Title
Linking Collaborative Filtering and Social Networks: Who Are My Mentors?
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 Brun113821.49
Anne Boyer210618.08