Predict Click Probability for Music Recommendations

Design a machine learning system that estimates the probability that a user clicks a specific recommended song when it is shown. Cover these parts of the design: how songs are represented, how to handle extremely sparse features, which prediction model to use, and how to evaluate the resulting click predictions. For this design, use the following assumptions: The system consumes a user, a candidate song, and recommendation context, and returns a click probability for that…