Retrieval condition error correction prompt processing method based on Pinyin in retrieval application
A technology of prompt processing and pinyin, which is applied in network data retrieval, electronic digital data processing, and other database retrieval, etc., can solve the problem of low efficiency and response speed of error correction prompt processing, long time-consuming error correction prompt processing, and affecting users' understanding of error correction. Problems such as the user experience of the prompt function can be improved to improve the processing efficiency and response speed of error correction prompts, the query speed is fast, and the effect of occupying less data space
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[0021] Dictionary tree, also known as Trie tree, is a tree-shaped data structure, which is a variant of hash tree. As an existing technology, the typical application of the dictionary tree is to count, sort and store a large number of strings (but not limited to strings). The main advantages of the dictionary tree are: the use of the common prefix of the string to save data storage space, can minimize the unnecessary string comparison, and its query processing efficiency is higher than the hash table. Based on these advantages of the dictionary tree, the pinyin-based search condition error correction prompt processing method of the present invention combines the data structure of the dictionary tree to perform error correction query processing, and achieves the retrieval of homophones and fuzzy phonetic words. The error correction prompt, and the number of matching times required for the error correction query process is equivalent to the number of nodes included in the path of...
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