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Recommender Engines : A Peak into Predictive Analytics
Submitted by Raghav Bali (@baliraghav) on Saturday, 30 April 2016
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
Developer at Intel