Co-occurring keywords · papers mentioning both
Papers
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation
AAAI 2024
CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information
EACL 2024
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
NeurIPS 2024
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models
EMNLP 2024
DFRP: A Dual-Track Feedback Recommendation System for Educational Resources
IJCAI 2024
Distributional Off-Policy Evaluation for Slate Recommendations
AAAI 2024
Efficient Interactive Maximization of BP and Weakly Submodular Objectives
UAI 2024
End-to-end Learnable Clustering for Intent Learning in Recommendation
NeurIPS 2024
Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues
EMNLP 2024
Expert with clustering: Hierarchical online preference learning framework
L4DC 2024
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
JMLR 2024
Federated Adaptation for Foundation Model-based Recommendations
IJCAI 2024
Federated Recommendation with Additive Personalization
ICLR 2024
Gaussian Process Bandits for Top-k Recommendations
NeurIPS 2024
Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction
AAAI 2024
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
NeurIPS 2024
Hierarchical Reinforcement Learning for Point of Interest Recommendation
IJCAI 2024
Identify Then Recommend: Towards Unsupervised Group Recommendation
NeurIPS 2024
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
ICLR 2024
Interpolating Item and User Fairness in Multi-Sided Recommendations
NeurIPS 2024
Jump Starting Bandits with LLM-Generated Prior Knowledge
EMNLP 2024
Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle
IJCAI 2024
Learning Fair Representations for Recommendation via Information Bottleneck Principle
IJCAI 2024
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
AAAI 2024
Methods, Applications, and Directions of Learning-to-Rank in NLP Research
NAACL 2024