What else would you like to know? I think the javadoc says everything to say about the implementation. If you want to know more about the calculation, try wikipedia.
You can do what you say, but you'd have to code this yourself. It's not hard at all. I'd still maybe suggest you let the implementation intelligently store similarities by caching rather than precomputing -- maybe more effective -- but up to you. On Mon, Jan 25, 2010 at 5:39 PM, Nishant Chandra <[email protected]> wrote: > Is there any documentation on LogLikelihoodSimilarity other than what > is mentioned in the javadoc? I am unable to download the paper. > > The way I was thinking was to precompute the similarities and dump it > in a file. And then let the GenericItemSimilarity read from this file. > This was I can seperate the calculation and refresh recommender once I > have a new set of calculated similarities. Any suggestions?
