KraKen: Dietary Behavior and Preferences-based Food Recommender System

Authors

  • Martha Tinoco-Lara Instituto Politecnico Nacional - Centro de Investigacion en Computacion
  • Yenny Villuendas-Rey Instituto Politecnico Nacional - Centro de Investigacion en Computacion
  • Juan Ignacio Vilchis García Instituto Politécnico Nacional - Centro de Innovación y Desarrollo Tecnológico en Cómputo
  • Amadeo Arguelles

DOI:

https://doi.org/10.13053/cys-28-4-4969

Keywords:

healthy eating, food recommendation, recommender algorithm, intelligent computing, artificial intelligence, 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.

Author Biography

Martha Tinoco-Lara, Instituto Politecnico Nacional - Centro de Investigacion en Computacion

Martha Maria de Jesus Tinoco Lara, born in Mexico City, is a professional with a distinguished academic background in the field of computer science. She obtained her Bachelor's degree in Computer Science in 2013, followed by a Master's degree in Computing Technology granted by the Center for Innovation and Technological Development in Computing in 2017. Currently, she is pursuing a Doctorate in Computer Science at the Center for Computing Research of the National Polytechnic Institute.

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Published

2024-12-03

Issue

Vol. 28 No. 4 (2024): 28(4) 2024

Section

Articles

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