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Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search., , , , , , , и . CoRR, (2021)Cost Minimization for Heterogeneous Systems with Gaussian Distribution Execution Time., , и . HPCC/CSS/ICESS, стр. 547-552. IEEE, (2015)On the Number of Turns in Reduced Random Lattice Paths., и . J. Appl. Probab., 50 (2): 499-515 (2013)BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search., , , , , , , , и . ICDM, стр. 212-221. IEEE, (2020)Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint., , , , , , и . ICDE, стр. 2453-2463. IEEE, (2021)From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search., , , , , , , , , и . CoRR, (2021)Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning., , , , , , , и . SIGIR, стр. 2407-2416. ACM, (2020)Sequential Search with Off-Policy Reinforcement Learning., , , , , , , , и . CoRR, (2022)Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint., , , , , , и . CoRR, (2020)Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce., , , , , , , , , и . ICDE, стр. 3222-3234. IEEE, (2023)