Thanks Dmitriy, Is anyone working on an open source version of RLFM?
For the moment, I have few enough classes of users that I can just build multiple recommenders. For example, one for men and one for women. What about adaptive on-line algorithms? Just like Agarwal's Yahoo research my items may rise and fall in popularity over time. In fact, time may be more important than user preferences in my application. Do I just rebuild every day with a window of recent data, or does Mahout have something better? On Sat, Sep 13, 2014 at 12:26 PM, Dmitriy Lyubimov <[email protected]> wrote: > Afaik mahout doesnt have these algorthms. Agarwal's RLFM is one of the more > promising while sitll simple enough things to implement at scale that does > that. > On Sep 13, 2014 9:07 AM, "Peter Wolf" <[email protected]> wrote: > > > Hello, I am new to Mahout but not ML in general > > > > I want to create a Recommender that combines things I know about Users > with > > their Ratings. > > > > For example, perhaps I know the sex, age and nationality of my users. > I'd > > like to use that information to improve the recommendations. > > > > How is this information represented in the Mahout API? I have not been > > able to find any documentation or examples about this. > > > > Thanks > > Peter > > >
