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https://issues.apache.org/jira/browse/MAHOUT-737?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13187102#comment-13187102
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Tamas Jambor commented on MAHOUT-737:
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I managed to make it work properly now.
Changed the way the decomposition is calculated. Replaced the diagonal matrices
and implemented a simple way to calculate confidence so that it is not
minimising on the zeros. I think it is safe to commit it now.
By the way, in theory this should run with non-implicit data, anyone wants to
give it a try?
> Implicit Alternating Least Squares SVD
> --------------------------------------
>
> Key: MAHOUT-737
> URL: https://issues.apache.org/jira/browse/MAHOUT-737
> Project: Mahout
> Issue Type: New Feature
> Components: Collaborative Filtering
> Affects Versions: 0.6
> Reporter: Tamas Jambor
> Assignee: Sebastian Schelter
> Attachments: MAHOUT-737-2.patch, MAHOUT-737.patch, MAHOUT-737.patch,
> MAHOUT-737.patch, MAHOUT-737.patch
>
>
> I am sharing this Java implementation of mine that is based on the paper -
> Collaborative Filtering with Implicit Datasets. The implementation is
> multi-treading and can be easily extended to use it on Hadoop. In fact this
> approach would possibly work with non-implicit datasets, but further testing
> is needed. The algorithm is tried and tested on an implicit TV-viewing
> dataset, and the performance was pretty good (details to follow).
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