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https://issues.apache.org/jira/browse/MAHOUT-341?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated MAHOUT-341:
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Priority: Minor (was: Major)
Summary: org.apache.mahout.cf.taste.hadoop.slopeone could have an off-line
implementation (was: org.apache.mahout.cf.taste.hadoop.slopeone is not
complete)
It is not advertised as a complete recommender -- it is what it says. It does
the precomputation phase for slope-one, and produces diffs. It is used as input
to the on-line slope-one recommender.
You can use the 'pseudo-distributed' Hadoop recommender to run these slope-one
recommenders on Hadoop, on top of the diffs computed by this Hadoop job. That's
fairly complete.
You could write a new special-purpose Hadoop-based job to finish the
recommender computation too. It could be even better. If you mean you'd like to
implement that I can leave this open to track this.
> 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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