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Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.

, , , , , , , and . CoRR, (2023)

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Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems., , , and . CIKM, page 843-853. ACM, (2023)Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation., , , , , , , and . CoRR, (2023)PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation., , and . MORS@RecSys, volume 3268 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage., , , , , , , , , and 2 other author(s). EMNLP (Findings), page 4037-4050. Association for Computational Linguistics, (2021)Modeling and Leveraging Prerequisite Context in Recommendation., , , and . CoRR, (2022)A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems., , , , and . CoRR, (2023)KHANQ: A Dataset for Generating Deep Questions in Education., , and . COLING, page 5925-5938. International Committee on Computational Linguistics, (2022)Discrete Semantic Tokenization for Deep CTR Prediction., , , , , and . CoRR, (2024)Do We Really Need Graph Neural Networks for Traffic Forecasting?, , , , , , and . CoRR, (2023)A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommendation Systems., , , , and . KaRS@RecSys, volume 3560 of CEUR Workshop Proceedings, page 7-20. CEUR-WS.org, (2023)