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ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction.

J. Lin, B. Chen, H. Wang, Y. Xi, Y. Qu, X. Dai, K. Zhang, R. Tang, Y. Yu, and W. Zhang. WWW, page 3319-3330. ACM, (2024)

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Xinyi Zhang

Xinyi Dong

Huangdong Dai

Jing Dai

Yangguang Dai

Other publications of authors with the same name

How Can Recommender Systems Benefit from Large Language Models: A Survey.J. Lin, X. Dai, Y. Xi, W. Liu, B. Chen, X. Li, C. Zhu, H. Guo, Y. Yu, R. Tang and 1 other author(s). CoRR, (2023)Towards Return Parity in Markov Decision Processes.J. Chi, J. Shen, X. Dai, W. Zhang, Y. Tian, and H. Zhao. CoRR, (2021)A co-word analysis of museum tourism experience via hierarchy of needs: Case study of the China Block Printing Museum at Yangzhou.X. Dai, L. Xu, and J. Liu. J. Comput. Methods Sci. Eng., 22 (6): 1835-1849 (2022)MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction.J. Lin, Y. Qu, W. Guo, X. Dai, R. Tang, Y. Yu, and W. Zhang. KDD, page 1384-1395. ACM, (2023)Personalized Diversification for Neural Re-ranking in Recommendation.W. Liu, Y. Xi, J. Qin, X. Dai, R. Tang, S. Li, W. Zhang, and R. Zhang. ICDE, page 802-815. IEEE, (2023)Context-aware Reranking with Utility Maximization for Recommendation.Y. Xi, W. Liu, X. Dai, R. Tang, W. Zhang, Q. Liu, X. He, and Y. Yu. CoRR, (2021)Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising.W. Ou, B. Chen, W. Liu, X. Dai, W. Zhang, W. Xia, X. Li, R. Tang, and Y. Yu. CIKM, page 4766-4772. ACM, (2023)A Bird's-eye View of Reranking: From List Level to Page Level.Y. Xi, J. Lin, W. Liu, X. Dai, W. Zhang, R. Zhang, R. Tang, and Y. Yu. WSDM, page 1075-1083. ACM, (2023)U-rank: Utility-oriented Learning to Rank with Implicit Feedback.X. Dai, J. Hou, Q. Liu, Y. Xi, R. Tang, W. Zhang, X. He, J. Wang, and Y. Yu. CIKM, page 2373-2380. ACM, (2020)Design of Delayed Ternary PUF Circuit Based on CNFET.Z. He, K. Ren, J. Chen, X. Dai, Z. Pan, and Y. Zhang. APCC, page 503-507. IEEE, (2018)

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Disambiguation of "Dai, Xinyi"

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ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction.

Please choose a person to relate this publication to

Xinyi Zhang

Xinyi Dong

Huangdong Dai

Jing Dai

Yangguang Dai

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Dai, Xinyi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction.

Please choose a person to relate this publication to

Xinyi Zhang

Xinyi Dong

Huangdong Dai

Jing Dai

Yangguang Dai

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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ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction.