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 <[email protected]> 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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