We are completely surrounded by Recommender systems. If you watch something on Amazon, Netflix or YouTube, you immediately get a list of recommendations on what to watch next. And, it is not just music or videos. You constantly get recommendations on Amazon—people who bought this book also bought this other book. Same goes for restaurant recommendations. Then there are targeted advertisements, a manifestation of similar technology that assesses your personal profile and figures out what to show you.
So, how do these systems work? Personalization is one of the key applications in machine learning with widespread usage across e-commerce, entertainment, production, healthcare and many other industries.
This talk will present recent advances across the personalization industry and demonstrates their practical applications in real case-studies of world-leading online platforms