We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
Personalized Web search has emerged as one of the hottest topics for both the Web industry and academic researchers. However, the majority of studies on personalized search focuse...
Jae-wook Ahn, Peter Brusilovsky, Daqing He, Jonath...
In this paper we present WebPS, an open-source web-enabled simulator for P systems, and a P accelerator for parallelization of the existing sequential simulators. The simulator is ...
Cosmin Bonchis, Gabriel Ciobanu, Cornel Izbasa, Da...
Current adaptive systems acquire information about users mainly by simple tracking of resources, a user has requested and by asking users to supply the needed information. In this ...
In this article, we present the GI-Cat web service: a SOAP-based service which provides the basic functionalities for GI dataset cataloguing and access. The introduced GI-Cat data...
Lorenzo Bigagli, Stefano Nativi, Paolo Mazzetti, G...