searchivarius commented on issue #12342: URL: https://github.com/apache/lucene/issues/12342#issuecomment-1668270921
@benwtrent thank you for re-running, much appreciated! The results look the same, but do we agree that after the transform is done, all three similarities / distances should be equivalent for the purpose of k-NN search? This is due to all documents being normalized to the same length (and query length is the same during the search, simply because it's the very same query). The equivalence is more obvious when queries and documents all have unit length. However, I think it is still true assuming consistent normalization of documents. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For additional commands, e-mail: issues-h...@lucene.apache.org
