Spotify’s Discover Weekly: How machine learning finds new music
If there is at least one song that I like in Discover Weekly, then I consider it to be a good mix. However, this happens once a month at best. After reading the article and all three methods for recommendations, I cannot understand how on Earth it comes up with its suggestions. Do I feed it bad data? Does it not take into account the relative "weight" of a particular track, i.e. my preference to listen to it multiple times, skip others and so on? It looks like by considering these simple points it can be improved by a large margin.