Abstract: A web search engine is referred to a software system which is used to retrieve information on the World Wide Web. Widely popular search engines for example Google’s page rank algorithm aid to gain desire information by making the information obtainable easily through internet. In this research work, a novel approach using weighted technique is introduced to mine the web contents as per the user needs. Web content mining is an area which filters the amount of irrelevant and redundant results by optimizing the searching process. Also along with this technique we will take users feedback to make the results more accurate and relevant as per users need. Results extraction, pre-processing, user’s feedback, total relevancy and sorting of results comes under the working of the proposed system. So in this way the drawbacks of the existing systems are overcome by removing the redundant and unwanted data. Thus the proposed system providing with benefits of nicety and relevancy along with the level of excellence in results.
Keywords: Content mining, Feedback, Relevant, Term frequency, Weighted technique.
Title: Novel Search Engine Optimization Technique
Author: Khan Saba Shireen, Farida Attar, Bamne Naba, Shaikh Shabnoor
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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