584 citations · 607 across the 7 of their papers we have counts for
3 papers · 1 filter
The Importance of Song Context and Song Order in Automated Music Playlist Generation
Andreu Vall, Massimo Quadrana, Markus Schedl +1
The automated generation of music playlists can be naturally regarded as a sequential task, where a recommender system suggests a stream of songs that constitute a listening sessio…
Modeling Musical Taste Evolution with Recurrent Neural Networks
Massimo Quadrana, Marta Reznakova, Tao Ye +2
Finding the music of the moment can often be a challenging problem, even for well-versed music listeners. Musical tastes are constantly in flux, and the problem of developing compu…
Sequence-Aware Recommender Systems
Massimo Quadrana, Paolo Cremonesi, Dietmar Jannach
Recommender systems are one of the most successful applications of data mining and machine learning technology in practice. Academic research in the field is historically often bas…