The Search Party taps machine learning to spot variations in 15 million resumes

Online recruitment marketplace, The Search Party, is using machine learning algorithms to scan 15 million candidate resumes to ensure it provides the right candidates to employers. Speaking at the Chief Data Officer Forum in Sydney, head of data science, Dylan Hogg, discussed the use of a custom clustering algorithm and deep neural network to spot variations in resumes belonging to the same person and job titles. “As you can imagine a resume has a lot of text data, so a lot of what we do is natural language processing. It’s taking any natural language such as English and trying to infer the structure out of it and get insights from it,” Hogg said. The Search Party is an online recruitment marketplace that was founded in Sydney in 2014. Its aim…


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