CN117408843A - User end-to-end intelligent service system based on public service - Google Patents

User end-to-end intelligent service system based on public service Download PDF

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CN117408843A
CN117408843A CN202310914985.8A CN202310914985A CN117408843A CN 117408843 A CN117408843 A CN 117408843A CN 202310914985 A CN202310914985 A CN 202310914985A CN 117408843 A CN117408843 A CN 117408843A
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朱全球
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Zhengqi Group Co ltd
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Abstract

The invention discloses a public service-based user end-to-end intelligent service system, which relates to the technical field of intelligent service.

Description

User end-to-end intelligent service system based on public service
Technical Field
The invention relates to the technical field of intelligent service, in particular to a public service-based user end-to-end intelligent service system.
Background
The current education intelligent service system is particularly intelligent and good in use, can help users to widely and comprehensively know information of each school, can help users to better select own thought, obtain schools which are more suitable for learning and development of the users, can better improve subsequent learning and development of the users, can enable the users to obtain very comprehensive learning knowledge and further improve the users, is extremely efficient in use efficiency of the education intelligent service system, can timely obtain feedback, can help the users to save quite much time and energy, and effectively helps the users to obtain intelligent teaching selection experience.
The current knowledge of the schools is also used for the form of common visiting and inquiring surrounding people, the knowledge of the form is very time-consuming and troublesome, much effort is consumed by the masses, the efficiency is very insignificant, the masses cannot be helped to fully and deeply understand the basic conditions of the schools, the mode is shallow, the knowledge is possibly incomplete to a certain extent, the final selection result is inconsistent with the actual ideas of the schools, the students cannot fully learn and grow and develop space for the schools, the application cannot be improved, certain learning enthusiasm is reduced, the subsequent learning and development of the schools cannot be realized, and on the other hand, the user only can roughly inquire the schools through a network, does not fully learn the schools, the information of the schools cannot be obtained in the mode, the schools cannot be fully selected to be attached to the schools, the subsequent learning and the learning potential of the schools cannot be well stimulated.
Disclosure of Invention
In view of the above-mentioned technical shortcomings, the present invention aims to provide a public service-based user end-to-end intelligent service system.
In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides a public service-based user end-to-end intelligent service system, which comprises: the school information acquisition module is used for acquiring basic information of each school evaluation, wherein the basic information comprises the number of teachers, the number of students and the area of the schools;
the school information analysis module is used for acquiring basic information of each school evaluation, and further analyzing and obtaining the overall evaluation coefficient of each school;
the user feedback analysis module is used for acquiring evaluation information of each user of each school and browsing times of the official network, and further analyzing and obtaining the evaluation coefficient of each school;
the user selection module is used for arranging the selection evaluation coefficients corresponding to the schools according to a descending order so as to obtain the ranks corresponding to the schools, sending the ranks to the user terminal, and selecting by the user so as to obtain the target schools corresponding to the user;
the qualification analysis module is used for acquiring the number of excellent teachers, the number of rewards and the ranking of schools corresponding to each target school, and further analyzing and obtaining qualification evaluation coefficients corresponding to each target school;
the interest analysis module is used for acquiring interest types corresponding to the users, the number of people and the establishment time corresponding to each interest community in each target school, and further analyzing and obtaining atmosphere matching coefficients corresponding to the users and each target school;
the school screening module is used for obtaining the score corresponding to the user and the preset expense amount, analyzing and obtaining the matching degree corresponding to each target school by the user, and screening each recommended school corresponding to the user;
and the display terminal is used for displaying the recommended schools corresponding to the users.
Preferably, the analysis obtains the overall evaluation and assessment coefficient of each school, and the specific analysis process is as follows:
by calculation formulaAnalyzing and obtaining the overall evaluation coefficient epsilon of each school i ，x i ，n i ，s i The number of teachers, the number of students, and the area of schools, respectively, i denotes the number of each school, i=1.2 1 、a 2 、a 3 The weight factors are respectively expressed as preset teacher number, student number and school area, and the weight factors x ', n ' and s ' are respectively expressed as preset teacher number, student number and school area of each school.
Preferably, the analysis obtains the evaluation coefficient of each school, and the specific analysis process is as follows:
by calculation ofAnalysis to obtain the evaluation coefficient u of each school i ，σ 1 、σ 2 Weight factors respectively expressed as preset user evaluation information of schools and official web browsing times, +.>θ i User evaluation information and official website browsing times respectively expressed as the jth of the ith school, i represents the number of each school, i=1.2....m., i=1.2. Once again, m is chosen>θ′ i The user evaluation information and the web browsing times of each school are respectively set.
Preferably, the selection evaluation coefficients corresponding to each school are analyzed, and the specific analysis process is as follows:
by calculation formulaAnalyzing to obtain corresponding selection evaluation coefficients of each schoolε i 、u i The i-th school overall evaluation coefficient and the evaluation coefficient of each school are respectively represented, i represents the number of each school, i=1.2 1 、c 2 The weight factors are respectively expressed as the preset overall evaluation and evaluation coefficients of each school and the evaluation coefficients of each school.
Preferably, the analysis obtains qualification evaluation coefficients corresponding to each target school, so as to judge the amount of master and slave corresponding to each target school, and the specific analysis process is as follows:
by calculation formulaAnalyzing to obtain qualification evaluation coefficient lambda corresponding to each target school r ，N r 、P r 、H r Respectively representing the number of excellent teachers, the number of awards and the school rank corresponding to the r-th target schools, wherein r represents the number of each target school, r=1.2. The number of the combination of d, N ', P ', H ' are respectively expressed as the number of excellent teachers, the number of awards and the school rank corresponding to each preset target school, v 1 、ν 2 And respectively representing the number of excellent teachers, the number of rewards and the weight factors of school ranks corresponding to the preset target schools.
Preferably, the analysis obtains an atmosphere matching coefficient corresponding to each target school by the user, so as to judge each target school which is more suitable for the interest development of the child, and the specific analysis process is as follows:
comparing the interest type corresponding to the user with each interest community in each target school, and if the interest type corresponding to the user is the same as the interest obtained by a certain interest community in a certain target school, taking the interest community in the target school as a target interest community, so as to obtain target interest communities in each target school in this way, and further extracting the number of people and the establishment time corresponding to the target interest communities in each target school;
by calculation formulaAnalyzing to obtain atmosphere matching coefficient +.>Y r 、A r The number of people and the establishment time corresponding to the interest communities of the r-th target school are respectively expressed, r is the number of each target school, r=1.2. The number of the combination of d, Y 'and A' are respectively expressed as the number of people corresponding to each interest community and the establishment time, m 1 、m 2 The weight factors are respectively expressed as the number of people corresponding to each preset interest community and the establishment time.
Preferably, the analysis obtains the matching degree of the user corresponding to each target school, and then screens out each recommended school corresponding to the user, and the specific analysis process is as follows:
by calculation formulaAnalyzing to obtain the matching degree beta of the user corresponding to each target school r ，ω r 、f r 、/>λ r The atmosphere matching coefficient, the score, the preset consumption amount and the qualification evaluation coefficient corresponding to each target school are respectively expressed as an atmosphere matching coefficient, a score, a preset consumption amount and a qualification evaluation coefficient corresponding to each target school, wherein r is expressed as the number of each target school, and r=1.2> Respectively expressed as atmosphere matching coefficients corresponding to the user and each target school, scores corresponding to the user, weight factors of preset consumption amount, f',/and the like>Respectively representing the corresponding score of the user and the weight factor of the preset consumption amount;
comparing the matching degree of the user corresponding to each target school with a preset matching threshold value of the user corresponding to each target school, if the priority evaluation coefficient threshold value of a certain target school is smaller than or equal to the matching threshold value corresponding to each target school, taking the target school as a recommended school corresponding to the user, and if the priority evaluation coefficient threshold value of a certain target school is larger than the matching threshold value corresponding to each target school, taking the target school not as the recommended school corresponding to the user, and obtaining each recommended school corresponding to the screened user in the mode.
Preferably, the system further comprises a database, wherein the database is used for storing basic information of each school, including the number of teachers, the number of students, the area of the school, evaluation information of each user, the number of browsing times of each school officer, the number of excellent teachers, the number of rewards, the ranking of schools, the number of people corresponding to each interest community, the establishment time, the entrance score and the average consumption amount.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention provides a public service-based user end-to-end intelligent service system, which better analyzes the whole environment of a school through acquiring school information, so that a user can obtain visual feeling, further, through evaluation of some users and browsing times of a official network, further, a selectable target school can be better obtained, further, through understanding of school qualification, the teaching capital of the school is better known, and further, through analysis of school interest, the school of a cardiometer is obtained through screening, thereby entering into and further better improving the school, solving the defects existing in the prior art, helping the user to obtain more intelligent service, saving time and energy consumed by the user to a certain extent, greatly improving the efficiency of the user, enabling the user to obtain intelligent help of comprehensive intelligent education, and better improving and developing oneself.
2. According to the invention, through deep analysis of the selection evaluation coefficients corresponding to each school in the user selection module, the user can be helped to better obtain the optional target school, the user can save certain time and energy, unnecessary and complicated processes are omitted, the user is simplified, the user can better experience the intelligent education selection feeling, and the method is particularly portable and easy to use.
3. According to the invention, the corresponding qualification evaluation coefficients of all target schools are deeply analyzed in the qualification analysis module, so that a user is better helped to know the teaching and learning forces of all schools better, and better preferential selection is performed, so that the user can obtain better education, rich knowledge and school experience skills can be drawn, and the maximum potential of the user can be brought into play, and better learning results are obtained.
4. According to the invention, the corresponding atmosphere matching coefficients are deeply analyzed in the interest analysis module, so that the corresponding learning atmosphere can be better known, and thus, better judgment and selection can be performed, a user can conveniently obtain a better learning environment, the interests and hobbies of the user can be better expanded, the development of the whole aspects is performed, and better growth is obtained.
5. According to the invention, the matching degree of the user corresponding to each target school is deeply analyzed in the school screening module, so that the school which is most suitable for the user is better obtained, the school is more fit and practical, the learning development of the user is more facilitated, and the learning enthusiasm of the user can be better stimulated.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the system structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a public service-based user end-to-end intelligent service system includes a school information acquisition module, a school information analysis module, a user feedback analysis module, a user selection module, a qualification analysis module, an interest analysis module, a school screening module, a display terminal and a database.
The database is respectively connected with the school information acquisition module and the school information analysis module, the school information analysis module is respectively connected with the user feedback analysis module and the user selection module, and the qualification analysis module is respectively connected with the interest analysis module, the school screening module and the display terminal.
The school information acquisition module is used for acquiring basic information of each school evaluation, wherein the basic information comprises the number of teachers, the number of students and the area of the schools;
the school information analysis module is used for acquiring basic information of each school evaluation, and further analyzing and obtaining the overall evaluation coefficient of each school;
as an alternative implementation manner, the analysis obtains the overall evaluation coefficient of each school, and the specific analysis process is as follows:
by calculation formulaAnalyzing and obtaining the overall evaluation coefficient epsilon of each school i ，x i ，n i ，s i The number of teachers, the number of students, and the area of schools, respectively, i denotes the number of each school, i=1.2 1 、a 2 、a 3 The weight factors are respectively expressed as preset teacher number, student number and school area, and the weight factors x ', n ' and s ' are respectively expressed as preset teacher number, student number and school area of each school.
The user feedback analysis module is used for acquiring evaluation information of each user of each school and browsing times of the official network, and further analyzing and obtaining the evaluation coefficient of each school;
the user evaluation information may be known from the forum of each school.
As an alternative embodiment, the analysis obtains the evaluation coefficient of each school, and the specific analysis process is as follows:
by calculation ofAnalysis to obtain the evaluation coefficient u of each school i ，σ 1 、σ 2 Weight factors respectively expressed as preset user evaluation information of schools and official web browsing times, +.>θ i User evaluation information and official website browsing times respectively expressed as the jth of the ith school, i represents the number of each school, i=1.2....m., i=1.2. Once again, m is chosen>θ′ i The user evaluation information and the web browsing times of each school are respectively set.
The user selection module is used for arranging the selection evaluation coefficients corresponding to the schools according to a descending order so as to obtain the ranks corresponding to the schools, sending the ranks to the user terminal, and selecting by the user so as to obtain the target schools corresponding to the user;
as an optional implementation manner, the selection evaluation coefficients corresponding to each school are analyzed, and the specific analysis process is as follows:
by calculation formulaAnalyzing to obtain corresponding selection evaluation coefficients of each schoolε i 、u i The i-th school overall evaluation coefficient and the evaluation coefficient of each school are respectively represented, i represents the number of each school, i=1.2 1 、c 2 The weight factors are respectively expressed as the preset overall evaluation and evaluation coefficients of each school and the evaluation coefficients of each school.
According to the invention, through deep analysis of the selection evaluation coefficients corresponding to each school in the user selection module, the user can be helped to better obtain the optional target school, the user can save certain time and energy, unnecessary and complicated processes are omitted, the user is simplified, the user can better experience the intelligent education selection feeling, and the method is particularly portable and easy to use.
The qualification analysis module is used for acquiring the number of excellent teachers, the number of rewards and the ranking of schools corresponding to each target school, and further analyzing and obtaining qualification evaluation coefficients corresponding to each target school;
as an optional implementation manner, the analysis obtains qualification evaluation coefficients corresponding to each target school, and the specific analysis process is as follows:
by calculation formulaAnalyzing to obtain qualification evaluation coefficient lambda corresponding to each target school r ，N r 、P r 、H r Respectively representing the number of excellent teachers, the number of awards and the school rank corresponding to the r-th target schools, wherein r represents the number of each target school, r=1.2. The number of the combination of d, N ', P ', H ' are respectively expressed as the number of excellent teachers, the number of awards and the school rank corresponding to each preset target school, v 1 、ν 2 And respectively representing the number of excellent teachers, the number of rewards and the weight factors of school ranks corresponding to the preset target schools.
According to the invention, the corresponding qualification evaluation coefficients of all target schools are deeply analyzed in the qualification analysis module, so that a user is better helped to know the teaching and learning forces of all schools better, and better preferential selection is performed, so that the user can obtain better education, rich knowledge and school experience skills can be drawn, and the maximum potential of the user can be brought into play, and better learning results are obtained.
The interest analysis module is used for acquiring interest types corresponding to the users, the number of people and the establishment time corresponding to each interest community in each target school, and further analyzing and obtaining atmosphere matching coefficients corresponding to the users and each target school;
it should be noted that the interest type corresponding to the user is obtained by the user through filling out the questionnaire of the education system.
As an optional implementation manner, the analysis obtains the atmosphere matching coefficient corresponding to each target school by the user, so as to judge each target school which is more suitable for the interest development of children, and the specific analysis process is as follows:
comparing the interest type corresponding to the user with each interest community in each target school, and if the interest type corresponding to the user is the same as the interest obtained by a certain interest community in a certain target school, taking the interest community in the target school as a target interest community, so as to obtain target interest communities in each target school in this way, and further extracting the number of people and the establishment time corresponding to the target interest communities in each target school;
by calculation formulaAnalyzing to obtain atmosphere matching coefficient +.>Y r 、A r The number of people and the establishment time corresponding to the interest communities of the r-th target school are respectively expressed, r is the number of each target school, r=1.2. The number of the combination of d, Y 'and A' are respectively expressed as the number of people corresponding to each interest community and the establishment time, m 1 、m 2 The weight factors are respectively expressed as the number of people corresponding to each preset interest community and the establishment time.
According to the invention, the corresponding atmosphere matching coefficients are deeply analyzed in the interest analysis module, so that the corresponding learning atmosphere can be better known, and thus, better judgment and selection can be performed, a user can conveniently obtain a better learning environment, the interests and hobbies of the user can be better expanded, the development of the whole aspects is performed, and better growth is obtained.
The school screening module is used for obtaining the score corresponding to the user and the preset expense amount, analyzing and obtaining the matching degree corresponding to each target school by the user, and screening each recommended school corresponding to the user;
the entrance score of each school is obtained by a questionnaire of an educational system automatically filled by a user.
It should be noted that the average consumption amount of each school is also obtained by automatically filling out the questionnaire of the education system by the user.
As an optional implementation manner, the analysis obtains the matching degree of the user corresponding to each target school, and then screens out each recommended school corresponding to the user, and the specific analysis process is as follows:
by calculation formulaAnalyzing to obtain the matching degree beta of the user corresponding to each target school r ，ω r 、f r 、/>λ r The atmosphere matching coefficient, the score, the preset consumption amount and the qualification evaluation coefficient corresponding to each target school are respectively expressed as an atmosphere matching coefficient, a score, a preset consumption amount and a qualification evaluation coefficient corresponding to each target school, wherein r is expressed as the number of each target school, and r=1.2> Respectively expressed as atmosphere matching coefficients corresponding to the user and each target school, scores corresponding to the user, weight factors of preset consumption amount, f',/and the like>Respectively representing the corresponding score of the user and the weight factor of the preset consumption amount;
comparing the matching degree of the user corresponding to each target school with a preset matching threshold value of the user corresponding to each target school, if the priority evaluation coefficient threshold value of a certain target school is smaller than or equal to the matching threshold value corresponding to each target school, taking the target school as a recommended school corresponding to the user, and if the priority evaluation coefficient threshold value of a certain target school is larger than the matching threshold value corresponding to each target school, taking the target school not as the recommended school corresponding to the user, and obtaining each recommended school corresponding to the screened user in the mode.
According to the invention, the matching degree of the user corresponding to each target school is deeply analyzed in the school screening module, so that the school which is most suitable for the user is better obtained, the school is more fit and practical, the learning development of the user is more facilitated, and the learning enthusiasm of the user can be better stimulated.
As an optional implementation manner, the system further comprises a database, wherein the database is used for storing basic information of each school, including the number of teachers, the number of students, the area of the school, evaluation information of each user, the browsing times of each school officer network, the number of excellent teachers, the number of rewards, the ranking of the schools, the number of people corresponding to each interest community, the establishment time, the entrance score and the average consumption amount.
And the display terminal is used for displaying the recommended schools corresponding to the users.
The invention provides a public service-based user end-to-end intelligent service system, which better analyzes the whole environment of a school through acquiring school information, so that a user can obtain visual feeling, further, through evaluation of some users and browsing times of a official network, further, a selectable target school can be better obtained, further, through understanding of school qualification, the teaching capital of the school is better known, and further, through analysis of school interest, a recommended school is obtained through screening, thereby entering into the school and further, the system is better promoted, the defects existing in the prior art are overcome, the user can be helped to obtain more intelligent service, the time and energy consumed by the user can be saved to a certain extent, the efficiency of the user can be greatly improved, the user can obtain intelligent help of comprehensive intelligent education, and the intelligent help of the user can be better promoted and developed.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (8)

1. The utility model provides a user end-to-end intelligent service system based on public service which characterized in that includes:
the school information acquisition module is used for acquiring basic information of each school evaluation, wherein the basic information comprises the number of teachers, the number of students and the area of the schools;
the school information analysis module is used for acquiring basic information of each school evaluation, and further analyzing and obtaining the overall evaluation coefficient of each school;
the user feedback analysis module is used for acquiring evaluation information of each user of each school and browsing times of the official network, and further analyzing and obtaining the evaluation coefficient of each school;
the user selection module is used for arranging the selection evaluation coefficients corresponding to the schools according to a descending order so as to obtain the ranks corresponding to the schools, sending the ranks to the user terminal, and selecting by the user so as to obtain the target schools corresponding to the user;
the qualification analysis module is used for acquiring the number of excellent teachers, the number of rewards and the ranking of schools corresponding to each target school, and further analyzing and obtaining qualification evaluation coefficients corresponding to each target school;
the interest analysis module is used for acquiring interest types corresponding to the users, the number of people and the establishment time corresponding to each interest community in each target school, and further analyzing and obtaining atmosphere matching coefficients corresponding to the users and each target school;
the school screening module is used for obtaining the score corresponding to the user and the preset expense amount, analyzing and obtaining the matching degree corresponding to each target school by the user, and screening each recommended school corresponding to the user;
and the display terminal is used for displaying the recommended schools corresponding to the users.
2. The public service-based user end-to-end intelligent service system according to claim 1, wherein the analysis obtains the overall evaluation and evaluation coefficients of each school, and the specific analysis process is as follows:
by calculation formulaAnalyzing and obtaining the overall evaluation coefficient epsilon of each school i ，x i ，n i ，s i The number of teachers, the number of students, and the area of schools, respectively, i denotes the number of each school, i=1.2 1 、a 2 、a 3 The weight factors are respectively expressed as preset teacher number, student number and school area, and the weight factors x ', n ' and s ' are respectively expressed as preset teacher number, student number and school area of each school.
3. The public service-based user end-to-end intelligent service system according to claim 1, wherein the analysis obtains the evaluation coefficients of each school, and the specific analysis process is as follows:
by calculation ofAnalysis to obtain the evaluation coefficient u of each school i ，σ 1 、σ 2 Weight factors respectively expressed as preset user evaluation information of schools and official web browsing times, +.>θ i User evaluation information and official website browsing times respectively expressed as the jth of the ith school, i represents the number of each school, i=1.2....m., i=1.2. Once again, m is chosen>θ′ i The user evaluation information and the web browsing times of each school are respectively set.
4. The public service-based user end-to-end intelligent service system according to claim 1, wherein the analysis of the selection evaluation coefficients corresponding to each school comprises the following specific analysis processes:
by calculation formulaAnalyzing to obtain the corresponding selection evaluation coefficient +.>ε i 、u i The overall evaluation coefficient of each school and the evaluation coefficient of each school are shown, i is the number of each school, i=1.2..m, c 1 、c 2 The weight factors are respectively expressed as the preset overall evaluation and evaluation coefficients of each school and the evaluation coefficients of each school.
5. The public service-based user end-to-end intelligent service system according to claim 4, wherein the analysis obtains qualification evaluation coefficients corresponding to each target school, and further judges the stamina and teacher strength corresponding to each target school, and the specific analysis process is as follows:
by calculation formulaAnalyzing to obtain qualification evaluation coefficient lambda corresponding to each target school r ，N r 、P r 、H r Respectively representing the number of excellent teachers, the number of awards and the school rank corresponding to the r-th target schools, wherein r represents the number of each target school, r=1.2. The number of the combination of d, N ', P ', H ' are respectively expressed as the number of excellent teachers, the number of awards and the school rank corresponding to each preset target school, v 1 、ν 2 And respectively representing the number of excellent teachers, the number of rewards and the weight factors of school ranks corresponding to the preset target schools.
6. The public service-based user end-to-end intelligent service system according to claim 1, wherein the analysis obtains an atmosphere matching coefficient corresponding to each target school by a user, and further judges each target school more fitting the interest development of the child, and the specific analysis process is as follows:
comparing the interest type corresponding to the user with each interest community in each target school, and if the interest type corresponding to the user is the same as the interest obtained by a certain interest community in a certain target school, taking the interest community in the target school as a target interest community, so as to obtain target interest communities in each target school in this way, and further extracting the number of people and the establishment time corresponding to the target interest communities in each target school;
by calculation formulaAnalyzing to obtain atmosphere matching coefficient +.>Y r 、Α r The number of people and the establishment time corresponding to the interest communities of the r-th target school are respectively expressed, r is the number of each target school, r=1.2. The number of the combination of d, Y 'and A' are respectively expressed as the number of people corresponding to each interest community and the establishment time, m 1 、m 2 The weight factors are respectively expressed as the number of people corresponding to each preset interest community and the establishment time.
7. The public service-based user end-to-end intelligent service system according to claim 1, wherein the analysis obtains the matching degree of the user corresponding to each target school, and further screens out each recommended school corresponding to the user, and the specific analysis process is as follows:
by calculation formulaAnalyzing to obtain the matching degree beta of the user corresponding to each target school r ，ω r 、f r 、/>λ r The atmosphere matching coefficient, the score, the preset consumption amount and the qualification evaluation coefficient corresponding to each target school are respectively expressed as an atmosphere matching coefficient, a score, a preset consumption amount and a qualification evaluation coefficient corresponding to each target school, wherein r is expressed as the number of each target school, and r=1.2> Respectively expressed as atmosphere matching coefficients corresponding to the user and each target school, scores corresponding to the user, weight factors of preset consumption amount, f',/and the like>Respectively representing the corresponding score of the user and the weight factor of the preset consumption amount;
comparing the matching degree of the user corresponding to each target school with a preset matching threshold value of the user corresponding to each target school, if the priority evaluation coefficient threshold value of a certain target school is smaller than or equal to the matching threshold value corresponding to each target school, taking the target school as a recommended school corresponding to the user, and if the priority evaluation coefficient threshold value of a certain target school is larger than the matching threshold value corresponding to each target school, taking the target school not as the recommended school corresponding to the user, and obtaining each recommended school corresponding to the screened user in the mode.
8. The public service-based user end-to-end intelligent service system according to claim 1, further comprising a database for storing basic information of each school, including the number of teachers of the school, the number of students, the area of the school, evaluation information of each user, the number of web browses of each school, the number of excellent teachers, the number of awards, the rank of the school, the number of persons corresponding to each community of interest, the time of establishment, the score of entrance, and the average consumption amount.
CN202310914985.8A 2023-07-25 2023-07-25 User end-to-end intelligent service system based on public service Pending CN117408843A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090081629A1 (en) * 2007-09-24 2009-03-26 Chad Walter Billmyer System and method for matching students to schools
CN106875028A (en) * 2016-06-17 2017-06-20 江婕 A kind of method for aiding in selecting a school and system
CN112016827A (en) * 2020-08-26 2020-12-01 南京郎景途教育科技有限公司 Examination and research auxiliary school selection method and system
CN113516372A (en) * 2021-06-18 2021-10-19 广州启德教育科技有限公司 Information matching method and device for assisting study leaving and school selection
CN114817699A (en) * 2021-01-29 2022-07-29 杭州畅学网络科技有限公司 Real-time accurate calibration selection method and system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090081629A1 (en) * 2007-09-24 2009-03-26 Chad Walter Billmyer System and method for matching students to schools
CN106875028A (en) * 2016-06-17 2017-06-20 江婕 A kind of method for aiding in selecting a school and system
CN112016827A (en) * 2020-08-26 2020-12-01 南京郎景途教育科技有限公司 Examination and research auxiliary school selection method and system
CN114817699A (en) * 2021-01-29 2022-07-29 杭州畅学网络科技有限公司 Real-time accurate calibration selection method and system
CN113516372A (en) * 2021-06-18 2021-10-19 广州启德教育科技有限公司 Information matching method and device for assisting study leaving and school selection

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
自考学姐: ""如何选择适合自己的学校"", pages 2 - 6, Retrieved from the Internet <URL:https://m.51zkw.cn/jinrizixun/532610.html> *

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