On Fri, Jul 10, 2009 at 2:45 PM, Thomas Rewig<[email protected]> wrote: > Because I precompute the Item-Similarity-Matrix with a UserBasedSimilarity > and that DB-Table: > || aItem || aItemCharacteristic || aItemValue || ... so
Oh I see, yes. > If I use a CachingItemSimilarity I must use a ItemSimilarity: > > aCorrelation = aItemSimilarity.itemSimilarity(item1, item2); > > This is in my example and my opinion the similarity between > aItemCharacteristic1 and aItemCharacteristic2 and this isn't interesting for > me. > So I must use the UserSimilarity objects and the UserBasedRecommender > although I would prefer the ItemBasedRecommender. OK so use CachingUserSimilarity then. There are versions for both. > Yes real-time is the dream :-) but I know this will be hard to reach. I > first will follow your hints and if the worst-case recommendation will no > longer be 80s I'm happy :-). Yes 80 seconds is not reasonable.
