Tries are ideal for efficiently storing, searching, and retrieving strings, thus enhancing user experiences in applications like auto-completion, spell-checking, and text prediction.
The structure of a trie resembles a tree, where data branches off, allowing quick access to a large set of strings, making it effective for various applications.
Tries' ability to handle spelling corrections and search suggestions significantly improves user experience, demonstrating their practical value within UX design across various platforms.
Named after the term 'retrieval,' tries are designed to efficiently manage vast collections of strings, making complex string queries simpler and faster.
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