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Recommender Systems
1012 directly classified papers
Papers per year
2006: 2
2007: 4
2008: 6
2009: 5
2010: 9
2011: 11
2012: 15
2013: 13
2014: 25
2015: 15
2016: 33
2017: 42
2018: 53
2019: 110
2020: 98
2021: 104
2022: 86
2023: 105
2024: 112
2025: 156
2026: 8
Papers
DIGAT: Modeling News Recommendation with Dual-Graph Interaction
EMNLP 2022
Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation
EMNLP 2022
Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities
AAAI 2022
Accelerating Learned Sparse Indexes Via Term Impact Decomposition
EMNLP 2022
Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce
EMNLP 2022
Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)
IJCAI 2022
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
EMNLP 2022
Argument Mining for Review Helpfulness Prediction
EMNLP 2022
Construction of Hierarchical Structured Knowledge-based Recommendation Dialogue Dataset and Dialogue System
ACL 2022
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems
AAAI 2022
Parameter-free Dynamic Graph Embedding for Link Prediction
NIPS 2022
Aligning Recommendation and Conversation via Dual Imitation
EMNLP 2022
Towards Resolving Propensity Contradiction in Offline Recommender Learning
IJCAI 2022
MTRec: Multi-Task Learning over BERT for News Recommendation
ACL 2022
What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review
NAACL 2022
GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative Filtering
NAACL 2022
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation
EMNLP 2022
Two-sided fairness in rankings via Lorenz dominance
NIPS 2021
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
NIPS 2021
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract)
AAAI 2021
A Gang of Adversarial Bandits
NIPS 2021
Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract)
AAAI 2021
FedRec++: Lossless Federated Recommendation with Explicit Feedback
AAAI 2021
On Component Interactions in Two-Stage Recommender Systems
NIPS 2021
Cross-Domain Recommendation: Challenges, Progress, and Prospects
IJCAI 2021
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