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A Ranking Algorithm for News Data Streams

by Bhavana Mahour, Akhilesh Tiwari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 94 - Number 6
Year of Publication: 2014
Authors: Bhavana Mahour, Akhilesh Tiwari
10.5120/16351-5683

Bhavana Mahour, Akhilesh Tiwari . A Ranking Algorithm for News Data Streams. International Journal of Computer Applications. 94, 6 ( May 2014), 46-50. DOI=10.5120/16351-5683

@article{ 10.5120/16351-5683,
author = { Bhavana Mahour, Akhilesh Tiwari },
title = { A Ranking Algorithm for News Data Streams },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 94 },
number = { 6 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 46-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume94/number6/16351-5683/ },
doi = { 10.5120/16351-5683 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:16:56.483118+05:30
%A Bhavana Mahour
%A Akhilesh Tiwari
%T A Ranking Algorithm for News Data Streams
%J International Journal of Computer Applications
%@ 0975-8887
%V 94
%N 6
%P 46-50
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the advent of internet, print media such as newspapers and magazines have been moving themselves to websites providing news on the go. Also some people prefer news on the net more as pictures along with video is available in it, also we can search a particular topic. In this paper we suggest a ranking algorithm that exploits the dependency between the rank of news article, topic and source by the help of a virtual graph model. We also add the imitating or copying of new articles to revise the ranking of a source or article. Our complexity is linear and for starters we have just added the national news channels in our algorithm. To validate our algorithm we use huge manual data collecting news from national news websites.

References
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Index Terms

Computer Science
Information Sciences

Keywords

News Ranking articles source topic Time aware algorithm

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