A Java Library that uses Trie structure to retrieve a K most recurring words
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Updated
Feb 28, 2019 - Java
A Java Library that uses Trie structure to retrieve a K most recurring words
A Wikipedia sourced search engine
🌲Trie generator.
This project implements a text autocompletion system using Trie (prefix tree) data structure. The autocomplete functionality allows users to efficiently retrieve word suggestions as they type, making text input more efficient and user-friendly.
A Trie data structure which can be searched using wild characters.
🔍 A React app with blazing fast sub millisecond autocomplete suggestions using a weighted trie.
A collection of C++ implementations of some complex data structures
autocomplete function used search engines, spell-checking, text-messengers, etc. Includes a bloom filter that provides memory efficient check of whether an item has been inserted before through the use of hashing algorithms (FNV1AHash, CRCHash, and SBDMHash).
Skip the JS and write server-side Parse CloudCode in Swift!
🚍 High-performance trie-node router.
Add a description, image, and links to the trie-node topic page so that developers can more easily learn about it.
To associate your repository with the trie-node topic, visit your repo's landing page and select "manage topics."