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What you describe sounds exactly like a "search" problem.

Employers need a way to search through the many applicants for people worth interviewing. Today they use heuristics (like referrals) to make filtering easier. There might be better ways to do filtering.

As an employee, it isn't easy for me to list all job openings within 15 minutes of my home today.



It is pretty easy to list current job openings within X miles of a zip code on indeed or another aggregate job posting site.


Search is a different machine learning problem than recommend / match. They are very related, but performance isn't a symmetrical challenge.




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