“…Recommender systems are used in various areas with commonly recognized examples, including playlist generators for video and music services, product recommenders for online stores and social media platforms, and open web content recommenders. …”

“…You will be learning how to use the power of Python to evaluate your recommender systems datasets based on user ratings, user choices, music genres, categories of movies, and their year of release. …”

“…This year, a total of 15 areas of interest were grouped into four research themes, including an Understanding Theme (covering Multimedia and Vision, Multimodal Analysis and Description, and Deep Learning for Multimedia), an Engagement Theme (covering Emotional and Social Signals in Multimedia, Multimedia Search and Recommendation, and Social Multimedia), an Experience Theme (covering Multimedia HCI and Quality of Experience, Multimedia Art, Entertainment and Culture, Multimedia for Collaboration in Education and Distributed Environments, and Music, Speech and Audio Processing in Multimedia), and a System Theme (covering Mobile Multimedia, Multimedia Scalability and Management System, Multimedia Systems and Middleware, Multimedia Telepresence and Virtual/Augmented Reality, and Multimedia Transport and Delivery). …”