We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real us...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...
We describe the web usage mining activities of an on-going project, called ClickWorld3 , that aims at extracting models of the navigational behaviour of a web site users. The model...
Miriam Baglioni, U. Ferrara, Andrea Romei, Salvato...
PageRank (PR) is one of the most popular ways to rank web pages. However, as the Web continues to grow in volume, it is becoming more and more difficult to crawl all the available...
The automatic identification of a user's task has the potential to improve information filtering systems that rely on implicit measures of interest and whose effectiveness ma...
People display regularities in almost everything they do. This paper proposes characteristics of an idealized algorithm that would allow an automatic extraction of web user profil ...
Younes Hafri, Chabane Djeraba, Peter L. Stanchev, ...