An effective suggestion method for keyword search of databases
- Submitting institution
-
University of Greenwich
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 30840
- Type
- D - Journal article
- DOI
-
10.1007/s11280-016-0413-1
- Title of journal
- World Wide Web
- Article number
- -
- First page
- 729
- Volume
- 20
- Issue
- 4
- ISSN
- 1386-145X
- Open access status
- Deposit exception
- Month of publication
- September
- Year of publication
- 2016
- 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
-
4
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- User keyword queries are often under-specified or over-specified. Query suggestion is used to help users express their information need more precisely. This work addresses shortcomings (redundancy w.r.t. topics) in existing methods for providing suggestions for user keyword queries. The article develops a mathematical model of evaluating the quality of suggestions by considering factors such as diversity and relevance. It has attracted attention of an e-commerce platform (JD.com, Inc.) for improving user experience. World Wide Web journal is a leading journal in the field of Web information systems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
