Measuring the utility of search engine result pages : an information foraging based measure
- Submitting institution
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University of Strathclyde
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 85277070
- Type
- E - Conference contribution
- DOI
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10.1145/3209978.3210027
- Title of conference / published proceedings
- 41st International ACM SIGIR Conference on Research and Development in Information Retrieval
- First page
- 605
- Volume
- -
- Issue
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- ISSN
- -
- Open access status
- -
- Month of publication
- July
- Year of publication
- 2018
- URL
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- 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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2
- Research group(s)
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- Citation count
- 18
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work led to a consultancy project with Microsoft Research / Bing (2018) where the metrics are used in production, the metrics have been released on GitHub and being used by researchers at University Of Melbourne, Tsinghua University, University of Queensland & Ryerson University, and led to a collaboration with U. Melbourne (Prof. Moffat). The theory is being applied in a UK KTP on modelling and evaluating professional search behaviour and performance (Partnership No. 11464). It has led to invited talks at Microsoft Bing (2020)., University of Massachusetts (2020), Microsoft Research (2019), University of Madrid (2019) & City University (2018).
- Author contribution statement
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- Non-English
- No
- English abstract
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