So I have to send an event like category-preference for each tag associated
to an item right?

entityId: userd-id
event: category-preference
targetEntityId : tag/token

2017-06-02 19:47 GMT+04:00 Pat Ferrel <[email protected]>:

> When a user expresses a preference for a tag, word or term as in search or
> even in content like descriptions, these can be considered secondary
> events. The most useful are tags and search terms in our experience.
> Content can be used but each term/token needs to be sent as a separate
> preference while search phrases can be used though again turning them into
> tokens may be better.
>
> Please looks through the docs here: http://actionml.com/docs/ur or the
> siide deck here: https://www.slideshare.net/pferrel/unified-
> recommender-39986309
>
> The major innovation of CCO, the algorithm behind the UR, is the use of
> these cross-domain indicators. They are not guaranteed to predict
> conversions but the CCO algo tests them and weights them low if they do not
> so we tend to test for strength of prediction of the entire category of
> indictor and drop them if weak or set a minLLR threshold and filter weak
> individual indicators out.
>
> Technically these are not called latent, that has another meaning in
> Machine Learning having to do with Latent Factor Analysis.
>
>
> On Jun 1, 2017, at 11:26 PM, Marius Rabenarivo <[email protected]>
> wrote:
>
> Hello everyone!
>
> Do you have an idea on how to use latent informations associated to items
> like tag, word vector embedding in Mahout's SimilarityAnalysis.
> cooccurrences?
>
> Regards,
>
> Marius
>
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