recommender system

Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank AAAI 2021 eTREE: Learning Tree-structured Embeddings AAAI 2021 FedRec++: Lossless Federated Recommendation with Explicit Feedback AAAI 2021 Graph Heterogeneous Multi-Relational Recommendation AAAI 2021 Graph Learning based Recommender Systems: A Review IJCAI 2021 Incentivized Bandit Learning with Self-Reinforcing User Preferences ICML 2021 Intelligent Recommendations for Citizen Science AAAI 2021 Interacting with Explanations through Critiquing IJCAI 2021 Learnable Embedding sizes for Recommender Systems ICLR 2021 Learning to Recommend from Sparse Data via Generative User Feedback AAAI 2021 Leveraging Order-Free Tag Relations for Context-Aware Recommendation EMNLP 2021 Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract) AAAI 2021 Multi-output Gaussian Processes for uncertainty-aware recommender systems UAI 2021 Neural Utility Functions AAAI 2021 On Estimating Recommendation Evaluation Metrics under Sampling AAAI 2021 On Sampled Metrics for Item Recommendation (Extended Abstract) IJCAI 2021 Personalized Adaptive Meta Learning for Cold-start User Preference Prediction AAAI 2021 Personalized Outfit Recommendation With Learnable Anchors CVPR 2021 PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation AAAI 2021 Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract) AAAI 2021 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 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 Reinforcement Learning-based Product Delivery Frequency Control AAAI 2021