Well you'd use it with an algorithm that needs an ItemSimilarity, and those are item-based recommenders like GenericItemBasedRecommender.
You also need to supply a DataModel since it is needed for reading ratings and such. It will not be used to compute item-item similarity since you are supplying and implementation that reads those from disk. On Sun, Mar 13, 2011 at 5:45 AM, Mark <[email protected]> wrote: > I've just created some precomputed item-similarities using ItemSimilarityJob > (LogLikelihoodSimilarity w/ boolean prefs). My understanding is that I can > create a similarity class using FileItemSimilarity but what recommender > should I be using with this? All the recommenders that I know of take a > DataModel and it seems kind of redundant to create a FileDataModel using the > same precomputed item-similarities. > > Can someone please explain to me how to use precomputed similarities? Also > what are some other similarities/recommendations I can precompute ahead of > time? > > Thanks >
