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

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach AAAI 2025
Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling AAAI 2025
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation AAAI 2025
CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems AAAI 2025
Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract) AAAI 2025
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation EMNLP 2025
On Using Arabic Language Dialects in Recommendation Systems NAACL 2025
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems EMNLP 2025
AGRec: Adapting Autoregressive Decoders with Graph Reasoning for LLM-based Sequential Recommendation ACL 2025
SOLAR: Serendipity Optimized Language Model Aligned for Recommendation EMNLP 2025
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation EMNLP 2025
Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation AAAI 2025
Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate AAAI 2025
Answering Narrative-Driven Recommendation Queries via a Retrieve–Rank Paradigm and the OCG-Agent EMNLP 2025
Mind the Dialect: NLP Advancements Uncover Fairness Disparities for Arabic Users in Recommendation Systems EMNLP 2025
MUSE: A Multimodal Conversational Recommendation Dataset with Scenario-Grounded User Profiles ACL 2025
SVD-AE: Simple Autoencoders for Collaborative Filtering IJCAI 2024
End-to-end Learnable Clustering for Intent Learning in Recommendation NIPS 2024
Interpolating Item and User Fairness in Multi-Sided Recommendations NIPS 2024
Non-monotone Sequential Submodular Maximization AAAI 2024
RRL: Recommendation Reverse Learning AAAI 2024
Private Learning with Public Features AISTATS 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
Expert with clustering: Hierarchical online preference learning framework L4DC 2024