Pramit Vamsi 2010-08-29, 17:25
Sean Owen 2010-08-29, 17:39
Ted Dunning 2010-08-29, 18:26
Sean Owen 2010-08-29, 18:37
Yes, this is a simpler problem. You just want to find which items are
most similar to a given item, for some definition of 'similar'.
GenericItemBasedRecommender has a mostSimilarItems() method that just
saves you the trouble of computing this by hand, and any
ItemSimiliarity function you like can be used.
On Sun, Aug 29, 2010 at 7:26 PM, Ted Dunning <[EMAIL PROTECTED]> wrote:
> These are examples of what I call cross-recommendation where you have user x
> item1 and user x item2 data and you
> want item1 => item2 recommendations.
> All of the standard techniques apply (user-based, LLR cooccurrence, SVD,
> latent factor models), but you have to rejigger things here
> and there.
> Sean, can Mahout's recommendation system do this cross recommendation?
Pramit Vamsi 2010-08-30, 14:47
Ted Dunning 2010-08-30, 16:44
Jake Mannix 2010-08-30, 17:34
Sean Owen 2010-08-30, 15:52
Chris Bates 2010-08-30, 15:20