Two-Tower Neural Network Architecture for Candidate Generation in Recommendation System [Expedia]

An episode of the Snacks Weekly on Data Science podcast, hosted by Pan Wu, titled "Two-Tower Neural Network Architecture for Candidate Generation in Recommendation System [Expedia]" was published on March 11, 2024 and runs 9 minutes.

March 11, 2024 ·9m · Snacks Weekly on Data Science

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Summary

In this episode, we discuss the insights shared by Expedia's Machine Learning Engineering team on how they leverage the two-tower neural network architecture in the candidate generation stage of their recommendation system. Based on their published tech blog, with the link provided here for your reference: https://medium.com/expedia-group-tech/candidate-generation-using-a-two-tower-approach-with-expedia-group-traveler-data-ca6a0dcab83e

Episode Description

In this episode, we discuss the insights shared by Expedia's Machine Learning Engineering team on how they leverage the two-tower neural network architecture in the candidate generation stage of their recommendation system.

Based on their published tech blog, with the link provided here for your reference: https://medium.com/expedia-group-tech/candidate-generation-using-a-two-tower-approach-with-expedia-group-traveler-data-ca6a0dcab83e

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