Yes, and typically needs are <100ms. Now imagine even 10 concurrent
requests. My experience has been that this approach won't nearly
scale. The best you could probably do is async mini-batch
near-real-time scoring, pushing results to some store for retrieval,
which could be entirely suitable for your use case.

On Tue, Jun 23, 2015 at 8:52 AM, Nick Pentreath
<nick.pentre...@gmail.com> wrote:
> If your recommendation needs are real-time (<1s) I am not sure job server
> and computing the refs with spark will do the trick (though those new
> BLAS-based methods may have given sufficient speed up).

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