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https://issues.apache.org/jira/browse/SPARK-13161?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15176747#comment-15176747
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Joseph K. Bradley commented on SPARK-13161:
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There are many generalizations of LDA, so it would be valuable to know about
people's use cases and needs. Do you have a use case you could describe for
this?
It would be great to have this feature as a Spark package in the meantime.
> Extend MLlib LDA to include options for Author Topic Modeling
> -------------------------------------------------------------
>
> Key: SPARK-13161
> URL: https://issues.apache.org/jira/browse/SPARK-13161
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.6.0
> Reporter: John Hogue
>
> The author-topic model, a generative model for documents that extends Latent
> Dirichlet Allocation.
> By modeling the interests of authors, we can answer a range of important
> queries about the content of document collections. With an appropriate author
> model, we can establish which subjects an author writes about, which authors
> are likely to have written documents similar to an observed document, and
> which authors produce similar work.
> Full whitepaper here.
> http://mimno.infosci.cornell.edu/info6150/readings/398.pdf
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