A personal emotion-based recipe recommendation mobile social platform: Mood canteen

Abstract

This study resulted in the development of a mobile social platform, called Mood Canteen, which has the purpose of meal cuisine and recipe sharing. Mood Canteen has two important characteristics: (1) to establish the relationship between food and emotion: To construct an interaction between food and personal emotions, Mood Canteen applies an emotion analysis mechanism on SNS to analyze emotions based on semantics, emoticons/emoji, and images of food- and cuisine-related posts, and it matches those emotions with food to create a user’s personal emotional state database and emotional food database according to the study’s results. (2) To establish an emotion-complementing healing system: To make emotion cuisine recommendations for users that meet their emotional state and help users alleviate negative emotions and promote positive emotions by sharing recipes and meals, Mood Canteen incorporates a newly created personalized meal recommendation mechanism that provides users with the appropriate comfort food selection based on a personal emotional state database and emotional food database. In addition, based on the characteristics and requirements of the mobile user interface, this study applied the SMASH usability heuristics to initiate the usability measurements of the developed Mood Canteen system.