Accelerating Ranking System Using Webgraph

This is a Master of Science project report on "accelerating ranking system using webgraph" which is submitted to department of Computer Science. Search Engine is a tool to find the information on any topic in the Web. The basic components of a Search Engine are Web Crawler, Parser, Page-Rank System, Repository and a Front-End. In Web graph the Web pages are represented as nodes and the hyperlinks between the Web pages are represented as directed links from one node to other node..
The entire process of generating page-rank using algorithm namely Cluster Rank, Source Rank and Truncated PageRank was automated. The current implementation uses the URL table that contains more than 4 Million URLs. Thanks to author of the project and use this report only for your study and reference work.

Author:Padmaja Adipudi

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