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ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.

, , , , , , and . ICLR, OpenReview.net, (2023)

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Calibrating User Response Predictions in Online Advertising., , , , and . ECML/PKDD (4), volume 12460 of Lecture Notes in Computer Science, page 208-223. Springer, (2020)Disentangled Causal Embedding With Contrastive Learning For Recommender System., , , , , , , and . WWW (Companion Volume), page 406-410. ACM, (2023)AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement., , , , , , , and . CoRR, (2023)Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction., , , , and . KDD, page 2671-2679. ACM, (2019)PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement., , , , , , , , and . KDD, page 2874-2884. ACM, (2023)Progressive Feature Polishing Network for Salient Object Detection., , , , , and . AAAI, page 12128-12135. AAAI Press, (2020)Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction., , , , , , , , , and 1 other author(s). SIGIR, page 565-574. ACM, (2019)Semantic Human Matting., , , , , and . ACM Multimedia, page 618-626. ACM, (2018)Blind separation of superimposed images with unknown motions., , and . CVPR, page 1881-1888. IEEE Computer Society, (2009)Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising., , , , , , , , , and . IJCAI, page 3437-3443. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..