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From Vaghawan Ojha <vaghawan...@gmail.com>
Subject Re: Cart/Complementary purchase recommendation with UR
Date Sat, 08 Apr 2017 04:28:11 GMT
Hi Pat,

Thanks I will try this in my existing app.

Thanks
Vaghawan

On Thu, Apr 6, 2017 at 9:49 PM, Pat Ferrel <pat@occamsmachete.com> wrote:

> Yes it can be done but support is not ideal so UR v0.6.0 coming just after
> the release of PIO-0.11.0 (in RC now) has some enhancements that give you
> better options and easier queries.
>
> To get truly complimentary purchases you need to train on shopping carts,
> not users purchases. So the primary input would of the form:
>
> (shopping-cart-id, cart-purchase, product-id)
>
> Then in < 0.6.0 you query with the currently active shopping cart id as if
> it is the user-id
>
> {
>     “user”: “some-shopping-cart-id”
> }
>
> In v0.6.0 you still need to train on shopping carts to get true
> “complimentary purchase” but the query may be easier:
>
> {
>     “Item-set”: [“product1”, “product2”]
> }
>
> The query is the current contents of the shopping cart, no fake “user-id”
> required.
>
> UR 0.6.0 will also allow you to query against a model trained on user
> purchases with the same query but, though the results will be "things
> purchased by people with similar purchasing behavior as you query
> item-set", it won’t be strictly “complimentary purchases”.
>
> Since 2 methods are supported with UR 0.6.0 you could A/B test for which
> has the best results. If using user purchase (instead of shopping carts) is
> close to as good it would be much easier since you can have user-based,
> item-based and shopping carts recs from the same model. Otherwise one for
> user-based and item-based and another for “complimentary purchases” would
> make 2 trains and 2 models.
>
>
>
> On Apr 5, 2017, at 8:08 PM, Vaghawan Ojha <vaghawan781@gmail.com> wrote:
>
> Hi Pat,
>
> As far as the actionml docs tells me that I could be able to use the UR to
> recommend the cart/complementary purchase, but there seems to be no
> documentation regarding this.
>
> It would be helpful if there was a documentation for this feature. I know
> people have worked out and implemented the cart recommendation, but for
> begineer like me, it would still be like "what to do now".
>
> So could you help me how can I do that? If documentation is not ready yet
> for this, I could write one for this feature once I got what to do.
>
> Thanks
> Vaghawan
>
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