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29 Sep 2021
Scientists develop revolutionary AI system to find music you’ll like
By Mr Khalil Damak (graduate student, Department of Computer Science and Engineering, University of Louisville), Dr Olfa Nasraoui (professor, Department of Computer Engineering and Computer Science, University of Louisville), and Dr William Scott Sanders (assistant professor, Department of Communication, University of Louisville) Image credit: Tada Images / Shutterstock.com Recommendation systems are intelligent online user interfaces like Amazon, Youtube, or Netflix, where the system identify music, films, or books you might like based on your previous interaction with the system. Such systems use so-called ‘Deep Learning‘, a branch of artificial intelligence (AI). In a recent paper in Frontiers in Big Data, scientists from the University of Louisville, KY, USA, use Deep Learning to propose a more accurate and personalized recommendation system for finding songs online. Here, the authors explain how their novel system works, and what makes it different. What are recommender systems and why are they important? Recommender systems are computational engines whose goal is to learn the users’ preferences in order to personalize their experiences online. These systems have become prevalent in various fields, and have become especially essential on e-commerce websites, streaming platforms, and other internet-based platforms that offer millions of products or options for users to choose […]
