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Solution for Information Overload Using Faceted Search-A Review

Faceted search; Filtering technique; Heterogeneous information; Information overloading; Information overloads; Quantitative study; Theoretical framework; Web of Science; Information filtering

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Bibliographic Details
Main Authors: Mahdi M.N., Ahmad A.R., Ismail R., Natiq H., Mohammed M.A.
Other Authors: 56727803900
Format: Review
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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id my.uniten.dspace-25694
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spelling my.uniten.dspace-256942023-05-29T16:12:54Z Solution for Information Overload Using Faceted Search-A Review Mahdi M.N. Ahmad A.R. Ismail R. Natiq H. Mohammed M.A. 56727803900 35589598800 15839357700 57200216084 55601160600 Faceted search; Filtering technique; Heterogeneous information; Information overloading; Information overloads; Quantitative study; Theoretical framework; Web of Science; Information filtering In the modern society, Internet provides massive amounts of heterogeneous information, hence Information overload has become an ubiquitous issue. In this paper, we conduct a large scale quantitative study for articles dealing with (1) information overloading; (2) faceted search; and (3) filtering the data in three major databases, namely, Web of Science, ScienceDirect, and IEEE Explore. These three databases have presented 172 articles, which can be classified into four categories. The first category contains review and survey papers related to information overload. The second category includes papers that concentrate on developing theoretical frameworks to reduce information overloading. The third category contains papers dealing with improving structure or architectural of software for filtering the huge data. The fourth category includes papers that provide criteria to evaluate filtering techniques. Finally, our contribution provides further understanding of information overload, and gives an important basis for future research. Moreover, we illustrate that the dynamic faceted filters are more efficient to reduce the information overload. � 2013 IEEE. Final 2023-05-29T08:12:54Z 2023-05-29T08:12:54Z 2020 Review 10.1109/ACCESS.2020.3005536 2-s2.0-85088301002 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088301002&doi=10.1109%2fACCESS.2020.3005536&partnerID=40&md5=e1b299a2fd00538b299b9ca7852af3da https://irepository.uniten.edu.my/handle/123456789/25694 8 9127450 119554 119585 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. 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 Faceted search; Filtering technique; Heterogeneous information; Information overloading; Information overloads; Quantitative study; Theoretical framework; Web of Science; Information filtering
author2 56727803900
author_facet 56727803900
Mahdi M.N.
Ahmad A.R.
Ismail R.
Natiq H.
Mohammed M.A.
format Review
author Mahdi M.N.
Ahmad A.R.
Ismail R.
Natiq H.
Mohammed M.A.
spellingShingle Mahdi M.N.
Ahmad A.R.
Ismail R.
Natiq H.
Mohammed M.A.
Solution for Information Overload Using Faceted Search-A Review
author_sort Mahdi M.N.
title Solution for Information Overload Using Faceted Search-A Review
title_short Solution for Information Overload Using Faceted Search-A Review
title_full Solution for Information Overload Using Faceted Search-A Review
title_fullStr Solution for Information Overload Using Faceted Search-A Review
title_full_unstemmed Solution for Information Overload Using Faceted Search-A Review
title_sort solution for information overload using faceted search-a review
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427809829093376
score 13.222552

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