[
https://issues.apache.org/jira/browse/SPARK-4303?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Jia Xu updated SPARK-4303:
--------------------------
Description:
In many big data recommendation applications, the IDs used for "users" and
"products" are usually Long type instead of Integer. So a Rating class based on
Long IDs should be more useful for these applications.
case class Rating(val user: Long, val product: Long, val rating: Double)
was:In many big data recommendation applications, the IDs used for "users"
and "products" are usually Long type instead of Integer.
> [MLLIB] Use "Long" IDs instead of "Int" in ALS.Rating class
> -----------------------------------------------------------
>
> Key: SPARK-4303
> URL: https://issues.apache.org/jira/browse/SPARK-4303
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Jia Xu
>
> In many big data recommendation applications, the IDs used for "users" and
> "products" are usually Long type instead of Integer. So a Rating class based
> on Long IDs should be more useful for these applications.
> case class Rating(val user: Long, val product: Long, val rating: Double)
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
