Modeling user preferences in sparse, large scale deep learning environment is a non trivial task. In this lecture i will describe user preferences modeling technique that convert the user long term history preferences into a vector representation using attention mechanism. I will show how the attention dynamically changes the user representation based on the specific context and different target items.