The precision of the Sovren Semantic Matching Engine translates into faster hires at less cost, and into more fills with better quality hires.

Recruiters / Employers

Benefits to customers who post jobs

Customers who post jobs receive the same benefits as job seekers from the Sovren Semantic Matching Engine’s precise matching of job posting profiles to candidate profiles. Instead of receiving dozens of mismatched candidates who are “false positive” matches and which waste the customer’s time and money, they receive extremely targeted matches of candidates whose total experience profiles are the best match considering the job posting’s profile.

The precision of the Sovren Semantic Matching Engine translates into faster hires at less cost. In addition, because truly good-fit candidates are identified more quickly (i.e., without having to look at dozens of false positive matches to find the actual good fit candidates), customers will be able to fill more positions with better quality candidates. On average they will be able to identify and contact good fit candidates before users of other job boards do so (recall that most candidates post to multiple job boards).

The precision of the Sovren Semantic Matching Engine translates into faster hires at less cost, and into more fills with better quality hires.

Benefits to customers who buy resume database searches

The Sovren Pinpoint Searching Engine, based upon the same technology as the Sovren Semantic Matching Engine, is designed to construct and match search profiles to candidate profiles. The precision of the Sovren Pinpoint Searching Engine typically results in a 90+% reduction in the number of false positive matches which represent the main productivity drain caused by keyword search technologies.

The Sovren Pinpoint Searching Engine is able to eliminate almost all of the “noise” (or bad matches), while its’ extremely detailed matching of profiles finds better-matched candidates, far faster.

Thus, the Sovren Pinpoint Searching Engine finds better matches and far fewer false matches. The reduction in true human recruiter time-to-find can reach a factor of 100 to one by using the Sovren Pinpoint Searching Engine.

A side benefit of the Sovren Pinpoint Searching Engine is that by eliminating most false matches, and thereby significantly reducing the resulting match set size, OFCCP compliance requirements can be met with far fewer resources. In order to reduce the OFCCP compliance burden caused by their imprecise keyword search engines, some large job boards have resorted to randomly selecting a small subset of search results to return to the user. Think about that: job boards are actually promoting that they are sending back random results. The Sovren Pinpoint Searching Engine eliminates the need for reducing search result sets through randomization or other kluges.

Another benefit of the Sovren Pinpoint Searching Engine is that it eliminates the need for candidates to self-report their skill sets, and by eliminating this self-reporting, false matches are greatly reduced.
Sovren research has shown that when candidates self-report their skill sets, these self-reported skill sets do not accurately reflect the actual experience profile in the resume. The reason for this disparity is that candidates are well aware what “hot skills” are most in demand. They therefore self-report experience and competency in these hot skill sets, but this self-reporting is based on candidate desire, not actual work experience and education. In other words, candidates have learned to game the system; job board resume database users are the losers in this scenario, because their searches repeatedly turn up large numbers of candidates whose keywords “match”, but whose actual experience does not.

The Sovren Pinpoint Searching Engine also eliminates the deleterious effects of the other main strategy that candidates use to “beat the search engines”: keyword stuffing. Candidates have learned that they can easily fool antiquated keyword search engines that use simplistic keyword matching and then rank candidates by “density of hits” (or similar band-aids on a bad search). By stuffing paragraphs of keywords into Skills or Keywords sections in their resumes, candidates can assure themselves a higher ranking in the search results. Unfortunately these rankings are the result of the candidates gaming the system, not the result of intelligent matching. It is recruiters who pay the price in lost time and annoyance as they sift through resume after resume of unqualified candidates who “matched”.

The Sovren Pinpoint Searching Engine is not fooled by this keyword stuffing game, because the Sovren Pinpoint Searching Engine matches profiles, not keywords.

Keywords that appear in the resume, but cannot be identified within the context of actual real-world experience, receive a very low “value” in the Sovren Pinpoint Searching Engine’s matching algorithms. This ensures that only the candidate’s true skill sets matter in the matching process.

In summary, customers of job board resume databases receive some of the most significant and measurable productivity improvements from the Sovren Pinpoint Searching Engine, and can see dramatic reductions in their true human recruiter “time-to-find.”

Scalability

Our software runs in desktop applications, multi-tenant SaaS architectures, global server farms, and everything in between. It is fully multi-threaded and cost-effective to scale up and out.