Design And Implementation Of Pension Service Recommendation System Based On The Portrait Of The Subject Of Supply And Demand

With the accelerated aging of the population and the increasing demand for pension services,the pension service industry has grown rapidly.The pension service platform provides many kinds of pension services.However,most pension service platforms can not identify the real needs of users,and it is difficult to achieve precise recommendation.The elderly and their families can not choose suitable and reliable pension services from many pension services,resulting in low user stickiness of the pension service platforms.Therefore,understanding the needs of the elderly and their families and recommending the appropriate pension services have become an important topic in the research of the elderly service industry.This paper will design and implement a pension service recommendation system based on the portrait of the subject of supply and demand.The user portrait model and the pension service provider portrait model will be established for the institutional pension services.A trusted network based on user trust model will be built and a recommendation algorithm based on PersonalRank will be proposed.Design the key functional modules detailedly and implement the recommendation system,from the following four aspects:First,the user portrait model and the pension service provider portrait model are established according to the research of the portrait of the subject of supply and demand.Analyze the user’s static information and dynamic behavior to obtain the real and changing needs of the user so as to establish the user portrait model.Analyze the basic information and service characteristics of the pension service provider to obtain the characteristics of the pension service provider so as to establish the pension service provider portrait model.Therefore,the scope of recommending pension services to users is reduced and the accuracy of recommendations is improved.Secondly,in this paper,a recommendation algorithm based on trusted network is proposed to solve the problem of precise recommendation of the pension service platform.Calculate trust between users and trust between users and pension services.Establish the user trust model and build the trusted network.The recommendation algorithm based on PersonalRank is applied to each trusted network.At last,recommend personalized and trusted pension services to users.Thirdly,the service recommendation system is designed from the architecture,functional modules and databases.In this paper,the architecture of the pension service recommendation system is designed from the overall architecture and software architecture.Define the type and format of the data required in the system.XML file and API interface are provided to import data.Design the RESTful interface for system function.In addition,design the core function modules of the system from the class diagram,sequence diagram and database entity relationship.Finally,based on the research of the portrait model and the pension service recommendation algorithm,according to the design of the pension service recommendation system,the pension service recommendation system based on the portrait of the subject of supply and demand is implemented.Test the function and performance of the recommendation system for the pension service.