Knowledge Science, Engineering and Management: 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part II (Lecture Notes in Computer Science, 12816) 1st Edition by Han Qiu 9783030553937 3030553930

Knowledge Science, Engineering and Management: 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part II (Lecture Notes in Computer Science, 12816) 1st Edition Han Qiu – Ebook Instant Download/Delivery ISBN(s): 9783030821463, 3030821463. 9783030553937, 3030553930

Product details:

• ISBN 10: 3030553930
• ISBN 13: 9783030553937
• Author: Han Qiu

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.

Table contents:

MA-TREX: Mutli-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 Weight and Topic Change Info
Chinese Text Classification via Bidirectional Lattice LSTM
MG-BERT: A Multi-glosses BERT Model for Word Sense Disambiguation
Top Personalized Reviews Set Selection Based on Subject Aspect Modeling
SCX-SD: Semi-supervised Method for Contextual Sarcasm Detection
End-to-End Multi-task Learning for Allusion Detection in Ancient Chinese Poems
Defense of Word-Level Adversarial Attacks via Random Substitution Encoding
Document-Improved Hierarchical Modular Attention for Event Detection
Fine-Tuned Transformer Model for Sentiment Analysis
An Algorithm for Emotion Evaluation and Analysis Based on CBOW
Predicting Crowdsourcing Worker Performance with Knowledge Tracing
Deep Learning
Watermarking Neural Network with Compensation Mechanism
Information Diffusion Prediction with Personalized Graph Neural Networks
Relationship-Aware Hard Negative Generation in Deep Metric Learning
Striking a Balance in Unsupervised Fine-Grained Domain Adaptation Using Adversarial Learning
Improved Performance of GANs via Integrating Gradient Penalty with Spectral Normalization
Evidential Deep Neural Networks for Uncertain Data Classification
GDCRN: Global Diffusion Convolutional Residual Network for Traffic Flow Prediction
Depthwise Separable Convolutional Neural Network for Confidential Information Analysis
The Short-Term Exit Traffic Prediction of a Toll Station Based on LSTM
Long and Short Term Risk Control for Online Portfolio Selection

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