>> So my doubt is do we have a distributed SVDRecommender implementation? If >> not, how should i go about writing one?
The algorithm in MAHOUT-542 performs a distributed matrix factorization that shall be used for recommendations one day. However it is in a very early stage and it has not even been verified yet that the implementation is working correctly. If you wanna help with it that would be great. Can I use the new LanczosSolver to >> achieve this? The paper "Large-scale Parallel Collaborative Filtering for the Netflix Prize" says that you can't use Lanczos to factorize a rating matrix as it is only partially specified. However someone with more mathematical expertise than me should validate that statement, hope I didn't get that wrong :) Ted is working on LatentFactorLogLinear models in MAHOUT-525 which can be used for recommendations too and should be superior to the approach of MAHOUT-542. They're not distributed but in the paper in which they are described the authors state that they could train the 1M Movielens Dataset in 7 minutes so they should be fast enough for your testcase. --sebastian >> >> Thanks, >> Sanjib >> >
