LEADER 06740nam 22008055 450 001 9910886098103321 005 20240828130259.0 010 $a9789819772353 010 $a9819772354 024 7 $a10.1007/978-981-97-7235-3 035 $a(MiAaPQ)EBC31622021 035 $a(Au-PeEL)EBL31622021 035 $a(CKB)34456078800041 035 $a(DE-He213)978-981-97-7235-3 035 $a(OCoLC)1455136802 035 $a(EXLCZ)9934456078800041 100 $a20240828d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWeb and Big Data $e8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 ? September 1, 2024, Proceedings, Part II /$fedited by Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (516 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14962 311 08$a9789819772346 311 08$a9819772346 327 $a -- 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. 330 $aThe five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30?September 1, 2024. The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions. The papers are organized in the following topical sections: Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System. Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data. Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization. Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security Part V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14962 606 $aBig data 606 $aData structures (Computer science) 606 $aInformation theory 606 $aApplication software 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aData mining 606 $aBig Data 606 $aData Structures and Information Theory 606 $aComputer and Information Systems Applications 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aData Mining and Knowledge Discovery 615 0$aBig data. 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 0$aApplication software. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aData mining. 615 14$aBig Data. 615 24$aData Structures and Information Theory. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aData Mining and Knowledge Discovery. 676 $a005.7 700 $aZhang$b Wenjie$01769181 701 $aTung$b Anthony$01769182 701 $aZheng$b Zhonglong$01769183 701 $aYang$b Zhengyi$01437866 701 $aWang$b Xiaoyang$01769184 701 $aGuo$b Hongjie$01769185 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910886098103321 996 $aWeb and Big Data$94236930 997 $aUNINA LEADER 00676nam0-2200229 --450 001 9910998594903321 005 20250507115641.0 100 $a20250507d1979----kmuy0itay5050 ba 101 0 $ager 102 $aHU 105 $a 001yy 200 1 $aPrivatrechtliche Denkweise der romischen Juristen$fElemer Polay 210 $aSzeged$c$d1979 215 $a143 p.$d24 cm 700 1$aPolay,$bElemer$0230647 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910998594903321 952 $aFONDO PROFESSOR ANTONIO GUARINO IV M 372$bG/2795$fFGBC 959 $aFGBC 996 $aPrivatrechtliche Denkweise der römischen Juristen$9897550 997 $aUNINA