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Piloting a Machine Learning-Based Job-Matching Algorithm: Summary of Results from Pomerania

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dc.contributor.authorHonorati, Maddalena
dc.contributor.authorGajderowicz, Tomasz
dc.date.accessioned2023-11-20T16:09:29Z
dc.date.available2023-11-20T16:09:29Z
dc.date.issued2023-11-20
dc.description.abstractThe objective of this note is to present and discuss the findings of piloting a task-based job matching tool developed by the World Bank and implemented in partnership with the Regional Labor Office of Pomerania, Poland. The aim of the pilot was to assess whether simple ML-based tools could contribute to improve the efficiency of PES delivery and job-seeking behaviors compared to rule-based, knowledge-driven approaches. By combining labor demand data from local occupational barometers and the descriptions of tasks in the national taxonomy of occupations, the tool provides jobseekers a menu of potential jobs available in the local labor markets that match the tasks performed in previous work experiences. Results show that jobseekers were satisfied with the proposed occupations resulting from the tool (as beyond their thinking) and had the intention to expand job search efforts, though job-seeking behaviors could not be monitored. Career advisers recognized that the lack of information on jobseekers’ education, skills, and preferences limited the efficiency of the proposed job matches.en
dc.identifierhttp://documents.worldbank.org/curated/en/099815111082317163/IDU05c01a6d4070a304a4c0bae302dffea5f6e98
dc.identifier.doi10.1596/40628
dc.identifier.urihttps://openknowledge.worldbank.org/handle/10986/40628
dc.languageEnglish
dc.language.isoen_US
dc.publisherWashington, DC: World Bank
dc.relation.ispartofseriesJobs Notes; Issue No.17
dc.rightsCC BY-NC 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/igo
dc.subjectJOB MATVHING TOOL
dc.subjectMACHINE LEARNING
dc.subjectML-BASED TOOLS
dc.subjectPES DELIVERY
dc.titlePiloting a Machine Learning-Based Job-Matching Algorithmen
dc.title.subtitleSummary of Results from Pomeraniaen
dc.typeWorking Paper
dspace.entity.typePublication
okr.crossref.titlePiloting a Machine Learning-Based Job-Matching Algorithm: Summary of Results from Pomerania
okr.date.disclosure2023-11-20
okr.date.lastmodified2023-11-08T00:00:00Zen
okr.doctypeWorking Paper (Numbered Series)
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099815111082317163/IDU05c01a6d4070a304a4c0bae302dffea5f6e98
okr.guid099815111082317163
okr.identifier.docmidIDU-5c01a6d4-70a3-4a4c-bae3-2dffea5f6e98
okr.identifier.doihttp://dx.doi.org/10.1596/40628
okr.identifier.externaldocumentum34193592
okr.identifier.internaldocumentum34193592
okr.identifier.report185722
okr.import.id2340
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099815111082317163/pdf/IDU05c01a6d4070a304a4c0bae302dffea5f6e98.pdfen
okr.region.administrativeEurope and Central Asia
okr.region.countryPoland
okr.topicSocial Protections and Labor::Labor Markets
okr.topicInformation and Communication Technologies::ICT Applications
okr.unitHuman Capital Director (HHCDR)
relation.isAuthorOfPublication6fb9dbbe-4cb6-5e0c-8c31-40a66e21d3d0
relation.isAuthorOfPublication.latestForDiscovery6fb9dbbe-4cb6-5e0c-8c31-40a66e21d3d0
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