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Yooture - The app for job seekers

The School of Engineering FHNW has developed an elaborated matching method for the innovative start-up Yooture.

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Goals

Development of a dynamic and customisable matching in several dimensions and localisation of the individual “Professional Me” in relevant markets.

Background

Finding the right position is difficult: There are already many dating apps for searching a relationship, whereas the search for an ideal position is still traditional: Tediously combing job advertisements and time consuming applying. Yooture wants to change this: The app is designed to actively bring together employers and job seekers.

Results

The Institute of Data Science FHNW develops a matching method for the app. The challenge was to develop a sensible matching of a job advertisement and the professional profile: For example, a job advertisement can contain the requirement “object-oriented programming languages”. However, the job seeker’s profile says “knowledge in Perl and .NET”. The developed matching method recognizes the corresponding requirements and skills despite the different naming.

Information

Client

Yooture

Execution

FHNW Institute for Data Science

Duration

1 year

Sponsorship

Kommission für Technologie und Innovation KTI

Lead

Prof. Dr. Manfred Vogel

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