Web and Big Data 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part II /
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 carefu...
Gorde:
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| Beste egile batzuk: | , , , , , |
| Formatua: | Baliabide elektronikoa eBook |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Edizioa: | 1st ed. 2024. |
| Saila: | Lecture Notes in Computer Science,
14962 |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/978-981-97-7235-3 |
| Etiketak: |
Etiketa erantsi
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Aurkibidea:
- -- 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.