Developing a simple web recommender system

Abstract

The quantity of accessible information on the Web continues to grow rapidly and has far exceeded human processing capabilities. This problem highlights the pressing need for intelligent Web applications that simplify information access and content discovery by taking into the users preferences and needs then delivering services in a way most valuable and convenient to users. A Web recommender system is very interested for efficiently browsing e-commerce or news websites. It is necessary to recommend relevant items to Web users so that they can reach things they want in short time. This study aims to develop a simple Web recommender system of a website, e.g. Wikipedia, using data mining techniques.