Associative Rule Generation is the system of recommending food on the basis of occurrence of the food items with each other. The recommendation is carried out on the basis of pattern of food order in past. It is one of the application of associative rule mining that is carried out by using support and confidence. Apriori algorithm is used for the rule generations and the recommendation changes according to the change in support and confidence value.