Causally Debiased Time-aware Recommendation

Author:

Wang Lei1ORCID,Ma Chen1ORCID,Wu Xian2ORCID,Qiu Zhaopeng2ORCID,Zheng Yefeng2ORCID,Chen Xu1ORCID

Affiliation:

1. GSAI, Renmin University of China, Beijing, China

2. Jarvis Research Center, Tencent Youtu Lab, Shenzhen, China

Publisher

ACM

Reference62 articles.

1. Linas Baltrunas and Xavier Amatriain. 2009. Towards time-dependant recommendation based on implicit feedback. In Workshop on context-aware recommender systems (CARS'09). 25--30.

2. Ioana Bica, Ahmed Alaa, and Mihaela Van Der Schaar. 2020. Time series deconfounder: Estimating treatment effects over time in the presence of hidden confounders. In International Conference on Machine Learning. PMLR, 884--895.

3. Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols

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 arXiv:2010.03240 (2020).

5. Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao, and Ji-Rong Wen. 2022. Data Augmented Sequential Recommendation based on Counterfactual Thinking. IEEE Transactions on Knowledge and Data Engineering (2022).

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