Learn More
This paper proposes a new approach using a multi agents system for personalizing the information source selection. Most prior research for information source selection focused on selecting the sources that has the most relevant content according to the query but ignored the user’s specific needs. Our approach extends the state of the art in(More)
The emergence of new communication technologiesand the latest generation of smart-phone devices, allow the user to continuously access the Web, at any time and from any location with different devices. The introduction of the user and his environment in the research process is intended to solve the information overload problem and to increase the accuracy(More)
Several works in user-centered personalized information retrieval treat independently the user's mobile and social contexts, and they develop and exploit separately the social and situational user profiles to improve the information access process. We propose, in this paper, a personalized information retrieval approach combining the social and situational(More)
  • 1