Categorization of web pages – Performance enhancement to search engine

Abstract

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. We estimated two different page weights (a) Page Retaining Weight (PRW) and (b) 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. (A) Simple type (B) Axis shifted (c) Fluctuated and (d) Oscillating types. Implication in development of such categorization alleviates the performance of search engines and also delves into study of web modeling studies.