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2009 13th International Conference on Computer Supported Cooperative Work in Design
A trust-based recommender system for collaborative networks
Santiago, Chile
April 22-April 24
ISBN: 978-1-4244-3534-0
Leonardo Zanette, Federal University of Rio de Janeiro - UFRJ, Brazil
Claudia L.R. Motta, Federal University of Rio de Janeiro - UFRJ, Brazil
Flavia Maria Santoro, Department of Applied Informatics - Federal University of the State of Rio de Janeiro - UNIRIO, Brazil
Marcos Elia, Federal University of Rio de Janeiro - UFRJ, Brazil
Collaborative networks are composed by people from all over and all kind of background that meet to exchange common experience. The great challenge lies in finding significant, reliable information in view of the swelling volume of information output. Recommender systems emerged as a solution to reduce the problem of information overload. Collaborative Filtering (CF) technique in particular automates the recommendation process by building on users' opinions of items in a community. However CF has limitations named cold start and first rater. The goal of this paper is to present a model using trust to minimize those problems.
Citation:
Leonardo Zanette, Claudia L.R. Motta, Flavia Maria Santoro, Marcos Elia, "A trust-based recommender system for collaborative networks," cscwd, pp.197-202, 2009 13th International Conference on Computer Supported Cooperative Work in Design, 2009
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