[R] featurised matrix factorisation in R
sunnysingha.analytics at gmail.com
Sun Jan 17 08:38:44 CET 2016
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.
> On 16-Jan-2016, at 9:06 PM, Berend Hasselman <bhh at xs4all.nl> wrote:
>> On 16 Jan 2016, at 12:22, Sandeep Rana <sunnysingha.analytics at gmail.com> wrote:
>> 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
>> [[alternative HTML version deleted]]
> No html please.
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> 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]]
More information about the R-help