Thanks for your reply Sebastian, One more question: What about SVD++, isn't it different from using ALSWRFactorizer with usesImplicitFeedback = true.
On Thu, Jan 9, 2014 at 3:04 PM, Sebastian Schelter <[email protected]> wrote: > I would recommend to try an item-based recommender with loglikelihood > ratio as similarity measure or an SVDRecommender with an ALSWRFactorizer > with usesImplicitFeedback = true > > --sebastian > > > On 01/09/2014 01:57 PM, Mario Levitin wrote: > >> Hi, >> In my dataset there are no ratings. There is information only about which >> users rented which movies. >> I think SVD is not suitable in this case. What about SVD++? I heard that >> it >> can be used with this kind of data. Are there any other alternatives >> (other >> than neighborhood based ones)? >> >> Thanks >> mario >> >> >
