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Posted to dev@unomi.apache.org by "Serge Huber (Jira)" <ji...@apache.org> on 2020/04/30 14:11:00 UTC

[jira] [Updated] (UNOMI-193) Machine learning for Apache Unomi

     [ https://issues.apache.org/jira/browse/UNOMI-193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Serge Huber updated UNOMI-193:
------------------------------
    Fix Version/s:     (was: 1.5.0)
                   2.0.0

> Machine learning for Apache Unomi
> ---------------------------------
>
>                 Key: UNOMI-193
>                 URL: https://issues.apache.org/jira/browse/UNOMI-193
>             Project: Apache Unomi
>          Issue Type: New Feature
>    Affects Versions: 1.3.0-incubating, 1.4.0
>            Reporter: Romain Gauthier
>            Priority: Major
>             Fix For: 2.0.0
>
>
> Currently, it is possible to use Unomi for personalization, but it would be great if it could go further and support more advanced use cases, based on machine learning:
>  * Product / content recommendations: the best thing to do would be to support both condition based recommendations as of today, but with a scoring / a sort based on ML algorithms.
>  * Audiience lookalike: Unomi to suggest segments if some profiles have a similar behaviour
>  * Predictive analytics: To guess how many profiles should fulfil this goal in the next x days ?
> We could also use ML to provide probabilistic identity matching.
> Do you have other use cases in mind ? 
>  
> Best,
> Romain



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