Search Engine Optimization with Efficient PageRanking
Algorithm
Name: Gayatri Vivekrao Kapse
Roll no: 7456
Branch: CSIT, Department of Computer Science, S.G.B. Amravati University, Amravati
Abstract:
PageRank is the algorithm used by
google search to rank websites in their
search engine result. PageRank was
named after Larry Page. PageRank is a
way of measuring the importance of
website pages. This paper deals with
analysis and comparison of web
pageranking algorithms based on
various parameter to find out their
advantages and disadvantages for the
ranking of the web pages. It includes use
of PageRanking for SEO. How SEO
techniques increase website visibility.
Developing efficient model for
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PageRank is a way of
measuring the importance of website
pages. Based on search engine named
Google PageRank counts the number and
quality of links to a page to get the idea of
calculating the importance of the website.
It is hypothesis that most important
websites are gets links from another
websites. This paper deals with analysis
and comparison of web PageRanking
algorithms based on various parameters to
find out their advantages and limitations
for the ranking of the web pages. Studying
and analysing the different web
PageRanking algorithms, a comparison is
done to find out their relative strengths and
limitations to find out the further scope of
research in web PageRanking algorithm.
This Paper aim to answer what contributes
to search engine rankings? And what can
web content creators and webmasters do to
make their content and sites easier to find
by audiences using search engines?
Previous work done:
Author Hideaki Ishii et al [1] Assume
that the pages are divided into a number of
groups, based on the hosts or the domains
of the pages and interact among groups,
condition that all groups have only limited
ratios of outgoing links towards another
groups. Author Athanasios Papagelis el al
[2] had worked on the bottom-up
approach, this approach has been
characterised into a hybrid bottom-up
search engine that produces search results
based on user provided web-related data
and their sharing
- Applied both Power Iteration method and Monte Carlo approach to calculate page rank in Java.
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