Page Rank Computation [PRC] in INformation Assimilation & Retrieval (INAR) System

Authors(1) :-Dr. L. Senthilvadivu

The World Wide Web consists of millions of web pages and hyperlinks with which the most visited page and the number of hyperlinks in the page decide on the page rank. The page rank of a page is defined recursively and depends on the number and page rank metric of all pages that link to it. A page that is linked to by many pages with high page rank receives a high rank itself. In the INformation Assimilation and Retrieval (INAR) system, the page rank can be predictable based on the selection of the pages by the user who decide the page as the positive result of the search while inflowing the queries as search key from the heterogeneous and multi related information sources. The positive results of the users can be favored if and only if the page is the most relevant one for the queries posted by the user.

Authors and Affiliations

Dr. L. Senthilvadivu
Principal, Mahendra Arts & Science College, Kalipatti, Tamil Nadu, India

INAR, Assimilation, heterogeneous, queries

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 573-577
Manuscript Number : CSEIT1833129
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. L. Senthilvadivu, "Page Rank Computation [PRC] in INformation Assimilation & Retrieval (INAR) System ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.573-577, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833129

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