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From Sean Owen <>
Subject Re: Recommendations for new users
Date Fri, 12 Oct 2012 15:54:54 GMT
See my answer on StackOverflow. Yes it is important.
On Oct 12, 2012 4:23 PM, "Ahmet Ylmaz" <> wrote:

> Hi,
> We are planning to use Mahout for our movie recommender system. And we are
> planning to use SVD for model building.
> When a new user comes we will require him/her to rate a certain number of
> movies (say 10).
> In order to recommend movies to this new user we have to rebuild the
> entire model. But this not appealing in terms of computational load.
> I'm looking for better solutions.
> For FunkSVD, one solution seems to be retraining the model *only* on the
> new user, in order to learn the factors associated with him.
> Since there are not many ratings associated with the new user you can
> learn the new user's factors in a quite negligible time.
> Actually this solution seems not to be difficult to implement. So, I
> wonder why this is not implemented in Mahout given that in commercial
> settings it is very important to be able to immediately recommend items to
> users after they give some ratings.
> Thank you
> Ahmet

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