I dont know details about GenericItemBasedRecommender to say it can be used for doing association rules. Parallel FP-Growth can generate Frequent Patterns very fast and scales well on large sized data. Association Rules generation is not yet implemented. But with some ingenuity you can create them from the generated frequent patterns.
On Wed, Apr 14, 2010 at 7:50 PM, Sebastian Feher <sfe...@crossview.com>wrote: > Hi All, > > I'm looking at extracting association rules with Mahout. If I understand it > correctly, both GenericItemBasedRecommender.mostSimilarItems() and Parallel > FP-Growth seem to provide support for doing that. Is this true? If not what > are the major differences between the two (including scalability, > performance)? Thanks. > > Sebastian
