conftrace_

recommendation system

294 papers

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Also known as

RECSYS RS

Co-occurring keywords

recommender system (534) large language model (13587) collaborative filtering (300) regret bound (1926) representation learning (6206) online learning (1777) multi-armed bandit (1098) contextual bandit (381) matrix factorization (529) user preference (114)

Papers

SVD-AE: Simple Autoencoders for Collaborative Filtering IJCAI 2024
Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract) AAAI 2024
PepRec: Progressive Enhancement of Prompting for Recommendation EMNLP 2024
Multi-Stage Prompting for Next Best Agent Recommendations in Adaptive Workflows AAAI 2024
Model-Free Preference Elicitation IJCAI 2024
Adaptive Hardness Negative Sampling for Collaborative Filtering AAAI 2024
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs AAAI 2024
CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information EACL 2024
Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? COLT 2024
Jump Starting Bandits with LLM-Generated Prior Knowledge EMNLP 2024
Expert with clustering: Hierarchical online preference learning framework L4DC 2024
Aligning Large Language Models with Recommendation Knowledge NAACL 2024
Methods, Applications, and Directions of Learning-to-Rank in NLP Research NAACL 2024
Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle IJCAI 2024
RDRec: Rationale Distillation for LLM-based Recommendation ACL 2024
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation ACL 2024
End-to-end Learnable Clustering for Intent Learning in Recommendation NIPS 2024
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution NIPS 2024
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset ACL 2024
Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction AAAI 2024
Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms NIPS 2024
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation AAAI 2024
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models EMNLP 2024