Design And Implementation Of Personalized Recommendation System

With the development of Internet, the life of people more and more dependenton the network, people are the most basic food and clothing live line has beenassociated with the network, thus to provide online shopping services e-commercesystem is becoming more and more important role in today’s society, and hasgradually become the backbone of our emerging industry, but due to the amount ofinformation is more and more big, the electronic commerce system faces greatchallenges Recommendation system can effectively solve the various problems arecaused by information’s mad, but recommendation system also has its own problems,such as cold start problems, data sparseness, recommendation accuracy problemand so on.This paper is dedicated to mix recommended by the design and implementationof e-commerce recommendation system study a variety of methods, includingcollaborative filtering algorithms, based on the principle, the contentrecommendation, and method of association rules is recommended on the basis ofthe comparative study of these algorithms, the mixed recommended way to achievethe function of system is recommended, using different methods to different usersfor he recommended products, such as using slope-one algorithm is recommendedto the user information is scarce commodity, only a small amount of purchaserecords, but did not fill in the personal information of users; Using the method basedon content, to fill in the personal information only, but didn’t buy records userrecommend commodities; Based on nearest neighbor this recommendation to thehigher accuracy of the algorithm more active users to recommend commodities,namely the rich information, fill in the personal information, at the same time havemore purchase records and other active users, this method not only effectivelysolved the problem of cold start data sparseness, also improve the accuracy ofrecommendation.Then the system demand analysis, by consulting the user, brainstorming and aseries of related technical work completed on the system requirements analysis,mainly from the functional requirements and non-functional requirements,performance requirements, namely two angles to the demand of the system wasintroduced, the use case diagram is used to describe the demand of the users of thesystem. Then on the basis of system requirements analysis, the design of system indetail, first of all on the system architecture design, and then on this basis, from theangles of the front desk and the background of system to complete the processdesign, next to the system database design, and through the e-r diagram and theclass diagram shows the key to the system and the design of the data table. System consists of the main functions of the electronic commerce system, andcan according to the different needs of different customer information, to thepersonalized recommendation.