The recommender LAB of Martijn Willemsen researches how decisions can be supported by recommender systems, and includes domains such as movies, music, health related decisions and energy-saving measures. The LAB focuses on how insights from decision psychology can improve recommender algorithms, how to best evaluate recommender systems and on novel recommendation methods that help users with developing preferences and goals.
Music recommendations
Recent work is focusing on recommending music and playlists. Using data and APIs available from Spotify, severval master students are working on topics such as personalized mood playlists and peak-end rule effects in the overall evaluation of playlists. At JADS we are working on a spotify-based group recommender system that will construct optimal playlists for groups of users in a bar or that share on office.
check https:/spotify.vlab.nl/ to participate in our ongoing research on spotify music recommendations