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https://issues.apache.org/jira/browse/MAHOUT-974?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13677975#comment-13677975
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Sebastian Schelter commented on MAHOUT-974:
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Saikat,
I've had a deeper look and I think I'll take this issue. It's an ugly thing and
lots of small places in the code need to be updated... Nothing fancy for
someone not deeply familiar with the codebase.
If you still wanna work on the ALS code, we should discuss this on the
mailinglist. I have a few ideas what could be added for upcoming releases.
> org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use
> integer as userId and itemId
> ---------------------------------------------------------------------------------------------------
>
> Key: MAHOUT-974
> URL: https://issues.apache.org/jira/browse/MAHOUT-974
> Project: Mahout
> Issue Type: Wish
> Components: Collaborative Filtering
> Affects Versions: 0.8
> Reporter: Han Hui Wen
> Assignee: Sebastian Schelter
> Labels: CF,recommendation,als
> Fix For: 0.8
>
> Original Estimate: 2h
> Remaining Estimate: 2h
>
> org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob uses
> integer as userId and itemId,but
> org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob and
> org.apache.mahout.cf.taste.hadoop.item.RecommenderJob .use Long as userId and
> ItemId.
> It's best that ParallelALSFactorizationJob also uses Long as userId and
> itemId ,so that same dataset can use all the recommendation arithrmetic
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