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Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains

ACM transactions on office information systems(2016)

Cited 37|Views90
Key words
Recommender systems,cross-domain collaborative filtering,weighted irregular tensor factorization,probabilistic matrix factorization,multi-task learning
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