Hi Reinhard,
the presentation is part of the project:
https://github.com/ManuelB/facebook-recommender-demo/tree/master/docs
Have a great weekend
Manuel
Reinhard Denis Najogie najo...@gmail.com schrieb:
Hi Manuel,
Thanks for pointing me to your project!
I was able to run it on my machine.
Hi,
I try to make it clear:
I have some Training data from the past. Then I have a Matrix Q which looks
like a cube.
The Matrix have values e.g. from 1 to 3.
But some of the fields of this Matrix are empty (or zero)
Then I want to make a tensor factorization to get 3 matrix (A,B,C).
So I can get
There are many ways to think about combining these two types of data.
If you can make some similarity metric based on age, gender and interests,
then you can use it as the similarity metric in
GenericBooleanPrefUserBasedRecommender. You would be using both data sets
in some way. Of course this
W. e.
Sent from my iPhone
On Mar 15, 2013, at 5:15 PM, B.Maciag bartholomaeus.mac...@tu-dortmund.de
wrote:
Hi,
I want to create recommendations with it.
Ted Dunning ted.dunn...@gmail.com schrieb:
No.
But tensor SVD isn't even uniquely defined.
You can get similar results
Bartholomaus,
I don't how to use Mahout for Tensor SVD, but I have used the Matlab Tensor
Toolbox http://www.sandia.gov/~tgkolda/TensorToolbox/index-2.5.html and
N-way toolbox for Matlab http://www.models.life.ku.dk/nwaytoolbox
If you don't have access to Matlab, you can try Octave
