Efficient user history modeling with amortized inference for deep learning recommendation models

Lars Hertel, Neil Daftary, Fedor Borisyuk +2

We study user history modeling via Transformer encoders in deep learning recommendation models (DLRM). Such architectures can significantly improve recommendation quality, but usua…