That is, the predicted scores that the Recommender returns can not just be multiplied by two, but may be completely wrong? I can not, say, just divide the predictions by 2 and pretend that everything is fine?
2017-12-18 21:35 GMT+03:00 Pat Ferrel <p...@occamsmachete.com>: > The UR and the Recommendations Template use very different technology > underneath. > > In general the scores you get from recommenders are meaningless on their > own. When using ratings as numerical values with a ”Matrix Factorization” > recommender like the ones in MLlib, upon which the Recommendations Template > is based need to have a regularization parameter. I don’t know for sure but > maybe this is why the results don’t come in the range of input ratings. I > haven’t looked at the code in a long while. > > If you are asking about the UR it would not take numeric ratings and the > scores cannot be compared to them. > > For many reasons that I have written about before I always warn people > about using ratings, which have been discontinued as a source of input for > Netflix (who have removed them from their UX) and many other top > recommender users. There are many reasons for this, not the least of which > is that they are ambiguous and don’t directly relate to whether a user > might like an item. For instance most video sources now use something like > the length of time a user watches a video, and review sites prefer “like” > and “dislike”. The first is implicit and the second is quite unambiguous. > > > On Dec 18, 2017, at 12:32 AM, GMAIL <babaevka...@gmail.com> wrote: > > Does it seem to me or UR strongly differs from Recommender? > At least I can't find method getRatings in class DataSource, which > contains all events, in particular, "rate", that I needed. > > 2017-12-18 11:14 GMT+03:00 Noelia Osés Fernández <no...@vicomtech.org>: > >> I didn't solve the problem :( >> >> Now I use the universal recommender >> >> On 18 December 2017 at 09:12, GMAIL <babaevka...@gmail.com> wrote: >> >>> And how did you solve this problem? Did you divide prediction score by 2? >>> >>> 2017-12-18 10:40 GMT+03:00 Noelia Osés Fernández <no...@vicomtech.org>: >>> >>>> I got the same problem. I still don't know the answer to your question >>>> :( >>>> >>>> On 17 December 2017 at 14:07, GMAIL <babaevka...@gmail.com> wrote: >>>> >>>>> I thought that there was a 5 point scale, but if so, why do I get >>>>> predictions of 7, 8, etc.? >>>>> >>>>> P.S. Sorry for my English. >>>>> >>>>> 2017-12-17 16:05 GMT+03:00 GMAIL <babaevka...@gmail.com>: >>>>> >>>>>> Hi. >>>>>> I train with Recommendation Engine Template. >>>>>> I use data from sample_movielens_data.txt and there all score less >>>>>> than 5, but I get prediction with score more than 5. >>>>>> What it meaning? >>>>>> >>>>> >>>>> >>>> >>>> >>>> -- >>>> <http://www.vicomtech.org/> >>>> >>>> Noelia Osés Fernández, PhD >>>> Senior Researcher | >>>> Investigadora Senior >>>> >>>> no...@vicomtech.org >>>> +[34] 943 30 92 30 >>>> Data Intelligence for Energy and >>>> Industrial Processes | Inteligencia >>>> de Datos para Energía y Procesos >>>> Industriales >>>> >>>> <https://www.linkedin.com/company/vicomtech> >>>> <https://www.youtube.com/user/VICOMTech> >>>> <https://twitter.com/@Vicomtech_IK4> >>>> >>>> member of: <http://www.graphicsmedia.net/> <http://www.ik4.es/> >>>> >>>> Legal Notice - Privacy policy >>>> <http://www.vicomtech.org/en/proteccion-datos> >>>> >>> >>> >> >> >> -- >> <http://www.vicomtech.org/> >> >> Noelia Osés Fernández, PhD >> Senior Researcher | >> Investigadora Senior >> >> no...@vicomtech.org >> +[34] 943 30 92 30 >> Data Intelligence for Energy and >> Industrial Processes | Inteligencia >> de Datos para Energía y Procesos >> Industriales >> >> <https://www.linkedin.com/company/vicomtech> >> <https://www.youtube.com/user/VICOMTech> >> <https://twitter.com/@Vicomtech_IK4> >> >> member of: <http://www.graphicsmedia.net/> <http://www.ik4.es/> >> >> Legal Notice - Privacy policy >> <http://www.vicomtech.org/en/proteccion-datos> >> > > >
