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 wrote:
>
>
>> On 16 Jan 2016, at 12:22, Sandeep Rana
>> 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.
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>
[[alternative HTML version deleted]]
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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