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Before any changes are released, engine scoring is performed to ensure that those changes do not have any a negative impact on search relevancy.
Relevancy of fields in an item of content
Search calculates a relevancy score for each item of content in the search results. Matches found in each field contribute to the item's score. Some Some fields have a greater impact on the score than others. Content fields:
Title | Matches in the title field score most highly and if there is an exact match between the user's search query and the content title, that score is boosted. For example, if the user searched for |
Description | Matches in the description field contribute to the score. The more terms that match, the greater the score from the description field. |
Body/Transcript | Matches in the content body or transcript also contribute to the score. If the user searched for ‘onboarding plan’ and the term ‘plan’ appears 10 times in document A and only twice in document B, then document A will score higher. |
Tags | Matches against content tags also contribute toward the content score. Tags are only considered if they match the terms in the user’s search query exactly. For example, if the user searches for ‘onboarding plan’, and there is a single tag called ‘onboarding plan’, then it would contribute to the score. Two tags ‘Onboarding’ and ‘Plan’ ‘onboarding’ and ‘plan’ would not contribute to the content’s score. |
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