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From Daniel Gabrieli <dgabri...@salesforce.com>
Subject Re: UR Model Metrics Introspection
Date Thu, 06 Jul 2017 21:31:38 GMT
Thanks Pat.  The error was on my side.  All good now.  Cheers!

On Wed, Jun 21, 2017 at 3:08 PM Pat Ferrel <pat@occamsmachete.com> wrote:

> If all recs come back score 0 then they are from the most popular items
> only, not from the Collaborative Filtering algorithm.
>
> If you truly mean “all” then you have a problem in config or nearly 0
> data. Don’t mess with tuning until you solve this.
>
>
> On Jun 21, 2017, at 2:27 PM, Daniel Gabrieli <dgabrieli@salesforce.com>
> wrote:
>
> Hi,
>
> Question about the Universal Recommendation Engine (UR).
>
> The challenge I am experiencing right now is that all my recommendations
> come back with a score of 0 (and are the same recommendations for all
> users).
>
> After training the engine, is there a way to get the metrics about the
> trained model?  For example, which  (if any) indicators have a meaningful
> impact on the recommendation?
>
> I would like to tune the parameters maxCorrelatorsPerItem and minLLR but I
> am not sure how to figure out how the default parameters differ from the
> trained models results.  For example, what is the LLR for the indicators in
> the trained model currently?  How many correlators are currently considered
> significant?
>
>
> Thanks!
>
>
>
>

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