Addressing Trust Bias for Unbiased Learning-to-Rank-Reference-Cited by-同舟云学术

Addressing Trust Bias for Unbiased Learning-to-Rank

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
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Author:

Agarwal Aman¹,Wang Xuanhui²,Li Cheng²,Bendersky Michael²,Najork Marc²

Affiliation:

1. Cornell, USA

2. Google, USA

Publisher

ACM Press

Reference35 articles.

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2. Aman Agarwal, Ivan Zaitsev, and Thorsten Joachims. 2018. Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank. (2018). arxiv:cs.LG/1806.03555

3. Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, and W. Bruce Croft. 2018. Unbiased Learning to Rank with Unbiased Propensity Estimation. In Proc. of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval(SIGIR). 385-394.

4. Le´on Bottou, Jonas Peters, Joaquin Qui nonero Candela, Denis X. Charles, D. Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Simard, and Ed Snelson. 2013. Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising. Journal of Machine Learning Research14 (2013), 3207-3260.

5. Chris J.C. Burges. 2010. From RankNet to LambdaRank to LambdaMART: An Overview. Technical Report MSR-TR-2010-82. Microsoft Research.

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