Here we go: https://issues.apache.org/jira/browse/SPARK-4823
On Wed, Dec 10, 2014 at 9:01 PM, Debasish Das
wrote:
> I added code to compute topK products for each user and topK user for each
> product in SPARK-3066..
>
> That is different than row similarity calculation as we need b
I added code to compute topK products for each user and topK user for each
product in SPARK-3066..
That is different than row similarity calculation as we need both user and
product factors to calculate the topK recommendations..
For (1) and (2) we are trying to answer similarUsers to given a
/jira/browse/SPARK-3066
On Wed, Dec 10, 2014 at 2:44 PM, Debasish Das
wrote:
> Hi,
>
> It seems there are multiple places where we would like to compute row
> similarity (accurate or approximate similarities)
>
> Basically through RowMatrix columnSimilarities we can compute col
Hi,
It seems there are multiple places where we would like to compute row
similarity (accurate or approximate similarities)
Basically through RowMatrix columnSimilarities we can compute column
similarities of a tall skinny matrix
Similarly we should have an API in RowMatrix called
