Integrating understandability in the evaluation of consumer health search engines
Zuccon, Guido & Koopman, Bevan (2014) Integrating understandability in the evaluation of consumer health search engines. In Medical Information Retrieval (MedIR) Workshop, 11 July 2014, Gold Coast, Australia.
In this paper we propose a method that integrates the no- tion of understandability, as a factor of document relevance, into the evaluation of information retrieval systems for con- sumer health search. We consider the gain-discount evaluation framework (RBP, nDCG, ERR) and propose two understandability-based variants (uRBP) of rank biased precision, characterised by an estimation of understandability based on document readability and by different models of how readability influences user understanding of document content. The proposed uRBP measures are empirically contrasted to RBP by comparing system rankings obtained with each measure. The findings suggest that considering understandability along with topicality in the evaluation of in- formation retrieval systems lead to different claims about systems effectiveness than considering topicality alone.
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|Item Type:||Conference Paper|
|Keywords:||IR evaluation, understandability, health search, health information retrieval|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Health Informatics (080702)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
|Divisions:||Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2014 The authors|
|Deposited On:||17 Jun 2014 23:15|
|Last Modified:||28 Jul 2014 03:01|
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