Hi Guys,I have been researching the various algorithms in mahout for my usecase and am reading through various papers as well as code, I was wondering if it might be a good idea to have like a chart that outlines each of the algorithms and typical use cases of when one uses that algorithm, this would allow users to quickly get a sample implementation up and running. I would be glad to help with this if folks find this helpful. My use case involves building a set of algorithms that takes in training data surrounding a set of variables each of which contains/contributes a percentage weight and then classifies users into buckets, we can then provide a list of items appropriate for those users based on running item similarity algorithms in that bucket.
Best Regards
