Media contributions
2Media contributions
Title Singing with Data Degree of recognition National Media name/outlet Medium blog post Media type Web Duration/Length/Size 9 min read Country/Territory Netherlands Date 23/12/19 Description Can we use recommender technologies to help people to acquire new (music) preferences? We took that challenge again during the Den Bosch Dataweek. In 2018, we tuned a concert program of an opera singer to the Spotify profiles of the audience. This year, we invited two choirs. One choir (Pop-soul choir Rosmalen) with a repertoire of mostly popular music and one choir (Strijps Kamerkoor), a classical chamber choir. We tuned the program to the musical profiles of the audience, but also shaped the program in such a way, that we could predict for each visitor which song of each pair of songs performed by the choirs they would like most. We provided the visitors with an app to measure and show their preferences and test whether our predictions were correct. In this blog we discuss the setup and results, showing that we can indeed predict, to some extent, what songs our visitors would like best during a live concert based on their spotify profiles. Producer/Author Martijn Willemsen URL https://medium.com/@m.c.willemsen/singing-with-data-7556bd98a0eb Persons Martijn C. Willemsen Title Den Bosch dataweek aftermovie Media name/outlet youtube Country/Territory Netherlands Date 14/11/19 Producer/Author Gemeente Den Bosch URL https://www.youtube.com/watch?v=99xaD6xhLgA Persons Martijn C. Willemsen
Exhibition
Title | Den Bosch Dataweek |
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Location | JADS Marienburg, Den Bosch, Netherlands |
Period | 28 Oct 2019 → 2 Nov 2019 |
Link | https://www.jads.nl/dbdw-2019.html |
Keywords
- Data Science
- Music
- Spotify
- Recommender Systems