検索結果のランキング

When you perform a search in Confluence, it is likely that there will be many pages or other content items that match your search terms. Confluence will rank the matching items by evaluating their relevance. This should mean that the items most relevant to you will appear at the top of the search results list, so that you can quickly select the item you need.

ここでは、検索によって返されたアイテムの関連性を判断する、つまり検索結果をランク付けするために Confluence で使用される方法の概要を説明します。

Philosophy behind the Ranking

Confluence gives highest priority to personal information i.e. documents which take you to a user's profile when you click on them. Collaboration is a primary function of a wiki, so Confluence makes it easy to find people.

For example, if you search for 'John Smith', the first results you see will be for John Smith's user profile and personal space. There may also be other content (wiki pages, email messages, etc) which contain the words 'John Smith'. These other content types may even have 'John Smith' as the page title and repeated multiple times in the content, but they will still appear lower down in the list of search results.

Matching terms found in the title of a page, or in the title of any content type, are considered a strong match. So are matches found in labels, because when someone applies a label it means that they think the content is particularly relevant to the labelled term.

Matches found in the content body are of average importance. If the matched term appears more than once, the document will be given a proportionately higher ranking.

We also assume that information created recently is slightly more relevant than older information.

Summary of the Ranking Method

When displaying the results of a search, Confluence applies a weighting to each of the content items returned.

To determine the weighting:

1. For each content item, Confluence first applies three weightings based on the following:
   1. The content type of the item returned — user profile, page, blog post, attachment, etc. (More details below.)
   2. The type of field in which the search term was found — title, name, label, or content body. (More details below.)
   3. The age of the item returned. (More details below.)
2. Confluence then combines the three weightings to arrive at a single weighting for the content item.

The item with the heaviest weighting will appear at the top of the list of search results, and the other items will appear below in descending order of weighting.