spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Xiangrui Meng (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-2768) Add product, user recommend method to MatrixFactorizationModel
Date Fri, 01 Aug 2014 14:34:39 GMT

     [ https://issues.apache.org/jira/browse/SPARK-2768?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xiangrui Meng updated SPARK-2768:
---------------------------------

    Target Version/s: 1.1.0

> Add product, user recommend method to MatrixFactorizationModel
> --------------------------------------------------------------
>
>                 Key: SPARK-2768
>                 URL: https://issues.apache.org/jira/browse/SPARK-2768
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>    Affects Versions: 1.0.1
>            Reporter: Sean Owen
>            Assignee: Sean Owen
>            Priority: Minor
>             Fix For: 1.1.0
>
>
> Right now, MatrixFactorizationModel can only predict a score for one or more (user,product)
tuples. As a comment in the file notes, it would be more useful to expose a recommend method,
that computes top N scoring products for a user (or vice versa -- users for a product).



--
This message was sent by Atlassian JIRA
(v6.2#6252)

Mime
View raw message