Hi, I would like to know how I can deal with multiple preference values for the same (user, item)-pair from a machine learning perspective? That means, I have got more than one rating from a user u for an item i available. Of course using any kind of average (maybe also taking date information into account, e.g. by using a weighted/exponential moving average) would be possible.
I am interested in if any more sophisticated methods are used. Probably it would already be very helpful to know which term to look/search for or have some papers on that topic. As far a I noticed Mahout would always just take the newest preference value. Is that correct? Thanks a lot, Dominik
