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This paper deals with the problem of menu recommendation, namely recommending menus that a person is likely to consume at a particular restaurant. We mine restaurant reviews to extract food words, we use sentiment analysis applied to each sentence in order to compute the individual food preferences. Then we extract frequent combination of dishes using a variation of the Apriori algorithm. Finally, we propose several recommender systems to provide suggestions of food items or entire menus, i.e. sets of dishes.
Trevisiol et al. (Fri,) studied this question.