Citation

Mahdi, Mohammad Najah and Ahmad, Abdul Rahim and Qassim, Qais Saif and Subhi, Mohammed Ahmed and Bakare, Taofiq Adeola (2022) A Survey on the Use of Personalized Model-Based Search Engine. Lecture Notes in Networks and Systems, 299. pp. 88-98. ISSN 2367-3370

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Search engine, Information retrieval, model-based search engine
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	28 Jan 2022 02:48
Last Modified:	28 Jan 2022 02:48
URII:	http://shdl.mmu.edu.my/id/eprint/9949

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