KDD 2023 - Unifying Aspect Planning, Lexical COnstraints Generating Explanations in Recommendation

KDD 2023 - Unifying Aspect Planning, Lexical COnstraints Generating Explanations in Recommendation

KDD 2023 - Text Is All You Need: Learning Language Representations for Sequential RecommendationПодробнее

KDD 2023 - Text Is All You Need: Learning Language Representations for Sequential Recommendation

KDDD 2023 - Hierarchical Invariant Learning for Domain Generalization RecommendationПодробнее

KDDD 2023 - Hierarchical Invariant Learning for Domain Generalization Recommendation

KDD 2023 - Reconsidering Learning Objectives in Unbiased RecommendationПодробнее

KDD 2023 - Reconsidering Learning Objectives in Unbiased Recommendation

KDD 2023 - Personalized Federated Learning with Parameter PropagationПодробнее

KDD 2023 - Personalized Federated Learning with Parameter Propagation

Они не устают делать добро. They never tire of doing good.Подробнее

Они не устают делать добро. They never tire of doing good.

KDD 2023 - ESSA: Explanation Iterative Supervision via Saliency-guided Data AugmentationПодробнее

KDD 2023 - ESSA: Explanation Iterative Supervision via Saliency-guided Data Augmentation

KDD 2023 - Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate ExamplesПодробнее

KDD 2023 - Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples

KDD 2023 - Meta Graph Learning for Long-tail RecommendationПодробнее

KDD 2023 - Meta Graph Learning for Long-tail Recommendation

KDD 2023 - Modeling Dual Period-Varying Preferences for Takeaway RecommendationПодробнее

KDD 2023 - Modeling Dual Period-Varying Preferences for Takeaway Recommendation

KDD 2023 - An Observed Value Consistent Diffusion Model for Imputing Missing ValuesПодробнее

KDD 2023 - An Observed Value Consistent Diffusion Model for Imputing Missing Values

KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior ModelingПодробнее

KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

KDD 2023 - Adversarial Constrained Bidding via Minimax Regret OptimizationПодробнее

KDD 2023 - Adversarial Constrained Bidding via Minimax Regret Optimization

OSDI '24 - nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning TrainingПодробнее

OSDI '24 - nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training

KDD 2023 - Adaptive Disentangled Transformer for Sequential RecommendationПодробнее

KDD 2023 - Adaptive Disentangled Transformer for Sequential Recommendation

KDD 2023 - SAMD: An Industrial Framework for Heterogeneous Multi-Scenario RecommendationПодробнее

KDD 2023 - SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation

KDD 2024 - Temporal Prototype Aware LearningПодробнее

KDD 2024 - Temporal Prototype Aware Learning

KDD 2023 - Capacity Constrained Influence Maximization in Social NetworksПодробнее

KDD 2023 - Capacity Constrained Influence Maximization in Social Networks

BIAS@ECIR2022 - Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration ..Подробнее

BIAS@ECIR2022 - Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration ..

KDD 2023 - Multi-factor Sequential Re-ranking with Perception-Aware DiversificationПодробнее

KDD 2023 - Multi-factor Sequential Re-ranking with Perception-Aware Diversification