Semantic Match
has a Machine Learning Service (MLS) that utilizes AI to identify relevant jobs and candidates. It measures the similarity between various jobs and candidates by looking at Title, Location, Category, Skills, Specialties, and Industries.
Machine Learning is used to access hundreds of millions of Bullhorn candidates, jobs, submissions, and placements and semantic matching to score and match candidates to job records based on historical placements.
For example, Bullhorn Automation's Machine Learning model is able to determine that a Job posting “Java Developer” is semantically closer to a Candidate with a position title of “Software Engineer”, than to a Candidate with a position title of “Real Estate Developer.”
Matching Features
The AI Matching service enhances the experience of recruiters, candidates, and clients by offering two features that help users better match candidates and jobs. This feature includes:
- AI Job Match - This feature matches candidates with jobs that best fit their location, experience, and skill set by including a link to correspondence that, when clicked, matches candidates with positions. AI Job Match increases applicant engagement by suggesting jobs that are a good fit for them.
- Available for and editions
- AI Auto Match - This feature helps recruiters by automatically matching newly acquired jobs to a list of the best candidates. AI Auto Match diminishes the need for recruiters to conduct manual searches; it can be paired with automated outreach.
- Available only for edition.