Totaljobs.com says it has built a new search algorithm into the website to improve the quality of relevant results for candidates.
The new algorithm, called Stepmatch, "continually learns and evolves to improve job matching on the site", said totaljobs.com.
Stepmatch combines computational linguistics, where computer science techniques analyse and synthesise language, and assistive technologies to improve search results.
The technology allows for contextual searches that closely match job titles with keywords. This helps eliminate common reasons for mismatching, for example, confusing the job title "cook" with the surname "cook".
Following a successful pilot, which saw applications increase by 4.09 percent to 10.95 percent depending on sector, said totaljobs.com, Stepmatch has been integrated into the existing totaljobs.com website.
The algorithm is also supported by a team of dedicated search professionals to tailor the feature to suit every vertical market, providing enhanced matching.
John Salt, website director of totaljobs.com, said: “The recently reported economic growth is a promising sign for the job market, with unemployment figures beginning to drop.
"However, jobseekers are still facing serious competition in finding employment. Our investment in Stepmatch ensures the stress of finding the ‘right’ job is significantly reduced, so candidates can focus on the quality of their application, not the quantity of them.”
Paul Smith, group marketing director at totaljobs.com, said: “The algorithm’s matching system is not based on dictionaries, but learns as recruiters and jobseekers continually use the technology. This represents a significant increase in performance and results for all users.”
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