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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
Deep Ranking for Style-Aware Room Recommendations (Student Abstract)
AAAI 2020
ViBE: Dressing for Diverse Body Shapes
CVPR 2020
Dynamic Online Conversation Recommendation
ACL 2020
Graph Neural News Recommendation with Unsupervised Preference Disentanglement
ACL 2020
Deep Learning-based Online Alternative Product Recommendations at Scale
ACL 2020
Fashion Outfit Complementary Item Retrieval
CVPR 2020
Selection and Generation: Learning towards Multi-Product Advertisement Post Generation
EMNLP 2020
Matrix Completion with Hierarchical Graph Side Information
NIPS 2020
Adversarial Counterfactual Learning and Evaluation for Recommender System
NIPS 2020
Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms
IJCAI 2020
Optimal Complex Task Assignment in Service Crowdsourcing
IJCAI 2020
Memory Augmented Neural Model for Incremental Session-based Recommendation
IJCAI 2020
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability
IJCAI 2020
“What is on your mind?” Automated Scoring of Mindreading in Childhood and Early Adolescence
COLING 2020
E-Commerce Content and Collaborative-based Recommendation using K-Nearest Neighbors and Enriched Weighted Vectors
COLING 2020
Towards Topic-Guided Conversational Recommender System
COLING 2020
An Open Source Implementation of ITU-T Recommendation P.808 with Validation
INTERSPEECH 2020
COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities
EMNLP 2020
CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching
NIPS 2020
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
NIPS 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
IJCAI 2019
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking
IJCAI 2019
Discrete Trust-aware Matrix Factorization for Fast Recommendation
IJCAI 2019
Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation
IJCAI 2019
Action Space Learning for Heterogeneous User Behavior Prediction
IJCAI 2019
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