An Efficient Weighted Algorithm for Web Information Retrieval System

Abstract

Web Usage mining, also known as Web Log mining, is an application of data mining algorithms to Web access logs to find trends and regularities in Web users' traversal patterns. The results of Web Usage Mining have been used in improving Web site design, business and marketing decision support, user profiling, and Web server system performance. Web page prediction technique is a very important research area in web technologies. Mining is useful for web path traversal pattern from web logs. This paper presents an efficient algorithm for web page prediction from large web logs visited by a user. We assign a significant weight to each page based on time spent by user on each page, visiting frequency and click event done on each page.