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RecSyS
13건의 항목
2026년 6월 14일
Burst-induced Multi-Armed Bandit for Learning Recommendation
MAB
RecSyS
bandit
paper_review
2026년 6월 14일
Top-K Contextual Bandits with Equity of Exposure
RecSyS
bandit
contextual_bandit
paper_review
y2021
2026년 6월 14일
Causal Inference for Recommender Systems
RecSyS
bias
fairness
paper_review
recommendation_system
y2020
2026년 6월 14일
Mitigating Confounding Bias in Recommendation via Information Bottleneck
RecSyS
bias
fairness
paper_review
2026년 6월 14일
Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations
Google
RecSyS
bias
deep_learning
fairness
paper_review
recommendation_system
y2019
2026년 6월 14일
Factorization Meets the Item Embedding - Regularizing Matrix Factorization with Item Co-occurrence
RecSyS
collaborative_filtering
paper_review
recommendation_system
word2vec
y2016
2026년 6월 14일
HybridSVD - When Collaborative Information is Not Enough
paper_review
y2019
cold-start
RecSyS
collaborative_filtering
2026년 6월 14일
Leveraging Post-click Feedback for Content Recommendations
e-commerce
RecSyS
paper_review
recommendation_system
y2019
2026년 6월 14일
Towards Unified Metrics for Accuracy and Diversity for Recommender Systems
RecSyS
evaluation
paper_review
y2021
2026년 6월 14일
Unbiased Offline Recommender Evaluation for Missing-Not-At-Random Implicit Feedback
RecSyS
bias
evaluation
implicit_feedback
offline_evaluation
paper_review
y2018
2026년 6월 14일
Deep Neural Networks for YouTube Recommendations
RecSyS
Youtube
paper_review
recommendation_system
y2016
2026년 6월 14일
Fifty Shades of Ratings - How to Benefit from a Negative Feedback in Top-N Recommendations Tasks
RecSyS
cold-start
matrix_factorization
paper_review
recommendation_system
y2016
2026년 6월 14일
Negative Interactions for Improved Collaborative Filtering - Don't go Deeper, go Higher
RecSyS
paper_review
recommendation_system
y2021