[jira] [Commented] (MAHOUT-1567) Add online sparse dictionary learning

["Ted Dunning (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-1567?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14014782#comment-14014782 ] 

Ted Dunning commented on MAHOUT-1567:
-------------------------------------

Maciej,

Can you say a bit more about this?  I think that people might be used here by the use of the word dictionary.

I think that you mean dictionary in the sense of sparse coding, whcih is a common first step for deep learning as opposed to building a lookup table for converting strings to integers.

Is this correct?



> Add online sparse dictionary learning
> -------------------------------------
>
>                 Key: MAHOUT-1567
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1567
>             Project: Mahout
>          Issue Type: Improvement
>          Components: Collaborative Filtering
>            Reporter: Maciej Kula
>
> I have recently implemented a sparse online dictionary learning algorithm, with an emphasis on learning very high-dimensional and very sparse dictionaries. It is based on J. Mairal et al 'Online Dictionary Learning for Sparse Coding' (http://www.di.ens.fr/willow/pdfs/icml09.pdf). It's an online variant of low-rank matrix factorization, suitable for sparse binary matrices (such as implicit feedback matrices).
> I would be very happy to bring this up to the Mahout standard and contribute to the main codebase --- is this something you would in principle be interested in having?
> The code (as well as some examples) are here: https://github.com/maciejkula/dictionarylearning



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