Machine Learning, Information Retrieval.
of YouTube recommendation, a real-world example of a large application. They first filter videos by similarity, then rank videos with a pointwise loss for performance reasons (It is known that listwise is better to optimize the ranking metric in theory: An Analysis of the Softmax Cross Entropy Loss