Explicit diversification of search results across multiple dimensions for educational search
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-12028
- Type
- D - Journal article
- DOI
-
10.1002/asi.24403
- Title of journal
- Journal of the Association for Information Science and Technology
- Article number
- -
- First page
- 315
- Volume
- 72
- Issue
- 3
- ISSN
- 2330-1635
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2020
- URL
-
http://eprints.gla.ac.uk/221203/
- 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
-
4
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- ORIGINALITY: First model to tackle the growing challenge of providing appropriate material for search by children (in educational settings), addressing topical ambiguity, reading level, and type of material. RIGOUR: Uses a probabilistic generative model for ranking documents while addressing different aspects. Experiments are conducted on ~1000 query sessions obtained from a real educational search engine, using annotation and click-based evaluation. SIGNIFICANCE: Published in the top information science journal. This article has possible impact both in enhancing learning gains for children when they are accessing information through domain-specific educational search engines, as well as through general purpose web search engines.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -