This paper proposes a new approach of mentor selection in memory-based collaborative filtering when no rating is available. Users are represented under the form of a social network. The selection of mentors is performed through the use of a community detection algorithm used in the frame of social networks. It allows to recommend items to a given user, by applying democratic voting rules within his community.
Published in:
Advances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on
Date of Conference: 9-11 Aug. 2010