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Deep Session Interest Network for Click-Through Rate Prediction.

, , , , , , and . IJCAI, page 2301-2307. ijcai.org, (2019)

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SDM: Sequential Deep Matching Model for Online Large-scale Recommender System., , , , , , and . CIKM, page 2635-2643. ACM, (2019)Modeling User Behavior with Graph Convolution for Personalized Product Search., , , , , , , , , and . WWW, page 203-212. ACM, (2022)Modeling User Behavior with Graph Convolution for Personalized Product Search., , , , , , , , , and . CoRR, (2022)Intelligent Request Strategy Design in Recommender System., , , , , , , , and . KDD, page 3772-3782. ACM, (2022)Re-weighting Negative Samples for Model-Agnostic Matching., , , , , and . SIGIR, page 1823-1827. ACM, (2022)Delving into E-Commerce Product Retrieval with Vision-Language Pre-training., , , , and . SIGIR, page 3385-3389. ACM, (2023)Embedding-based Product Retrieval in Taobao Search., , , , , , , and . CoRR, (2021)Cold-Start based Multi-Scenario Ranking Model for Click-Through Rate Prediction., , , , , , , , and . CoRR, (2023)XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System., , , , , , and . DASFAA (3), volume 13247 of Lecture Notes in Computer Science, page 364-376. Springer, (2022)Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction., , , , , , and . SIGIR, page 2377-2386. ACM, (2020)