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...egression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance.pdf
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...Improving both individual-level and system-level diversity in WeChat Feed Recommender.pdf
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... E-commerce Product Search through Reinforcement Learning-Powered Query Reformulation.pdf
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...ed on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction.pdf
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...proving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection.pdf
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Industry/Query-dominant User Interest Network for Large-Scale Search Ranking.pdf
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...mantics - Learning a Behavior Augmented Relevance Model with Self-supervised Learning.pdf
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...A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search.pdf
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...elationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation.pdf
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...ro-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training.pdf
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...corporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.pdf
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.../Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation.pdf
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...tured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search.pdf
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Match/Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search.pdf
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...sentation Learning for High Quality Retrieval of Similar Products at E-commerce Scale.pdf
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Multi-Scenario/Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction.pdf
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...r Immersive Feed and No More Clicks - A Case Study of Short-Form Video Recommendation.pdf
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