Yes, this is entirely reasonable. You could also proceed by pre-computing user-user similarities and using a user-based recommender. While it seems very much the same, I wouldn't do that actually. Pre-computing kind of relies on the assumption that similarities won't change much as you learn more, and that is far more true of docs than users.
On Thu, Jul 23, 2009 at 6:41 PM, Claudia Grieco<[email protected]> wrote: > Hi guys, > > I know that Mahout supports only collaborative filtering, but let's see if > this approach makes sense: > > Item-based recommenders can be initialized with pre-computed item-item > similarities, right? And what if those item similarities are computed using > a Content Based technique (example off the top of my head, Cosine distance > between the text of two documents computed using Lucene)? Am I missing > something? > > Thanks for your help > > Claudia > >
