Adventurous Genre Exploration
In this master thesis, we aim to support music listeners to explore new musical genres by a novel recommender system for musical tracks. We can realize this by utilizing two measures: firstly, we aim at interacting with the user by asking for feedback regarding how "adventurous" the user is when it comes to exploring new genres and adapt the recommended tracks accordingly. Secondly, we aim at providing explanations to justify the recommended tracks.
The underlying recommender system and also, a user interface should be implemented on top of the Spotify API and we aim to evaluate this new system by conducting a user study.