Difference between revisions of "2016 DeepNeuralNetworksforYoutubeRec"
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- (Covington et al., 2016) ⇒ Paul Covington, Jay Adams, and Emre Sargin. (2016). “Deep Neural Networks for Youtube Recommendations.” In: Proceedings of the 10th ACM conference on recommender systems.
YouTube represents one of the largest scale and most sophisticated industrial recommendation systems in existence. In this paper, we describe the system at a high level and focus on the dramatic performance improvements brought by deep learning. The paper is split according to the classic two-stage information retrieval dichotomy: first, we detail a deep candidate generation model and then describe a separate deep ranking model. We also provide practical lessons and insights derived from designing, iterating and maintaining a massive recommendation system with enormous user-facing impact.
|2016 DeepNeuralNetworksforYoutubeRec||Paul Covington|
|Deep Neural Networks for Youtube Recommendations||2016|