(Josh and I had spoken separately.)
I think he's interested in perhaps learning those similarities, indeed.
As a rough-and-ready start, I'd suggested pure collaborative filtering based
on user and item associations only. Later, you can work in user-user
similarity, learned elsewhere, to improve th
I actually disagree with that statement. While Mahout is built on Hadoop,
distributed computing is not a factor in whether or not you can model your data.
Josh, it sounds like you already know a fair bit about your users. In that
case, why not leverage your demographic data to group them yoursel
Hi,
I think the core issue is not how this engine work, but whether mahout
fits your data size.
Mahout is built on hadoop, which digest big data.
If your data size is not that huge or incompatible with mapreduce model,
it may not be a good idea.
Regards.
Roger
2011/8/4 Josh Dul
Hello,
I have some familiarity with machine learning (in an academic setting) but
am looking for some assistance on which Mahout algorithms would be suit my
needs.
I am doing consumer behavior research at a web-marketing startup, where we
generate a decent amount of data. We track behavioral data
