Vocabulary recommendation method, vocabulary recommendation device and computer storage medium

A recommendation method and vocabulary technology, applied in the computer field, can solve the problems of low accuracy and recall of vocabulary recommendation, and achieve the effects of avoiding input errors, improving accuracy, and increasing the range of choices

Pending Publication Date: 2018-11-16
NUBIA TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In summary, the current vocabulary recommendation method only recommends associative vocabulary according to the user's frequency of use, while ignoring the influence of other factors on vocabulary recommendation, resulting in low accuracy and recall of vocabulary recommendation.

Method used

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  • Vocabulary recommendation method, vocabulary recommendation device and computer storage medium
  • Vocabulary recommendation method, vocabulary recommendation device and computer storage medium
  • Vocabulary recommendation method, vocabulary recommendation device and computer storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] This embodiment provides a vocabulary recommendation method. The execution subject of this embodiment may be the above-mentioned mobile terminal, or a preset server.

[0068] Such as image 3 Shown is a flow chart of the vocabulary recommendation method according to the first embodiment of the present invention.

[0069] Step S310, according to the input information acquired in the input interface, determine the misoperation information.

[0070] Input interface, including but not limited to: instant messaging chat window, Office software input page. For example: QQ chat window, Word page, Excel page, etc.

[0071] Enter information, including but not limited to: input string. Wherein, the input string includes: a pinyin string and a Wubi stroke string.

[0072] Misoperation information refers to the wrong input of characters caused by the user's finger touching when inputting a pinyin character string or a Wubi stroke character string.

[0073] Misoperation infor...

Embodiment 2

[0093] The present invention can determine the user's misoperation character string according to the character string input by the user in the output interface. In order to make the process clearer and easier to understand, this embodiment will further describe the process of determining the misoperation character string.

[0094] Figure 4 It is a flow chart of steps for determining a misoperation character string according to the second embodiment of the present invention.

[0095] Step S410, the input character string acquired in the input interface.

[0096] Step S420, acquiring adjacent characters of each character in the input string on the input keyboard.

[0097] In this embodiment, the domain range is set in advance for each character in the input keyboard; for each character in the input character string, the character on the keyboard located within the domain range of the character is acquired as the Adjacent characters of the above characters.

[0098] Step S43...

Embodiment 3

[0117] This embodiment will further describe the steps of calculating the recommended value of the associative vocabulary according to the usage parameters of the associative vocabulary.

[0118] Such as Figure 5 As shown, it is a flow chart of steps for calculating recommended values ​​according to the third embodiment of the present invention.

[0119] Step S510, according to historical input behavior information, determine the use parameters of each associative vocabulary.

[0120] According to the input information obtained in the input interface, determine the misoperation information; according to the input information and the misoperation information, obtain the association vocabulary; obtain the historical input behavior information corresponding to the input interface; after that, determine each association according to the historical input behavior information lexical usage parameters.

[0121] In this embodiment, the usage parameters include: usage frequency, pre...

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PUM

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Abstract

The invention discloses a vocabulary recommendation method, a vocabulary recommendation device and a computer storage medium. The method comprises the steps of: according to input information obtainedin an input interface, determining misoperation information; according to the input information and the misoperation information, obtaining association vocabularies; obtaining historical input behaviour information corresponding to the input interface; and, according to the historical input behaviour information, performing priority sequencing of all the obtained association vocabularies, and recommending the association vocabularies according to the decreasing order of the priority. According to the vocabulary recommendation method, the vocabulary recommendation device and the computer storage medium disclosed by the invention, after the input information is obtained, the misoperation information is determined; the association vocabularies corresponding to the input information and the association vocabularies corresponding to the misoperation information are obtained; the wrong input problem due to user misoperation can be avoided; the current application scene is also considered inthe invention; the priority of the association vocabularies is calculated by utilization of the historical input behaviour information corresponding to the input interface; therefore, the vocabularyrecommendation accuracy is effectively improved; and thus, the vocabulary accuracy rate and recall rate can be increased.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a vocabulary recommendation method, device and computer storage medium. Background technique [0002] In the prior art, when a user inputs information using an input method, word association can be performed according to the user's input information to generate a list of associative words, and according to the user's historical input behavior information, in the order of the user's usage frequency from high to low, Sort the words in the associative word list, and recommend the most frequently used words to the user first. [0003] However, current vocabulary recommendation methods have at least the following drawbacks: [0004] (1) When the user input event is a misoperation, an incorrect associative vocabulary list will be generated according to the misoperation, which will lead to failure to recommend the target vocabulary to the user. For example: the user intended...

Claims

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Application Information

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IPC IPC(8): G06F3/023G06F17/30
CPCG06F3/0237
Inventor 王秀琳
Owner NUBIA TECHNOLOGY CO LTD
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