the target major meets the requirements based on the similarity of the training courses for different matching positions in the target major and combining the composition data of the training courses for different matching positions; Further, the matching positions of the training courses are determined according to the matching results between the title keywords of the training courses and the keywords of the matching positions. Specifically, the training courses in which the title keywords and the keywords of the job requirements skills corresponding to the matching positions are the same are used as the matching positions of the training courses.

[0020] Further, the similarity of the training courses for the matching positions includes the number of similar training courses for different matching positions.

[0021] Specifically, as Figure 2 shown, determining that the distribution aggregation degree of the training courses in the target major does not meet the requirements specifically includes: Determining the number of matching positions that overlap in different training courses based on the similarity of the training courses for different matching positions in the target major; Regarding the training courses with no overlapping matching positions as single-matching training courses; Determining whether the distribution aggregation degree of the training courses in the target major meets the requirements based on the composition data of the single-matching training courses in different matching positions.

[0022] It can be understood that when the number of matching positions in which the proportion of single-matching training courses in the training courses for the matching positions is greater than the preset proportion threshold is greater than the preset position number threshold, it is determined that the distribution aggregation degree of the training courses in the target major does not meet the requirements.

[0023] It can be understood that determining that the distribution aggregation degree of the training courses in the target major does not meet the requirements specifically includes: S11 Determining the number of matching positions that overlap in different training courses based on the similarity of the training courses for different matching positions in the target major, and regarding the training courses with no overlapping matching positions as single-matching training courses; It can be understood that in the above steps, if the number of training courses is less than the preset training course number threshold, it is determined that the distribution aggregation degree of the training courses in the target major meets the requirements; Further, when the number of the training courses is less than the preset threshold of the number of training courses, it is also necessary to determine whether the number of single-matched training courses meets the requirements. Specifically, when the proportion of the number of single-matched training courses in the target major is greater than the preset proportion, it is determined that the distribution aggregation degree of the training courses in the target major does not meet the requirements.

[0024] In addition, it should be noted that if the proportion of the number of single-matched training courses in the target major is not greater than the preset proportion, at this time, the number of single-matched training courses is small. Therefore, on this basis, it is also necessary to further determine the number of matching positions with single-matched training courses. When the number of matching positions with single-matched training courses is less than the preset threshold of the number of positions, it is determined that the distribution aggregation degree of the training courses in the target major meets the requirements.

[0025] Furthermore, it should be further noted that if the number of matching positions with single-matched training courses is not less than the preset threshold of the number of positions, at this time, it is also necessary to determine whether the proportion of the number of matching positions with single-matched training courses in the matching positions in the target major is greater than the preset proportion threshold. If so, it is determined that the distribution aggregation degree of the training courses in the target major does not meet the requirements, and in other cases, it proceeds to step S12.

[0026] S12 Based on the composition data of the single-matched training courses in different matching positions, determine the proportion of the single-matched training courses in the training courses of the matching positions, and use it as the single-course proportion. Based on the single-course proportion, determine the training-course deviation positions; In addition, it should be noted that in the above steps, the matching positions with the proportion of the single-matched training courses in the training courses of the matching positions greater than the preset proportion threshold are used as the training-course deviation positions. When there are no training-course deviation positions in the target major, it is determined that the distribution aggregation degree of the training courses in the target major meets the requirements; In addition, it can be understood that when there are training-course deviation positions in the target major, it is also necessary to further determine that when the number of training-course deviation positions is greater than the preset threshold of the number of positions, it is determined that the distribution aggregation degree of the training courses in the target major does not meet the requirements; If the number of training-course deviation positions is not greater than the preset threshold of the number of positions, then directly proceed to the next step.

[0027] S13 According to the number of training-course deviation positions and the single-course proportion in different training-course deviation positions, determine whether the distribution aggregation degree of the training courses in the target major meets the requirements.

[0028] In a possible embodiment, a distribution discrete value is determined based on the proportion of the number of matching positions of the training course deviation position in the target major, the average value of the single course proportion in different training course deviation positions, and the average value of the proportion of the number of matching positions of a single matching training course in the target major. It can be understood that the value range of the distribution discrete value is between 0 and 1. A preset distribution discrete threshold is determined based on the number of training courses in the target major. When the distribution discrete value is greater than the preset distribution discrete threshold, it is determined that the distribution aggregation degree of the training courses in the target major does not meet the requirements.

[0029] It can be understood that the number of training courses and the preset distribution discrete threshold are determined according to a preset one-to-one correspondence relationship.

[0030] Specifically, the matching positions of the target major are the positions that require the target major.

[0031] It should be noted that when the distribution aggregation degree of the training courses in the target major meets the requirements, even if there are deviations in the training course selection of users with unclear job search intention portraits, the training courses selected for learning are still helpful for the users' job search. Therefore, on this basis, it can be directly determined that there is no need to identify and process users with unclear job search intention portraits in the target major.

[0032] The deviation identification module is responsible for determining the training course deviation positions in the matching positions based on the deviation situation of the training courses of the matching positions and other matching positions in the target major when the distribution aggregation degree does not meet the requirements. Specifically, as Figure 3 shown, the method for determining the training course deviation positions in the matching positions is as follows: Based on the deviation situation of the training courses of the matching positions and other matching positions, determine the number of matching positions that overlap in different training courses. Take the training courses of the matching positions that do not overlap as single matching training courses. Determine whether the matching positions are training course deviation positions according to the composition data of the single matching training courses in the matching positions.

[0033] It can be understood that the matching positions with the proportion of the single matching training courses in the training courses of the matching positions greater than the preset proportion threshold are taken as training course deviation positions.

[0034] In another embodiment, the method for determining the training course deviation positions in the matching positions is as follows: Determine the number of matching positions that overlap in different training courses based on the deviation of the training courses of the matching positions and other matching positions; Determine the number of training courses that overlap with the matching positions that overlap in different training courses; Determine whether the matching position is a training course deviation position based on the number of training courses that overlap with the matching positions that overlap in different matching positions.

[0035] It can be understood that when the number of matching positions with the number of overlapping training courses greater than the preset training course quantity threshold is within the preset quantity range, that is, when the quantity is relatively large, it is determined that the matching position does not belong to the training course deviation position.

[0036] It should be noted that other matching positions are other matching positions in the target major.

[0037] The analysis and processing module is responsible for obtaining the composition data of the training course deviation positions in the target major, and determining the analysis and processing strategy for the matching situation between the matching positions in the target major and the employment positions in the target employment website in combination with the similarity of the training courses of the matching positions and the training course deviation positions in the target major; Specifically, as Figure 4 shown, the method for determining the analysis and processing strategy for the matching situation between the matching positions in the target major and the employment positions in the target employment website is: Determine the proportion of the number of training course deviation positions in the target major based on the composition data of the training course deviation positions in the target major; Determine the number of overlapping training courses with different training course deviation positions according to the similarity of the training courses of the matching positions and the training course deviation positions; Based on the proportion of the number of training course deviation positions in the target major and the number of overlapping training courses of the matching positions with different training course deviation positions, determine the analysis and processing strategy for the matching situation between different matching positions and the employment positions in the target employment website.

[0038] It can be understood that when the proportion of the number of training course deviation positions in the target major is greater than the preset proportion value, for different matching positions in the target major, the preset analysis and processing strategy is used to determine the analysis and processing strategy for the matching situation between the matching positions and the employment positions in the target employment website.

[0039] In addition, it should be noted that when the proportion of the number of training course deviation positions in the target major is not greater than the preset proportion value, the average value of the number of overlapping training courses with different training course deviation positions is used as the number of overlapping courses for different matching positions; When the proportion of the number of overlapping courses of the matching positions in the number of training courses in the matching positions is less than the preset course proportion threshold, a preset analysis and processing strategy is adopted to determine the analysis and processing strategy for the matching situation between the matching positions and the employment positions in the target employment website. Otherwise, the matching positions adopt a second preset analysis and processing strategy to determine the analysis and processing strategy for the matching situation between the matching positions and the employment positions in the target employment website.

[0040] For all training course deviation positions, a preset analysis and processing strategy is adopted to determine the analysis and processing strategy for the matching situation between the matching positions and the employment positions in the target employment website.

[0041] It can be understood that the preset analysis and processing strategy is to determine the proportion of the number of views of the training courses of different matching positions in all the training courses of the target major, and take it as the proportion of the number of views. When the sum of the proportions of the number of views of the largest matching positions of the preset quantity is greater than the preset proportion threshold, the analysis and processing of the matching situation between the matching positions and the employment positions in the target employment website is carried out.

[0042] In addition, it should be noted that the preset analysis and processing strategy is to determine the proportion of the number of views of the training courses of different matching positions in all the training courses of the target major, and take it as the proportion of the number of views. When the sum of the proportions of the number of views of the largest matching positions of the preset quantity is greater than the second preset proportion threshold, the analysis and processing of the matching situation between the matching positions and the employment positions in the target employment website is carried out.

[0043] In a possible embodiment, take the sum of the proportions of the number of views of the training courses of the matching positions with the top 3 proportions of the number of views. When the sum of the proportions of the number of views of the training courses of the matching positions with the top 3 proportions of the number of views is greater than 0.7, the analysis and processing of the matching situation between the matching positions and the employment positions in the target employment website is carried out.

[0044] Specifically, the analysis and processing of the matching situation between the matching positions and the employment positions in the target employment website specifically includes: Based on the ratio of the proportion of the number of views of the matching positions to the proportion of the number of positions of the matching positions in the target employment website, when the ratio is greater than the preset ratio threshold, it is determined that the matching positions do not match the employment positions in the target employment website.

[0045] It can be understood that when the ratio is greater than 3 or more, it is determined that the matching positions do not match the employment positions in the target employment website.

[0046] In another possible embodiment, the method for determining the analysis and processing strategy for the matching situation between the matching positions of the target major and the employment positions in the target employment website is as follows: S31 Determine the proportion of the number of training course deviation positions in the target major and the number of matching positions based on the composition data of the training course deviation positions in the target major; It can be understood that in the above steps, the number of training positions is first determined. If the number of training positions does not meet the requirements, that is, when the number of training positions is greater than the preset training position number threshold, the number of training positions is relatively large at this time. Then, for different matching positions in the target major, the preset analysis and processing strategy is used to determine the analysis and processing strategy for the matching situation between the matching positions and the employment positions in the target employment website.

[0047] In addition, it should be noted that if the number of training positions is not greater than the preset matching position number threshold, it is also necessary to further determine whether the average value of the number of training courses corresponding to different training positions meets the requirements. If the average value of the number of training courses corresponding to different training positions is greater than the preset course number threshold, and at this time if the number of training positions is within the preset position number range, that is, the number is relatively large, then for different matching positions in the target major, the preset analysis and processing strategy is used to determine the analysis and processing strategy for the matching situation between the matching positions and the employment positions in the target employment website.

[0048] In other cases, if the proportion of the number of training course deviation positions in the target major is greater than the preset proportion value, then for different matching positions in the target major, the preset analysis and processing strategy is used to determine the analysis and processing strategy for the matching situation between the matching positions and the employment positions in the target employment website. If the proportion of the number of training course deviation positions is not greater than the preset proportion value, then the next step is entered.

[0049] S32 Determine the number of overlaps of the training courses of different training course deviation positions according to the similarity of the training courses of the matching positions and the training course deviation positions, and determine the course matching values of different matching positions based on the average value of the proportion of the number of overlaps in the training courses of different training course deviation positions; In one possible embodiment, if the course matching values of different matching positions are all less than the preset matching threshold or the number of training positions with course matching values not less than the preset matching threshold does not meet the requirements, that is, the number of training positions is less than the preset number threshold, then for different matching positions in the target major, the preset analysis and processing strategy is used to determine the analysis and processing strategy for the matching situation between the matching positions and the employment positions in the target employment website.

[0050] It can be further understood that when the number of training positions with a course matching value not less than the preset matching threshold meets the requirements, and the average value of the course matching values of different training positions is not less than the preset matching threshold, for different matching positions in the target major, a preset analysis and processing strategy is adopted to determine the matching situation between the matching positions and the employment positions in the target employment website. In other cases, the process proceeds to the next step.

[0051] S33 Determine an analysis and processing strategy for the matching situation between different matching positions and the employment positions in the target employment website based on the proportion of the number of training course deviation positions in the target major, the course matching values of different matching positions, and the number of matching positions.

[0052] In a possible embodiment, based on the proportion of the number of training course deviation positions in the target major and the number of matching positions, the product of the ratio of the number of matching positions to the preset number of matching positions and the proportion of the number of training course deviation positions in the target major is used as the distribution discrete value.

[0053] When the distribution discrete value is greater than the preset distribution discrete threshold, for different matching positions in the target major, a preset analysis and processing strategy is adopted to determine the matching situation between the matching positions and the employment positions in the target employment website.

[0054] When the distribution discrete value is not greater than the preset distribution discrete threshold, when the proportion of the number of course overlaps in the matching positions to the number of training courses in the matching positions is less than the preset course proportion threshold, a preset analysis and processing strategy is adopted to determine the matching situation between the matching positions and the employment positions in the target employment website. Otherwise, a second preset analysis and processing strategy is adopted for the matching positions to determine the matching situation between the matching positions and the employment positions in the target employment website.

[0055] It should be noted that the target employment website includes one or more of the employment websites for fresh graduates on the school's employment website.

[0056] The recognition processing module is responsible for determining an identification and processing strategy for users with unclear job application intention portraits in the target major based on the analysis and processing strategy for the matching situation of different matching positions in the target major.

[0057] Specifically, as Figure 5 shown, the method for determining the identification and processing strategy for users with unclear job application intention portraits in the target major is as follows: Based on the analysis and processing strategies for the matching situations of different matching positions in the target major, determine the matching positions adopting the preset analysis and processing strategy and the matching positions of the second preset analysis and processing strategy, and use them as the preset strategy positions and the second preset strategy positions respectively; According to the number of the second preset strategy positions, determine the identification and processing strategy for users with unclear job hunting intention portraits in the target major.

[0058] It can be understood that when the proportion of the number of the second preset strategy positions in the number of matching positions in the target major is greater than the preset second strategy position number proportion threshold, in a possible embodiment, when it is greater than 0.3 or more, then regardless of the matching positions that do not match the employment positions in the target employment website, the identification of users with unclear job hunting intention portraits in the target major needs to be carried out according to a preset time period. In a possible embodiment, the value range of the preset time period is from one week to half a month, and it is specifically determined according to the number of matching positions in the target major. The more the number of matching positions, the shorter the preset time period.

[0059] In addition, it should be noted that when the proportion of the number of the second preset strategy positions in the number of matching positions in the target major is not greater than the preset second strategy position number proportion threshold, in a possible embodiment, when it is not greater than 0.3 or more, at this time, only when there are matching positions that do not match the employment positions in the target employment website, the identification of users with unclear job hunting intention portraits in the target major needs to be carried out.

[0060] In another possible embodiment, when the proportion of the number of the second preset strategy positions in the number of matching positions in the target major is between 0.1 and 0.3, then as long as there are matching positions that do not match the employment positions in the target employment website, the identification of users with unclear job hunting intention portraits in the target major needs to be carried out.

[0061] When the proportion of the number of the second preset strategy positions in the number of matching positions in the target major is less than 0.1, then according to the proportion of the number of the second preset strategy positions in the number of matching positions in the target major, determine the quantity threshold of the matching positions that do not match the employment positions in the target employment website. When the number of the matching positions that do not match the employment positions in the target employment website is greater than the quantity threshold, the identification of users with unclear job hunting intention portraits in the target major needs to be carried out.

[0062] The quantity threshold has a preset one-to-one correspondence with the proportion of the number of matching positions of the second preset strategy positions in the target major. The smaller the proportion of the number of matching positions of the second preset strategy positions in the target major, the larger the quantity threshold.

[0063] It can be understood that the users with unclear job hunting intention portraits are those whose browsing proportions in different training courses that only belong to the matching positions are all less than the preset browsing proportion threshold. It can be understood that the users whose browsing proportions in different training courses that only belong to the matching positions are all less than 0.3 are users with unclear job hunting intention portraits.

[0064] It can be understood that for matching positions A, B, C, and D, if the browsing duration proportions in only matching positions A, B, C, and D are 0.2, 0.3, 0.35, and 0.25 respectively, it indicates that the user has an unclear job hunting intention portrait.

[0065] For users with unclear job hunting intention portraits, based on the ratio of the browsing number proportion of the matching positions to the position number proportion of the matching positions in the target employment website, the training courses of the matching positions are pushed and processed in ascending order.

[0066] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the embodiments of the device, equipment, and non-volatile computer storage medium, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0067] The specific embodiments of this specification are described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be executed in a different order from that in the embodiments and still achieve the desired results. Additionally, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0068] The above description is only for one or more embodiments of this specification and is not used to limit this specification. For those skilled in the art, one or more embodiments of this specification can have various changes and modifications. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A teaching aid system for improving job hunting ability, characterized in that, Specifically, it includes: The discrete evaluation module is responsible for determining the matching positions of different training courses based on the matching situation between different training courses and the matching positions, and determining whether the distribution aggregation degree of the training courses of the target major meets the requirements based on the similarity of the training courses of different matching positions in the target major and combining the composition data of the training courses of different matching positions; The deviation identification module is responsible for determining the training course deviation positions in the matching positions based on the deviation situation of the training courses of the matching positions and other matching positions in the target major when the distribution aggregation degree does not meet the requirements; The analysis and processing module is responsible for obtaining the composition data of the training course deviation positions in the target major and determining the analysis and processing strategy for the matching situation between the matching positions in the target major and the employment positions on the target employment website by combining the similarity of the training courses of the matching positions and the training course deviation positions in the target major; The identification and processing module is responsible for determining the identification and processing strategy for users with unclear job seeking intention portraits in the target major based on the analysis and processing strategy for the matching situations of different matching positions in the target major.

2. The teaching aid system for job hunting ability improvement according to claim 1, characterized in that, The matching positions of the training courses are determined according to the matching results between the title keywords of the training courses and the keywords of the matching positions. Specifically, the training courses with the same title keywords and the keywords of the job requirements skills corresponding to the matching positions are used as the matching positions of the training courses.

3. The teaching aid system for improving job hunting ability according to claim 1, characterized in that, The similarity of the training courses of the matching positions includes the number of similar training courses of different matching positions.

4. The teaching aid system for job hunting ability improvement according to claim 1, characterized in that, Determining that the distribution aggregation degree of the training courses of the target major does not meet the requirements specifically includes: Determining the number of matching positions that overlap in different training courses based on the similarity of the training courses of different matching positions in the target major; Regarding the training courses without overlapping matching positions as single matching training courses; Determining whether the distribution aggregation degree of the training courses of the target major meets the requirements according to the composition data of the single matching training courses in different matching positions.

5. The teaching aid system for job hunting ability improvement according to claim 1, characterized in that, The method for determining the training course deviation positions in the matching positions is: Determining the number of matching positions that overlap in different training courses based on the deviation situation of the training courses of the matching positions and other matching positions; Regarding the training courses without overlapping matching positions as single matching training courses; Determining whether the matching position is a training course deviation position according to the composition data of the single matching training course in the matching position.

6. The teaching aid system for improving job hunting ability according to claim 5, wherein Regarding the matching positions with the proportion of the single matching training course in the training courses of the matching position greater than the preset proportion threshold as training course deviation positions.

7. The teaching aid system for job hunting ability improvement according to claim 1, characterized in that, The method for determining the analysis and processing strategy for the matching situation between the matching positions in the target major and the employment positions on the target employment website is: Determining the proportion of the number of training course deviation positions in the target major based on the composition data of the training course deviation positions in the target major; Determining the number of overlapping training courses with different training course deviation positions according to the similarity of the training courses of the matching positions and the training course deviation positions; Determine the analysis and processing strategy for the matching situation between different matching positions and the employment positions on the target employment website based on the proportion of the number of training course deviation positions in the target major and the number of overlapping training courses between the matching positions and different training course deviation positions.

8. The teaching aid system for improving job hunting ability according to claim 7, characterized in that When the proportion of the number of training course deviation positions in the target major is greater than the preset proportion value, for different matching positions in the target major, the preset analysis and processing strategy is adopted to determine the analysis and processing strategy for the matching situation between the matching positions and the employment positions on the target employment website.

9. The teaching aid system for improving job hunting ability according to claim 1, characterized in that, The method for determining the identification and processing strategy for users with unclear job hunting intention portraits in the target major is as follows: Based on the analysis and processing strategy for the matching situation of different matching positions in the target major, determine the matching positions that adopt the preset analysis and processing strategy and the matching positions that adopt the second preset analysis and processing strategy, and use them as the preset strategy positions and the second preset strategy positions respectively; Determine the identification and processing strategy for users with unclear job hunting intention portraits in the target major according to the number of the second preset strategy positions; It can be understood that when the proportion of the number of the second preset strategy positions in the number of matching positions in the target major is greater than the preset second strategy position proportion threshold, in a possible embodiment, when it is greater than 0.3 or more, then regardless of the existence of matching positions that do not match the employment positions on the target employment website, the identification of users with unclear job hunting intention portraits in the target major needs to be carried out according to a preset time period. In a possible embodiment, the value range of the preset time period is from one week to half a month, and it is specifically determined according to the number of matching positions in the target major. The more the number of matching positions, the shorter the preset time period.

10. The teaching aid system for job hunting ability improvement according to claim 9, characterized in that, When the proportion of the number of the second preset strategy positions in the number of matching positions in the target major is not greater than the preset second strategy position proportion threshold, at this time, only when there are matching positions that do not match the employment positions on the target employment website, the identification of users with unclear job hunting intention portraits in the target major needs to be carried out.

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