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A Complete Survey on Web Document Ranking

Published on March 2014 by Shashank Gugnani, Tushar Bihany, Rajendra Kumar Roul
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International Conference on Advances in Computer Engineering and Applications
Foundation of Computer Science USA
ICACEA - Number 2
March 2014
Authors: Shashank Gugnani, Tushar Bihany, Rajendra Kumar Roul
81446c7b-2818-479d-ac60-22acb979bba6

Shashank Gugnani, Tushar Bihany, Rajendra Kumar Roul . A Complete Survey on Web Document Ranking. International Conference on Advances in Computer Engineering and Applications. ICACEA, 2 (March 2014), 1-7.

@article{
author = { Shashank Gugnani, Tushar Bihany, Rajendra Kumar Roul },
title = { A Complete Survey on Web Document Ranking },
journal = { International Conference on Advances in Computer Engineering and Applications },
issue_date = { March 2014 },
volume = { ICACEA },
number = { 2 },
month = { March },
year = { 2014 },
issn = 0975-8887,
pages = { 1-7 },
numpages = 7,
url = { /proceedings/icacea/number2/15615-1414/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Computer Engineering and Applications
%A Shashank Gugnani
%A Tushar Bihany
%A Rajendra Kumar Roul
%T A Complete Survey on Web Document Ranking
%J International Conference on Advances in Computer Engineering and Applications
%@ 0975-8887
%V ICACEA
%N 2
%P 1-7
%D 2014
%I International Journal of Computer Applications
Abstract

Today, web plays a critical role in human life and also simplifies the same to a great extent. However, due to the towering increase in the number of web pages, the challenge of providing quality and relevant information to the users also needs to be addressed. Thus, search engines need to implement such algorithms which spans the pages as per user's interest and satisfaction and rank them accordingly. The concept of web mining tremendously assists in the mentioned scenario. Web mining helps in retrieving potentially useful information and patterns from web. This paper includes different Page Ranking algorithms and compares those algorithms used for Information Retrieval. Additionally it also presents some interesting facts about research in page ranking to find further scope of research in this area.

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Index Terms

Computer Science
Information Sciences

Keywords

Web Structure Mining Web Content Mining Web Usage Mining Document Ranking