Re: Recommendations using Spark
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 08/01/2016, at 08:11, anjali gautamwrote: > > Hi, > > Can anybody please guide me how can we create generate recommendations for a > user using spark? > > Regards, > Anjali Gautam - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Recommendations using Spark
Hi, Can anybody please guide me how can we create generate recommendations for a user using spark? Regards, Anjali Gautam
Re: Recommendations using Spark
Use spark mlib kmeans algorithm to generate recommendations On Jan 8, 2016 12:41 PM, anjali gautamwrote: Hi, Can anybody please guide me how can we create generate recommendations for a user using spark? Regards, Anjali Gautam
RE: Recommendations using Spark
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 Subject: Recommendations using Spark Hi, Can anybody please guide me how can we create generate recommendations for a user using spark? Regards, Anjali Gautam
Re: Recommendations using Spark
Alternating least squares takes an RDD of (user/product/ratings) tuples and the resulting Model provides predict(user, product) or predictProducts methods among others.