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Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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PeRES: A Personalized Recommendation Education System Based on Multi-agents & SCORM
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Smart HR 4.0 – how industry 4.0 is disrupting HR
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Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
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inferredcites →https://doi.org/10.1109/tkde.2020.3028705openalex-snapshot
A Survey on Knowledge Graph-Based Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2021.3080293openalex-snapshot
Corporate Relative Valuation using Heterogeneous Multi-Modal Graph Neural Network
inferredcites →https://doi.org/10.1109/tkde.2021.3082948openalex-snapshot
Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
inferredcites →https://doi.org/10.1109/tkde.2022.3168775openalex-snapshot
MetaKG: Meta-Learning on Knowledge Graph for Cold-Start Recommendation
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A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
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Collaborative Knowledge Base Embedding for Recommender Systems
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Recurrent knowledge graph embedding for effective recommendation
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Interview Choice Reveals Your Preference on the Market
inferredcites →https://doi.org/10.1145/3308558.3313417openalex-snapshot
Knowledge Graph Convolutional Networks for Recommender Systems
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An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment
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Proceedings of the Web Conference 2021
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Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach
inferredcites →https://doi.org/10.1145/3503161.3548203openalex-snapshot
DOMFN: A Divergence-Orientated Multi-Modal Fusion Network for Resume Assessment
inferredcites →https://doi.org/10.1145/3576921openalex-snapshot
Preference-aware Graph Attention Networks for Cross-Domain Recommendations with Collaborative Knowledge Graph
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Explainable Recommendation: A Survey and New Perspectives
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Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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Deep Learning based Recommender System: A Survey and New Perspectives
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
inferredcites →https://doi.org/10.48550/arxiv.1911.02168openalex-snapshot
CoKE: Contextualized Knowledge Graph Embedding
inferredcites →https://doi.org/10.48550/arxiv.2106.05234openalex-snapshot
Do Transformers Really Perform Bad for Graph Representation?
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Survey on Explainable Course Recommendation Systems
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Model-Agnostic Knowledge Graph Embedding Explanations for Recommender Systems
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Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification
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GA-LLMRec: Recommender Systems with Graph-Augmented Large Language Models
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GCCR: GAT-Based Category-Aware Course Recommendation
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KnowPath: An LLM-Supported Knowledge Graph Construction and Path Finding Framework to Explainable MOOC Recommendations
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Optimization Method for University Talent Skill-Job Matching Based on ARG Multi-Dimensional Data and Knowledge Graph Embedding
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ΡreDiViD Τοwards the Ρredictiοn οf the Disseminatiοn οf Viral Disease cοntagiοn in a pandemic setting
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