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From rules to forests: rule-based versus statistical models for jobseeker profiling

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Bibliographic Details
Published in:Journal for Labour Market Research
Format: Online Article RSS Article
Published: 2025
Subjects:
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container_title Journal for Labour Market Research
description
discipline_display Social Sciences
discipline_facet Social Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:14354
institution FRELIP
journal_source_facet Journal for Labour Market Research
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle From rules to forests: rule-based versus statistical models for jobseeker profiling
— — — — — Management
Sociology
Social Sciences
sub_discipline_display Sociology
sub_discipline_facet Sociology
subject_display — — — — — Management
Sociology
Social Sciences
— — — — — Management
Sociology
Social Sciences
subject_facet — — — — — Management
Sociology
Social Sciences
title From rules to forests: rule-based versus statistical models for jobseeker profiling
title_auth From rules to forests: rule-based versus statistical models for jobseeker profiling
title_full From rules to forests: rule-based versus statistical models for jobseeker profiling
title_fullStr From rules to forests: rule-based versus statistical models for jobseeker profiling
title_full_unstemmed From rules to forests: rule-based versus statistical models for jobseeker profiling
title_short From rules to forests: rule-based versus statistical models for jobseeker profiling
title_sort from rules to forests: rule-based versus statistical models for jobseeker profiling
topic — — — — — Management
Sociology
Social Sciences
url https://link.springer.com/article/10.1186/s12651-025-00399-w