Axiomatic thinking for information retrieval-and related tasks

Enrique Amigo, Hui Fang, Stefano Mizzaro, Chengxiang Zhai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The main task of an Information Retrieval (IR) system is to return relevant documents to users in response to a query. However, this task is inherently an empirical task since the definition of relevance of a document to a query is notwell defined, and in general, can only be judged by users who issued the query. Yet, defining relevance as rigorously as we can is essential to the development of both effective IR systems and sound evaluation metrics. As a result, modeling relevance has always been a central challenge in IR research for both retrieval model development and evaluation. Indeed, all information retrieval models developed so far (which are the basis of the algorithms used in all search engine applications) has explicitly or implicitly adopted one way or another to formalize the vague concept of relevance; similarly, all evaluation metrics of IR are meant to quantify the utility of the retrieved results from a user's perspective, and thus must also accurately reflect a user's view of relevance.

Original languageEnglish (US)
Title of host publicationSIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
PublisherAssociation for Computing Machinery, Inc
Pages1419-1420
Number of pages2
ISBN (Electronic)9781450350228
DOIs
StatePublished - Aug 7 2017
Event40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017 - Tokyo, Shinjuku, Japan
Duration: Aug 7 2017Aug 11 2017

Publication series

NameSIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval

Other

Other40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017
CountryJapan
CityTokyo, Shinjuku
Period8/7/178/11/17

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ASJC Scopus subject areas

  • Information Systems
  • Software
  • Computer Graphics and Computer-Aided Design

Cite this

Amigo, E., Fang, H., Mizzaro, S., & Zhai, C. (2017). Axiomatic thinking for information retrieval-and related tasks. In SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1419-1420). (SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval). Association for Computing Machinery, Inc. https://doi.org/10.1145/3077136.3084369