CN111581180A - Personalized campus activity management system and method - Google Patents

Abstract

The present invention provides a personalized campus activity management system and method. The system includes a business support module, a data management module and a preference analysis module. The preference analysis module includes an activity theme analysis submodule, an activity keyword analysis submodule and an activity There are three parts of the discipline analysis submodule, and the activity theme analysis submodule utilizes the LDA theme model to classify the activity according to the activity content; the activity keyword analysis submodule analyzes the activity keyword set when the activity administrator creates the activity; The activity disciplinary analysis sub-module comprehensively measures the number of user registration activities, the number of activities that have passed the review and the number of activities that have not been signed in, and determines the user disciplinary score. The present invention can realize the support for the whole process of the activity; meanwhile, it can realize the analysis and mining of the data of the registration activity and participation in the activity, manage the user's preference, and then select different groups of people for publicity according to different content activities.

Description

A personalized campus activity management system and method

technical field

The invention relates to the field of campus activity management, in particular to a personalized campus activity management system and method.

Background technique

Campus activities have greatly enriched students' campus life and can meet students' expansion needs involving culture, entertainment, sports, outdoor quality and other aspects. Existing campus activities are mainly publicized through the campus portal website or by posting posters. Activities can be created, edited and published on the campus portal website. However, the campus portal website does not support the entire process of the event completely, such as : It is impossible to realize electronic sign-in and manage the sign-in situation in a unified manner; the content of the activity is only published in posters or on the campus portal website, so that students who do not visit the campus portal website or do not see the poster cannot obtain event information in a timely and effective manner, resulting in resource loss. Waste; at the same time, the activity participation data cannot be further analyzed and processed.

At present, large-scale event platforms, such as the event tree, have a complete event publishing and management process, and events can be released through the event tree. The advantage is that the event tree function and process management are complete, but important data such as user behavior related to event participation is mastered by the event tree platform. , the school cannot obtain relevant data, and cannot provide personalized services for students through further analysis of the data, and the cost of publishing activities through such platforms is relatively high.

SUMMARY OF THE INVENTION

In order to solve the above technical problems, the present invention provides a personalized campus activity management system and method.

The personalized campus activity management system includes a business support module, a data management module, and a preference analysis module. The preference analysis module includes three parts: an activity theme analysis submodule, an activity keyword analysis submodule, and an activity discipline analysis submodule. The activity theme analysis submodule uses the LDA theme model to classify activities according to the activity content; the activity keyword analysis submodule analyzes the activity keywords set when the activity administrator creates the activity; the activity discipline analysis submodule analyzes the activity. The number of user registration activities, the number of approved activities and the number of non-sign-in activities are comprehensively measured to determine the user morality score.

Preferably, the service support module includes a user service sub-module and an activity service sub-module, the user service sub-module is used for user registration and login, activity registration and user personal center, and the activity service sub-module is used for administrators to Manage activities such as creating and editing, removing shelves, publishing, reviewing, reminding, checking in, and statistical analysis.

Preferably in any of the above solutions, the data management module includes an activity management sub-module, a user grouping management sub-module, a rights management sub-module and a preference management sub-module, and the activity management sub-module is used for Create, update and delete operations; the user grouping sub-module is used to divide user groups according to the preferences and keywords of different users; the authority management sub-module is used to control the activities of different departments to their own departments and participate in their own department activities. The preference management sub-module is used to perform text mining on the active text content using the LDA model and attach preference labels.

In any of the above-mentioned schemes, it is preferable that the user's moral score=(the number of check-in activities/the number of approved activities)*ln(1+the number of user registration activities), and the sum of the number of check-in activities and the number of non-check-in activities is Number of approved activities.

In any of the above solutions, preferably, the data management module reads the data of the business support module and stores it, and the preference analysis module reads the data stored in the data management module and performs corresponding analysis.

In any of the above solutions, preferably, the preference analysis module returns the data obtained after analysis to the data management module for storage, and the business support module reads the data stored in the data management module and displays it on the front end.

Preferably in any of the above solutions, the preference analysis module performs analysis based on at least keywords and activity fields.

In any of the above solutions, preferably, the keywords include keywords set when editing the activity and activity theme keywords obtained through the activity description by using the theme classification method.

A personalized campus activity management method, used in the personalized campus activity management system, includes the steps:

The event administrator publishes the event to be carried out on the platform;

User browsing activity;

The user enters the registration page of the event of interest to register;

The event administrator reviews the applicants;

Remind approved users to participate in the event before the event;

Check-in management on the day of the event;

Statistical analysis of the event after the event is over.

Preferably, the method further includes grouping users into groups participating in the activity according to keywords and activity fields, and issuing activity invitations to appropriate groups.

The personalized campus activity management system and method of the present invention can realize the support for the whole process of activities; at the same time, it can realize the analysis and mining of the data of registration activities and participation activities, and manage the user's preference, and then select activities according to different contents. Advertising to different groups of people.

Description of drawings

FIG. 1 is a structural diagram of a preferred embodiment of a personalized campus activity management system according to the present invention.

FIG. 2 is a schematic flow chart of a preferred embodiment of the personalized campus activity management method according to the present invention.

FIG. 3 is a technical architecture diagram of the embodiment shown in FIG. 1 of the personalized campus activity management system according to the present invention.

FIG. 4 is a schematic diagram of the activity management interface of the embodiment shown in FIG. 1 of the personalized campus activity management system according to the present invention.

FIG. 5 is a schematic diagram of the activity editing interface of the embodiment shown in FIG. 1 of the personalized campus activity management system according to the present invention.

FIG. 6 is a schematic diagram of an interface for creating an activity preference group in the embodiment shown in FIG. 1 of the personalized campus activity management system according to the present invention.

FIG. 7 is a schematic diagram of an activity push trigger interface of the embodiment shown in FIG. 1 of the personalized campus activity management system according to the present invention.

Detailed ways

In order to better understand the present invention, the present invention will be described in detail below with reference to specific embodiments.

Example 1

As shown in Figure 1, a personalized campus activity management system includes a business support module, a data management module and a preference analysis module.

The business support module includes a user business sub-module and an activity business sub-module, the user business sub-module is used for user registration and login, activity registration and user personal center, and the activity business sub-module is used for administrators to create and organize activities. Editing, unlisting, publishing, reviewing, reminding, sign-in, and statistical analysis, etc.

The data management module includes an activity management sub-module, a user grouping management sub-module, a rights management sub-module and a preference management sub-module, and the activity management sub-module is used for background administrators to create, update and delete activities; the The user grouping sub-module is used to divide user groups according to the preferences and keywords of different users; the authority management sub-module is used to control different departments to manage the activities of their own departments and the people participating in their own department activities; the preference management sub-module It is used to perform text mining on active text content using the LDA (Latent Dirichlet Allocation) model and attach preference labels. The LDA model is a document topic generation model, also known as a three-layer Bayesian probability model, which includes a three-layer structure of words, topics and documents. The so-called generative model means that we think that each word of an article is obtained through a process of "selecting a certain topic with a certain probability, and selecting a certain word from this topic with a certain probability". Documents to topics follow a multinomial distribution, and topics to words follow a multinomial distribution.

The preference analysis module includes three parts: an activity theme analysis submodule, an activity keyword analysis submodule, and an activity discipline analysis submodule. The activity theme analysis submodule uses the LDA theme model to classify activities according to the content of the activity; the activity The keyword analysis sub-module analyzes the activity keywords set when the activity administrator creates the activity; the activity discipline analysis sub-module comprehensively measures the number of user registration activities, the number of approved activities and the number of unchecked activities, and determines the user's discipline score .

The user morality score=(number of check-in activities/number of approved activities)*ln(1+number of user registration activities), and the sum of the number of signed-in activities and the number of unchecked-in activities is the number of approved activities.

As shown in Figure 3, the system uses PHP language for front-end development. PHP (Hypertext Preprocessor) is a general-purpose open-source scripting language. The grammar absorbs the characteristics of C language, Java and Perl, which is conducive to learning and widely used, and is mainly suitable for the field of Web development. PHP's unique syntax is a mix of C, Java, Perl, and PHP's own syntax. It can execute dynamic web pages faster than CGI or Perl. Compared with other programming languages, PHP embeds the program into HTML (an application under the standard general markup language) document for execution, and the execution efficiency is much higher than that of CGI, which completely generates HTML markup; PHP can also execute compiled code, and the compilation can achieve encryption and optimize the code to run, making the code run faster. Part of the information of the business support module is entered through the front end, such as activity information entry, user participation data entry, and user registration information entry. The entered information is stored in the data management module.

The data management module adopts Mysql database. Mysql is a relational database management system developed by the Swedish MySQL AB company and is currently a product of Oracle. Mysql is one of the mainstream relational database management systems. In terms of WEB applications, Mysql is a very suitable relational database management system application software. User data is also stored in the data management module. It includes data such as user permissions, user groups, and user preferences.

The preference analysis module is developed in Python language. Python is an object-oriented interpreted computer programming language with rich and powerful libraries, often nicknamed the glue language, which can easily link various modules (especially C/C++) made in other languages together. Python accesses the activity-related data stored in Mysql through the mysqldb package, analyzes the activity-related data, then groups users and analyzes user preferences, and then returns the data analysis results to the data management module Mysql for storage. The business support module reads the data stored in the data management module and performs front-end display.

The preference analysis module performs analysis based on at least keywords and activity fields, where the keywords include keywords set when editing an activity and activity subject keywords obtained through activity descriptions using a topic classification method.

The system also provides the administrator with query services related to activity-related dimensions, the query services are provided through the REstfull architecture and JDBC, and the external query interface is provided through http.

Example 2

As shown in Figure 2, a personalized campus activity management method, used in the personalized campus activity management system, includes steps:

S210: The activity administrator publishes the activity to be performed on the platform;

S220: user browsing activity;

S230: The user enters the registration page for the activity of interest to register;

S240: The activity administrator reviews the applicants;

S250: Remind approved users to participate in the event before the event is held;

S260: Check-in management on the day of the event;

S270: Statistical analysis is performed on the activity after the activity ends.

The method also includes grouping users into groups of people participating in the activity according to keywords and activity fields, and issuing activity invitations to appropriate groups.

Example 3

Figure 4 shows the activity management, registration details and activity data interface of the personalized campus activity management system, wherein the activity management interface provides basic management functions for activities, through which the current activity information, including the activity ID, can be viewed , title, poster, location, field, launch time, etc., new activities can be added, activities can be edited, listed, deleted, registration details and activity data operations, and can be retrieved from the current data. By clicking the registration details in the corresponding event, you can enter the registration details interface of the event. In the registration details interface, the administrator can view the name, mobile phone number, email and other information of the user who signed up for the event, and can check the registration details of the event. The user conducts the review operation, and the user who has passed the review can click the activity notification button to manage the user notification. Through the activity data in the corresponding activity of the motor, you can enter the activity data interface, and through this interface, you can view the number of people who have passed the audit and the number of people who have not passed the audit in detail, and you can view the statistics of the number of people who have signed in.

As shown in Figure 5, when editing a single event, the event editing interface provides the event title, title introduction, sponsor, event information, channel, event method, event field, keywords, number of people, contact information, and event template fields , which allows administrators to edit individual activities accordingly. Among them, keywords and activity fields are important data analyzed by the preference analysis module. Through the keywords and activity fields of the activities that the user participates in, the activities that users are interested in can be analyzed, and then the user preference group creation and targeted activities can be obtained. Activity push provides the basis.

As shown in FIG. 6 , a preference group is created for the users participating in the activity through the activity field and keywords, and the group name and group introduction can be set at the same time. The keyword consists of two parts, one is the keyword setting of the activity when the administrator edits the activity, and the other is to obtain the topic keyword information of the activity through the activity description through the method of topic classification. Obtain the corresponding user information by checking the fields and keywords. When there is a new event, use domains and keywords to proactively send out event invitations to the right user groups.

As shown in Figure 7, to push activities, you can accurately push specific preference users through three methods: SMS, WeChat, and email.

It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the foregoing embodiments describe the present invention in detail, those skilled in the art should understand: The recorded technical solutions are modified, or some or all of the technical features thereof are equivalently replaced, and these replacements do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the present invention.

Claims (10)

1. A personalized campus activity management system comprises a service support module and a data management module, and is characterized in that: the preference analysis module comprises an activity theme analysis submodule, an activity keyword analysis submodule and an activity wind-age analysis submodule, and the activity theme analysis submodule classifies activities by utilizing an LDA theme model according to activity contents; the activity keyword analysis submodule analyzes according to activity keywords set when an activity manager creates an activity; and the activity wind period analysis submodule comprehensively measures the number of registration activities of the user, the number of approved activities and the number of activities which are not signed in, and determines the user wind period score.

2. The personalized campus activity management system of claim 1 wherein: the business support module comprises a user business submodule and an activity business submodule, wherein the user business submodule is used for user registration and login, activity registration and a user personal center, and the activity business submodule is used for management of creation and editing, putting on and off shelves, releasing, auditing, reminding, signing in, statistical analysis and the like of an administrator on an activity.

3. The personalized campus activity management system of claim 2 wherein: the data management module comprises an activity management submodule, a user grouping management submodule, an authority management submodule and a preference management submodule, wherein the activity management submodule is used for a background manager to create, update and delete the activity; the user grouping submodule is used for dividing user groups according to the preferences and keywords of different users; the authority management submodule is used for controlling different departments to manage the activities of the departments and the persons participating in the activities of the departments; and the preference management submodule is used for performing text mining on the active text content by using an LDA model and attaching preference labels.

4. The personalized campus activity management system of claim 3 wherein: the user wind-age score = (number of check-in activities/number of check-through activities) × ln (1+ number of user registration activities), and the sum of the number of check-in activities and the number of non-check-in activities is the number of check-through activities.

5. The personalized campus activity management system of claim 4 wherein: the data management module reads and stores the data of the business support module, and the preference analysis module reads and correspondingly analyzes the data stored in the data management module.

6. The personalized campus activity management system of claim 5 wherein: the preference analysis module returns the data obtained after analysis to the data management module for storage, and the service support module reads the data stored by the data management module and performs front-end display.

7. The personalized campus activity management system of claim 6 wherein: the preference analysis module analyzes based on at least keywords and a field of activity.

8. The personalized campus activity management system of claim 7 wherein: the keywords comprise keywords set during editing activities and activity topic keywords obtained through activity description by adopting a topic classification method.

9. A personalized campus activity management method for use in the management system of any one of claims 1 to 8, comprising the steps of:

an activity manager publishes an activity to be performed on the platform;

a user browsing activity;

the user enters an interested activity registration page to register;

the activity manager audits the registration personnel;

reminding the checked user to participate in the activity before the activity is held;

performing check-in management on the activity day;

and carrying out statistical analysis on the activities after the activities are finished.

10. The personalized campus activity management method of claim 9 wherein: the method also comprises the steps of grouping users of the crowd participating in the activity according to the keywords and the activity field and sending out activity offers to proper groups.

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