Hello, On 03.04.2009, at 16:59, Sean Owen wrote:
As a benchmark I ran the 10 million rating GroupLens data set, on a high CPU extra large instance. It generated recommendations for all 71K users in about 10 hours, costing a bit more than $8. That is a kind of worst case; you can recommend for only a subset of users or trade some accuracy forspeed.
Thanks for that benachmark data! Does taste make use of all of the cores and memory in the extra big instance?
Cheers, Markus
