Optimizing Performance of User Web Browsing Search

Web crawling and word sensing are critical nowadays. In case of web browsing, searching consume time in case proposer requirements from user is not extracted. In earlier work on web browsers word correction was missing which is a main inclusion in the proposed work. The problem with existing literature is time complexity in fetching the correct keyword from user query string. We propose character shuffle pre-processing searching mechanism. Using the proposed method, time complexity is reduced since clustering is used for searching the keywords. The searching don’t required entire database to be searched over rather only particular cluster is searched. To fetch meaningful keywords database is maintained. The keywords within the database increases as more and more user interact with this search engine. The worth of this study is proved using parameters execution time and number of meaningful keywords.

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