I am very new to Mahout and currently just ready up to chapter 5 of 'MIA' but after reading about the various User centric and Item centric recommenders they all seem to still need a userId so still unsure if Mahout can help with a fairly common recommendation.
My requirement is to produce 'n' item recommendations based on a chosen item. E.g. "if I've added item #1 to my order then based on all the other items; in all the other orders for this site, what are the likely items that I may also want add to my order based; on the item to item relationship in the history of orders of this site?" Most probably using the most popular relationship between the item I have chosen and all the items in all the other orders. My data is not 'user' specific; and I don't think it should be, but more like order specific as its the pattern of items in each order that should determine the recommendation. I have no preference values so merely boolean preferences will be used. If Mahout can perform these calculations then how must I present the data? Will I need to shape the data in some way to feed into Mahout (currently versed in using Hadoop via Aws Emr using Java) Thanks for the advice in advance, Billy
