EPISODE · Jun 9, 2025 · 6 MIN
Predicting user actions with transformer-based models [Hike]
from Snacks Weekly on Data Science · host Pan Wu
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
What this episode covers
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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Predicting user actions with transformer-based models [Hike]
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