A Collaborative Transfer Learning Framework for Cross-domain Recommendation.pdf
A Deep Framework for Cross-Domain and Cross-System Recommendations.pdf
A Survey on Cross-domain Recommendation - Taxonomies, Methods, and Future Directions.pdf
A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce.pdf
ADL - Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction.pdf
APG - Adaptive Parameter Generation Network for Click-Through Rate Prediction.pdf
AdaSparse - Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction.pdf
Adaptive Conditional Expert Selection Network for Multi-domain Recommendation.pdf
Adaptive Domain Interest Network for Multi-domain Recommendation.pdf
BOMGraph - Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network.pdf
CDR-Adapter - Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models.pdf
CoNet - Collaborative Cross Networks for Cross-Domain Recommendation.pdf
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao.pdf
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation.pdf
Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks.pdf
Cross domain recommendation based on multi-type media fusion.pdf
Cross-Domain Recommendation - An Embedding and Mapping Approach.pdf
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck.pdf
Cross-Domain Recommendation- Challenges, Progress, and Prospects.pdf
Cross-Domain Sequential Recommendation via Neural Process.pdf
Cross-domain Augmentation Networks for Click-Through Rate Prediction.pdf
Cross-domain Recommendation Without Sharing User-relevant Data.pdf
Cross-domain recommendation via user interest alignment.pdf
DDTCDR - Deep Dual Transfer Cross Domain Recommendation.pdf
DIIT - A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation.pdf
DTCDR - A Framework for Dual-Target Cross-Domain Recommendation.pdf
DeepAPF - Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation.pdf
DisenCDR - Learning Disentangled Representations for Cross-Domain Recommendation.pdf
Dynamic collaborative filtering Thompson Sampling for cross-domain advertisements recommendation.pdf
EXIT - An EXplicit Interest Transfer Framework for Cross-Domain Recommendation.pdf
HAMUR - Hyper Adapter for Multi-Domain Recommendation.pdf
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks.pdf
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking.pdf
Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space.pdf
IncMSR - An Incremental Learning Approach for Multi-Scenario Recommendation.pdf
KEEP - An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging.pdf
Leaving No One Behind - A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling.pdf
M-scan - A Multi-Scenario Causal-driven Adaptive Network for Recommendation.pdf
M3oE - Multi-Domain Multi-Task Mixture-of-Experts Recommendation Framework.pdf
MLoRA - Multi-Domain Low-Rank Adaptive Network for Click-Through Rate Prediction.pdf
Mixed Attention Network for Cross-domain Sequential Recommendation.pdf
Moment&Cross - Next-Generation Real-Time Cross-Domain CTR Prediction for Live-Streaming Recommendation at Kuaishou.pdf
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services.pdf
Multi-Scenario Ranking with Adaptive Feature Learning.pdf
Personalized Transfer of User Preferences for Cross-domain Recommendation.pdf
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions.pdf
SAMD - An Industrial Framework for Heterogeneous Multi-Scenario Recommendation.pdf
SAR-Net - A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios.pdf
Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction.pdf
Scenario-Adaptive Fine-Grained Personalization Network- Tailoring User Behavior Representation to the Scenario Context.pdf
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation.pdf
Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation.pdf
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce.pdf
Self-Supervised Learning on Users’ Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce.pdf
Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users.pdf
[2020][JD][DADNN] DADNN - Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network.pdf
[2021][Alibaba][STAR] One Model to Serve All - Star Topology Adaptive Recommenderfor Multi-Domain CTR Prediction.pdf
[2021][Baidu] Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising.pdf
[2022][AntGroup][AESM2] Automatic Expert Selection for Multi-Scenario and Multi-Task Search.pdf
[2023][Kuaishou][PEPNet] PEPNet - Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information.pdf
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