mahout-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Eric Link <e...@ericmlink.com>
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 <srowen@gmail.com> wrote:

> See my answer on StackOverflow. Yes it is important.
> On Oct 12, 2012 4:23 PM, "Ahmet Ylmaz" <ahmetyilmazefendi@yahoo.com> 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


Mime
  • Unnamed multipart/alternative (inline, None, 0 bytes)
View raw message