Sentence Transformers documentation describes this problem as “asymmetric search”. Some of their models are fine tuned to better handle short queries matched to

Sentence Transformers documentation describes this problem as “asymmetric search”. Some of their models are fine tuned to better handle short queries matched to longer documents. (https://www.sbert.net/examples/applications/semantic-search/README.html https://www.sbert.net/examples/applications/semantic-search/...) Alternatively, you could mean pool (average) the document embeddings for the most popular click results for a given query and use that as the query embedding.