Modeling user music preference through usage scoring and user listening behavior for generating preferred playlists

• Main Authors: Caronongan, Arturo P., Cabredo, Rafael A.
• Format: text
• Published: Animo Repository 2016
• Subjects: Recommender systems (Information filtering); Multiagent systems; Information filtering systems; Music; Computer Sciences; Software Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2899
• Institution: De La Salle University

Recommending the most appropriate music is one of the most studied fields in the context of Recommendation systems with the growing number of content available to users and consumers alike. As it is an important aspect in the use of multi-media systems and the music industry, it is important to note...