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The Most Recent Advances In Resume Search Technology

Semantic search makes finding the best candidates intuitive, simple and faster.

The Most Recent Advances In Resume Search Technology

Recruiters have to employ every edge available. Finding the right candidates quickly is mission critical.

 

Conventional resume-search technology is outdated. It relies on keywords and Boolean search strings to sort or rank applicants. That leaves it severely disadvantaged versus the latest in intuitive “semantic” search.

 

Not sure what the differences are, or why it might be time to switch? Semantic search is an industry best practice you should know more about. 

 

The Problem With Traditional Search Tools

Conventional resume search tools have a serious drawback. They rely on inefficient keyword searches.  

 

A problem with keywords is that they’re literal. You have to match each one exactly to score as a hit. Candidates who misspell keywords, use unanticipated synonyms or abbreviations don’t get returned properly.

 

Standard keyword searches also fail to consider where particular words and phrases are found – the crucial context of resume information. They score an equal hit whether required terms are in the address section, work history, or education. For instance a search for the word “Masters” could register a hit if the person’s name is Sarah Masters, or if her resume says she ”masters new skills quickly,” but not if she’s stated she has a M.A. degree.

 

With regard to complex AND, OR, NEAR, NOT Boolean strings, they’re time consuming and need specialized knowledge on the part of the recruiter. Plus they seldom pick up all skill, title or word variations.

 

Semantic Search Is The Latest Advance

The most innovative candidate search technology features semantic resume search. What does that imply? For employee sourcing it means looking well beyond keywords. The emphasis is on parsing all the content, just like a seasoned recruiter would.

 

The results are impressive. No more two-dimensional algorithms that ignore context or word variations (of titles, skills and related talents). Gone are misinterpretations of typical spelling and punctuation errors. Say goodbye to annoying up-ranking of resumes that use keyword stuffing.

 

How Semantic Search Is Different and Better

Conventional resume search protocols started the revolution. Semantic reading, sorting and ranking is the natural evolution. It provides a number of unique features and benefits to users. Among these are the following:

 

Unique Semantic Search Feature

Primary Benefit To User

 

  • Understands context of words and phrases on a candidate’s resume
  • Helps rank applicants based on all content, not on keywords stuffed in artificially
  • Knows most synonyms and abbreviations of job titles, skills and certifications
  • Eliminates need for Boolean search strings to identify alternate versions and doesn’t require the searcher to be an industry expert on all related terms to a profession
  • Recognizes many grammar and spelling mistakes or punctuation variations
  • Spots qualified resumes even if candidate has made some language errors
  • Gives recent relevant experience a higher weighting than in older jobs
  • Assures that the candidate’s required skill sets are current, not outdated
  • No need for candidate to fill in extra forms or deal with screening questionnaires
  • Higher completion rate of applications by qualified candidates

 

Popular Misconceptions

Semantic search isn’t just keyword hunting on steroids. There is much more sophistication involved. Yet it’s simpler, not harder, for recruiters to get great outcomes fast.

 

Also not all semantic search systems are equal. Monster is the only job board equipped with this superior technology. In fact, most search tools claim to be semantic search, but are really only providing conceptual search.  They do offer some standard features: contextual search; criteria refinement options; rapid sorting and ranking of resumes; as well as integration with candidate management and communication tools. Beyond that there are value and feature differences worth investigating.

 

Keep Monster.ca In Mind

Monster Canada uses a proprietary, cutting-edge semantic search system. It is updated ongoingly and offers unmatched advantages.

 

Among these, you can choose either “Nice to Have” or “Required” when refining selection criteria. Don’t waste time with resumes that lack required attributes.  

 

Match by the largest range of criteria. Job title, years of experience, location and date of last resume update. Also skills/keywords, education, company worked for and preferred job type. Search a candidate’s full name or willingness to relocate and travel.  See average duration of previous jobs to identify job hoppers.

 

Monster is confident there is no finer system for finding resumes of the best candidates. Please call, chat live with or email a Monster representative for details about our patented Power Resume Search.