Recent and Robust Query Auto-Completion
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-02522
- Type
- E - Conference contribution
- DOI
-
10.1145/2566486.2568009
- Title of conference / published proceedings
- 23rd International Conference on World wide web
- First page
- 971
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- -
- Year of publication
- 2014
- URL
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http://eprints.gla.ac.uk/128540/
- 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
-
1
- Research group(s)
-
-
- Citation count
- 35
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- ORIGINALITY: A novel query auto-completion approach is proposed which led to more effective query auto-completions. RIGOUR: The approach was tested rigorously on three real-life query logs (Sogou, AOL and MSN) and have shown significant improvements. This paper was published in a top Information Retrieval conference (with 16% acceptance rate). SIGNIFICANCE: Query autocompletion influences the user engagement with the search engines and our highly-cited work, with robust and rigorous comparisons with state-of-the-art baselines, will have a direct influence on search engine user engagement.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
