How to Search the CV Database?

Log in to your account
Click on ‘Find Candidates’

From here you can immediately run a Search (Semantic only!) and add additional filters and requirements.

The following are options to filter additional requirements:

Experience: This filter should be used to filter through specific job titles and experience a candidate should have / or should have had in a previous position.

Location: This filter allows you to drill down in City, Region and Country – please note that multiselect is possible. This is the location the job seeker should be based in or near.

KM radius auto defaults to +50 KM but can be adjusted to +5 KM, +10 KM, +25 KM and +100 KM.

Nationality: This filter allows you to filter by the candidates' nationality. Multiselect is possible.

Education: This filter allows you to filter by the required education

Education level: This filter allows you to filter by the level of finished education of the candidate
- Options available:
- Post-Master
- Master
- Bachelor
- Vocational Education
- Secondary Education
Education - Majors / Degrees: This filter allows you to filter by required major / degree of the candidate.
Education - Colleges / Universities: This filter allows you to filter by colleges / Universities the job seeker attended.

Skills: This filter allows you to filter by skills of the job seeker

Language skills: Filter by language skills e.g. German, French
IT skills: Filter by IT skills e.g. CAD, Excel
Professional skills: Filter by professional skills e.g. Maintenance, Construction, Mechanical engineering

Employers: (last) companies the job seeker has been employed by

Last employer: last company the job seeker has been employed by
All employers: companies the job seeker has been employed by

Years of Experience: This filter allows you to filter by the number of years the candidate should have working experience in their required role or field.

Options available:

Less than a year
1 to 2 years
3 to 5 years
6 to 10 years
11 years or more

Open to relocate: This filter can be used to search for a candidates' relocation information (if provided by the candidate). Multiselect is possible.

Last Modified: This filter allows to filter by the last time the jobseeker updated or added a CV.

Options available:

Today
Last 3 days
Last week
Last Month
Last 3 months
Last 6 months
Last Year

Clicking on a jobseeker name will open up the jobseeker profile and option to download a CV

Clicking on the job title you can Exclude the title, or rank this as a ‘nice to have’, ‘should have’ or ‘must have’.

At any point you can amend the Keyword Relevance of the term used as when performing semantic searches, it is possible, but also important to indicate the relevance of each keyword in your search query. Marking certain keywords as more relevant than others and thus influences the ranking of the results that are returned.

There are three possible levels of relevance: Must Have, Should Have, and Nice to Have.

Must Have: Use Must Have to indicate that the term is required to be present in all search results. Any candidates that do not include the Must Have item will not be returned in the results.
a. This relevancy is set by default on all your keywords!
Should Have: Most search keywords will be marked as Should Have. Candidates that include the Should Have item will be ranked higher in the results than candidates that do not have it. Should Have allows results that do not include the term to be returned but they will be ranked lower.
a. Typing “^” in front of a keyword gives the option to rank the result higher if a certain keyword is added after “^”. (The should-have query parts are marked with condition STRONGLY_FAVORED.)
Nice to Have: Use Nice to Have to boost the ranking of items that are not mandatory but would make one candidate a better fit over another. The Nice to Have ranking weight is less than Should Have but still higher than candidates that do not have the term.
a. Typing “%” in front of a keyword gives the option to rank the result higher if a certain keyword is added after “%”. (The nice-to-have query parts are marked with condition FAVORED.)