Hello, I am exploring the collaborative filtering algorithms in Mahout to build a recommendation engine.
I had recently gone for a Big Data conference where the speakers suggested that using Mahout is overkill for anything that doesn't have some terabytes of training data. I tried to google some cases on that, but no help, so turned to this thread. Would you suggest me using Mahout in my case when the training data might not be in terabytes, but some gigabytes, perhaps few 100s of megabytes? If not, do you suggest any other approach? Thank you. -- Best Regards, Jayesh
