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Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks., , , , , , and . KDD, page 596-605. ACM, (2018)Self-Propagation Graph Neural Network for Recommendation., , , , , and . IEEE Trans. Knowl. Data Eng., 34 (12): 5993-6002 (2022)CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation., , , , , , and . ICDM, page 1355-1360. IEEE, (2023)Exact-K Recommendation via Maximal Clique Optimization., , , , , , , and . KDD, page 617-626. ACM, (2019)Automatic Generation of Chinese Short Product Titles for Mobile Display., , , , , and . AAAI, page 9460-9465. AAAI Press, (2019)Personalized Adaptive Meta Learning for Cold-start User Preference Prediction., , , , , , and . CoRR, (2020)MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction., , , , , , , and . CIKM, page 2421-2428. ACM, (2020)ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation., , , , , and . SIGIR, page 2231-2240. ACM, (2020)Understanding Echo Chambers in E-commerce Recommender Systems., , , , , , and . SIGIR, page 2261-2270. ACM, (2020)Learning User Representations with Hypercuboids for Recommender Systems., , , , , , , , and . WSDM, page 716-724. ACM, (2021)