I've continued working on this.  Everything appears to return correctly,
but in doing some debugging by using it in my own application I'm seeing
some performance issues.

Specifically when I run it as the data model as part of
a KnnItemBasedRecommender the results are taking on the order of hours for
a single recommendation to come back.  I've looked at the Caching to see if
I could the problem there (and have even primed the cache with every
user/item) and the performance is still atrocious.

I had originally modeled this after the CassandraDataModel and it doesn't
seem that once the cache is primed that this has anything to do with
accessing the data in DynamoDB.  Are KnnItemBasedRecommenders generally
slow for something like this?  I used to run this off of a flat file and
never had performance problems.

Thanks.

Nick

On Thu, Feb 9, 2012 at 9:05 AM, Sean Owen (Commented) (JIRA) <
[email protected]> wrote:

>
>    [
> https://issues.apache.org/jira/browse/MAHOUT-972?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13204538#comment-13204538]
>
> Sean Owen commented on MAHOUT-972:
> ----------------------------------
>
> Ok, good start. This will go in integration/ and it will need to refer to
> Amazon libs in pom.xml. When done you'll want to add copyright headers and
> standardize the format and all that, but that's a detail. Ping when you've
> got something you feel is committable.
>
> > Implement Taste DynamoDBDataModel
> > ---------------------------------
> >
> >                 Key: MAHOUT-972
> >                 URL: https://issues.apache.org/jira/browse/MAHOUT-972
> >             Project: Mahout
> >          Issue Type: Improvement
> >          Components: Collaborative Filtering
> >    Affects Versions: 0.6
> >            Reporter: Nick Jordan
> >            Priority: Minor
> >              Labels: datamodel
> >         Attachments: DynamoDBDataModel.java
> >
> >   Original Estimate: 504h
> >  Remaining Estimate: 504h
> >
> > Implement Amazon's DynamoDB as a data model to be used for collaborative
> filtering Taste models.
> > I've actually begun work on this, but have never submitted to an ASF
> project before.  I'll submit the patch when I've done enough testing that I
> think it is ready.  If anyone has any hints/tips that will make the
> patch/submission process easier I'd be happy to hear them.
>
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