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Computing Time Reduction Using Personalized Web Search Applications

The aim of the study was to reduce the search time and to display appropriate result by using personalized web application. Search engine is used for searching based on keyword entered but the indicated result are not sometimes appropriate and it take a long time. K-Means algorithm is used for classifying the data obtained from search engines by dividing into several clusters with the same radius. Genetic algorithm are used for optimizing the cluster result in the form of ranking URLs in sequence. The result indicated that searching through a web search application using the K-Means algorithm and genetis can improve the information quality and the faster process. The use of web search application can reduce the search time of 0.00044183 seconds. The use of web search application can improve the accuracy and the speed of searching process.