@article{ART003028411},
author={Ho-yeon Park and Kyoung-jae Kim},
title={Convolutional Neural Network Model Using Data Augmentation for Emotion AI-based Recommendation Systems},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={12},
pages={57-66},
doi={10.9708/jksci.2023.28.12.057}
TY - JOUR
AU - Ho-yeon Park
AU - Kyoung-jae Kim
TI - Convolutional Neural Network Model Using Data Augmentation for Emotion AI-based Recommendation Systems
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 12
PB - The Korean Society Of Computer And Information
SP - 57
EP - 66
SN - 1598-849X
AB - In this study, we propose a novel research framework for the recommendation system that can estimate the user's emotional state and reflect it in the recommendation process by applying deep learning techniques and emotion AI (artificial intelligence). To this end, we build an emotion classification model that classifies each of the seven emotions of angry, disgust, fear, happy, sad, surprise, and neutral, respectively, and propose a model that can reflect this result in the recommendation process. However, in the general emotion classification data, the difference in distribution ratio between each label is large, so it may be difficult to expect generalized classification results. In this study, since the number of emotion data such as disgust in emotion image data is often insufficient, correction is made through augmentation. Lastly, we propose a method to reflect the emotion prediction model based on data through image augmentation in the recommendation systems.
KW - Emotion AI;Emotion classification model;Data augmentation;Recommendation systems;Convolutional neural network
DO - 10.9708/jksci.2023.28.12.057
ER -
Ho-yeon Park and Kyoung-jae Kim. (2023). Convolutional Neural Network Model Using Data Augmentation for Emotion AI-based Recommendation Systems. Journal of The Korea Society of Computer and Information, 28(12), 57-66.
Ho-yeon Park and Kyoung-jae Kim. 2023, "Convolutional Neural Network Model Using Data Augmentation for Emotion AI-based Recommendation Systems", Journal of The Korea Society of Computer and Information, vol.28, no.12 pp.57-66. Available from: doi:10.9708/jksci.2023.28.12.057
Ho-yeon Park, Kyoung-jae Kim "Convolutional Neural Network Model Using Data Augmentation for Emotion AI-based Recommendation Systems" Journal of The Korea Society of Computer and Information 28.12 pp.57-66 (2023) : 57.
Ho-yeon Park, Kyoung-jae Kim. Convolutional Neural Network Model Using Data Augmentation for Emotion AI-based Recommendation Systems. 2023; 28(12), 57-66. Available from: doi:10.9708/jksci.2023.28.12.057
Ho-yeon Park and Kyoung-jae Kim. "Convolutional Neural Network Model Using Data Augmentation for Emotion AI-based Recommendation Systems" Journal of The Korea Society of Computer and Information 28, no.12 (2023) : 57-66.doi: 10.9708/jksci.2023.28.12.057
Ho-yeon Park; Kyoung-jae Kim. Convolutional Neural Network Model Using Data Augmentation for Emotion AI-based Recommendation Systems. Journal of The Korea Society of Computer and Information, 28(12), 57-66. doi: 10.9708/jksci.2023.28.12.057
Ho-yeon Park; Kyoung-jae Kim. Convolutional Neural Network Model Using Data Augmentation for Emotion AI-based Recommendation Systems. Journal of The Korea Society of Computer and Information. 2023; 28(12) 57-66. doi: 10.9708/jksci.2023.28.12.057
Ho-yeon Park, Kyoung-jae Kim. Convolutional Neural Network Model Using Data Augmentation for Emotion AI-based Recommendation Systems. 2023; 28(12), 57-66. Available from: doi:10.9708/jksci.2023.28.12.057
Ho-yeon Park and Kyoung-jae Kim. "Convolutional Neural Network Model Using Data Augmentation for Emotion AI-based Recommendation Systems" Journal of The Korea Society of Computer and Information 28, no.12 (2023) : 57-66.doi: 10.9708/jksci.2023.28.12.057
