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

Personalized campus activity management system and method Download PDF

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CN111581180A
CN111581180A CN202010213772.9A CN202010213772A CN111581180A CN 111581180 A CN111581180 A CN 111581180A CN 202010213772 A CN202010213772 A CN 202010213772A CN 111581180 A CN111581180 A CN 111581180A
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徐茜
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Beijing Union University
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract

The invention provides a personalized campus activity management system and a method, wherein the system comprises a business support module, a data management module and a preference analysis module, the preference analysis module comprises an activity theme analysis submodule, an activity keyword analysis submodule and an activity duration 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. The invention can realize the support of the whole process of the activity; meanwhile, the data of the registration activities and the participation conditions can be analyzed and mined, the preference of the user can be managed, and different crowds can be selected for propaganda according to different content activities.

Description

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 a personalized campus activity management method.
Background
The campus activities greatly enrich the campus life of students, and can meet the expanding requirements of the students on culture, entertainment, sports, outdoor quality and other aspects. The conventional campus activity publishing is mainly publicized through a campus portal website or a poster posting mode, activity creation, editing, publishing and the like can be performed on the campus portal website, but the campus portal website has incomplete support degree on the whole process of the activity, such as: electronic check-in can not be realized, and then the check-in condition can not be managed uniformly; the activity content is only published as a poster or on a campus portal website, so that classmates who do not visit the campus portal website or see no poster cannot acquire activity information timely and effectively, and further resource waste is caused; and meanwhile, the activity participation data cannot be further analyzed and processed.
At present, a large-scale activity platform, such as an activity tree, has a complete activity publishing and managing full process, and can publish activities through the activity tree, and has the advantages that the activity tree function and the process management are complete, but important data such as activities participating in related user behaviors and the like are mastered by the activity tree platform, schools cannot obtain related data, personalized services cannot be provided for students through further analysis on the data, and meanwhile, the cost for publishing activities by means of the platform is high.
Disclosure of Invention
In order to solve the technical problems, the invention provides a personalized campus activity management system and a personalized campus activity management method.
The personalized campus activity management system comprises a business support module, a data management module and a preference analysis module, wherein 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 using an LDA (latent Dirichlet Allocation) 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.
Preferably, the service support module comprises 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 management of creation and editing, shelf loading and unloading, publishing, auditing, reminding, check-in, statistical analysis and the like of an activity by an administrator.
In any of the above schemes, preferably, the data management module includes an activity management submodule, a user grouping management submodule, an authority management submodule, and a preference management submodule, where the activity management submodule is used for a background administrator to create, update, and delete an 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.
In any of the above schemes, preferably, 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.
In any of the above schemes, preferably, the data management module reads and stores the data of the service support module, and the preference analysis module reads and analyzes the data stored in the data management module.
In any of the above schemes, preferably, the preference analysis module returns the data obtained after the analysis to the data management module for storage, and the service support module reads the data stored in the data management module and performs front-end display.
In any of the above aspects, it is preferable that the preference analysis module performs analysis based on at least keywords and a field of activity.
In any of the above schemes, preferably, the keywords include keywords set during editing of the activity and activity topic keywords obtained through activity description by a topic classification method.
A personalized campus activity management method is used for the personalized campus activity management system and comprises the following steps:
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.
Preferably, the method further comprises user grouping of the population participating in the event according to the keywords and the field of the event and issuing an offer for the event to the appropriate grouping.
By adopting the personalized campus activity management system and the personalized campus activity management method, the support for the whole activity process can be realized; meanwhile, the data of the registration activities and the participation conditions can be analyzed and mined, the preference of the user can be managed, and different crowds can be selected for propaganda according to different content activities.
Drawings
Fig. 1 is an architecture diagram of a preferred embodiment of a personalized campus activity management system in accordance with the present invention.
Fig. 2 is a flow chart illustrating a method for personalized campus activity management according to a preferred embodiment of the present invention.
Fig. 3 is a technical architecture diagram of the embodiment of the personalized campus activity management system according to the present invention as shown in fig. 1.
Fig. 4 is a schematic view of the activity management interface of the personalized campus activity management system according to the embodiment of the invention shown in fig. 1.
Fig. 5 is a schematic view of the activity editing interface of the personalized campus activity management system according to the embodiment of the invention shown in fig. 1.
Fig. 6 is a schematic diagram of an activity preference group creation interface of the personalized campus activity management system according to the embodiment of the invention shown in fig. 1.
Fig. 7 is a schematic view of an activity push trigger interface of the personalized campus activity management system according to the embodiment of the invention shown in fig. 1.
Detailed Description
For a better understanding of the present invention, reference will now be made in detail to the following examples.
Example 1
As shown in fig. 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 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.
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; the preference management submodule is used for performing text mining on the active text content by using an LDA (latent Dirichlet allocation) model and attaching preference labels. The LDA model is a document theme generation model, is also called a three-layer Bayesian probability model, and comprises three layers of structures of words, themes and documents. By generative model, we mean that each word of an article is considered to be obtained through a process of "selecting a topic with a certain probability and selecting a word from the topic with a certain probability". Document-to-topic follows a polynomial distribution, and topic-to-word follows a polynomial distribution.
The preference analysis module comprises an activity theme analysis submodule, an activity keyword analysis submodule and an activity wind-era 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.
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.
As shown in fig. 3, the system adopts PHP language for front-end development. PHP (Hypertext Preprocessor) is a general open source scripting language. The grammar absorbs the characteristics of C language, Java and Perl, is beneficial to learning, is widely used and is mainly suitable for the field of Web development. The PHP unique syntax mixes the C, Java, Perl and PHP self-created syntax. It can execute dynamic web pages faster than CGI or Perl. Compared with other programming languages, the PHP embeds programs into HTML (an application under a standard general markup language) documents to be executed, and the execution efficiency of the PHP is much higher than that of CGI (common gateway interface) which completely generates HTML marks; the PHP can also execute the compiled code, and the compiling can achieve encryption and optimized code running, so that the code runs faster. And partial information of the service support module is input through the front end, such as activity information input, user participation data input, user registration information input and the like. The entered information is stored in the data management module.
The data management module adopts a Mysql database. Mysql is a relational database management system developed by MySQL AB, Sweden, and currently belongs to the product under Oracle. Mysql is one of the mainstream relational database management systems, and is very applicable to relational database management system application software in the aspect of WEB application. The data management module also stores user data. Including user permissions, user groups, and user preferences.
The preference analysis module is developed by adopting Python language. Python is an object-oriented interpreted computer programming language that has a rich and powerful library, often known as the glue language, that can easily join together various modules (especially C/C + +) made in other languages. The Python accesses the activity related data stored in the Mysql through the Mysql packet, analyzes the activity related data, further groups the users and analyzes the user preferences, and then returns the data analysis result to the data management module Mysql for storage. And the service support module reads the data stored by the data management module and performs front-end display.
The preference analysis module analyzes at least based on keywords and the activity field, wherein the keywords comprise keywords set during activity editing and activity topic keywords obtained through activity description by adopting a topic classification method.
The system also provides query service of activity-related dimensions for an administrator, the query service is provided through a REFtfull architecture and JDBC, and an external query interface is provided through http.
Example 2
As shown in fig. 2, a personalized campus activity management method for the personalized campus activity management system includes the steps of:
s210: an activity manager publishes an activity to be performed on the platform;
s220: a user browsing activity;
s230: the user enters an interested activity registration page to register;
s240: the activity manager audits the registration personnel;
s250: reminding the checked user to participate in the activity before the activity is held;
s260: performing check-in management on the activity day;
s270: and carrying out statistical analysis on the activities after the activities are finished.
The method also includes user grouping of the group of people participating in the campaign according to the keywords and the campaign domain and issuing a campaign offer to the appropriate grouping.
Example 3
Fig. 4 shows the activity management, entry details, and activity data interface of the personalized campus activity management system, where the activity management interface provides basic management functions for activities, and through the interface, information of current activities, including ID, title, poster, location, field, time on shelf, etc. of the activities can be viewed, new activities can be added, activities can be edited, put on shelf, deleted, entry details, and activity data operations can be performed, and at the same time, retrieval from current data can be performed. The entry details interface of the activity can be accessed by clicking the entry details in the corresponding activity, in the entry details interface, an administrator can check the information of the name, the mobile phone number, the mailbox and the like of the user who enters the activity, and can perform auditing operation on the user who enters the activity, and the user who passes the auditing operation can click the activity notification button to perform notification management on the user. The activity data in the corresponding activity of the motor can enter an activity data interface, the number of passing people and the number of failing people for auditing the activity can be checked in detail through the interface, and the counting condition of the number of the people signing in can be checked.
As shown in FIG. 5, when a single event is edited, the event editing interface provides the event's title, title profile, host, event information, channel, event mode, event field, keywords, people, contact information, and event template fields for the administrator to edit the single event accordingly. The keywords and the activity field are important data analyzed by the preference analysis module, and the activities in which the user is interested can be analyzed through the keywords and the activity field of the activities in which the user participates, so that a basis is provided for creating user preference groups and pushing targeted activities.
As shown in fig. 6, preference group creation is performed on users participating in an activity by the activity field and the keyword, and at the same time, a group name and a group profile can be set. The keywords are composed of two parts, one is set by an administrator for keywords of the activity when the activity is edited, and the other is to obtain topic keyword information of the activity through activity description by a topic classification method. And obtaining corresponding user information through checking the fields and the keywords. When new activities exist, the fields and keywords are utilized to actively send out activity invitations to proper user groups.
As shown in fig. 7, performing active push can realize accurate push for a user with specific preference through three ways, i.e., short message, WeChat and mailbox.
It should be noted that the above embodiments are only used for illustrating the technical solution of the present invention, and not for limiting the same; although the foregoing embodiments illustrate the invention in detail, those skilled in the art will appreciate that: it is possible to modify the technical solutions described in the foregoing embodiments or to substitute some or all of the technical features thereof, without departing 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.
CN202010213772.9A 2020-03-24 2020-03-24 Personalized campus activity management system and method Pending CN111581180A (en)

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Application publication date: 20200825