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Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders.

, , , and . WWW, page 1162-1171. ACM, (2023)

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The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models., , , , , , , , , and . CIKM, page 5267-5270. ACM, (2023)Large Language Models as Zero-Shot Conversational Recommenders., , , , , , , , and . CIKM, page 720-730. ACM, (2023)Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation., , , , and . AAAI, page 9133-9141. AAAI Press, (2024)Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction., , , and . RecSys, page 44-54. ACM, (2021)Personalized Showcases: Generating Multi-Modal Explanations for Recommendations., , , , and . SIGIR, page 2251-2255. ACM, (2023)Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement., , , , , , and . CoRR, (2019)Weakly Supervised Attention for Hashtag Recommendation using Graph Data., , , , and . WWW, page 1038-1048. ACM / IW3C2, (2020)Locker: Locally Constrained Self-Attentive Sequential Recommendation., , , , , and . CIKM, page 3088-3092. ACM, (2021)Generative Flow Network for Listwise Recommendation., , , , , , , and . KDD, page 1524-1534. ACM, (2023)Personalized Showcases: Generating Multi-Modal Explanations for Recommendations., , , , and . CoRR, (2022)