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

Simple item page
dc.citedby1
dc.contributor.authorMahdi M.N.en_US
dc.contributor.authorAhmad A.R.en_US
dc.contributor.authorQassim Q.S.en_US
dc.contributor.authorSubhi M.A.en_US
dc.contributor.authorBakare T.A.en_US
dc.contributor.authorid56727803900en_US
dc.contributor.authorid35589598800en_US
dc.contributor.authorid36613541700en_US
dc.contributor.authorid57205154762en_US
dc.contributor.authorid57232790600en_US
dc.date.accessioned2023-05-29T09:42:30Z
dc.date.available2023-05-29T09:42:30Z
dc.date.issued2022
dc.description.abstractMostly 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-030-82616-1_9
dc.identifier.epage98
dc.identifier.scopus2-s2.0-85113423831
dc.identifier.spage88
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85113423831&doi=10.1007%2f978-3-030-82616-1_9&partnerID=40&md5=d0848e68de982a74b2f799497b3ab191
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27309
dc.identifier.volume299
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Networks and Systems
dc.titleA Survey on the Use of Personalized Model-Based Search Engineen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS