Not really directly, no. You can make N individual recommendations and combine them, and there are many ways to do that. You can blindly rank them on their absolute scores. You can interleave rankings so each gets every Nth slot in the recommendation. A popular metric is to rank by least-aversion -- the best recommendation one is the one most acceptable to the person who will like it least in the group. You're minimizing maximum unhappiness: often how it works in groups!
On Wed, Jan 16, 2013 at 4:56 PM, Zia mel <ziad.kame...@gmail.com> wrote: > Hi > > Can we use Mahout to recommend to a group of users that share similar > interests? Maybe some clustering or so. > > Thanks
