This article presents a hierarchical context monitoring and composition framework that effectively supports next-generation context-aware services. The upcoming ubiquitous space w...
As online social networks (OSN) attempt to mimic real life social networks, we have made progress towards using OSNs to provide us with data to allow for richer and more robust onl...
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...
Information visualization shows tremendous potential for helping both expert and casual users alike make sense of temporal data, but current time series visualization tools provid...
Abstract. In this paper, we propose a framework to improve the relevance of awareness information about people and subjects, by adapting recommendation techniques to real-time web ...