Hong-Kyun Bae

12 papers A* 6A 1Journal 2Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
DUET: Dually guided knowledge distillation from explicit feedback.
Inf. Fusion
Hong-Kyun Bae, Jiyeon Kim, Jongwuk Lee, Sang-Wook Kim
2025 A* conf
Ranking Items by the Current-Preferences and Profits: A List-wise Learning-to-Rank Approach to Profit Maximization.
WWW
Hong-Kyun Bae, Hae-Ri Jang, Won-Yong Shin, Sang-Wook Kim
2024 — conf
Is the 'Impression Log' Beneficial to Evaluating News Recommender Systems? No, it is Not!
WWW (Companion Volume)
JeeWon Ahn, Hong-Kyun Bae, Sang-Wook Kim
2024 — conf
Item-Ranking Promotion in Recommender Systems.
WWW (Companion Volume)
Hong-Kyun Bae, Hae-Ri Jang, Yang-Sae Moon, Sang-Wook Kim
2024 A* conf
Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation.
WWW
Hong-Kyun Bae, Yebeen Kim, Hyunjoon Kim, Sang-Wook Kim
2023 A* conf
A Competition-Aware Approach to Accurate TV Show Recommendation.
ICDE
Hong-Kyun Bae, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim
2023 — conf
Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It's NOT.
WWW (Companion Volume)
JeeWon Ahn, Hong-Kyun Bae, Sang-Wook Kim
2023 A* conf
LANCER: A Lifetime-Aware News Recommender System.
AAAI
Hong-Kyun Bae, JeeWon Ahn, Dongwon Lee, Sang-Wook Kim
2022 A* conf
AiRS: A Large-Scale Recommender System at NAVER News.
ICDE
Hongjun Lim, Yeon-Chang Lee, Jin-Seo Lee, Sanggyu Han, Seunghyeon Kim, Yeon Jeong 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, Sang-Wook Kim
2022 A conf
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation.
WSDM
Sung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, Sang-Wook Kim
2021 J jnl
"How to get consensus with neighbors?": Rating standardization for accurate collaborative filtering.
Knowl. Based Syst.
Hong-Kyun Bae, Hyung-Ook Kim, Won-Yong Shin, Sang-Wook Kim
2021 A* conf
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems.
ICDM
Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim