Sovren Semantic
Matching Engine

Interested in seeing firsthand how our software works? Sovren would welcome the opportunity to schedule an online demo with you. Please contact us anytime or fill out this form.

Questions
When it comes to Sovren software, setup couldn’t get any easier. In fact, you can begin processing resumes in about 20 minutes. But if you ever do have any questions, our support team is here for you 24-7.

A huge-name financial media company looked at Sovren in early 2010 for parsing and matching for its job board, but decided to go with one of our competitors’ products instead because they offered desperate pricing that we were unwilling to match. They got a cheaper product, but within a year, they were back, looking for the best product, not the cheapest. After extensively testing Sovren’s parsing and semantic matching components for several months, they chose Sovren.

Support 24/7

When it comes to Sovren software, setup couldn’t get any easier. In fact, you can begin processing resumes in about 20 minutes. But if you ever do have any questions, our support team is here for you 24-7.

Sovren Semantic Matching Engine
Why you’ll love our matching engine

Matches profiles, not words

The Semantic Matching Engine (SME) understands candidates as people with specific career profiles, and understands jobs the same way. Unlike traditional engines that just look for words, the SME looks for profiles. Instead of finding “Java” and saying “We have a match!!!”, the SME understands that the job posting is looking for a midrange Java programmer who is bilingual in English and Spanish, and then looks for candidates who exactly match that profile.

Eliminates over 90% of false matches

Because the Semantic Matching Engine matches profiles and not words, it dramatically reduces false positives. Instead of finding “Java” and saying “We have a match!!!”, the SME understands that the job posting is looking for a midrange Java programmer who is bilingual in English and Spanish, and then looks for candidates who exactly match that profile. 90+% of Java programmers do NOT match that profile, yet ALL traditional engines would show ALL of those Java programmers as matches. But they are NOT valid matches, the Semantic Matching Engine knows that and will not return those false matches.

Captures the most qualified applicants

When the Semantic Matching Engine finds a search term, it evaluates all of the relevant criteria. It investigates the context, values and meaning of the search term to evaluate whether it is an actual match or just a false positive. The more criteria that a candidate matches, and the better the candidate is on those criteria, the higher the candidate will be ranked by the SME.

Built for recruitment, not adapted from something else

Our engine was built specifically for resumes and jobs, not for some other industry that was later adapted for the recruitment industry. No other engine has these capabilities or the flexibility of the Sovren Semantic Matching Engine.

Allows weighting of candidate criteria

The Semantic Matching Engine allows recruiters and candidates to set their own weightings for each criterion, ensuring that the matching engine “thinks” like the human user thinks when finding the best matches. Is this a job where having a specific educational degree is an absolute prerequisite? Then set the Education criterion to be the heaviest weighting, and the SME will act accordingly, treating Education as the most important part of the matching process.

Like the Sovren parsing technology, the Sovren Semantic Matching Engine is the most configurable matching engine on the market. It enables searches to be re-weighted and re-run in real time to maximize the scope of the search or make it pinpoint specific.

Automatically matches in real time

The Sovren Semantic Matching Engine enables jobs and candidates to be automatically matched in real time on 15 different dimensions of “fit,” with no human intervention needed.

No other engine in the world can operate on even half that many dimensions.

Clones candidates for the fastest matches

Using the Semantic Matching Engine, recruiters can “clone” candidates by finding candidates who are similar to other candidates. This technique is easier and faster than creating job descriptions to use for matching.

Clones jobs, too

Find a job that is a good match? Great! Now let the SME find other jobs that are similar, and show you the percentage of similarity, too.

Stability and Security like no other

Sovren software does not crash, hang, leak memory, or otherwise stop working or require special monitoring.

Global and multi-lingual

The Parser currently understands English, French, Dutch, Spanish, German, Greek and Swedish, including variants and dialects. More languages are being added. Click here for the complete list of languages.