Applications

Incorporating Network Embedding into Markov Random Field for Better Community Detection AAAI 2019 Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning AAAI 2019 Inferring Substitutable Products with Deep Network Embedding IJCAI 2019 Interaction-Aware Factorization Machines for Recommender Systems AAAI 2019 Investigating the Variability of Voice Quality and Pain Levels as a Function of Multiple Clinical Parameters Interspeech 2019 ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation 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 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 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 Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction AAAI 2019 Learning Influence-Receptivity Network Structure with Guarantee AISTATS 2019 Learning Invariant Representations of Social Media Users EMNLP 2019 Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking IJCAI 2019 Learning Nonsymmetric Determinantal Point Processes NeurIPS 2019 Learning Representations for Time Series Clustering NeurIPS 2019