GitHub user sbourke opened a pull request:
https://github.com/apache/spark/pull/3536
[MLLIB][SPARK-4675] Find similar products and similar users in
MatrixFactorizationModel
Using the latent feature space that is learnt in MatrixFactorizationModel,
I have added 2 new functions to find similar products and similar users. A user
of the API can for example pass a product ID, and get the closest products
based on the feature space.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sbourke/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/3536.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #3536
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commit 956ca1b86aacb22fabd52740ce0c6fef5524bae8
Author: Senior Stefano El Bour-que <steven.bou...@schibsted.es>
Date: 2014-11-28T08:40:40Z
added functionality to find similar users and similar products
commit 12e6b6b3a2cbfa1baa29449396e7e85bed1dec56
Author: Steven Bourke <steve@stevens-imac.local>
Date: 2014-11-30T23:22:46Z
added unit test to make sure id isnt teh same
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