Collaborative and Social Information Retrieval and Access : Techniques for Improved User Modeling

Professionals are continually presented with numerous information sources creating the need to determine their relevance within the huge amount of available information. Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling presents current state-of-the-art developments including case studies, challenges, and trends. Covering topics such as recommender systems, user profiles, and collaborative filtering, this book informs and educates academicians, researchers, and field practitioners on the latest advancements in information retrieval.

Max Chevalier is an associate professor in computer science at the University Paul Sabatier of Toulouse III (France) since 2002. His research addresses user centered approaches in information systems like personalization, visual information retrieval interface, social computing. He conducts research on these topics within the Toulouse Computing Research Laboratory (IRIT - UMR 5505).

Christine Julien is an associate professor in computer science at the University Paul Sabatier of Toulouse III (France) since 1989 and carries out her research at the Toulouse Computing Research Laboratory (IRIT - UMR 5505). She initially worked in document engineering and particularly in structured documents and hypertext documents. Her current works are oriented on personalized information access on the web using social approaches.

Chantal Soulé-Dupuy received a PhD degree in computer science from the University of Toulouse 3 (France, 1990). She is currently professor of computer science at the University of Toulouse 1 and serves as the head of the department of computer science (since November 2003). Her recent research addresses information modeling and retrieval in digital libraries, personalized and social search. She conducts and supervises research on these topics within the Toulouse Computing Research Laboratory (IRIT - UMR 5505).