The way how people listen to music has changed significantly in the past years, and the topic of playlist generation grew to an important topic. While many existing approaches for playlist generation are based on single users, we focus on playlist generation for a group of people, in particular when a group of people socialize at a private party. First, users need to communicate their taste. For this task, we benefit from the possibilities of the social community Facebook and created an application where users have the possibility to define their favourite and also not liked music. Knowing these preferences, we divide the task of playlist generation in two subtasks, namely the selection of songs and the sorting of these songs in a way that there are nice transitions. For each of these two subtasks we present two approaches. The Map of Music was used as similarity measurement for songs. For the selections of songs, the first approach of the song selection is based on weighting all songs in the embedding of the Map of Music with different gaussian distributions and the second approach focusses especially on the artists that were selected by the users. For the sortin
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.