Towards a Densing Law for User Representation Learning at Billion-Scale Capacity
24 Aug 2026
User representation learning in real-world industrial scenarios is commonly scaled by increasing user amount, behavioral sequence length and model size. However, existing methods face two challenges: (i) Bottleneck for raw data scaling at billion-scale capacity, as performance…