The Design And Implementation Of Personal Resource Recommendation In Network Educational Resource Management System

With the development and maturity of computer and network technology, and the growth of educational attention degree of various countries, network education is popularized day by day in countries all over the world. The way to obtain information is expanded from classroom, laboratory and library to any place that Internet covers. However, the network is only the information carrier, the drawn and sharing of information resources is the purpose of people using the network .To take advantage of network education, there must be abundant network resources and we must can organize and manage the resources effectively at the same time.NERMS (Network Educational Resource Management System) is a great project sponsored by Science Committee of JiLin Province and assigned to Knowledge Engineering Lab of the Institute of Computer Science and Technology in JiLin University. The aim of the project is to organize and manage various kinds of educational resources effectively so that people can share and gain them efficiently and can increase the speed of developing network education .New information service is individual and initiative .How to gain useful knowledge efficiently from lots of data and information ,how to gain the newest information immediately from rapid exploding information ,how to increase the level of retrieving and pushing the information intelligently ,and how to satisfy all kinds of individual requires of users etc ,are the challenge subject of new information service system will face with .In this system ,we provide an individual page for every user to satisfy their individual requirements .Every user has the right of choosing the content of his individual page .An important part of individual page is the resource list which is provided automatically by the system according to everyone's interest and action character .This function provides an immediate and convenient approach for users to find their own fond resources in all kinds of resources.This paper firstly describes the technique for making personal recommendations .Secondly it applies the technique to NERMS ,and develops a personalized page which can automatically provide resources that every user is fond of .At last ,we discuss the design and implementation of the function .We providing resources for users are according to the track records of users and the system ,which include the browsed resources, the downloaded resources and the collected resources .Through the analysis of the track records ,we can gain the interest of the user ,and find the neighbors for him ,so that we can recommend resources to him.We have used CF-based recommendation and clustering technique . There are three steps to generate recommendations .We firstly classify all users with clustering arithmetic ,secondly we find neighbors for every users ,at last we generate recommendations for every user .The information of each step requires is dealt with Dimension Reduction and Densification, and we choose the best opportunity to start each operation to increase the efficiency of the system .We have chosen the multilayer structure and used MVC model and J2EE technology in developing the system .We use DB2 of the IBM company as the background database management system ,and IBM WebSphere Studio Application Developer as the development and testing environment ,and IBM WebSphere Application Server as the background server .In the test environment ,the system has be running for three months . The process of the development is clarity and agility .It is proved that the result of recommendations is good .