3:30 PM Saturday
Silicon Valley Code Camp : October 11th and 12th 2014session

Developing Real Time Recommendation Engine

Based on Hadoop framework, Models, Statistics and Machine Learning, KIJI is a powerful framework to develop real time recommendation engines. In this session, let us learn it in detail and discuss use cases.

About This Session

In this session, you will learn about real time recommendation engines in general. First, we will discuss few use cases to start the session. We will review types of recommendation engines. Will introduce KIJI Framework used to develop recommendation engines. Will cover KIJI schema and software stack in detail and GitHub code repository. Will demonstrate how to use KIJI to develop your own recommendation engines. For beginners, we will quickly review Hadoop Framework as well. In the end, you will learn how we can use open source software to develop real time recommendation engines.

Time: 3:30 PM Saturday    Room: 4202 

The Speaker(s)

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Sunil Sabat

Senior Director , BigID

I am principal technical alliance manager at Informatica. I have presented paper at Silicon Valley Code Camp. I also offer big data training and blog at bigdataknowhow.weebly.com. I am MS(Comp Eng.), MS( Comp. Sc) and MBA. My passion is to learn new software and hardware technologies and solve practical use cases for the benefit of businesses, governments and people in general. I want to give back to community in many ways I can.