Hello anjali,
You can Start here : org.apache.spark.mllib.recommendation
Them you should build a “recomender” you need to transform your trainData into
Rating objects them you can train a model with for example : val model =
ALS.trainImplicit(trainData, 10, 5, 0.01, 1.0)
Jorge
> On 08/01/20
Alternating least squares takes an RDD of (user/product/ratings) tuples
and the resulting Model provides predict(user, product) or predictProducts
methods among others.
Use spark mlib kmeans algorithm to generate recommendations
On Jan 8, 2016 12:41 PM, anjali gautam wrote:
Hi,
Can anybody please guide me how can we create generate recommendations for
a user using spark?
Regards,
Anjali Gautam
The question itself is very vague.
You might want to use this slide as a starting point
http://www.slideshare.net/CasertaConcepts/analytics-week-recommendations-on-spark.
From: anjali gautam [mailto:anjali.gauta...@gmail.com]
Sent: Friday, January 08, 2016 12:42 PM
To: user@spark.apache.org
Subj
