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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.)

Describes a two-stage system consisting of Candidate Generation and Ranking . 117371782_294128495019917_5947729689354735659_n...

Provides a comprehensive taxonomy of deep learning models used in recommendation, such as CNNs, RNNs, and Restricted Boltzmann Machines (RBMs). One of the most cited industrial deep learning

Combines the benefits of memorization (wide linear models) and generalization (deep neural networks). such as CNNs

Serves as a foundational reference for researchers to understand how different neural architectures address collaborative filtering and content-based tasks . 4. Personalized Research Paper Recommendation Deep Neural Networks for YouTube Recommendations