Alexander has graduated from the Computer Science Department of KNURE. Many years worked as software developer and architect. At 2012 began to study Machine Learning and mike-minded colleagues started Kharkiv Club of AI (Kharkiv AI Club) with for the development of community. Since 2014 is a leader of Data Science and Machine Learning directions at company AltexSoft.
Topic: Building of recommender systems for e-commerce
Short Description: Recommender systems – one of the most popular applications ML in business. We will observe popular types of recommender systems and the features of their building for e-commerce systems. In particular, we will talk about Collaborative filtering, Matrix factorization, Content-based recommenders, their differences, advantages and disadvantages, and also their applicability to our problem.