Data Science & Analytics

ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation IJCAI 2019 Joint Link Prediction and Network Alignment via Cross-graph Embedding IJCAI 2019 Jointly Multiple Hash Learning AAAI 2019 Joint Optimization of Tree-based Index and Deep Model for Recommender Systems NeurIPS 2019 Joint Representation Learning for Multi-Modal Transportation Recommendation AAAI 2019 Kernel Normalized Cut: a Theoretical Revisit ICML 2019 Kernels for Sequentially Ordered Data JMLR 2019 k-Means Clustering of Lines for Big Data NeurIPS 2019 Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing AAAI 2019 Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient AAAI 2019 Large Scale Personalized Categorization of Financial Transactions AAAI 2019 Latent distance estimation for random geometric graphs NeurIPS 2019 Learning-Based Frequency Estimation Algorithms ICLR 2019 Learning Binary Code for Personalized Fashion Recommendation CVPR 2019 Learning by Unsupervised Nonlinear Diffusion JMLR 2019 Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images CVPR 2019 Learning Disentangled Representations for Recommendation NeurIPS 2019 Learning Distance for Sequences by Learning a Ground Metric ICML 2019 Learning Hawkes Processes from a handful of events NeurIPS 2019 Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction AAAI 2019 Learning Influence-Receptivity Network Structure with Guarantee AISTATS 2019 Learning interpretable continuous-time models of latent stochastic dynamical systems ICML 2019 Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting IJCAI 2019 Learning Invariant Representations of Social Media Users EMNLP 2019 Learning Linear Dynamical Systems with Semi-Parametric Least Squares COLT 2019