Hi all,
Hope you are doing good.
I am using a OneVsRestClassifier with SGD as estimator to rank-order of 5
different lables using the predict_proba methods.
The ranked labels are actually products. The rank wiill be used to decide
the order in which the customer view the products.
My question is this:
Is there a way by which I can include my conversion event back into my
model?
Say, my rank order was A,C,B,.. which means I expect customer to click and
probably buy A.
Probably they end up buying C in most of teh cases. This kind of feedback
should be iteratively fed into the model so that it adjust accordingly.
(or)
Do you think if I constantly re-train the model at regular intervals taking
in recent data, this would be taken care?
Thanks,
Sanant
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