Addressing Trust Bias for Unbiased Learning-to-Rank

Author:

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

Affiliation:

1. Cornell, USA

2. Google, USA

Publisher

ACM Press

Reference35 articles.

1. Aman Agarwal, Soumya Basu, Tobias Schnabel, and Thorsten Joachims. 2017. Effective Evaluation using Logged Bandit Feedback from Multiple Loggers. In Proc. of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD). 687-696.

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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