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

Everyone’s Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval ICML 2023
Dual Personalization on Federated Recommendation IJCAI 2023
MLFMF: Data Sets for Machine Learning for Mathematical Formalization NIPS 2023
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation ACML 2023
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach NIPS 2023
REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation AAAI 2023
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction AAAI 2023
Multiple Robust Learning for Recommendation AAAI 2023
UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition NIPS 2023
SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation AAAI 2022
Harmless Transfer Learning for Item Embeddings NAACL 2022
Batched Dueling Bandits ICML 2022
AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society IJCAI 2022
Low-Pass Graph Convolutional Network for Recommendation AAAI 2022
Norm-Agnostic Linear Bandits AISTATS 2022
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts IJCAI 2022
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm NIPS 2022
A Spectral Approach to Item Response Theory NIPS 2022
Obtaining Calibrated Probabilities with Personalized Ranking Models AAAI 2022
Learning from a Learning User for Optimal Recommendations ICML 2022
Linear Bandit Algorithms with Sublinear Time Complexity ICML 2022
Multi-slots Online Matching with High Entropy ICML 2022
Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation EMNLP 2022
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings COLING 2022
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model NIPS 2022