Relevance Judgment Convergence Degree – A Measure of Inconsistency among Assessors for Information Retrieval-Reference-Cited by-同舟云学术

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Relevance Judgment Convergence Degree – A Measure of Inconsistency among Assessors for Information Retrieval

Published:2022-09-19 Issue: Volume: Page:
ISSN:2938-5202
Container-title:International Conference on Information Systems Development
language:
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Author:

Zhu Dengya¹,Nimmagadda Shastri¹,Wong Kok²,Reiners Torsten¹

Affiliation:

1. Curtin University

2. Murdoch University

Publisher

Risoprint

Reference34 articles.

1. References

2. 1. Alonso, O. Mizzaro, S.: Using crowdsourcing for TREC relevance assessment. Information Processing & Management. 48: p. 1053-1066. (2012)

3. 2. Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Harlow: Addison Wesley. 544. (1999)

4. 3. Bailey, P., et al.: Relevance Assessment: Are Judges Exchangeable and Does it Matter? in Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval. Singapore: ACM. (2008)

5. 4. Borlund, P.: The Concept of Relevance in IR. Journal of the American Society for Information Science and Technology. 54(10): p. 913-925. (2003)

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