@article{ART003212697},
author={Sang Kyoung Shin and Min Soo Sun and Min Young Kim and Ho-Young Kwak and Soo Kyun Kim},
title={Design of a Personalized Food Recommender Using GPS, TF-IDF, and Reinforcement Learning},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={6},
pages={91-99}
TY - JOUR
AU - Sang Kyoung Shin
AU - Min Soo Sun
AU - Min Young Kim
AU - Ho-Young Kwak
AU - Soo Kyun Kim
TI - Design of a Personalized Food Recommender Using GPS, TF-IDF, and Reinforcement Learning
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 6
PB - The Korean Society Of Computer And Information
SP - 91
EP - 99
SN - 1598-849X
AB - In modern society's busy daily life and information overload, many people struggle with excessive time and energy consumption even when choosing lunch menus due to numerous options, ultimately leading to decision fatigue and decreased satisfaction. Particularly, office workers and students need quick decisions during limited lunch breaks, yet effective decision-making tools are lacking. To address this issue, we design "WhatToEat?", a personalized menu recommendation service utilizing GPS and user preferences. We implement a mobile application based on React Native and Django frameworks.
By optimizing the food menu recommendation system using TF-IDF algorithms and enhancing nutritional information features for allergies and dietary adjustments through reinforcement learning, we improved user satisfaction by up to 60%.
KW - Menu recommendation;personalization;location-based;nutrition;mobile
DO -
UR -
ER -
Sang Kyoung Shin, Min Soo Sun, Min Young Kim, Ho-Young Kwak and Soo Kyun Kim. (2025). Design of a Personalized Food Recommender Using GPS, TF-IDF, and Reinforcement Learning. Journal of The Korea Society of Computer and Information, 30(6), 91-99.
Sang Kyoung Shin, Min Soo Sun, Min Young Kim, Ho-Young Kwak and Soo Kyun Kim. 2025, "Design of a Personalized Food Recommender Using GPS, TF-IDF, and Reinforcement Learning", Journal of The Korea Society of Computer and Information, vol.30, no.6 pp.91-99.
Sang Kyoung Shin, Min Soo Sun, Min Young Kim, Ho-Young Kwak, Soo Kyun Kim "Design of a Personalized Food Recommender Using GPS, TF-IDF, and Reinforcement Learning" Journal of The Korea Society of Computer and Information 30.6 pp.91-99 (2025) : 91.
Sang Kyoung Shin, Min Soo Sun, Min Young Kim, Ho-Young Kwak, Soo Kyun Kim. Design of a Personalized Food Recommender Using GPS, TF-IDF, and Reinforcement Learning. 2025; 30(6), 91-99.
Sang Kyoung Shin, Min Soo Sun, Min Young Kim, Ho-Young Kwak and Soo Kyun Kim. "Design of a Personalized Food Recommender Using GPS, TF-IDF, and Reinforcement Learning" Journal of The Korea Society of Computer and Information 30, no.6 (2025) : 91-99.
Sang Kyoung Shin; Min Soo Sun; Min Young Kim; Ho-Young Kwak; Soo Kyun Kim. Design of a Personalized Food Recommender Using GPS, TF-IDF, and Reinforcement Learning. Journal of The Korea Society of Computer and Information, 30(6), 91-99.
Sang Kyoung Shin; Min Soo Sun; Min Young Kim; Ho-Young Kwak; Soo Kyun Kim. Design of a Personalized Food Recommender Using GPS, TF-IDF, and Reinforcement Learning. Journal of The Korea Society of Computer and Information. 2025; 30(6) 91-99.
Sang Kyoung Shin, Min Soo Sun, Min Young Kim, Ho-Young Kwak, Soo Kyun Kim. Design of a Personalized Food Recommender Using GPS, TF-IDF, and Reinforcement Learning. 2025; 30(6), 91-99.
Sang Kyoung Shin, Min Soo Sun, Min Young Kim, Ho-Young Kwak and Soo Kyun Kim. "Design of a Personalized Food Recommender Using GPS, TF-IDF, and Reinforcement Learning" Journal of The Korea Society of Computer and Information 30, no.6 (2025) : 91-99.
