bias mitigation 2click-through rate prediction 1conversion rate prediction 1cross-attention 1discount modeling 1e-commerce search 1feature tokenization 1post-purchase redundancy 1recommender systems 1satiation-aware mechanisms 1self-supervised learning 1sequential recommendation 1
From the 3 of 22 papers with an AI index.
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- Shanghai Jiao Tong UniversityCN3 papers
- Zhejiang UniversityCN2 papers
- Beihang UniversityCN1 paper
- China Electronics Technology Group CorporationCN1 paper
- Chinese Academy of SciencesCN1 paper
- Cloud Computing CenterCN1 paper
- Fudan UniversityCN1 paper
- Fuzhou UniversityCN1 paper
- Hong Kong Footwear FederationCN1 paper
- Horizon Robotics (China)1 paper
- Institute of MicroelectronicsCN1 paper
- Louisiana State UniversityUS1 paper
Showing cs.LGShow all
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cs.LG2026
FunnelCausalNet: Funnel-aware Joint Conversion-Revenue Uplift for Multi-tier Coupon Allocation
Yu Zhang, Zhihan Wang, Guanlin Chen +2
Coupon campaigns seek to lift both conversion and revenue, but gross merchandise value (GMV) follows a deterministic funnel from conversion to conditional order value and is zero-i…
cs.LG2026
CanniUplift: A Holistic Framework for Mitigating Seller and Incentive Cannibalization in E-commerce Uplift Modeling
Zuwang He, Shihao Shu, Yuli Qu +8
Personalized incentive allocation is vital for e-commerce, where uplift modeling is the standard for estimating Individual Treatment Effects (ITE). However, traditional models ofte…
cs.LG2026
Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning
Chenhao Dang, Jing Ma, Mingjie Liao
The composition of training data, governed by the diversity of sources and their mixing strategy, is a cornerstone of Large Language Model (LLM) pre-training. Online Data Mixing (O…