To Model or to Intervene-Reference-Cited by-同舟云学术

To Model or to Intervene

Published:2019-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Jagerman Rolf¹,Oosterhuis Harrie¹,de Rijke Maarten¹

Affiliation:

1. University of Amsterdam, Amsterdam, Netherlands

Funder

Ahold Delhaize

Netherlands Organisation for Scientific Research

Innovation Center for Artificial Intelligence

Association of Universities in the Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3331184.3331269

Reference38 articles.

1. Qingyao Ai Keping Bi Cheng Luo Jiafeng Guo and W. Bruce Croft. 2018. Unbiased Learning to Rank with Unbiased Propensity Estimation. In SIGIR. ACM 385--394. 10.1145/3209978.3209986 Qingyao Ai Keping Bi Cheng Luo Jiafeng Guo and W. Bruce Croft. 2018. Unbiased Learning to Rank with Unbiased Propensity Estimation. In SIGIR. ACM 385--394. 10.1145/3209978.3209986

2. Qingyao Ai Jiaxin Mao Yiqun Liu and W. Bruce Croft. 2018. Unbiased Learning to Rank: Theory and Practice. In CIKM. ACM 2305--2306. 10.1145/3269206.3274274 Qingyao Ai Jiaxin Mao Yiqun Liu and W. Bruce Croft. 2018. Unbiased Learning to Rank: Theory and Practice. In CIKM. ACM 2305--2306. 10.1145/3269206.3274274

3. Michael Bendersky Xuanhui Wang Donald Metzler and Marc Najork. 2017. Learning from User Interactions in Personal Search via Attribute Parameterization. In WSDM. ACM 791--799. 10.1145/3018661.3018712 Michael Bendersky Xuanhui Wang Donald Metzler and Marc Najork. 2017. Learning from User Interactions in Personal Search via Attribute Parameterization. In WSDM. ACM 791--799. 10.1145/3018661.3018712

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