Vehicle Recommendation System is a user-based recommendation system that recommends automobiles to the users according to their past history and similarity mapping with other users. Users can rate a particular vehicle and are recommended other vehicles based on the assumption that they may be interested in those vehicles. Similar users are found by calculating Pearson’s correlation coefficient and its value is used to map similar users. The vehicles are recommended on the basis of interest of similar users.