19 results on '"Jun, Zhou"'
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2. Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.
3. Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models.
4. GATS: Generative Audience Targeting System for Online Advertising.
5. GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems.
6. Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System.
7. COUPA: An Industrial Recommender System for Online to Offline Service Platforms.
8. Alleviating Matching Bias in Marketing Recommendations.
9. Generative-Contrastive Graph Learning for Recommendation.
10. A Practical Online Allocation Framework at Industry-scale in Constrained Recommendation.
11. Towards Multi-Interest Pre-training with Sparse Capsule Network.
12. TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation.
13. MDI: A Debiasing Method Combining Unbiased and Biased Data.
14. Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework.
15. An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.
16. MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.
17. Learning to Select Instance: Simultaneous Transfer Learning and Clustering.
18. Reinforcement Learning for User Intent Prediction in Customer Service Bots.
19. Uncovering Insurance Fraud Conspiracy with Network Learning.
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