The comprehensive evaluation of the performance of a recommender system is a complex
endeavor: many facets need to be considered in configuring an adequate and effective …

The performance of recommender systems highly impacts both music streaming platform
users and the artists providing music. As fairness is a fundamental value of human life, there …

Several studies have identified discrepancies between the popularity of items in user
profiles and the corresponding recommendation lists. Such behavior, which concerns a …

We present the LFM-2b dataset containing the listening records of over 120,000 users of the
music platform Last. fm. These users provide a total of more than two billion individual …

The majority of music consumption nowadays takes place on music streaming platforms.
Whichever artists, albums, or songs are exposed to consumers on these platforms therefore …

Multimedia recommender systems suggest media items, eg, songs,(digital) books and
movies, to users by utilizing concepts of traditional recommender systems such as …

Calibration in recommender systems has recently gained significant attention. In the
recommended list of items, calibration ensures that the various (past) areas of interest of a …

The study of Music Recommender Systems (MRS) has become crucial in digital music
consumption, influencing how people discover and interact with music. This comprehensive …

Resum Music Recommender Systems (Music RS) are nowadays pivotal in sha** the
listening experience of people all around the world. Partly driven by the commercial …

Using regression and classification machine learning algorithms, this study explores audio
features on Spotify that contribute to the popularity of songs streamed in Indonesia, and then …