Thanks Berend, Through NMF we would be able to capture relationship between users and items and discover latent factors/topics of those users items. I want to combine the above with effect of user features(e.g: gender, age, location, time… etc.) and item features (e.g.: item_category, price, location, etc….) hence, the name featurised matrix factorisation. I didn’t find yet reference to package that takes in user and item features too.
Regards, Sunny > On 16-Jan-2016, at 9:06 PM, Berend Hasselman <b...@xs4all.nl> wrote: > > >> On 16 Jan 2016, at 12:22, Sandeep Rana <sunnysingha.analyt...@gmail.com> >> wrote: >> >> Hi, >> I want to perform non-negative featurised Matrix factorisation in ‘R’. Is >> there any ‘R' package or documentation that explains on this ? >> > > Well I don't know about the "featurised" but googling on (you didn't do that?) > > non-negative featurised Matrix factorisation R > > found this: https://cran.r-project.org/web/packages/NMF/index.html > > Berend > >> Regards, >> Sunny >> [[alternative HTML version deleted]] >> > > > No html please. >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
