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 <[email protected]> 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. >
