Accelerate the Match! between candidates and jobs

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Accelerate the Match! between candidates and jobs

Need to draw up a rapid shortlist of candidates or employees from your database to fill a job? Want to keep candidates informed of relevant jobs? Match!, semantic job matching, automates and accelerates these processes. This enables you to get the most out of your database or talent pool. Match! does the preliminary work, freeing you up to do the selecting!

How semantic matching works

Match! generates an automatic search query from a job description or a candidate’s resume. The result of the search is a shortlist of the best candidate matches or jobs from your databases. Textkernel’s semantic job matching software also simultaneously searches online for interesting candidates on job boards, social media and other sources. With the user-friendly interface you can further extend or modify your search, so you will always get the best results.

Benefits of Match!

  • Semantic matching directly from a resume, candidate profile or job ad
  • Finding the best matches in your own databases and online in external sources
  • Insight into the match and a user-friendly interface to refine or broaden the search
  • Available in English, German, French and Dutch
  • An unbeatable combination for marketing, lead generation and outplacement when used with Jobfeed

Job matching and candidate matching

Textkernel offers bi-directional matching: both job matching (matching jobs to candidates) and candidate matching (matching candidates to jobs).

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Specifications of Match!

Match! combines comprehensive knowledge of the job market with language technology. The technology 'understands' what is written in CVs and job ads. That enables us to carry out efficient automatic searches of job vacancy texts or CVs. We can then generate results that are relevant to you without any effort on your part.


Textkernel has integrated its business development and sourcing tools with Bullhorn to enhance enterprise recruiter productivity

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“The problem with a ‘black and white’ searching system is that you might miss out on relevant candidates. Textkernel’s semantic searching and matching allow us to automatically find greater numbers of suitable candidates for open positions as they come in.” – Tom Pohling, HR Manager at ARTS

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“Our recruiters have a user-friendly interface and can find and match
relevant candidates in our database. We have already arranged new
placements to the fullest satisfaction of our customers that we would
not have identified otherwise.” – Alexandre Grasset, Senior project Manager at Manpower

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