Context-Aware Personalized Web Search Using Navigation History

Chebil, W; Wedyan, MO; Lu, H; Elshaweesh, OG

Context-Aware Personalized Web Search Using Navigation History

Chebil, W Wedyan, MO Lu, H

Elshaweesh, OG

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Publisher:: IGI GLOBAL
Publication Type:: Journal Article
Citation:: INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2020, 16, (2), pp. 91-107
Issue Date:: 2020-04-01

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Field	Value	Language
dc.contributor.author	Chebil, W
dc.contributor.author	Wedyan, MO
dc.contributor.author	Lu, H https://orcid.org/0000-0001-5655-0237
dc.contributor.author	Elshaweesh, OG
dc.date.accessioned	2020-11-14T19:03:40Z
dc.date.available	2020-11-14T19:03:40Z
dc.date.issued	2020-04-01
dc.identifier.citation	INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2020, 16, (2), pp. 91-107
dc.identifier.issn	1552-6283
dc.identifier.issn	1552-6291
dc.identifier.uri	http://hdl.handle.net/10453/144002
dc.description.abstract	<jats:p>It is highly desirable that web search engines know users well and provide just what the user needs. Although great effort has been devoted to achieve this dream, the commonly used web search engines still provide a “one-fit-all” results. One of the barriers is lack of an accurate representation of user search context that supports personalised web search. This article presents a method to represent user search context and incorporate this representation to produce personalised web search results based on Google search results. The key contributions are twofold: a method to build contextual user profiles using their browsing behaviour and the semantic knowledge represented in a domain ontology; and an algorithm to re-rank the original search results using these contextual user profiles. The effectiveness of proposed new techniques were evaluated through comparisons of cases with and without these techniques respectively and a promising result of 35% precision improvement is achieved.</jats:p>
dc.language	English
dc.publisher	IGI GLOBAL
dc.relation.ispartof	INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS
dc.relation.isbasedon	10.4018/IJSWIS.2020040105
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0804 Data Format, 0806 Information Systems, 1702 Cognitive Sciences
dc.title	Context-Aware Personalized Web Search Using Navigation History
dc.type	Journal Article
utslib.citation.volume	16
utslib.for	0804 Data Format
utslib.for	0806 Information Systems
utslib.for	1702 Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-11-14T19:03:36Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	16
utslib.citation.issue	2

Abstract:

It is highly desirable that web search engines know users well and provide just what the user needs. Although great effort has been devoted to achieve this dream, the commonly used web search engines still provide a “one-fit-all” results. One of the barriers is lack of an accurate representation of user search context that supports personalised web search. This article presents a method to represent user search context and incorporate this representation to produce personalised web search results based on Google search results. The key contributions are twofold: a method to build contextual user profiles using their browsing behaviour and the semantic knowledge represented in a domain ontology; and an algorithm to re-rank the original search results using these contextual user profiles. The effectiveness of proposed new techniques were evaluated through comparisons of cases with and without these techniques respectively and a promising result of 35% precision improvement is achieved.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/144002