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How Recommendation Engines Actually Work - Strategies and Principles

How Recommendation Engines Actually Work - Strategies and Principles

FromThe AI in Business Podcast


How Recommendation Engines Actually Work - Strategies and Principles

FromThe AI in Business Podcast

ratings:
Length:
20 minutes
Released:
Aug 19, 2018
Format:
Podcast episode

Description

When we think of recommendation engines, we might think of Amazon or Netflix, but while consumer goods and entertainment might be the most prominent domains for recommendation engines, there are others. This week, we speak with Madhu Gopinathan of MakeMyTrip.com, one of the few Indian unicorn companies, about recommendation engines for travel companies. According to Madhu, MakeMyTrip’s recommendation engine has to figure out the best hotels for customer given their destination, but recommending hotels to first-time users and those who don’t frequent the site can prove challenging. How does a travel company’s AI-based recommendation engine start the process of making well-informed recommendations? Madhu talks to us about how a recommendation engine might match people immediately with their preferred product or service when the on-site data does not exist to inform the AI-driven recommendations. See the full interview article here: www.techemergence.com/recommendation-engines-actually-work-strategies-principles
Released:
Aug 19, 2018
Format:
Podcast episode

Titles in the series (100)

Learn what's possible - and what's working - with artificial intelligence in the enterprise. Each week, Emerj founder Daniel Faggella interviews top AI and machine learning-focused executives and researchers in sectors like Pharma, Banking, Retail, Defense, and more. Discover trends, learn about what's working now, and learn how to adapt and thrive in an era of AI disruption. Be sure to subscribe to "AI in Industry."