[jira] [Commented] (MAHOUT-1272) Parallel SGD matrix factorizer for SVDrecommender

["Sebastian Schelter (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-1272?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13695784#comment-13695784 ] 

Sebastian Schelter commented on MAHOUT-1272:
--------------------------------------------

Are refering to a single-machine multi-core implementation or a MapReduce implementation? 
                
> Parallel SGD matrix factorizer for SVDrecommender
> -------------------------------------------------
>
>                 Key: MAHOUT-1272
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1272
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Collaborative Filtering
>            Reporter: Peng Cheng
>            Assignee: Sean Owen
>   Original Estimate: 336h
>  Remaining Estimate: 336h
>
> a parallel factorizer based on MAHOUT-1089 may achieve better performance on multicore processor.
> existing code is single-thread and perhaps may still be outperformed by the default ALS-WR.
> In addition, its hardcoded online-to-batch-conversion prevents it to be used by an online recommender. An online SGD implementation may help build high-performance online recommender as a replacement of the outdated slope-one.
> The new factorizer can implement either DSGD (http://www.mpi-inf.mpg.de/~rgemulla/publications/gemulla11dsgd.pdf) or hogwild! (www.cs.wisc.edu/~brecht/papers/hogwildTR.pdf).
> Related discussion has been carried on for a while but remain inconclusive:
> http://web.archiveorange.com/archive/v/z6zxQUSahofuPKEzZkzl

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