. EFFECTIVE PREDICTION OF WEB-USER ACCESSES: A DATA MINING APPROACH
A. Alexandros Nanopoulos, Dimitrios Katsaros, Yannis Manolopoulos · 2001
The problem of predicting web-user accesses has recently attracted significant attention. Several algorithms have been proposed, which find important applications, like user profiling, recommender systems, web prefetching, design of adaptive web sites, etc. In all these applications the core issue is the developement of an e#ective prediction algorithm. In this paper, we focus on web-prefetching, because of its importance in reducing user perceived latency present in every Web-based application. The proposed method can be easily extended to the other aforementioned applications.