SIGIR 2015 Workshop on Reproducibility, Inexplicability, and Generalizability of Results (RIGOR)

Author:

Arguello Jaime1,Diaz Fernando2,Lin Jimmy3,Trotman Andrew4

Affiliation:

1. University of North Carolina, Chapel Hill, USA

2. Microsoft Research, New York, USA

3. University of Maryland, College Park, USA

4. eBay Inc., San Jose, USA

Publisher

ACM

Cited by 8 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. Toward Evaluating the Reproducibility of Information Retrieval Systems with Simulated Users;Proceedings of the 2nd ACM Conference on Reproducibility and Replicability;2024-06-18

2. The Information Retrieval Experiment Platform;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

3. Bayesian Inferential Risk Evaluation On Multiple IR Systems;Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval;2020-07-25

4. Measuring the impact of online personalisation: Past, present and future;International Journal of Human-Computer Studies;2019-11

5. An Experimental Study of Index Compression and DAAT Query Processing Methods;Lecture Notes in Computer Science;2019

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