Enrollment strategy recommendation system and method

Abstract

The invention provides an enrollment strategy recommendation system and method, and relates to the technical field of information processing, and the system comprises an obtaining unit which is used for obtaining enrollment consultation data; the retrieval unit is used for generating a consultation retrieval formula based on the enrollment consultation data, performing enrollment college retrieval through the consultation retrieval formula, and querying to obtain corresponding college enrollment information; the evaluation unit is used for calling student archive information and performing ability evaluation on the students in each development direction to obtain ability indexes corresponding to each development direction; and the recommendation unit is used for carrying out enrollment recommendation analysis through the ability indexes and the college enrollment information to obtain a college enrollment strategy list, and the college enrollment strategy list comprises enrollment strategies and corresponding recommendation grades. According to the recommendation system and method provided by the invention, guidance and assistance of related college enrollment application can be provided for the user based on enrollment strategy recommendation after system optimization.

Description

Technical Field

[0001] The present invention relates to the field of information processing technology, and in particular to an enrollment strategy recommendation system and method. Background Art

[0002] During the enrollment process, recruiting institutions can create a unique school brand image and utilize multiple channels for promotion. For example, they can produce high-quality enrollment brochures, posters, videos, and other materials to highlight the school's strengths, such as its faculty, teaching achievements, and campus environment. They can also establish official websites and social media accounts to regularly update information on school dynamics, teaching achievements, and student activities. They can also conduct offline promotional activities such as participating in education exhibitions, holding campus open days, and organizing enrollment consultation sessions to give students and parents a direct understanding of the school. They can also invite well-known education experts or engage in collaborative promotions to enhance the school's brand awareness and reputation.

[0003] However, in the current admissions strategy recommendation process, students can only access the official admissions websites of relevant institutions one by one to obtain the admissions strategies for each development direction. However, this query method makes it difficult for students to quickly and accurately find admissions strategies that match their own situation, resulting in students being unable to timely understand the high-quality admissions strategies of relevant institutions. Summary of the Invention

[0004] The present invention provides an enrollment strategy recommendation system and method to solve the technical problem that students can only obtain the enrollment strategies of corresponding colleges for various development directions through the official enrollment website, making it difficult for students to quickly and accurately find the enrollment strategy content that matches their own situation, thereby causing students to be unable to timely understand the high-quality enrollment strategies of relevant colleges.

[0005] To achieve the above-mentioned purpose and other related purposes, the present invention provides an enrollment strategy recommendation system, including: an acquisition unit for acquiring enrollment consultation data; a retrieval unit for generating a consultation retrieval formula based on the enrollment consultation data, and searching for enrollment institutions through the consultation retrieval formula to obtain corresponding institution enrollment information; an evaluation unit for retrieving student file information, conducting ability assessments on students in various development directions, and obtaining ability indicators corresponding to various development directions; and a recommendation unit for performing enrollment recommendation analysis through ability indicators and institution enrollment information to obtain a list of institution enrollment strategies, which includes enrollment strategies and corresponding recommendation ratings.

[0006] In one embodiment of the present invention, the retrieval unit includes: a splitting subunit for performing keyword splitting on the enrollment consultation data to obtain consultation keywords; a generating subunit for generating a retrieval consultation formula based on the consultation keywords, the retrieval consultation formula including the filled-in formula and the recommended optional formula corresponding to the consultation keywords; a formula sending subunit for extracting the recommended optional formula from the retrieval consultation formula, and sorting them in the order of formula popularity and sending them to the client system; and a query subunit for monitoring the filling information of the recommended optional formula fed back by the client, and generating a consultation retrieval formula based on the filled-in recommended optional formula and the filled-in formula, searching for enrollment institutions through the consultation retrieval formula, and obtaining the corresponding enrollment information of the institutions through the query.

[0007] In one embodiment of the present invention, the college enrollment information includes the enrollment colleges, the enrollment information corresponding to the consultation search formula, and the matching degree between the enrollment information and the enrollment consultation data; the query subunit generates a consultation search formula based on the filled-in recommended optional formula and the filled-in formula, searches for the enrollment colleges through the consultation search formula, and obtains the corresponding college enrollment information through the query, including: a first query module for calculating the first similarity between the enrollment consultation data and the filled-in formula as the matching degree when the recommended optional formula is empty, and when the matching degree reaches the set threshold, directly generates a consultation search formula based on the filled-in formula, and searches for the corresponding college enrollment information through the consultation search formula Conduct an enrollment school search, and obtain the corresponding enrollment schools and enrollment information corresponding to the consultation search formula; and a second query module, which is used to calculate the first similarity between the enrollment consultation data and the filled-in formula when the recommended optional formula is not empty, and calculate the formula ratio of the filled-in recommended optional formula in all recommended optional formulas, and calculate the matching degree according to the first similarity and the formula ratio. When the matching degree reaches the set threshold, generate a consultation search formula according to the filled-in recommended optional formula and the filled-in formula, and conduct an enrollment school search through the consultation search formula to obtain the corresponding enrollment schools and enrollment information corresponding to the consultation search formula.

[0008] In one embodiment of the present invention, the evaluation unit includes: a retrieval subunit, which is used to retrieve student file information based on user information corresponding to the enrollment consultation data; and a matching subunit, which is used to perform information matching query on the student file information based on the ability requirements of each development direction, obtain an ability combination feature set, and perform ability evaluation of the corresponding development direction based on the ability combination feature set, and calculate the ability indicators corresponding to each development direction.

[0009] In one embodiment of the present invention, the matching subunit includes: a feature extraction module, which is used to extract ability features from student file information to obtain the ability features existing in the student file information and construct an ability feature set; and an ability combination module, which is used to extract corresponding ability features from the ability feature set according to the ability requirements of each development direction and combine them, so as to calculate the ability indicators corresponding to each development direction through the ability combination feature set corresponding to each development direction after combination.

[0010] In one embodiment of the present invention, the capability combination module includes: an extraction submodule for extracting features from a capability feature set according to the capability requirements of each development direction; a first input submodule for inputting the same capability feature into the capability combination feature set when the same capability feature corresponding to the capability requirement is extracted; a second input submodule for querying similar capability features on the capability feature set when the same capability feature corresponding to the capability requirement is not extracted, and inputting the similar capability feature that has reached a set similarity and is closest to the capability requirement into the capability combination feature set; and an indicator calculation submodule for calculating the first feature value corresponding to the same capability feature in the capability combination feature set. , the first amplification weight corresponding to the same ability characteristics , the second eigenvalue corresponding to similar capability characteristics , the second amplification weight corresponding to similar ability characteristics , similarity values ​​between similar capability characteristics and capability requirements , and the reduction value of indicators that do not exist in the capability combination feature set and are necessary for capability requirements , calculate the capability index corresponding to each development direction .

[0011] In one embodiment of the present invention, the recommendation rating includes a strong recommendation rating and a weak recommendation rating; the recommendation unit includes: a demand index calculation subunit for obtaining the ability demand corresponding to the ability demand of the corresponding development direction according to the enrollment strategy corresponding to each development direction in the enrollment information of the college; ; Comparison subunit, used for each recruiting college, each development direction corresponding to the ability index and corresponding capacity demand indicators Compare; strongly recommend the evaluation subunit when there is at least one capability indicator corresponding to the development direction Greater than the corresponding capacity requirement index When the strong recommendation score is calculated, the corresponding strong recommendation evaluation score is obtained. , and based on the strong recommendation evaluation score Get the corresponding strong recommendation rating; weak recommendation evaluation sub-unit is used as the capability indicator corresponding to the development direction are all less than the corresponding capacity demand indicators When the weak recommendation score is calculated, the corresponding weak recommendation evaluation score is obtained. , and evaluate the score based on the weak recommendation Obtain the corresponding weak recommendation rating; and the school ranking subunit, which is used to rank the recruiting schools according to the strong recommendation rating and the weak recommendation rating to obtain a list of school recruitment strategies.

[0012] In one embodiment of the present invention, the strong recommendation evaluation subunit further includes: according to the capability index corresponding to each development direction, and capacity requirements indicators and the first score factor , calculate the strong recommendation score of the comprehensive development direction of the college enrollment information and obtain the strong recommendation evaluation score , according to the strong recommendation evaluation score Received a corresponding strong recommendation rating, among which, is the first basic score, Corresponding capability indicators for each development direction The first superposition weight of the weak recommendation evaluation subunit also includes: the ability indicators corresponding to each development direction in the process of calculating the weak recommendation rating. and capacity requirements indicators The difference between the indicators Monitor, when the indicator difference Less than the set difference When the index difference and the second scoring factor , calculate the weak recommendation score of the comprehensive development direction of the college enrollment information and obtain the weak recommendation evaluation score , based on the weak recommendation evaluation score Get the corresponding weak recommendation rating, where is the second basic score, Corresponding capability indicators for each development direction The second superposition weight of .

[0013] In one embodiment of the present invention, it also includes: an analysis unit, which is used to analyze the enrollment tendency of each college admission strategy in the college admission strategy list, obtain the tendency degree corresponding to the corresponding enrollment tendency, and send it to the client system; and a filtering unit, which is used to receive the updated selection information of the client system on the enrollment tendency, perform corresponding filtering processing on the college admission strategy list through the updated selection information, and send it to the client system.

[0014] In order to achieve the above-mentioned purpose and other related purposes, the present invention also provides an enrollment strategy recommendation method, including: obtaining enrollment consultation data through an acquisition unit; generating a consultation search formula based on the enrollment consultation data through a retrieval unit, and searching for enrollment institutions through the consultation search formula to obtain corresponding institution enrollment information; retrieving student file information through an evaluation unit, conducting an ability evaluation of students in various development directions, and obtaining ability indicators corresponding to each development direction; performing enrollment recommendation analysis using ability indicators and institution enrollment information through a recommendation unit to obtain a list of institution enrollment strategies, which includes enrollment strategies and corresponding recommendation ratings.

[0015] Beneficial effects of the present invention: The present invention proposes an enrollment strategy recommendation system and method, which generates a recommended optional form based on the filled-in form and sends it to the client system, thereby obtaining the user's enhanced search information based on the recommended optional form, so as to improve the search accuracy of the consultation search form, so that the school enrollment information obtained by the query better matches the user's consultation intention. Then, by analyzing the student file information, the ability indicators of each development direction of the relevant students are determined, so that the ability of each student in each development direction can be accurately determined. The ability indicators can also be further analyzed to obtain the corresponding recommendation rating, and based on the enrollment strategy recommendation after system optimization, the user is given guidance and assistance in enrollment registration for relevant schools. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be derived from these drawings without inventive effort.

[0017] In the attached figure:

[0018] Figure 1 A structural diagram of the enrollment strategy recommendation system provided by an embodiment of the present invention;

[0019] Figure 2 Shown is a flow chart of an enrollment strategy recommendation method provided by an embodiment of the present invention.

[0020] The reference numerals are as follows:

[0021] Acquisition unit 111; retrieval unit 112; evaluation unit 113; recommendation unit 114. DETAILED DESCRIPTION

[0022] The following describes the embodiments of the present invention through specific examples. Those skilled in the art will readily understand the other advantages and benefits of the present invention from the disclosure herein. The present invention may also be implemented or applied through various other specific embodiments. The details in this specification may be modified or altered based on different viewpoints and applications without departing from the spirit of the present invention. The following embodiments and features therein may be combined with one another without conflict.

[0023] It should be noted that the illustrations provided in the following embodiments are merely schematic illustrations of the basic concept of the present invention. The drawings only show components related to the present invention and are not drawn according to the number, shape, and size of components in actual implementation. In actual implementation, the type, quantity, and proportion of each component may be changed arbitrarily, and the component layout may also be more complex.

[0024] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the embodiments of the present invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring the embodiments of the present invention.

[0025] See also Figure 1 The present invention provides an enrollment strategy recommendation system, including: an acquisition unit 111, used to obtain enrollment consultation data; a retrieval unit 112, used to generate a consultation search formula based on the enrollment consultation data, and search for enrollment institutions through the consultation search formula to obtain corresponding institution enrollment information; an evaluation unit 113, used to retrieve student file information, evaluate students' abilities in various development directions, and obtain ability indicators corresponding to various development directions; and a recommendation unit 114, used to perform enrollment recommendation analysis through ability indicators and institution enrollment information to obtain a list of institution enrollment strategies, which includes enrollment strategies and corresponding recommendation ratings.

[0026] It is not difficult to find out from the above content that in the process of using the enrollment strategy recommendation system of the present invention to recommend the enrollment strategy of relevant colleges to the corresponding users, the enrollment consultation data sent by the client system can be first obtained by the acquisition unit 111. The enrollment consultation data mainly involves the query of the enrollment strategy of relevant colleges. For example, the client system can realize the accurate query of relevant enrollment colleges by entering "Which colleges can student xx apply for this year" and so on. Specifically, the corresponding consultation search formula is first generated based on the acquired enrollment consultation data by the retrieval unit 112 to find the corresponding college enrollment information. In addition, in order to improve the accuracy of the search, when searching using the consultation search formula, a corresponding recommended optional formula will be provided for the user to fill in, thereby improving the accuracy of the search for relevant enrollment colleges, and solving the problem that the search result range is too broad and it is difficult to locate the user's required information at one time because only the search formula corresponding to the user's question is used for searching. After obtaining the school enrollment information through the retrieval unit 112, in order to further facilitate the visual display of the school enrollment information on the client system, the evaluation unit 113 will first evaluate the ability of the relevant students in various development directions based on the student profile information, so as to determine their ability indicators in the development direction corresponding to each enrollment strategy. Then, the recommendation unit 114 uses the ability indicators in each development direction to perform school recommendation analysis, so as to analyze and obtain a list of school enrollment strategies recommended by the system. Through the client system, users can clearly understand the enrollment strategies of the enrollment schools recommended for the relevant students and the recommended ratings of the enrollment schools under the enrollment strategies, so as to help users provide registration guidance based on the system recommendations.

[0027] In the enrollment strategy recommendation system of the present invention, the retrieval unit 112 may further include: a splitting sub-unit, which is used to perform keyword splitting on the enrollment consultation data to obtain consultation keywords; a generating sub-unit, which is used to generate a retrieval consultation formula based on the consultation keywords, and the retrieval consultation formula includes the filled-in formula and the recommended optional formula corresponding to the consultation keywords; a formula sending sub-unit, which is used to extract the recommended optional formula in the retrieval consultation formula, and send it to the client system after sorting it in the order of formula popularity; and a query sub-unit, which is used to monitor the filling information of the recommended optional formula fed back by the client, and generate a consultation retrieval formula based on the filled-in recommended optional formula and the filled-in formula, search for enrollment institutions through the consultation retrieval formula, and obtain the corresponding enrollment information of the institutions through the query.

[0028] When using the search unit 112 to query the enrollment information of colleges and universities, the splitting sub-unit will first split the enrollment consultation data initiated by the user by keywords to determine the filled-in formula in the consultation keywords. In order to further improve the search accuracy, the generation sub-unit can also further extract the recommended optional formula for the consultation keywords after adding the filled-in formula to the consultation keywords, and then send the recommended optional formula to the client system, so that the user can automatically provide search assistance when the user does not understand the consultation keywords, thereby further supplementing the search by filling in relevant information into the recommended optional formula, thereby improving the accuracy of the generated consultation search formula for the retrieval of relevant college enrollment information.

[0029] Among them, the school enrollment information includes the enrolling schools, the enrollment information corresponding to the consultation search formula, and the matching degree between the enrollment information and the enrollment consultation data.

[0030] Specifically, the query subunit generates a consulting search formula based on the filled-in recommended optional formula and the filled-in formula, searches for enrollment institutions through the consulting search formula, and obtains the corresponding enrollment information of the institutions through the query, which may further include: a first query module, which is used to calculate the first similarity between the enrollment consultation data and the filled-in formula as the matching degree when the recommended optional formula is empty, and directly generates a consulting search formula based on the filled-in formula when the matching degree reaches the set threshold, searches for enrollment institutions through the consulting search formula, and obtains the corresponding enrollment institutions and the information related to the consulting. Admissions information corresponding to the search formula; and a second query module, which is used to calculate the first similarity between the admissions consultation data and the filled-in formula when the recommended optional formula is not empty, and calculate the formula ratio of the filled-in recommended optional formula in all recommended optional formulas, and calculate the matching degree according to the first similarity and the formula ratio. When the matching degree reaches the set threshold, a consulting search formula is generated according to the filled-in recommended optional formula and the filled-in formula, and the admissions institutions are searched through the consulting search formula to obtain the corresponding admissions institutions and the admissions information corresponding to the consulting search formula.

[0031] In the process of using the query subunit to query the enrollment information of colleges and universities, the first query module can first determine the matching degree between the enrollment consultation data and the filled-in content of the filled-in content by directly calculating the first similarity between the enrollment consultation data and the filled-in content when determining that the recommended optional form is empty, that is, according to the first similarity between the enrollment consultation data and the filled-in content, the matching degree between the enrollment consultation data and the filled-in content is determined. And the first similarity The corresponding first matching factor , the corresponding matching degree can be determined When the matching degree When the set threshold is reached, it means that the current enrollment consultation data can be used to recommend enrollment strategies. Therefore, the information corresponding to the filled-in formula can be directly used to generate a consultation search formula, and the enrollment institutions can be searched through the consultation search formula to obtain the corresponding enrollment institutions and the enrollment information corresponding to the consultation search formula. It is worth noting that the recommended optional formula can be empty if it is the current filled-in formula to meet the consultation search requirements of the relevant consultation search formula. When the recommended optional formula is not empty, the first similarity between the enrollment consultation data and the filled-in formula can be calculated through the second query module. , and calculate the proportion of the recommended optional formulas filled in among all the recommended optional formulas , according to the first similarity and the proportion of important forms , calculate the matching degree ,in, The first similarity The corresponding first matching factor, The proportion of important formulas The corresponding second matching factor. Of course, the matching degree is calculated in the second query module In the process, it is based on the situation that some of the key words have been filled in. By using the feedback filling information of adding recommended optional key words, the two parts of the key words can be effectively combined to improve the retrieval ability of the retrieval formula.

[0032] In the enrollment strategy recommendation system of the present invention, the evaluation unit 113 may further include: a retrieval sub-unit, used to retrieve student file information based on user information corresponding to the enrollment consultation data; and a matching sub-unit, used to perform information matching query on student file information according to the ability requirements of each development direction, obtain an ability combination feature set, and perform ability evaluation of the corresponding development direction based on the ability combination feature set, and calculate the ability indicators corresponding to each development direction.

[0033] When using the evaluation unit 113 to evaluate the ability indicators of each development direction of the student, the student file information can be retrieved according to the user information corresponding to the enrollment consultation data by calling the sub-unit. For example, when logging in through the client system, the account real-name authentication information corresponding to the corresponding account number and password will be used to determine the relevant user information. Of course, the user information can also be the relevant information manually filled in by the user after logging into the client system. For example, when manually filling in the student-related information, the user can also manually enter the real-name authentication information into the enrollment strategy recommendation system and complete the verification to serve as the corresponding user information. Then, after obtaining the user information, the student file information corresponding to the user information will be further retrieved. The student file information can be the user information after the relevant student real-name authentication, further filled in and uploaded to the enrollment strategy recommendation system with the student's academic performance information, various learning skills information, competition award information, etc. corresponding to the user information in the past years. Of course, it can also include other learning-related file information that can be used to evaluate the student's ability. When retrieving the student file information, it can be directly retrieved in the enrollment strategy recommendation system by using the user information. The matching subunit can then be used to perform information matching queries on student profile information based on the ability requirements of each development direction. This allows the identification of the corresponding ability combination feature set in the student profile information, that is, the set of ability features corresponding to the ability requirements of each development direction. For example, the development direction of the admissions strategy for a certain major may require abilities such as drawing skills, spatial imagination, and mechanical expertise. Therefore, an ability combination feature set based on multiple ability features can be used to conduct ability assessments for the corresponding development direction, thereby obtaining the ability indicators corresponding to each development direction.

[0034] Among them, the matching sub-unit may further include: a feature extraction module, which is used to extract ability features from student file information to obtain the ability features existing in the student file information and construct an ability feature set; and an ability combination module, which is used to extract corresponding ability features from the ability feature set according to the ability requirements of each development direction and combine them, so as to calculate the ability indicators corresponding to each development direction through the ability combination feature set corresponding to each development direction after combination.

[0035] In the process of using the matching sub-unit to match various ability features to calculate the corresponding ability indicators, the feature extraction module first extracts the ability features of the student file information, so that the relevant ability features can be extracted, and based on the extracted ability features, an ability feature set is constructed for combined calling. Specifically, the ability combination module uses the ability requirements of each development direction to realize the extraction and combination of each relevant ability feature in the ability feature set, so as to use the extracted ability features to form an ability combination feature set corresponding to different development directions, and then each ability combination feature set can be further used to calculate the ability indicators of the corresponding development direction, so as to realize the recommendation analysis of colleges and universities through ability indicators, to generate recommendation ratings of relevant enrollment colleges and universities, and to help recommend enrollment strategies to relevant users during enrollment registration.

[0036] Specifically, the capability combination module may further include: an extraction submodule for extracting features from the capability feature set according to the capability requirements of each development direction; a first input submodule for inputting the same capability feature into the capability combination feature set when the same capability feature corresponding to the capability requirement is extracted; a second input submodule for querying similar capability features on the capability feature set when the same capability feature corresponding to the capability requirement is not extracted, and inputting the similar capability feature that has reached the set similarity and is closest to the capability requirement into the capability combination feature set; and an indicator calculation submodule for calculating the first feature value corresponding to the same capability feature in the capability combination feature set. , the first amplification weight corresponding to the same ability characteristics , the second eigenvalue corresponding to similar capability characteristics , the second amplification weight corresponding to similar ability characteristics , similarity values ​​between similar capability characteristics and capability requirements , and the reduction value of indicators that do not exist in the capability combination feature set and are necessary for capability requirements , calculate the capability index corresponding to each development direction .

[0037] In the process of calculating the capability indicators corresponding to each development direction using the capability combination module according to the capability combination feature set, the corresponding capability features are first extracted in advance from the constructed capability feature set according to the capability requirements of each development direction through the extraction submodule. When extracting features, there will be identical capability features corresponding to the capability requirements. In order to ensure the comprehensiveness and accuracy of the capability indicator calculation, similar capability features will be further extracted from the capability feature set when there are no identical capability features. That is to say, there will be a certain deviation between the extracted similar capability features and the identical capability features and the capability requirements. Therefore, the first input submodule can be used first. When the identical capability features corresponding to the capability requirements are extracted, the relevant identical capability features can be directly put into the capability combination feature set. In the corresponding feature vacancy of the capability combination feature set, if the same capability feature corresponding to the capability requirement is not extracted, the capability feature that reaches the set similarity can be further searched, and when there is more than one capability feature that reaches the set similarity, the similar capability feature closest to the capability requirement or corresponding to the maximum similarity is input into the capability combination feature set. At the same time, the similar capability features in the capability combination feature set also have the similarity value between them and the corresponding capability requirement. Then, the indicator calculation submodule is used to calculate the first feature value corresponding to the same capability feature in the capability combination feature set. , the first amplification weight corresponding to the same ability characteristics , the second eigenvalue corresponding to similar capability characteristics , the second amplification weight corresponding to similar ability characteristics , similarity values ​​between similar capability characteristics and capability requirements At the same time, when extracting capability features according to the capability requirements of each development direction, there are also cases where no capability features are extracted. Therefore, there are also reduction values ​​for indicators that do not exist in the capability combination feature set and are necessary for capability requirements. , and then based on the above parameters, the capability indicators corresponding to each development direction can be realized The calculation formula can be expressed as .

[0038] In addition, the recommendation rating includes a strong recommendation rating and a weak recommendation rating.

[0039] In the enrollment strategy recommendation system of the present invention, the recommendation unit 114 includes: a demand index calculation subunit for obtaining the ability demand index corresponding to the ability demand of the corresponding development direction according to the enrollment strategy corresponding to each development direction in the enrollment information of the college; ; Comparison subunit, used for each recruiting college, each development direction corresponding to the ability index and corresponding capacity demand indicators Compare; strongly recommend the evaluation subunit when there is at least one capability indicator corresponding to the development direction Greater than the corresponding capacity requirement index When the strong recommendation score is calculated, the corresponding strong recommendation evaluation score is obtained. , and based on the strong recommendation evaluation score Get the corresponding strong recommendation rating; weak recommendation evaluation sub-unit is used as the capability indicator corresponding to the development direction are all less than the corresponding capacity demand indicators When the weak recommendation score is calculated, the corresponding weak recommendation evaluation score is obtained. , and evaluate the score based on the weak recommendation Obtain the corresponding weak recommendation rating; and the school ranking subunit, which is used to rank the recruiting schools according to the strong recommendation rating and the weak recommendation rating to obtain a list of school recruitment strategies.

[0040] The recommendation unit 114 can mainly calculate the strong recommendation rating and the weak recommendation rating in the process of calculating the recommendation rating and generating the list of college enrollment strategies. Specifically, the demand index calculation subunit can first use the enrollment strategy corresponding to each development direction in the college enrollment information to obtain the ability demand index corresponding to the ability demand of the corresponding development direction. Among them, the capability requirement index It can be obtained by manual calibration based on the enrollment strategy. Of course, it can also be obtained by first training a large number of enrollment strategy sets and capacity demand indicators as training sets to obtain the indicator prediction model, and then predicting the enrollment strategy through the indicator prediction model to obtain the corresponding capacity demand indicators. After obtaining the capacity demand indicator Afterwards, by comparing the sub-units for each recruiting institution, the ability indicators corresponding to each development direction are and corresponding capacity demand indicators Compare it to determine whether it is a strong recommendation rating, a weak recommendation rating, or cannot be rated. Less than the capacity requirement index When the capability index and capacity requirements indicators When the difference between the two is greater than the set value, it means that the recommendation rating is too low. In order to reduce the system load, the recommendation rating calculation can be omitted and only the strong recommendation rating and weak recommendation rating can be calculated. Specifically, the strong recommendation evaluation subunit can be used to achieve the ability index corresponding to at least one development direction. Greater than the corresponding capacity requirement index When the strong recommendation score is used, the corresponding strong recommendation evaluation score can be obtained by calculating the strong recommendation score. , and then, through the strong recommendation evaluation score To further search and obtain the corresponding strong recommendation rating.

[0041] Similarly, the capability indicators corresponding to the development direction of the sub-unit can be evaluated through weak recommendation are all less than the corresponding capacity demand indicators When the weak recommendation score is calculated, the corresponding weak recommendation evaluation score is obtained , and then evaluate the score through weak recommendation To further find the corresponding weak recommendation rating.

[0042] Finally, the strong recommendation rating and weak recommendation rating are used through the school ranking sub-unit to rank the recruiting schools, and a list of school recruitment strategies can be further generated to recommend to relevant users for reference.

[0043] Among them, the strong recommendation evaluation sub-unit also includes: according to the capability indicators corresponding to each development direction in the process of calculating the strong recommendation rating and capacity requirements indicators and the first score factor , calculate the strong recommendation score of the comprehensive development direction of the college enrollment information and obtain the strong recommendation evaluation score , according to the strong recommendation evaluation score Received a corresponding strong recommendation rating, among which, is the first basic score, Corresponding capability indicators for each development direction The first superposition weight of the weak recommendation evaluation subunit also includes: the ability indicators corresponding to each development direction in the process of calculating the weak recommendation rating. and capacity requirements indicators The difference between the indicators Monitor, when the indicator difference Less than the set difference When the index difference and the second scoring factor , calculate the weak recommendation score of the comprehensive development direction of the college enrollment information and obtain the weak recommendation evaluation score , based on the weak recommendation evaluation score Get the corresponding weak recommendation rating, where is the second basic score, Corresponding capability indicators for each development direction The second superposition weight of the strong recommendation rating is mainly based on the ability indicators. Greater than capacity requirements The weak recommendation rating is mainly based on the ability indicators Less than the capacity requirement index , but with the capacity demand index Relatively close situations can also be used as a reference for relevant users to ensure the comprehensiveness of the recommended enrollment strategies.

[0044] The enrollment strategy recommendation system of the present invention also includes: an analysis unit, which is used to analyze the enrollment tendency of each college enrollment strategy in the college enrollment strategy list, obtain the tendency degree corresponding to the corresponding enrollment tendency, and send it to the client system; and a filtering unit, which is used to receive the updated selection information of the client system on the enrollment tendency, perform corresponding filtering processing on the college enrollment strategy list through the updated selection information, and send it to the client system.

[0045] After generating the list of school enrollment strategies, in order to better meet user needs, the analysis module will also analyze the corresponding enrollment trends in each school enrollment strategy in the school enrollment strategy list, thereby obtaining the enrollment trends and the corresponding propensity levels of the enrollment trends. This allows the user to adjust the enrollment strategy generation range of the school enrollment strategy list based on the propensity level of each enrollment trend, and filter the school enrollment strategy list required by the user through the filtering unit, and send it to the client system for the user to refer to for enrollment strategies.

[0046] Please refer to 2. The present invention also provides an enrollment strategy recommendation method, including: obtaining enrollment consultation data through an acquisition unit 111; generating a consultation search formula based on the enrollment consultation data through a retrieval unit 112, and searching for enrollment institutions through the consultation search formula to obtain corresponding institution enrollment information; retrieving student file information through an evaluation unit 113, conducting an ability evaluation of students in various development directions, and obtaining ability indicators corresponding to various development directions; performing enrollment recommendation analysis using ability indicators and institution enrollment information through a recommendation unit 114, and obtaining a list of institution enrollment strategies, which includes enrollment strategies and corresponding recommendation ratings.

[0047] In summary, the present invention discloses an enrollment strategy recommendation system and method, which generates a recommended optional formula based on the filled-in formula and sends it to the client system, so that the user's enhanced search information can be obtained according to the recommended optional formula, so as to improve the search accuracy of the consultation search formula, so that the school enrollment information obtained by the query better matches the user's consultation intention. Then, by analyzing the student file information, the ability indicators of each development direction of the relevant students are determined, so that the ability of each student in each development direction can be accurately determined. The ability indicators can also be further analyzed to obtain the corresponding recommendation rating, and based on the enrollment strategy recommendation after system optimization, the user is given guidance and assistance in enrollment registration for relevant schools. Therefore, the present invention effectively overcomes the various shortcomings in the existing technology and has a high industrial utilization value.

[0048] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the present invention. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by one of ordinary skill in the art without departing from the spirit and technical principles disclosed herein are intended to be covered by the claims of the present invention.

Claims

1. An enrollment strategy recommendation system, characterized in that: include: An acquisition unit, used to acquire enrollment consultation data; A search unit is used to generate a consultation search formula based on the enrollment consultation data, and search for enrollment institutions using the consultation search formula to obtain corresponding enrollment information of the institutions; The evaluation unit is used to retrieve student file information, evaluate students' abilities in various development directions, and obtain ability indicators corresponding to each development direction; as well as The recommendation unit is used to perform enrollment recommendation analysis based on the ability indicators and the enrollment information of the colleges and universities to obtain a list of college enrollment strategies, wherein the list of college enrollment strategies includes enrollment strategies and corresponding recommendation ratings.

2. The enrollment strategy recommendation system according to claim 1, characterized in that: The retrieval unit includes: A splitting subunit, configured to perform keyword splitting on the enrollment consultation data to obtain consultation keywords; A generating subunit, configured to generate a search query formula according to the query keyword, wherein the search query formula includes a filled-in formula and a recommended optional formula corresponding to the query keyword; A formula sending subunit is used to extract the recommended optional formulas from the search and consultation formulas, sort them according to the popularity of the formulas, and then send them to the client system; and The query sub-unit is used to monitor the filled-in information of the recommended optional form fed back by the client, and generate the consultation search formula based on the filled-in recommended optional form and the filled-in form, search for enrolling institutions through the consultation search formula, and obtain the corresponding institution enrollment information.

3. The enrollment strategy recommendation system according to claim 2, characterized in that: The school enrollment information includes the enrolling school, the enrollment information corresponding to the query search formula, and the matching degree between the enrollment information and the enrollment consultation data; The query subunit generates the consultation search formula based on the filled-in recommended optional formula and the filled-in formula, searches for recruiting institutions using the consultation search formula, and obtains the corresponding institution recruitment information, including: A first query module is configured to calculate, when the recommended optional formula is empty, a first similarity between the enrollment consultation data and the filled-in formula as the matching degree; when the matching degree reaches a set threshold, directly generate the consultation search formula based on the filled-in formula, search for enrollment institutions using the consultation search formula, and obtain the corresponding enrollment institutions and enrollment information corresponding to the consultation search formula; as well as The second query module is used to calculate the first similarity between the enrollment consultation data and the filled-in formula when the recommended optional formula is not empty, and calculate the formula ratio of the filled-in recommended optional formula in all the recommended optional formulas, and calculate the matching degree according to the first similarity and the formula ratio. When the matching degree reaches the set threshold, the consultation search formula is generated according to the filled-in recommended optional formula and the filled-in formula, and the enrollment institutions are searched through the consultation search formula to obtain the corresponding enrollment institutions and the enrollment information corresponding to the consultation search formula.

4. The enrollment strategy recommendation system according to claim 1, characterized in that: The evaluation unit comprises: a retrieval subunit, configured to retrieve student file information based on user information corresponding to the enrollment consultation data; and The matching subunit is used to perform information matching query on the student file information according to the ability requirements of each development direction, obtain an ability combination feature set, and perform ability assessment of the corresponding development direction based on the ability combination feature set, and calculate the ability indicators corresponding to each development direction.

5. The enrollment strategy recommendation system according to claim 4, characterized in that: The matching subunit includes: a feature extraction module, configured to extract capability features from the student profile information to obtain capability features present in the student profile information and construct a capability feature set; and The capability combination module is used to extract corresponding capability features from the capability feature set and combine them according to the capability requirements of each development direction, so as to calculate the capability indicators corresponding to each development direction through the capability combination feature set corresponding to each development direction after combination.

6. The enrollment strategy recommendation system according to claim 5, characterized in that: The capability combination module includes: An extraction submodule, configured to extract features from the capability feature set according to the capability requirements of each development direction; A first input submodule is configured to input the same capability feature into the capability combination feature set when the same capability feature corresponding to the capability requirement is extracted; A second input submodule is configured to, when the same capability feature corresponding to the capability requirement is not extracted, perform a similar capability feature query on the capability feature set, and input the similar capability feature found to have a set similarity and is closest to the capability requirement into the capability combination feature set; and The indicator calculation submodule is used to calculate the first characteristic value corresponding to the same capability characteristic in the capability combination characteristic set. , the first amplification weight corresponding to the same capability feature , the second feature value corresponding to the similar capability feature , the second amplification weight corresponding to the similar ability characteristics , the similarity value between the similar capability characteristics and the capability requirements , and the reduction value of the indicator that does not exist in the capability combination feature set and is necessary for the capability requirement , calculate the capability index corresponding to each development direction .

7. The enrollment strategy recommendation system according to claim 1, characterized in that: The recommendation rating includes a strong recommendation rating and a weak recommendation rating; The recommendation unit includes: The demand index calculation subunit is used to obtain the ability demand index corresponding to the ability demand of the corresponding development direction according to the enrollment strategy corresponding to each development direction in the enrollment information of the college. ; The comparison sub-unit is used to compare the ability indicators corresponding to each development direction for each recruiting institution. and the corresponding capability requirement indicators Make comparisons; Strong recommendation evaluation subunit, used when there is at least one capability indicator corresponding to the development direction Greater than the corresponding capacity requirement index When the strong recommendation score is calculated, the corresponding strong recommendation evaluation score is obtained. , and based on the strong recommendation evaluation score Obtain the corresponding strong recommendation rating; Weak recommendation evaluation subunit, used when the capability indicator corresponding to the development direction are all less than the corresponding capacity requirement indicators When the weak recommendation score is calculated, the corresponding weak recommendation evaluation score is obtained. , and evaluate the score based on the weak recommendation Obtaining the corresponding weak recommendation rating; and The school ranking subunit is used to rank the recruiting schools according to the strong recommendation rating and the weak recommendation rating to obtain the school recruitment strategy list.

8. The enrollment strategy recommendation system according to claim 7, characterized in that: The strong recommendation evaluation subunit also includes, in the process of calculating the strong recommendation rating,: and the capacity requirement indicators and the first score factor , calculate the strong recommendation score of the comprehensive development direction of the college enrollment information and obtain the strong recommendation evaluation score , according to the strong recommendation evaluation score Get the corresponding strong recommendation rating, where is the first basic score, Corresponding capability indicators for each development direction The first superposition weight of The weak recommendation evaluation subunit also includes: evaluating the capability index corresponding to each development direction in the process of calculating the weak recommendation rating. and the capacity requirement indicators The difference between the indicators Monitor, when the indicator difference Less than the set difference When the difference between the indicators and the second scoring factor , perform weak recommendation scoring calculation on the comprehensive development direction of the college enrollment information to obtain the weak recommendation evaluation score , according to the weak recommendation evaluation score Get the corresponding weak recommendation rating, where: is the second basic score, Corresponding capability indicators for each development direction The second superposition weight of .

9. The enrollment strategy recommendation system according to claim 1, characterized in that: Also includes: An analysis unit is used to analyze the enrollment tendency of each college enrollment strategy in the college enrollment strategy list, obtain the tendency degree corresponding to the corresponding enrollment tendency, and send it to the client system; as well as The filtering unit is used to receive the updated selection information of the client system on the enrollment tendency, and after filtering the list of enrollment strategies of the colleges and universities according to the updated selection information, send it to the client system.

10. A method for recommending enrollment strategies, characterized in that: include: Obtain admissions consultation data through the acquisition unit; Generate a consultation search formula based on the enrollment consultation data through a search unit, and search for enrollment institutions through the consultation search formula to obtain corresponding enrollment information of the institutions; The assessment unit retrieves student file information, conducts ability assessment on students in various development directions, and obtains the ability indicators corresponding to each development direction; The recommendation unit uses the ability indicators and the school enrollment information to perform enrollment recommendation analysis to obtain a school enrollment strategy list, which includes enrollment strategies and corresponding recommendation ratings.

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