Unbiased Knowledge Distillation for Recommendation-Reference-Cited by-同舟云学术

Unbiased Knowledge Distillation for Recommendation

Published:2023-02-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
language:
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Author:

Chen Gang¹^ORCID,Chen Jiawei²^ORCID,Feng Fuli¹^ORCID,Zhou Sheng²^ORCID,He Xiangnan¹^ORCID

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. Zhejiang University, Hangzhou, China

Funder

The National Natural Science Foundation of China

The CCCD Key Lab of Ministry of Culture and Tourism

The Starry Night Science Fund of Zhejiang University Shanghai Institute for Advanced Study

The National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570477

Reference42 articles.

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4. Jiawei Chen , Hande Dong , Xiang Wang , Fuli Feng , Meng Wang , and Xiangnan He. 2020. Bias and Debias in Recommender System: A Survey and Future Directions. CoRR , Vol. abs/ 2010 .03240 ( 2020 ). showeprint[arXiv]2010.03240 https://arxiv.org/abs/2010.03240 Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, and Xiangnan He. 2020. Bias and Debias in Recommender System: A Survey and Future Directions. CoRR, Vol. abs/2010.03240 (2020). showeprint[arXiv]2010.03240 https://arxiv.org/abs/2010.03240

5. Yu Cheng , Duo Wang , Pan Zhou , and Tao Zhang . 2017. A Survey of Model Compression and Acceleration for Deep Neural Networks. CoRR , Vol. abs/ 1710 .09282 ( 2017 ). showeprint[arXiv]1710.09282 http://arxiv.org/abs/1710.09282 Yu Cheng, Duo Wang, Pan Zhou, and Tao Zhang. 2017. A Survey of Model Compression and Acceleration for Deep Neural Networks. CoRR, Vol. abs/1710.09282 (2017). showeprint[arXiv]1710.09282 http://arxiv.org/abs/1710.09282

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