Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation-Reference-Cited by-同舟云学术

Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Xv Guipeng¹,Liu Xinyi¹,Lin Chen¹,Li Hui¹,Li Chenliang²,Huang Zhenhua³

Affiliation:

1. Xiamen University, Xiamen, China

2. Wuhan University, Wuhan, China

3. South China Normal University, Guangzhou, China

Funder

Natural Science Foundation of China

Alibaba Innovative Research program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557629

Reference37 articles.

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2. Chong Chen Min Zhang Yiqun Liu and Shaoping Ma. 2018. Neural Attentional Rating Regression with Review-level Explanations. In WWW. 1583--1592. Chong Chen Min Zhang Yiqun Liu and Shaoping Ma. 2018. Neural Attentional Rating Regression with Review-level Explanations. In WWW. 1583--1592.

3. Jiawei Chen Hande Dong Yang Qiu and Xiangnan He. 2021. AutoDebias: Learning to Debias for Recommendation. In SIGIR. 21--30. Jiawei Chen Hande Dong Yang Qiu and Xiangnan He. 2021. AutoDebias: Learning to Debias for Recommendation. In SIGIR. 21--30.

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. arXiv Preprint ( 2020 ). 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. arXiv Preprint (2020). https://arxiv.org/abs/2010.03240

5. Adversarial Distillation for Efficient Recommendation with External Knowledge

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