paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
Y&

Yutong Li (Taobao &amp

SIGIR 2026效率与系统检索与知识代码
新星分新星
56
一作贡献30
核心/参与0
方向广度6
合作网络9
1 一作 · 1 篇 · SIGIR 2026

获取完整研究档案

首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

1
一作SIGIR 2026Poster· Information Retrieval (Short)

Equip Pre-ranking with Target Attention by Residual Quantization

Yutong Li (Taobao &amp · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Zerui Huang (Taobao &amp · Tmall Group of Alibaba) · Zerui Huang (Taobao &amp · Shengjie Sun (Taobao &amp · Tmall Group of Alibaba) · Shengjie Sun (Taobao &amp · Zerui Huang (Taobao &amp · Shengjie Sun (Taobao &amp

摘要

The pre-ranking stage in industrial recommendation systems faces a fundamental conflict between efficiency and effectiveness. While powerful models like Target Attention (TA) excel at capturing complex feature interactions in the ranking stage, their high computational cost makes them infeasible...

效率与系统检索与知识代码OpenReview

常见合作者