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| Link zu diesem Datensatz | https://d-nb.info/1385668229 |
| Titel | Database Systems for Advanced Applications : 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26–29, 2025, Proceedings, Part V / edited by Feida Zhu, Philip S. Yu, Akiyo Nadamoto, Ee-peng Lim, Kyuseok Shim, Wei Ding, Bingxue Zhang |
| Person(en) |
Zhu, Feida (Herausgeber) Yu, Philip S. (Herausgeber) Nadamoto, Akiyo (Herausgeber) Lim, Ee-peng (Herausgeber) Shim, Kyuseok (Herausgeber) Ding, Wei (Herausgeber) Zhang, Bingxue (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XXIX, 643 p. 199 illus., 185 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-95-4154-6 Printed edition:: ISBN: 978-981-95-4156-0 |
| Inhalt | -- Recommendation. -- Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation. -- MHGCP:Multi-View Heterogeneous Graph with Cross-View Projection for Recommendation. -- Towards Scenario-adaptive User Behavior Modeling for Multi-scenario Recommendation. -- Leave No One Behind: Enhancing Diversity While Maintaining Accuracy in Social Recommendation. -- Counterfactual Path Augmentation for Reinforcement Reasoning in Explainable Recommendation. -- Adaptive Personalized Federated Recommendation with Global Knowledge Distillation. -- FHCF: Fully-Hyperbolic Symmetric Graph Learning for Collaborative Filtering. -- UGDA: A Unified Graph-based Method with Domain-specific Adaptation for Multi-domain Recommendation. -- Self-supervised Hierarchical Representation for Medication Recommendation. -- Self-Supervised Dual Graph and Intention Association for Session-based Recommendation. -- Exercise Recommendation Based on Feature-Aligned Knowledge Tracing. -- Joint User and Item Prototype Alignment for Cross-Platform Recommendation. -- Diffusion Multi-Behavior Recommender Model . -- HHGCN-DrugRec: Hierarchical HyperGraph Convolution Network for Drug Combination Recommendation. -- Emotion-based Conversational Recommendation by Inferring Implicit Users’ Preferences from their Subjective Claims. -- CDIVR: Cognitive Dissonance-aware Interactive Video Recommendation. -- Modeling Personalized Short-term and Periodic Long-term Preferences for Enhanced Next POI Recommendations. -- DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level. -- Towards Unified Modeling for Positive and Negative Preferences in Sign-aware Recommendation. -- Alignment-Uniformity Aware Feature Representation Learning for CTR Prediction. -- Diffusion Based Data Augmentation for Multi-behavior Sequential Recommendation. -- Semantic Gaussian Mixture Variational Autoencoder for Sequential Recommendation*. -- Personalized Education with Ranking Alignment Recommendation. -- HierLLM: Hierarchical Large Language Model for Question Recommendation. -- Comprehensive Interest Modeling and Relational Mining for Multi-modal Recommendation. -- Demand-oriented Route Recommendation for Shared Mobility Services. -- CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation. -- KG-TS: Knowledge Graph-driven Thompson Sampling for Online Recommendation. -- Efficient Noise-reducing Neural Network for Cross-Domain Sequential Recommendation. -- Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems. -- Security & Privacy. -- Lattice-based Forward Secure Certificateless Encryption Scheme for Cloud Data Management. -- Logarithmic-size Lattice-based Linkable Ring Signature for Cloud Data Management. -- CyberLLM: Enable Mapping CVE to Tactics and Techniques of Cyber Threats via LLM. -- Privacy-preserving Multi-Dimensional Range Query Optimization Across Multiple Sources. -- Decoupled Self-Knowledge Distillation Makes Differentially Private Deep Learning Stronger. -- PriExRec: Defending Against Membership Inference Attacks in Federated Recommendation with Explicit Feedback. -- OPOM: The Ordinal and Parallel Optimization Method of Spark multi-query applications. -- Enabling Efficient and Authenticated Trajectory Similarity Retrieval on Blockchain-assisted Cloud. -- InC: A Vertical Federated Learning Framework with Multiple Noisy Labels. -- Breaking Free from Label Limitations: A Novel Unsupervised Attack Method for Graph Classification. -- TSALockMark: An Asymmetric and Robust Watermarking Scheme for Relational Databases with Distortion Constraints. -- Towards Confidential and Efficient LLM Inference with Dual Privacy Protection. -- ECPIR: Efficient and Controllable Privacy-Preserving Image Retrieval in Cloud-Assisted System. -- Privacy-preserving Image Generation Based on Self-Attention |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2601030314267.972616011807 DOI: 10.1007/978-981-95-4155-3 |
| URL | https://doi.org/10.1007/978-981-95-4155-3 |
| ISBN/Einband/Preis | 978-981-95-4155-3 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15990 |
| DDC-Notation | 006.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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