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Hierarchical User and Item Representation with Three-Tier Attention for Recommendation
2019
Proceedings of the 2019 Conference of the North
Utilizing reviews to learn user and item representations is useful for recommender systems. Existing methods usually merge all reviews from the same user or for the same item into a long document. However, different reviews, sentences and even words usually have different informativeness for modeling users and items. In this paper, we propose a hierarchical user and item representation model with threetier attention to learn user and item representations from reviews for recommendation. Our
doi:10.18653/v1/n19-1180
dblp:conf/naacl/WuWLH19
fatcat:rjccuuj6s5hu7kw4dagjlxbovq