Co-occurring keywords · papers mentioning both
Papers
Transforming Recommender Systems: Balancing Personalization, Fairness, and Human Values
IJCAI 2024
Transparent and Scrutable Recommendations Using Natural Language User Profiles
ACL 2024
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
NeurIPS 2024
UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution
AAAI 2024
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms
NeurIPS 2024
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
EACL 2024
User-Creator Feature Polarization in Recommender Systems with Dual Influence
NeurIPS 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
AAAI 2024
XRec: Large Language Models for Explainable Recommendation
EMNLP 2024
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations
NeurIPS 2023
A Survey on User Behavior Modeling in Recommender Systems
IJCAI 2023
Blending Advertising with Organic Content in E-commerce via Virtual Bids
AAAI 2023
Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments
NeurIPS 2023
Causal Matrix Completion
COLT 2023
Cookie Consent Has Disparate Impact on Estimation Accuracy
NeurIPS 2023
Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation
IJCAI 2023
Disentangled CVAEs with Contrastive Learning for Explainable Recommendation
AAAI 2023
Embedding Mental Health Discourse for Community Recommendation
ACL 2023
Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items
AAAI 2023
Estimating Propensity for Causality-based Recommendation without Exposure Data
NeurIPS 2023
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
NeurIPS 2023
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
NeurIPS 2023
Fair Representation Learning for Recommendation: A Mutual Information Perspective
AAAI 2023
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract)
AAAI 2023
Feature Staleness Aware Incremental Learning for CTR Prediction
IJCAI 2023