Thank you for a quick response. And thank you for clearing up the unknown/new user issue. In my total lack of imagination I didn't think of passing an empty user parameter.
I looked into the blacklisting, is it possible to also use this function to blacklist categories? Say a user already selected an item of a certain category, and now doesn't want to keep getting recommendations in the same category, would I have to pass all categories and exclude the the ones already used? Initially I wanted to use the UR, but the owner did not want to use HBase and Elasticsearch at this point. I'm fairly new to this type of technology, but maybe I will try to learn it and try that out at a later point. Kasper On 20 March 2017 at 13:38, Daniel O' Shaughnessy <[email protected] > wrote: > 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 >> >
