Method and system for autocompletion for languages having ideographs and phonetic characters

A technology of ideograms and phonetic symbols, applied in the field of accelerating desired search, which can solve problems such as time-consuming

Active Publication Date: 2008-06-04
GOOGLE LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Entering queries this wa

Method used

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  • Method and system for autocompletion for languages having ideographs and phonetic characters
  • Method and system for autocompletion for languages having ideographs and phonetic characters
  • Method and system for autocompletion for languages having ideographs and phonetic characters

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Embodiment Construction

[0025] In one embodiment of the invention, a portion of the user's query is transmitted to the search engine before the user finishes entering the complete query. The transmitted part of the query is used by the search engine to predict the user's final query. These predictions are communicated to the user. If one of the predictions is the query the user wants, the user can select that predicted query without continuing to complete the entry of the query. In some embodiments, the selected query is transmitted to a search engine, which returns a set of query results corresponding to the selected query.

[0026] FIG. 1 illustrates an example embodiment of the invention including a client system 104 and a search engine 106 . As the user enters a search query, the user's input is monitored (108) by the client system. A portion of the user query is sent from the client system 104 to the search engine 106 before the user is notified that the search query entry is complete (110). ...

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Abstract

When a user enters text in a text input box (eg, a browser or a tool bar), a sorted set of predicted input-complete strings comprising ideographic strings is presented to the user. The user-entered text may include zero or more ideograms followed by one or more phonetic characters, or the entered text may be one or more. The predicted completion string can be a URL or a query string. Ranking can be based on any number of factors (eg, frequency of queries submitted by user groups). URLs may be ranked based on the URL's importance value. The set of sort-predicted completion strings may be obtained by matching the fingerprint of the user input string with the fingerprint-to-table mapping containing the set of sort-predicted input complete strings. The sequence-predicted string generation takes into account multiple phonetic representations of an ideographic string.

Description

technical field [0001] The present invention relates generally to the field of search engines for locating documents in a computer network, such as a distributed system of computer systems, and in particular to systems and systems for accelerating desired searches by predicting user queries in languages ​​that include non-phonetic characters method. Background technique [0002] Search engines provide a powerful tool for locating certain documents within large document databases, such as those of the World Wide Web (WWW) or documents stored in individual computers on a corporate intranet. Locating these documents is done in response to a search query submitted by a user. A search query can include one or more search terms. [0003] In one way of entering a query, a user enters a query by adding successive search terms until all search terms are entered. Once the user has explicitly entered all the search terms for the query, the query is sent to the search engine. The us...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F40/00
CPCG06F17/3064G06F17/2863G06F17/30864G06F17/276G06F16/90324G06F16/951G06F16/3322G06F16/3325G06F16/24578G06F40/274G06F40/53
Inventor 凯文·A·吉布斯
Owner GOOGLE LLC
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