How Many Results Per Page? A Study of SERP Size, Search Behavior and User Experience
- Submitting institution
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University of Glasgow
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-00205
- Type
- E - Conference contribution
- DOI
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10.1145/2766462.2767732
- Title of conference / published proceedings
- SIGIR 2015: 38th Annual ACM SIGIR Conference
- First page
- 183
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- August
- Year of publication
- 2015
- URL
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http://eprints.gla.ac.uk/106761/
- Supplementary information
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-
- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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1
- Research group(s)
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-
- Citation count
- 21
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- ORIGINALITY: First study to empirically compare competing stopping strategies through a controlled within-subjects design, showing that adaptive stopping rules are highly effective. RIGOUR: 6 Theoretical models are implemented then meticulously tested with 48 users in an experimental framework for simulating information retrieval agents on two test collections (code released on GitHub). SIGNIFICANCE: Understanding when searchers stop is fundamental to evaluation of search behaviour and performance. Resulted in 6 month internship with Microsoft Bing, subsequent publications with Microsoft and US Patent (US10102199B2), a CLEF’17 Keynote, SIGIR’16 tutorial, and publications with Salton Award winners and an EPSRC-funded PhD project.
- Author contribution statement
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- Non-English
- No
- English abstract
- -