Information Retrieval and Taxonomy: a comparative analysis of select search engines

The study that forms the subject matter of this article focused on the comparative analysis of some select search engines based on the information retrieval process and the taxonomy concepts. The major amount of literature was sourced from the related websites. The websites like searchenginewatch.co...

Full description

Saved in:
Bibliographic Details
Published inWorld Digital Libraries Vol. 17; no. 2; pp. 139 - 152
Main Authors Hadagali, G S, Hiremath, G R
Format Journal Article
LanguageEnglish
Published New Delhi The Energy and Resources Institute 01.12.2024
Subjects
Accuracy
Algorithms
Automation
Classification
Comparative analysis
Digital Age
Information retrieval
Knowledge organization
Library and information science
Natural language processing
Queries
Query languages
Search algorithms
Search engine optimization
Search engines
Semantics
Software
Taxonomy
Websites
Online AccessGet full text

Cover

More Information
Summary:The study that forms the subject matter of this article focused on the comparative analysis of some select search engines based on the information retrieval process and the taxonomy concepts. The major amount of literature was sourced from the related websites. The websites like searchenginewatch.com, searchengineshowdown.com, and searchenginez.com, etc. were a major help in the study, as they provided all the major search engines' reviews and necessary links. The study indicated that the Google is the most popular search engine and ranks first because of its advanced algorithms and search techniques, such as PageRank, query understanding and natural language processing; all the three search engines include featured snippets, image packs, video carousels, and advertising and the Google employs more IR models (11) followed by the Bing (7) and the Yahoo (6). The present study would help users to appreciate and select a search engine appropriate to their specific search needs. Such studies also facilitate the web search engine developers to suggest improvements in the web search engines. The study considered the top three search engines based on the eBizMBA Rankings such as the Google, the Bing and the Yahoo. The parameters used in the study are: IR models, techniques used, search features, taxonomical features, special features, and search techniques.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0974-567X
0975-7597
DOI:10.18329/09757597/2024/17210