Reinforcement learning over sentiment-augmented knowledge graphs towards accurate and explainable recommendation SJ Park, DK Chae, HK Bae, S Park, SW Kim Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 44 | 2022 |
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems Y Ko, JS Yu, HK Bae, Y Park, D Lee, SW Kim 2021 IEEE International Conference on Data Mining (ICDM), 290-299, 2021 | 10 | 2021 |
AiRS: a large-scale recommender system at naver news H Lim, YC Lee, JS Lee, S Han, S Kim, Y Jeong, C Kim, J Kim, S Han, ... 2022 IEEE 38th International Conference on Data Engineering (ICDE), 3386-3398, 2022 | 9 | 2022 |
“How to get consensus with neighbors?”: Rating standardization for accurate collaborative filtering HK Bae, HO Kim, WY Shin, SW Kim Knowledge-Based Systems 234, 107549, 2021 | 4 | 2021 |
LANCER: A lifetime-aware news recommender system HK Bae, J Ahn, D Lee, SW Kim Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4141-4148, 2023 | 2 | 2023 |
Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It’s NOT J Ahn, HK Bae, SW Kim Companion Proceedings of the ACM Web Conference 2023, 61-64, 2023 | 1 | 2023 |
A competition-aware approach to accurate TV show recommendation HK Bae, YC Lee, K Han, SW Kim 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2822-2834, 2023 | 1 | 2023 |
An Approach to Constructing Knowledge Graph for Recommender Systems based on Object Relations SJ Park, HK Bae, DK Chae, SW Kim Proceedings of the Korea Information Processing Society Conference, 759-760, 2020 | 1 | 2020 |
A Comparative Study for State-of-the-Art News Recommendation Methods HK Bae, J Ahn, SW Kim 한국차세대컴퓨팅학회 학술대회, 140-142, 2022 | | 2022 |
멀티 클래스 환경에서 추천을 위한 지식 증류를 이용하는 딥러닝 기반의 행렬 분해 기법 안효인, 우승윤, 배홍균, 김상욱 한국정보과학회 학술발표논문집, 1990-1992, 2021 | | 2021 |
On Evaluating Recommender Systems with Knowledge Distillation in Multi-Class Feedback Environment J Kim, HK Bae, SW Kim Proceedings of the Korea Information Processing Society Conference, 310-311, 2021 | | 2021 |
Precision Switching for Efficient Matrix Factorization in Recommender Systems JS Yu, YY Ko, HK Bae, S Kang, Y Yu, Y Park, SW Kim Proceedings of the Korea Information Processing Society Conference, 314-315, 2021 | | 2021 |
추천 시스템에서의 효율적인 행렬 분해 모델을 위한 정밀도 변환 기법 유재서, 고윤용, 배홍균, 강석원, 유용승, 박영준, 김상욱 한국정보처리학회 학술대회논문집 28 (1), 314-315, 2021 | | 2021 |
다중클래스 피드백을 이용한 지식증류기법 기반의 추천시스템 정확도 평가 김지연, 배홍균, 김상욱 한국정보처리학회 학술대회논문집 28 (1), 310-311, 2021 | | 2021 |
TV Show Recommendation: Methods and Evaluation HK Bae, YC Lee, SW Kim 한국콘텐츠학회 ICCC 논문집, 413-414, 2020 | | 2020 |
랜덤워크 기법을 위한 GPU 기반 희소행렬 벡터 곱셈 방안에 대한 성능 평가 유재서, 배홍균, 강석원, 유용승, 박영준, 김상욱 한국정보처리학회 학술대회논문집 27 (2), 96-97, 2020 | | 2020 |
객체 간 선호 관계 정보를 포함하는 지식 그래프 구축 기법 및 추천 시스템에서의 활용 방안 박성준, 배홍균, 채동규, 김상욱 한국정보처리학회, 2020 | | 2020 |
협업 필터링을 위한 듀얼 벡터 표기 방식 기반 오토인코더 심수정, 김장현, 배홍균, 김상욱 한국정보과학회, 2019 | | 2019 |
Duet: Dually Guided Knowledge Distillation from Explicit Feedback HK Bae, J Kim, J Lee, SW Kim Available at SSRN 4764505, 0 | | |