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[1604.08420] Matrix Factorization Method for Decentralized Recommender Systems
source link: https://arxiv.org/abs/1604.08420
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[Submitted on 28 Apr 2016]
Matrix Factorization Method for Decentralized Recommender Systems
Decentralized recommender system does not rely on the central service provider, and the users can keep the ownership of their ratings. This article brings the theoretically well-studied matrix factorization method into the decentralized recommender system, where the formerly prevalent algorithms are heuristic and hence lack of theoretical guarantee. Our preliminary simulation results show that this method is promising.
Subjects:
Information Retrieval (cs.IR); Distributed, Parallel, and Cluster Computing (cs.DC)
Cite as:
arXiv:1604.08420 [cs.IR]
(or
arXiv:1604.08420v1 [cs.IR] for this version)
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