User 3230 | 2/20/2016, 9:38:26 AM
In my dataset, it is inherently more likely that a user-user recommendation system will provide better precision and recall.
I could "rotate" the user-rating matrix by swapping the userid and itemid columns both in the train/test split command and the eventual create command.
I could then use getsimilarusers to retrieve the actual similar items, would this work? Or is there a better way to create a user-user recommendation model in Graphlabs?