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From Sean Owen <>
Subject Re: recommendations
Date Sun, 29 Aug 2010 18:37:11 GMT
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 <> 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?

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