TriRank: Review-aware Explainable Recommendation by Modeling Aspects

Abstract

Most existing collaborative filtering techniques have focused on modeling the binary relation of users to items by extracting from user ratings. Aside from users' ratings, their affiliated reviews often provide the rationale for their ratings and identify what aspects of the item they cared most about. We explore the rich evidence source of aspects in user… (More)
DOI: 10.1145/2806416.2806504
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@inproceedings{He2015TriRankRE, title={TriRank: Review-aware Explainable Recommendation by Modeling Aspects}, author={Xiangnan He and Tao Chen and Min-Yen Kan and Xiao Chen}, booktitle={CIKM}, year={2015} }