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Reviews are collaboratively generated by users on items and generally contain rich information than ratings in a recommender system scenario. Ratings are modeled successfully with latent space models by capturing interaction between users and items. However, only a few models collaboratively deal with documents such as reviews. In this study, by modeling reviews as a three-order tensor, we propose...
A variety of generative topic models have been successfully applied to model corpus of documents with continuous metadata. But there is no efficient model dealing with documents having a user-item-word structure. This structure forms a 3-way text tensor, and texts correlate with each other through users and items. In this paper we propose an elegant Tensor topic model (TTM) for text tensors inspired...
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