[
https://issues.apache.org/jira/browse/UNOMI-193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Romain Gauthier closed UNOMI-193.
---------------------------------
Resolution: Won't Fix
This ticket is too vague and too big. Integration with machine learning can be
done in several ways and if the community wants to contribute such
integrations, it will be done as part of dedicated tickets.
[|https://issues.apache.org/jira/secure/AddComment!default.jspa?id=13173314]
> 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
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
