Personalized Recommendation Based On The Network Of School Co-operation System Design And Implementation

Children pullulation and education can't leave school and family, no other than school and family come into being the resultant force that capacity farthest acc elerate children pullulation,In long-term school and family attach importance tocooperant education.and many cooperant education ways appear too. With informat ion times. Network be applied various domain, it is put forward a wide variety o f cooperative educational forms. New information service is individual and initi ative .How to gain useful knowledge and efficiently from lots of data and inform ation , and how to satisfy all kinds of individual requires of users etc ,are theresolving subject of new information service system will face with . This paper firstly describes the technique for making personal recommendations a nd user modeling .and detailed introduce two technique in electronic business. S econdly it applies the technique to family-school cooperant system ,and developsa support personalized recommendations family-school cooperant system which canautomatically provide resources(include page datum and courseware etc) that eve ry user is fond of .At last , we discuss the design and implementation of the fun ction . in personal recommendation design. include four recommending way, cotent customize, relativing recommendation with children of users, teacher recommendatio n and system recommendation. We providing resources for users are according to th e track records of users and the system ,which include the browsed resources, br owsed frequency, duration time, the collected resources and the downloaded resou rces .Through the analysis of the track records , we can gain the interest of theuser for resources , and find the neighbors for him , so that we can recommend re sources to him.This paper have used CF-based recommendation and clustering technique. We firstl y classify all users with clustering arithmetic, secondly we find neighbors for e very users , at last we generate recommendations for every user .The information of each step requires is dealt with, and we choose on off-line opportunity to sta rt complicated operation to increase the efficiency of the system . This paper have chosen the multilayer structure and used MVC model and Java as m ain development language in developing the system .We use SQL Server 2k of the M icrosoft company as the background database management system ,and Jbuilder X ofBorland as the development and testing environment ,and opening Apache Tomcat5. 0 Application Server as the background server .In the test environment , the syst em has be running for three months . We analysed gained the data . It is proved that the result of is good .