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Cross-Domain Sequential Recommendation (CDSR) aims to mine and transfer users' sequential preferences across different domains to alleviate the long-standing cold-start issue.
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Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
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Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). In Proceedings of the 16th ACM Conference on Recommender Systems (Seattle, WA, USA) (RecSys ’22) . Association for Computing Machinery, New York, NY, USA, 299–315
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Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023 , Hsin-Hsi Chen, Wei-Jou (Edward) Duh, Hen-Hsen Huang, Makoto P. Kato, Josiane Mothe, and Barbara Poblete (Eds.). ACM, 2639–2649
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END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
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Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation
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