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From Eric Link <>
Subject Re: Recommendations for new users
Date Fri, 12 Oct 2012 16:03:30 GMT
Do you have a link to your stack overflow answer?  Thx. - Eric

On Oct 12, 2012, at 10:54 AM, Sean Owen <> wrote:

> 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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