How does Pointwing recruiting software's “Smart Match” Semantic Resume Search Deliver Faster, More Accurate Candidate Matches to Job Orders?
Pointwing Smart Match semantic resume search, which is capable of reducing your time-to-find 100-fold, gives you the fastest, most intelligent and accurate means of finding the ideal candidate for every job requisition. It is the only such context-sensitive resume search engine currently available in recruiting and staffing-specific software.
Pointwing’s Smart Match resume search capability goes far beyond simple keyword searching, matching and ranking. Instead it uses sophisticated context-aware semantic matching of profiles between your job orders or candidate profiles and candidate resumes.
Do you really want to spend your time creating complex Boolean searches for candidate resume to job order matches? Do you really want to wade through oceans of irrelevant results that come up with keyword-ranked or concept searches? Or do you just want to recruit and make placements? Your recruiting software should make searches easier and faster. |
ABOVE: Pointwing recruiting software with "Smart Match" enables you to pick the criteria for your context-sensitive semantic resume search and weight those criteria according to their importance. |
What semantic search in Pointwing recruiting software means to the average recruiter is this: faster, easier, more accurate matches of candidate resumes to job orders. No longer do recruiters need to learn how to create complex Boolean SQL-query skills to run candidate resume searches. No longer do they have to deal with too many results and irrelevant matches that come up with plain keyword searches.
But just what is semantic search?
Semantic search uses semantics or “the science of meaning in language” to produce highly relevant resume search results rather than have the recruiter sort through a list of loosely related keyword results. It is sometimes called “contextual search”.
Why keyword searches give you less relevant results than semantic search.
For comparison, let’s first look at the typical ATS’ or recruiting software’s resume search tool, which is based on keyword search. Keyword searching methods are very effective when searching defined fields within a database, but they are not so effective searching for meaningful results in documents such as candidate resumes.
Keyword resume search results are based on the individual words you use. The approach does nothing to understand the possible meaning created by joining two or more words together. True, you can create Boolean searches with higher levels of complexity that may improve your results. However, Boolean searches can also introduce false positives and potential human errors that reduces their effectiveness.
Another technique used in recruiting software resume keyword searching is “ranking”, which merely counts how many times the word or phrase appears in the document, not its actual relevance to your search. In fact, savvy job seekers have learned to "spam" their resumes with repeated terms that you’re likely to search on so that they will show up higher in your keyword-ranked searches. That makes such searches even less useful.
Concept search is another keyword based search methodology. In conceptual searching, a thesaurus of synonyms is created that is used with the keywords the recruiter may use in their search. In other words, it finds word that are “like” the keywords. Unfortunately, concept searching can actually increase the number of false positive results generated.
The bigger question is this: Do you really want to spend your time creating complex Boolean searches for candidate resume to job order matches? Do you really want to wade through oceans of irrelevant results that come up with keyword-ranked or concept searches? Or do you just want to recruit and make placements? Your recruiting software should make searches easier and faster.
Semantic searches deliver more relevant and valuable results.
Semantic search is based on the search term’s relevance as determined by a words’ ontology, its true meaning within the context of the phrase.
To be successful then, a recruiting software with semantic search capability must have a deep built-in understanding of how resumes are structured, the skills that candidates may have, and the way they are used “in context”. Pointwing Smart Match does.
Pointwing recruiting software integrates the Sovren Group’s Semantic Matching Engine. It features HR-XML certification and a built-in skills taxonomy covering approximately 65 top level categories (Legal, Retail, Accounting, HR, IT, etc.), more than 500 sub-categories, and 25,000-plus skills, some of which are further grouped into synonym hierarchies.
Robert Ruff, founder and CEO of Sovren Group, noted that, “The unique capabilities of the engine gives recruiters the ability to not only find candidates that match the requested career and experience profile, but to also weight their search for people who fit that profile today, not years ago. For example, if you are trying to hire a sales manager with 10-to-20 years of career experience and five or more years in management, Pointwing Smart Match knows that a person who used to be a sales manager, but who is now the President, is actually not a good match. No other engine can do that.”
Steve Taylor, President and CEO of VCG, said, “Pointwing Smart Match gives recruiting and staffing professionals the means to deliver exceptional service quality with speed and efficiency. And that means more successful placements and job order fills – and greater profitability.”
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