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Posted to dev@mahout.apache.org by "Sebastian Schelter (Updated) (JIRA)" <ji...@apache.org> on 2011/11/06 12:46:51 UTC
[jira] [Updated] (MAHOUT-737) Implicit Alternating Least Squares
SVD
[ https://issues.apache.org/jira/browse/MAHOUT-737?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sebastian Schelter updated MAHOUT-737:
--------------------------------------
Component/s: Collaborative Filtering
Affects Version/s: 0.6
Fix Version/s: (was: Backlog)
Issue Type: New Feature (was: Improvement)
> 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.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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