EmoCuisine: Emotion-Based Restaurant Recommendation System

Abstract

Restaurant recommendation systems play a crucial role in assisting users with selecting dining options. Traditional recommendation systems have limitations as they do not consider users' emotional states. This research paper proposes an innovative approach by incorporating emotional intelligence into the restaurant recommendation process. The purpose of this research is to explore the role of emotions in decision-making and user preferences in restaurant recommendation systems. One step in the process is setting up a study of the literature to look at earlier studies on the role of emotions in decision-making and user preferences. Findings from the literature review reveal that emotions play a significant role in satisfaction formation and influence users' dining experiences. By incorporating emotional intelligence into the recommendation system, users' emotional states can be taken into account, resulting in more personalized and satisfying dining experiences.