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From Kumar Kandasami <>
Subject Re: Request - Release 0.6 feature set listing
Date Mon, 20 Jun 2011 19:50:17 GMT
Hello Sebastian:

   I was going over the ALS-WR paper (by Yunhong Zhou, Dennis Wilkinson,
Robert Schreiber and Rong Pan- HP Labs on Netflix dataset)  this weekend,
and I am still trying to understand the algorithm.

I am currently working on running item based recommender on the Wikipedia
link dataset (boolean preferences) on EC2 clusters.I am interested in
testing the ALS recommender, however, at this point I have no clear
understanding of what user/item features mean,  and even determining the
iterations as well as numoffeatures attribute upfront.

Is there any documentation or overview on the usage of  the Mahout ALS
implementation ?

Additionally, it will save us lot of time, if you could forward any
reference tutorial or video presentation links (similar to Item-similarity
Job on vimeo) on RecommenderJob or ALS

Kumar    _/|\_
"making a profound difference with knowledge and creativity..."

On Thu, Jun 16, 2011 at 11:48 AM, Sebastian Schelter <> wrote:

> Hello Kumar,
> Check the Mahout JIRA for features planned for 0.6 at
> It would be great if you could test the distributed ALS recommender that
> uses matrix factorization. If you wanna dive into that I'm sure we'd find a
> lot of things you could improve.
> Check it's original jira issue as a starting point:
> If you want something small to work, you can check
> Does that match what you expected? If you have any ideas yourself, feel
> free to share them with us.
> --sebastian
> On 16.06.2011 18:06, Kumar Kandasami wrote:
>> Hi !
>> Could anyone point to a link that outlines the features expected in the
>> mahout 0.6 release ? Specifically distributed recommendation engines.
>> Also, I am currently using/working on the distributed recommendation
>> engines
>> on EC2 clusters - is there a way that I could contribute any code that
>> would
>> be in the 0.6 or future road map.
>> Thank you.
>> Kumar    _/|\_

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