RecSys 2018

The ACM Recommender Systems conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. RecSys organised by Spotify, the University of Massachusetts, and Johannes Kepler University. The REcSys Challenge workshop focused on music recommendation, specifically the challenge of automatic playlist continuation.

Iacopo Vagliano from ZBW presented the paper “Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation” at the RecSys Challenge Workshop 2018. The work by Iacopo Vagliano, Lukas Galke, Florian Mai and Ansgar Scherp shows that the technique used to suggest citations developed in the project can be also effective to automatically continue musical playlists.