Recommender systems apply statistical and knowledge discovery techniques to the problem of making recommendations during live user interaction. This paper describes a novel approa...
Web 2.0 provided internet users with a dynamic medium, where information is updated continuously and anyone can participate. Though preliminary analysis exists, there is still lit...
Konstantinos N. Vavliakis, Andreas L. Symeonidis, ...
In this paper, we present a folksonomy-based approach for implicit user intent extraction during a Web search process. We present a number of result re-ranking techniques based on...
As meta-data become of ever more importance to the Web, we will need to start managing such meta-data. We argue that there is a strong need for meta-data validation and aggregation...
Semantic Web applications tests show that their usability is seriously compromised. This motivates the exploration of alternative interaction paradigms, different from the "tr...