Machine Learning for Recommender systems — Part 1 (algorithms, evaluation and cold start)

Recommender systems explained

In this article, I overview broad area of recommender systems, explain how individual algorithms work.

I will start with a definition. A recommender system is a technology that is deployed in the environment where items (products, movies, events…

Evaluating Recommender Systems: Choosing the best one for your business

Machine Learning for Recommender systems — Part 2 (Deep Recommendation, Sequence Prediction, AutoML and Reinforcement…

Deep Learning for Recommender Systems: Next basket prediction and sequential product recommendation

Accurate “next basket prediction” will be enabling next generation e-commerce — predictive shopping and logistics. In this blogpost, we will discuss the deep…

Introduction to personalized search

Personalized search should take into account user preferences and…

Personalized push notifications enabled by artificial intelligence

Recent progress in artificial intelligence enables us to design proactive AI systems. Whereas traditional recommender systems produce recommendation upon a user request helping them to discover relevant content or…

Recombee in 2019: New Features and Improvements