Yes, it goes by the name 'boolean prefs' in the project since target variables don't have values -- they just exist or don't. So, yes it's certainly supported but the question here is how to evaluate the output.
On Mon, May 6, 2013 at 8:29 PM, Tevfik Aytekin <tevfik.ayte...@gmail.com> wrote: > This problem is called one-class classification problem. In the domain > of collaborative filtering it is called one-class collaborative > filtering (since what you have are only positive preferences). You may > search the web with these key words to find papers providing > solutions. I'm not sure whether Mahout has algorithms for one-class > collaborative filtering. > > On Mon, May 6, 2013 at 1:42 PM, Sean Owen <sro...@gmail.com> wrote: >> ALS-WR weights the error on each term differently, so the average >> error doesn't really have meaning here, even if you are comparing the >> difference with "1". I think you will need to fall back to mean >> average precision or something. >> >> On Mon, May 6, 2013 at 11:24 AM, William <icswilliam2...@gmail.com> wrote: >>> Sean Owen <srowen <at> gmail.com> writes: >>> >>>> >>>> If you have no ratings, how are you using RMSE? this typically >>>> measures error in reconstructing ratings. >>>> I think you are probably measuring something meaningless. >>>> >>> >>> >>> I suppose the rate of seen movies are 1. Is it right? >>> If I use Collaborative Filtering with ALS-WR to get some recommendations, I >>> must have a real rating-matrix? >>> >>> >>>
