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PERS: A Personalized and Explainable POI Recommender System
The major contributions of this paper are: (i) it models users and locations based on the aspects posted by user via reviews, (ii) it exploits a deep neural network to model the review-aspect category correlation, (iii) it provisions the incorporation of multiple contexts (e. g., categorical, spatial, etc.)
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