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https://issues.apache.org/jira/browse/MAHOUT-572?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sebastian Schelter updated MAHOUT-572:
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Attachment: MAHOUT-572.patch
> Non-distributed implementation of ALS-WR matrix factorization
> -------------------------------------------------------------
>
> Key: MAHOUT-572
> URL: https://issues.apache.org/jira/browse/MAHOUT-572
> Project: Mahout
> Issue Type: New Feature
> Components: Collaborative Filtering
> Affects Versions: 0.5
> Reporter: Sebastian Schelter
> Fix For: 0.5
>
> Attachments: MAHOUT-572.patch
>
>
> I created a non-distributed implementation of the algorithm described in
> "Large-scale Parallel Collaborative Filtering for the Netflix Prize" available
> at
> http://www.hpl.hp.com/personal/Robert_Schreiber/papers/2008%20AAIM%20Netflix/netflix_aaim08(submitted).pdf.
> This gives more choice for users that need an online SVD Recommender and
> might be a useful starting point to implementing code that automatically
> finds a near-optimal regularization parameter for the distributed version of
> the algorithm in MAHOUT-542.
> Along with the patch goes a refactoring and polishing of the SVD Recommender
> code that separates the factorization computation from the Recommender
> implementation. This way it should easily be possible to try out different
> factorization approaches with our SVDRecommender.
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