[
https://issues.apache.org/jira/browse/MAHOUT-737?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13051850#comment-13051850
]
Tamas Jambor commented on MAHOUT-737:
-------------------------------------
(sorry, patch is coming in a minute.)
this SVD is quite different from the previous one, as this one fills up the
missing data-points and solves it on the whole matrix, designed for implicit
datasets.
> 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).
--
This message is automatically generated by JIRA.
For more information on JIRA, see: http://www.atlassian.com/software/jira
