[
https://issues.apache.org/jira/browse/MAHOUT-1089?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13695745#comment-13695745
]
Peng Cheng commented on MAHOUT-1089:
------------------------------------
Code is slick! But apparently there is no multi-threading yet.
The proposal for it has been there for a long time:
http://web.archiveorange.com/archive/v/z6zxQUSahofuPKEzZkzl
Is somebody working on its implementation?
apparently using hogwild or vanilla DSGD has no big impact on performance.
> 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,
> 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.
--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators
For more information on JIRA, see: http://www.atlassian.com/software/jira
