Items need to be labelled, categorized, and organized using keywords that describe them.
- Use when the content on your website is possibly mapped into multiple categories and does not necessarily only fit into one hierarchical category.
- Use when you want users to contribute data to your website and let them organize their contributed data themselves.
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Let users associate multiple topics with a piece of content. Allow users to add appropriate keywords to categorize their own content in a non-hierarchical way. Let users use hashtags to integrate tagging into the content itself.
Allow keywords to be associated with items on a website/application such as blog articles, ecommerce products and media. Use terms that categorically describe these items. Permit these items to be found in a search using these keywords. Let contributors of information add keywords to the content they submit. Keywords can be displayed as links that aid in finding items with matching keywords.
Tagging helps make it easier for users to find their own content and for their peers to discover content related to their interests.
Tags are relevant keywords associated with or assigned to a piece of information. Tags are often used on social websites, where users can upload their own content. Here, tags are used to let users organize and categorize their own data in the public sphere. In this way, tags can be seen as a bottom-up categorization of data rather than a top-down categorization of data, where the creators of the site define the hierarchy data is submitted to.
More examples of the Tagging pattern See all 18 example screenshots
User Interface Design Patterns
Jasper Kennis on Mar 20, 2008
“Tags are relevant keywords associated with or assigned to a piece of information.” The problem is, who chooses when a certain tag Ãs indeed relevant and when it isn’t. Using the tag “css” for every article that has the word css in it might just result in 300 articles with the same tag attached to it. But if we only take those articles that are specifically about css, we might get a nice small list, containing for css articles, but not the one I was looking for. A Google like search system, based on clicks for example, and a well chosen list of “relevant articles”, maybe supported by “other people who liked this article also liked this and that”, will do the job better. I don’t like tags.