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Wednesday, September 22 • 2:00pm - 2:50pm
Recommendation Algorithms: Different Types and Data Behind Them

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Ever wondered how a kitchen sink gets faucets recommended in “Frequently Bought Together”, and other kitchen sinks in “Compare Similar Items”? Or why that one recommended item is out of place?! At Overstock, various use cases for recommendations are backed by multiple algorithms using different data. In this talk, we’ll discuss different model types, the data behind them, and how they work together to provide relevant recommendations for our customers. Whether you want to compliment or complain about your recommendations, you don’t want to miss this talk.

Wednesday September 22, 2021 2:00pm - 2:50pm MDT