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Knowledge Science, Engineering and Management 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part III
Title
Knowledge Science, Engineering and Management [electronic resource] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part III / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma.
ISBN
9783031402890
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
1 online resource (XXIV, 438 p.) 120 illus., 115 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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. .
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
August 11, 2023
Series
Lecture Notes in Artificial Intelligence, 14119
Contents
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.
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