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Recommender Systems
313 directly classified papers
Papers per year
2002: 1
2007: 1
2008: 1
2010: 1
2011: 1
2012: 2
2013: 3
2014: 4
2016: 7
2017: 8
2018: 12
2019: 19
2020: 30
2021: 33
2022: 39
2023: 32
2024: 57
2025: 62
Papers
Representer Point Selection for Explaining Regularized High-dimensional Models
ICML 2023
A Sentiment and Emotion Annotated Dataset for Bitcoin Price Forecasting Based on Reddit Posts
EMNLP 2022
DialMed: A Dataset for Dialogue-based Medication Recommendation
COLING 2022
Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update
OSDI 2022
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models
IJCNLP 2022
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
AISTATS 2022
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation
AISTATS 2022
MovingFashion: A Benchmark for the Video-To-Shop Challenge
WACV 2022
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation
COLING 2022
What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review
NAACL 2022
Learning from a Learning User for Optimal Recommendations
ICML 2022
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces
ICML 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
IJCAI 2022
Multi-View Intent Disentangle Graph Networks for Bundle Recommendation
AAAI 2022
DiPS: Differentiable Policy for Sketching in Recommender Systems
AAAI 2022
SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation
AAAI 2022
Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation
EMNLP 2022
FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation
AAAI 2022
Meta-Learning for Online Update of Recommender Systems
AAAI 2022
Obtaining Calibrated Probabilities with Personalized Ranking Models
AAAI 2022
Cross-Task Knowledge Distillation in Multi-Task Recommendation
AAAI 2022
Modeling Attrition in Recommender Systems with Departing Bandits
AAAI 2022
Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce
AAAI 2022
Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites
AAAI 2022
Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract)
AAAI 2022
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