research-article

The Information Retrieval Experiment Platform

Authors:

Jan Heinrich Reimer,

Sean MacAvaney,

Niklas Deckers,

Janek Bevendorff,

Matthias Hagen, and

Martin PotthastAuthors Info & Claims

SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

July 2023

Pages 2826 - 2836

https://doi.org/10.1145/3539618.3591888

Published: 18 July 2023 Publication History

Abstract

We integrate irdatasets, ir_measures, and PyTerrier with TIRA in the Information Retrieval Experiment Platform (TIREx) to promote more standardized, reproducible, scalable, and even blinded retrieval experiments. Standardization is achieved when a retrieval approach implements PyTerrier's interfaces and the input and output of an experiment are compatible with ir_datasets and ir_measures. However, none of this is a must for reproducibility and scalability, as TIRA can run any dockerized software locally or remotely in a cloud-native execution environment. Version control and caching ensure efficient (re)execution. TIRA allows for blind evaluation when an experiment runs on a remote server or cloud not under the control of the experimenter. The test data and ground truth are then hidden from public access, and the retrieval software has to process them in a sandbox that prevents data leaks.

We currently host an instance of TIREx with 15 corpora (1.9~billion documents) on which 32 shared retrieval tasks are based. Using Docker images of 50~standard retrieval approaches, we automatically evaluated all approaches on all tasks (50 ⋅ 32 = 1,600 runs) in less than a week on a midsize cluster (1,620 cores and 24 GPUs). This instance of TIREx is open for submissions and will be integrated with the IR Anthology, as well as released open source.

Supplementary Material

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Presentation for the paper on The Information Retrieval Experiment Platform (TIREx).

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Fröbe MMackenzie JMitra BNardini FPotthast MHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information RetrievalProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657994(3051-3054)Online publication date: 10-Jul-2024
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Index Terms

The Information Retrieval Experiment Platform
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
    2. Retrieval models and ranking

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cover image ACM Conferences

SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

July 2023

3567 pages

ISBN:9781450394086

DOI:10.1145/3539618

General Chairs:
Hsin-Hsi Chen
National Taiwan University
,
Wei-Jou (Edward) Duh
National Taiwan University
,
Hen-Hsen Huang
Academia Sinica
,
Program Chairs:
Makoto P. Kato
Spotify
,
Josiane Mothe
Universite de Toulouse
,
Barbara Poblete
University of Chile and Amazon Visiting Academic

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SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

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Fröbe MMackenzie JMitra BNardini FPotthast MHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information RetrievalProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657994(3051-3054)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657994
Fröbe MScells HElstner TAkiki CGienapp LReimer JMacAvaney SStein BHagen MPotthast MHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Resources for Combining Teaching and Research in Information Retrieval CourseworkProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657886(1115-1125)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657886
Breuer TVoorhees ESoboroff IHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Browsing and Searching Metadata of TRECProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657873(313-323)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657873

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