Hi, Slowly prototyping a recommendation here. The system does not have user accounts. Since the users on the system don't have accounts, I'm struggling a bit with completely new users, and what to recommend them. I do have information about the user, like what referring site they came from (1 of n partner sites), the city they want to shop in, and rating value of the product. I wonder if I could use this information, to find the most similar existing user. Then use that most similar user to generate recommendations? Anyone have tips for dealing this this?
I'm not sure if Mahout supports finding most "similar user" based on user attributes, if not, this should be a simple sql/where-like select from the database. - Matt
