I think Tamas referred to matrices that are symmetric (only the upper
triangular half would need to be stored) not diagonal matrices.


On 14.01.2012 05:25, Lance Norskog wrote:
> org.apache.mahout.math.DiagonalMatrix
> 
> It even supports sparse values in the diagonal!
> 
> On Fri, Jan 13, 2012 at 9:00 AM, Tamas Jambor (Commented) (JIRA)
> <[email protected]> wrote:
>>
>>    [ 
>> https://issues.apache.org/jira/browse/MAHOUT-737?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13185670#comment-13185670
>>  ]
>>
>> Tamas Jambor commented on MAHOUT-737:
>> -------------------------------------
>>
>> I think so. When will you be releasing 0.6? I am planning to do a bit more 
>> extensive testing in the next 2-3 weeks.
>>
>>> Implicit Alternating Least Squares SVD
>>> --------------------------------------
>>>
>>>                 Key: MAHOUT-737
>>>                 URL: https://issues.apache.org/jira/browse/MAHOUT-737
>>>             Project: Mahout
>>>          Issue Type: New Feature
>>>          Components: Collaborative Filtering
>>>    Affects Versions: 0.6
>>>            Reporter: Tamas Jambor
>>>            Assignee: Sebastian Schelter
>>>         Attachments: MAHOUT-737-2.patch, MAHOUT-737.patch, 
>>> MAHOUT-737.patch, MAHOUT-737.patch, MAHOUT-737.patch
>>>
>>>
>>> I am sharing this Java implementation of mine that is based on the paper - 
>>> Collaborative Filtering with Implicit Datasets. The implementation is 
>>> multi-treading and can be easily extended to use it on Hadoop. In fact this 
>>> approach would possibly work with non-implicit datasets, but further 
>>> testing is needed. The algorithm is tried and tested on an implicit 
>>> TV-viewing dataset, and the performance was pretty good (details to follow).
>>
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>>
> 
> 
> 

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