# Improving discovery of "your topic is similar to" relevance search

**URL:** <https://meta.discourse.org/t/improving-discovery-of-your-topic-is-similar-to-relevance-search/35220>\
**Category:** UX\
**Created:** [November 3, 2015, 4:00pm UTC](https://meta.discourse.org/t/improving-discovery-of-your-topic-is-similar-to-relevance-search/35220 "2015-11-03T16:00:24Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**Author:** ![codinghorror](https://sea3.discourse-cdn.com/meta/user_avatar/meta.discourse.org/codinghorror/32/110067_2.png) [@codinghorror](https://meta.discourse.org/u/codinghorror)\
**Post date:** [November 4, 2015, 3:19am UTC](https://meta.discourse.org/t/improving-discovery-of-your-topic-is-similar-to-relevance-search/35220/6 "2015-11-04T03:19:34Z")

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The way we improved it at Stack was to manually drop the top 10k English words from the query terms, so you are only ever querying on really unique, rarer words rather than “how do I” matches, which are almost always bullshit.

Also to heavily prioritize title matches, but the current code uses both title and body **provided they are long enough**.

We could also scope by category, if entered.

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