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)
Describes a two-stage system consisting of Candidate Generation and Ranking . 117371782_294128495019917_5947729689354735659_n...
The most prominent "deep papers" in the recommendation domain include: 1. Authors: Cheng et al. (Google) Productionized on the Google Play Store, this architecture
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.) Productionized on the Google Play Store