Causal Recommendation: Progresses and Future Directions-Reference-Cited by-同舟云学术

Causal Recommendation: Progresses and Future Directions

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
Short-container-title:

Author:

Wang Wenjie¹^ORCID,Zhang Yang²^ORCID,Li Haoxuan³^ORCID,Wu Peng³^ORCID,Feng Fuli²^ORCID,He Xiangnan²^ORCID

Affiliation:

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

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

3. University of Science and Technology of China, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3594245

Reference59 articles.

1. Doubly Robust Estimation in Missing Data and Causal Inference Models

2. Gang Chen Jiawei Chen Fuli Feng Sheng Zhou and Xiangnan He. 2023. Unbiased Knowledge Distillation for Recommendation. In WSDM. 976--984. Gang Chen Jiawei Chen Fuli Feng Sheng Zhou and Xiangnan He. 2023. Unbiased Knowledge Distillation for Recommendation. In WSDM. 976--984.

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

4. Jiawei Chen Xiang Wang Fuli Feng and Xiangnan He. 2021b. Bias Issues and Solutions in Recommender System. In RecSys. 825--827. Jiawei Chen Xiang Wang Fuli Feng and Xiangnan He. 2021b. Bias Issues and Solutions in Recommender System. In RecSys. 825--827.

5. Quanyu Dai Haoxuan Li Peng Wu Zhenhua Dong Xiao-Hua Zhou Rui Zhang Rui Zhang and Jie Sun. 2022. A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. In KDD. 252--262. Quanyu Dai Haoxuan Li Peng Wu Zhenhua Dong Xiao-Hua Zhou Rui Zhang Rui Zhang and Jie Sun. 2022. A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. In KDD. 252--262.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Multilevel Deep Semantic Feature Asymmetric Network for Cross-Modal Hashing Retrieval;IEEE Latin America Transactions;2024-08

3. Uncovering the Propensity Identification Problem in Debiased Recommendations;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. Counterfactual contextual bandit for recommendation under delayed feedback;Neural Computing and Applications;2024-05-09

5. Reveling Internal-External Causality for Short-Term Wind Power Prediction: A Temporal Causal Attention Network;IEEE Transactions on Industrial Informatics;2024