The Fifth Elephant 2016

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Recommender Engines : A Peak into Predictive Analytics

Submitted by Raghav Bali (@baliraghav) on Apr 30, 2016

Section: Full talk Technical level: Beginner Status: Submitted


The growth of data at exponential rates isn’t news today. Social media and e-commerce platforms are major contibuting factors to this story. With billions of users online, the potential for marketing and reach is immense. Recommender engines are utilized across domains to assist users make the right choices by understanding their behaviour and tastes.

This talk introduces the audience to the world of predictive analytics using recommender engines as an example. We outline the process of building a recommender engine all the while touching upon under-the-hood details of it.


The talk will focus mainly on the following topics:
1) Intro to Predictive Analytics
2) Different approaches for building recommender engines like matrix factorization, collaborative filtering, etc.
3) Issues with Recommender Engines.

The slides deck is WIP

Speaker bio

Developer at Intel


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