Do you have a link to your stack overflow answer? Thx. - Eric
On Oct 12, 2012, at 10:54 AM, Sean Owen <[email protected]> wrote: > See my answer on StackOverflow. Yes it is important. > On Oct 12, 2012 4:23 PM, "Ahmet Ylmaz" <[email protected]> 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
