Just a thought, when you say to combine the metrics by multiplying their, for example Sim1 = 0.9 and Sim2 = 0.2 When they are multiplied it would give a result of 0.18 which is very low, remembering that they are pretty "similar" based on Sim1 - how can this problem be tackled?
* Agata Filiana Erasmus Mundus DMKM Student 2011-2013 <http://www.em-dmkm.eu/> * On 16 April 2013 16:41, Agata Filiana <a.filian...@gmail.com> wrote: > Thanks a lot for the insight,very useful! > > > * > > Agata Filiana > Erasmus Mundus DMKM Student 2011-2013 <http://www.em-dmkm.eu/> > * > > > On 16 April 2013 16:40, Sean Owen <sro...@gmail.com> wrote: > >> Of course it's not meaningless. They provide a basis for ranking >> items, so you can return top-K recommendations. >> If it's normally based on similarity and ratings -- and you have no >> ratings -- similarity is of course the only thing you can base the >> result on. >> >> On Tue, Apr 16, 2013 at 3:36 PM, Agata Filiana <a.filian...@gmail.com> >> wrote: >> > Well right now, I am only using one boolean file -just from from this >> > history of reading. >> > So you are saying the values generated in >> > the GenericBooleanPrefUserBasedRecommender is actually useless in this >> case >> > of no ratings and that it is merely based on the similarity only? >> > >
