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  • CompLeap prototype: focus on algorithm and education opportunities
    • In development: a section where ESCO competence will be visible
    • PoC is part of a competence profile in a bigger context  - in PoC a bigger vision is tested in a smaller scale
    • Are the results plausible? How satisfies are we?
      • HTML prototype is similar to Europass prototype
    • At the moment too much is tried in Europass in relation to schedule
    • Competence vs. skills - according to commission "competence" shouldn't used
      • Strong authentication: Does the information come directly or is it transferred? A difficult question - people with a long education history make it scrappy  - the main thought it is the automatism - not like in LinkedIn where a user can add anything they want
    • Algorithm: What kind of problems have been solved?
      • It has been done in natural language - the education related descriptions - is written for a human user 
      • By machine learning semantic meanings are sought
        • combined with interests a service offers suggestions
      • Challenges:
        • The approach requires that the text needs to be similar: eRequirements - the descriptions of the education is written in the "official language" 
        • the used data needs to be similar in quality
      • Emphasis: what information is more meaningful than other?
        • Prior education + interests - only Limited amount of data is used
        • Work experience and the education history is empasized so that the most recent ones are prioritised

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