Knowledge Science, Engineering and Management: 16th International Conference, KSEM 2023, Guangzhou, China, August 1618, 2023, Proceedings, Part III 1st ed. 2023 [Mīkstie vāki]

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 Learningfor 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 AspectSentiment Triplet Extraction.- The Minimal
Negated Model Semantics of Assumable Logic Programs.- MT-BICN: Multi-task
Balanced Information Cascade Network for Recommendation.