Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs

Maxim Zhelnin, Dmitry Redko, Daniil Volkov +8

Sequential recommendations (SR) with transformer-based architectures are widely adopted in real-world applications, where SR models require frequent retraining to adapt to ever-cha…