Thank you so much Angus for your help. I did not quite get it, so if I have the following data:
Customer ID Product ID Rating 1 1 No Rating (0,1) 2 1 Like (1,0) 3 2 Dislike (0,0) If what I understood is correct, how can I represent it to Mahout, and is it going to be a boolean pref data model ? Thank you so much again, Best Regards, Shady On Sat, Oct 10, 2015 at 3:18 AM, Angus Macnab <angus.mac...@gmail.com> wrote: > Rather than try impose ordinality on your data, you can think of "like", > "dislike", "did not rate" as a categorical feature with a cardinality of > three, which can be encoded using two binary features. All possibilities > are fine, but the most logical is probably: rated=(0,1) and liked=(0,1). > > So you just need to come up with the routine to encode these features. > Hope this helps! > > Best, > > Angus > -------------------------------------- > Angus Macnab > > On Fri, Oct 9, 2015 at 3:54 PM, Shady Hanna <shadimamdouh...@gmail.com> > wrote: > >> Hi , >> >> I have a data which is represented in like,user did not rate it, and >> dislike, and I am not sure how I can represent this data to Mahout User >> Based/Item Based Recommender System, and which user Similarity can be used >> for such dataset. >> >> Would you please advise ? >> >> Thank you, >> Best Regards, >> Shady >> > >
