Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale

Liang Guo, Ge Song, Litao Deng +9

Modern Deep Learning Recommendation Models (DLRMs) follow scaling laws with sequence length, driving the frontier toward ultra-long User Interaction History (UIH). However, the ind…