Job Seekers

Benefits to the job seeker

Job seekers have a “need for speed.” Only the most desperate and least desirable candidates are willing to spend long stretches of time typing information into on-line application screens.

Traditionally, the candidate’s need for speed has conflicted with the job board’s need to have very detailed fielded information about the candidate’s contact info, work history, education, certifications, skills, foreign language fluency, etc.

Therefore, in order to improve the quantity and quality of candidates in the applicant pool, it is imperative that the job board implement new ways of simplifying and accelerating the candidate application process while preserving its capture of detailed, fielded candidate information. The Sovren Resume/CV Parser provides the tools to marry the candidate’s need for speed with the job board’s need for detail.

Online application processes powered by the Sovren Resume/CV Parser can double the throughput of completed candidate applications, from day one. By using the Sovren Resume/CV Parser to power the application process, candidates can upload their resumes to be converted, parsed, and displayed in a pre-filled fielded application form. The elapsed time for this process is typically about two seconds. These two seconds save the candidate the 5-30 minutes necessary to fill out screens of fielded forms by hand. In two seconds, the Sovren Resume/CV Parser can do that for them.

The net effect of powering an on-line candidate application portal using the Sovren Resume/CV Parser can be directly measured by an increased volume of resumes and by a significant increase in perceived candidate quality.

Thus, the Sovren Resume/CV Parser provides a highly valuable and measurable direct benefit to the job seeker, and this in turn produces a highly valuable, measurable direct benefit to the job board.

In addition to the benefits of the Sovren Resume/CV Parser, the Sovren Semantic Matching Engine provides measurable benefits directly to the job seeker. The Sovren Semantic Matching Engine is more accurate (i.e., specific and targeted) in matching candidates to job openings, because the Sovren Semantic Matching Engine matches candidate profiles to job order profiles by using profile matching rather than antiquated keyword matching. Job seekers are provided fewer, higher quality matches that are far more likely to be of interest to the job seeker. This benefit should not be minimized, as most candidates are appalled at the irrelevance of traditional job board “jobs of interest” recommendations.

The Sovren Semantic Matching Engine has been uniquely architected to construct and match entire profiles rather than keywords. Other search engines are based upon core keyword matching technology that is inherently less accurate and less precise. Because of those inherent limitations, they can never be improved to match the precision of the Sovren Semantic Matching Engine.

The Sovren Semantic Matching Engine is not a better matching engine; it is an entirely new kind of matching engine designed from the ground up using an entirely different and demonstrably more precise paradigm: matching profiles rather than keywords. Other matching engines match documents to documents; the Sovren Semantic Matching Engine matches profiles to profiles.