Case-based Reasoning to Musical Playlist Recommendation
Try our new CBR Playlist Recommendation Engine in our labs!
This project implements a Case-based Reasoning (CBR) approach to musical playlist recommendation. Our CBR approach focuses on recommending new and meaningful playlsits. The Case Base is formed by a large collection of playlists. Then, the CBR system first retrieves from the Case Base the most relevant playlists, then combines them to generate a new playlist, both relevant to the input song and meaningful ordered. This research is developed in a joint project with the Artificial Intellgence Research Institute of the CSIC.
For further information on this project, please take a look at the following paper: Claudio Baccigalupo and Enric Plaza (2006), Case-based Sequential Ordering of Songs for Playlist Recommendation. Proceedings ECCBR-2006, Lecture Notes in Artificial Intelligence, Springer Verlag (to appear).
