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

Active Publication Date: 2014-01-15
安徽省泰岳祥升软件有限公司
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However, in this error correction prompt processing method, in order to retrieve the matching error correction prompt results, it is necessary to traverse and match all the promp

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  • Retrieval condition error correction prompt processing method based on Pinyin in retrieval application

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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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Abstract

The invention provides a retrieval condition error correction prompt processing method based on Pinyin in retrieval application. The method can provide error correction prompts when Chinese character retrieval conditions are input through a Pinyin input method and input errors occur, supports error correction prompts in a Chinese character mode, a Pinyin mode and a Chinese character and Pinyin mixing mode, and provides the error correction prompts according to misused character entry retrieval of homonyms and fuzzy words. According to the retrieval condition error correction prompt processing method based on the Pinyin, a dictionary tree serves as a data structure for query processing, has the advantages of being high in query speed, strong in error correction capacity, little in occupied data space and the like, can improve error correction prompt processing efficiency and response speed of a search engine on retrieval conditions, brings good use experience for users, and therefore improves loyalty of the users to retrieval application products.

Description

technical field [0001] The invention relates to the field of computer communication network technology and retrieval application technology, in particular to a pinyin-based error correction prompt processing method for retrieval conditions in retrieval applications. Background technique [0002] In the information society, search engine, as one of the main ways to obtain information, has attracted people's attention since it came out. A search engine refers to a data service system that takes various information resources on the network as objects and provides the information required by users in the form of information retrieval. It regularly collects information on the Internet through specific computer applications, and extracts the information collected. , Integration, and indexing, provide users with retrieval services. With the explosive growth of information, the utilization rate of popular search engines continues to increase, and people's requirements for the human...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9027G06F16/951
Inventor 刘磊熊小鹏
Owner 安徽省泰岳祥升软件有限公司
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