For each new job position, an HR has to manage a substantial number of applications; the risk is that of losing skills in the analysis phase and discarding profiles potentially in line with research.

The solution? Skills Matching: semantic search engines

Our skills matching technology allows you to read and catalog CVs and job offers, understand their meaning and sort search results automatically.

Skills Matching technologies such as Skillskan indistinctly analyze all candidate profiles through CV screening, extracting and processing specific information relating to the work experience and skills acquired by the candidates.
In this way, even if the professional qualifications used in the presentation phase do not uniquely correspond to the roles sought, the semantic engine is able to establish a match between the skills of the resource and the characteristics sought by the company, thus optimizing the process of research and selection of resources and offering customers a significant advantage both in terms of quantity (streamlining the flow of operations in the candidate’s analysis phase) and quality.

Who is Skillskan?

Skillskan is a Skills Matching Intelligence, a semantic search engine available in web service that has thousands of professional job descriptions inside.

How does it work?

The engine does not perform a simple search through keywords but performs a logical analysis of the text, identifying semantic relationships and possible connections between words and extrapolating concepts.
Once a job offer has been entered, the semantic reader attributes professional tags with the tasks that the profile sought will have to perform.
The candidates are then sorted according to the professional tags read within the CV, which will be compared with those of the job offer.
The system detects the candidate’s compatibility with the job offer, which is immediately visible in the profile preview.

Thanks to the support of AI and Machine Learning, our team is able to work progressively to improve and strengthen the semantic engine, ensuring a more accurate association between candidates and job advertisements and thus allowing technology to process a huge amount of data in real time and work on the quality of the applications.