A Model of Two Tales - Dual Transfer Learning Framework for Improved Long-tail Item Recommendation.pdf
A Multi-modal Modeling Framework for Cold-start Short-video Recommendation.pdf
A Practical Exploration System for Search Advertising.pdf
A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps.pdf
Addressing the Item Cold-start Problem by Attribute-driven Active Learning.pdf
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework.pdf
An Unified Search and Recommendation Foundation Model for Cold-Start Scenario.pdf
Bootstrapping Contrastive Learning Enhanced Music Cold-Start Matching.pdf
Cold & Warm Net - Addressing Cold-Start Users in Recommender Systems.pdf
Cold-start Sequential Recommendation via Meta Learner.pdf
Contrastive Collaborative Filtering for Cold-Start Item Recommendation.pdf
Contrastive Learning for Cold-Start Recommendation.pdf
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN).pdf
Fresh Content Needs More Attention - Multi-funnel Fresh Content Recommendation.pdf
GIFT - Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction.pdf
Handling User Cold Start Problem in Recommender Systems Using Fuzzy Clustering.pdf
Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder.pdf
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems?.pdf
LHRM - A LBS based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform.pdf
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks.pdf
Long-Tail Learning via Logit Adjustment.pdf
Long-tail Augmented Graph Contrastive Learning for Recommendation.pdf
MAMO - Memory-Augmented Meta-Optimization for Cold-start Recommendation.pdf
Neighbor Based Enhancement for the Long-Tail Ranking Problem in Video Rank Models.pdf
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning.pdf
SMINet - State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation.pdf
SimRec - Mitigating the Cold-Start Problem in Sequential Recommendation by Integrating Item Similarity.pdf
Task-adaptive Neural Process for User Cold-Start Recommendation.pdf
Telepath - Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems.pdf
Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation.pdf
Value of Exploration - Measurements, Findings and Algorithms.pdf
Warm Up Cold-start Advertisements - Improving CTR Predictions via Learning to Learn ID Embeddings.pdf
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions.pdf
[2017][DropoutNet] DropoutNet - Addressing Cold Start in Recommender Systems.pdf
[2017][HIN] Heterogeneous Information Network Embedding for Recommendation.pdf
[2017][MAML] Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks.pdf
[2019][Microsoft][CB2CF] CB2CF - A Neural Multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations.pdf
[2020][Wechat][ICAN] Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation.pdf
[2021][Kuaishou][POSO] POSO - Personalized Cold Start Modules for Large-scale Recommender Systems.pdf
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