Versioned late materialization stores user histories once and reconstructs sequences just-in-time during training to cut redundancy and enable longer sequences in large-scale recommendation systems.
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Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale
Versioned late materialization stores user histories once and reconstructs sequences just-in-time during training to cut redundancy and enable longer sequences in large-scale recommendation systems.