• 강사 : 송길태 교수 (부산대학교 정보컴퓨터공학부)
• 일시 : 2022. 3. 24 (목) 17:00~18:30

Recommendation system techniques have been applied in various areas such as movie and music recommendations, and product suggestions in on-line stores. Deep neural network architecture has been integrated with traditional matrix factorization. This lecture covers some recent advanced recommender systems based on deep learning as well as common recommendation system techniques such as matrix factorization and latent factor models. In addition, we introduce several types of problems that have been resolved using recommender systems in healthcare and biomedical research.