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research article
The 3A Personalized, Contextual and Relation-based Recommender System
This paper discusses the 3A recommender system that targets CSCL (computer-supported 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
Type
research article
Web of Science ID
WOS:000289716600002
Authors
Publication date
2010
Published in
Volume
16
Issue
16
Start page
2179
End page
2195
Peer reviewed
REVIEWED
Available on Infoscience
December 1, 2010
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