@article{ART003234361},
author={Jae-Woo Baek and Min-Gyu Jung and Moon-Hyung Kim and Kee-Hyun Jung and Mi-Ji Jeung and Gyu-Dong Park},
title={Improving C2 Workflow Performance with a Factorization Machine-based Recommendation System},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={8},
pages={179-187}
TY - JOUR
AU - Jae-Woo Baek
AU - Min-Gyu Jung
AU - Moon-Hyung Kim
AU - Kee-Hyun Jung
AU - Mi-Ji Jeung
AU - Gyu-Dong Park
TI - Improving C2 Workflow Performance with a Factorization Machine-based Recommendation System
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 8
PB - The Korean Society Of Computer And Information
SP - 179
EP - 187
SN - 1598-849X
AB - This study proposes a modular recommendation system to address information overload and reduced work efficiency in military command and control (C2) systems. Considering the limited availability of high-performance equipment such as GPUs in military environments, a CPU-based Factorization Machine (FM) model was adopted. Experiments using the MIND dataset, structurally similar to the ATCIS database, demonstrated that the FM model achieved comparable performance to related studies (AUC 0.60, nDCG@10 0.37) and operated effectively on CPUs. These results suggest that the proposed FM-based module is practically applicable to military command and control systems and can be practically applied with real military data in the future.
KW - Military C2 System;Information Overload;Recommendation System;Factorization Machine;MIND dataset
DO -
UR -
ER -
Jae-Woo Baek, Min-Gyu Jung, Moon-Hyung Kim, Kee-Hyun Jung, Mi-Ji Jeung and Gyu-Dong Park. (2025). Improving C2 Workflow Performance with a Factorization Machine-based Recommendation System. Journal of The Korea Society of Computer and Information, 30(8), 179-187.
Jae-Woo Baek, Min-Gyu Jung, Moon-Hyung Kim, Kee-Hyun Jung, Mi-Ji Jeung and Gyu-Dong Park. 2025, "Improving C2 Workflow Performance with a Factorization Machine-based Recommendation System", Journal of The Korea Society of Computer and Information, vol.30, no.8 pp.179-187.
Jae-Woo Baek, Min-Gyu Jung, Moon-Hyung Kim, Kee-Hyun Jung, Mi-Ji Jeung, Gyu-Dong Park "Improving C2 Workflow Performance with a Factorization Machine-based Recommendation System" Journal of The Korea Society of Computer and Information 30.8 pp.179-187 (2025) : 179.
Jae-Woo Baek, Min-Gyu Jung, Moon-Hyung Kim, Kee-Hyun Jung, Mi-Ji Jeung, Gyu-Dong Park. Improving C2 Workflow Performance with a Factorization Machine-based Recommendation System. 2025; 30(8), 179-187.
Jae-Woo Baek, Min-Gyu Jung, Moon-Hyung Kim, Kee-Hyun Jung, Mi-Ji Jeung and Gyu-Dong Park. "Improving C2 Workflow Performance with a Factorization Machine-based Recommendation System" Journal of The Korea Society of Computer and Information 30, no.8 (2025) : 179-187.
Jae-Woo Baek; Min-Gyu Jung; Moon-Hyung Kim; Kee-Hyun Jung; Mi-Ji Jeung; Gyu-Dong Park. Improving C2 Workflow Performance with a Factorization Machine-based Recommendation System. Journal of The Korea Society of Computer and Information, 30(8), 179-187.
Jae-Woo Baek; Min-Gyu Jung; Moon-Hyung Kim; Kee-Hyun Jung; Mi-Ji Jeung; Gyu-Dong Park. Improving C2 Workflow Performance with a Factorization Machine-based Recommendation System. Journal of The Korea Society of Computer and Information. 2025; 30(8) 179-187.
Jae-Woo Baek, Min-Gyu Jung, Moon-Hyung Kim, Kee-Hyun Jung, Mi-Ji Jeung, Gyu-Dong Park. Improving C2 Workflow Performance with a Factorization Machine-based Recommendation System. 2025; 30(8), 179-187.
Jae-Woo Baek, Min-Gyu Jung, Moon-Hyung Kim, Kee-Hyun Jung, Mi-Ji Jeung and Gyu-Dong Park. "Improving C2 Workflow Performance with a Factorization Machine-based Recommendation System" Journal of The Korea Society of Computer and Information 30, no.8 (2025) : 179-187.
