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Users' adjustments to unsuccessful queries in biomedical search

Published: 15 June 2009 Publication History

Abstract

Biomedical researchers depend on on-line databases and digital libraries for up to date information. We introduce a pilot project aimed at characterizing adjustments made to biomedical queries that improve search results. Specifically we focus on queries submitted to PubMed®, a large sophisticated search engine that facilitates Web access to abstracts of articles in over 5,200 biomedical journals. On average 2 million users search PubMed each day. During their search, nearly 20% will experience a result page from one of their queries that has zero results. In some cases there really is no document or abstract that will satisfy a particular query. However, in analyzing one month of queries submitted to PubMed, we find that more often than not, queries that retrieved no results are queries that would retrieve something relevant if they were constructed differently. This paper describes a new effort to identify some of the characteristics of a query that produces zero results, and the changes that users most often apply in constructing new, "corrected" queries. Zero-result queries afford us an opportunity to examine changes made to queries that we know did not return relevant data, because they did not return any data. An investigation of the changes users make under these circumstances can yield insight into users' search processes.

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  • (2014)A Study of Querying Behaviour of Expert and Non-expert Users of Biomedical Search SystemsProceedings of the 19th Australasian Document Computing Symposium10.1145/2682862.2682871(10-17)Online publication date: 26-Nov-2014

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cover image ACM Conferences
JCDL '09: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
June 2009
502 pages
ISBN:9781605583228
DOI:10.1145/1555400

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 June 2009

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Author Tags

  1. PubMed
  2. medical search
  3. query reformulation
  4. user modeling

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JCDL '09
JCDL '09: Joint Conference on Digital Libraries
June 15 - 19, 2009
TX, Austin, USA

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Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Cited By

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  • (2014)A Study of Querying Behaviour of Expert and Non-expert Users of Biomedical Search SystemsProceedings of the 19th Australasian Document Computing Symposium10.1145/2682862.2682871(10-17)Online publication date: 26-Nov-2014

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