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https://issues.apache.org/jira/browse/MAHOUT-925?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13168412#comment-13168412
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Sean Owen commented on MAHOUT-925:
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@Anatoliy how would the recommender decide a relevance threshold? That is a
priori knowledge not something the recommender can know. This seems orthogonal
to the other issues here. If you're OK with the computation as described I'll
commit and of course can iterate on it later.
@Ted that's probably true, though all the same I'm happy to add 3 lines of code
and 1 more field to the result to compute 'reach' as Anatoliy describes here.
It's very little additional code or complexity.
> Evaluate the reach of recommender algorithms
> --------------------------------------------
>
> Key: MAHOUT-925
> URL: https://issues.apache.org/jira/browse/MAHOUT-925
> Project: Mahout
> Issue Type: Improvement
> Components: Collaborative Filtering
> Affects Versions: 0.5
> Reporter: Anatoliy Kats
> Assignee: Sean Owen
> Priority: Minor
> Attachments: MAHOUT-925.patch, MAHOUT-925.patch
>
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> The evaluation of a CF algorithm should include reach, the proportion of
> users for whom a recommendation could be made. An algorithm usually has a
> cutoff value on the confidence of the recommender, and if it is not high
> enough, no recommendation is made. The number of requested recommendations,
> or this parameter could be varied as part of the evaluation. The proposed
> patch adds this.
> My build with this patch breaks
> testMapper(org.apache.mahout.classifier.df.mapreduce.partial.Step1MapperTest):
> org.apache.mahout.classifier.df.node.Leaf.<init>(I)V . The test seems
> unrelated to the patch, so I am assuming this is broken in the trunk head as
> well. Unfortunately I am under a deadline, and I do not have time to write
> tests for the patch.
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