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How does ML-based Job Resume Matching Algorithm Work?

Skillate

To address this issue, we at Skillate created our AI-based matching engine to ensure that recruitment teams never miss out on a quality candidate. This is how it works: How does an AI-based Matching Engine work? You can learn its detailed working here.

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How does ML-based Job Resume Matching Algorithm Work? Part -2

Skillate

This is the second part of our blog on How Job-Resume Matching Engine Works In the first part we discussed the first three sections of the Resume screening process - Vocabulary and AI training models, Resume Indexing and Job Indexing. Seniority Level Matching. Years of Experience.

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Resume Parser: Fad or Fact?

Skillate

An Insight into the working of ML-based Resume Parsing Technology Recruiters have been screening resumes manually for a long time now. They read through every candidate resume and evaluate them on the basis of skills, knowledge, abilities and other desired factors. So, How can one avoid it?

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A Deep Dive Into Avature’s Job Titles Similarity Model

Avature

For organizations looking to deliver a high-touch candidate experience, intelligent job recommendations have become a key capability of career sites to match visitors with relevant opportunities. However, past experience, and specifically the similarity between job titles, is one of the essential factors.

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Why Amazon's AI-driven high volume hiring project failed

Hubert

And even more importantly - how can it be avoided? Related Blog Post. computing power costs were low, and machine learning (ML) was starting to become a viable technology, Amazon decided it was time to automate the recruitment sector. They then matched those resumés with numerous amounts of resumes from the past ten years.

COMPAS 85
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Conference Twitter Primer #HRtechConf 2018

Advos

Note: This is a Twitter primer so if a speaker or sponsor or exhibitor does not have a Twitter ID, you won’t find them on this primer. How to use this primer? Related Hashtags (based on recent tweets w/ #HRTechConf). Accenture : Follow us for updates on Accenture research, blogs, podcasts and more.

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Why Amazon's AI-driven high volume hiring project failed

Hubert

And even more importantly - how can it be avoided? Related Blog Post. computing power costs were low, and machine learning (ML) was starting to become a viable technology, Amazon decided it was time to automate the recruitment sector, mainly for internal usage to start with. The Ultimate Guide To AI Recruiting. Learn more.

COMPAS 58