Restless Bandit Description
Restless Bandit collects tens to millions of job descriptions and resumes each year to build its statistical Talent Rediscovery model. This corpus of data allows research and investigation into labor market trends. This data set is dominated by white-collar workers. This examination used 19,258,407 resumes. The Restless Bandit data science team developed a vector space model that compared companies using resumes to help determine their industry classifications. After analyzing millions of resumes, it becomes clear which companies are similar. Eli Lilly, for example, tends to hire people within a group of companies like Novartis, Merck, and Novartis. A segment is a grouping of companies with high similarity ratings. The team has enough data to determine diversity at the company-by-company level for Global 2000 companies, but this report will only focus on industry segments to protect corporate privacy.
Integrations
Company Details
Product Details
Restless Bandit Features and Options
Restless Bandit Lists
Restless Bandit User Reviews
Write a Review- Previous
- Next