Explaining Reviews and Ratings with PACO: Poisson Additive Co-Clustering

    WWW '16: 25th International World Wide Web Conference Montréal Québec Canada April, 2016, pp. 127-128, 2016.

    Cited by: 18|Bibtex|Views150|Links
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    Abstract:

    Understanding a useru0027s motivations provides valuable information beyond the ability to recommend items. Quite often this can be accomplished by perusing both ratings and review texts. Unfortunately matrix factorization approaches to recommendation result in large, complex models that are difficult to interpret. In this paper, we attac...More

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