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 <bhh at xs4all.nl>
wrote:
>
>
>> On 16 Jan 2016, at 12:22, Sandeep Rana <sunnysingha.analytics at
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: cran.r-project.org/web/packages/NMF/index.html
>
> Berend
>
>> Regards,
>> Sunny
>> [[alternative HTML version deleted]]
>>
>
>
> No html please.
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
[[alternative HTML version deleted]]