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? Thanks, Nishant On Mon, Jan 25, 2010 at 10:34 PM, Sean Owen <[email protected]> wrote: > Yes, try LogLikelihoodSimilarity too. > > You can feed this similarity to GenericItemSimilarity to have it > precompute and store all possible similarities, yes: > http://lucene.apache.org/mahout/javadoc/core/org/apache/mahout/cf/taste/impl/similarity/GenericItemSimilarity.html#GenericItemSimilarity(org.apache.mahout.cf.taste.similarity.ItemSimilarity, > org.apache.mahout.cf.taste.model.DataModel) > > You can also just use CachingItemSimilarity around it to cache, rather > than precompute, which might be smarter. > > On Mon, Jan 25, 2010 at 3:35 PM, Nishant Chandra > <[email protected]> wrote: >> My query is regarding taste APIs. >> >> If I have binary dataset (i.e. preference is 0 or 1), are there models >> other than TanimotoCoefficient? >> >> Also, with the current implementation, is it possible to precompute >> TanimotoCoefficient similarities and feed it into >> ItemBasedRecommender? How? >> >> Thanks, >> Nishant >> > -- Nishant Chandra Hyderabad, India Cell : +91 9949828480
