TY  - BOOK
AU  - Jin,Zhi
AU  - Jiang,Yuncheng
AU  - Buchmann,Robert Andrei
AU  - Bi,Yaxin
AU  - Ghiran,Ana-Maria
AU  - Ma,Wenjun
ED  - KSEM (Conference)
TI  - Knowledge science, engineering and management: 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings
T2  - Lecture notes in artificial intelligence
SN  - 9783031402890
AV  - QA76.76.E95 K77 2023eb
U1  - 006.3/31 23/eng/20230817
PY  - 2023///
CY  - Cham
PB  - Springer
KW  - Knowledge acquisition (Expert systems)
KW  - Congresses
KW  - Knowledge management
KW  - Decision making
KW  - Data processing
KW  - Problem solving
KW  - Information technology
KW  - Data mining
KW  - Artificial intelligence
KW  - Gestion des connaissances
KW  - Congrès
KW  - Prise de décision
KW  - Informatique
KW  - Technologie de l'information
KW  - Exploration de données (Informatique)
KW  - Intelligence artificielle
KW  - Ordinateurs
KW  - artificial intelligence
KW  - aat
KW  - computers
KW  - Application software
KW  - fast
KW  - Computer engineering
KW  - Computer networks
KW  - Computers
KW  - Management
KW  - Social sciences
KW  - proceedings (reports)
KW  - Conference papers and proceedings
KW  - lcgft
KW  - Actes de congrès
KW  - rvmgf
N1  - Includes author index; Knowledge Management Systems -- Explainable Multi-type Item Recommendation System based on Knowledge Graph -- A 2D Entity Pair Tagging Scheme for Relation Triplet Extraction -- MVARN: Multi-view attention relation network for figure question answering -- MAGNN-GC: Multi-Head Attentive Graph Neural Networks with Global Context for Session-based Recommendation -- Chinese Relation Extraction with Bi-directional Context-based Lattice LSTM -- MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification -- Multi-Display Graph Attention Network for Text Classification -- Debiased Contrastive Loss for Collaborative Filtering -- ParaSum: Contrastive Paraphrasing for Low-resource Extractive Text Summarization -- Degree-aware embedding and Interactive feature fusion-based Graph Convolution Collaborative Filtering -- Hypergraph Enhanced Contrastive Learning for News Recommendation -- Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs -- A Session Recommendation Model based on Heterogeneous Graph Neural Network -- Dialogue State Tracking with a Dialogue-aware Slot-Level Schema Graph Approach -- FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-based Android Malware Classification System -- Multi-level and Multi-interest User Interest Modeling for News Recommendation -- CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation -- A Graph Neural Network for Cross-Domain Recommendation Based on Transfer and Inter-Domain Contrastive Learning -- A Hypergraph Augmented and Information Supplementary Network for Session-based Recommendation -- Candidate-aware Attention Enhanced Graph Neural Network for News Recommendation -- Heavy Weighting for Potential Important Clauses -- Knowledge-Aware Two-Stream Decoding for Outline-Conditioned Chinese Story Generation -- Multi-Path based Self-Adaptive Cross-Lingual Summarization -- Temporal Repetition Counting Based on Multi-Stride Collaboration -- Multi-layer Attention Social Recommendation System based on Deep Reinforcement Learning -- SPOAHA: Spark program optimizer based on Artificial Hummingbird Algorithm -- TGKT-based Personalized Learning Path Recommendation with Reinforcement Learning -- Fusion High-Order information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection -- Multi-task learning based skin segmentation -- User Feedback-based Counterfactual Data Augmentation for Sequential Recommendation -- Citation Recommendation Based on Knowledge Graph and Multi-task Learning -- A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction -- The Minimal Negated Model Semantics of Assumable Logic Programs -- MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation
N2  - This volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16-18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management
UR  - https://link.springer.com/10.1007/978-3-031-40289-0
ER  -