Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation

WWW '20: The Web Conference 2020 Taipei Taiwan April, 2020, pp. 837-847, 2020.

Cited by: 3|Bibtex|Views89|DOI:https://doi.org/10.1145/3366423.3380164
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Other Links: dl.acm.org|academic.microsoft.com|dblp.uni-trier.de

Abstract:

In many recommender systems, users express item opinions through two kinds of behaviors: giving preferences and writing detailed reviews. As both kinds of behaviors reflect users’ assessment of items, review enhanced recommender systems leverage these two kinds of user behaviors to boost recommendation performance. On the one hand, resear...More

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