Vor Ort
Merkzettel Warenkorb
  • Produktbild: Web Information Systems Engineering – WISE 2024
  • Produktbild: Web Information Systems Engineering – WISE 2024
Band 15438 - 10%

Web Information Systems Engineering – WISE 2024 25th International Conference, Doha, Qatar, December 2–5, 2024, Proceedings, Part III

Aus der Reihe Lecture Notes in Computer Science
10% sparen

76,99 € UVP 85,59 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.11.2024

Abbildungen

XXII, 458 p. 138 illus., 119 illus. in color.

Herausgeber

Mahmoud Barhamgi + weitere

Verlag

Springer Singapore

Seitenzahl

458

Maße (L/B/H)

23,5/15,5/2,6 cm

Gewicht

721 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9605-69-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.11.2024

Abbildungen

XXII, 458 p. 138 illus., 119 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

458

Maße (L/B/H)

23,5/15,5/2,6 cm

Gewicht

721 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9605-69-9

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Web Information Systems Engineering – WISE 2024
  • Produktbild: Web Information Systems Engineering – WISE 2024

  • .- 
    Recommendation Systems.


    .- Research on micro-videos recommendation method integrating multimodal data and user multi-behavior.


    .- Semantic Similarity-Based Graph Contrastive Learning for Recommender System.


    .- Feature-Adaptive Meets Domain-Specific Networks for Multi-Domain Recommendation.


    .- Next POI Recommendation Based on Time Slot Preferences and Bidirectional Transformation Modeling.


    .- DKAF:Diffusion Kolmogorov-Arnold Fourier Hard Sample Mining for CTR.


    .- Cross-Domain Sequential Recommendation with Temporal Encoding and Projection-Based Learning.


    .- MHHCR: Multi-behavior Heterogeneous Hypergraph Contrastive Recommendation.


    .- CSA4Rec: Collaborative Signals Augmentation model based on GCN for Recommendation.


    .- Implicit-Relation Knowledge Distillation for Robust Recommendations.


    .- Temporal preference and knowledge-aware collaborative attentive network for electrical material recommendation.


    .- The Research of Sequence Recommendation Method Based on Heterogeneous Enhanced Transformer with Multi-Behavior Data.


    .- MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation.


    .- Causal Behavior Pattern Inference for News Recommendation through Multi-interest Matching.


    .- MIN: Multi-stage Interactive Network for Multimodal Recommendation.


    .- RANGER: Context-Aware Service Unit of Work Recommendation for Incremental Scientific Workflow Composition.


    .- Optimizing Real Estate Recommendations with Elasticsearch and Machine Learning Techniques.


    .- 
    Web Systems and Architectures.


    .- A Deep Reinforcement Learning-based Dependent Task Offloading for QoS Optimization in Satellite Edge Computing.


    .- HIChain: A Hierarchical IoT Permissioned Blockchain with Edge Cloud Architecture.


    .- Leveraging Deep Learning-based Approach for IoT Service Composition through Local Service Selection.


    .- An Efficient Device Placement Method for Distributed Training of Multi-branch Neural Network-based Remote Sensing Interpretation.


    .- On-Demand Bundling of Cloud and Edge Services.


    .- Towards Blockchain like SOA.


    .- Clustering-Based Diversity in Service Recommendation.


    .- Resource-based Blockchain Integration in Agri-Food Supply Chains.


    .- A Scalable Approach for Improving IoT Healthcare Systems with Privacy and Permissioned Blockchain.


    .- Acceptance and use of smart home technologies: a focus on Portugal.


    .- 
    Humans and Web Security.


    .- On How Cialdini's Persuasion Principles Influence Individuals in the Context of Social Engineering: A Qualitative Study.


    .- The Impact of Personality Traits and Need for Cognition on Cybersecurity Behavior: A Study Across Arab and European Samples.


    .- Reporting Social Media Fraud: Motivations, Barriers, and Reporting Mechanism.


    .- Need for Affect and Need for Cognition vs. Cybersecurity Attitude.


    .- Detecting ransomware using system calls through transfer learning on a limited feature set.


    .- Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction.