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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 Sat, 03 Jun 2017 02:22:05 GMT
Please correct side to size in my previous e-mail

2017-06-03 6:14 GMT+04:00 Marius Rabenarivo <mariusrabenarivo@gmail.com>:

> What will be the size of the matrix if we send an event like tag-pref
> We will get a |U|x|T| matrix I think (where T is the set of all tags).
>
> So [AtA] will be a |T| x |T| matrix and we will do a dot product with the
> user history hT to get recommendation right?
>
> I was assuming that A should be of side |U| x |I| where I is the set of
> all items as it should be added to other terms of the whole enchilada
> formula afterwards.
>
> Thank you for your guidance Pat.
>
> 2017-06-02 21:35 GMT+04:00 Pat Ferrel <pat@occamsmachete.com>:
>
>> Please refer to the documents. The “event” is the name of the type of
>> event or indicator if preference, it implies the type of
>> the targetEntityId. So a “tag-pref’ event would be accompanied by
>> a targetEntityId = tag-id. This is separate from attaching “tag” properties
>> to items with the $set event for use with filter and boost rules. One looks
>> at the data as a possible preference indicator and the other is used to
>> restrict results. This is why we usually name events so they sound like a
>> user preference of some type, whereas item property values are simply item
>> attributes, intrinsic to the items and independent of an individual user.
>>
>> The event can have any name that makes sense to you.
>>
>>
>> On Jun 2, 2017, at 9:19 AM, Marius Rabenarivo <mariusrabenarivo@gmail.com>
>> wrote:
>>
>> 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.cooccurrences?
>>>>
>>>> Regards,
>>>>
>>>> Marius
>>>>
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>>>
>>
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>

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