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Matrix Factorization Method for Decentralized Recommender Systems
April 28, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Wenjie Zheng
arXiv ID
1604.08420
Category
cs.IR: Information Retrieval
Cross-listed
cs.DC
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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