State of Art Approaches for Giving Related Items in Search Query

Ramzan, Saima, Jabeen, Fouzia and Anjum, Nasreen ORCID: 0000-0002-7126-2177 (2022) State of Art Approaches for Giving Related Items in Search Query. 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) . IEEE. ISBN 9781665442329

Text (Peer Reviewed Version) 11689 Ramzan, Jabeen and Anjum (2021) State_of_Art_Approaches_for_Giving_Related_Items_in_Search_Query.pdf - Accepted Version Restricted to Repository staff only Available under License All Rights Reserved. Download (224kB) | Request a copy

Abstract

Search queries are used to dig out needed information and are one of the most important factors in assessment of search engines results. Search queries are consisting of words, phrases and keywords etc. Related items in the form of different appropriate words that can be used in search query to enhance its precision. Enhancement is done in many ways like suggesting correct spelling of misspelled words, autocomplete etc. To be more precise search queries are précised commonly by query replacement and query enhancement using query substitution and expansion approaches. In this paper we have categorized query precising approaches according to type of query. Query types are classified as transactional, navigational and informational. The paper analyses the pros/con of approaches along with challenges that needs to be addressed which will result in accurate query which eventually helps to get precise search results.

Item Type:	Book
Article Type:	Article
Additional Information:	This article can be accessed in full online by current UoG students as it is covered by the University's digital subscription.
Uncontrolled Keywords:	Search Query; Query Types; Query Expansion; Query Substitution; Query Approaches
Related URLs:	https://ieeexplore.ieee.org/document/969...
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Nasreen Anjum
Date Deposited:	27 Oct 2022 13:41
Last Modified:	31 Oct 2023 13:06
URI:	https://eprints.glos.ac.uk/id/eprint/11689

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