Learned search augments search results when there are gaps in autosuggest, exact match, search phrases, and tags. Learned search works in the following manner:
- Search terms are simplified to their root or stem to account for variations of words (tag, tags, tagging, tagged, untagged, etc).
- Results include synonyms which can be defined in your synonym library. Searches for synonyms act like searches for the base word.
- Results are ranked based on where the search term appears in the articles. Results with the search term in the article title are weighted higher than those with the term in the body, and results with the search term in headers within the body are weighted higher than those with the search term in the normal text.
- Articles that are clicked on for a specific search phrase will move up in the search results over time, which is called learning.