Comparative Analysis of Weighted Page Rank Algorithm

Title: Comparative Analysis of Weighted Page Rank Algorithm
Publisher: Guru Nanak Publications
ISSN: 2278-0947
Series: Volume 3 Issue 1
Authors: P. Sateesh Kumar and G. Anuradha


Abstract

Search engine is the important tool to discover any information in the World Wide Web. Searching relevant information to user’s query is becoming a challenging task. To make search navigation easier, the search engines rank their search results according to the user’s queries. In this paper, we compare two popular web page ranking algorithms namely: Weighted Page Rank Algorithm based on Visits of links (VOL) and Page Content Rank Algorithm based on Frequency of Keyword (FOK). The Weighted Page Rank Algorithm based on Visits of links (VOL) is being devised for search engines; this algorithm is used to find more relevant information according to user’s query. So, this concept is very useful to display most valuable pages on the top of the result list, which reduce the search space to a large scale and other algorithm Page Content Rank Algorithm (FOK) gives web pages those rankings are based on keyword frequency, keyword frequency is a total number of words appearing on web page. If given query keyword occurs only once in a web page of one thousand words, it has a lower keyword frequency than a keyword that occurs four times in a web page. The paper highlights their variations, respective strengths, weaknesses and carefully analyzes both these algorithms using experiments developed for both algorithms.

Keywords

Database, Page Content Rank (FOK), Ranking, Search engine, World Wide Web, Web mining, Web Content Mining, Web Usage Mining, Web Structure Mining, Weighted Page Rank.

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