Showing 1–20 of 24 results
/ Date/ Name
May 16, 2019Recent Advances in Diversified RecommendationFeb 24, 2019Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement LearningApr 19, 2021Understanding Chinese Video and Language via Contrastive Multimodal Pre-TrainingJul 1, 2023Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance ModelSep 25, 2025RecIS: Sparse to Dense, A Unified Training Framework for Recommendation ModelsMar 20, 2026AIGQ: An End-to-End Hybrid Generative Architecture for E-commerce Query RecommendationNov 3, 2025Unbiased Platform-Level Causal Estimation for Search Systems: A Competitive Isolation PSM-DID FrameworkAug 17, 2025TaoSR1: The Thinking Model for E-commerce Relevance SearchMar 24, 2026KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at TaobaoJul 28, 2021Shape Controllable Virtual Try-on for Underwear ModelsOct 6, 2022Distilling Task-specific Logical Rules from Large Pre-trained ModelsOct 9, 2025TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search RelevanceNov 17, 2025Retrieval-GRPO: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao SearchMay 18, 2021Path-based Deep Network for Candidate Item Matching in RecommendersMar 25, 2026UniScale: Synergistic Entire Space Data and Model Scaling for Search RankingMay 19, 2023Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret GuaranteesNov 26, 2019Hearing Lips: Improving Lip Reading by Distilling Speech RecognizersDec 24, 2020A Hybrid Bandit Framework for Diversified RecommendationMay 26, 2021SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment AnalysisOct 23, 2020Pre-training Graph Transformer with Multimodal Side Information for Recommendation