Data Science Summit 2019 Image credit: Unsplash

Recommendation engines based on autoencoders

Abstract

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.

Date
Location
Warsaw, Poland
Avatar
Filip Wójcik
Senior Data Scientist and PhD candidate

Data scientist and University researcher, passionate of machine learning and statistical analysis. In the same time - experienced software developer with experience in different technologies (from .NET to open-source).