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Privileged Features Distillation for E-Commerce Recommendations.

, , , , , , , и . CoRR, (2019)

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