Hi @hasnat_unifeye,

Thanks so much for the kind words! I really appreciate it — your approach sounds amazing too. Using LDA with PySpark ML for topic-based recommendations is a clever and explainable way to group similar items. I love how you’ve applied it to recipes — that’s such a relatable and data-rich use case.

I completely agree that projects like these show how versatile Databricks can be for NLP and semantic exploration. Would love to stay connected and exchange ideas — I think there’s a lot of overlap between clustering approaches and embedding-based similarity. Great work on your entry!