Search Engine Optimization by Fuzzy Classification and Prediction

Background/Objectives: To optimize the search engine by fuzzy classification and prediction. Methods/Statistical Analysis: Accounting the characteristics such as page rank as usual, mouse movements of a user and the eye movements of a user while surfing a web page. The technique is proposed so that the search engine gets human like thinking and accordingly produces the search results. Findings: The proposed algorithm takes each and every parameter in user point of view and also the usual page ranking and applies fuzzy logic intelligence to predict the subsequent search results. Due to the right blend of the client qualities and web page attributes, the search engine will have the capacity to out-perform the current methods. Application/Improvements: Internet marketing and target sales.