# MoreLikeThis similarity ranking **URL:** \ **Category:** Elasticsearch\ **Created:** [October 30, 2013, 11:03am UTC](https://discuss.elastic.co/t/morelikethis-similarity-ranking/14171 "2013-10-30T11:03:37Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![Itamar\_Syn\_Hershko](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/itamar_syn_hershko/32/725_2.png) [@Itamar\_Syn\_Hershko](https://discuss.elastic.co/u/Itamar_Syn_Hershko)\ **Post date:** [October 30, 2013, 11:03am UTC](https://discuss.elastic.co/t/morelikethis-similarity-ranking/14171/1 "2013-10-30T11:03:37Z")
Hi all, We are using MoreLikeThis and trying to measure how similar each document really is from Elasticsearch's point of view. Our current way of doing that is indexing the actual content, and by looking at its score in the results (we don't filter it out) we can establish some sort of a pivot we can work based on. That is, all results with a higher score than the original are considered perfect matches, and results with a lower score are handled based on their distance from that pivot score. As Lucene scores are extremely subjective I'm pretty sure this is the only way to rank MLT results reliably, but I was wondering whether any of you know of a better way to do this? Thanks, Itamar. -- You received this message because you are subscribed to the Google Groups "elasticsearch" group. To unsubscribe from this group and stop receiving emails from it, send an email to [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com). For more options, visit [https://groups.google.com/groups/opt\_out](https://groups.google.com/groups/opt_out). ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [July 6, 2017, 2:09am UTC](https://discuss.elastic.co/t/morelikethis-similarity-ranking/14171/2 "2017-07-06T02:09:50Z")