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EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services

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  • LHRM: A LBS Based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform
  • EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services
  • Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation
  • Addressing the Item Cold-start Problem by Attribute-driven Active Learning
  • The Pure Cold-Start Problem: A deep study about how to conquer first-time users in recommendations domains
  • Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System
  • Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks
  • STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
  • Hybrid Item-Item Recommendation via Semi-Parametric Embedding
  • Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
  • Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems
  • HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation
  • From Zero-Shot Learning to Cold-Start Recommendation
  • MeLU:Meta-Learned User Preference Estimator for Cold-Start Recommendation
  • Dropoutnet addressing cold start in recommender systems
  • A survey on solving cold start problem in recommender systems
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