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- W2842119560 abstract "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." @default.
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- W2842119560 date "2018-07-01" @default.
- W2842119560 modified "2023-09-25" @default.
- W2842119560 title "Analysis of The Syntactical Structure Of Web Queries" @default.
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- W2842119560 doi "https://doi.org/10.1109/icmlc.2018.8526957" @default.
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