ProRank’s solution is not a “black box” AI search engine. Recruiters can finely tune the search parameters to the hiring manager’s specifications. This gives the recruiter direct control over candidate search results while still benefiting from the power of machine learning.
ProRank’s search engine is built to be unbiased. All candidates are evaluated based on objective criteria related to their work history and skillset. Indicators such as gender, background, and socio-economic status are not considered to make sure that even subtle unconscious biases have no impact on the results.
Semantic Language Parser
The resume parser has benchmarked well against the top competing services in the market. It is on par in identifying job and contact information. The key differentiator for ProRank’s resume parser is its superior skill and job role taxonomy normalization, resulting in more accurate searches and fewer false positives.