Recommender systems with deep learning architectures

This post adresses the general problem of constructing a deep learning based recommender system. The particular architecture discribed in the paper is the one powering the new smart feed of the iki service, pushing your skills on daily basis -- to check its performance, please try product beta. If you feel familiar with the general idea of recommender systems, mainstream approaches and would like to go straight to the details of our solution, please skip first two sections of the paper. Recommender systems have changed the way we interact with lots of services. Instead of providing static data they bring interactive experience, an option to leave your feedback and to personalise the information you are given.