Filters
May 5, 2024

Classifying topics

AI excels at classifying vast amounts of content, presenting an opportunity for new, more fluid filter interfaces tailored to the content.

This image shows a user interface with tabs for different categories at the top, such as "Topics," "Interface," "Accessibility," "Customization," and "Feedback." The "Interface" tab is currently highlighted in purple. Below these tabs are three sections representing different comments or discussions, each containing a circular user avatar icon and placeholder text that represents user comments or feedback. The background has a light purple hue.
Human needs

When there is a large amount of content, I want an easy way to search through it so I can quickly find the relevant information for me.

AI-UX patterns
Considerations
  • Limitations of Conventional Filters: In conventional interfaces, filters consist of a fixed set of categories and tags. As time passes, more tags are added and content changes. This can clutter the filter interface and hinder people in finding the information they are looking for.

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