Hong-Kyun Bae

According to our database, Hong-Kyun Bae authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It's NOT.

Jeewon Ahn, Hong-Kyun Bae, Sang-Wook Kim

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

A Competition-Aware Approach to Accurate TV Show Recommendation.

Hong-Kyun Bae, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

LANCER: A Lifetime-Aware News Recommender System.

Hong-Kyun Bae, Jeewon Ahn, Dongwon Lee, Sang-Wook Kim

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation.

Sung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, Sang-Wook Kim

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

AiRS: A Large-Scale Recommender System at NAVER News.

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

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

"How to get consensus with neighbors?": Rating standardization for accurate collaborative filtering.

Hong-Kyun Bae, Hyung-Ook Kim, Won-Yong Shin, Sang-Wook Kim

Knowl. Based Syst., 2021

MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems.

Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim

Proceedings of the IEEE International Conference on Data Mining, 2021