Hi Kasper, The Ecom Recommender ( http://predictionio.incubator.apache.org/templates/ecommercerecommendation/quickstart/) actually does have a basic way to handle unknown/new users, they get recommended generally popular items.
I think the Universal Recommender might suit your needs best though. You can find out more about it there : http://actionml.com/docs/ur And yes, AFAIK the blacklist option will simply filter out any items you pass to it. Regards, Daniel. On Mon, 20 Mar 2017 at 10:02 Kasper Bjerke <[email protected]> wrote: > Hey guys, I'm currently working on a recommender engine for e-commerce. I > chose the official E-com Recommender. I have successfully trained and > deployed it. And have been testing some simple requests: > { "user" : "someUserId", "num" : 5 } etc. and I get some nice responses. > > Now I was wondering if there's some documentation on the following: > - Provide recommendations for users who are not logged in, like first time > users who would sign up during the purchase or just people who forgot to > sign in before adding items to cart. > - And is there a way to pass the existing items in cart as a parameter to > get a better recommendation? // is this the blackList Set[ ]? > > Thank you in advance, > Kasper >
