Deep learning has arguably achieved tremendous success in recent years. In
simple words, deep learning uses the composition of many nonlinear functions to
model the complex dependency between input features and labels. While neural
networks have a...
Deep learning techniques have become the method of choice for researchers
working on algorithmic aspects of recommender systems. With the strongly
increased interest in machine learning in general, it has, as a result, become
difficult to keep track...