2016 DeepNeuralNetworksforYoutubeRec

• (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.

Subject Headings: Deep Candidate Generation Model, Deep Item Ranking Model, User Embeddings.

Cited By

• http://scholar.google.com/scholar?q=%222016%22+Deep+Neural+Networks+for+Youtube+Recommendations

Quotes

Abstract

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.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2016 DeepNeuralNetworksforYoutubeRec	Paul Covington Jay Adams Emre Sargin			Deep Neural Networks for Youtube Recommendations