My interests

Career

Type	Date	Contents	Organization
B.S. & B.A. Degree	2015.03 ~ 2021.08	Double Major Mathematics and Economics	Myong Ji Univ.
M.S. Degree	2021.08 ~ 2023.08	Department of Big Data Analytics	Kyung Hee Univ.
Work experience	2023.04 ~ 2023.07	Data Scientist	SK Planet
Experience	2023.11 ~ 2024.02	Naver Boostcamp AI Tech NLP 6	Naver Connect
Current	2024.02 ~	AI Consultant	Deloitte Consulting

Certification

Papers

[2023] Dongeon Kim, Qinglong Li, Dongsoo Jang, Jaekyeong Kim. AXCF: aspect-based collaborative filtering for explainable recommendations [URL]
[2023] Qinglong Li, Dongsoo Jang, Dongeon Kim, Jaekyeong Kim. Restaurant recommendation model using textual information to estimate consumer preference: Evidence from an online restaurant platform [URL]
[2022] Jaeho Jeong, Dongeon Kim, Xinzhe Li, Qinglong Li, Ilyoung Choi, Jaekyeong Kim. An Empirical Investigation of Personalized Recommendation and Reward Effect on Customer Behavior: A Stimulus-Organism-Response (SOR) Model Perspective [URL]

[2023] Qinglong Li, Jaeho Jeong, Dongeon Kim, Xinzhe Li, Jaekyeong Kim. Empirical Comparison of the Effects of Online and Offline Recommendation Duration on Performance: The Case of Korea Food E-commerce Company [URL]

[2024] Dongeon Kim, YeongHyeon Park. Empirical Analysis of Anomaly Detection on Hyperspectral Imaging Using Dimension Reduction Methods [URL]

[2023] Dongeon Kim, Dongsoo Kim, Jinzhe Yan, Jiaen Lee. Developing a deep learning-based recommendation model using online reviews for estimating consumer preferences: Evidence from an online restaurant platform [URL]
[2023] 장동수, 정다솜, 이청용, 김동언, 김재경. 중소기업의 지속가능한 경영을 위한 머신러닝 기반 스마트 컨설팅 방법론에 관한 연구 [URL]
[2023] 이흠철, 김동언, 이청용, 김재경. 명시적 및 암시적 피드백을 활용한 그래프 컨볼루션 네트워크 기반 추천 시스템 개발 [URL]
[2022] 김동언, 김민지, 김재경. 소규모 전자상거래를 위한 추천 시스템의 시간 차이에 따른 추천 효과 측정에 관한 연구 [URL]
[2022] 김동언, 이청용, 김재경. 역사 맞춤형 정책 수립을 위한 지하철 역사의 유형화 및 특성 분석에 관한 연구: 서울 지하철 사례를 중심으로 [URL]

[2023] 이청용, 장동수, 김동언, 김재경. Artificial intelligence mechanism for the hospitality industry: developing a personalized restaurant recommendation model for consumer decision-making [URL]
[2022] 김동언, 이청용, 정재호, 김재경. Comparison of Online-Offline Recommendation Performance based on Time-Lag Effect [URL]

Developing Aspect-based Explainable Collaborative Filtering: Focusing on Restaurant Industry: Graph Neural Networks, Recommender Systems, XAI, NLP

Awards

Patent

[2023] YeongHyeon Park, Dongeon Kim. Management method of foreign matter for liquid products and an device supporting the same
[2023] Dongeon Kim, YeongHyeon Park. Management method of foreign matter for liquid product based on a graph and an device supporting the same
[2022] Jaekyeong Kim, Dongeon Kim, Dongsoo Jang, Kyungmo Kang, Qinglong Li. Consulting system for supporting decision-making of enterprise and method thereof