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https://issues.apache.org/jira/browse/MAHOUT-432?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12884306#action_12884306
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Sebastian Schelter commented on MAHOUT-432:
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I can see the use of having this for example when your application domain is
ecommerce where products might be out of stock for some days and you don't want
to recommend them then. A possible (but not ideal) solution could be to just
compute double as much recommended items as you need and then filter out the
ones that are not available afterwards, would that work for you, Hui?
> 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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