D'oh! ..Why didn't I see that method before? Thanks Sean
> -----Original Message----- > From: Sean Owen [mailto:[email protected]] > Sent: 26 July 2011 14:42 > To: [email protected] > Subject: Re: Item based recommendations > > The problem you've described is actually simpler than the 'classic' > recommendation problem, which is personalized per user. > All you want is a list of most-similar items. That's a lot easier. You > could > easily roll your own by using an ItemSimilarity implementation and > iterating > over all items. No Recommender needed. > But actually the item-based recommender class has a > "mostSimilarItems()" > method which will just do it for you. > > On Tue, Jul 26, 2011 at 10:50 AM, Antony Corfield [awc] > <[email protected]>wrote: > > > I've been testing the Mahout Recommender software using a dataModel > derived > > from activity data generated by page views and downloads of items in > an > > open-access repository. The taste data has preferences based on the > number > > of times a user has viewed an item and I've also tested with boolean > > preferences (page viewed or not viewed). A user is identified by the > request > > IP address. > > > > I would like to base recommended items on the item being viewed > rather than > > the user but this doesn't seem possible even when using the Item > based > > recommender. Is this possible or have I missed the point? > > > > > > Thanks, > > Antony > > -- > > Antony Corfield > > Project developer > > AEIOU Project > > Tel. 01970 628724 > > http://aeiouproject.blogspot.com/ > > > >
