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Addressing Confounding Feature Issue for Causal Recommendation.

, , , , , , and . ACM Trans. Inf. Syst., 41 (3): 53:1-53:23 (2023)

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Alleviating Video-length Effect for Micro-video Recommendation., , , , , , and . ACM Trans. Inf. Syst., 42 (2): 44:1-44:24 (March 2024)Addressing Confounding Feature Issue for Causal Recommendation., , , , , , and . ACM Trans. Inf. Syst., 41 (3): 53:1-53:23 (2023)PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation., , , , , , , , , and 1 other author(s). CIKM, page 3302-3311. ACM, (2022)Dual Interests-Aligned Graph Auto-Encoders for Cross-domain Recommendation in WeChat., , , , , and . CIKM, page 4988-4994. ACM, (2023)Item-Provider Co-learning for Sequential Recommendation., , , , , and . SIGIR, page 1817-1822. ACM, (2022)SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems., , , , , , and . CoRR, (2020)Alleviating Video-Length Effect for Micro-video Recommendation., , , , , , and . CoRR, (2023)Graph Domain Adaptation: A Generative View., , , , , and . CoRR, (2021)Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data., , , and . KDD, page 130-138. ACM, (2018)Graph Domain Adaptation: A Generative View., , , , , and . ACM Trans. Knowl. Discov. Data, 18 (3): 60:1-60:24 (April 2024)