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Jialin Liu (Taobao &amp

SIGIR 2026可解释性对齐与偏好效率与系统
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0 一作 · 1 篇 · SIGIR 2026

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2026 顶会论文

1
作者位次 #13/18SIGIR 2026Poster· Information Retrieval (Industry)

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

Ge Fan (Taobao &amp · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Kai Meng (Taobao &amp · Huiping Chu (Taobao &amp · Tmall Group of Alibaba) · Yuning Jiang (Taobao &amp · Zerui Huang (Taobao &amp · Shengjie Sun (Taobao &amp · Huiping Chu (Taobao &amp · Shengjie Sun (Taobao &amp · Jialin Liu (Taobao &amp · Shengjie Sun (Taobao &amp · Yuning Jiang (Taobao &amp · Shengjie Sun (Taobao &amp · Zerui Huang (Taobao &amp · Shengjie Sun (Taobao &amp

摘要

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, s...

可解释性对齐与偏好效率与系统OpenReview

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