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Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples.

X. Xu, H. Wu, W. Yu, L. Hu, P. Jiang, and K. Gai. WWW (Companion Volume), page 453-460. ACM, (2024)

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Zaijun Hu

Bing Hu

Hu Wang

Ruguo Hu

Shouyun Hu

Other publications of authors with the same name

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)RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm.Y. Zhang, W. Yu, E. Zhang, X. Chen, L. Hu, P. Jiang, and K. Gai. CoRR, (2024)IFA: Interaction Fidelity Attention for Entire Lifelong Behaviour Sequence Modeling.W. Yu, C. Feng, Y. Zhang, L. Hu, P. Jiang, and H. Li. CoRR, (2024)Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.Z. Liu, S. Liu, Z. Zhang, Q. Cai, X. Zhao, K. Zhao, L. Hu, P. Jiang, and K. Gai. SIGIR, page 1872-1882. ACM, (2024)Context-Aware Recommendation of Learning Resources Using Rules Engine.L. Hu, Z. Du, Q. Tong, and Y. Liu. ICALT, page 181-183. IEEE Computer Society, (2013)Modeling User Fatigue for Sequential Recommendation.N. Li, X. Ban, C. Ling, C. Gao, L. Hu, P. Jiang, K. Gai, Y. Li, and Q. Liao. SIGIR, page 996-1005. ACM, (2024)Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples.X. Xu, H. Wu, W. Yu, L. Hu, P. Jiang, and K. Gai. WWW (Companion Volume), page 453-460. ACM, (2024)Modeling User Retention through Generative Flow Networks.Z. Liu, S. Liu, B. Yang, Z. Xue, Q. Cai, X. Zhao, Z. Zhang, L. Hu, H. Li, and P. Jiang. CoRR, (2024)Content-Boosted Restricted Boltzmann Machine for Recommendation.Y. Liu, Q. Tong, Z. Du, and L. Hu. ICANN, volume 8681 of Lecture Notes in Computer Science, page 773-780. Springer, (2014)M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.Z. Zhang, S. Liu, J. Yu, Q. Cai, X. Zhao, C. Zhang, Z. Liu, Q. Liu, H. Zhao, L. Hu and 2 other author(s). SIGIR, page 893-902. ACM, (2024)

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Disambiguation of "Hu, Lantao"

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Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples.

Please choose a person to relate this publication to

Zaijun Hu

Bing Hu

Hu Wang

Ruguo Hu

Shouyun Hu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hu, Lantao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples.

Please choose a person to relate this publication to

Zaijun Hu

Bing Hu

Hu Wang

Ruguo Hu

Shouyun Hu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples.