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.
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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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