AI RESEARCH

Uniboost: Global Coordination with Value Alignment for Fair and Efficient Traffic Allocation

arXiv CS.AI

ArXi:2605.26424v1 Announce Type: cross With the rapid evolution of internet services, recommendation systems have become indispensable. In particular, the blending (re-ranking) stage plays a pivotal role in allocating traffic across diverse business objectives. However, existing approaches often suffer from coupled allocation plans, score inflation, and a lack of interpretability. To address these challenges, we propose Uniboost, a unified traffic allocation framework. Uniboost