International Journal (more than 55 papers)
Lim, H., Li, Q., Yang, S., & Kim, J. (2025). A BERT-based multi-embedding fusion method using review text for recommendation. Expert Systems, 42(5), e70041..
Li, X., Li, Q., Ryu, D., & Kim, J. (2025). A BERT-based review helpfulness prediction model utilizing consistency of ratings and texts. Applied Intelligence, 55(6), 455.
Lee, S., Shin, D., Kwon, K. H., Han, S. P., & Lee, S. K. (2024). Disinformation Spillover: Uncovering the Ripple Effect of Bot-Assisted Fake Social Engagement on Public Attention. MIS Quarterly, 48(3), 847-872.
Kim, D., Li, Q., Jang, D., & Kim, J. (2024). AXCF: Aspect‐based collaborative filtering for explainable recommendations. Expert Systems, 41(8), e13594.
Jang, D., Li, Q., Lee, C., & Kim, J. (2024). Attention-based multi attribute matrix factorization for enhanced recommendation performance. Information Systems, 121, 102334
Ren, L., Lee, S. K., & Chun, S. (2023). The effects of influencer type, regulatory focus, and perceived authenticity on consumers' purchase intention. International Journal of Consumer Studies, 47(4), 1241-1255.
Park, J., Li, X., Li, Q., & Kim, J. (2023). Impact on recommendation performance of online review helpfulness and consistency. Data Technologies and Applications, 57(2), 199-221.
Li, X., Li, Q., & Kim, J. (2023). A review helpfulness modeling mechanism for online e-commerce: Multi-channel CNN end‑to‑end approach. Applied Artificial Intelligence, 37(1), 2166226.
Kim, J. K., Jeong, C. G., Li, Q., & Choi, I. Y. (2022). The demand effect analysis of head books and tail books in book recommendation networks. Expert Systems, 39(2), e12847.
Park, G., Lee, S. K., & Choi, K. (2021). Evaluating the service operating efficiency and its determinants in global consulting firms: a metafrontier analysis. Sustainability, 13(18), 10352.
Domestic Journal (more than 45 papers)
우수현, 박선우, 김려, 이흠철, 이청용, 김재경. (2025). 고객의 속성별 중요도를 반영한 속성 기반 감성분석(ABSA)을 이용한 레스토랑 추천 시스템. 지능정보연구, 31(1), 45-70.
이채영, 박선우, 김려, 장동수, 이청용, 김재경. (2024). BART 기반 텍스트 요약을 활용한 전자상거래 추천 시스템 성능 향상. 인터넷전자상거래연구, 24(4), 151-170.
이청용, 장동수, 구하은, 김재경. (2024). 컨텍스트 정보의 속성 중요도를 고려한 딥러닝 기반 추천 모델 성능 향상에 관한 연구. 지능정보연구, 30(1), 17-36.
윤남식, 이석기. (2023). 서치펌의 서비스품질이 고객만족과 재추천의도에 미치는 영향 연구. 신용카드리뷰, 17(2), 44-60.
장동수, 이청용, 김재경. (2023). 딥러닝 기반 온라인 리뷰의 언어학적 특성을 활용한 추천 시스템 성능 향상에 관한 연구. 지능정보연구, 29(1), 41-63.
이흠철, 김동언, 이청용, 김재경. (2023). 명시적 및 암시적 피드백을 활용한 그래프 컨볼루션 네트워크 기반 추천 시스템 개발. 한국 IT 서비스학회지, 22(1), 43-5
이흠철, 윤효림, 이청용, 김재경. (2022). Multi-channel CNN 기반 온라인 리뷰 유용성 예측 모델 개발에 관한 연구. 지능정보연구, 28(2), 171-189.
이청용, 이병현, 이흠철, 김재경. (2021). CNN 기반 리뷰 유용성 점수 예측을 통한 개인화 추천 서비스 성능 향상에 관한 연구. 지능정보연구, 27(3), 29-56.
이청용, 최사박, 신병규, 김재경. (2021). 온라인 호텔 리뷰와 평점 불일치 문제 해결을 위한 딥러닝 기반 개인화 추천 서비스 연구. 경영정보학연구, 23(3), 51-75.
김성동, 이석기. (2020). 전처리 및 후처리에 의한 언어 차이 해소 능력을 개선한 영한 기계번역 시스템. 언어과학연구, 92, 151-179.
Conference (more than 35 papers)
Kim, S., Kim, R., Li, X., Li, Q., & Kim, J. (2024, Fall). Leveraging AI-driven advanced transformer for summarized review-aware recommendation. Paper presented at the Korea Intelligent Information Systems Society Fall Conference, South Korea.
Park, S., Kim, J., Li, X., Li, Q., & Kim, J. (2024, Spring). A multimodal review helpfulness prediction model considering review content and product consistency. Paper presented at the Korean Institute of Industrial Engineers and Korean Operations and Management Science Society Joint Spring Conference, Yeosu, South Korea.
Yang, S., Lim, H., Li, Q., & Kim, J. (2023, October). An attentive aspect-based explainable recommendation model with an attention mechanism. Paper presented at the Korea Intelligent Information Systems Society Fall Conference, Jeju, South Korea.
Li, X., Li, Q., Ryu, D., & Kim, J. (2023, Spring). A study on BERT-based review helpfulness prediction reflecting text-rating interaction. Paper presented at the Korean Institute of Industrial Engineers and Korean Operations and Management Science Society Joint Spring Conference, Jeju, South Korea.
Jang, D., Li, Q., Lee, C., & Kim, J. (2023, Spring). Enhancing recommendation performance using multi attribute-based attention mechanism: Evidence from Amazon.com. Paper presented at the Korean Institute of Industrial Engineers and Korean Operations and Management Science Society Joint Spring Conference, Jeju, South Korea.
Ryu, D., Li, X., Li, Q., & Kim, J. (2023, Spring). Development and evaluation of a DOC2VEC-based cross-domain recommender system model to address data sparsity issues. Paper presented at the Korean Institute of Industrial Engineers and Korean Operations and Management Science Society Joint Spring Conference, Jeju, South Korea.
Li, X., Li, Q., & Kim, J. (2022). A Multi-CNN model interacting contents and ratings for predicting review helpfulness. Paper presented at the 23rd International Conference on Electronic Commerce (ICEC 2022), Daegu, South Korea.
Choi, J., & Lee, S. K. (2021, June). A study on the quality factors of defense procurement services affecting the long-term orientation of procurement companies. Paper presented at the International Conference on Convergence Technology, Jeju, South Korea.
Choi, J., & Lee, S. K. (2021, June). Influence of competency and communication skill on client willingness and financial performance. Paper presented at the International Conference on Convergence Technology, Jeju, South Korea.
Jung, E., & Lee, S. K. (2021). Analysis of the correlation between satisfaction and dissatisfaction with the use of experimental (practice) teaching aids and purchase motivation: Targeting middle and high school teachers in Korea. Paper presented at the 7th International Conference for Small & Medium Business, Seoul, South Korea.