This two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.*
The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning.
*The conference was held virtually due to the COVID-19 pandemic.
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-TemporalÓ.