Abstract | ||
---|---|---|
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. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1109/ASONAM.2010.41 | Advances in Social Networks Analysis and Mining |
Keywords | Field | DocType |
democratic voting rule,social network,memory-based collaborative,social networks,linking collaborative filtering,new approach,mentor selection,community detection algorithm,measurement,collaborative filtering,recommender systems,groupware,collaboration,motion pictures | Recommender system,World Wide Web,Social network,Collaborative filtering,Voting,Collaborative software,Computer science | Conference |
ISBN | Citations | PageRank |
978-0-7695-4138-9 | 3 | 0.42 |
References | Authors | |
3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Armelle Brun | 1 | 138 | 21.49 |
Anne Boyer | 2 | 106 | 18.08 |