LOCATION AND CONTENT SPECIFIC COMPACT QUERY MOBILE SEARCH ENGINE

T he primary issue in mobile search is that the interactions among the users and search engines are constrained by the little screen of the cell phones. To give more pertinent results to the users, search engines must able to engender user’s profile, including interest and personalizing the search results according to the user profiles. The proposed personalized mobile search engine is an innovative approach to personalize search query and correspond ing search results The Proposed framework takes the assistance of Google's GPS to identify user current location and location - content mining concept to personalize the search query as per query type. And also makes use of the user profile & user interest t o alter the user query close to user personal approach to find anything on the world. Proposed system uses Google, yahoo and Bing search engine’s API’s to probe out the personalized query which returns search results. The returned search results are again rearranged in different categories as per earlier click through history of the user. It helps user to get virtually close results from three different search engines. we present our approach to personalizing web search on a mobile device The proposed sys tem perverse the user privacy, which are designated as two privacy parameter true or false value. The Proposed system provided the city travel/tour guide system which was additionally personalized. The proposed system will gather the information from locat ion predicated query that will be identified by location - content mining concept.