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https://issues.apache.org/jira/browse/MAHOUT-432?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated MAHOUT-432:
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Assignee: Sean Owen
Priority: Minor (was: Major)
Hmm, I'm not convinced this is worth the complexity. The input should already
be 'cleaned' in this regard. It could be difficult to implement pruning at this
level for all algorithms. I'll leave it open but not entirely sure how to
really implement this.
> Can add one parameter --itemsFile for
> org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
> --------------------------------------------------------------------------------------------
>
> Key: MAHOUT-432
> URL: https://issues.apache.org/jira/browse/MAHOUT-432
> Project: Mahout
> Issue Type: New Feature
> Components: Collaborative Filtering
> Affects Versions: 0.4
> Reporter: Hui Wen Han
> Assignee: Sean Owen
> Priority: Minor
> Fix For: 0.4
>
>
> Can add one parameter --itemsFile for
> org.apache.mahout.cf.taste.hadoop.item.RecommenderJob ?
> --itemsFile some likes the the --usersFile.
> in some case, we want to calculate similarity using all preferences data ,
> but some item in preferences are old ,not available,behind the times or
> retired ,
> we want that those data can not recommend to users, can only recommend user
> with new or valid items.
> so we can add on paramete --itemsFile for RecommenderJob, itemsFile includes
> all the new valid items.
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