A Comparative Study of Web Page Ranking Algorithms
Author(s):
Priyanka Tuteja, Meena Chaudhary, Sarika Gambhir
Keywords:
WWW, Data mining, Web mining, Search engine.
Abstract
The World Wide Web WWW is a huge resource of hyperlinked and heterogeneous information which comprises of billions of web pages . To retrieve required information from World Wide Web, search engines perform various tasks based on its architecture and provide relevant and quality information to the internet users in response to its query. by using the web page contents and hyperlink between the web pages. Web mining is an active research area in present scenario. It is defined as the application of data mining techniques on the World Wide Web to find hidden information, This hidden information i.e. knowledge which contained in content of web pages or in link structure of World Wide Web or in web server logs. This paper deals with analysis and comparison of web page rankingalgorithms based on various parameter for the ranking of the web pages. Based on the analysis of various rankingalgorithms, a comparative search is done to search out out theirrelative strengths and limitations and furtherscope of analysis in web page ranking algorithmic rule.
Article Details
Unique Paper ID: 143342

Publication Volume & Issue: Volume 2, Issue 10

Page(s): 178 - 184
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies