In this paper, we present a Web recommender system for recommending, predicting and personalizing music playlists based on a user model. We have developed a hybrid similarity match...
This research aims at reconciling web personalization with privacy constraints imposed by legal restrictions and by users’ privacy preferences. We propose a software product line...
The need for recommendation systems to ease user navigations has become evident by growth of information on the Web. There exist many approaches of learning for Web usage-based re...
Abstract. Large information spaces and complex functionality of contemporary systems together with the advent of the Semantic Web are big challenges for the design of simple yet po...
This paper presents a web page fragmentation technique, which is utilized for extracting specific parts of web pages and building personalized portals using these fragments. It is ...
Ioannis Misedakis, Vaggelis Kapoulas, Christos Bou...