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https://issues.apache.org/jira/browse/MAHOUT-737?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13051863#comment-13051863
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Sebastian Schelter commented on MAHOUT-737:
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Do you think it would be possible to refactor this code to implement
org.apache.mahout.cf.taste.impl.recommender.svd.Factorizer ? That would be
great because then we could easily drop it into the existing (very lean)
SVDRecommender.
> Implicit Alternating Least Squares SVD
> --------------------------------------
>
> Key: MAHOUT-737
> URL: https://issues.apache.org/jira/browse/MAHOUT-737
> Project: Mahout
> Issue Type: Improvement
> Reporter: Tamas Jambor
> Attachments: 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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