Master-Class “Big Data for Personalization: Building a Recommender System for Media Products”

Master-Class “Big Data for Personalization: Building a Recommender System for Media Products”

We will talk about how to use data science to improve business KPI’s such as engagement and churn rate. We’ll discuss basic personalization methods such as collaborative filtering and contend-based recommendations. We will look inside both the features of media-content recommedations and recommendations in e-commerce.

The Master-Class will be useful for anyone who is building web products and services relying on content, in particular, to business and data analysts, managers and startup founders.

In the 2-hours (+ Q&A) we will cover

• Basic methods of recommender systems
  – collaborative filtering
  – content-based
  – hybrid

• Difference from e-commerce

• Features of TV shows recommendations, importance of real-time learning

• Cold-start problem

• Using of data from social networks for recommendations

Speaker: Alexander Petrov,  CTO & Co-Founder at E-Contenta. Previously worked at Yandex, Mail.ru, Tinkoff digital. Graduated Faculty of Computer Science at Lomonosov Moscow State University in 2011. Experience in Big Data & Machine Learning 6 years. Developer of first modul and main teacher at course “Big Data Specialist” from New Professions Lab

When: July 11 at 7 p.m. (doors open at 6pm)

Where: Barcelona, Casa de Rusia, Josep Anselm Clavé, 31

Language: English