Guru’s search uses several types of technology to find information relevant to what users are searching for. This article covers how Guru interprets search terms and how search results are gathered. You can also learn how content is indexed for search in Guru and how search results are displayed.

Interpreting search terms provided by users

After you type a search term in the web app or browser extension search bar, several things happen:

  • Guru checks to see if there are alternate forms of the search term(s).

    • For example, if you entered "ran", Guru will include "run", "running", and "runs".

  • Guru does a spell check (also known as fuzzy matching).

  • Guru evaluates punctuation marks and spacing.

    • For example, "townhall" versus "town hall".

  • Guru considers potential synonyms.

    • For example, if a searcher provides "vacation" in the search bar, Guru may also consider Cards with the word "holiday" in them.

  • Guru considers double quotation marks used when you are searching for a specific word combination or an exact phrase.

    • For example, "engineering onboarding" will find Cards that have that exact phrase only.

Gathering relevant results

After analyzing the search term(s) provided, Guru will find Cards that are relevant to those terms. Relevance is based on many factors, including:

  • Where matches are found in a Card.

    • For example, a match could be found in the Card's title, Tags, attachment, content, etc.

  • How many “matches” to the search term(s) there are in the Card.

  • How much interaction a Card has received and if that interaction happened recently or a long time ago.

    • Interactions include favoriting, viewing, and copying.

    • Recent interactions are a little bit more important than old interaction.

  • How recently a Card was created.

The process for finding relevant Cards is a complex combination of several sub-processes that are constantly being evaluated, tested, and adjusted. The factors mentioned above are a simplified representation of our search algorithm.


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