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A New Approach to Improve the Performance of Page Content Ranking in Web Content Mining

R. Gunasundari, S. Karthikeyan


The Internet is a huge collection of data that is highly unstructured which makes it enormously difficult to search and retrieve valuable information. The present day’s web searching capabilities, networking and computational efficiency has allowed the user with huge bandwidth and very fast downloading speeds, but the time wasted in browsing through the uninteresting documents is enormous. The unstructured characteristic of the information sources on the Web makes automated discovery of Web information difficult. The goal of the paper is to design a new method in the Web Content Mining category and to describe its prototype implementation and the first experiments. The proposed method concerns the problem and how to determine a relevance ranking of web pages with respect to a given query. 


Content Mining Data Mining, Search Engines, Soft Computing, Web Mining

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