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Linking Collaborative Filtering and Social Networks: Who are my Mentors?

Armelle Brun 1, * Anne Boyer 1 
* Corresponding author
1 KIWI - Knowledge Information and Web Intelligence
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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.
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Conference papers
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Contributor : Armelle Brun Connect in order to contact the contributor
Submitted on : Tuesday, October 5, 2010 - 2:11:50 PM
Last modification on : Friday, February 26, 2021 - 3:28:08 PM


  • HAL Id : inria-00523491, version 1



Armelle Brun, Anne Boyer. Linking Collaborative Filtering and Social Networks: Who are my Mentors?. The 2010 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010), Aug 2010, Odense, Denmark. ⟨inria-00523491⟩



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