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ORCIDHong-Kyun Bae
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2020 – today
- 2024
[c9]Hong-Kyun Bae
, Hae-Ri Jang, Yang-Sae Moon, Sang-Wook Kim:
Item-Ranking Promotion in Recommender Systems. WWW (Companion Volume) 2024: 505-508- [c8]Jeewon Ahn, Hong-Kyun Bae, Sang-Wook Kim:
Is the 'Impression Log' Beneficial to Evaluating News Recommender Systems? No, it is Not! WWW (Companion Volume) 2024: 822-825 - [c7]Hong-Kyun Bae, Yebeen Kim, Hyunjoon Kim, Sang-Wook Kim:
Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation. WWW 2024: 3888-3899 - 2023
- [c6]Hong-Kyun Bae, Jeewon Ahn, Dongwon Lee, Sang-Wook Kim:
LANCER: A Lifetime-Aware News Recommender System. AAAI 2023: 4141-4148 - [c5]Hong-Kyun Bae, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim:
A Competition-Aware Approach to Accurate TV Show Recommendation. ICDE 2023: 2822-2834 - [c4]Jeewon Ahn, Hong-Kyun Bae, Sang-Wook Kim:
Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It's NOT. WWW (Companion Volume) 2023: 61-64 - 2022
- [c3]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:
AiRS: A Large-Scale Recommender System at NAVER News. ICDE 2022: 3386-3398 - [c2]Sung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, Sang-Wook Kim:
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation. WSDM 2022: 784-793 - 2021
- [j1]Hong-Kyun Bae, Hyung-Ook Kim, Won-Yong Shin, Sang-Wook Kim:
"How to get consensus with neighbors?": Rating standardization for accurate collaborative filtering. Knowl. Based Syst. 234: 107549 (2021) - [c1]Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim:
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems. ICDM 2021: 290-299
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