Yep.
On Sun, Dec 9, 2012 at 11:33 PM, Marty Kube <
martyk...@beavercreekconsulting.com> wrote:
> Because it uses Java pointers instead of offsets. The mmap'ed structure
>> could be mapped into memory at any address and thus must be position
>> independent.
>>
> Okay, I think I get the point here
Hi,
I am looking for confirmation regarding my usage of Mahout matrix
factorization with implicit feedback.
The input file is of the form , as advised in one of the
Mahout forums.
All my usage points are positive (i.e, the user watched the movie).
I changed the MovieLens Example:
$MAHOUT parall
As far as I know the ALS algorithm is described in the paper:
Yunhong Zhou, Dennis Wilkinson, Robert Schreiber and Rong Pan.
Large-Scale Parallel Collaborative Filtering for the Netflix Prize.
Proceedings of the 4th international conference on Algorithmic Aspects
in Information and Management. Sh
Hi Royi,
If you specify implicitFeedback=true, then another variant of ALS is
used that is described in this paper:
Collaborative Filtering for Implicit Feedback Datasets
www2.research.att.com/~yifanhu/PUB/cf.pdf
/s
On 10.12.2012 17:07, Danny Bickson wrote:
> As far as I know the ALS algorithm
Thanks! Could you confirm the correcrness of usage?
Sent from Samsung MobileSebastian Schelter wrote:Hi
Royi,
If you specify implicitFeedback=true, then another variant of ALS is
used that is described in this paper:
Collaborative Filtering for Implicit Feedback Datasets
www2.research.att.c
The usage seems to be ok, I'm not sure whether the learning rate value
(lambda) works well for the implicit variant of the algorithm, though.
The algorithm should work with binary data, but was originally designed
to incorporate the strength of the implicit interaction (like number of
views etc).
The versions of this algorithm where the value is 1 (no strength,
implicit only) will have a cost function where the squared-error terms
are relatively smaller -- because the errors are otherwise weighted by
that cu = 1 + alpha * ru term, which is largeish. So the
regularization term is relatively
