International Conferences
- Hong-Kyun Bae, Hae-Ri Jang, Won-Yong Shin, and Sang-Wook Kim. "Ranking Items by the Current-Preferences and Profits: A List-wise Learning-to-Rank Approach to Profit Maximization." ACM WWW, 2025. Top Conf.
- Hong-Kyun Bae, Yebeen Kim, Hyunjoon Kim, and Sang-Wook Kim. "Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation." ACM WWW, 2024. Top Conf.
- Hong-Kyun Bae, Hae-Ri Jang, Yang-Sae Moon, and Sang-Wook Kim. "Item-Ranking Promotion in Recommender Systems." ACM WWW (Short), 2024. Top Conf. Short
- Jeewon Ahn, Hong-Kyun Bae, and Sang-Wook Kim. "Is the ‘Impression Log’ Beneficial to Evaluating News Recommender Systems? No, it is Not!." ACM WWW (Short), 2024. Top Conf. Short
- Jeewon Ahn, Hong-Kyun Bae, and Sang-Wook Kim. "Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It’s NOT." ACM WWW (Short), 2023. Top Conf. Short
- Hong-Kyun Bae, Yeon-Chang Lee, Kyungsik Han, and Sang-Wook Kim. "A Competition-Aware Approach to Accurate TV Show Recommendation." IEEE ICDE, 2023. Top Conf.
- Hong-Kyun Bae, Jeewon Ahn, Dongwon Lee, and Sang-Wook Kim. "LANCER: A Lifetime-Aware News Recommender System." AAAI, 2023. Top Conf.
- Hongjun Lim, Yeon-Chang Lee, Jin-Seo Lee, Sanggyu Han, Seunghyeon Kim, Yeongjong Jeong, Changbong Kim, Jaehun Kim, Sunghoon Han, Solbi Choi, Hanjong Ko, Dokyeong Lee, Jaeho Choi, Yungi Kim, Hong-Kyun Bae, Taeho Kim, Jeewon Ahn, Hyun-Soung You, and Sang-Wook Kim. "AiRS: A Large-Scale Recommender System at NAVER News." IEEE ICDE, 2022. Top Conf. Industry
- Sung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, and Sang-Wook Kim. "Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation." ACM WSDM, 2022. Top Conf.
- Yunyong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, and Sang-Wook Kim. "MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems." IEEE ICDM, 2021. Top Conf.
- Hong-Kyun Bae, Jeewon Ahn, and Sang-Wook Kim. "A Comparative Study for State-of-the-Art News Recommendation Methods." ICNGC, 2022.
- Hong-Kyun Bae, Yeon-Chang Lee, and Sang-Wook Kim. "TV Show Recommendation: Methods and Evaluation." ICCC, 2020.
International SCIE Journals
- Hong-Kyun Bae, Jiyeon Kim, Jongwuk Lee, and Sang-Wook Kim. "DUET: Dually Guided Knowledge Distillation from Explicit Feedback." Information Fusion, 2025. IF 14.8
- Hong-Kyun Bae, Hyung-Ook Kim, Won-Yong Shin, and Sang-Wook Kim. "How to Get Consensus with Neighbors?: Rating Standardization for Accurate Collaborative Filtering." Knowledge-Based Systems, 2021. IF 7.2