Page Ranking Algorithms for Web Mining | Zendy

Rekha Jain | Zendy; G. N. Purohit | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Page Ranking Algorithms for Web Mining

Author(s) -

Rekha Jain,

G. N. Purohit

Publication year - 2011

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/1775-2448

Subject(s) - computer science , ranking (information retrieval) , web mining , data mining , information retrieval , web page , world wide web

web is growing rapidly, the users get easily lost in the web's rich hyper structure. The primary goal of the web site owner is to provide the relevant information to the users to fulfill their needs. Web mining technique is used to categorize users and pages by analyzing users behavior, the content of pages and order of URLs accessed. Web Structure Mining plays an important role in this approach. In this paper we discuss and compare the commonly used algorithms i.e. PageRank, Weighted PageRank and HITS.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research