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https://issues.apache.org/jira/browse/MAHOUT-341?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12850064#action_12850064
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Sean Owen commented on MAHOUT-341:
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You could use the output of this job as something like a co-occurrence matrix,
with modification. You would want to consider the following modifications:
- Right now, it just outputs item-item / float pairs as its output. It would
have to output item / user-vector pairs like the co-occurrence matrix in order
to use with the rest of the co-occurrence-based jobs.
- You probably don't want to output the average diff, though that would work
OK. Don't divide by 'count' in SlopeOneDiffsToAveragesReducer
But at that point, you're very close to outputting co-occurrence counts anyway!
So I'd advise you to just use the 'item' implementation anyway.
You're talking about ItemSimilarityEstimator -- that's not part of the
implementation I'm suggesting you use, in order to effectively use longs. Look
to the 'item' package.
> org.apache.mahout.cf.taste.hadoop.slopeone could have an off-line
> implementation
> --------------------------------------------------------------------------------
>
> Key: MAHOUT-341
> URL: https://issues.apache.org/jira/browse/MAHOUT-341
> Project: Mahout
> Issue Type: Improvement
> Components: Collaborative Filtering
> Affects Versions: 0.3
> Reporter: Hui Wen Han
> Priority: Minor
> Fix For: 0.4
>
>
> slopeone arithmetic using hadoop is not complete .
> can not use it do recommendation for dataset that has rating.
> hope to complete it and gave a full solution
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