Causal Intervention for Leveraging Popularity Bias in Recommendation.

Pararth Shah|Yang Zhang|Fuli Feng|Sunny Raj Rathod|Pararth Shah|Yang Zhang|Xiangnan He|Fuli Feng|Sunny Raj Rathod|Ganesh Ramakrishnan|Tianxin Wei|Ganesh Ramakrishnan|Tianxin Wei|Chonggang Song|Guohui Ling|Yongdong Zhang


Anthology ID:DBLP:conf/sigir/ZhangF0WSL021
Volume:SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
Year:2021
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:11-20
URL:https://doi.org/10.1145/3404835.3462875
DOI:https://doi.org/10.1145/3404835.3462875
DBLP:conf/sigir/ZhangF0WSL021
BibTeX:
@inproceedings{shah-2021-causal, author = {Pararth Shah and Yang Zhang and Fuli Feng and Sunny Raj Rathod and Pararth Shah and Yang Zhang and Xiangnan He and Fuli Feng and Sunny Raj Rathod and Ganesh Ramakrishnan and Tianxin Wei and Ganesh Ramakrishnan and Tianxin Wei and Chonggang Song and Guohui Ling and Yongdong Zhang}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{Causal Intervention for Leveraging Popularity Bias in Recommendation}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {11--20}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3462875}, doi = {https://doi.org/10.1145/3404835.3462875} }