Hong-Kyun Bae

According to our database, Hong-Kyun Bae authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation.

Hong-Kyun Bae, Yebeen Kim, Hyunjoon Kim, Sang-Wook Kim

Proceedings of the ACM on Web Conference 2024, 2024

Item-Ranking Promotion in Recommender Systems.

Hong-Kyun Bae, Hae-Ri Jang, Yang-Sae Moon, Sang-Wook Kim

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Is the 'Impression Log' Beneficial to Evaluating News Recommender Systems? No, it is Not!

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

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