Matches in SemOpenAlex for { <https://semopenalex.org/work/W3170262904> ?p ?o ?g. }
- W3170262904 abstract "Existing conversational recommendation (CR) systems usually suffer from insufficient item information when conducted on short dialogue history and unfamiliar items. Incorporating external information (e.g., reviews) is a potential solution to alleviate this problem. Given that reviews often provide a rich and detailed user experience on different interests, they are potential ideal resources for providing high-quality recommendations within an informative conversation. In this paper, we design a novel end-to-end framework, namely, Review-augmented Conversational Recommender (RevCore), where reviews are seamlessly incorporated to enrich item information and assist in generating both coherent and informative responses. In detail, we extract sentiment-consistent reviews, perform review-enriched and entity-based recommendations for item suggestions, as well as use a review-attentive encoder-decoder for response generation. Experimental results demonstrate the superiority of our approach in yielding better performance on both recommendation and conversation responding." @default.
- W3170262904 created "2021-06-22" @default.
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- W3170262904 date "2021-06-02" @default.
- W3170262904 modified "2023-09-23" @default.
- W3170262904 title "RevCore: Review-augmented Conversational Recommendation" @default.
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- W3170262904 doi "https://doi.org/10.48550/arxiv.2106.00957" @default.
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