Co-occurring keywords · papers mentioning both
Papers
Enhancing Explainable Rating Prediction through Annotated Macro Concepts
ACL 2024
Enhancing High-order Interaction Awareness in LLM-based Recommender Model
EMNLP 2024
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
AAAI 2024
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
AAAI 2024
Federated Adaptation for Foundation Model-based Recommendations
IJCAI 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
AAAI 2024
Gaussian Process Bandits for Top-k Recommendations
NeurIPS 2024
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure
NeurIPS 2024
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers
ACL 2024
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
NeurIPS 2024
Graph Feedback Bandits with Similar Arms
UAI 2024
How Does Message Passing Improve Collaborative Filtering?
NeurIPS 2024
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation
ACL 2024
Hypergraph-Based Session Modeling: A Multi-Collaborative Self-Supervised Approach for Enhanced Recommender Systems
COLING 2024
I-AM-G: Interest Augmented Multimodal Generator for Item Personalization
EMNLP 2024
Influential Exemplar Replay for Incremental Learning in Recommender Systems
AAAI 2024
Interpolating Item and User Fairness in Multi-Sided Recommendations
NeurIPS 2024
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
AAAI 2024
Knowledge-Aware Explainable Reciprocal Recommendation
AAAI 2024
Knowledge-Powered Recommendation for an Improved Diet Water Footprint
AAAI 2024
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
COLING 2024
Learning Dynamic Multi-attribute Interest for Personalized Product Search
EMNLP 2024
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation
AAAI 2024
Make Large Language Model a Better Ranker
EMNLP 2024
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation
EMNLP 2024