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Lecture Notes in Computer Science
Recommender System has become one of the most important techniques for businesses today. Improving its performance requires a thorough understanding of latent similarities among users and items. This issue is addressable given recent abundance of datasets across domains. However, the question of how to utilize this cross-domain rich information to improve recommendation performance is still an open problem. In this paper, we propose a cross-domain recommender as the first algorithm utilizingdoi:10.1007/978-3-319-57529-2_48 fatcat:arflxmeoxvafnnxfkh5shrvyfa