Del i serien Communications in Computer and Information Science

Computer Supported Cooperative Work and Social Computing

16th CCF Conference, ChineseCSCW 2021, Xiangtan, China, November 26–28, 2021, Revised Selected Papers, Part II

Häftad, Engelska, 2022

AvYuqing Sun,Tun Lu,Buqing Cao,Hongfei Fan,Dongning Liu,Bowen Du,Liping Gao

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The two-volume set CCIS 1491 and 1492 constitutes the refereed post-conferenceproceedings of the 16th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2021, held in Xiangtan, China, November 26–28, 2021.

Produktinformation

Utgivningsdatum2022-07-23
Mått155 x 235 x 30 mm
Vikt826 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor528
FörlagSpringer Verlag, Singapore
ISBN9789811945489

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Tillämpad datateknik inom Data och IT
Informationsteknik: allmänt inom Data och IT
Systemvetenskap och AI inom Data och IT
Hårdvara inom Data och IT

Crowd Intelligence and Crowd Cooperative Computing.- Locally Linear Embedding Discriminant Feature Learning Model.- Cache Optimization based on Linear Regression and DAG Task Graph.- A University Portrait System Incorporating Academic Social Network.- Multi-objective Optimization Of Ticket Assignment Problem In Large Data Centers.- Joint Embedding Multiple Feature and Rule for Paper Recommendation.- Predicting Drug-Target Interactions Binding Affinity by Using Dual Updating Multi-Task Learning.- GRE: A GAT-based Relation Embedding Model of Knowledge Graph for Recommendation.- Locating Hidden Sources in Evolutionary Games Based on Fuzzy Cognitive Map.- Deep bug triage model based on multi-head self-attention mechanism.- Taxi Pick-up Area Recommendation via Integrating Spatio-temporal Contexts into XDeepFM.- Learning When to Communicate among Actors with Centralized Critic for Multi-agent System.- Social Media and Online Communities.- Academic text classification algorithm based on pre-trained model and keyword extraction.- ResConvE: Deeper Convolution-based Knowledge Graph Embeddings.- Extractive-Abstractive: A Two-Stage Model for Long Text Summarization.- A Random-walk-based Heterogeneous Attention Network for Community Detection.- Attributed Network Embedding based on Attributed-subgraph-based Random Walk for Community Detection.- Adaptive Seed Expansion Based on Composite Similarity for Community Detection in Attributed Networks.- MDN: Meta-transfer Learning Method for Fake News Detection.- Local Community Detection Algorithm Based on Core Area Expansion.- Federated Clique Percolation for Overlapping Community Detection on Attributed Networks.- A new academic conference information management system based on social network.- A Full Information Enhanced Question Answering System Based on Hierarchical Heterogeneous Crowd Intelligence Knowledge Graph.- Exploring the Content Sharing Practice across Social Network Sites.- An Improved Label Propagation Algorithm for Community Detection Fusing Temporal Attributes.- Understanding Scholar Social Networks: Taking SCHOLAT as An Example.- SCHOLAT Link Prediction: A Link Prediction Dataset Fusing Topology and Attribute Information.- A Graph Neural Network-based Approach for Predicting Second Rise of Information Diffusion on Social Networks.- HPEMed: Heterogeneous Network Pair Embedding for Medical Diagnosis.- MR-LGC: A Mobile Application Recommendation Based on Light Graph Convolution Networks.- Neural Matrix Decomposition Model Based on Scholars’ Influence.- DOCEM: A Domain-embedding-based Open-source Community Event Monitoring Model.- Diversified Concept Attention Method for Knowledge Tracing.- Self-auxiliary Hashing for Unsupervised Cross Modality Retrieval.- RCBERT An Approach with transfer learning for App reviews classification.- The Impact of COVID-19 on Online Games: Machine Learning and Difference-In-Difference.- Uncertain Graph Publishing of Social Networks for Objective Weighting of Nodes.- Federated Multi-label Propagation Based on Neighbor Node Influence for Community Detection on Attributed Networks.- AcaVis: A Visual Analytics Framework for Exploring Evolution of Dynamic Academic Networks.- Dynamic Information Diffiusion Model Based on Weighted Information Entropy.