Scalable Recommendation with Hierarchical Poisson Factorization

UAI, pp. 326-335, 2015.

Cited by: 166|Bibtex|Views109
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

We develop hierarchical Poisson matrix factorization (HPF), a novel method for providing users with high quality recommendations based on implicit feedback, such as views, clicks, or purchases. In contrast to existing recommendation models, HPF has a number of desirable properties. First, we show that HPF more accurately captures the long...More

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