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From Marius Rabenarivo <mariusrabenar...@gmail.com>
Subject Re: Use of latent informations associated to items with Mahout's SimilarityAnalysis.cooccurrences
Date Fri, 02 Jun 2017 16:19:43 GMT
so, the event field should be the token and targetEntityId the item ID,
right?

2017-06-02 20:07 GMT+04:00 Pat Ferrel <pat@occamsmachete.com>:

> Yes, each is analyzed separately as a separate event. If you are using
> REST you can send up to 50 events in a single array. Some SDKs may support
> this too.
>
>
> On Jun 2, 2017, at 8:56 AM, Marius Rabenarivo <mariusrabenarivo@gmail.com>
> wrote:
>
> 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 <pat@occamsmachete.com>:
>
>> 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 <
>> mariusrabenarivo@gmail.com> 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.cooccurrenc
>> es?
>>
>> Regards,
>>
>> Marius
>>
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