Explaining reviews and ratings with PACO: Poisson Additive Co-Clustering
the web conference, Volume abs/1512.01845, 2016.
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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