In the modern Web, users are accessing their favourite Web applications from any place, at any time and with any device. In this setting, they expect the application to user-tailo...
Sven Casteleyn, William Van Woensel, Geert-Jan Hou...
Web users clustering is a crucial task for mining information related to users needs and preferences. Up to now, popular clustering approaches build clusters based on usage pattern...
Sophia G. Petridou, Vassiliki A. Koutsonikola, Ath...
Twitter, a micro-blogging service, provides users with a framework for writing brief, often-noisy postings about their lives. These posts are called "Tweets." In this pa...
Abstract. In this paper we propose an incremental item-based collaborative filtering algorithm. It works with binary ratings (sometimes also called implicit ratings), as it is typi...
In previous works, we showed how sequential pattern mining can be used to extract a partial problem space from logged user interactions for a procedural and ill-defined domain wher...
Philippe Fournier-Viger, Roger Nkambou, Engelbert ...