Content Based Ranking for Search Engines.

In today's e-world search engines play a vital role in retrieving and organizing relevant data for various purposes. However, in the real ground relevance of results produced by search engines are still debatable because it returns enormous amount of irrelevant and redundant results. Web content mining and Information retrieval is an ample and powerful research area in which retrieval of relevant information from the web resources in a faster and better manner. Web content mining improves the searching process and provides relevant information by eliminating the redundant and irrelevant contents. In this research work, a novel approach using weighted technique is introduced to mine the web contents catering to the user needs. Experimental results prove that the performance of the proposed approach in terms of precision, recall and F-measure is high when compared to other search engine results. [ABSTRACT FROM AUTHOR]