Logo DOAB
  • Publisher login
    • Support
    • Language 
      • English
      • français
    • Deposit
            View Item 
            •   DOAB Home
            • View Item
            •   DOAB Home
            • View Item
            JavaScript is disabled for your browser. Some features of this site may not work without it.

            Chapter A statistical information system in support of job policies orientation

            Thumbnail
            Author(s)
            Martelli, Cristina
            kahlawi, adham
            Giambona, Francesca
            BUZZIGOLI, LUCIA
            GRASSINI, LAURA
            Language
            English
            Show full item record
            Abstract
            A significant problem for labour market policies relies on the individuation of the most advisable skills to have and to enhance through focused training offers. Vocational training systems and institutions are called to answer the question posed by every person looking for a new job or professional opportunities: which are the skills-to-have to enhance the professional profile? Many efforts have been made to answer this question, mainly designing predictive models; however, these models are often limited to specific economic sectors and usually don’t adopt a country-specific perspective. This paper proposes a recommendation system oriented to specific users: once that the user has described his/her skills profile, the system suggests the skills that, once got, will fit with the most frequent job vacancies. In this proposal perspective, the skills are proposed regardless of the economic sector, and they are compatible with the characteristics of the specific country labour market. In this contribution, we will focus on the Italian market; the recommendation system is based on the job ads published by Italian companies on various websites for both 2019 and 2020 after the skills required for each job offer have been mapped to one of the skills presented in the classification of European Skills/ competence, qualifications ad Occupations (ESCO).
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/177088
            Keywords
            job policies; labour market; skills recommender; recommendation system
            DOI
            10.36253/978-88-5518-461-8.25
            ISBN
            9788855184618
            Publisher
            Firenze University Press
            Publisher website
            www.fupress.com/
            Publication date and place
            Florence, 2021
            Series
            Proceedings e report,
            Pages
            5
            • OAPEN harvesting collection

            Browse

            All of DOABSubjectsPublishersLanguagesCollections

            My Account

            LoginRegister

            Export

            Repository metadata
            Doabooks

            • For Researchers
            • For Librarians
            • For Publishers
            • Our Supporters
            • Resources
            • DOAB

            Newsletter


            • subscribe to our newsletter
            • view our news archive

            Follow us on

            • Twitter

            License

            • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

            donate


            • Donate
              Support DOAB and the OAPEN Library

            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

            Directory of Open Access Books is a joint service of OAPEN, OpenEdition, CNRS and Aix-Marseille Université, provided by DOAB Foundation.

            Websites:

            DOAB
            www.doabooks.org

            OAPEN Home
            www.oapen.org

            OAPEN OA Books Toolkit
            www.oabooks-toolkit.org

            Export search results

            The export option will allow you to export the current search results of the entered query to a file. Differen formats are available for download. To export the items, click on the button corresponding with the preferred download format.

            A logged-in user can export up to 15000 items. If you're not logged in, you can export no more than 500 items.

            To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

            After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.