Bayesian Inferential Risk Evaluation On Multiple IR Systems

Author:

Benham Rodger1,Carterette Ben2,Culpepper J. Shane1,Moffat Alistair3

Affiliation:

1. RMIT University, Melbourne, Australia

2. Spotify, New York, NY, USA

3. The University of Melbourne, Melbourne, Australia

Funder

Australian Research Council

Publisher

ACM

Reference38 articles.

1. Improvements that don't add up

2. A class of distributions which includes the normal ones;Azzalini A.;Scand. J. Stat.,1985

3. Random effects structure for confirmatory hypothesis testing: Keep it maximal

Cited by 3 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. Risk-Sensitive Deep Neural Learning to Rank;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06

2. ERR is not C/W/L: Exploring the Relationship Between Expected Reciprocal Rank and Other Metrics;Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval;2021-07-11

3. Bayesian System Inference on Shallow Pools;Lecture Notes in Computer Science;2021

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