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Calibrated Recommendation Algorithm for Multi-Source Heterogeneous Online Learning Resources: A Dual Knowledge Graph Approach

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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spellingShingle Calibrated Recommendation Algorithm for Multi-Source Heterogeneous Online Learning Resources: A Dual Knowledge Graph Approach
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Calibrated Recommendation Algorithm for Multi-Source Heterogeneous Online Learning Resources: A Dual Knowledge Graph Approach
title_auth Calibrated Recommendation Algorithm for Multi-Source Heterogeneous Online Learning Resources: A Dual Knowledge Graph Approach
title_full Calibrated Recommendation Algorithm for Multi-Source Heterogeneous Online Learning Resources: A Dual Knowledge Graph Approach
title_fullStr Calibrated Recommendation Algorithm for Multi-Source Heterogeneous Online Learning Resources: A Dual Knowledge Graph Approach
title_full_unstemmed Calibrated Recommendation Algorithm for Multi-Source Heterogeneous Online Learning Resources: A Dual Knowledge Graph Approach
title_short Calibrated Recommendation Algorithm for Multi-Source Heterogeneous Online Learning Resources: A Dual Knowledge Graph Approach
title_sort calibrated recommendation algorithm for multi-source heterogeneous online learning resources: a dual knowledge graph approach
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11387786