Scalable Recommendation with Poisson Factorization

CoRR, 2013.

Cited by: 77|Bibtex|Views75|Links
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Abstract:

We develop a Bayesian Poisson matrix factorization model for forming recommendations from sparse user behavior data. These data are large user/item matrices where each user has provided feedback on only a small subset of items, either explicitly (e.g., through star ratings) or implicitly (e.g., through views or purchases). In contrast t...More

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