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Preference Learning Under Sparse and Noisy Feedback in IIoT‐Driven Industry 5.0 Systems: A Noise‐Corrected Graph‐Regularized Approach

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Published in:Internet Technology Letters
Format: Online Article RSS Article
Published: 2026
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container_title Internet Technology Letters
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discipline_display Computer Science
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genre Journal Article
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journal_source_facet Internet Technology Letters
publishDate 2026
publishDateSort 2026
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spellingShingle Preference Learning Under Sparse and Noisy Feedback in IIoT‐Driven Industry 5.0 Systems: A Noise‐Corrected Graph‐Regularized Approach
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Preference Learning Under Sparse and Noisy Feedback in IIoT‐Driven Industry 5.0 Systems: A Noise‐Corrected Graph‐Regularized Approach
title_auth Preference Learning Under Sparse and Noisy Feedback in IIoT‐Driven Industry 5.0 Systems: A Noise‐Corrected Graph‐Regularized Approach
title_full Preference Learning Under Sparse and Noisy Feedback in IIoT‐Driven Industry 5.0 Systems: A Noise‐Corrected Graph‐Regularized Approach
title_fullStr Preference Learning Under Sparse and Noisy Feedback in IIoT‐Driven Industry 5.0 Systems: A Noise‐Corrected Graph‐Regularized Approach
title_full_unstemmed Preference Learning Under Sparse and Noisy Feedback in IIoT‐Driven Industry 5.0 Systems: A Noise‐Corrected Graph‐Regularized Approach
title_short Preference Learning Under Sparse and Noisy Feedback in IIoT‐Driven Industry 5.0 Systems: A Noise‐Corrected Graph‐Regularized Approach
title_sort preference learning under sparse and noisy feedback in iiot‐driven industry 5.0 systems: a noise‐corrected graph‐regularized approach
topic Computer Science
General
Computer Science
url https://onlinelibrary.wiley.com/doi/10.1002/itl2.70307?af=R