Mahout's ParallelALSFactorizationJob offers a distributed matrix factorization for computing recommendations. The current implementation is only suited for explicit feedback data (ratings) unfortunately.
The majority of usecases has to work with implicit feedback however. The paper "Collaborative Filtering for Implicit Feedback Datasets" http://research.yahoo.com/pub/2433 describes a closely related approach that is aimed at implicit feedback data and should easily be integratable into the current ParallelALSJob.
|Status||Resolved [ 5 ]||Closed [ 6 ]|
|Status||Open [ 1 ]||Resolved [ 5 ]|
|Fix Version/s||0.6 [ 12316364 ]|
|Resolution||Fixed [ 1 ]|