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Ruocong Tang

SIGIR 2026×2可解释性检索与知识效率与系统对齐与偏好数据与预训练
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63
一作贡献30
核心/参与12
方向广度10
合作网络3
1 一作 · 2 篇 · SIGIR 2026

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2026 顶会论文

2
一作SIGIR 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 #2/7SIGIR 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

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