The Dummies’ guide to building a movie recommendation system using SAP HANA Predictive Analysis Library

Room 32, 3rd floor

20th November, 15:00-15:30

As technology evolves, users are confronted with more and more information. Recommendation systems help them sort out this information according to their preferences, using a number of specific techniques. Such systems find their use in all kinds of domains, from music and movies to retail, travel or even financial products. Building a recommender can be achieved by combining data analysis, machine learning and software engineering and we will illustrate this with an example developed in SAP HANA, using the free dataset from IMDb.

Adela Roa Bacalu


Having a Computer Science and Economics background, Adela has been working in SAP development projects since 2010. Her current interests focus on enterprise solutions and data science. With a curious mind, she likes to try out the newest developments in technology and is always eager to spread the knowledge.