arXiv AI
Balancing Trial and Reorder: A Hybrid Sequential Transformer-GBDT Ranker for On-Demand Delivery
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ZooWork-ShopRanker: An Open, Preference-Aligned E-Commerce Reranker
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SalesLoop: Reinforcement Learning from Performance Feedback for Sales Lead Ranking
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arXiv AI
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Beyond Ranking Accuracy: Evaluating LLM-Cited Feature Rationales for Next Basket Repurchase Recommendation
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Hugging Face Trending Papers
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CanniUplift: A Holistic Framework for Mitigating Seller and Incentive Cannibalization in E-commerce Uplift Modeling
Personalized incentive allocation is vital for e-commerce, where uplift modeling is the standard for estimating Individual Treatment Effects (ITE). However, traditional models often fail in complex multi-seller environments with violations of the Stable Unit Treatment Value Assumption (SUTVA).
arXiv Machine Learning
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Scaling Laws for Behavioral Foundation Models over User Event Sequences
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