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Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation., , , , and . CIKM, page 2442-2451. ACM, (2023)A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation., , , and . CIKM, page 2923-2932. ACM, (2022)Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning., , , and . KDD, page 1929-1937. ACM, (2022)Improving Conversational Recommendation Systems via Counterfactual Data Simulation., , , , , , and . KDD, page 2398-2408. ACM, (2023)Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation., , , , and . KDD, page 539-547. ACM, (2019)Tweet Timeline Generation via Graph-Based Dynamic Greedy Clustering., , , , and . AIRS, volume 9460 of Lecture Notes in Computer Science, page 304-316. Springer, (2015)An Integrated Data Processing Framework for Pretraining Foundation Models., , , , and . CoRR, (2024)RecAgent: A Novel Simulation Paradigm for Recommender Systems., , , , , , and . CoRR, (2023)The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models., , , , , , and . CoRR, (2024)The 2nd Workshop on Recommendation with Generative Models., , , , , , , , , and . CoRR, (2024)