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JUCS
2010

The 3A Personalized, Contextual and Relation-based Recommender System

8 years 3 months ago
The 3A Personalized, Contextual and Relation-based Recommender System
Abstract: This paper discusses the 3A recommender system that targets CSCL (computersupported collaborative learning) and CSCW (computer-supported collaborative work) environments. The proposed system models user interactions in a heterogeneous graph. Then, it applies a personalized, contextual, and multi-relational ranking algorithm to simultaneously rank actors, activity spaces, and assets. The results of an empirical evaluation carried out on an Epinions dataset indicate that the proposed recommendation approach exploiting the trust and authorship networks performs better than user-based collaborative filtering in terms of recall.
Sandy El Helou, Christophe Salzmann, Denis Gillet
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where JUCS
Authors Sandy El Helou, Christophe Salzmann, Denis Gillet
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