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Architecture for Checking Trustworthiness of Websites

by Sana Ansari, Jayant Gadge
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 14
Year of Publication: 2012
Authors: Sana Ansari, Jayant Gadge
10.5120/6332-8706

Sana Ansari, Jayant Gadge . Architecture for Checking Trustworthiness of Websites. International Journal of Computer Applications. 44, 14 ( April 2012), 22-26. DOI=10.5120/6332-8706

@article{ 10.5120/6332-8706,
author = { Sana Ansari, Jayant Gadge },
title = { Architecture for Checking Trustworthiness of Websites },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 14 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number14/6332-8706/ },
doi = { 10.5120/6332-8706 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:33.929364+05:30
%A Sana Ansari
%A Jayant Gadge
%T Architecture for Checking Trustworthiness of Websites
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 14
%P 22-26
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today information retrieval from Internet is becoming a commonplace phenomenon. Since, information is readily available and accessible to everyone. Whenever any user types a query in search engine, they would get answers within few micro seconds. However, the results which they get may or may not be accurate because different websites may give different information about the same entity. So, the biggest question is, which website should the user trust? There are many characteristics using that users can determine trustworthiness in content provided by Web information sources. In the proposed system, the filtering of website trustworthiness is based on five major areas as Authority, Related resources, Popularity, Age and Recommendation. The proposed system defines eighteen factors which are categorized under the mentioned five major areas. The website trustworthiness is calculated based on these eighteen factors of each URL and it is stored thereby increasing the performance in retrieving the trustworthy websites. The objective of the proposed system is to provide more trustworthy websites as top results which would save considerable amount of searching time

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