Fusion-based Methods for result diversification in web search
- Submitting institution
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University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 76447814
- Type
- D - Journal article
- DOI
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10.1016/j.inffus.2018.01.006
- Title of journal
- Information Fusion
- Article number
- -
- First page
- 16
- Volume
- 45
- Issue
- 1
- ISSN
- 1566-2535
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- 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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3
- Research group(s)
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B - Artificial Intelligence Research Centre
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <24> This research involved collaborating work with researchers from Jiangsu University in China, Ulster University in the UK, and University of Lugano in Switzerland. The work was supported by Natural Science Foundation of Jiangsu Province of China, “Search results diversity in distributed big data environment for federated search”, Grant No. BK20171303, 07/2017-06/2020.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -