Analysis of the syntactical structure of web queries

Alaa Mohasseb; Mohamed Bader-El-Den; Mihaela Cocea

doi:10.1109/ICMLC.2018.8526957

Analysis of the syntactical structure of web queries

Alaa Mohasseb, Mohamed Bader-El-Den, Mihaela Cocea

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

236 Downloads (Pure)

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.

Original language	English
Title of host publication	2018 International Conference on Machine Learning and Cybernetics (ICMLC)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	978-1-5386-5214-5, 978-1-5386-5213-8
ISBN (Print)	978-1-5386-5215-2
DOIs	https://doi.org/10.1109/ICMLC.2018.8526957
Publication status	Published - 12 Nov 2018
Event	2018 International Conference on Machine Learning and Cybernetics - http://www.icmlc.com/icmlc/welcome.html, Chengdu, China Duration: 15 Jul 2018 → 18 Jul 2018

Publication series

Name	IEEE ICMLC Proceedings Series
Publisher	IEEE
ISSN (Print)	2160-133X
ISSN (Electronic)	2160-1348

Conference

Conference	2018 International Conference on Machine Learning and Cybernetics
Abbreviated title	ICMLC 2018
Country/Territory	China
City	Chengdu
Period	15/07/18 → 18/07/18

Keywords

Query Analysis
Query Classification
Information Retrieval
User intent
Natural language processing

Access to Document

10.1109/ICMLC.2018.8526957

Paper 07
© © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript (Post-print), 128 KB

Cite this

@inproceedings{0c713b5454f74f229573f51a8c845577,

title = "Analysis of the syntactical structure of web queries",

abstract = "The analysis of web queries is an important task in the enhancement of the identification of users{\textquoteright} search intent. This task has been addressed by various studies; many of these studies automatically classified queries based on query characteristics, users{\textquoteright} 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{\textquoteright}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.",

keywords = "Query Analysis, Query Classification, Information Retrieval, User intent, Natural language processing",

author = "Alaa Mohasseb and Mohamed Bader-El-Den and Mihaela Cocea",

year = "2018",

month = nov,

day = "12",

doi = "10.1109/ICMLC.2018.8526957",

language = "English",

isbn = "978-1-5386-5215-2",

series = "IEEE ICMLC Proceedings Series",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 International Conference on Machine Learning and Cybernetics (ICMLC)",

address = "United States",

note = "2018 International Conference on Machine Learning and Cybernetics, ICMLC 2018 ; Conference date: 15-07-2018 Through 18-07-2018",

}

Mohasseb, A , Bader-El-Den, M & Cocea, M 2018, Analysis of the syntactical structure of web queries. in 2018 International Conference on Machine Learning and Cybernetics (ICMLC)., 18232925, IEEE ICMLC Proceedings Series, Institute of Electrical and Electronics Engineers Inc., 2018 International Conference on Machine Learning and Cybernetics, Chengdu, China, 15/07/18. https://doi.org/10.1109/ICMLC.2018.8526957

Analysis of the syntactical structure of web queries. / Mohasseb, Alaa ; Bader-El-Den, Mohamed ; Cocea, Mihaela.
2018 International Conference on Machine Learning and Cybernetics (ICMLC). Institute of Electrical and Electronics Engineers Inc., 2018. 18232925 (IEEE ICMLC Proceedings Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Analysis of the syntactical structure of web queries

AU - Mohasseb, Alaa

AU - Bader-El-Den, Mohamed

AU - Cocea, Mihaela

PY - 2018/11/12

Y1 - 2018/11/12

N2 - 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.

AB - 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.

KW - Query Analysis

KW - Query Classification

KW - Information Retrieval

KW - User intent

KW - Natural language processing

UR - http://www.icmlc.com/

UR - https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000424

U2 - 10.1109/ICMLC.2018.8526957

DO - 10.1109/ICMLC.2018.8526957

M3 - Conference contribution

SN - 978-1-5386-5215-2

T3 - IEEE ICMLC Proceedings Series

BT - 2018 International Conference on Machine Learning and Cybernetics (ICMLC)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 International Conference on Machine Learning and Cybernetics

Y2 - 15 July 2018 through 18 July 2018

ER -

Analysis of the syntactical structure of web queries

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this