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

Tmall Group of Alibaba)

SIGIR 2026×3VLDB 2026可解释性效率与系统对齐与偏好检索与知识评测与基准
新星分新星
78
一作贡献40
核心/参与22
方向广度13
合作网络9
1 一作 · 4 篇 · SIGIR 2026 / VLDB 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

4
作者位次 #2/6SIGIR 2026Poster· Information Retrieval (Industry)

Cheaper is Better: A Discount-Aware Network for Conversion Rate Prediction in E-commerce Recommendation System

Ruocong Tang · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Chenyi Yan · Chuike Sun (Taobao &amp · Tmall Group of Alibaba)

摘要

Post-click conversion rate (CVR) is a crucial element in online recommendation systems, which addresses significant challenges such as data sparsity (DS), sample selection bias (SSB), and delayed feedback. However, the impact of item discount rate-a key factor influencing both pricing and user pu...

检索与知识可解释性效率与系统OpenReview
作者位次 #4/11SIGIR 2026Poster· Information Retrieval (Industry)

PGSF: Profile-Guided Semantic Fusion for Decoupled Industrial Pre-Ranking

Chuike Sun (Taobao &amp · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Shengjie Sun (Taobao &amp · Tmall Group of Alibaba) · Shengjie Sun (Taobao &amp · Tmall Group of Alibaba)

摘要

Pre-ranking is a critical stage in large-scale recommendation systems, strictly demanding both high efficiency and effectiveness. Despite being the industry benchmark for pre-ranking owing to its serving efficiency, the two-tower structure, by virtue of its decoupled architecture, inherently rest...

效率与系统评测与基准对齐与偏好OpenReview
作者位次 #4/7SIGIR 2026Poster· Information Retrieval (Industry)

Learning to Forget: Satiation-Aware Long-Sequence Transducers for Mitigating Post-Purchase Redundancy

Yipin Dai · Ruocong Tang · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Zhentao Song · He Guo

摘要

Sequential recommendation models predominantly interpret user interactions as positive signals for preference accumulation. However, in e-commerce scenarios, a purchase action often signifies the termination of a specific intent (''Interest Exit'') rather than its continuation. Existing models ov...

对齐与偏好可解释性数据与预训练OpenReview

常见合作者