| Towards the D-Optimal Online Experiment Design for Recommender Selection | 0 | 0.34 | 2021 |
| A Temporal Kernel Approach for Deep Learning with Continuous-time Information | 0 | 0.34 | 2021 |
| Event-based Product Carousel Recommendation with Query-Click Graph. | 0 | 0.34 | 2021 |
| NEAT - A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. | 0 | 0.34 | 2021 |
| Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network | 0 | 0.34 | 2021 |
| Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives | 0 | 0.34 | 2021 |
| Generating Rich Product Descriptions for Conversational E-commerce Systems | 0 | 0.34 | 2021 |
| PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network | 4 | 0.55 | 2021 |
| A Temporal Kernel Approach for Deep Learning with Continuous-time Information. | 0 | 0.34 | 2021 |
| Theoretical Understandings of Product Embedding for E-commerce Machine Learning | 0 | 0.34 | 2021 |
| Data Poisoning Attacks against Differentially Private Recommender Systems | 1 | 0.35 | 2020 |
| Basket Recommendation with Multi-Intent Translation Graph Neural Network | 2 | 0.38 | 2020 |
| Inductive representation learning on temporal graphs. | 0 | 0.34 | 2020 |
| Personalizing Item Recommendation via Price Understanding. | 0 | 0.34 | 2020 |
| Knowledge-aware Complementary Product Representation Learning. | 1 | 0.35 | 2020 |
| Inductive representation learning on temporal graphs | 1 | 0.35 | 2020 |
| Adversarial Counterfactual Learning And Evaluation For Recommender System | 0 | 0.34 | 2020 |
| Product Knowledge Graph Embedding for E-commerce. | 5 | 0.38 | 2020 |
| Generative Graph Convolutional Network For Growing Graphs | 0 | 0.34 | 2019 |
| Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System In Online Groceries | 0 | 0.34 | 2019 |
| Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation | 0 | 0.34 | 2019 |
| Self-attention with Functional Time Representation Learning | 0 | 0.34 | 2019 |
| Robust Counterfactual Inferences using Feature Learning and their Applications. | 0 | 0.34 | 2018 |
| A Factorized Variational Technique for Phase Unwrapping in Markov Random Field | 1 | 0.43 | 2013 |
| Using the wisdom of the crowds for keyword generation | 91 | 4.23 | 2008 |
| Continuously-adaptive discretization for message-passing algorithms | 11 | 0.95 | 2008 |
| Spamming botnets: signatures and characteristics | 184 | 9.68 | 2008 |
| How dynamic are IP addresses? | 95 | 7.14 | 2007 |
| A segment based probabilistic generative model of speech. | 5 | 0.71 | 2005 |
| Variational Speech Separation of More Sources than Mixtures. | 0 | 0.34 | 2005 |
| Learning to cluster using local neighborhood structure | 2 | 0.38 | 2004 |
| Unsupervised image translation | 13 | 1.88 | 2003 |
| Probabilistic Inference of Speech Signals from Phaseless Spectrograms | 9 | 1.00 | 2003 |
| Phase unwrapping by minimizing Kikuchi free energy | 0 | 0.34 | 2002 |
| Unwrapping phases by relaxed mean field inference | 0 | 0.34 | 2001 |
