Recommendation Systems and Collaborative Filtering at Big Basket, Netflix

In this video, Mani introduces the concept of recommendation systems and discusses how they are used extensively in ecommerce to increase engagement and sales. He also demonstrates the various approaches to build a recommendation system and illustrates his point by showing how Big Basket uses their recommendation system to improve sales. In addition, you can also learn how Netflix recommends movies that users are likely to watch based on their profiles and watching history. In addition to Recommendation Systems, Mani also introduces the concept of Collaborative Filtering.

By: Mani Subramanian

Mani heads the Analytics function at bigbasket.com, India’s largest online food and grocery store. Mani has over 18 years of experience in Consulting and Analytics. Prior to bigbasket.com, Mani was a Director of Analytics at Dell. His prior experiences include co-leading the Supply Chain Center of Competence (CoC) at McKinsey, Principal Consultant at Infosys Technologies and Senior Consultant at Ernst & Young and PricewaterhouseCoopers. In these roles, Mani led supply chain transformation and technology engagements for clients across the US, Europe and the Middle East. Mani has advised clients across various industries with a key focus on industrial manufacturing and hi-tech industries. Mani graduated with a Bachelor of Engineering degree in Computer Science from University of Madras, an MBA from IIM Ahmedabad and a Master of Engineering degree from MIT.

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