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https://issues.apache.org/jira/browse/MAHOUT-1089?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sebastian Schelter updated MAHOUT-1089:
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Attachment: MAHOUT-1089.patch
Here's my updated version of the patch. I made the factorizer use parallel
primitive arrays for caching and changed the shuffling to happen in every
iteration.
Zeno, can you have a look at the changes please? What parameters did you use
for the best results on movielens1M?
> SGD matrix factorization for rating prediction with user and item biases
> ------------------------------------------------------------------------
>
> Key: MAHOUT-1089
> URL: https://issues.apache.org/jira/browse/MAHOUT-1089
> Project: Mahout
> Issue Type: New Feature
> Components: Collaborative Filtering
> Reporter: Zeno Gantner
> Assignee: Sebastian Schelter
> Attachments: MAHOUT-1089.patch, RatingSGDFactorizer.java
>
>
> A matrix factorization that is trained with standard SGD on all features at
> the same time, in contrast to ExpectationMaximizationFactorizer, which learns
> feature by feature.
> Additionally to the free features it models a rating bias for each user and
> item.
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