Hi Arnold,
One way to approach this is to store the topic vector you calculated with
each of the associated Solr document into a pseudo-vector field (i.e.
formatted string field). Then parse the string field into actual vector for
calculation when you need it. Something similar to this,
https://github.com/saaay71/solr-vector-scoring. But note that the plugin
will not work out of the box for latest Solr version.
Best wishes,
Chee Yee
On Thu, 8 Aug 2019 at 01:07, Arnold Bronley wrote:
> Hi,
>
> I have a topic verctor calculated for each of the Solr document in a
> collection. Topic vector is calculated using LDA (
> https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation). Now I want to
> return the similar document to a given document from this collection. I can
> simply use normalized dot product between the given vector and all other
> vectors to see which one has product of ~1. That will tell me that those
> are very similar documents. Is there a way to achieve this using Solr?
>
