Finding the music of the moment can often be a challenging problem, even for humans with well-versed musical tastes. These challenges further explode into a myriad of complexities when attempting to construct algorithmic approaches for automatic playlist generation. A variety of factors play a role in influencing a listener’s perception of what music is appropriate on a given seed (e.g. musicological, social, geographical, generational), and these factors vary across different contexts and listeners.
Topics: Big Data, Machine Learning, AI, Machine Intelligence Summit