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Neural Networks for Recommender Systems

Olivier Grisel at dotAI 2017

Recommender Systems are arguably the most common business application of Machine Learning systems. Recently a new blend of recommender systems have been developed by leveraging the tools and the modeling flexibility from the Deep Learning ecosystem.

This presentation gives an overview of the main RecSys concepts such as matrix completion for collaborative filtering and relate those to current trends in Neural Network architectures.


To see the slides, you can click here