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https://issues.apache.org/jira/browse/MAHOUT-1106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13560094#comment-13560094
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Agnonchik edited comment on MAHOUT-1106 at 1/23/13 7:44 AM:
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1. I compared the accuracy of biased SVD and SVD++ factorizers on the 1M
MovieLens dataset and found no significant difference. Seems that both methods
end up with the same RMSE but SVD++ is much slower. There should be some
datasets on which SVD++ shines. What are those cases?
2. Do you think it would be natural to extend functionality of SVD++ to the
case when the implicit feedback is wider than the explicit? I'm asking because
a subset of items evaluated by a user implicitly quite often exceeds the rated
items (N(u) and R(u) in Yehuda Koren's notations).
Thanks!
was (Author: agnonchik):
1. I compared the accuracy of biased SVD and SVD++ factorizers on the 1M
MovieLens dataset and found no significant difference. Seems that both methods
end up with the same RMSE and SVD++ is much more slower. There should be some
datasets on which SVD++ shines. What are those cases?
2. Do you think it would be natural to extend functionality of SVD++ to the
case when the implicit feedback is wider than the explicit? I'm asking because
a subset of items evaluated by a user implicitly quite often exceeds the rated
items (N(u) and R(u) in Yehuda Koren's notations).
> 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
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