Knowledge-Enhanced Conversational Recommendation via Transformer-Based Sequential Modeling
In conversational recommender systems (CRSs), conversations usually involve a set of items and item-related entities or attributes, e.g., director is a related entity of a movie. These items and item-related entities are often mentioned along the development of a dialog, leading to potential sequent...
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Veröffentlicht in: | ACM transactions on information systems 2024-11, Vol.42 (6), p.1-27, Article 162 |
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