Abstract
Nowadays, people make frequent use of search engines in order to find the information they need on the web. The abundance of available data has rendered the process of obtaining relevant information challenging in terms of processing and analyzing it. A broad range of web queries classification techniques have been proposed with the aim of helping in understanding the actual intent behind a web search. In this research, we have categorized search queries through introducing Search Type Syntactical Patterns for automatically identifying and classifying search engine user queries. Experiments show that our approach has a good level of accuracy in identifying different search types. © Springer International Publishing AG 2017.
Original language | English |
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Title of host publication | Speech and Computer |
Subtitle of host publication | 19th International Conference, SPECOM 2017, Hatfield, UK, September 12-16, 2017, Proceedings |
Editors | Alexey Karpov, Rodmonga Potapova, Iosif Mporas |
Publisher | Springer |
Pages | 809-819 |
Volume | 10458 LNAI |
ISBN (Electronic) | 978-3-319-66429-3 |
ISBN (Print) | 978-3-319-66428-6 |
DOIs | |
Publication status | Published - Sept 2017 |
Event | 19th International Conference on Speech and Computer - University of Hertfordshire, Hatfield, United Kingdom Duration: 12 Sept 2017 → 16 Sept 2017 Conference number: 19th http://specom.nw.ru/history/sites/2017/ http://specom.nw.ru/history/sites/2017/index.html |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 10458 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 19th International Conference on Speech and Computer |
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Abbreviated title | SPECOM 2017 |
Country/Territory | United Kingdom |
City | Hatfield |
Period | 12/09/17 → 16/09/17 |
Internet address |