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/ > msgid/actionml-user/CAC-ATVFMsZw3uKtJQ8Mi00vvfRz4wOo3b > acs5KMzcqS0kDdc0A%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. > >
