Re: Spark MLlib:Collaborative Filtering

[Devi P.V]

Thanks a lot.I solved the problem using string indexer.

On Wed, Aug 24, 2016 at 3:40 PM, Praveen Devarao <praveen...@in.ibm.com>
wrote:

> You could use the string indexer to convert your string userids and
> product ids numeric value. http://spark.apache.org/docs/
> latest/ml-features.html#stringindexer
>
> Thanking You
> 
> -
> Praveen Devarao
> IBM India Software Labs
> 
> -
> "Courage doesn't always roar. Sometimes courage is the quiet voice at the
> end of the day saying I will try again"
>
>
>
> From:glen <cng...@126.com>
> To:"Devi P.V" <devip2...@gmail.com>
> Cc:"user@spark.apache.org" <user@spark.apache.org>
> Date:24/08/2016 02:10 pm
> Subject:Re: Spark MLlib:Collaborative Filtering
> --
>
>
>
> Hash it to int
>
>
>
> On 2016-08-24 16:28 , *Devi P.V* <devip2...@gmail.com> Wrote:
>
> Hi all,
> I am newbie in collaborative filtering.I want to implement collaborative
> filtering algorithm(need to find top 10 recommended products) using Spark
> and Scala.I have a rating dataset where userID & ProductID are String type.
>
> UserID   ProductID Rating
> b3a68043-c1  p1-160ff5fDS-f74   1
> b3a68043-c2  p5-160ff5fDS-f74   1
> b3a68043-c0  p9-160ff5fDS-f74   1
>
>
> I tried ALS algorithm using spark MLlib.But it support rating userID &
> productID only Integer type.How can I solve this problem?
>
> Thanks In Advance
>
>
>
>
>

Re: Spark MLlib:Collaborative Filtering

[Praveen Devarao]

You could use the string indexer to convert your string userids and 
product ids numeric value. 
http://spark.apache.org/docs/latest/ml-features.html#stringindexer

Thanking You
-
Praveen Devarao
IBM India Software Labs
-
"Courage doesn't always roar. Sometimes courage is the quiet voice at the 
end of the day saying I will try again"



From:   glen <cng...@126.com>
To: "Devi P.V" <devip2...@gmail.com>
Cc: "user@spark.apache.org" <user@spark.apache.org>
Date:   24/08/2016 02:10 pm
Subject:Re: Spark MLlib:Collaborative Filtering



Hash it to int



On 2016-08-24 16:28 , Devi P.V Wrote: 

Hi all,
I am newbie in collaborative filtering.I want to implement collaborative 
filtering algorithm(need to find top 10 recommended products) using Spark 
and Scala.I have a rating dataset where userID & ProductID are String 
type.

UserID   ProductID Rating
b3a68043-c1  p1-160ff5fDS-f74   1
b3a68043-c2  p5-160ff5fDS-f74   1
b3a68043-c0  p9-160ff5fDS-f74   1


I tried ALS algorithm using spark MLlib.But it support rating userID & 
productID only Integer type.How can I solve this problem?

Thanks In Advance

Re: Spark MLlib:Collaborative Filtering

[glen]

Hash it to int




On 2016-08-24 16:28 , Devi P.V Wrote:


Hi all,
I am newbie in collaborative filtering.I want to implement collaborative 
filtering algorithm(need to find top 10 recommended products) using Spark and 
Scala.I have a rating dataset where userID & ProductID are String type.

UserID   ProductID Rating
b3a68043-c1  p1-160ff5fDS-f74   1
b3a68043-c2  p5-160ff5fDS-f74   1
b3a68043-c0  p9-160ff5fDS-f74   1


I tried ALS algorithm using spark MLlib.But it support rating userID & 
productID only Integer type.How can I solve this problem?


Thanks In Advance

Spark MLlib:Collaborative Filtering

[Devi P.V]

Hi all,
I am newbie in collaborative filtering.I want to implement collaborative
filtering algorithm(need to find top 10 recommended products) using Spark
and Scala.I have a rating dataset where userID & ProductID are String type.

UserID   ProductID Rating
b3a68043-c1  p1-160ff5fDS-f74   1
b3a68043-c2  p5-160ff5fDS-f74   1
b3a68043-c0  p9-160ff5fDS-f74   1


I tried ALS algorithm using spark MLlib.But it support rating userID &
productID only Integer type.How can I solve this problem?

Thanks In Advance