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Web and big data8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024 : proceedings.Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Web and big dataedited by Wenjie Zhang ...[et al.].
Reminder of title:	8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024 : proceedings.
remainder title:	APWeb-WAIM 2024
other author:	Zhang, Wenjie.
corporate name:
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xviii, 500 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	World Wide WebCongresses.Technological innovations
Online resource:	https://doi.org/10.1007/978-981-97-7235-3
ISBN:	9789819772353$q(electronic bk.)

Web and big data8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024 : proceedings.Part II /
Web and big data8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024 : proceedings.Part II /[electronic resource] :APWeb-WAIM 2024edited by Wenjie Zhang ...[et al.]. - Singapore :Springer Nature Singapore :2024. - xviii, 500 p. :ill., digital ;24 cm. - Lecture notes in computer science,149620302-9743 ;. - Lecture notes in computer science ;4891..

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.

ISBN: 9789819772353$q(electronic bk.)

Standard No.: 10.1007/978-981-97-7235-3doiSubjects--Topical Terms:

450627
World Wide Web
--Technological innovations--Congresses.

LC Class. No.: TK5105.888 / .A69 2024

Dewey Class. No.: 004.678

Web and big data8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024 : proceedings.Part II /
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