most citedTWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou

33 citations · 33 across the 1 of their papers we have counts for

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cs.IR2024★ 33 cited

TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou

Zihua Si, Lin Guan, ZhongXiang Sun +12

The significance of modeling long-term user interests for CTR prediction tasks in large-scale recommendation systems is progressively gaining attention among researchers and practi…