Multileaved Comparisons for Fast Online Evaluation

Author:

Schuth Anne1,Sietsma Floor1,Whiteson Shimon1,Lefortier Damien2,de Rijke Maarten1

Affiliation:

1. University of Amsterdam, Amsterdam, Netherlands

2. Yandex LLC, Moscow, Russian Fed.

Funder

Royal Netherlands Academy of Arts and Sciences

Netherlands eScience Center

Yahoo! Faculty Research and Engagement Program

Microsoft Research

HPC Fund

European Social Fund

Center for Creation Content and Technology (CCCT)

Seventh Framework Programme

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

ACM

Cited by 46 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LT2R: Learning to Online Learning to Rank for Web Search;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. Interleaved Online Testing in Large-Scale Systems;Companion Proceedings of the ACM Web Conference 2023;2023-04-30

3. Stat-Weight: Improving the Estimator of Interleaved Methods Outcomes with Statistical Hypothesis Testing;Lecture Notes in Computer Science;2023

4. Theoretical Analysis on the Efficiency of Interleaved Comparisons;Lecture Notes in Computer Science;2023

5. Debiased Balanced Interleaving at Amazon Search;Proceedings of the 31st ACM International Conference on Information & Knowledge Management;2022-10-17

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