Recommender Systems

Projection techniques to update the truncated SVD of evolving matrices with applications ICML 2021 Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability ICML 2021 RadarMath: An Intelligent Tutoring System for Math Education AAAI 2021 Rebounding Bandits for Modeling Satiation Effects NeurIPS 2021 Recent Advances in Heterogeneous Relation Learning for Recommendation IJCAI 2021 Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction EMNLP 2021 Refocusing on Relevance: Personalization in NLG EMNLP 2021 Reinforcement Learning-based Product Delivery Frequency Control AAAI 2021 Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation AAAI 2021 Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives ICML 2021 RevMan: Revenue-aware Multi-task Online Insurance Recommendation AAAI 2021 Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning AAAI 2021 Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation AAAI 2021 Semi-Discrete Social Recommendation (Student Abstract) AAAI 2021 Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract) AAAI 2021 Sparse Tensor Additive Regression JMLR 2021 Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks AAAI 2021 Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach ICML 2021 Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data AAAI 2021 Two-Sided Fairness in Non-Personalised Recommendations (Student Abstract) AAAI 2021 Two-sided fairness in rankings via Lorenz dominance NeurIPS 2021 U-BERT: Pre-training User Representations for Improved Recommendation AAAI 2021 Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021 Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering ACL 2021 User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation IJCAI 2021