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Inverse Learning with Extremely Sparse Feedback for Recommendation.

G. Lin, C. Gao, Y. Zheng, Y. Li, J. Chang, Y. Niu, Y. Song, K. Gai, Z. Li, D. Jin, and Y. Li. CoRR, (2023)

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Wenlin Gai

Helmar Gai

Gai Sun

Kun Tao

Kun Fang

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AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement.Z. Xue, Q. Cai, T. Zuo, B. Yang, L. Hu, P. Jiang, K. Gai, and B. An. CoRR, (2023)Calibrating User Response Predictions in Online Advertising.C. Deng, H. Wang, Q. Tan, J. Xu, and K. Gai. ECML/PKDD (4), volume 12460 of Lecture Notes in Computer Science, page 208-223. Springer, (2020)Joint Optimization of Tree-based Index and Deep Model for Recommender Systems.H. Zhu, D. Chang, Z. Xu, P. Zhang, X. Li, J. He, H. Li, J. Xu, and K. Gai. NeurIPS, page 3973-3982. (2019)Inverse Learning with Extremely Sparse Feedback for Recommendation.G. Lin, C. Gao, Y. Zheng, Y. Li, J. Chang, Y. Niu, Y. Song, K. Gai, Z. Li, D. Jin and 1 other author(s). WSDM, page 396-404. ACM, (2024)Mixed Attention Network for Cross-domain Sequential Recommendation.G. Lin, C. Gao, Y. Zheng, J. Chang, Y. Niu, Y. Song, K. Gai, Z. Li, D. Jin, Y. Li and 1 other author(s). WSDM, page 405-413. ACM, (2024)Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction.K. Ren, J. Qin, Y. Fang, W. Zhang, L. Zheng, W. Bian, G. Zhou, J. Xu, Y. Yu, X. Zhu and 1 other author(s). SIGIR, page 565-574. ACM, (2019)Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.X. Hao, J. Jin, J. Hao, J. Li, W. Wang, Y. Ma, Z. Zheng, H. Li, J. Xu, and K. Gai. IJCAI, page 3437-3443. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Blind separation of superimposed images with unknown motions.K. Gai, Z. Shi, and C. Zhang. CVPR, page 1881-1888. IEEE Computer Society, (2009)PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement.W. Xue, Q. Cai, Z. Xue, S. Sun, S. Liu, D. Zheng, P. Jiang, K. Gai, and B. An. KDD, page 2874-2884. ACM, (2023)Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction.Q. Pi, W. Bian, G. Zhou, X. Zhu, and K. Gai. KDD, page 2671-2679. ACM, (2019)

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Disambiguation of "Gai, Kun"

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Inverse Learning with Extremely Sparse Feedback for Recommendation.

Please choose a person to relate this publication to

Wenlin Gai

Helmar Gai

Gai Sun

Kun Tao

Kun Fang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gai, Kun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Inverse Learning with Extremely Sparse Feedback for Recommendation.

Please choose a person to relate this publication to

Wenlin Gai

Helmar Gai

Gai Sun

Kun Tao

Kun Fang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Inverse Learning with Extremely Sparse Feedback for Recommendation.