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From Sebastian Schelter <...@apache.org>
Subject Re: Boolean recommendations
Date Sun, 06 Mar 2011 21:23:38 GMT
Hi Mark,

you can precompute the item-similarities on Hadoop using 
ItemSimilarityJob and load them via FileItemSimilarity into your 
recommender afterwards. You can also try out different implementations 
of CandidateItemsStrategy with your recommender.

--sebastian

On 06.03.2011 22:17, Mark wrote:
> I have about 20 million boolean preferences and I am trying to suggest 
> some recommendations using a GenericBooleanPrefItemBasedRecommender 
> with a LogLikelihoodSimilarity. The results that are returned aren't 
> terrible, however it takes up to a minute for each recommendation.
>
> Unique users: ~ 600k
> Unique items: ~ 15m
>
> Is there anything I can do to speed this up? Thanks


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