Current music discovery techniques rely on human annotation and human behaviour to generate recommendations. We review current recommendation methods and take a in-depth look at new semantic recommendation methods, and discuss how both worlds can be combined to deliver an ultimately better music discovery experience.
Questions Answered:
How does music discovery happen in the digital age?
Which types of music recommendations system exist?
What are the pros and cons of the different recommendation approaches?
Which criteria can be used to evaluate a recommendation system?
What do listeners expect from music recommendation systems?
What do artists expect from music recommendation systems?