Co-occurring keywords · papers mentioning both
Papers
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
AAAI 2024
On Overcoming Miscalibrated Conversational Priors in LLM-based ChatBots
UAI 2024
On Softmax Direct Preference Optimization for Recommendation
NeurIPS 2024
Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits?
COLT 2024
PepRec: Progressive Enhancement of Prompting for Recommendation
EMNLP 2024
PISDR: Page and Item Sequential Decision for Re-ranking Based on Offline Reinforcement Learning
ACML 2024
Plug-In Diffusion Model for Sequential Recommendation
AAAI 2024
Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation
AAAI 2024
Private Learning with Public Features
AISTATS 2024
RecMind: Large Language Model Powered Agent For Recommendation
NAACL 2024
Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization
AAAI 2024
RecomMind: Movie Recommendation Dialogue with Seeker’s Internal State
EMNLP 2024
Review-Enhanced Hierarchical Contrastive Learning for Recommendation
AAAI 2024
Robust Sparse Voting
AISTATS 2024
RRL: Recommendation Reverse Learning
AAAI 2024
Safe Collaborative Filtering
ICLR 2024
Sequential LLM Framework for Fashion Recommendation
EMNLP 2024
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
IJCAI 2024
Spectral-Based Graph Neural Networks for Complementary Item Recommendation
AAAI 2024
Stealthy Attack on Large Language Model based Recommendation
ACL 2024
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
AAAI 2024
“Tell me who you are and I tell you how you argue”: Predicting Stances and Arguments for Stakeholder Groups
NAACL 2024
Temporal Validity Change Prediction
ACL 2024
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
ACL 2024
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation
EMNLP 2024