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Improving Cross-domain Recommendation through Probabilistic Cluster-level Latent Factor Model--Extended Version

24 Sep 2014 • Siting Ren • Sheng Gao

Cross-domain recommendation has been proposed to transfer user behavior pattern by pooling together the rating data from multiple domains to alleviate the sparsity problem appearing in single rating domains. However, previous models only assume that multiple domains share a latent common rating pattern based on the user-item co-clustering... (read more)

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Improving Cross-domain Recommendation through Probabilistic Cluster-level Latent Factor Model--Extended Version

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