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Authors: Alaa Mohasseb 1 ; Maged El-Sayed 2 and Khaled Mahar 3

Affiliations: 1 Arab Academy for Scinece and Technology, Egypt ; 2 Alexandria University, Egypt ; 3 Arab Academy for Science and Technology & Maritime Transport, Egypt

ISBN: 978-989-758-024-6

Keyword(s): Information Retrieval, User Intent, Web Queries, Web Searching, Search Engines, Query Classification.

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.

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Paper citation in several formats:
Mohasseb, A.; El-Sayed, M. and 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, ISBN 978-989-758-024-6, pages 295-304. DOI: 10.5220/0004849402950304

@conference{webist14,
author={Alaa Mohasseb. and Maged El{-}Sayed. and Khaled Mahar.},
title={Automated Identification of Web Queries using Search Type Patterns},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2014},
pages={295-304},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004849402950304},
isbn={978-989-758-024-6},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Automated Identification of Web Queries using Search Type Patterns
SN - 978-989-758-024-6
AU - Mohasseb, A.
AU - El-Sayed, M.
AU - Mahar, K.
PY - 2014
SP - 295
EP - 304
DO - 10.5220/0004849402950304

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