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Leveraging Large Language Models for Goal-driven Interactive Recommendations.

, , , and . HAI, page 464-466. ACM, (2023)

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Putting things in context: Challenge on Context-Aware Movie Recommendation, , and . Proceedings of the Workshop on Context-Aware Movie Recommendation, page 2--6. New York, NY, USA, ACM, (2010)Leveraging ChatGPT for Automated Human-centered Explanations in Recommender Systems., , , and . IUI, page 597-608. ACM, (2024)AltRecSys: A Workshop on Alternative, Unexpected, and Critical Ideas in Recommendation., , and . RecSys, page 1216-1218. ACM, (2024)From Clicks to Carbon: The Environmental Toll of Recommender Systems., , , and . RecSys, page 580-590. ACM, (2024)A Hybrid Approach to Item Recommendation in Folksonomies, , and . Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval, page 25--29. New York, NY, USA, ACM, (2009)UMAP 2017 Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems: Organizers' Welcome & Organization., , , and . UMAP (Adjunct Publication), page 347-349. ACM, (2017)'Free lunch' enhancement for collaborative filtering with factorization machines., , , and . RecSys, page 281-284. ACM, (2014)Prediction Accuracy and Autonomy., , and . Perspectives@RecSys, volume 2955 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Personalizing tags: a folksonomy-like approach for recommending movies., , , and . HetRec@RecSys, page 53-56. ACM, (2011)Social Drones for Health and Well-being., , , , , , , and . NordiCHI (Adjunct), page 14:1-14:4. ACM, (2022)