Non-distributed implementation of ALS-WR matrix factorization
-------------------------------------------------------------

                 Key: MAHOUT-572
                 URL: https://issues.apache.org/jira/browse/MAHOUT-572
             Project: Mahout
          Issue Type: New Feature
          Components: Collaborative Filtering
    Affects Versions: 0.5
            Reporter: Sebastian Schelter


I created a non-distributed implementation of the algorithm described in 
"Large-scale Parallel Collaborative Filtering for the Netflix Prize" available 
at 
http://www.hpl.hp.com/personal/Robert_Schreiber/papers/2008%20AAIM%20Netflix/netflix_aaim08(submitted).pdf.

This gives more choice for users that need an online SVD Recommender and might 
be a useful starting point to implementing code that automatically finds a 
near-optimal regularization parameter for the distributed version of the 
algorithm in MAHOUT-542.

Along with the patch goes a refactoring and polishing of the SVD Recommender 
code that separates the factorization computation from the Recommender 
implementation. This way it should easily be possible to try out different 
factorization approaches with our SVDRecommender.


-- 
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.

Reply via email to