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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:00:37 UTC
[jira] [Updated] (SPARK-19346) Add further cold-start strategies
for ALS prediction
[ https://issues.apache.org/jira/browse/SPARK-19346?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-19346:
---------------------------------
Labels: bulk-closed (was: )
> Add further cold-start strategies for ALS prediction
> ----------------------------------------------------
>
> Key: SPARK-19346
> URL: https://issues.apache.org/jira/browse/SPARK-19346
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Reporter: Nick Pentreath
> Priority: Major
> Labels: bulk-closed
>
> As discussed in SPARK-14489 and the related PR, additional strategies may be useful in the case of unknown users/items at prediction time for ALS. These include:
> * some form of "average rating" as a default
> * computing predictions using the average user/item vector
> There may be other interesting approaches too. This ticket tracks the addition of these more advanced strategies.
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