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https://issues.apache.org/jira/browse/MAHOUT-432?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12884371#action_12884371
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Tolga Oral commented on MAHOUT-432:
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Hi Sean;
This feature is available on the non-distributed algo's vi IDRescorer, its
pretty powerfull to be skipped over for the distributed version.
I havent had a chance to look at the implementation of distributed recommender,
however reading the Mahout In Action, it seems like another map/reduce task
might do the job.
Conceptually additional step would generate an identity matrix where all items
except the ones you are able to recommend will have 0 at their index. Also same
matrix can be used to boost recommendations like the rescore() method when
value of the identity matrix is not 1 but a different scalar multiplier.
What do you think Sean, would this work? We can look at how to implement it if
sounds like a possible solution to you?
> 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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