ABSTRACT
This chapter focuses on the use of music-streaming services and machine learning (ML) in music recommendation systems and its impact on the musicscape. The digital revolution has led to significant changes in the way music is produced, distributed, and consumed, and streaming services have played a crucial role in shaping musical experiences through personalized recommendations. The advent of ML has enabled the use of large datasets and data to make predictions about musical preferences and provide personalized recommendations to users. The chapter first examines changes in the music industry brought about by the digital revolution and the role of streaming services in shaping the musicscape. An increase in the number of users of streaming services and changes in the musical practices and values of audience have been observed. Streaming services have provided easy access to vast music libraries, enabling users to discover new music and personalize their listening experiences.
