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Matcha platsannonser och arbetssökande med maskininlärning
Malmö University, Faculty of Technology and Society (TS).
Malmö University, Faculty of Technology and Society (TS).
2019 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

Uppsatsen syftar till att undersöka möjligheten att matcha arbetssökande och platsannonser efter generella kompetenser. Generella kompetenser behandlar hur arbetssökande agerar i relation till andra, löser sina arbetsuppgifter och agerar i relation till förändring. Under studien bedrevs ett pilotexperiment och tre experiment för att undersöka detta. Resultaten av experimenten gav en indikation av att det är möjligt men att vidare forskning och utveckling krävs för att uppnå bättre resultat. Genom att räkna förekomsten av ord kopplade till generella kompetenser i platsannonser kan de klassificeras efter vilka generella kompetenser de söker, 12282 platsannonser klassificerades genom metoden. Matchningen mellan arbetssökande och platsannons fick en träffsäkerhet på 48,57%, det låga resultatet tyder på att vidare forskning kring jämförelsen mellan en arbetssökande och platsannons är rekommenderad.

Abstract [en]

The paper aims to investigate the possibility of matching job seekers and job advertisements with general competencies. General competencies deal with how job seekers act in relation to others, solve their duties and act in relation to change. During the study, a pilot experiment and three experiments were conducted to investigate this. The results of the experiments provided an indication that it is possible but that further research and development is required to achieve better results. By counting the existence of words linked to general competencies in job advertisements, they can be classified according to which general competencies they seek, 12282 job listings were classified by this method. The match between job seekers and job advertisements received an accuracy of 48.57%, the low result indicates that further research on the comparison between a job applicant and job advertisement is recommended.

Place, publisher, year, edition, pages
Malmö universitet/Teknik och samhälle , 2019. , p. 35
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-20920Local ID: 29189OAI: oai:DiVA.org:mau-20920DiVA, id: diva2:1480804
External cooperation
Auranest
Educational program
TS Informationsarkitekt
Supervisors
Examiners
Available from: 2020-10-27 Created: 2020-10-27Bibliographically approved

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Citation style
  • apa
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