Computer Supported Cooperative Work and Social Computing

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

AvYuqing Sun,Tun Lu

Häftad, Engelska, 2022

Del i serien Communications in Computer and Information Science

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Beskrivning

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

Utgivningsdatum:2022-07-23
Mått:155 x 235 x 30 mm
Vikt:826 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:528
Förlag:Springer Verlag, Singapore
ISBN:9789811945489

Utforska kategorier

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

Innehållsförteckning

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.