Java – Weka vs mahout recommendation engine

I look forward to proposing a collaborative filtering solution I am very satisfied with Java and found that Weka or mahout can be used to build recommendation engines I haven't built one before, so which is the best place to start?

Solution

Both should work well

Deciding which to use may depend largely on the other infrastructure / tools you plan to use: for example, mahout may be better suited if you use Hadoop If you are doing memory analysis, Weka may be more comprehensive and mature