In this paper we propose to integrate Information Extraction and Adaptive Personalization in order to empower information access and Web search experience. We describe the PIE (Per...
Nirmala Pudota, Paolo Casoto, Antonina Dattolo, Pa...
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
This paper presents an XML-based Adaptive Hypermedia Model (XAHM) and its modular architecture, for modelling and supporting Adaptive Hypermedia Systems, i.e. hypertext-based multi...
Web browsing is a complex activity and in general, users are not guided during browsing. Our hypothesis is that by using Semantic Web technologies and personalization methods, brow...
Information relevance is an important issue in information access techniques. A solution for improving this relevance is the personalization or adaptation of the answers provided ...