000 07289nam a22006735i 4500
001 978-981-97-7235-3
003 DE-He213
005 20251030112917.0
007 cr nn 008mamaa
008 240828s2024 si | s |||| 0|eng d
020 _a9789819772353
_9978-981-97-7235-3
024 7 _a10.1007/978-981-97-7235-3
_2doi
050 4 _aQA76.9.B45
072 7 _aUN
_2bicssc
072 7 _aCOM021000
_2bisacsh
072 7 _aUN
_2thema
245 1 0 _aWeb and Big Data
_h[electronic resource] :
_b8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part II /
_cedited by Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVIII, 500 p. 162 illus., 139 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14962
505 0 _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.
520 _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.
650 0 _aBig data.
_957216
650 0 _aData structures (Computer science).
_966708
650 0 _aInformation theory.
_957783
650 0 _aApplication software.
650 0 _aImage processing
_xDigital techniques.
_964228
650 0 _aComputer vision.
650 0 _aData mining.
_96941
650 1 4 _aBig Data.
_957216
650 2 4 _aData Structures and Information Theory.
_966709
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_965550
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aZhang, Wenjie.
_eeditor.
_0(orcid)0000-0001-6572-2600
_1https://orcid.org/0000-0001-6572-2600
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_983083
700 1 _aTung, Anthony.
_eeditor.
_0(orcid)0000-0002-5125-855X
_1https://orcid.org/0000-0002-5125-855X
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_983084
700 1 _aZheng, Zhonglong.
_eeditor.
_0(orcid)0000-0002-5271-9215
_1https://orcid.org/0000-0002-5271-9215
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_983085
700 1 _aYang, Zhengyi.
_eeditor.
_0(orcid)0000-0003-1772-6863
_1https://orcid.org/0000-0003-1772-6863
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_967040
700 1 _aWang, Xiaoyang.
_eeditor.
_0(orcid)0000-0003-3554-3219
_1https://orcid.org/0000-0003-3554-3219
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_983086
700 1 _aGuo, Hongjie.
_eeditor.
_0(orcid)0009-0004-8366-6998
_1https://orcid.org/0009-0004-8366-6998
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_983087
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819772346
776 0 8 _iPrinted edition:
_z9789819772360
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14962
856 4 0 _uhttps://doi.org/10.1007/978-981-97-7235-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
999 _c62817
_d62817