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