Hey guys… 
I am working on a project where we’re using Bloomreach to drive product recommendations for a very specific niche audience, and I’m curious about the best practices for optimizing recommendations in this kind of scenario.
Are there any particular strategies or configurations within Bloomreach that help improve the relevance of recommendations for a narrow target group? For example, are there certain data points or user behaviors that I should be focusing on to better tailor the recommendations?
I also check this: https://community.bloomreach.com/t/bloomreach-max-and-min-java-heap-size-recommendokta But I have not found any solution. Could anyone guide me about this? Any insights or tips from your experience would be greatly appreciated!
Thanks in advance!
Respected community member! 