Dockerising terrier for the open-source IR replicability challenge

Arthur Câmara, Craig MacDonald

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Reproducibility and replicability are key concepts in science, and it is therefore important for information retrieval (IR) platforms to aid in reproducing and replicating experiments. In this paper, we describe the creation of a Docker container for Terrier within the framework of the OSIRRC 2019 challenge, which allows typical runs to be reproduced on TREC Test Collections such as Robust04, GOV2, Core2018. In doing so, it is hoped that the produced Docker image can be of aid to other (re)producing baseline experiments on these test collections. Initiatives like OSIRRC are key in advancing these key concepts in the IR area. By making not only the source code available, but also the exact same environment and standardising inputs and outputs, it is possible to easily compare approaches and thereby improve the quality of the research for Information Retrieval.

Original languageEnglish
Title of host publicationOSIRRC 2019 The Open-Source IR Replicability Challenge
Subtitle of host publicationProceedings of the Open-Source IR Replicability Challenge (OSIRRC 2019) co-located with 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019)
EditorsRyan Clancy, Nicola Ferro, Claudia Hauff, Jimmy Lin, Tetsuya Sakai, Ze Zhong Wu
Number of pages5
Publication statusPublished - 2019
Event2019 Open-Source IR Replicability Challenge, OSIRRC 2019 - Paris, France
Duration: 25 Jul 201925 Jul 2019

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073


Conference2019 Open-Source IR Replicability Challenge, OSIRRC 2019


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