Comrise, and their spin-off, RT-FIT, announce the approval of their patent which uses a machine learning algorithm for prioritizing job candidates.
“This is a huge step forward for the teams at Comrise and RT-FIT. We've been working extremely hard on building this algorithm for close to a year now - and this is a huge win for us as we prepare to go to market.”
Online PR News – 02-July-2014 – Hazlet, NJ – Comrise, a global consulting firm specializing in Managed IT, Big Data, and Workforce Solutions with offices in the US, Hong Kong and China, and their spin-off, RT-FIT, are excited to announce the approval of their patent for Systems and Methods for Prioritizing Job Candidates based upon a Decision-tree algorithm.
The patent was filed in November 2013 and was officially approved by the USPTO on Friday, June 27th, 2014. This patented algorithm is the key ingredient for RT-FIT, a candidate prioritization application which is built in the form of a Software-as-a-Service (SaaS) plugin, and can integrate with any Applicant Tracking System (ATS) and Talent Management Platform. The algorithm was developed using 30+ years of hiring data from Comrise, Inc., which was then processed on HPCC Systems, the open-source Big Data Platform from LexisNexis.
"This is a huge step forward for the teams at Comrise and RT-FIT. We've been working extremely hard on building this algorithm for close to a year now - and this is a huge win for us as we prepare to go to market," says Rob Bigini, VP of Global Operations for Comrise. "We truly believe this algorithm can have a strong impact on improving key metrics for recruiters and talent acquisition professionals, such as time-to-hire and cost-to-hire."
RT-FIT is currently in beta with a few global enterprises across multiple industry verticals, as well as finalizing integration with ATS's in the U.S. and the UK, and a Vendor Management System (VMS) enterprise.