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Description
Restless Bandit compiles and analyzes tens of millions of resumes and job postings each year to create its statistical Talent Rediscovery models, providing a valuable resource for exploring labor market dynamics. The dataset predominantly includes information from white-collar occupations, with this specific analysis utilizing 19,258,407 individual resumes. To categorize these resumes into industry classifications, the Restless Bandit data science team employed a vector space model to compare companies based on the resumes submitted. By scrutinizing millions of these documents, patterns begin to emerge indicating which companies tend to recruit similar talent. For instance, Eli Lilly frequently hires candidates from a cluster of firms including Merck and Novartis. Companies that exhibit a strong similarity in their hiring patterns are subsequently organized into specific industry segments. While ample data has been collected to assess diversity levels for each Global 2000 company, this report will concentrate solely on industry segments to ensure the confidentiality of corporate information. Additionally, this focused approach allows for a more comprehensive understanding of industry-wide trends without compromising individual company identities.
Description
INTELLIGENCE - Our primary algorithm specializes in pinpointing and prioritizing the most suitable connections between resumes and job openings, serving recruitment agencies and talent acquisition departments effectively. This system allows for rapid matching of candidates from your ATS or CRM based on the job descriptions provided by your clients. By analyzing the natural language within both job descriptions and candidate profiles, our models generate a prediction of compatibility. This innovation liberates your teams from the cumbersome task of constructing lengthy and intricate “Boolean” searches that often produce irrelevant results and overlook qualified candidates. Utilizing a natural language model enables a comprehensive evaluation of fit to be determined. With training on millions of candidate-job combinations and insights gained from interview outcomes, our models are adept at forecasting whether a candidate will receive an interview invitation. Ultimately, this leads to more efficient hiring processes and a higher quality of candidate selection.
API Access
Has API
API Access
Has API
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Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Restless Bandit
Founded
2014
Country
United States
Website
www.restlessbandit.com
Vendor Details
Company Name
untapt
Founded
2013
Country
United States
Website
www.untapt.com
Product Features
Recruiting
Assessments
Background Screening
CRM
Interaction Tracking
Internal HR
Interview Management
Job Board Posting
Job Requisition
Onboarding
Recruiting Firms
Reference Checking
Resume Parsing
Self Service Portal
Product Features
Assessment
Certification Management
Individualized Assessments
Multi-User Collaboration
Proctoring
Scoring
Skill Testing
Surveys
Test / Quiz Creation
Recruiting
Assessments
Background Screening
CRM
Interaction Tracking
Internal HR
Interview Management
Job Board Posting
Job Requisition
Onboarding
Recruiting Firms
Reference Checking
Resume Parsing
Self Service Portal
Talent Management
Career Development Planning
Compensation Management
Competency Management
Employee Lifecycle Management
Goal Setting / Tracking
Job Description Management
Onboarding
Performance Appraisal
Recruiting Management
Succession Planning
Training Management