Recommendation systems at Zillow Group
Recommendation systems at Zillow Group


Zillow, the nation’s number-one real estate website and mobile app, pioneered providing access to unprecedented information about the housing market. Long gone are the days when you needed an agent to get comparables and prior sale and listing data. Enter Zillow, the nation’s number-one real estate website and mobile app. With more data, data science has enabled more use cases. Jasjeet Thind, Senior Director of Data Science and Engineering at Zillow Group, will discuss his organization's development of personalization algorithms and platforms at scale. He will go into how Zillow implemented its own machine learning algorithms to provide personalized for-sale and for-rent real estate recommendations.


Jasjeet Thind is the Sr. Director of Data Science & Engineering at Zillow. His group focuses on machine learned prediction models and big data systems that power use cases such as Zestimates®, personalization, housing indices, search, content recommendations, and user segmentation. Prior to Zillow, Jasjeet served as Director of Engineering at Yahoo!, where he architected a machine-learnt real-time big data platform leveraging social signals for user interest signals and content prediction. The system powers personalized content on Yahoo! (, Yahoo! Sports (, and Yahoo! News ( Jasjeet holds a B.S. and Masters in Computer Science from Cornell University.

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