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Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models.

, , , , , , , and . CoRR, (2024)

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What You Pay for Is What You Get., , , and . DEXA (2), volume 8056 of Lecture Notes in Computer Science, page 395-409. Springer, (2013)The Price Is Right - Models and Algorithms for Pricing Data., , , , and . DEXA (2), volume 8056 of Lecture Notes in Computer Science, page 380-394. Springer, (2013)An Efficient Conditioning Method for Probabilistic Relational Databases., , , , and . WAIM, volume 8485 of Lecture Notes in Computer Science, page 225-236. Springer, (2014)Edit Distance between XML and Probabilistic XML Documents., , , and . DEXA (1), volume 6860 of Lecture Notes in Computer Science, page 448-456. Springer, (2011)How Can Recommender Systems Benefit from Large Language Models: A Survey., , , , , , , , , and 1 other author(s). CoRR, (2023)Towards Automated Negative Sampling in Implicit Recommendation., , , , , and . CoRR, (2023)Understanding the planning of LLM agents: A survey., , , , , , , , and . CoRR, (2024)Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction., , , , , , and . CoRR, (2021)MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction., , , , , , , , and . CoRR, (2021)Content Filtering Enriched GNN Framework for News Recommendation., , , , , and . CoRR, (2021)