KuaiRec

Author:

Gao Chongming1,Li Shijun1,Lei Wenqiang2,Chen Jiawei3,Li Biao4,Jiang Peng4,He Xiangnan1,Mao Jiaxin5,Chua Tat-Seng6

Affiliation:

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

2. Sichuan University, Chengdu, China

3. Zhejiang University, Hangzhou, China

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

5. Renmin University of China, Beijing, China

6. National University of Singapore, Singapore, Singapore

Funder

The National Natural Science Foundation of China

Publisher

ACM

Reference78 articles.

1. Himan Abdollahpouri and Masoud Mansoury . 2020 . Multi-sided exposure bias in recommendation . International Workshop on Industrial Recommendation Systems (IRS2020) in Conjunction with ACM KDD ' 2020 (2020). Himan Abdollahpouri and Masoud Mansoury. 2020. Multi-sided exposure bias in recommendation. International Workshop on Industrial Recommendation Systems (IRS2020) in Conjunction with ACM KDD '2020 (2020).

2. Strategyproof multi-item exchange under single-minded dichotomous preferences

3. Ricardo Baeza-Yates Berthier Ribeiro-Neto etal 1999. Modern Information Retrieval. Vol. 463. ACM press New York. Ricardo Baeza-Yates Berthier Ribeiro-Neto et al. 1999. Modern Information Retrieval. Vol. 463. ACM press New York.

4. Haokun Chen , Xinyi Dai , Han Cai , Weinan Zhang , Xuejian Wang , Ruiming Tang , Yuzhou Zhang , and Yong Yu . 2019 . Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. In AAAI '19 , Vol. 33 . 3312--3320. Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, and Yong Yu. 2019. Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. In AAAI '19, Vol. 33. 3312--3320.

5. 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).

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1. EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. Configurable Fairness for New Item Recommendation Considering Entry Time of Items;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

5. SIGformer: Sign-aware Graph Transformer for Recommendation;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

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