The most prominent "deep papers" in the recommendation domain include: 1. Authors: Cheng et al. (Google)
Productionized on the Google Play Store, this architecture allows systems to remember specific feature combinations while still predicting interests for unseen items. 2. Deep Neural Networks for YouTube Recommendations Authors: Covington et al. (Google) 117371782_294128495019917_5947729689354735659_n...
Provides a comprehensive taxonomy of deep learning models used in recommendation, such as CNNs, RNNs, and Restricted Boltzmann Machines (RBMs). The most prominent "deep papers" in the recommendation