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From Sean Owen <>
Subject Re: Recommendation Algorithms
Date Fri, 09 Jul 2010 08:22:27 GMT
Yes this is simpler than a recommendation problem. You probably want
to use LogLikelihoodSimilarity with GenericItemBasedRecommender and
call mostSimilarItems(). The input will just be user ID / item ID
pairs, one for each click, with no preference value.

On Fri, Jul 9, 2010 at 12:57 AM, Pradeep Pujari <> wrote:
> Hi,
> Recommendation Algorithms: Can it be used for a case like, people who viewed
> this item also viewed these other items? I read the taste recommendation
> framework which talks about collaborative filtering. Looks to me this above
> use case is not a collaborative filtering subject. We know the click data
> and math lib can able to help. Please advise.
> Thanks,
> Pradeep.

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