Travel and Tourism sector has vast growth in a current situation. So Recommender models are embryonic as a necessary to travel and tourism sector. Due to usage of Social media in current situation, huge volumes of recorded fact have been developed. Traditional system may not be enough for managing these kinds of data. So new system need to be developed in this research work based of the food classification made in travel and review dataset. These researches focus on the various classifications and visualize threshold curve measurements and time taken to build the each model. More or less Bayes and Function classifier have been produced the highest accuracy in this research work.