Recommendation engines based on autoencoders

Recommendation engines are probably the most important tools for modern e-commerce organizations. As the data volumes grow larger and larger (as well as product/user base), traditional approaches based on collaborative might be not enough. During this talk I will present alternative approaches to recommendations - making use of deep stacked autoencoders.