Knowledge Science, Engineering and Management

Machine Learning.- MA-TREX: Multi-agent Trajectory-ranked Reward Extrapolation via Inverse Reinforcement Learning.- An Incremental Learning Network Model based on Random Sample Distribution Fitting.- Parameter Optimization and Weights Assessment for Evidential Artificial Immune Recognition System.- Improving Policy Generalization for Teacher-Student Reinforcement Learning.- Recommendation Algorithms and Systems.- Towards effective top-k location recommendation for business facility placement.- Pairwise-based Hierarchical Gating Networks for Sequential Recommendation.- Time-aware Attentive Neural Network for News Recommendation with Long- and Short-Term User Representation.- A Time Interval Aware Approach for Session-based Social Recommendation.- AutoIDL: Automated Imbalanced Data Learning via Collaborative Filtering.- Fusion of Domain Knowledge and Text Features for Query Expansion in Citation Recommendation.- Robust Sequence Embedding for Recommendation.- Deep Generative Recommendation with Maximizing Reciprocal Rank.- Spatio-Temporal Attentive Network for Session-based Recommendation.- Social Knowledge Analysis and Management.- Category-level Adversarial Network for Cross-Domain Sentiment Classification.- Seeds Selection for Influence Maximization Based on Device-to-Device Social Knowledge by Reinforcement Learning.- CIFEF: Combining implicit and explicit features for friendship inference in location-based social networks.- A Knowledge Enhanced Ensemble Learning Model for Mental Disorder Detection on Social Media.- Constrained Viral Marketing in Social Networks.- A Multi-source Self-adaptive Transfer Learning Model for Mining Social Links.- Text Mining and Document Analysis.- Multi-hop Syntactic Graph Convolutional Networks for Aspect-based Sentiment Classification.- A Matching-Integration-Verification Model for Multiple-Choice Reading Comprehension.- How to interact and change? Abstractive Dialogue Summarization with Dialogue Act