Abstract: In tourism it recommended that user should get relevant and accurate information about the tourist places and the locations. About each place, abundant information is available, hence first priority is to filter out appropriate information and give it to the user. This paper describes and depicts the development of an application for allsmart phones, which user can use at the time of travelling. In this paper, we are discussing implementation of a tourist application which will provide appropriate recommendations about places to the user at the time of tour planning. Suggestions of places will be base probabilistic matching of parameters age, hobbies, and the tour type. A complete system will be implemented in giving precise information to the users, in a language which is universally accepted. The main focus will be on giving recommendations to the user based on touristís user profile consisting age, hobbies, tour type. Also information about tourist places will be available in audio format. Also, user will be provided with the option of downloading of tour plan if it goes out of range of internet connectivity.

Keywords: User profiling, Bayesian Decision Making, Probabilistic matching methodology.