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Critiquing for Music Exploration in Conversational Recommender Systems.

, , and . IUI, page 480-490. ACM, (2021)

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Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems., , and . CHI, page 489:1-489:14. ACM, (2022)Towards a Taxonomy of User Feedback Intents for Conversational Recommendations., and . RecSys (Late-Breaking Results), volume 2431 of CEUR Workshop Proceedings, page 51-55. CEUR-WS.org, (2019)Factors Influencing the Perceived Meaningfulness of System Responses in Conversational Recommendation., , and . IntRS@RecSys, volume 3534 of CEUR Workshop Proceedings, page 19-34. CEUR-WS.org, (2023)Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults., , , , , and . CHI, page 1012:1-1012:17. ACM, (2024)A Survey on Conversational Recommender Systems, , , and . ACM Computing Surveys, 54 (5): 1--36 (June 2021)Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations., and . UMAP, page 33-42. ACM, (2020)MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction., , , , and . CIKM, page 951-960. ACM, (2019)Critiquing for Music Exploration in Conversational Recommender Systems., , and . IUI, page 480-490. ACM, (2021)Transfer to Rank for Heterogeneous One-Class Collaborative Filtering., , , , , , and . ACM Trans. Inf. Syst., 37 (1): 10:1-10:20 (2019)Neighborhood-enhanced transfer learning for one-class collaborative filtering., , , , , , , and . Neurocomputing, (2019)