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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
Knowledge-Aware Explainable Reciprocal Recommendation
AAAI 2024
Learning Dynamic Multi-attribute Interest for Personalized Product Search
EMNLP 2024
VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation
AAAI 2024
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
AAAI 2024
Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning
AAAI 2024
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
AAAI 2024
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
AAAI 2024
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
AAAI 2024
LGMRec: Local and Global Graph Learning for Multimodal Recommendation
AAAI 2024
Your Career Path Matters in Person-Job Fit
AAAI 2024
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
AAAI 2024
Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation
AAAI 2024
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval
EMNLP 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
AAAI 2024
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation
AAAI 2024
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy
AAAI 2024
Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract)
AAAI 2024
Faithful Trip Recommender Using Diffusion Guidance (Student Abstract)
AAAI 2024
Gaussian Process Bandits for Top-k Recommendations
NIPS 2024
Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation
AAAI 2024
Transforming Recommender Systems: Balancing Personalization, Fairness, and Human Values
IJCAI 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
AAAI 2024
Distributional Off-Policy Evaluation for Slate Recommendations
AAAI 2024
MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract)
AAAI 2024
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
NIPS 2024
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