CN115018271A - Intelligent student course selection recommendation management system based on smart campus construction - Google Patents
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Abstract
The invention discloses an intelligent student course selection recommendation management system based on smart campus construction, which comprises: the system comprises a course selection information acquisition module, an information storage library, a basic physical quality information analysis module, a student attending course selection attention analysis module, a physical course selection analysis module, a physical course recommendation analysis module and a physical course optimization display module. The method comprehensively analyzes four aspects to obtain the popularity index corresponding to each sports course, and further scientifically, effectively and reasonably recommends the preferred sports course for students taking lessons, improves the rationality of the recommended sports course, further enhances the experience of lessons selection of the students taking lessons, reduces the risk of the students selecting wrong sports courses, and more importantly, optimally recommends the sports courses according to the independent wishes of the students, greatly meets the requirements of most students, and meets the requirement of the preferred sports course recommendation for targeted matching.
Description
Technical Field
The invention relates to the technical field of intelligent student course selection recommendation, in particular to an intelligent student course selection recommendation management system based on intelligent campus construction.
Background
The sports course system of choosing lessons that exists at present adopts the mode of independently choosing lessons usually, and the reference nature is not strong, can't provide reliable sports course reference basis for each student, and in view of this, present sports course system of choosing lessons still exists following not enoughly:
the physical quality of each student who participates in the lecture selection is not analyzed by the current sports course selection system, and then whether the physical quality condition of each student who participates in the lecture selection is matched with the current selected course is ignored, the condition that the sports is dangerous or injured during the sports course is easily caused, the sports safety of each student who participates in the lecture selection is greatly reduced, and the effectiveness and the scientificity of follow-up sports course recommendation are greatly reduced.
The current physical course selection system does not comprehensively analyze the search times, click times, actual accommodating number and favorable comment indexes corresponding to all the physical courses in all the historical courses, so that the welcome indexes corresponding to all the physical courses cannot be obtained, and historical reference bases are lacked, so that students cannot have reliable reference bases in the course selection process, and the course selection experience corresponding to all the students taking part in course selection is greatly influenced.
The sports course selection system which exists at present does not comprehensively analyze the recommendation indexes of all tendency sports courses corresponding to all students taking the course selection in multiple aspects, and then the students taking the course selection can not be scientifically, effectively and reasonably recommended with the preferred sports courses, the rationality of the preferred sports course recommendation is reduced, the risk of selecting wrong sports courses by the students is increased, more importantly, the sports course can not be recommended preferentially according to the wishes of the students, and the pertinence of the preferred sports course recommendation is greatly reduced.
Disclosure of Invention
In order to overcome the defects in the background art, the embodiment of the invention provides an intelligent student course selection recommendation management system based on smart campus construction, which can effectively solve the problems in the background art.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a student's course selection intelligence recommendation management system based on construction of wisdom campus, includes:
the system comprises a course selection information acquisition module, a course selection information acquisition module and a course selection information processing module, wherein the course selection information acquisition module is used for counting the number of students taking a course selection in a school yard within a course selection time period, further numbering the students taking the course selection according to a preset sequence as 1,2, a.
The information storage library is used for storing basic physical fitness information corresponding to students in a campus, storing standard heights and standard weights of various genders in various age groups, storing influence factors of the heights and the weights corresponding to the various genders, storing influence factors corresponding to the physical fitness information in the various genders, storing basic information matching index ranges corresponding to the matching levels of the various basic information, storing reference blood pressure, reference blood fat, reference blood sugar and reference lung capacity corresponding to the matching levels of the various basic information, storing sports course categories corresponding to the sports courses and storing standard physical fitness indexes corresponding to the sports courses;
the physical quality basic information analysis module is used for analyzing the physical quality basic information of each student participating in course selection to obtain a physical quality index corresponding to each student participating in course selection, and comprises a basic information analysis unit and a physical quality information analysis unit;
the system comprises a lesson-taking student attention analysis module, a lesson-taking student attention analysis module and a lesson-taking student attention analysis module, wherein the lesson-taking student attention analysis module is used for analyzing the lesson-taking indexes of the lesson-taking students to sports courses, screening out the sports course with the largest attention index from the lesson-taking students, recording the sports course as a favorite sports course, and further acquiring the associated sports course of the favorite sports course corresponding to each lesson-taking student;
the sports course selection analysis module is used for calculating a course selection popularity index corresponding to each sports course;
the sports course recommendation analysis module is used for calculating the recommendation index of each inclined sports course corresponding to each student taking course selection;
and the sports course optimal selection display module is used for displaying the number corresponding to the optimal sports course and the name corresponding to the optimal sports course.
Specifically, the basic information of physical quality comprises basic information and physical quality information, wherein the basic information comprises height, weight, age and sex, and the physical quality information comprises blood pressure, blood fat, blood sugar and lung capacity.
Specifically, the basic information analysis unit is configured to analyze the basic information of each student participating in the course selection, and the specific analysis steps are as follows:
matching the number of each student participating in the course selection with the basic physical quality information corresponding to each student in the campus stored in the information storage library to obtain the basic physical quality information corresponding to each student participating in the course selection;
extracting the sex and the age corresponding to each participating course selection student from the basic information corresponding to each participating course selection student, simultaneously comparing the age corresponding to each participating course selection student with the preset age range corresponding to each age bracket to obtain the age bracket corresponding to each participating course selection student, and further comparing the sex and the age bracket corresponding to each participating course selection student with the standard height and the standard weight of each gender stored in the information storage library in each age bracket to obtain the standard height and the standard weight corresponding to each participating course selection student;
matching the sex corresponding to each student participating in the course selection with the influence factors of the height and the weight corresponding to each sex stored in the information storage library to obtain the influence factors corresponding to the height and the weight of each student participating in the course selection;
comprehensively analyzing the height and weight of each student participating in course selection to obtain the basic information matching index corresponding to each student participating in course selection, wherein the specific calculation formula is
η i Expressed as the matching index of the basic information, sg, corresponding to the ith student attending course selection i 、tz i Respectively expressed as the height, the weight, sg, corresponding to the ith student who participates in the course selection i′ 、tz i′ Respectively expressed as the standard height, the standard weight and alpha corresponding to the ith student taking part in the course selection i 1、α i 2 are respectively expressed as the influence factors corresponding to the height and the weight of the ith student participating in the course selection.
Specifically, the physical fitness information analyzing unit is configured to analyze physical fitness information corresponding to each student participating in the course selection, and the specific analyzing steps are as follows:
matching and analyzing the basic information matching index range corresponding to each class selection student and the basic information matching index range corresponding to each basic information matching grade stored in the information storage library to obtain the basic information matching grade corresponding to each class selection student;
comparing the basic information matching level corresponding to each student participating in the course selection with the reference blood pressure, the reference blood fat, the reference blood sugar and the reference vital capacity corresponding to each basic information matching level stored in the information storage library to obtain the reference blood pressure, the reference blood fat, the reference blood sugar and the reference vital capacity corresponding to each student participating in the course selection;
matching the sex corresponding to each student participating in the course selection with the influence factor corresponding to the physical fitness information of each sex stored in the information storage library to obtain the influence factor corresponding to the blood pressure, the blood fat, the blood sugar and the lung capacity in the physical fitness information of each student participating in the course selection;
integrating blood pressure, blood fat, blood sugar and vital capacity in the corresponding physical quality information of each student participating in the course selection to obtain the corresponding physical quality index of each student participating in the course selection, wherein the specific calculation formula is
γ i Expressed as the fitness index, xy, corresponding to the ith student attending the course selection i 、xz i 、xt i 、fl i Respectively expressed as the blood pressure, blood fat, blood sugar, vital capacity, xy corresponding to the ith student taking part in the course selection i′ 、xz i′ 、xt i′ 、fl i′ Respectively expressed as blood pressure, blood fat, blood sugar, lung capacity, beta, corresponding to the ith student taking part in the course selection i 1、β i 2、β i 3、β i And 4, respectively representing the influence factors corresponding to the blood pressure, the blood fat, the blood sugar and the lung capacity in the corresponding physical quality information of the ith student participating in the course selection.
Specifically, the attention index of each student participating in the course selection to each sports course is analyzed, and the specific analysis is as follows:
acquiring browsing information of each sports course browsed by each student participating in course selection from a system background, wherein the browsing information comprises browsing duration, click times and search times;
acquiring the total browsing duration, the total clicking times and the total searching times of each student participating in course selection in the course selection process from a system background;
the browsing duration, click times and search times corresponding to each physical course browsed by each student attending course selection are integrated to calculate the attention index of each student attending course selection to each physical course, and the specific calculation formula is as follows
Expressed as the interest index of the ith student attending the course selection to the c < th > individual curriculum,
respectively showing the browsing time length, click times, search times and LT of the ith student taking part in course selection for browsing the c th individual curriculum i 、DA i 、SU i Respectively representing the total browsing duration, the total click times and the total search times of the ith student attending course selection in the course selection process, and respectively representing the weight factors corresponding to the browsing duration, the click times and the search times by d1, d2 and d 3.
Specifically, the obtaining of the associated sports courses of the favorite sports courses corresponding to the students taking the course selection specifically analyzes as follows:
acquiring favorite sports course names corresponding to the students taking course selection, and matching the favorite sports course names with the sports course categories corresponding to the sports courses stored in the information storage database to obtain favorite sports course categories corresponding to the students taking course selection;
the method comprises the steps of extracting the favorite sports courses corresponding to other subclasses except the favorite sports course from the favorite sports course categories corresponding to the students taking lessons, using the extracted favorite sports courses as associated sports courses, and collectively referring the favorite sports courses corresponding to the students taking lessons and the associated sports courses as tendency sports courses.
Specifically, the calculating of the course selection popularity index corresponding to each physical course includes the following specific calculating steps:
counting the times of course selection according to course selection time periods in a set period, and numbering the times of course selection according to a preset sequence to be 1,2,.
Counting the search times, click times, actual accommodating number and favorable index corresponding to each sports course in each historical course selection;
integrating the searching times, the clicking times, the actual accommodating number and the favorable index corresponding to each sports course in each historical course selection to obtain the course selection welcome index corresponding to each sports course, wherein the specific calculation formula is
σ c Is expressed as a lesson selection popularity index corresponding to the c < th > individual education course,
respectively expressed as the search times, click times, actual accommodating number and RN corresponding to the c th individual education course in the s th historical course selection c The number of the core accommodations corresponding to the c-th individual curriculum,
the evaluation index is expressed as the good evaluation index corresponding to the c-th individual curriculum in the s-th historical curriculum selection, and e1, e2, e3 and e4 are respectively expressed as influence factors corresponding to the search times, click times, the number of accommodated people and the good evaluation index.
Specifically, the recommendation index of each inclined physical course corresponding to each student taking course selection is calculated, and the specific analysis is as follows:
matching each tendency physical course corresponding to each student taking course selection with the standard physical quality index corresponding to each physical course stored in the information database to obtain the standard physical quality index corresponding to each tendency physical course of each student taking course selection;
sequentially numbering each tendency sports course corresponding to each student taking part in the course selection according to a preset sequence, wherein the number of each tendency sports course is 1,2,.
Acquiring course selection popularity indexes of the tendency physical courses corresponding to the students taking course selection from the course selection popularity indexes of the physical courses based on the tendency physical course numbers corresponding to the students taking course selection;
the standard physical quality index and the course selection popularity index of each course selection student corresponding to each tendency sports course are integrated to obtain the recommendation index of each course selection student corresponding to each tendency sports course, and the specific calculation formula is
Expressed as a recommendation index for the ith student attending the course selection corresponding to the g-th inclined sports course,
expressed as the standard fitness index of the ith participating lesson selection student corresponding to the g-th inclined physical lesson,
the result is expressed as the lesson selection popularity index of the ith student taking part in the lesson selection corresponding to the g-th inclined sports lesson, and f1 and f2 respectively represent the influence factors corresponding to the physical quality index and the lesson selection popularity index.
Specifically, the displaying of the number corresponding to the preferred sports lesson and the name corresponding thereto specifically includes:
and sequencing the recommendation indexes of the inclined sports courses corresponding to the students taking course selection in turn according to the descending order, recording the inclined sports courses corresponding to the recommendation indexes in the first three ranks as the preferred sports courses, and simultaneously acquiring the names and the numbers corresponding to the preferred sports courses.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the invention obtains the basic information and the physical quality information of each student participating in the course selection through the basic information of the physical quality corresponding to each student stored in the information storage library, further obtains the corresponding physical quality index according to the basic information matching index analysis of each student participating in the course selection, further matches the corresponding physical quality index of each student participating in the course selection with the standard physical quality corresponding to the current student inclined sports course, thereby obtaining whether each student participating in the course selection meets the standard physical quality index corresponding to the current inclined sports course or not, avoiding the condition that each student participating in the course selection has sports danger or sports injury in the course of carrying out the sports course, greatly improving the sports safety of each student participating in the course selection, more importantly avoiding the irrationality and error caused by the subjective intention of the student selecting the sports course, the accuracy of the analysis result is greatly improved.
The invention comprehensively analyzes the searching times, the clicking times, the actual accommodating number and the favorable index corresponding to each sports course in each historical course selection to obtain the welcome index corresponding to each sports course, so that the analysis result is more accurate and reliable, and meanwhile, the comprehensive consideration is provided, the reliable historical reference basis is provided for each course selection student, and the course selection experience corresponding to each course selection student is further improved.
The invention analyzes the sports courses corresponding to each tendency of each student taking course selection preferentially, further integrates the standard physical quality index and the course selection popularity index of each student taking course selection corresponding to each tendency sports course to obtain the recommended index of each student taking course selection corresponding to each tendency sports course, so that the analysis result has rationality, scientificity and comprehensiveness, further scientifically, effectively and reasonably recommend the preferable sports course for the students taking course selection, the rationality of the preferred sports course recommendation is improved, the experience of course selection of students taking the course selection is further enhanced, the risk of choosing wrong sports courses by the students is reduced, more importantly, the preferred sports course recommendation is mainly carried out according to the independent wishes of the students, the requirements of most students are greatly met, and the targeted matching requirement of the preferred sports course recommendation is realized.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic diagram of the system module connection according to the present invention.
Fig. 2 is a schematic connection diagram of the basic information analysis module of physical quality according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides an intelligent recommendation management system for student course selection based on smart campus construction, including: the system comprises a course selection information acquisition module, an information storage library, a basic physical quality information analysis module, a student attending course selection attention analysis module, a physical course selection analysis module, a physical course recommendation analysis module and a physical course optimization display module.
The course selection information acquisition module is respectively connected with the basic body quality information analysis module, the attention analysis module of students taking part in course selection and the sports course selection analysis module, the information storage library is respectively connected with the basic body quality information analysis module and the attention analysis module of students taking part in course selection, and the sports course recommendation analysis module is respectively connected with the basic body quality information analysis module, the attention analysis module of students taking part in course selection, the sports course selection analysis module and the sports course preference display module.
The course selection information acquisition module is used for counting the number of students taking part in a course selection in a school park within a course selection time period, then sequentially numbering the students taking part in the course selection as 1,2, a.
The information storage library is used for storing basic physical fitness information corresponding to students in a campus, storing standard heights and standard weights of all genders in all age groups, storing influence factors of the heights and the weights corresponding to all the genders, storing influence factors corresponding to all the physical fitness information in all the genders, storing basic information matching index ranges corresponding to all the basic information matching levels, storing reference blood pressures, reference blood lipids, reference blood sugar and reference lung capacity corresponding to all the basic information matching levels, storing sports course categories corresponding to all the sports courses and storing standard physical fitness indexes corresponding to all the sports courses.
Specifically, the basic information of physical quality comprises basic information and physical quality information, wherein the basic information comprises height, weight, age and sex, and the physical quality information comprises blood pressure, blood fat, blood sugar and lung capacity.
The basic information analysis module of physical quality is used for analyzing the basic information of the physical quality of each student participating in course selection to obtain a corresponding physical quality index of each student participating in course selection, and comprises a basic information analysis unit and a physical quality information analysis unit.
Specifically, the basic information analysis unit is configured to analyze basic information of each student participating in the course selection, and the specific analysis steps are as follows:
and matching the number of each student participating in the course selection with the basic physical quality information corresponding to each student in the campus stored in the information storage library to obtain the basic physical quality information corresponding to each student participating in the course selection.
And extracting the sex and the age corresponding to each participating course selection student from the basic information corresponding to each participating course selection student, comparing the age corresponding to each participating course selection student with the preset age range corresponding to each age group to obtain the age group corresponding to each participating course selection student, and comparing the sex and the age group corresponding to each participating course selection student with the standard height and the standard weight of each sex in each age group stored in the information storage library to obtain the standard height and the standard weight corresponding to each participating course selection student.
As an alternative embodiment, the standard heights and standard weights of the sexes are different at different ages, and the difference in physiology between men and women may result in different standard heights and weights, and likewise, the standard heights and weights of men and women may differ at different ages.
And matching the sex corresponding to each student participating in the course selection with the influence factors of the height and the weight corresponding to each sex stored in the information storage library to obtain the influence factors corresponding to the height and the weight of each student participating in the course selection.
Comprehensively analyzing the height and the weight of each student participating in the course selection to obtain the basic information matching index corresponding to each student participating in the course selection, wherein the specific calculation formula is
η i Expressed as the matching index of the basic information, sg, corresponding to the ith student attending course selection i 、tz i Respectively expressed as the height, the weight, sg, corresponding to the ith student who participates in the course selection i′ 、tz i′ Respectively expressed as the standard height, the standard weight and alpha corresponding to the ith student taking part in the course selection i 1、α i 2 are respectively expressed as the influence factors corresponding to the height and the weight of the ith student participating in the course selection.
Specifically, the physical quality information analysis unit is configured to analyze the physical quality information corresponding to each student participating in the course selection, and the specific analysis steps are as follows:
and matching and analyzing the basic information matching index corresponding to each course selection student and the basic information matching index range corresponding to each basic information matching grade stored in the information storage library to obtain the basic information matching grade corresponding to each course selection student.
And comparing the basic information matching level corresponding to each student participating in the course selection with the reference blood pressure, the reference blood fat, the reference blood sugar and the reference vital capacity corresponding to each basic information matching level stored in the information storage library to obtain the reference blood pressure, the reference blood fat, the reference blood sugar and the reference vital capacity corresponding to each student participating in the course selection.
And matching the sex corresponding to each student participating in the course selection with the influence factor corresponding to the physical fitness information of each sex stored in the information storage library to obtain the influence factors corresponding to the blood pressure, the blood fat, the blood sugar and the lung capacity in the physical fitness information of each student participating in the course selection.
Integrating blood pressure, blood fat, blood sugar and vital capacity in the corresponding physical quality information of each student participating in the course selection to obtain the corresponding physical quality index of each student participating in the course selection, wherein the specific calculation formula is
γ i Expressed as the fitness index, xy, corresponding to the ith student attending the course selection i 、xz i 、xt i 、fl i Respectively expressed as blood pressure, blood lipid, blood glucose, vital capacity, xy of the ith student i′ 、xz i ′、xt i′ 、fl i′ Respectively expressed as blood pressure, blood fat, blood sugar, lung capacity, beta corresponding to the ith student participating in the course selection i 1、β i 2、β i 3、β i And 4, respectively representing the influence factors corresponding to the blood pressure, the blood fat, the blood sugar and the vital capacity in the corresponding physical quality information of the ith student participating in the course selection.
As an alternative embodiment, the blood pressure, the blood fat and the blood sugar have allowable difference ranges, and the probability of suffering from hypertension, hyperlipidemia and hyperglycemia is increased when the allowable difference ranges are higher than the allowable difference ranges, so that the physical exercise is not facilitated, and at the moment, the physical exercise course with low exercise intensity is selected as much as possible to perform proper physical exercise. Similarly, below the allowable difference range, the exercise course with less exercise intensity and shorter exercise time is selected as much as possible for proper physical exercise.
The invention obtains the basic information and the physical quality information of each student participating in the course selection through the basic information of the physical quality corresponding to each student stored in the information storage library, further obtains the corresponding physical quality index according to the basic information matching index analysis of each student participating in the course selection, further matches the corresponding physical quality index of each student participating in the course selection with the standard physical quality corresponding to the current student inclined sports course, thereby obtaining whether each student participating in the course selection meets the standard physical quality index corresponding to the current inclined sports course or not, avoiding the condition that each student participating in the course selection has sports danger or sports injury in the course of carrying out the sports course, greatly improving the sports safety of each student participating in the course selection, more importantly avoiding the irrationality and error caused by the subjective intention of the student selecting the sports course, the accuracy of the analysis result is greatly improved.
And the class selection student attention analysis module is used for analyzing the attention indexes of the class selection students to the sports courses, screening the sports courses with the maximum attention indexes from the class selection students, recording the sports courses as favorite sports courses, and further acquiring the associated sports courses of the favorite sports courses corresponding to the class selection students.
Specifically, the attention index of each student participating in the course selection to each sports course is analyzed, and the specific analysis is as follows:
the attention index of each student participating in course selection to each physical course is analyzed, and the specific analysis is as follows:
and acquiring browsing information of each sports course browsed by each student participating in course selection from a system background, wherein the browsing information comprises browsing duration, click times and search times.
As an optional implementation manner, the specific obtaining manner of the browsing duration is as follows: and adding the number of times of each click and the browsing duration corresponding to each search number to obtain the browsing duration of each physical course browsed by each student participating in course selection.
And acquiring the total browsing duration, the total clicking times and the total searching times of the students taking the course selection in the course selection process from the system background.
The browsing duration, click times and search times corresponding to each physical course browsed by each student attending course selection are integrated to calculate the attention index of each student attending course selection to each physical course, and the specific calculation formula is as follows
Expressed as the interest index of the ith student attending the course selection to the c < th > individual curriculum,
respectively showing the browsing time length, click times, search times and LT of the ith student taking part in course selection for browsing the c th individual curriculum i 、DA i 、SU i Respectively representing the total browsing duration, the total click times and the total search times of the ith student attending course selection to the sports course in the course selection process, and respectively representing the weight factors corresponding to the browsing duration, the click times and the search times by d1, d2 and d 3.
As an optional implementation manner, the attention indexes of the students taking course selection to the sports courses are analyzed from the aspects of browsing duration, click times and search times corresponding to the browsing of the sports courses by the students taking course selection, so that the comprehensiveness of data sources is ensured, the inaccuracy of analysis results caused by single data is avoided, and the analysis results are more intuitive.
Specifically, the obtaining of the associated sports courses of the favorite sports courses corresponding to the students taking the course selection specifically analyzes as follows:
acquiring favorite sports course names corresponding to the students taking course selection, and matching the favorite sports course names with the sports course categories corresponding to the sports courses stored in the information storage database to obtain favorite sports course categories corresponding to the students taking course selection;
the method comprises the steps of extracting the favorite sports courses corresponding to other subclasses except the favorite sports course from the favorite sports course categories corresponding to the students taking lessons, using the extracted favorite sports courses as associated sports courses, and collectively referring the favorite sports courses corresponding to the students taking lessons and the associated sports courses as tendency sports courses.
As an alternative embodiment, the sports classes include, but are not limited to: ball sports courses, track and field sports courses, martial arts sports courses, gymnastics sports courses, body building sports courses, and swimming sports courses.
As an alternative implementation, the purpose of obtaining the trend sports lessons corresponding to each student taking part in the lesson selection is to: under the premise of keeping the independent will of students, corresponding sports course recommendation is carried out for each student participating in course selection, the interest and hobbies of the students are guaranteed, the physical quality index corresponding to each student participating in course selection is considered, and humanization and intellectualization of the sports course recommendation are highlighted.
And the sports course selection analysis module is used for calculating the selection popularity index corresponding to each sports course.
Specifically, the calculating of the course selection popularity index corresponding to each physical course includes the following specific calculating steps:
in a set period, counting the times of course selection according to course selection time periods, and numbering the times of course selection according to a preset sequence to be 1,2,.
And counting the search times, click times, actual accommodating number and favorable index corresponding to each sports course in each historical course selection.
As an alternative embodiment, the evaluation index analysis step is as follows:
step 1: counting the number of commenting types corresponding to all sports courses in all historical courses, and meanwhile, counting the total number of commenting types corresponding to all sports courses in all historical courses;
step 2: counting the number of commenting students corresponding to each sports course in each historical course selection;
and 3, step 3: comprehensively analyzing the total number of the comments, the number of the comments of the commend type and the number of the comment students corresponding to each sports course in each historical course selection to obtain a good comment index corresponding to each sports course in each historical course selection, wherein the specific calculation formula is
The number of comments of the type corresponding to the recognition of the c-th individual exercise course in the s-th historical lesson selection,
expressed as the total number of comments corresponding to the c < th > education course in the s < th > history course selection,
the number of the comment students corresponding to the c-th education course in the s-th historical course selection is represented, and tau 1 and tau 2 are respectively represented as the number of the comment students and the correction coefficient corresponding to the number of the comment students.
Integrating the searching times, the clicking times, the actual accommodating number and the favorable index corresponding to each sports course in each historical course selection to obtain the course selection welcome index corresponding to each sports course, wherein the specific calculation formula is
σ c Is expressed as a lesson selection popularity index corresponding to the c < th > individual education course,
respectively representing the number of searches, clicks, actual accommodating number and RN corresponding to the c < th > individual education course in the s < th > historical course selection c The number of the core accommodations corresponding to the c-th individual curriculum,
the evaluation index is expressed as the rating index corresponding to the c-th individual education course in the s-th historical lesson selection, and e1, e2, e3 and e4 are respectively expressed as influence factors corresponding to the search times, the click times, the accommodating number of people and the rating index.
The invention comprehensively analyzes the searching times, the clicking times, the actual accommodating number and the favorable comment indexes corresponding to each sports course in each historical course selection to obtain the popular index corresponding to each sports course, so that the analysis result is more accurate and reliable, and meanwhile, the invention has comprehensive consideration, provides reliable historical reference for each course selection student, and further improves the course selection experience corresponding to each course selection student.
And the sports course recommendation analysis module is used for calculating the recommendation index of each inclined sports course corresponding to each student taking course selection.
Specifically, the recommendation index of each inclined physical course corresponding to each student taking course is calculated, and the specific analysis is as follows:
and matching each tendency physical course corresponding to each student taking course selection with the standard physical quality index corresponding to each physical course stored in the information database to obtain the standard physical quality index of each tendency physical course corresponding to each student taking course selection.
And sequentially numbering the tendency sports courses corresponding to the students taking the course according to a preset sequence, wherein the tendency sports courses are 1,2, g, p.
And acquiring the course selection popularity index of each tendency physical course corresponding to each student taking course selection from the course selection popularity indexes of each physical course based on the tendency physical course number corresponding to each student taking course selection.
The standard physical quality index and the course selection popularity index of each course selection student corresponding to each tendency sports course are integrated to obtain the recommendation index of each course selection student corresponding to each tendency sports course, and the specific calculation formula is
Expressed as a recommendation index for the ith student attending the course selection corresponding to the g-th inclined sports course,
expressed as a standard fitness index of the ith participating course selection student corresponding to the g-th inclined sports course,
the ith student who takes part in the course selection corresponds to the course selection of the g trend sports courseThe popularity indexes f1 and f2 respectively represent influence factors corresponding to the physical fitness index and the lesson selection popularity index.
As an optional implementation manner, the standard physical quality index corresponding to each inclined physical course of each student participating in the course selection is compared with the physical quality index corresponding to each student participating in the course selection, so that whether the student participating in the course selection meets the standard physical quality index required by the inclined physical course or not can be analyzed, the occurrence rate of sports accidents in the course of carrying out the physical course is further reduced, and the possibility of injury of the students is fundamentally avoided.
As an alternative implementation, the course selection popularity index of each course selection student corresponding to each tendency sports course is used as an important part of the recommendation index analysis, so as to help the students to find the relevant sports courses which are suitable for themselves and have high referential performance as soon as possible.
And the sports course optimal selection display module is used for displaying the number corresponding to the optimal sports course and the name corresponding to the optimal sports course.
Specifically, the displaying of the number corresponding to the preferred sports lesson and the name corresponding thereto specifically includes:
and sequencing the recommendation indexes of the inclined sports courses corresponding to the students taking course selection in turn according to the descending order, recording the inclined sports courses corresponding to the recommendation indexes in the first three ranks as the preferred sports courses, and simultaneously acquiring the names and the numbers corresponding to the preferred sports courses.
The invention analyzes the sports courses corresponding to each tendency of each student taking course selection preferentially, further integrates the standard physical quality index and the course selection popularity index of each student taking course selection corresponding to each tendency sports course to obtain the recommended index of each student taking course selection corresponding to each tendency sports course, so that the analysis result has rationality, scientificity and comprehensiveness, further scientifically, effectively and reasonably recommend the preferable sports course for the students taking course selection, the rationality of the preferred sports course recommendation is improved, the experience of course selection of students taking the course selection is further enhanced, the risk of choosing wrong sports courses by the students is reduced, more importantly, the preferred sports course recommendation is mainly carried out according to the independent wishes of the students, the requirements of most students are greatly met, and the targeted matching requirement of the preferred sports course recommendation is realized.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. The utility model provides a student's course selection intelligence recommendation management system based on construction of wisdom campus which characterized in that includes:
the system comprises a course selection information acquisition module, a course selection information acquisition module and a course selection information processing module, wherein the course selection information acquisition module is used for counting the number of students taking a course selection in a school yard within a course selection time period, further numbering the students taking the course selection according to a preset sequence as 1,2, a.
The information storage library is used for storing basic physical fitness information corresponding to students in a campus, storing standard heights and standard weights of all genders at all age stages, storing influence factors of the heights and the weights corresponding to all the genders, storing influence factors corresponding to all the physical fitness information in all the genders, storing basic information matching index ranges corresponding to all the basic information matching grades, storing reference blood pressure, reference blood fat, reference blood sugar and reference lung capacity corresponding to all the basic information matching grades, storing sports course categories corresponding to all the sports courses and storing standard physical fitness indexes corresponding to all the sports courses;
the physical quality basic information analysis module is used for analyzing the physical quality basic information of each student participating in course selection to obtain a physical quality index corresponding to each student participating in course selection, and comprises a basic information analysis unit and a physical quality information analysis unit;
the system comprises a lesson-taking student attention analysis module, a lesson-taking student attention analysis module and a lesson-taking student attention analysis module, wherein the lesson-taking student attention analysis module is used for analyzing the lesson-taking indexes of the lesson-taking students to sports courses, screening out the sports course with the largest attention index from the lesson-taking students, recording the sports course as a favorite sports course, and further acquiring the associated sports course of the favorite sports course corresponding to each lesson-taking student;
the sports course selection analysis module is used for calculating a course selection popularity index corresponding to each sports course;
the sports course recommendation analysis module is used for calculating the recommendation index of each inclined sports course corresponding to each student taking course selection;
and the sports course preference display module is used for displaying the number corresponding to the preferred sports course and the name corresponding to the number.
2. The intelligent campus building based student course selection recommendation management system as claimed in claim 1, wherein: the basic information of the physical quality comprises basic information and physical quality information, wherein the basic information comprises height, weight, age and sex, and the physical quality information comprises blood pressure, blood fat, blood sugar and lung capacity.
3. The intelligent campus building based student course selection recommendation management system as claimed in claim 1, wherein: the basic information analysis unit is used for analyzing the basic information of each student participating in course selection, and the specific analysis steps are as follows:
matching the number of each student participating in the course selection with the basic physical quality information corresponding to each student in the campus stored in the information storage library to obtain the basic physical quality information corresponding to each student participating in the course selection;
extracting the sex and the age corresponding to each participating course selection student from the basic information corresponding to each participating course selection student, simultaneously comparing the age corresponding to each participating course selection student with the preset age range corresponding to each age bracket to obtain the age bracket corresponding to each participating course selection student, and further comparing the sex and the age bracket corresponding to each participating course selection student with the standard height and the standard weight of each gender stored in the information storage library in each age bracket to obtain the standard height and the standard weight corresponding to each participating course selection student;
matching the sex corresponding to each student joining the course selection with the height and weight influence factors stored in the information storage library corresponding to each sex to obtain the height and weight influence factors of each student joining the course selection;
comprehensively analyzing the height and the weight of each student participating in the course selection to obtain the basic information matching index corresponding to each student participating in the course selection, wherein the specific calculation formula is
η i Expressed as the matching index of the basic information, sg, corresponding to the ith student attending course selection i 、tz i Respectively expressed as the height, the weight, sg, corresponding to the ith student who participates in the course selection i′ 、tz i′ Respectively expressed as the standard height, the standard weight and alpha corresponding to the ith student taking part in the course selection i 1、α i 2 are respectively expressed as the influence factors corresponding to the height and the weight of the ith student participating in the course selection.
4. The intelligent campus building based student course selection recommendation management system as claimed in claim 1, wherein: the physical quality information analysis unit is used for analyzing the physical quality information corresponding to each student participating in course selection, and the specific analysis steps are as follows:
matching and analyzing the basic information matching index range corresponding to each class selection student and the basic information matching index range corresponding to each basic information matching grade stored in the information storage library to obtain the basic information matching grade corresponding to each class selection student;
comparing the basic information matching level corresponding to each student participating in the course selection with the reference blood pressure, the reference blood fat, the reference blood sugar and the reference vital capacity corresponding to each basic information matching level stored in the information storage library to obtain the reference blood pressure, the reference blood fat, the reference blood sugar and the reference vital capacity corresponding to each student participating in the course selection;
matching the sex corresponding to each student participating in the course selection with the influence factor corresponding to the physical fitness information of each sex stored in the information storage library to obtain the influence factor corresponding to the blood pressure, the blood fat, the blood sugar and the lung capacity in the physical fitness information of each student participating in the course selection;
integrating blood pressure, blood fat, blood sugar and vital capacity in the corresponding physical quality information of each student participating in the course selection to obtain the corresponding physical quality index of each student participating in the course selection, wherein the specific calculation formula is
γ i Expressed as the fitness index, xy, corresponding to the ith student attending the course selection i 、xz i 、xt i 、fl i Respectively expressed as the blood pressure, blood fat, blood sugar, vital capacity, xy corresponding to the ith student taking part in the course selection i′ 、xz i′ 、xt i′ 、fl i′ Respectively expressed as blood pressure, blood fat, blood sugar, lung capacity, beta, corresponding to the ith student taking part in the course selection i 1、β i 2、β i 3、β i And 4, respectively representing the influence factors corresponding to the blood pressure, the blood fat, the blood sugar and the lung capacity in the corresponding physical quality information of the ith student participating in the course selection.
5. The intelligent campus building based student course selection recommendation management system as claimed in claim 1, wherein: the attention index of each student participating in course selection to each physical course is analyzed, and the specific analysis is as follows:
acquiring browsing information of each sports course browsed by each student participating in course selection from a system background, wherein the browsing information comprises browsing duration, click times and search times;
acquiring the total browsing duration, the total clicking times and the total searching times of each student participating in course selection in the course selection process from a system background;
integrating the browsing duration, click times and search times corresponding to each physical course browsed by each course selection student, and calculating the attention index of each course selection student to each physical course, wherein the attention index is specifically countedThe formula is as follows
Expressed as the interest index of the ith student attending the course selection to the c < th > individual curriculum,
respectively showing the browsing time length, click times, search times and LT of the ith student taking part in course selection for browsing the c th individual curriculum i 、DA i 、SU i Respectively representing the total browsing duration, the total click times and the total search times of the ith student attending course selection to the sports course in the course selection process, and respectively representing the weight factors corresponding to the browsing duration, the click times and the search times by d1, d2 and d 3.
6. The intelligent campus building based student course selection recommendation management system as claimed in claim 1, wherein: the method comprises the following steps of obtaining relevant sports courses of each student participating in course selection corresponding to favorite sports courses, and specifically analyzing the relevant sports courses as follows:
acquiring favorite sports course names corresponding to the students taking course selection, and matching the favorite sports course names with the sports course categories corresponding to the sports courses stored in the information storage database to obtain favorite sports course categories corresponding to the students taking course selection;
the method comprises the steps of extracting the favorite sports courses corresponding to other subclasses except the favorite sports course from the favorite sports course categories corresponding to the students taking lessons, using the extracted favorite sports courses as associated sports courses, and collectively referring the favorite sports courses corresponding to the students taking lessons and the associated sports courses as tendency sports courses.
7. The intelligent campus building based student course selection recommendation management system as claimed in claim 1, wherein: the course selection popularity index corresponding to each sports course is calculated, and the specific calculation steps are as follows:
counting the times of course selection according to course selection time periods in a set period, and numbering the times of course selection according to a preset sequence to be 1,2,.
Counting the search times, click times, actual accommodating number and favorable index corresponding to each sports course in each historical course selection;
integrating the searching times, the clicking times, the actual accommodating number and the favorable index corresponding to each sports course in each historical course selection to obtain the course selection welcome index corresponding to each sports course, wherein the specific calculation formula is
σ c Is expressed as a lesson selection popularity index corresponding to the c < th > individual education course,
respectively representing the number of searches, clicks, actual accommodating number and RN corresponding to the c < th > individual education course in the s < th > historical course selection c The number of the core accommodations corresponding to the c-th individual curriculum,
the evaluation index is expressed as the good evaluation index corresponding to the c-th individual curriculum in the s-th historical curriculum selection, and e1, e2, e3 and e4 are respectively expressed as influence factors corresponding to the search times, click times, the number of accommodated people and the good evaluation index.
8. The intelligent campus building based student course selection recommendation management system as claimed in claim 1, wherein: the recommendation index of each inclined physical course corresponding to each student taking course is calculated, and the specific analysis is as follows:
matching each tendency physical course corresponding to each student taking course selection with the standard physical quality index corresponding to each physical course stored in the information database to obtain the standard physical quality index corresponding to each tendency physical course of each student taking course selection;
sequentially numbering each tendency sports course corresponding to each student taking part in the course selection according to a preset sequence, wherein the number of each tendency sports course is 1,2,.
Acquiring course selection popularity indexes of the tendency physical courses corresponding to the students taking course selection from the course selection popularity indexes of the physical courses based on the tendency physical course numbers corresponding to the students taking course selection;
the standard physical quality index and the course selection popularity index of each course selection student corresponding to each tendency sports course are integrated to obtain the recommendation index of each course selection student corresponding to each tendency sports course, and the specific calculation formula is
Expressed as a recommendation index for the ith participating course selection student corresponding to the g-th inclined sports course,
expressed as the standard fitness index of the ith participating lesson selection student corresponding to the g-th inclined physical lesson,
the result is expressed as a lesson selection popularity index corresponding to the g-th inclined physical lesson selection course of the ith student taking lesson selection, and f1 and f2 respectively express influence factors corresponding to a physical quality index and the lesson selection popularity index.
9. The intelligent campus building based student course selection recommendation management system as claimed in claim 1, wherein: the number corresponding to the preferred sports course and the name corresponding to the preferred sports course are displayed, and the method specifically comprises the following steps:
and sequencing the recommendation indexes of the inclined sports courses corresponding to the students taking course selection in turn according to the descending order, recording the inclined sports courses corresponding to the recommendation indexes in the first three ranks as the preferred sports courses, and simultaneously acquiring the names and the numbers corresponding to the preferred sports courses.
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