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

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

Indexed In: SCOPUS
Release Date: April, 2009|Copyright: © 2009 |Pages: 390
DOI: 10.4018/978-1-60566-306-7
ISBN13: 9781605663067|ISBN10: 1605663069|EISBN13: 9781605663074
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Actor Network Theory
  • Adaptive information retrieval
  • Adaptive user profiles
  • Adaptive Web site
  • Collaborative Filtering
  • Communal tag relationships
  • Context-aware user query formulation
  • E-learning recommender systems
  • Personalized information retrieval
  • Semantic-based learning environment
  • User competencies modeling
  • User modeling in CSIRA
Reviews & Statements

This book presents operational and innovative ideas to integrate user modeling in order to improve Collaborative and Social Information Access and Retrieval effectiveness.

– Max Chevalier, University of Toulouse, IRIT (UMR 5505), France

Written for students and practitioners of information science, cognitive science, and computer science, these articles cover a wide range of topics.

– Book News Inc. (March 2009)
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Editor/Author Biographies
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).
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Editorial Advisory Board
Editorial Advisory Board Members

  • Catherine Berrut, Laboratoire LIG, France
  • Guillaume Cabanac, Université Paul Sabatier, France
  • Sylvie Calabretto, LIRIS-INSA Lyon, France
  • Alexander Felfernig, Universität Klagenfurt, Austria
  • Susan Gauch, Computer Science & Computer Engineering, USA
  • Melanie Gnasa, University of Bonn, Germany
  • Gilles Hubert, Université Paul Sabatier, France
  • Philippe Lopisteguy, Université de Pau et des Pays de l’Adour, France
  • Phivos Mylonas, Image, Video and Multimedia Systems Laboratory [IVML], Greece
  • David Vallet, Universidad Autónoma de Madrid, Spain
  • Mark van Setten, Telematica Instituut, The Netherlands