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Analysis of The Syntactical Structure Of Web Queries

机译:网络查询的句法结构分析

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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.
机译:网络查询的分析是增强用户搜索意图识别的一项重要任务。各种研究已经解决了这一任务。这些研究中有许多是根据查询特征,用户行为和单词对查询进行自动分类的。在本文中,我们基于其语法结构对Web查询进行了分析。我们确定不同的模式,并使用机器学习算法根据Broder的用户意图类别(即信息,导航和交易)对它们进行分类。实验结果表明,我们的方法具有良好的分类性能,特别是对于信息和导航查询。

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