Hi I also have a similar question regarding result interpretation based on how we provide data to recommender. Typcally , we provide rating data say in scale from 1-5 and get the result in the same scale range.(and need to be consistent as Sean points out)
If we assume the provided data with other dimension such as sales revenue,price or some other physical dimension and can we still use the recommender output as precdicted sales revenue or simulated possible price in the same dimension scale? I'm assuming user-based recommendation here. Looks like SVD recommender is more suitable for this purpose. Apprecaite your advise. Yutaka 2013/2/5 Sean Owen <sro...@gmail.com> > You don't have to fix a scale. But your data needs to be consistent. > It wouldn't work to have users rate on a 1-5 scale one day, and 1-100 > tomorrow (unless you go back and normalize the old data to 1-100). > > On Mon, Feb 4, 2013 at 3:56 PM, Zia mel <ziad.kame...@gmail.com> wrote: > > Hi , is there a necessity to have a fix rating scale while running > > recommendations or it can be dynamic based on the users' data ? > > > > Many Thanks >
