KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos-Reference-Cited by-同舟云学术

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos

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

Gao Chongming¹,Li Shijun¹,Zhang Yuan²,Chen Jiawei³,Li Biao²,Lei Wenqiang⁴,Jiang Peng²,He Xiangnan¹

Affiliation:

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

2. Kuaishou Technology Co., Ltd., Beijing, China

3. Zhejiang University, Hangzhou, China

4. Sichuan University, Chengdu, China

Funder

The National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557624

Reference34 articles.

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3. 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 arXiv:2010.03240 ( 2020 ). 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 arXiv:2010.03240 (2020).

4. Chongming Gao , Wenqiang Lei , Jiawei Chen , Shiqi Wang , Xiangnan He , Shijun Li , Biao Li , Yuan Zhang , and Peng Jiang . 2022 a. CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. arXiv preprint arXiv:2204.01266 (2022). Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, Biao Li, Yuan Zhang, and Peng Jiang. 2022a. CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. arXiv preprint arXiv:2204.01266 (2022).

5. Advances and challenges in conversational recommender systems: A survey

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