Recommendation Systems: From Scratch to Spark Implementation

On 22 Apr, 2016 By admin 0 Comments

Register here.

Monday, June 13, 2016 - 5:30 PM

Microsoft R&D Auditorium - Shenkar 13, Herzliya 

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

Date: 
Monday, June 13, 2016 - 5:30pm to 8:45pm