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Posted to dev@mahout.apache.org by "Sebastian Schelter (JIRA)" <ji...@apache.org> on 2013/06/01 19:15:20 UTC
[jira] [Commented] (MAHOUT-974)
org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use
integer as userId and itemId
[ https://issues.apache.org/jira/browse/MAHOUT-974?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13672163#comment-13672163 ]
Sebastian Schelter commented on MAHOUT-974:
-------------------------------------------
Saikat, are you still on this?
> 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
> 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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