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Research Article Open Access
In today’s world internet technology growing rapidly and people used internet on their mobile phones, desktops or laptops etc. for various purposes using various search engines which are not personalized. Personalized search engines catches user location and gives information associated to that location. For routinely optimizing the retrieval superiority of search engines by using clickthrough data method. Location is one of the important factors in mobile search and the information related to location categorize as content and location concepts. The user preferences are prepared by ontology based, wide-ranging user profiles, which are used to adapt a personalized ranking function for rank adaptation for search results. The personalized mobile search engine server is trustworthy for management of the weighty jobs .Server preparing for search results and reranking the search results according to the users content and location preferences sooner than they come back to client side. The personalized mobile search engine regulars keep records of the specific user’s profile and maintain user’s privacy. The GPS systems used for identification of the user’s location and also important to collect location related information. The preferences are controlled with the help on ontology and further useful in personalized ranking function for search results. This paper will provide the person who reads with the groundwork for research in personalized mobile search engine using the clickthrough data, user preferences as well as ontology etc.