Predicting user actions with transformer-based models [Hike]
Episode 89 of the Snacks Weekly on Data Science podcast, hosted by Pan Wu, titled "Predicting user actions with transformer-based models [Hike]" was published on June 9, 2025 and runs 6 minutes.
June 9, 2025 ·6m · Snacks Weekly on Data Science
Summary
In this episode, we will explore how Hike applied transformer-based models to predict user behavior in their Rush Gaming Universe. We will look at the business motivation and break down the technical solution, from input features to prediction and evaluation. This case is a good example of how modern deep learning techniques can drive real impact in improving user experience.For more details, you can refer to their published tech blog, linked here for your reference: https://blog.hike.in/predicting-user-actions-with-transformer-based-models-ffd1c6b68e99
Episode Description
In this episode, we will explore how Hike applied transformer-based models to predict user behavior in their Rush Gaming Universe. We will look at the business motivation and break down the technical solution, from input features to prediction and evaluation. This case is a good example of how modern deep learning techniques can drive real impact in improving user experience.
For more details, you can refer to their published tech blog, linked here for your reference: https://blog.hike.in/predicting-user-actions-with-transformer-based-models-ffd1c6b68e99
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