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Categorization of web pages - Performance enhancement to search engine

DRS at CSIR-National Institute of Oceanography

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Field Value
 
Title Categorization of web pages - Performance enhancement to search engine
 
Creator Lakshminarayana, S.
 
Subject web pages
Information Retrieval
Link analysis
information services
 
Description With the advent of technology man is endeavoring for relevant and optimal results from the web through search engines. Retrieval performance can often be improved using several algorithms and methods. Abundance in web has impelled to exert better search systems. Categorization of the web pages abet fairly in addressing this issue. The anatomy of the web pages, links, categorization of text and their relations are empathized with time. Search engines perform critical analysis using several inputs for a keyword( s) to obtain quality results in shortest possible time. Categorization is mostly done with separating the content using the web link structure. Two different page weights is estimated (1) Page Retaining Weight (PRW) and (2) Page Forwarding Weight (PFW) for a web page and grouped for categorization. Using these experimental results we classified the web pages into four different groups i.e. (1) Simple type (2) Axis shifted (3) Fluctuated and (4) Oscillating types. Implication in development of such categorization alleviates the performance of search engines and also delves into study of web modeling studies.
 
Date 2009-03-30T04:53:32Z
2009-03-30T04:53:32Z
2009
 
Type Journal Article
 
Identifier Knowledge-Based Systems, vol.22(1); 109-104
http://drs.nio.org/drs/handle/2264/2594
 
Language en
 
Rights An edited version of this paper was published by Elsevier. Copyright [2009] Elsevier
 
Publisher Elsevier