KraKen: Dietary Behavior and Preferences-Based Food Recommender System

Abstract

This study addresses a key objective of the United Nations Sustainable Development Goals: enhancing life expectancy and reducing principal mortality causes. In Mexico, the rising prevalence of chronic diseases such as diabetes, obesity, and hypertension has significantly compromised the quality of life. Given these challenges, there is a critical need for innovative, technology-based solutions that promote healthier lifestyles. Our research aims to implement the Kraken recommendation algorithm to identify and group users with similar behavioral patterns. By leveraging these patterns, the algorithm generates tailored recommendations designed to consistently improve dietary habits, considering both individual and collective preferences. Data for this study were gathered through an online survey targeting the Mexican populace. The findings indicate a significant shift towards healthier eating behaviors and an increased willingness to embrace emerging technologies. These trends herald a promising future where technological integration in health and wellness could substantially enhance community health and nutrition.