I see. This almost is not a 'classic' recommendation problem. If you have user-subject similarity, and subject-item similarity already, then user-item similarity is probably just the product of the two? so you can recommend items by ordering by similarity.
That is, in particular, it sounds like you don't really have a notion of 'ratings' from users to items, which is what this library really is all about. Am I right, or do you have user ratings? On Mon, Jun 22, 2009 at 4:24 PM, charlysf<[email protected]> wrote: > > Thank you, > > In fact, I need the similarity in database to be able to give the > neighborhood and similar users and similar items. > > Right now, for my users, I have this table : user_a_id, user_b_id, > similarity > And I have the same for items. > > I would like to do some implicit recommendation, and I know that an user is > linked to some topics, and an item too. A topic is what I call my subject. > That's why I have a link between users and subjects and items and subjects.
