Abstract
Rapid growth of the mobile search location information is an important concern. Usually mobile users search the query in service providers. In this paper, apply click through for finding the users’ interest in search engine mainly from their own search database. User preferences are classified as content concept and location concept. Ontology concepts are used to store the user preferences in the client side and Content extraction, Re-ranking are used in the server side to get the closest point search results. In this, use client– server architecture to get the user relevant information. Server provides the result based on user search. Classify the query based on the user click through. Instead of producing global search result, it performs ranking to get closest point result based on the server database. Frequently accessed user queries are stored in the client side for fast access. If the result is not available, then the user queries can be posted to get the updated result when the server is updated.
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More From: International Journal of Research in Engineering and Technology
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