A teaching aid system for job-seeking ability improvement

Abstract

The application provides a teaching auxiliary system for improving job-seeking ability, and belongs to the technical field of data management, and specifically comprises: a discrete evaluation module responsible for determining whether the distribution aggregation degree of a training course of a target major meets requirements, a deviation identification module responsible for determining a training course deviation post in a matching post when the distribution aggregation degree does not meet the requirements, an analysis and processing module responsible for obtaining an analysis and processing strategy for determining the matching condition of the matching post of the target major and an employment post in a target employment website, and an identification and processing module responsible for determining an identification and processing strategy for a user with an unclear job-seeking intention portrait in the target major, thereby improving the consistency of the training data and the employment post data.

Description

Technical Field

[0001] This invention belongs to the field of data management technology, and in particular relates to a teaching assistance system for improving job-seeking skills. Background Technology

[0002] To enhance university students' job-seeking abilities, an increasing number of schools are building online job-seeking teaching platforms. For example, patent application CN202011418612.4, "An Innovation and Entrepreneurship Education Service System," describes a system that utilizes an online education learning system to collect information on students' strengths, interests, and intentions. Through database analysis, it recommends the best-matching industries and provides instruction, thereby improving the job-seeking abilities of trainees. However, the existing technical solutions have the following technical problems:

[0003] In the process of training job-seeking skills, a mismatch arises between the popularity of training courses and the availability of job postings on employment websites for students in different professional fields. Specifically, when students in a particular major experience high interest in training courses for a specific type of job, but the actual number of available positions is limited, and since different job postings often correspond to different training courses, a mismatch between the learning outcomes and the students' job-seeking needs inevitably occurs. Therefore, determining a strategy to identify and address students with unclear job-seeking profiles based on the matching of training course popularity with job postings on employment websites, and then recommending targeted training courses to ensure that their learning outcomes align with their job-seeking requirements, becomes a pressing technical problem.

[0004] To address the aforementioned technical problems, this application provides a teaching support system for improving job-seeking skills. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted:

[0006] Specifically, this application provides a teaching support system for improving job-seeking skills, which includes:

[0007] The discrete assessment module is responsible for determining the matching positions for different training courses based on the matching situation between different training courses and matching positions. Based on the similarity of training courses for different matching positions in the target major, and combined with the composition data of training courses for different matching positions, it determines whether the distribution and clustering of training courses in the target major meets the requirements.

[0008] The deviation identification module is responsible for determining the training course deviation positions among the matched positions based on the deviation between the training courses of the matched positions and other matched positions in the target profession when the distribution clustering degree does not meet the requirements.

[0009] The analysis and processing module is responsible for acquiring the composition data of the training courses deviation positions in the target major, and combining the similarity of the training courses of the matching positions in the target major and the training courses deviation positions, to determine the analysis and processing strategy for the matching of the matching positions in the target major and the job positions in the target employment website.

[0010] The identification and processing module is responsible for determining the identification and processing strategy for users whose job-seeking intention profile is unclear in the target major based on the analysis and processing strategy of the matching situation of different matching positions in the target major.

[0011] The beneficial effects of this invention are as follows:

[0012] By analyzing the composition data of training courses with deviations from job positions in the target major, and the similarity between the training courses of matching job positions in the target major and the training courses of these deviations, an analysis and processing strategy is developed to determine the matching situation between matching job positions in the target major and job positions on the target employment website. This enables the identification and processing of mismatches between browsing popularity and the number of job positions on the target employment website, avoiding the technical problem of too many people gathering on a single training course and not matching the needs of job positions, which leads to a mismatch between training learning data and actual job requirements. It also lays the foundation for further identification and processing of users with unclear job-seeking intention profiles.

[0013] Based on the analysis and processing strategies for matching different job positions within the target major, this study determines the identification and processing strategies for users with unclear job-seeking intention profiles within the target major. This enables the determination of identification and processing strategies for users with unclear job-seeking intention profiles from the perspective of the timeliness of the assessment and analysis of the matching degree between the matching job and the employment position. This not only reduces the difficulty of identifying and processing users with unclear job-seeking intention profiles, but also improves the timeliness of identification and processing of users with unclear job-seeking intention profiles when the timeliness of assessment and analysis is not high.

[0014] A further technical solution is that the matching job position for the training course is determined based on the matching result between the title keywords of the training course and the keywords of the matching job position. Specifically, training courses whose title keywords are the same as the keywords of the job requirement skills corresponding to the matching job position are used as the matching job positions for the training courses.

[0015] Furthermore, the similarity of training courses for the matched positions includes the number of similar training courses for different matched positions.

[0016] A further technical solution involves determining that the distribution and clustering of training courses for the target specialty do not meet the requirements, specifically including:

[0017] Based on the similarity of training courses for different matching positions in the target profession, determine the number of overlapping matching positions in different training courses;

[0018] Training courses for positions that do not overlap with each other will be treated as single-match training courses.

[0019] Based on the composition data of single-match training courses in different matched positions, determine whether the distribution and clustering of training courses in the target major meet the requirements.

[0020] A further technical solution involves determining the method for identifying and processing users with unclear job-seeking intention profiles within the target major as follows:

[0021] Based on the analysis and processing strategy of the matching situation of different matching positions in the target profession, the matching positions using the preset analysis and processing strategy and the matching positions using the second preset analysis and processing strategy are determined and respectively regarded as the preset strategy positions and the second preset strategy positions.

[0022] Based on the number of positions in the second preset strategy, a strategy for identifying and processing users with unclear job-seeking intention profiles in the target major is determined.

[0023] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0024] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0025] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings;

[0026] Figure 1 This is a framework diagram of a teaching support system for improving job-seeking skills;

[0027] Figure 2 This is a flowchart illustrating the process of determining whether the distribution and clustering of training courses for the target specialty do not meet the requirements.

[0028] Figure 3This is a flowchart illustrating the method for determining the deviation of training courses in matching job positions;

[0029] Figure 4 This is a flowchart illustrating the method for determining the matching strategy between target majors and job positions on target employment websites.

[0030] Figure 5 This is a flowchart illustrating the method for determining the identification and processing strategy for users with unclear job-seeking intention profiles within their target major. Detailed Implementation

[0031] 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 with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0032] In this application, by considering the matching between the job positions corresponding to the training courses and the actual job positions, when there is a discrepancy between the browsing popularity of the job positions corresponding to the training courses and the number of actual job positions offered, the application identifies users with unclear employment profiles and recommends training courses for positions with low browsing popularity and a large number of actual job positions offered, thereby ensuring that the training results match the skills required by users when they are actually seeking employment.

[0033] Training courses with no overlapping matching positions are considered as single-match training courses. Matching positions with a single-match training course accounting for more than 0.4% of the total training courses for matching positions are considered as training course deviation positions. When the number of training course deviation positions is within a preset range, i.e., the number is relatively large, it is determined that the distribution and clustering degree of the training courses for the target major does not meet the requirements.

[0034] The average number of overlaps between training courses for different training course deviation positions is taken as the number of course overlaps for different matched positions. When the proportion of course overlaps for matched positions to the total number of training courses for matched positions is less than 0.35, a pre-set analysis and processing strategy is adopted to determine the matching status between matched positions and job positions on the target employment website. Otherwise, a second pre-set analysis and processing strategy is adopted to determine the matching status between matched positions and job positions on the target employment website.

[0035] The second preset strategy positions are those that are matched with job positions on the target job website using the second preset analysis and processing strategy. When the number of positions in the second preset strategy accounts for more than 0.3% of the number of matching positions in the target major, then regardless of whether there are any mismatched positions with job positions on the target job website, it is necessary to identify users with unclear job intention profiles in the target major according to the preset time period.

[0036] Example 1

[0037] like Figure 1 As shown, this application provides a teaching support system for improving job-seeking skills, specifically including:

[0038] The discrete assessment module is responsible for determining the matching positions for different training courses based on the matching situation between different training courses and matching positions. Based on the similarity of training courses for different matching positions in the target major, and combined with the composition data of training courses for different matching positions, it determines whether the distribution and clustering of training courses in the target major meets the requirements.

[0039] Furthermore, the matching job positions for the training courses are determined based on the matching results between the keywords in the title of the training courses and the keywords in the matching job positions. Specifically, training courses whose title keywords are the same as the keywords in the job requirement skills corresponding to the matching job positions are used as the matching job positions for the training courses.

[0040] Furthermore, the similarity of training courses for the matched positions includes the number of similar training courses for different matched positions.

[0041] Specifically, such as Figure 2 As shown, the distribution and clustering of training courses for the target major do not meet the requirements, specifically including:

[0042] Based on the similarity of training courses for different matching positions in the target profession, determine the number of overlapping matching positions in different training courses;

[0043] Training courses for positions that do not overlap with each other will be treated as single-match training courses.

[0044] Based on the composition data of single-match training courses in different matched positions, determine whether the distribution and clustering of training courses in the target major meet the requirements.

[0045] It is understandable that when the number of matching positions where the proportion of a single matching training course in the training courses for the matching position is greater than a preset proportion threshold is greater than a preset number of positions threshold, it is determined that the distribution and clustering degree of the training courses for the target profession does not meet the requirements.

[0046] It is understandable that the distribution and clustering of training courses for the target major do not meet the requirements, specifically including:

[0047] S11 determines the number of overlapping matching positions in different training courses based on the similarity of training courses for different matching positions in the target profession, and treats training courses with no overlapping matching positions as single matching training courses.

[0048] It is understood that if the number of training courses is less than the preset threshold for the number of training courses in the above steps, then the distribution and clustering of the training courses for the target major are determined to meet the requirements.

[0049] Furthermore, when the number of training courses is less than the preset threshold for the number of training courses, it is also necessary to determine whether the number of single-match training courses meets the requirements. Specifically, when the proportion of the number of single-match training courses in the target major is greater than the preset proportion, it is determined that the distribution and clustering of training courses in the target major does not meet the requirements.

[0050] It should also be noted that if the number of single-match training courses accounts for no more than the preset percentage of the target major, then the number of single-match training courses is relatively small. Therefore, it is necessary to further determine the number of matching positions with single-match training courses. When the number of matching positions with single-match training courses is less than the preset threshold for the number of positions, it is determined that the distribution and clustering of training courses in the target major meets the requirements.

[0051] Furthermore, it should be noted that if the number of matching positions for a single matching training course is not less than the preset job number threshold, it is also necessary to determine whether the proportion of the number of matching positions for a single matching training course in the target major is greater than the preset number proportion threshold. If so, it is determined that the distribution and aggregation degree of the training courses in the target major does not meet the requirements. Otherwise, proceed to step S12.

[0052] S12 determines the proportion of a single-match training course in the training courses for different matched positions based on the composition data of the single-match training courses in the matched positions, and uses it as the proportion of a single course. Based on the proportion of a single course, the training course deviation positions are determined.

[0053] Additionally, it should be noted that in the above steps, matching positions where the proportion of a single matching training course in the training courses of the matching position is greater than a preset proportion threshold are considered as training course deviation positions. When there are no training course deviation positions in the target profession, it is determined that the distribution and clustering degree of the training courses in the target profession meets the requirements.

[0054] Additionally, it is understandable that when there are positions with training course deviations in the target profession, it is necessary to further determine whether the number of positions with training course deviations exceeds the preset threshold for the number of positions. In this case, it is determined that the distribution and clustering of the training courses in the target profession does not meet the requirements.

[0055] If the number of training courses deviating from the target number of positions is not greater than the preset target number of positions, then proceed directly to the next step.

[0056] S13 determines whether the distribution and clustering of training courses for the target major meet the requirements based on the number of positions with deviations in training courses and the proportion of a single course in different positions with deviations in training courses.

[0057] In one possible embodiment, the distribution discrete value is determined based on the percentage of matching positions in the target specialty for training course deviation positions, the average percentage of a single course in different training course deviation positions, and the average percentage of matching positions in the target specialty for a single matching training course.

[0058] It is understood that the value of the discrete distribution is between 0 and 1. The preset discrete distribution threshold is determined based on the number of training courses in the target major. When the discrete distribution value is greater than the preset discrete distribution threshold, it is determined that the distribution clustering degree of the training courses in the target major does not meet the requirements.

[0059] It is understandable that the number of training courses and the preset distribution discrete threshold are determined according to a preset one-to-one correspondence.

[0060] Specifically, a matching position for the target major is a position that requires the target major.

[0061] It should be noted that when the distribution and clustering of training courses in the target major meet the requirements, even if the training course selection of users with unclear job-seeking intention profiles is biased, the selected training courses will still be helpful to the user's job search. Therefore, based on this, it can be directly determined that there is no need to identify users with unclear job-seeking intention profiles in the target major.

[0062] The deviation identification module is responsible for determining the training course deviation positions among the matched positions based on the deviation between the training courses of the matched positions and other matched positions in the target profession when the distribution clustering degree does not meet the requirements.

[0063] Specifically, such as Figure 3 As shown, the method for determining the training course deviation positions in the matched positions is as follows:

[0064] Based on the deviations between the training courses for the matched positions and those for other matched positions, determine the number of matched positions that overlap in different training courses.

[0065] Training courses for positions that do not overlap with each other will be treated as single-match training courses.

[0066] Based on the composition data of the single matching training courses in the matched positions, determine whether the matched positions are training course deviation positions.

[0067] It is understandable that matching positions where the proportion of a single matching training course in the training courses for the matching position is greater than a preset proportion threshold are considered as training course deviation positions.

[0068] In another embodiment, the method for determining the training course deviation positions in the matched positions is as follows:

[0069] Based on the deviations between the training courses for the matched positions and those for other matched positions, determine the number of matched positions that overlap in different training courses.

[0070] The number of training courses that overlap with different matching positions is determined based on the number of matching positions that overlap in different training courses.

[0071] The number of training courses that overlap with those in different matched positions determines whether the matched position is a training course deviation position.

[0072] It is understandable that when the number of overlapping training courses exceeds the preset training course number threshold and the number of matching positions is within the preset number range, i.e., when the number is large, then the matching positions are determined not to be training course deviation positions.

[0073] It should be noted that the other matching positions refer to other matching positions within the target major.

[0074] The analysis and processing module is responsible for acquiring the composition data of the training courses deviation positions in the target major, and combining the similarity of the training courses of the matching positions in the target major and the training courses deviation positions, to determine the analysis and processing strategy for the matching of the matching positions in the target major and the job positions in the target employment website.

[0075] Specifically, such as Figure 4 As shown, the method for determining the analysis and processing strategy for the matching of the target major with the job positions on the target employment website is as follows:

[0076] Based on the composition data of training course deviation positions in the target major, determine the percentage of training course deviation positions in the target major.

[0077] Based on the similarity between the training courses for matched positions and training course deviation positions, determine the number of overlaps with training courses for different training course deviation positions.

[0078] Based on the proportion of training courses with deviations in the target major and the number of overlaps between the matching positions and the training courses of different training course deviation positions, an analysis and processing strategy is determined to determine the matching situation between different matching positions and job positions on the target employment website.

[0079] It is understandable that when the proportion of training courses with deviations in the target major is greater than the preset proportion, a preset analysis and processing strategy is adopted for different matching positions in the target major to determine the matching situation between the matching positions and the job positions on the target employment website.

[0080] It should also be noted that when the proportion of training courses in the target profession that deviate from the target profession is not greater than the preset proportion, the average number of training courses that overlap with different training courses in different positions will be used as the number of courses that overlap with different matched positions.

[0081] When the percentage of course overlap between the matched job positions and the number of training courses in the matched job positions is less than a preset course percentage threshold, a preset analysis and processing strategy is adopted to determine the matching status between the matched job positions and the job positions in the target job website. Otherwise, a second preset analysis and processing strategy is adopted to determine the matching status between the matched job positions and the job positions in the target job website.

[0082] For positions with deviations from the training courses, a pre-set analysis and processing strategy is adopted to determine the matching situation between the matched positions and the job positions on the target employment website.

[0083] It is understood that the preset analysis and processing strategy is to determine the proportion of the number of visitors to training courses for different matching positions to the total number of training courses for the target major, and use this as the proportion of visitors. When the sum of the proportions of visitors for the largest number of matching positions is greater than the preset proportion threshold, the matching of the matching positions with the job positions on the target employment website is analyzed and processed.

[0084] Additionally, it should be noted that the preset analysis and processing strategy involves determining the percentage of visitors to training courses for different matching positions relative to the total number of training courses for the target major, and using this percentage as the visitor percentage. When the sum of the visitor percentages for the largest preset number of matching positions exceeds a second preset percentage threshold, the matching of the matching positions with job positions on the target employment website is analyzed and processed.

[0085] In one possible embodiment, the sum of the percentage of views of the training courses for the top three matched positions is taken. When the sum of the percentage of views of the training courses for the top three matched positions is greater than 0.7, the matching status of the matched positions with the job positions on the target employment website is analyzed and processed.

[0086] Specifically, the analysis and processing of the matching results between the matched job postings and job postings on the target employment website includes:

[0087] Based on the ratio of the percentage of visitors to the target job postings on the target job website, if the ratio is greater than a preset threshold, it is determined that the matched job posting does not match the job postings on the target job website.

[0088] It is understood that when the ratio is greater than 3, it is determined that the matched job is not a match with the job posting on the target job website.

[0089] In another possible embodiment, the method for determining the analysis and processing strategy for the matching of the target major's job postings with the job postings on the target employment website is as follows:

[0090] S31 uses the composition data of training course deviation positions in the target major to determine the proportion of training course deviation positions in the target major and the number of matching positions.

[0091] It is understandable 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, if the number of training positions is greater than the preset training position threshold, then the preset analysis and processing strategy is adopted to determine the matching situation between the matching positions and the employment positions on the target employment website for different matching positions in the target major.

[0092] Additionally, it should be noted that if the number of training positions is not greater than the preset threshold for the number of matched positions, it is necessary to further determine whether the average number of training courses corresponding to different training positions meets the requirements. If the average number of training courses corresponding to different training positions is greater than the preset threshold for the number of courses, and the number of training positions is within the preset range (i.e., the number is relatively large), then for different matched positions in the target major, a preset analysis and processing strategy is adopted to determine the matching situation between the matched positions and the job positions on the target employment website.

[0093] In other cases, if the proportion 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, a preset analysis and processing strategy is adopted to determine the matching situation between the matching positions and the job positions in the target employment website. If the proportion of training course deviation positions is not greater than the preset proportion value, then proceed to the next step.

[0094] S32 determines the number of overlaps with training courses for different training course deviation positions based on the similarity between the matching position and the training course deviation position. Based on the average percentage of the overlap in the training courses for different training course deviation positions, the course matching value for different matching positions is determined.

[0095] In one possible embodiment, if the course matching value of different matching positions is less than a preset matching threshold or the number of training positions with a course matching value not less than the preset matching threshold is insufficient (i.e., the number of training positions is less than a preset quantity threshold), then for different matching positions in the target major, a preset analysis and processing strategy is adopted to determine the matching status between the matching positions and the employment positions in the target employment website.

[0096] Additionally, it can be 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 course matching value of different training positions is not less than the preset matching threshold, then 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.

[0097] S33 determines the analysis and processing strategy for the matching situation between different matching positions and job positions on the target employment website based on the proportion of training courses with deviations in the target major, the course matching value of different matching positions, and the number of matching positions.

[0098] In one possible embodiment, the distribution discrete value is based on the proportion of training course deviation positions in the target profession and the number of matching positions, and the product of the ratio of the number of matching positions to the preset number of matching positions and the proportion of training course deviation positions in the target profession.

[0099] When the discrete value of the distribution is greater than the preset discrete threshold, a preset analysis and processing strategy is adopted to determine the matching situation between the matching position and the job position in the target employment website for different matching positions in the target major.

[0100] When the distribution discrete value is not greater than the preset distribution discrete threshold, and when the proportion of the number of courses overlapping in the matched job to the number of training courses in the matched job is less than the preset course proportion threshold, then the preset analysis and processing strategy is adopted to determine the matching status between the matched job and the job in the target job website. Otherwise, the second preset analysis and processing strategy is adopted to determine the matching status between the matched job and the job in the target job website.

[0101] It should be noted that the target employment websites include one or more of the school's employment websites and employment websites for graduating students.

[0102] The identification and processing module is responsible for determining the identification and processing strategy for users whose job-seeking intention profile is unclear in the target major based on the analysis and processing strategy of the matching situation of different matching positions in the target major.

[0103] Specifically, such as Figure 5 As shown, the method for determining the identification and processing strategy for users with unclear job-seeking intention profiles in the target major is as follows:

[0104] Based on the analysis and processing strategy of the matching situation of different matching positions in the target profession, the matching positions using the preset analysis and processing strategy and the matching positions using the second preset analysis and processing strategy are determined and respectively regarded as the preset strategy positions and the second preset strategy positions.

[0105] Based on the number of positions in the second preset strategy, a strategy for identifying and processing users with unclear job-seeking intention profiles in the target major is determined.

[0106] It is understandable that when the proportion of the number of positions in the second preset strategy to the number of matching positions in the target major is greater than the preset threshold for the proportion of the number of positions in the second preset strategy, in one possible embodiment, when it is greater than 0.3, then regardless of whether there are matching positions that do not match the job positions in the target employment website, it is necessary to identify users with unclear job intention profiles in the target major according to a preset time period. In one possible embodiment, the preset time period ranges from one week to half a month, and is specifically determined according to the number of matching positions in the target major. The more matching positions there are, the shorter the preset time period will be.

[0107] It should also be noted that when the proportion of the number of positions in the second preset strategy to the number of matching positions in the target major is not greater than the preset threshold for the proportion of the number of positions in the second preset strategy, in one possible embodiment, when it is not greater than 0.3, it is only necessary to identify users with unclear job-seeking intention profiles in the target major when there are matching positions that do not match the job positions in the target employment website.

[0108] In another possible embodiment, when the number of second preset strategy positions accounts for a proportion of the number of matching positions in the target major between 0.1 and 0.3, then whenever there are matching positions that do not match the job positions in the target employment website, it is necessary to identify users with unclear job intention profiles in the target major.

[0109] When the proportion of the number of positions in the second preset strategy to the number of matching positions in the target major is less than 0.1, a threshold for the number of mismatched matching positions with job postings on the target job website is determined based on the proportion of the number of positions in the second preset strategy to the number of matching positions in the target major. Only when the number of mismatched matching positions with job postings on the target job website exceeds the threshold is it necessary to identify users with unclear job-seeking intention profiles in the target major.

[0110] The quantity threshold and the number of positions under the second preset strategy have a one-to-one preset correspondence with the proportion of matching positions in the target major. The smaller the proportion of matching positions under the second preset strategy in the target major, the larger the quantity threshold.

[0111] It is understood that users with unclear job-seeking intention profiles are those whose browsing percentage for different training courses only related to matching positions is less than a preset browsing percentage threshold. It is understood that users whose browsing percentage for different training courses only related to matching positions is less than 0.3 are considered users with unclear job-seeking intention profiles.

[0112] It is understandable that if, for matched job positions A, B, C, and D, the percentage of browsing time spent on only matched job positions A, B, C, and D is 0.2, 0.3, 0.35, and 0.25 respectively, it indicates that the user's job search intention profile is unclear.

[0113] For users whose job-seeking intention profile is unclear, training courses for matching positions are pushed to them from small to large based on the ratio of the percentage of people who viewed the matching positions to the percentage of the number of positions for the matching positions on the target employment website.

[0114] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0115] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0116] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A teaching support system for improving job-seeking skills, characterized in that, Specifically, it includes: The discrete assessment module is responsible for determining the matching positions for different training courses based on the matching situation between different training courses and matching positions. Based on the similarity of training courses for different matching positions in the target major, and combined with the composition data of training courses for different matching positions, it determines whether the distribution and clustering of training courses in the target major meets the requirements. The deviation identification module is responsible for determining the training course deviation positions among the matched positions based on the deviation between the training courses of the matched positions and other matched positions in the target profession when the distribution clustering degree does not meet the requirements. The analysis and processing module is responsible for acquiring the composition data of the training courses deviation positions in the target major, and combining the similarity of the training courses of the matching positions in the target major and the training courses deviation positions, to determine the analysis and processing strategy for the matching of the matching positions in the target major and the job positions in the target employment website. The identification and processing module is responsible for determining the identification and processing strategy for users whose job-seeking intention profile is unclear in the target major based on the analysis and processing strategy of different matching positions in the target major. The analysis and processing strategy includes a preset analysis and processing strategy and a second preset analysis and processing strategy. The preset analysis and processing strategy is to determine the proportion of the number of visitors to training courses for different matching positions to all training courses for the target major, and use this as the proportion of visitors. When the sum of the proportions of visitors for the largest number of matching positions is greater than the preset proportion threshold, the matching of the matching positions with the job positions in the target employment website is analyzed and processed. The method for determining the identification and processing strategy for users with unclear job-seeking intention profiles in the target major is as follows: Based on the analysis and processing strategy of the matching situation of different matching positions in the target profession, the matching positions using the preset analysis and processing strategy and the matching positions using the second preset analysis and processing strategy are determined and respectively regarded as the preset strategy positions and the second preset strategy positions. Based on the number of positions in the second preset strategy, determine the identification and processing strategy for users whose job-seeking intention profile is unclear in the target major; When the proportion of the number of positions in the second preset strategy to the number of matching positions in the target major is greater than the preset threshold for the proportion of the number of positions in the second strategy, then regardless of whether there are matching positions that do not match the job positions in the target employment website, it is necessary to identify users with unclear job intention profiles in the target major according to the preset time period. When the proportion of the number of positions under the second preset strategy to the number of matching positions in the target major is not greater than the preset threshold for the proportion of the number of positions under the second preset strategy, it is only necessary to identify users with unclear job-seeking intention profiles in the target major when there are matching positions that do not match the job positions on the target employment website.

2. The teaching support system for improving job-seeking skills as described in claim 1, characterized in that, The matching job positions for the training courses are determined based on the matching results between the keywords in the title of the training courses and the keywords in the matching job positions. Specifically, training courses whose title keywords are the same as the keywords in the job requirement skills corresponding to the matching job positions are considered as the matching job positions for the training courses.

3. The teaching support system for improving job-seeking skills as described in claim 1, characterized in that, The similarity of training courses for the matched positions includes the number of similar training courses for different matched positions.

4. The teaching support system for improving job-seeking skills as described in claim 1, characterized in that, Determine whether the distribution and clustering of training courses in the target major meet the requirements, specifically including: Based on the similarity of training courses for different matching positions in the target profession, determine the number of overlapping matching positions in different training courses; Training courses for positions that do not overlap with each other will be treated as single-match training courses. Based on the composition data of single-match training courses in different matched positions, determine whether the distribution and clustering of training courses in the target major meet the requirements.

5. The teaching support system for improving job-seeking skills as described in claim 1, characterized in that, The method for determining the training course deviation positions in the matched positions is as follows: Based on the deviations between the training courses for the matched positions and those for other matched positions, determine the number of matched positions that overlap in different training courses. Training courses for positions that do not overlap with each other will be treated as single-match training courses. Based on the composition data of the single matching training courses in the matched positions, determine whether the matched positions are training course deviation positions.

6. The teaching support system for improving job-seeking skills as described in claim 5, characterized in that, Matching positions where the proportion of a single matching training course in the training courses for the matched position is greater than a preset proportion threshold are considered as training course deviation positions.

7. The teaching support system for improving job-seeking skills as described in claim 1, characterized in that, The method for determining the analysis and processing strategy for the matching between the target major and the job positions on the target employment website is as follows: Based on the composition data of training course deviation positions in the target major, determine the percentage of training course deviation positions in the target major. Based on the similarity between the training courses for matched positions and training course deviation positions, determine the number of overlaps with training courses for different training course deviation positions. Based on the proportion of training courses with deviations in the target major and the number of overlaps between the matching positions and the training courses of different training course deviation positions, an analysis and processing strategy is determined to determine the matching situation between different matching positions and job positions on the target employment website.

8. The teaching support system for improving job-seeking skills as described in claim 7, characterized in that, When the proportion of training courses with deviations in the target major exceeds a preset value, a preset analysis and processing strategy is adopted for different matching positions in the target major to determine the matching situation between the matching positions and the job positions on the target employment website.

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