Online reviews are often accompanied with numerical ratings provided by users for a set of service or product aspects. We propose a statistical model which is able to discover cor...
Several rule discovery algorithms have the disadvantage to discover too much patterns sometimes obvious, useless or not very interesting to the user. In this paper we propose a new...
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Mobile devices are becoming an inseparable part of our lives and personalized location-based mobile services are gaining more and more popularity. The scope of this paper is to il...
HTTP cookies have been widely used for maintaining session states, personalizing, authenticating, and tracking user behaviors. Despite their importance and usefulness, cookies hav...