Determining a place where all members of a group will enjoy eating by learning the preferences of individual members and the group

Abstract

A system facilitates the selection of a restaurant which is suitable for a group having disparate taste preferences. Individual flavor profiles contain information pertaining to flavor preferences of individuals, and a group flavor profile is created based on the flavor profiles of individuals in a particular group. The group flavor profile is matched to one or more restaurant flavor profiles. An individual flavor profile includes numerical values associated with different flavor types, such as savory, sweet, sour, bitter and salty. An individual flavor profile is created by receiving an input indicative of a flavor type (such as a dish or food image) and determining the flavor type using a deep-learning neural network. The group flavor profile is created by averaging numerical values for respective flavor types from the individual flavor profiles of the group. A flavor profile can also include non-food preferences such as cost, traffic, distance, and weather.

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