It could vary a lot. How many users? items? which similarity metric? But, that's fairly small. I'd be surprised if you couldn't do recommendations in under 100ms per request per core.
2010/8/29 Young <[email protected]>: > Hi all, > > Based on 1M dataset, about how many requests could be expected to be handled > at a time when using item-based recommender if the engine runs on a Core2 > 2.4G CPU and 4G meomory. > > Thank you very much. > > -- Young > >
