Keynote: Deep learning for audio based music recommendation
The advent of deep learning has made it possible to extract high level information from perceptual signals without having to specify manually and explicitly how to obtain it; instead, this can be learned from examples. This creates opportunities for automated content analysis of musical audio signals. In this talk, I will discuss how deep learning techniques can be used for audio based music recommendation, with which we can tackle the item cold start problem that burdens the prevailing collaborative filtering approaches.
DLRS@RecSys