You are viewing a plain text version of this content. The canonical link for it is here.

Posted to dev@mahout.apache.org by "Zeno Gantner (JIRA)" <ji...@apache.org> on 2012/12/01 17:17:58 UTC

[jira] [Commented] (MAHOUT-1106) SVD++

    [ https://issues.apache.org/jira/browse/MAHOUT-1106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13507995#comment-13507995 ] 

Zeno Gantner commented on MAHOUT-1106:
--------------------------------------

I agree with Sean. Implicit feedback is 99%.

Only for those cases where you have explicit ratings (or thumbs up/down), you would use SVD++.

                
> SVD++
> -----
>
>                 Key: MAHOUT-1106
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1106
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Collaborative Filtering
>            Reporter: Zeno Gantner
>            Assignee: Sebastian Schelter
>         Attachments: SVDPlusPlusFactorizer.java
>
>
> Initial shot at SVD++.
> Relies on the RatingsSGDFactorizer class introduced in MAHOUT-1089.
> One could also think about several enhancements, e.g. having separate regularization constants for user and item factors.
> I am also the author of the SVDPlusPlus class in MyMediaLite, so if there are any similarities, no need to worry -- I am okay with relicensing this to the Apache 2.0 license.
> https://github.com/zenogantner/MyMediaLite/blob/master/src/MyMediaLite/RatingPrediction/SVDPlusPlus.cs

--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators
For more information on JIRA, see: http://www.atlassian.com/software/jira