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Posted to dev@mahout.apache.org by "Han Hui Wen (Created) (JIRA)" <ji...@apache.org> on 2012/02/07 08:43:00 UTC
[jira] [Created] (MAHOUT-974)
org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use
integer as userId and itemId
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: 0.6
Reporter: Han Hui Wen
Assignee: Sean Owen
Fix For: 0.7
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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[jira] [Commented] (MAHOUT-974)
org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use
integer as userId and itemId
Posted by "Sebastian Schelter (Commented) (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/MAHOUT-974?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13202195#comment-13202195 ]
Sebastian Schelter commented on MAHOUT-974:
-------------------------------------------
You are right. The item ID indexing (from longs to ints) that already exists in org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob should be built into ParallelALSFactorizationJob too.
> 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: 0.6
> Reporter: Han Hui Wen
> Assignee: Sean Owen
> Labels: CF,recommendation,als
> Fix For: 0.7
>
> 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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[jira] [Commented] (MAHOUT-974)
org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use
integer as userId and itemId
Posted by "Han Hui Wen (Commented) (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/MAHOUT-974?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13215327#comment-13215327 ]
Han Hui Wen commented on MAHOUT-974:
-------------------------------------
org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob just indexed itemId ,but not index userId.it also converts user preferences into a vector per user and builds the rating matrix.
> 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: 0.6
> Reporter: Han Hui Wen
> Assignee: Sean Owen
> Labels: CF,recommendation,als
> Fix For: 0.7
>
> 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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[jira] [Updated] (MAHOUT-974)
org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use
integer as userId and itemId
Posted by "Sean Owen (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/MAHOUT-974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated MAHOUT-974:
-----------------------------
Fix Version/s: (was: 0.7)
Assignee: Sebastian Schelter (was: Sean Owen)
> 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: 0.6
> 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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