(This is all not Hadoop-based, I presume.) It varies from implementation to implementation; some implementations have a lot of precomputation at startup and some don't. Most do a fair bit of caching so they respond slowly and then more quickly as the caches fill.
Anything's possible, but this is not a common way to use these, no. On Sun, Jan 29, 2012 at 7:26 PM, Bill Liang <[email protected]> wrote: > > Hi all, > I'm considering dynamically instantiating multiple recommenders on the > fly. If I want to create 10 recommenders from previously trained models, > and then get recommendation from each of them, is that a practical thing to > do? in other words, is it going to take too long beyond what average user > is willing to wait for? I know it can be easily tested, I just want to hear > from other people's experience. > Thanks,Bill
