- Recommender Systems
- Natural Language Processing
- Graph Mining
- Anomaly Detection
- Computer Vision
| 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
- [2020.07.07] ADsP | ADsP-0252494
- [2020.12.31] Survey Analysis, Junior | 20505021002V
- [2021.07.16] Big Data Analysis, Engineer | BAE-002001654
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
- [2023.09.22] ICT이노베이션스퀘어 AI 해커톤: 3위
- [2023.05.24] 한국IT서비스학회: ERP 최우수 논문상
- [2022.10.14] 제 3회 대구 빅데이터 분석 경진대회: 최우수상
- [2020.10.30] 빅데이터 청년 캠퍼스: 장려상
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
This Techs that I've Studied
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent