Design And Implementation Of Volunteer Activity Management System Based On Hybrid Recommendatio

Traditional organization and management of volunteer activities have problems such as the small scope of voluntary information release and low efficiency of activity organization and management.Under the background of vigorously developing social civilization and highly informatized society,it has gradually been unable to meet the needs of the rapid development of voluntary services.Based on the current deficiencies in the organization and management of voluntary activities,this article designs and implements a voluntary activity management system,which can realize online application and approval of voluntary activities,online release of activity information,online appointments for voluntary activities,and activity data information Online management and analysis,etc.,can effectively promote the development of voluntary activities.Regarding the voluntary activity management system,this article first analyzes the requirements from the functional and nonfunctional aspects,and gives a detailed description of the overall architecture design of the system.Based on specific needs,the volunteer activity management system is structured into two parts: PC and mobile.The whole system is constructed based on the Spring Boot framework,using My SQL database,and using Redis to realize the data caching function to optimize the corresponding modules of the system.On the PC side of the system,RSA encryption is used to protect the transmission of account passwords,timed tasks are used to complete the related work of volunteer activity management,and Redis is used to cache hot data to improve the response speed of the system.In the mobile terminal of the system,the authorized login,Tencent map,QR code scanning and template message provided by wechat official are mainly used to assist in realizing the corresponding functions of the system.At the same time,in the reservation activity module of the mobile terminal of the system,use a hybrid recommendation algorithm to provide volunteers with personalized recommendations for volunteering activities.First,an activity recommendation is generated through a recommendation algorithm based on user profile.For the time-consuming problem of real-time recommendation,the k-means algorithm is used to cluster the volunteers to reduce the time of recommendation generation.And then combined with the content-based recommendation algorithm to solve the problem of project cold start.Finally,the main work of this paper is summarized,and the future prospect of the system is prospected.The volunteer activity management system designed and implemented in this paper has passed the functional and non functional tests,and achieved good results during the trial operation,which provides great help to the organization and development of volunteer activities.The research results of this paper have certain practical significance to promote the development of voluntary service in this area.