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Re:Bayesian Inference for Hiring Engineers by sidlls on Thursday May 31, 2018 @05:58PM (#17200682)
How does embedding apply here? What's the justification?
Re:Bayesian Inference for Hiring Engineers by kofejnik on Thursday May 31, 2018 @06:05PM (#17200732)
It works very nicely for predicting what movie you'd like to watch, so it could potentially work with jobs, too. Collecting enough data could be challenging, though
Re:Bayesian Inference for Hiring Engineers by sidlls on Thursday May 31, 2018 @06:07PM (#17200749)
That's an incredibe over-simplification of the utility and usage of embedding. For an embedding to work there must be some legitimate (as opposed to arbitrary or even non-existent) relationship to be teased out.
Re:Bayesian Inference for Hiring Engineers by kchronic8 on Thursday May 31, 2018 @06:17PM (#17200823)
> For an embedding to work there must be some legitimate relationship to be teased out.

There is most definitely a relationship between candidate skills, job requirements, and interview result/job performance.

The point is to get rid of all these bullshit subjective excuses when people fail an interview/get fired. The answer is simple: they likely weren't good enough. But no one likes hearing that.

Re:Bayesian Inference for Hiring Engineers by KirinDave on Thursday May 31, 2018 @09:18PM (#17201815)
> There is most definitely a relationship between candidate skills, job requirements, and interview result/job performance.

This is actually not at all an obvious fact. It's continuously offered as a ground truth, but many people dispute it and a lot of successful organizations do not recruit weighing these factors as heavily as you're suggesting.

> The answer is simple: they likely weren't good enough. But no one likes hearing that.

Possibly, or possibly they were plenty good but so obnoxious or outrageous that they wouldn't be welcome. I've certainly done that more than once in my time building tech organizations. I still remember the guy who effusively praised the beauty of all the women he saw and congratulated me on "the haul". Even touched a woman's hair to compliment it. Too bad he was such a sleazebag, he seemed smart. But even from a cold economic standpoint the cost to the company for an inevitable sexual harassment lawsuit would always eclipse any value he could provide.

Re:Bayesian Inference for Hiring Engineers by kofejnik on Thursday May 31, 2018 @06:23PM (#17200858)
>> a vector of your skills vs. a vector of job requirements

Of course it's an over-simplification, but you don't think there's a legitimate relationship between the two?

Re:Bayesian Inference for Hiring Engineers by sidlls on Friday June 01, 2018 @02:18AM (#17203002)
Maybe, maybe not. It isn't obvious in any case, and reducing the problem to an embedding in the way suggested requires more validation.