Automated identification of web queries using search type patterns

Alaa Mohasseb; Maged El-Sayed; Khaled Mahar

doi:10.5220/0004849402950304

Automated identification of web queries using search type patterns

Alaa Mohasseb^*, Maged El-Sayed, Khaled Mahar

^*Corresponding author for this work

School of Computing

Arab Academy for Science, Technology and Maritime Transport

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

Abstract

The process of searching and obtaining information relevant to the information needed have become increasingly challenging. A broad range of web queries classification techniques have been proposed to help in understanding the actual intent behind a web search. In this research, we are introducing a new solution to automatically identify and classify the user's queries intent by using Search Type Patterns. Our solution takes into consideration query structure along with query terms. Experiments show that our approach has a high level of accuracy in identifying different search types.

Original language	English
Title of host publication	Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
Publisher	SciTePress
Pages	295-304
Number of pages	10
ISBN (Print)	9789897580246
DOIs	https://doi.org/10.5220/0004849402950304
Publication status	Published - 3 Apr 2014
Event	10th International Conference on Web Information Systems and Technologies - Barcelo Sants Hotel, Barcelona, Spain Duration: 3 Apr 2014 → 5 Apr 2014 Conference number: 10 http://www.webist.org/?y=2014

Conference

Conference	10th International Conference on Web Information Systems and Technologies
Abbreviated title	WEBIST 2014
Country/Territory	Spain
City	Barcelona
Period	3/04/14 → 5/04/14
Internet address	http://www.webist.org/?y=2014

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10.5220/0004849402950304

Cite this

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title = "Automated identification of web queries using search type patterns",

abstract = "The process of searching and obtaining information relevant to the information needed have become increasingly challenging. A broad range of web queries classification techniques have been proposed to help in understanding the actual intent behind a web search. In this research, we are introducing a new solution to automatically identify and classify the user's queries intent by using Search Type Patterns. Our solution takes into consideration query structure along with query terms. Experiments show that our approach has a high level of accuracy in identifying different search types.",

author = "Alaa Mohasseb and Maged El-Sayed and Khaled Mahar",

year = "2014",

month = apr,

day = "3",

doi = "10.5220/0004849402950304",

language = "English",

isbn = "9789897580246",

pages = "295--304",

booktitle = "Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST",

publisher = "SciTePress",

note = "10th International Conference on Web Information Systems and Technologies, WEBIST 2014 ; Conference date: 03-04-2014 Through 05-04-2014",

url = "http://www.webist.org/?y=2014",

}

Mohasseb, A, El-Sayed, M & Mahar, K 2014, Automated identification of web queries using search type patterns. in Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST. SciTePress, pp. 295-304, 10th International Conference on Web Information Systems and Technologies, Barcelona, Spain, 3/04/14. https://doi.org/10.5220/0004849402950304

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AU - Mohasseb, Alaa

AU - El-Sayed, Maged

AU - Mahar, Khaled

N1 - Conference code: 10

PY - 2014/4/3

Y1 - 2014/4/3

N2 - The process of searching and obtaining information relevant to the information needed have become increasingly challenging. A broad range of web queries classification techniques have been proposed to help in understanding the actual intent behind a web search. In this research, we are introducing a new solution to automatically identify and classify the user's queries intent by using Search Type Patterns. Our solution takes into consideration query structure along with query terms. Experiments show that our approach has a high level of accuracy in identifying different search types.

AB - The process of searching and obtaining information relevant to the information needed have become increasingly challenging. A broad range of web queries classification techniques have been proposed to help in understanding the actual intent behind a web search. In this research, we are introducing a new solution to automatically identify and classify the user's queries intent by using Search Type Patterns. Our solution takes into consideration query structure along with query terms. Experiments show that our approach has a high level of accuracy in identifying different search types.

U2 - 10.5220/0004849402950304

DO - 10.5220/0004849402950304

M3 - Conference contribution

SN - 9789897580246

SP - 295

EP - 304

BT - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST

PB - SciTePress

T2 - 10th International Conference on Web Information Systems and Technologies

Y2 - 3 April 2014 through 5 April 2014

ER -

Automated identification of web queries using search type patterns

Abstract

Conference

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Cite this