> I'm thinking the session ID (in the cookie) would be used as the user ID. > The events > are tied to product IDs, so these would be used in generating the > preferences.
I guess if you consider product-preference on a per session-basis (i.e. only items for which a user expresses preference for, in a single session, are similar to each other, in some way or the other). This way, you would be considering the session-ids as dummy user-ids, which I think should be good. I'd like to eventually run this on Hadoop, but it'd also be nice to know if > there is a way to do this locally, while developing the app, maybe using a > smaller > dataset? > Yes just writing a small offline recommender (made to run on a local machine) should do; you could take a subset of the data, use a FileDataModel, then do something like LongPrimitiveIterator itemIDs = dataModel.getItemIDs(); and iterate over these; getting _n_ recommended items for each, storing them somewhere (and maybe use this evaluating the recommender somehow) Best, Mridul
