College Community Information Online Platform Based On Intelligent Algorithm

As an important carrier for colleges and universities to implement the fundamental task of cultivating students by virtue and promoting students’ quality-oriented education,the management methods and methods of student associations should also keep pace with The Times,meet the application needs of the current information age and cater to the use habits of student groups.At present,the affairs management and activity promotion of college student associations are in a single form,and the process is complicated.In order to improve the efficiency of the community information platform and meet the personalized needs of students to choose to join the community and participate in the community activities,an online information platform for colleges and universities is built by combining the intelligent recommendation algorithm.In the Internet USES the method of scientific and standardized management,on the basis of solving the present university information management and push simplification,inefficiency,not accurate,so as to promote the data fusion and student community management services,accelerate the student community data "general",further improve the university community management and service level.This system starts from the demand analysis of the work flow of college community publicity,management and activity organization,takes the current situation of management and operation of part of Tianjin University community as the reality as usual,and constructs an online platform of college community information based on intelligent algorithm with information recommendation and interactive preference setting.Bureau group includes the system service platform and the management background,combined with the application of information integration of recommended background and business requirements,and sums up out of the function modules of this system was designed and implemented based on user behavior analysis,based on association rules and user-based collaborative filtering recommendation algorithm,such as information system module,recommended to the university student to carry on the personalized interactive information,To improve the promotion efficiency of associations and meet students’ individual needs to participate in associations and activities;At the same time,it can satisfy the convenient operation of online information transmission and management of college communities.In this system,the front-end framework Vue is used to implement the interface and interaction logic,and the server uses Node.js and Python Surprise development framework to develop the interface.The development of this system adopts mature technology,strong expansibility,functional modules can be reused.The actual deployment and application of the project show that the system can not only meet the needs of college students’ community management,but also meet the differentiated needs of different students’ individual for community information through personalized recommendation algorithm.