Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction
Author:
Affiliation:
1. University of Science and Technology of China, Hefei, China
2. National University of Singapore, Singapore, Singapore
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589335.3651576
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3. Sihao Ding Fuli Feng Xiangnan He Jinqiu Jin Wenjie Wang Yong Liao and Yongdong Zhang. 2022. Interpolative Distillation for Unifying Biased and Debiased Recommendation. In SIGIR. ACM 40--49.
4. Chongming Gao Shijun Li Yuan Zhang Jiawei Chen Biao Li Wenqiang Lei Peng Jiang and Xiangnan He. 2022. KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. In CIKM. ACM 3953--3957.
5. Sahin Cem Geyik Stuart Ambler and Krishnaram Kenthapadi. 2019. Fairness- Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search. In KDD. ACM 2221--2231.
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