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

Kuang-Chih Lee

KDD 2026SIGIR 2026检索与知识多模态对齐与偏好
新星分资深
21
一作贡献0
核心/参与9
方向广度9
合作网络6
0 一作 · 2 篇 · KDD 2026 / 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

2
作者位次 #7/7SIGIR 2026Poster· Information Retrieval (Industry)

Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling

Shasvat Desai · Md Omar Faruk Rokon · Jhalak Nilesh Acharya · Isha Shah · Hong Yao · Utkarsh Porwal · Kuang-Chih Lee

摘要

Modern search systems rely on a fast first-stage retriever to fetch relevant items from a massive catalog of items. Deployed search systems often use user engagement signals (clicks, etc.) to supervise bi-encoder retriever training at scale, because these signals are continuously logged from real...

检索与知识多模态对齐与偏好OpenReview

常见合作者