The Desgin And Implementation Of Personal Commidtity Recommendation System For Baoshang Bank

The personalized e-commerce recommendation system,a reduction of the users to browse their own needs and the related information in the mass information,minimizing the cost of the user’s browsing but also to provide users with a convenient,on the other hand,the market demand forced transformation of e-commerce platform to make corresponding changes to adapt to the increasingly fierce market environment.With the rapid development of e-commerce,e-commerce gradually applied to different industries,the banking industry is one of them.Bank business and the electronic commerce have close contact,the development of e-commerce has greatly affected the bank’s traditional business,combined with e-commerce,the development of e-commerce has greatly influenced the development of e-commerce,makes the electronic commerce develop quickly;Under the development of e-commerce,traditional banking business has got great impacts,against with many difficulties.How to ensure the quality of service,increase the level and requirement of service,further reduce costs,increase profits,adapt to the development of it need us to consider the serious problem.In this paper,used the recommendation system technology and algorithm to design the personalized recommendation system of bank products according to the characteristics of the banking industry.Provide good ideas and suggestions to help the banking system connect with and find a point to in to electronic commerce,development of e-commerce business with its own.The main work done in this paper includes:1.In this paper,first research the existing circumstances of the bank and propose the methods of solving the establishment of the system.then,we analyzes the research to the related theory technology,including the data mining correlation technology,as well as the recommendation system outline and the recommendation algorithm.2.On the basis of analyzing the requirements of the new system,the main functions of the system are designed in detail.The business logic flow chart and the corresponding functional block diagram of the system are given.The hardware and performance requirements of the system are further analyzed.3.The collaborative filtering recommendation algorithm based on commodity isintroduced into the recommendation system of bank products.The specific methods and steps introduced by the algorithm are analyzed,and the feasibility of the algorithm is proved by experiments.4.In the end,we make a test to checkout the recommendation system with real data,the testing results shows that the system is satisfied with the business needs of BAOSHANG Bank.