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https://issues.apache.org/jira/browse/MAHOUT-737?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13051851#comment-13051851
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Sebastian Schelter commented on MAHOUT-737:
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Is it an implementation of this paper http://research.yahoo.com/pub/2433 ? If
it is, it would be great to get it into Mahout!
AFAIK our current SVD recommenders don't work with implicit feedback (boolean
preferences in Mahout lingo) so we should be keen on getting that one in. Its
method is closely related to our existing ALS recommender as far as I recall
from reading the paper some months ago.
> 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
>
> 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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