Please correct side to size in my previous e-mail 2017-06-03 6:14 GMT+04:00 Marius Rabenarivo <[email protected]>:
> 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 <[email protected]>: > >> 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 <[email protected]> >> 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 <[email protected]>: >> >>> 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 < >>> [email protected]> 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 <[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 >>>> >>>> -- >>>> You received this message because you are subscribed to the Google >>>> Groups "actionml-user" group. >>>> To unsubscribe from this group and stop receiving emails from it, send >>>> an email to [email protected]. >>>> To post to this group, send email to [email protected]. >>>> To view this discussion on the web visit https://groups.google.com/d/ms >>>> gid/actionml-user/CAC-ATVEO_YON-5E95iPJjBR-FUgEv8TQsOA0rtD-x >>>> g0u-tNA_g%40mail.gmail.com >>>> <https://groups.google.com/d/msgid/actionml-user/CAC-ATVEO_YON-5E95iPJjBR-FUgEv8TQsOA0rtD-xg0u-tNA_g%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>> . >>>> For more options, visit https://groups.google.com/d/optout. >>>> >>>> >>> >>> >> >> -- >> You received this message because you are subscribed to the Google Groups >> "actionml-user" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected]. >> To post to this group, send email to [email protected]. >> To view this discussion on the web visit https://groups.google.com/d/ms >> gid/actionml-user/CAC-ATVFMsZw3uKtJQ8Mi00vvfRz4wOo3bacs5KMzc >> qS0kDdc0A%40mail.gmail.com >> <https://groups.google.com/d/msgid/actionml-user/CAC-ATVFMsZw3uKtJQ8Mi00vvfRz4wOo3bacs5KMzcqS0kDdc0A%40mail.gmail.com?utm_medium=email&utm_source=footer> >> . >> For more options, visit https://groups.google.com/d/optout. >> >> >
