A major problem in mobile search is that the interactions between theusers and search engines are limited by the small form factors of the mobile devices. Mobile users tend to submit shorter, hence, more ambiguous queries compared to their web search counterparts. In order to return highly relevant results to the users, mobile search engines must be able to profile the users’ interests and personalize the search results according to the users’ profiles. A practical approach to capturing a user’s interests for personalization is to analyze the user’s clickthrough data . Developed a search engine personalization method based on users’ concept preferences and showed that it is more effective than methods that are based on page preferences . The previous work assumed that all concepts are of the same type. Observing the need for different types of concepts, we present in this paper a personalized mobile search engine, PMSE, which represents different types of concepts in different ontologies. In particular, recognizing the importance of location information in mobile search, we separate concepts into location concepts and content concepts.