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Similarity Search Techniques in Exploratory Search: A Review

Information retrieval; Content-based search; Document similarity; Exploratory search; Internet application; Multimedia database; Relevant documents; Similarity search; Unstructured data; Search engines

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Bibliographic Details
Main Authors: Mahdi M., Ahmad A.R., Ismail R.
Other Authors: 56727803900
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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id my.uniten.dspace-24772
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spelling my.uniten.dspace-247722023-05-29T15:26:52Z Similarity Search Techniques in Exploratory Search: A Review Mahdi M. Ahmad A.R. Ismail R. 56727803900 35589598800 15839357700 Information retrieval; Content-based search; Document similarity; Exploratory search; Internet application; Multimedia database; Relevant documents; Similarity search; Unstructured data; Search engines The past decade has seen a dramatic increase in the amount of data captured and made available to users for research. This increase amplifies the difficulties users' face in finding the data most relevant to their information needs. The document similarity search is one of the most important topics in the field of information science, especially due to the popularity of the internet applications that deal with unstructured data sources such as World Wide Web. Efficiency of similarity search has become one of the most important issues. A typical example of similarity search is in multimedia databases that manage objects without structure, i.e. images, fingerprints or audio clips. Here similarity search is involved in retrieving the most similar fingerprint to a given one. Another example is in text retrieval which is present in many systems, from simple text editors (finding words similar to a given one to correct edition errors) to big search engines (retrieving relevant documents for a given query). This study explores the use of similarity search for text data in the form of a brief review using the interface provided as a service after content-based searches has been performed. The findings will give us ideas as to how to incorporate similarity searches within others search engine architecture. � 2018 IEEE. Final 2023-05-29T07:26:52Z 2023-05-29T07:26:52Z 2019 Conference Paper 10.1109/TENCON.2018.8650257 2-s2.0-85063197622 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063197622&doi=10.1109%2fTENCON.2018.8650257&partnerID=40&md5=491183e634118f11d0739152278dbbf6 https://irepository.uniten.edu.my/handle/123456789/24772 2018-October 8650257 2193 2198 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 Information retrieval; Content-based search; Document similarity; Exploratory search; Internet application; Multimedia database; Relevant documents; Similarity search; Unstructured data; Search engines
author2 56727803900
author_facet 56727803900
Mahdi M.
Ahmad A.R.
Ismail R.
format Conference Paper
author Mahdi M.
Ahmad A.R.
Ismail R.
spellingShingle Mahdi M.
Ahmad A.R.
Ismail R.
Similarity Search Techniques in Exploratory Search: A Review
author_sort Mahdi M.
title Similarity Search Techniques in Exploratory Search: A Review
title_short Similarity Search Techniques in Exploratory Search: A Review
title_full Similarity Search Techniques in Exploratory Search: A Review
title_fullStr Similarity Search Techniques in Exploratory Search: A Review
title_full_unstemmed Similarity Search Techniques in Exploratory Search: A Review
title_sort similarity search techniques in exploratory search: a review
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806423459506421760
score 13.222552

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