作者: Luz Santamaria-Granados , Mario Munoz-Organero , Gustavo Ramirez-Gonzalez , Enas Abdulhay , N. Arunkumar
DOI: 10.1109/ACCESS.2018.2883213
关键词: Artificial intelligence 、 Pattern recognition 、 Arousal 、 Convolutional neural network 、 Context (language use) 、 Affect (psychology) 、 Recommender system 、 Deep learning 、 Feature extraction 、 Computer science 、 Domain (software engineering) 、 State (computer science)
摘要: Recommender systems have been based on context and content, and now the technological challenge of making personalized recommendations based on the user …