Combination diet recommendation system and method through collaborative filtering based on member attribute and feedback data that can recommend the optimal brand-menu combination diet with high user preference through collaborative filtering based on member attribute and feedback data, and recording medium is initiated. A combined diet recommendation system through collaborative filtering based on member attributes and feedback data according to an embodiment of the present invention includes: a user grouping module for grouping users into user groups based on attribute data related to a user's diet; a preference matrix generation module for generating a preference matrix indicating preference for a brand-menu in which a menu constituting a menu is combined with a brand related to the diet for each user group; a preference prediction module for selecting a target brand-menu for which no rating data exists in the preference matrix for a target user group, and predicting a preference for the target brand-menu; and a recommendation module for recommending a menu to be provided to the target user group based on the predicted preference of the target user group for the target brand-menu.
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