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From Sean Owen <>
Subject Re: Startup cost for instantiation of recommenders
Date Sun, 29 Jan 2012 19:31:27 GMT
(This is all not Hadoop-based, I presume.)

It varies from implementation to implementation; some implementations have
a lot of precomputation at startup and some don't. Most do a fair bit of
caching so they respond slowly and then more quickly as the caches fill.

Anything's possible, but this is not a common way to use these, no.

On Sun, Jan 29, 2012 at 7:26 PM, Bill Liang <> wrote:

> Hi all,
> I'm considering dynamically instantiating multiple recommenders on the
> fly. If I want to create 10 recommenders from previously trained models,
> and then get recommendation from each of them, is that a practical thing to
> do? in other words, is it going to take too long beyond what average user
> is willing to wait for? I know it can be easily tested, I just want to hear
> from other people's experience.
> Thanks,Bill

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