Recommendation Systems – from scratch to a working Spark implementation

Target audience:

Data Scientists, Big Data developers and product managers, who are interested in recommendation systems

Abstract:

In today’s digital world, where the number of choices a user face within one application can be overwhelming, and user engagement is a key success factor, recommendation systems help users find items of interest. This meetup will consist of two sessions. In the first session, we will provide a brief introduction to recommendation systems, basic algorithmic approaches and possible implementations. In the second session, we will show a step by step implementation of a simple recommendation system in Spark.

What will you learn:

• Motivation
• Problem definition
• Main algorithmic approaches:
o Collaborative Filtering
o Content-based Methods
o Hybrid Methods
• Evaluation metrics
• Implantation tools
• Recommendation systems in Spark

Presenters:
Shahar Cohen, https://il.linkedin.com/in/shahar-cohen-a606017
Oren Razon, https://il.linkedin.com/in/oren-razon-4b920031