Thanks Sean Owen, is it any class available with mahout for doing this stuff?
On Sun, Mar 11, 2012 at 6:07 PM, Sean Owen <[email protected]> wrote: > This isn't a recommender problem -- it's simpler. It sounds like you > just want to count the most frequently occurring items, and pairs of > items. That's just a question of counting. > > On Sun, Mar 11, 2012 at 12:32 PM, mahout user <[email protected]> > wrote: > > Hello group, > > > > I am new to mahout..I am developing recommender with the help of > > itemsimilarity.but i am confused for generating popular items among > > them.which algorithm will calculate top popular items and frequently > > bought together items from transactional record for the purpose of > > displaying the recommended items to the users. > > > > if my sample dataset structure is given below. > > > > Dataset : > > > > UserId,#ItemId,#Preference > > > > thanks > > kjon ynos >
