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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/04/17 01:27:59 UTC

[jira] [Assigned] (SPARK-4675) Find similar products and similar users in MatrixFactorizationModel

     [ https://issues.apache.org/jira/browse/SPARK-4675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-4675:
-----------------------------------

    Assignee: Apache Spark

> Find similar products and similar users in MatrixFactorizationModel
> -------------------------------------------------------------------
>
>                 Key: SPARK-4675
>                 URL: https://issues.apache.org/jira/browse/SPARK-4675
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>            Reporter: Steven Bourke
>            Assignee: Apache Spark
>            Priority: Trivial
>              Labels: mllib, recommender
>
> Using the latent feature space that is learnt in MatrixFactorizationModel, I have added 2 new functions to find similar products and similar users. A user of the API can for example pass a product ID, and get the closest products. 



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