Increased Revenue from Job Boards for a Prestigious Media Company
A prestigious media company provides its customers a valuable recruitment service, with job ads online, and an online tool for job seekers to upload their documents and manage their job search. A key challenge in generating revenue from the recruiting tool is matching job ads with candidates.
Synaptiq leveraged its deep expertise in machine learning classification and natural language processing to develop a supervised machine learning solution that uses existing profiles to learn a probabilistic mapping from resume/vita text and job ad text to job categories. This included the development of a machine learning-based classification system that intelligently categorizes documents that users upload.
Both of these efforts greatly improved the relevance of matches between jobs and applicants, leading to more effective ads for institutions, higher revenues for the customer, and follow on work for Synaptiq.