The most prominent "deep papers" in the recommendation domain include: 1. Authors: Cheng et al. (Google)
One of the most cited industrial deep learning papers, explaining how YouTube uses deep learning to process billions of videos and user interactions. 3. Deep Learning-Based Recommendation: A Survey Authors: Various (e.g., Zhang et al.) 117371782_294128495019917_5947729689354735659_n...
Describes a two-stage system consisting of Candidate Generation and Ranking . The most prominent "deep papers" in the recommendation
Provides a comprehensive taxonomy of deep learning models used in recommendation, such as CNNs, RNNs, and Restricted Boltzmann Machines (RBMs). such as CNNs