Web and Big Data [electronic resource] : 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part II / edited by Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo.

Colaborador(es): Zhang, Wenjie [editor.] | Tung, Anthony [editor.] | Zheng, Zhonglong [editor.] | Yang, Zhengyi [editor.] | Wang, Xiaoyang [editor.] | Guo, Hongjie [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 14962Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XVIII, 500 p. 162 illus., 139 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819772353Tema(s): Big data | Data structures (Computer science) | Information theory | Application software | Image processing -- Digital techniques | Computer vision | Data mining | Big Data | Data Structures and Information Theory | Computer and Information Systems Applications | Computer Imaging, Vision, Pattern Recognition and Graphics | Data Mining and Knowledge DiscoveryFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 005.7 Clasificación LoC:QA76.9.B45Recursos en línea: Libro electrónicoTexto
Contenidos:
-- Recommender System. -- Hierarchical Review-based Recommendation with Contrastive Collaboration. -- Adaptive Augmentation and Neighbor Contrastive Learning for Multi-Behavior Recommendation. -- Automated Modeling of Influence Diversity with Graph Convolutional Network for Social Recommendation. -- Contrastive Generator Generative Adversarial Networks for Sequential Recommendation. -- Distribution-aware Diversification for Personalized Re-ranking in Recommendation. -- KMIC: A Knowledge-aware Recommendation with Multivariate Intentions Contrastive Learning. -- Logic Preference Fusion Reasoning on Recommendation. -- MHGNN: Hybrid Graph Neural Network with Mixers for Multi-interest Session-aware Recommendation. -- Mixed Augmentation Contrastive Learning for Graph Recommendation System. -- Noise-Resistant Graph Neural Networks for Session-based Recommendation. -- S2DNMF: A Self-supervised Deep Nonnegative Matrix Factorization Recommendation Model Incorporating Deep Latent Features of Network Structure. -- Self-Filtering Residual Attention Network based on Multipair Information Fusion for Session-Based Recommendations. -- TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. -- VM-Rec: A Variational Mapping Approach for Cold-start User Recommendation. -- Knowledge Graph. -- Matching Tabular Data to Knowledge Graph based on Multi-level Scoring Filters for Table Entity Disambiguation. -- Complex Knowledge Base Question Answering via Structure and Content Dual-driven Method. -- EvoREG: Evolutional Modeling with Relation-Entity Dual-Guidance for Temporal Knowledge Graph Reasoning. -- Federated Knowledge Graph Embedding Unlearning via Diffusion Model. -- Functional Knowledge Graph Towards Knowledge Application and Data Management for General Users. -- Hospital Outpatient Guidance System Based On Knowledge Graph. -- TOP: Taxi Destination Prediction Based on Trajectory Knowledge Graph. -- Type-based Neighborhood Aggregation for Knowledge Graph Alignment. -- An Aggregation Procedure Enhanced Mechanism for GCN-based Knowledge Graph Completion Model by Leveraging Condensed Sampling and Attention Optimization. -- Spatial and Temporal Data. -- Capturing Fine and Coarse Grained User Preferences with Dual-Transformer for Next POI Recommendation. -- Enhancing Spatio-Temporal Semantics with Contrastive Learning for Next POI Recommendation. -- Distinguish the Indistinguishable: Spatial Personalized Transformer for Traffic Flow Forecast. -- Meeting Pattern Detection from Trajectories in Road Network. -- Speed Prediction of Multiple Traffic Scenarios with Local Fluctuation. -- ST-TPFL: Towards Spatio-Temporal Traffic Flow Prediction Based on Topology Protected Federated Learning. -- A Context-aware Distance Analysis Approach for Time Series. -- Dual-view Stack State Learning Network for Attribute-based Container Location Assignment. -- Efficient Coverage Query over Transition Trajectories.
En: Springer Nature eBookResumen: The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30-September 1, 2024. The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions. The papers are organized in the following topical sections: Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System. Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data. Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization. Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security Part V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.
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-- Recommender System. -- Hierarchical Review-based Recommendation with Contrastive Collaboration. -- Adaptive Augmentation and Neighbor Contrastive Learning for Multi-Behavior Recommendation. -- Automated Modeling of Influence Diversity with Graph Convolutional Network for Social Recommendation. -- Contrastive Generator Generative Adversarial Networks for Sequential Recommendation. -- Distribution-aware Diversification for Personalized Re-ranking in Recommendation. -- KMIC: A Knowledge-aware Recommendation with Multivariate Intentions Contrastive Learning. -- Logic Preference Fusion Reasoning on Recommendation. -- MHGNN: Hybrid Graph Neural Network with Mixers for Multi-interest Session-aware Recommendation. -- Mixed Augmentation Contrastive Learning for Graph Recommendation System. -- Noise-Resistant Graph Neural Networks for Session-based Recommendation. -- S2DNMF: A Self-supervised Deep Nonnegative Matrix Factorization Recommendation Model Incorporating Deep Latent Features of Network Structure. -- Self-Filtering Residual Attention Network based on Multipair Information Fusion for Session-Based Recommendations. -- TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. -- VM-Rec: A Variational Mapping Approach for Cold-start User Recommendation. -- Knowledge Graph. -- Matching Tabular Data to Knowledge Graph based on Multi-level Scoring Filters for Table Entity Disambiguation. -- Complex Knowledge Base Question Answering via Structure and Content Dual-driven Method. -- EvoREG: Evolutional Modeling with Relation-Entity Dual-Guidance for Temporal Knowledge Graph Reasoning. -- Federated Knowledge Graph Embedding Unlearning via Diffusion Model. -- Functional Knowledge Graph Towards Knowledge Application and Data Management for General Users. -- Hospital Outpatient Guidance System Based On Knowledge Graph. -- TOP: Taxi Destination Prediction Based on Trajectory Knowledge Graph. -- Type-based Neighborhood Aggregation for Knowledge Graph Alignment. -- An Aggregation Procedure Enhanced Mechanism for GCN-based Knowledge Graph Completion Model by Leveraging Condensed Sampling and Attention Optimization. -- Spatial and Temporal Data. -- Capturing Fine and Coarse Grained User Preferences with Dual-Transformer for Next POI Recommendation. -- Enhancing Spatio-Temporal Semantics with Contrastive Learning for Next POI Recommendation. -- Distinguish the Indistinguishable: Spatial Personalized Transformer for Traffic Flow Forecast. -- Meeting Pattern Detection from Trajectories in Road Network. -- Speed Prediction of Multiple Traffic Scenarios with Local Fluctuation. -- ST-TPFL: Towards Spatio-Temporal Traffic Flow Prediction Based on Topology Protected Federated Learning. -- A Context-aware Distance Analysis Approach for Time Series. -- Dual-view Stack State Learning Network for Attribute-based Container Location Assignment. -- Efficient Coverage Query over Transition Trajectories.

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30-September 1, 2024. The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions. The papers are organized in the following topical sections: Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System. Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data. Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization. Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security Part V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.

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