LinkedIn’s candidate-spotting systems are designed to be quick
learners. Initially, LinkedIn will analyze recruiters’
current selections of job candidates — and then find more prospects with
similar careers, skills and education. If recruiters click on some
suggestions and start an e-mail dialogue with candidates, those will be
regarded as especially good matches. If suggestions are ignored, those
will be scored as poorer matches. Over time, LinkedIn will realign its
matching patterns in an effort to deliver more of what’s valued and less
of what isn’t.
The new algorithms can’t run without a base of human-generated candidate preferences. But in the years to come, LinkedIn’s algorithms could play an increasingly important role in shaping companies’ overall prospect lists.
- More Here
The new algorithms can’t run without a base of human-generated candidate preferences. But in the years to come, LinkedIn’s algorithms could play an increasingly important role in shaping companies’ overall prospect lists.
- More Here
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