Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF6 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

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 prompt words in the entire prompt lexicon. The error prompt processing efficiency and response speed are low, which affects the user experience of the error correction prompt function

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Retrieval condition error correction prompt processing method based on Pinyin in retrieval application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] Dictionary tree, also known as Trie tree, is a tree data structure, which is a variant of hash tree. As an existing technology, the typical application of dictionary tree is to count, sort and save a large number of strings (but not limited to strings). The main advantages of the dictionary tree are: using the common prefix of the string to save data storage space, minimizing unnecessary string comparison, and its query processing efficiency is higher than that of the hash table. Based on these advantages of the dictionary tree, the present invention's pinyin-based retrieval condition error correction prompt processing method well combines the dictionary tree data structure to perform error correction query processing, and realizes the retrieval of different word entries for homophones and fuzzy sounds. The error correction prompt, and the error correction query process only needs to experience the number of matches that is equivalent to the number of nodes contained on...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com