Towards Next-Generation Multimedia Recommendation Systems

• Main Authors: SHEN, Jialie, YAN, Shuicheng, HUA, Xian-Sheng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/1831; https://ink.library.smu.edu.sg/context/sis_research/article/2830/viewcontent/p1109_shen.pdf
• Institution: Singapore Management University

Empowered by advances in information technology, such as social media network, digital library and mobile computing, there emerges an ever-increasing amounts of multimedia data. As the key technology to address the problem of information overload, multimedia recommendation system has been received a lot of attentions from both industry and academia. This course aims to 1) provide a series of detailed review of state-of-the-art in multimedia recommendation; 2) analyze key technical challenges in developing and evaluating next generation multimedia recommendation systems from different perspectives and 3) give some predictions about the road lies ahead of us.