ANALYSIS OF THE SYNTACTICAL STRUCTURE OF WEB QUERIES

被引：0

作者：

Mohasseb, Alaa ^{[1
]}

Bader-El-Den, Mohamed ^{[1
]}

Cocea, Mihaela ^{[1
]}

机构：

[1] Univ Portsmouth, Sch Comp, Portsmouth, Hants, England

来源：

PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 2 | 2018年

关键词：

Query Analysis; Query Classification; Information Retrieval; user intent; Natural language processing; USER INTENT;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：557 / 562

页数：6

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