SlimPer Scales Recommendation Histories Without Quadratic Attention
A compact knowledge-base backbone queries full user histories at each layer, improving offline ranking metrics while cutting per-example FLOPs by 8×–25×.
Jul 28, 20265 min2607.12281
Jiyuan Zhang
1 article on SOTA Papers