[
https://issues.apache.org/jira/browse/MAHOUT-1106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13560644#comment-13560644
]
Agnonchik edited comment on MAHOUT-1106 at 1/23/13 12:40 PM:
-------------------------------------------------------------
Sean, do you think it would be fair to extend implicit feedback to the
validation and test datasets as well? So that
R=training_dataset_with_ratings,
N=training_dataset_without_ratings+validation_dataset_without_ratings+test_dataset_without
ratings.
Or it's a kind of cheating?
was (Author: agnonchik):
Sean, do you think it would be fair to extend implicit feedback to the
validation and test datasets as well? So that
R=training_dataset_with_ratings, \\ explicit part
N=training_dataset_without_ratings+validation_dataset_without_ratings+test_dataset_without
ratings. \\ implicit part
Or it's a kind of cheating?
> 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
