Recommendation systems: from matrix factorization to deep learning in stream mode

Nowadays the recommendation systems are actively used both in entertainment (YouTube, Netflix) and in Internet marketing (Amazon, Aliexpress). In this regard, the talk will cover the practical aspects of using deep learning, collaborative and content filtering and filtering by time, as approaches for recommendation systems. In addition, the construction of hybrid advisory systems and modifications of approaches for online learning on Spark will be considered.