MOVING participated at the ACM Recommender System Challenge 2018, organized by Spotify, The University of Massachusetts, and Johannes Kepler University. Iacopo Vagliano successfully the paper “Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation” presented 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. The workshop was co-located with the 12th ACM conference on Recommender Systems, which gathered 800 participants from 40 countries. The event had a high participation from industry, which accounted for the 73% of the attendees. As the ACM Recommender System Challenge 2018 was co-organized by Spotify, it also included a good number of industrial participants and was an occasion for disseminating the project results not only to academic researchers.

Iacopo Vagliano presenting the MOVING paper