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A Survey on the Use of Personalized Model-Based Search Engine

Mostly with growth of the information sector, in particular the World wide web and the mobile Internet, the volume of information that we�ll have to contend with is rapidly increasing. To a certain degree, users could get the information they need from the Internet. And in context of these vast avai...

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Main Authors: Mahdi M.N., Ahmad A.R., Qassim Q.S., Subhi M.A., Bakare T.A.
Other Authors: 56727803900
Format: Conference Paper
Published: Springer Science and Business Media Deutschland GmbH 2023
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spelling my.uniten.dspace-273092023-05-29T17:42:30Z A Survey on the Use of Personalized Model-Based Search Engine Mahdi M.N. Ahmad A.R. Qassim Q.S. Subhi M.A. Bakare T.A. 56727803900 35589598800 36613541700 57205154762 57232790600 Mostly with growth of the information sector, in particular the World wide web and the mobile Internet, the volume of information that we�ll have to contend with is rapidly increasing. To a certain degree, users could get the information they need from the Internet. And in context of these vast availability and proliferation of information, users need an efficient way of finding only important and interesting information. How to optimize usability during information search process is still not addressed. Searching was the key feature of a conventional search engine. There has been insufficient customization in search engines to be used by searchers during the information extraction process. This article thus analysed and discussed the personalized recommendations of searches using a tailored framework that supports search engines. We describe a comprehensive review of the study on search engine customization for web-based queries. The study is partially systematic and, also at end of the study, we discuss the difficulties of personalizing search engines. � 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Final 2023-05-29T09:42:30Z 2023-05-29T09:42:30Z 2022 Conference Paper 10.1007/978-3-030-82616-1_9 2-s2.0-85113423831 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113423831&doi=10.1007%2f978-3-030-82616-1_9&partnerID=40&md5=d0848e68de982a74b2f799497b3ab191 https://irepository.uniten.edu.my/handle/123456789/27309 299 88 98 Springer Science and Business Media Deutschland GmbH Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Mostly with growth of the information sector, in particular the World wide web and the mobile Internet, the volume of information that we�ll have to contend with is rapidly increasing. To a certain degree, users could get the information they need from the Internet. And in context of these vast availability and proliferation of information, users need an efficient way of finding only important and interesting information. How to optimize usability during information search process is still not addressed. Searching was the key feature of a conventional search engine. There has been insufficient customization in search engines to be used by searchers during the information extraction process. This article thus analysed and discussed the personalized recommendations of searches using a tailored framework that supports search engines. We describe a comprehensive review of the study on search engine customization for web-based queries. The study is partially systematic and, also at end of the study, we discuss the difficulties of personalizing search engines. � 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
author2 56727803900
author_facet 56727803900
Mahdi M.N.
Ahmad A.R.
Qassim Q.S.
Subhi M.A.
Bakare T.A.
format Conference Paper
author Mahdi M.N.
Ahmad A.R.
Qassim Q.S.
Subhi M.A.
Bakare T.A.
spellingShingle Mahdi M.N.
Ahmad A.R.
Qassim Q.S.
Subhi M.A.
Bakare T.A.
A Survey on the Use of Personalized Model-Based Search Engine
author_sort Mahdi M.N.
title A Survey on the Use of Personalized Model-Based Search Engine
title_short A Survey on the Use of Personalized Model-Based Search Engine
title_full A Survey on the Use of Personalized Model-Based Search Engine
title_fullStr A Survey on the Use of Personalized Model-Based Search Engine
title_full_unstemmed A Survey on the Use of Personalized Model-Based Search Engine
title_sort survey on the use of personalized model-based search engine
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2023
_version_ 1806424077766754304
score 13.222552

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