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Analysis of the syntactical structure of web queries

Research output: Chapter in Book/Report/Conference proceedingConference contribution

The analysis of web queries is an important task in the enhancement of the identification of users’ search intent. This task has been addressed by various studies; many of these studies automatically classified queries based on query characteristics, users’ behaviour and words. In this paper, we present an analysis of web queries based on their syntactical structure. We identify different patterns and use machine learning algorithms to classify them according to Broder’s categories of user intent, i.e. informational, navigational and transactional. Experimental results show that our approach has a good classification performance, especially for informational and navigational queries.
Original languageEnglish
Title of host publication2018 International Conference on Machine Learning and Cybernetics (ICMLC)
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-5386-5214-5, 978-1-5386-5213-8
ISBN (Print)978-1-5386-5215-2
DOIs
Publication statusPublished - 12 Nov 2018
Event2018 International Conference on Machine Learning and Cybernetics - http://www.icmlc.com/icmlc/welcome.html, Chengdu, China
Duration: 15 Jul 201818 Jul 2018

Conference

Conference2018 International Conference on Machine Learning and Cybernetics
Abbreviated titleICMLC 2018
CountryChina
CityChengdu
Period15/07/1818/07/18

Documents

  • Paper 07

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    Accepted author manuscript (Post-print), 128 KB, PDF-document

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