WO2019184295A1 - Method and apparatus for word prediction with no preceding text, and electronic device - Google Patents

Abstract

Provided are a method and apparatus for word prediction with no preceding text, and an electronic device. The method comprises: acquiring a preset prediction strategy after obtaining an instruction for prediction with no preceding text, wherein the preset prediction strategy at least comprises a strategy for word prediction based on user information and/or time information; determining a predicted word according to the strategy, at least comprised in the acquired preset prediction strategy, for word prediction based on user information and/or time information; and displaying the determined predicted word. It can be seen that in the embodiments of the present application, word prediction can be conducted based on user information and/time information, so that the correlation between a determined predicted word and a user and/or time is increased, and the user's attention and clicking rate are increased to a certain extent; and prediction with no preceding text is no longer carried out only based on historical input information and/or application software which is operated at present. A prediction approach for word prediction is added, and prediction with no preceding text is carried out more intelligently.

Description

Method, device and electronic device for predicting empty words

The present application claims priority to Chinese Patent Application No. 20181027708, filed on March 30, 2018, the entire disclosure of which is hereby incorporated by reference. In this application.

Technical field

The present application relates to the field of word prediction technology, and in particular, to a method, an apparatus, and an electronic device for predicting a word above.

Background technique

The above prediction technique refers to: after the user adjusts the keyboard of the input method application software, the input method application software predicts the predicted word based on the historical input information and/or the currently operated application software, and presents it to the user for the user to select the input. Technology.

In the above prediction process of the input method application software, after the user adjusts the keyboard of the input method application software, the input method application software may first determine the high frequency word input by the user history, that is, the input frequency is higher than a certain threshold. The input method application software displays the high frequency word determined above as a predictive word for the user to select input; or, after the user adjusts the keyboard of the input method application software, the input method application software may first determine the current operation. The application software further determines a high frequency word input by the user history in the currently operated application software, that is, a word whose input frequency is higher than a certain threshold, and the input method application software displays the high frequency word determined above as a prediction word. For users to choose input, and so on. For example, when the user just adjusts the keyboard, the input method application software determines that the currently operating application software is the game application software and determines that the input frequency of the word “Run” is higher than a certain threshold, then the input method application software will “Run” above. "The words are displayed as predictive words." For another example, when the user just adjusts the keyboard, the input method application software determines that the currently operated application software is the chat application software and determines that the input frequency of the word “Hello” is higher than a certain threshold, then the input method application software will “ Words such as "Hello" are displayed as predictive words.

In the above-mentioned prediction process of the relevant input method application software, the prediction word is predicted only based on the historical input information and/or the currently operating application software, and the prediction mode is monotonous and not intelligent enough.

Summary of the invention

The purpose of the embodiments of the present application is to provide a method, an apparatus, and an electronic device for predicting a word above, so as to achieve more intelligent prediction of the above, and to improve the degree of attention and click rate of the user to a certain extent. The specific technical solutions are as follows:

In one aspect, an embodiment of the present application provides a method for predicting a word above, the method comprising:

After acquiring the above prediction instruction, acquiring a preset prediction policy, where the preset prediction strategy includes at least: a policy for performing word prediction based on user information and/or time information;

Determining a predicted word based on a strategy for performing word prediction based on user information and/or time information, based on the acquired preset prediction strategy;

Show the predicted words determined.

Optionally, the preset prediction policy includes: a policy for performing word prediction based on the first type of time information;

And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including:

Get the current time of the electronic device;

Determining, by the preset correspondence, a first preset time period that matches the current time, as the target time segment, where the preset correspondence relationship includes: each prediction candidate word and the first preset time Correspondence of segments;

From the preset correspondence, the prediction candidate words corresponding to the target time period are determined as prediction words.

Optionally, the preset prediction policy includes: a policy for performing word prediction based on the second type of time information;

And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including:

Get the current date of the electronic device;

Matching the current date with the first holiday database, wherein the first holiday database stores a correspondence between each preset holiday candidate word and a holiday date;

When the matching is successful, from the first holiday database, the preset holiday candidate words whose corresponding holiday date is the same as the current date are determined as the predicted words.

Optionally, the preset prediction policy includes: a policy for performing word prediction based on user information;

And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including:

Get the ID of the application that is currently operating;

When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled;

Obtaining an identifier of the current chat object when determining that the preset auxiliary permission is enabled;

The acquired identifier of the current chat object is determined as a predicted word.

Optionally, the method further includes:

When it is determined that the preset auxiliary permission is not enabled, the setting information is output, where the setting information includes: prompting the user to open the path information of the preset auxiliary right.

Optionally, the preset prediction policy includes: a policy for performing word prediction based on user information and first type time information;

And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including:

Get the ID of the currently operating application and obtain the current time of the electronic device;

When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled;

When it is determined that the preset auxiliary permission is enabled, the identifier of the current chat object is obtained;

Determining, from the pre-stored historical input words, a word corresponding to the current chat object and corresponding to the current time, and the corresponding input number is higher than a predetermined input threshold, as a predictive word, where The pre-stored historical input word includes: a word entered by the user for each second preset time period for the identifier of the current chat object.

Optionally, the preset prediction policy includes: a policy for performing word prediction based on user information and second type time information;

And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including:

Get the ID of the currently operating application and get the current date of the electronic device;

When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled;

When it is determined that the preset auxiliary permission is enabled, the identifier of the current chat object is obtained;

Matching the identifier of the current chat object and the current date with a second holiday database, wherein the second holiday database stores an identifier of each object, a preset reminder date, and a preset reminder candidate word. Correspondence relationship;

When the matching is successful, determining, from the second holiday database, that the identifier of the corresponding object is the same as the identifier of the current chat object, and the preset reminder candidate date corresponding to the preset date is the same as the current date. As a predictive word.

Optionally, the preset prediction policy includes at least: a policy for performing word prediction based on the first type of time information, a policy for performing word prediction based on the second type of time information, a policy for predicting words based on user information, based on user information, and The first type of time information carries out a strategy of word prediction and at least two types of strategies for performing word prediction based on user information and second type of time information;

And the method further includes: before the step of determining a predicted word based on the user-based and/or time information based on the acquired preset prediction policy, the method further includes:

Obtaining a priority corresponding to each type of policy included in the preset prediction policy;

And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including:

The prediction words are determined based on each type of strategy included in the acquired preset prediction strategy according to the respective priorities of each type of the obtained strategy.

On the other hand, an embodiment of the present application provides an air word prediction apparatus, where the apparatus includes:

a first acquiring module, configured to acquire a preset prediction policy after acquiring the foregoing prediction instruction, where the preset prediction policy includes at least: a policy for performing word prediction based on user information and/or time information;

a determining module, configured to determine a predicted word based on a strategy for performing word prediction based on the user information and/or the time information included in the acquired preset prediction policy;

A presentation module for presenting the determined predictive words.

Optionally, the preset prediction policy includes: a policy for performing word prediction based on the first type of time information;

The determining module includes:

a first acquiring unit, configured to acquire a current time of the electronic device;

a first determining unit, configured to determine, from the preset correspondence, a first preset time period that matches the current time, as a target time segment, where the preset correspondence includes: each prediction candidate Correspondence between the word and the first preset time period;

a second determining unit, configured to determine, from the preset correspondence, a prediction candidate word corresponding to the target time segment as a predicted word.

Optionally, the preset prediction policy includes: a policy for performing word prediction based on the second type of time information;

The determining module includes:

a second acquiring unit, configured to acquire a current date of the electronic device;

a first matching unit, configured to match the current date with the first holiday database, wherein the first holiday database stores a correspondence between each preset holiday candidate word and a holiday date;

And a third determining unit, configured to, when the matching is successful, determine, from the first holiday database, a preset holiday candidate word whose corresponding holiday date is the same as the current date, as the predicted word.

Optionally, the preset prediction policy includes: a policy for performing word prediction based on user information;

The determining module includes:

a third obtaining unit, configured to acquire an identifier of the currently operated application;

a first determining unit, configured to determine, according to the identifier of the currently operated application, whether the currently operated application is a preset chat application, and determine whether the preset auxiliary permission of the electronic device is enabled;

a fourth obtaining unit, configured to acquire an identifier of the current chat object when determining that the preset auxiliary permission is enabled;

And a fourth determining unit, configured to determine the acquired identifier of the current chat object as a predicted word.

Optionally, the determining module further includes:

The output unit is configured to output setting information when the preset auxiliary permission is not turned on, where the setting information includes: prompting the user to open the path information of the preset auxiliary right.

Optionally, the preset prediction policy includes: a policy for performing word prediction based on user information and first type time information;

The determining module includes:

a fifth obtaining unit, configured to acquire an identifier of the currently operated application, and acquire a current time of the electronic device;

a second determining unit, configured to determine, according to the identifier of the currently operated application, whether the currently operated application is a preset chat application, and determine whether the preset auxiliary permission of the electronic device is enabled;

a sixth obtaining unit, configured to acquire an identifier of the current chat object when determining that the preset auxiliary permission is enabled;

a fifth determining unit, configured to determine, from the pre-stored historical input words, a word corresponding to the identifier of the current chat object and corresponding to the current time, and the corresponding input number is higher than a predetermined input threshold, As a predictive word, the pre-stored historical input word includes: a word entered by the user for each second preset time period for the identifier of the current chat object.

Optionally, the preset prediction policy includes: a policy for performing word prediction based on user information and second type time information;

The determining module includes:

a seventh obtaining unit, configured to acquire an identifier of the currently operated application, and obtain a current date of the electronic device;

a third determining unit, configured to determine, according to the identifier of the currently operated application, whether the currently operated application is a preset chat application, and determine whether the preset auxiliary permission of the electronic device is enabled;

An eighth obtaining unit, configured to acquire an identifier of the current chat object when determining that the preset auxiliary permission is enabled;

a second matching unit, configured to match the identifier of the current chat object and the current date with a second holiday database, wherein the second holiday database stores an identifier of each object, a preset reminder date, and Presetting the correspondence between candidate words;

a sixth determining unit, configured to: when the matching is successful, determine, from the second holiday database, that the identifier of the corresponding object is the same as the identifier of the current chat object, and the corresponding preset reminder date is the same as the current date The preset reminds the candidate as a predictive word.

Optionally, the preset prediction policy includes at least: a policy for performing word prediction based on the first type of time information, a policy for performing word prediction based on the second type of time information, a policy for predicting words based on user information, based on user information, and The first type of time information carries out a strategy of word prediction and at least two types of strategies for performing word prediction based on user information and second type of time information;

The device also includes:

a second acquiring module, configured to perform a word prediction based on the user information and/or the time information based on the acquired preset prediction policy, and obtain the preset prediction strategy before determining the predicted word The corresponding priority of each type of strategy included;

The determining module is specifically configured to

The prediction words are determined based on each type of strategy included in the acquired preset prediction strategy according to the respective priorities of each type of the obtained strategy.

On the other hand, an embodiment of the present application provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete communication with each other through the communication bus;

a memory for storing a computer program;

The processor, when used to execute the computer program stored in the memory, implements the steps of the above-mentioned empty word prediction method provided by the embodiments of the present application.

On the other hand, the embodiment of the present application provides a computer readable storage medium, where the computer readable storage medium stores a computer program, and when the computer program is executed by the processor, the foregoing An empty word prediction method step as described above.

On the other hand, the embodiment of the present application provides a computer program product, when it is run on a computer, causing the computer to execute the step of the above-mentioned word prediction method according to any of the above embodiments.

In the embodiment of the present application, after obtaining the above prediction instruction, the preset prediction strategy is obtained, where the preset prediction strategy includes at least: a policy for performing word prediction based on user information and/or time information; and based on the acquired preset Predicting the strategy, determining the predictive words; presenting the determined predictive words. It can be seen that, in the embodiment of the present application, the word prediction can be performed based on the user information and/or the time information, so that the determined predicted words are more related to the user and/or the time, and the user's attention and the click rate are improved to some extent, and It is no longer a single application based on historical input information and/or currently operating applications, which increases the prediction of word prediction and enables more intelligent predictions. Of course, implementing any of the products or methods of the present application necessarily does not necessarily require all of the advantages described above to be achieved at the same time.

DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings to be used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present application, and other drawings can be obtained according to the drawings without any creative work for those skilled in the art.

FIG. 1 is a schematic flowchart diagram of a method for predicting an empty word provided by an embodiment of the present application;

2 is a schematic flowchart of determining a predicted word according to an embodiment of the present application;

FIG. 3 is a schematic diagram of another process for determining a predicted word according to an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of another process for determining a predicted word according to an embodiment of the present application;

FIG. 5 is a schematic diagram of another process for determining a predicted word according to an embodiment of the present disclosure;

FIG. 6 is a schematic diagram of another process for determining a predicted word according to an embodiment of the present application;

FIG. 7 is a schematic diagram of another process for determining a predicted word according to an embodiment of the present application;

FIG. 8 is another schematic flowchart of a method for predicting a word in the air according to an embodiment of the present disclosure;

FIG. 9 is a schematic structural diagram of an air word prediction apparatus according to an embodiment of the present disclosure;

FIG. 10 is another schematic structural diagram of a determining module according to an embodiment of the present disclosure;

FIG. 11 is another schematic structural diagram of a determining module according to an embodiment of the present disclosure;

FIG. 12 is another schematic structural diagram of a determining module according to an embodiment of the present disclosure;

FIG. 13 is another schematic structural diagram of a determining module according to an embodiment of the present disclosure;

FIG. 14 is another schematic structural diagram of a determining module according to an embodiment of the present disclosure;

15 is another schematic structural diagram of a determining module according to an embodiment of the present application;

16 is another schematic structural diagram of an air word prediction apparatus according to an embodiment of the present application;

FIG. 17 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

detailed description

The technical solutions in the embodiments of the present application are clearly and completely described in the following with reference to the drawings in the embodiments of the present application. It is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

The embodiment of the present application provides a method, a device, and an electronic device for predicting a word above, so as to achieve more intelligent prediction of the above, and to improve the degree of attention and click rate of the user to a certain extent.

As shown in FIG. 1 , an embodiment of the present application provides a method for predicting a word above, which may include the following steps:

S101: After obtaining the upper prediction instruction, acquiring a preset prediction policy, where the preset prediction policy at least includes: a policy for performing word prediction based on user information and/or time information;

It can be understood that the method for predicting the vocabulary provided by the embodiment of the present application can be applied to a first application, where the first application is installed on an electronic device, and the electronic device can be a computer, a smart phone, a game machine, or the like. . In one case, the first application may exist in the form of dedicated client software, such as a special input method application software, or may be in the form of a plug-in of related client software, for example: related Plugin for input method application software.

In the embodiment of the present application, the foregoing empty prediction instruction may be an instruction automatically generated by the first application when the user manually raises or the electronic device automatically raises the keyboard of the first application. After the first application obtains the above-mentioned empty prediction instruction, the preset prediction strategy is obtained, and the preset prediction strategy may be preset by the user according to his own needs, or may be set by default for the first application, which is all possible. . The default setting mentioned in the embodiment of the present application may refer to a setting when the first application is installed on the electronic device.

The foregoing preset prediction strategy includes at least a policy of performing word prediction based on user information and/or time information. The user information may include information of the user itself, and may include information of an object that communicates with the user, for example, an identifier of the current chat object of the user, and information set by the user for the current chat object, for example, the current chat object. Nickname, reminder content and remarks. The above time information may include a date and/or a specific time, such as x, y, z, and the like.

S102: Determine, according to the acquired preset prediction policy, a policy for performing word prediction based on user information and/or time information, and determine a predicted word;

After the first application obtains the preset prediction policy, the first application may continue to determine the predicted word based on the at least one of the preset prediction policies that performs word prediction based on the user information and/or the time information. For example, when the preset prediction strategy includes a policy for performing word prediction based on user information, that is, determining a predicted word based on user information; when the preset predicted policy includes a policy for predicting words based on time information, that is, based on time The information is used to determine a predicted word; when the preset prediction strategy includes a policy for performing word prediction based on user information and time information, that is, based on user information and time information, the predicted word is determined.

S103: Display the determined prediction words.

After the first application determines the predicted word, the predicted word determined above is displayed. In one case, the first application can present the determined predictive words in a preset predictive word display area. In an implementation manner, the first application determines that there are multiple predicted words. In one case, the first application may display the determined predicted words in a random order; in another case, An application can present the determined predictive words based on a pre-set display order.

In the embodiment of the present application, after acquiring the above prediction instruction, acquiring a preset prediction policy, where the preset prediction strategy includes at least: a policy for performing word prediction based on user information and/or time information; In the prediction strategy, at least a strategy for word prediction based on user information and/or time information is included; and the determined prediction words are displayed. It can be seen that, in the embodiment of the present application, the word prediction can be performed based on the user information and/or the time information, so that the determined predicted words are more related to the user and/or the time, and the user's attention and the click rate are improved to some extent, and It is no longer a single application based on historical input information and/or currently operating applications, which increases the prediction of word prediction and enables more intelligent predictions.

In an implementation manner, the preset prediction strategy includes: a strategy for performing word prediction based on the first type of time information;

As shown in FIG. 2, the step of performing the word prediction based on the user information and/or the time information based on the obtained preset prediction policy may include:

S201: Acquire a current time of the electronic device.

S202: Determine, from the preset correspondence, a first preset time period that matches the current time, as the target time segment, where the preset correspondence includes: each predicted candidate word and the first preset time period. Correspondence relationship

S203: Determine, from the preset correspondence, a prediction candidate word corresponding to the target time segment as a prediction word.

In the embodiment of the present application, the preset correspondence is pre-stored in the local device or the connected storage device of the electronic device where the first application is located. Specifically, the preset correspondence includes: each prediction candidate word and the first The correspondence of preset time periods. The first preset time period may be: a time period obtained by being divided in advance 24 hours a day. The first preset time period may be divided by the user according to his own needs, or may be determined by the first application based on the experience value. For example, 24 hours a day is divided into three time segments, which are: a first preset time period of 6:00-12:00, a first preset time period of 12:00-18:00, and a first preset time period. 18:00-24:00. In this case, the preset correspondence may include: the first preset time period 6:00-12:00 corresponds to the prediction candidate word “Good morning”, and the first preset time period 12:00-18:00 corresponds to the prediction candidate. The word "Good afternoon", the first preset time period 18:00-24:00 corresponds to the prediction candidate words "Good evening" and/or "Good night".

When the preset prediction policy acquired by the first application includes: a policy for performing word prediction based on the first type of time information, the first application acquires the current time of the electronic device where the device is located, and associates the current time with the preset relationship. Performing a matching, determining a first preset time period that includes the current time, as a first preset time period that matches the current time, that is, as a target time segment, and further, determining a preset correspondence relationship, where the target time segment corresponds to a candidate for prediction as a predictive term.

According to the above example, when the current time of the electronic device that the first application acquires is 7:00, in the preset correspondence, the first preset time period matching the current time 7:00 is 6:00- 12:00, that is, the target time period is 6:00-12:00, and the electronic device determines, in the preset correspondence, that the prediction candidate word corresponding to the target time period 6:00-12:00 is “Good morning”, The predicted candidate word "Good morning" is used as a predictive word.

The word prediction is performed by the first type of time information described above, so that the word prediction method of the above-mentioned word prediction process is more and more intelligent. And closely related to time information, it can attract users' attention and click rate to a certain extent.

In an implementation manner, the preset prediction strategy includes: a strategy for performing word prediction based on the second type of time information;

As shown in FIG. 3, the step of performing the word prediction based on the user information and/or the time information based on the obtained preset prediction policy may include:

S301: Acquire a current date of the electronic device;

S302: Match the current date with the first holiday database, where the first holiday database stores a correspondence between each preset holiday candidate word and the holiday date;

S303: When the matching is successful, determining, from the first holiday database, the preset holiday candidate words whose corresponding holiday date is the same as the current date, as the predicted word.

In the embodiment of the present application, a first holiday database is pre-stored in the local or connected storage device of the electronic device where the first application is located, where each preset holiday candidate word and holiday is stored in the first holiday database. The correspondence of dates. For example, the preset holiday candidate "Happy Valentine's Day" corresponds to the holiday date February 14th, and the preset holiday candidate "International Labor Day" or "May Day" corresponds to the holiday date May 1st.

When the preset prediction strategy acquired by the first application includes: a policy for performing word prediction based on the second type of time information, the first application acquires the current date of the electronic device in which it is located, and matches the current date with the first holiday database. That is, matching with the correspondence between each preset holiday candidate word stored in the first holiday database and the holiday date. When the matching is successful, that is, when there is a corresponding relationship including the current date, the first holiday database is determined from the first holiday database. The preset holiday candidate words corresponding to the holiday date and the current date are used as prediction words.

According to the above example, the current date of the electronic device that the first application acquires is February 14th, and the holiday date stored in the first holiday database is successfully matched on February 14th, and the first application is from the first holiday database. A predetermined holiday candidate word "Happy Valentine's Day" having the same holiday date as the current date of February 14 is determined as a predictive word.

Word prediction by the second type of time information described above makes the word prediction method of the above-mentioned word prediction process more and more intelligent. When the current date is a holiday date, the predicted holiday candidate words for the holiday are predicted, which can attract more attention of the user, thereby improving the user's click rate and saving the time taken by the user to manually play the preset holiday candidate words.

In an implementation manner, the preset prediction strategy includes: a strategy for performing word prediction based on user information;

As shown in FIG. 4, the step of performing the word prediction based on the user information and/or the time information based on the obtained preset prediction policy may include:

S401: Obtain an identifier of an application currently operated;

S402: Determine, according to the identifier of the currently operated application, whether the currently operated application is a preset chat application, determine whether the preset auxiliary permission of the electronic device is enabled;

S403: When determining that the preset auxiliary permission is enabled, obtaining an identifier of the current chat object;

S404: Determine the acquired identifier of the current chat object as a predicted word.

In the embodiment of the present application, the local or connected storage device of the electronic device where the first application is located may pre-store the identifiers of the plurality of preset chat application applications. When the preset prediction strategy acquired by the first application includes: a policy for performing word prediction based on the user information, the first application acquires an identifier of the currently operated application, and respectively obtains the acquired identifier of the currently operated application. The stored identifier of the preset chat application is compared; when the identifier of the stored preset chat application has the same identifier as the acquired currently operated application, the first application determines that The currently acquired application obtained is the default chat class application. When the first application determines that the acquired currently operated application is a preset chat type application, the first application continues to execute the subsequent empty word prediction process.

When the preset auxiliary authority of the electronic device is in an on state, the first application may acquire information about the interface of the electronic device and the change of the interface content. In an implementation manner, when the operating system of the electronic device where the first application is located is an Android system, the preset auxiliary permission of the electronic device may be an auxiliary permission Accessibility. When the auxiliary accessibility is enabled, that is, the preset auxiliary permission is enabled, the first application may continue to obtain the identifier of the current chat object, and the first application may determine the identifier of the current chat object obtained as the prediction. word. In one case, the identifier of the current chat object may be: a nickname or an account number or a note of the current chat object. Through the above-mentioned user information for word prediction, the word prediction method of the above-mentioned word prediction process is more and more intelligent, which attracts the user's attention to a certain extent and improves the user's click rate.

In one embodiment, when the first application has the right to obtain the chat information of the current chat object in the currently operated application, in the embodiment of the present application, the first application may further be based on the current chat object. Chat information, word prediction, this is also possible. For example, when the latest chat information of the current chat object is obtained as a problem, in the embodiment of the present application, the first application may use the answer of the above question as a predictive word and display it.

In an implementation manner, as shown in FIG. 5, the method may include the following steps:

S501: After obtaining the above prediction instruction, acquiring a preset prediction strategy, where the preset prediction strategy includes: a policy for performing word prediction based on user information;

S502: Obtain an identifier of an currently operated application.

S503: determining, according to the identifier of the currently operated application, that the currently operated application is a preset chat application, determining whether the preset auxiliary permission of the electronic device is enabled; and when determining that the preset auxiliary permission is enabled, executing S504, When it is determined that the preset auxiliary authority is not turned on, executing S507;

S504: Acquire an identifier of a current chat object.

S505: The acquired identifier of the current chat object is used as a prediction word;

S506: displaying the determined prediction words;

S507: Output setting information, where the setting information includes: prompting the user to open path information of the preset auxiliary authority.

S501 is the same as S101 shown in FIG. 1, S502 is the same as S401 shown in FIG. 4, S503 is the same as S402 shown in FIG. 4, S504 is the same as S403 shown in FIG. 4, S505 is the same as FIG. The S404 shown is the same, and the above S506 is the same as S103 shown in FIG.

In order to achieve a better prediction function for the user, when the first application determines that the preset auxiliary permission of the electronic device is not enabled, that is, the preset auxiliary permission is in the closed state, the first application may output the prompting user. The setting information of the path information of the preset auxiliary authority is turned on to prompt the user to open the preset auxiliary authority, and the prediction mode of the above prediction is increased. Increasing the user's attention to the predicted words predicted by the first application, and improving the user's click rate on the predicted words.

In one case, the first application may output the above setting information in the form of a pop-up window, or may output the above-mentioned setting information in the form of a page jump, which is all possible.

In an implementation manner, as shown in FIG. 6, the preset prediction strategy includes: a policy for performing word prediction based on user information and first type time information;

And the step of determining a predicted word according to the at least one of the obtained preset prediction strategies based on the user information and/or the time information, and the determining the predicted word may include:

S601: Obtain an identifier of the currently operated application, and obtain a current time of the electronic device.

S602: determining, according to the identifier of the currently operated application, whether the currently operated application is a preset chat application, determining whether the preset auxiliary permission of the electronic device is enabled;

S603: When determining that the preset auxiliary permission is enabled, obtaining an identifier of the current chat object;

Here, S602 is the same as S402 shown in FIG. 4, and S603 is the same as S403 shown in FIG.

S604: Determine, from the pre-stored historical input words, a word corresponding to the current chat object and corresponding to the current time, and the corresponding input number is higher than a predetermined input threshold, as a predictive word.

The pre-stored historical input word includes: a word entered by the user in the second preset time period for the identifier of the current chat object.

In the embodiment of the present application, when the preset prediction policy includes a policy for performing word prediction based on the user information and the first type of time information, after the keyboard of the first application is revoked, the first application acquires the currently operated application. Identify and obtain the current time of the electronic device, and then determine whether the preset auxiliary permission of the electronic device is turned on. When the preset auxiliary permission is enabled, the first application may continue to obtain the identifier of the current chat object, and the first application may determine the predicted word based on the acquired identifier of the current chat object and the current time.

In one case, the historical chat information of the user and the current chat object, and the second preset corresponding to the sending time or the receiving time corresponding to each information in the historical chat information are pre-stored in the local or connected storage device of the electronic device. period. In the embodiment of the present application, the information input by the user in the historical chat information is referred to as a historical input word. After the first application obtains the identifier of the current chat object and the current time, the acquired current chat object identifier and the current time are matched with the pre-stored historical input words, that is, from the pre-stored historical input words. A word corresponding to the current chat object and corresponding to the current time, and the corresponding number of input times is higher than a predetermined input threshold, as a predictive word.

The second preset time period may be divided by the user according to the user's needs, or may be determined by the first application based on the experience value. The second preset time period is divided based on twenty-four hours a day. The word corresponding to the current time may be: a word corresponding to the second preset time period including the current time in the pre-stored historical input word;

The predetermined input threshold may be set by the user according to his own needs, or may be set by the first application by default.

For example, the current time that the first application obtains is 17:00, and it is determined that the currently operated application is a preset chat application, and the preset auxiliary permission is determined to be opened, and the identifier of the current chat object obtained is “ Husband"

The pre-stored historical input word includes: the identifier for the object "husband" is input in the second preset time period from 17:00 to 17:30, and the corresponding input number is higher than the predetermined input threshold, including "husband, I am off work. "The identification of the object "husband" is entered in the second preset time period from 17:30 to 18:00, and the corresponding input number is higher than the predetermined input threshold including "I am home";

The first application determines, from the pre-stored historical input words, the word corresponding to the current husband's identifier "husband" and corresponding to the current time 17:00, and the corresponding number of input times is higher than the predetermined input threshold is "husband" I am off work," as a predictive term.

In an implementation manner, as shown in FIG. 7, the foregoing preset prediction strategy includes: a policy for performing word prediction based on user information and second type time information;

And the step of determining a predicted word according to the at least one of the obtained preset prediction strategies based on the user information and/or the time information, and the determining the predicted word may include:

S701: Obtain an identifier of the currently operated application, and obtain a current date of the electronic device;

S702: determining, according to the identifier of the currently operated application, whether the currently operated application is a preset chat application, determining whether the preset auxiliary permission of the electronic device is enabled;

S703: When determining that the preset auxiliary permission is enabled, obtaining an identifier of the current chat object;

The above S702 is the same as S402 shown in FIG. 4, and S703 is the same as S403 shown in FIG.

S704: Match the identifier of the current chat object and the current date with the second holiday database;

The second holiday database stores an identifier of each object, a correspondence between a preset reminder date and a preset reminder candidate word;

S705: When the matching is successful, determining, from the second holiday database, that the identifier of the corresponding object is the same as the identifier of the current chat object, and the preset preset reminder candidate whose preset reminding date is the same as the current date is used as the predicted word.

In the embodiment of the present application, the second holiday database is stored in the local or connected storage device of the electronic device, and the second holiday database includes: an identifier of each object, a preset reminder date, and a preset reminder candidate word. Correspondence. The above correspondence may be set by the user, for example, the user sets according to the birthday date of the object he is chatting with; or the user sets according to the special date agreed between the user and the chat object.

For example, the preset reminder date may be: a birthday date of the object corresponding to the identifier of the object. At this time, the preset reminder candidate may include “Happy Birthday” or “ID of the object + happy birthday”; or The preset reminder date may be: the above special date, and the preset reminder candidate words may be set by the user.

In one implementation, as shown in FIG. 8, the method may include the following steps:

S801: After obtaining the above prediction instruction, acquiring a preset prediction strategy, where the preset prediction strategy includes at least: a strategy for performing word prediction based on the first type of time information, and a policy strategy for performing word prediction based on the second type of time information. a strategy for word prediction based on user information and first type of time information, and at least two types of strategies for word prediction based on user information and second type of time information;

S802: Acquire a priority corresponding to each type of policy included in the preset prediction policy.

S803: Determine a prediction term according to each type of policy included in the acquired preset prediction policy according to the corresponding priority of each type of the obtained strategy.

S804: Display the determined prediction words.

In the embodiment of the present application, in order to better provide the user with the above-mentioned word prediction function, the foregoing preset prediction strategy includes at least: a strategy for performing word prediction based on the first type of time information, and a word prediction based on the second type of time information. A policy strategy, a strategy for word prediction based on user information and first type of time information, and at least two types of strategies for word prediction based on user information and second type of time information may preset a priority for each type of policy. Levels, according to the respective priorities of each type of policy, determine the predicted words based on each type of strategy included in the obtained preset prediction strategy.

For example, when the preset prediction strategy includes: a strategy for word prediction based on the first type of time information, a strategy for word prediction based on the second type of time information, and a strategy for word prediction based on user information, the obtained priority is: The priority of the strategy for word prediction based on the first type of time information is 1, the priority of the strategy for word prediction based on the second type of time information is 2, and the priority of the strategy for word prediction based on user information is 3 Wherein, the greater the value, the higher the priority; at this time, the first application first performs a word prediction strategy based on the user information, and performs word prediction; and then performs a word prediction strategy based on the second type of time information to perform word prediction; The first type of time information is used to perform word prediction strategies for word prediction.

In the embodiment of the present application, the priority corresponding to each type of the foregoing policy may be set by the user or may be set by the first application by default.

In one case, in the embodiment of the present application, the foregoing policy for performing word prediction based on the first type of time information, the strategy for performing word prediction based on the second type of time information, and the strategy for performing word prediction based on user information may also be used. At least one type of strategy, in combination with related technologies, based on historical input information and/or currently operating application software, performs a policy of predicting words above, and jointly provides the user with the above-mentioned word prediction function. That is, the preset prediction strategy includes: a policy for performing word prediction based on the first type of time information, a strategy for performing word prediction based on the second type of time information, a policy for predicting words based on user information, based on user information, and the first The time-information-based strategy for word prediction and at least one of the strategies for word prediction based on user information and second-class time information may also include application software based on historical input information and/or current operation in related technologies. Conduct a strategy for empty word prediction.

The priority of the above-mentioned policy for predicting words based on user information and/or time information provided in the embodiments of the present application is higher than the strategy for predicting words in the related art.

The method for predicting the above-mentioned words provided by the embodiments of the present application is described below with reference to a specific embodiment:

After acquiring the above prediction instruction, the first application acquires a preset prediction strategy, where the preset prediction strategy includes at least: a strategy for performing word prediction based on the first type of time information, and a word prediction based on the second type of time information. Strategies, strategies for word prediction based on user information, and strategies for predicting words based on historical input information and/or current operations;

The first application obtains a priority corresponding to each type of policy included in the preset prediction policy, where the policy for performing word prediction based on the second type of time information corresponds to a priority of 4, and the word is based on the first type of time information. The predicted policy has a priority of 3, the policy based on the user information for the word prediction is 2, and the policy based on the historical input information and/or the currently operated application software for performing the above-mentioned word prediction is 1;

The first application acquires the current date of the electronic device in which it is located based on the acquired priority, and matches the current date with the first holiday database. When the matching is successful, and the first holiday database is determined, the corresponding holiday date and current are determined. When the default holiday candidate with the same date is "Happy Valentine's Day", "Happy Valentine's Day" is used as the predictive word;

The first application obtains the current time of the electronic device in which it is located, and determines a first preset time period that matches the current time from the preset correspondence, as the target time segment, and determines the target time from the preset correspondence relationship. The prediction candidate word corresponding to the segment is “Good morning”, and “Good morning” is used as the prediction word;

The first application acquires an identifier of the currently operated application, and determines, according to the identifier of the currently operated application, whether the currently operated application is a preset chat application, determining whether the preset auxiliary permission of the electronic device is enabled; When the preset auxiliary permission is enabled, the identifier of the current chat object is obtained as “Ellie”; the obtained “Ellie” is determined as the predicted word;

The first application displays the above-defined predicted words "Happy Valentine's Day, Good morning, Ellie";

When the first application determines that the preset auxiliary permission of the electronic device is not turned on, the policy of performing the above-mentioned word prediction based on the historical input information and/or the currently operated application software may be continued, and the word prediction is performed to obtain the predicted word, which is “The At this time, the first application displays the above-predicted predicted words "Happy Valentine's Day, Good morning, The".

Corresponding to the above method embodiment, the embodiment of the present application provides an empty word prediction device. As shown in FIG. 9, the device includes:

The first obtaining module 910 is configured to obtain a preset prediction policy after acquiring the foregoing prediction instruction, where the preset prediction policy includes at least: a policy for performing word prediction based on user information and/or time information;

The determining module 920 is configured to determine a predicted word based on a strategy for performing word prediction based on the user information and/or the time information included in the acquired preset prediction policy;

The display module 930 is configured to display the determined prediction words.

In the embodiment of the present application, after acquiring the above prediction instruction, acquiring a preset prediction policy, where the preset prediction strategy includes at least: a policy for performing word prediction based on user information and/or time information; The prediction strategy includes at least a policy of performing word prediction based on user information and/or time information, determining a predicted word, and displaying the determined predicted word. It can be seen that, in the embodiment of the present application, the word prediction can be performed based on the user information and/or the time information, so that the determined predicted words are more related to the user and/or the time, and the user's attention and the click rate are improved to some extent, and It is no longer a single application based on historical input information and/or currently operating applications, which increases the prediction of word prediction and enables more intelligent predictions.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on the first type of time information;

As shown in FIG. 10, the determining module 920 includes:

The first obtaining unit 1001 is configured to acquire a current time of the electronic device.

The first determining unit 1002 is configured to determine, from the preset correspondence, a first preset time period that matches the current time, as the target time segment, where the preset correspondence includes: each prediction Correspondence between the candidate word and the first preset time period;

The second determining unit 1003 is configured to determine, from the preset correspondence, a prediction candidate word corresponding to the target time segment as a prediction word.

In an implementation manner, the preset prediction strategy includes: a strategy for performing word prediction based on the second type of time information;

As shown in FIG. 11, the determining module 920 includes:

The second obtaining unit 1101 is configured to acquire a current date of the electronic device.

The first matching unit 1102 is configured to match the current date with the first holiday database, wherein the first holiday database stores a correspondence between each preset holiday candidate word and a holiday date;

The third determining unit 1103 is configured to, when the matching is successful, determine, from the first holiday database, a preset holiday candidate word whose corresponding holiday date is the same as the current date, as the predicted word.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on user information;

As shown in FIG. 12, the determining module 920 includes:

The third obtaining unit 1201 is configured to acquire an identifier of the currently operated application.

The first determining unit 1202 is configured to determine, according to the identifier of the currently operated application, that the currently operated application is a preset chat application, determine whether the preset auxiliary permission of the electronic device is enabled;

The fourth obtaining unit 1203 is configured to acquire an identifier of the current chat object when determining that the preset auxiliary right is turned on;

The fourth determining unit 1204 is configured to determine the acquired identifier of the current chat object as a predicted word.

In an implementation manner, based on the structures shown in FIG. 9 and FIG. 12, as shown in FIG. 13, the determining module 920 further includes:

The output unit 1301 is configured to output setting information when the preset auxiliary permission is not turned on, where the setting information includes: prompting the user to open the path information of the preset auxiliary right.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on user information and first type time information;

As shown in FIG. 14, the determining module 920 includes:

The fifth obtaining unit 1401 is configured to acquire an identifier of the currently operated application, and acquire a current time of the electronic device.

The second determining unit 1402 is configured to determine, according to the identifier of the currently operated application, whether the currently operated application is a preset chat application, and determine whether the preset auxiliary permission of the electronic device is enabled;

The sixth obtaining unit 1403 is configured to acquire an identifier of the current chat object when determining that the preset auxiliary permission is enabled;

a fifth determining unit 1404, configured to determine, from the pre-stored historical input words, a word corresponding to the identifier of the current chat object and corresponding to the current time, and the corresponding input times are higher than a predetermined input threshold As a predictive word, the pre-stored historical input word includes: a word entered by the user for each second preset time period for the identifier of the current chat object.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on user information and second type time information;

As shown in FIG. 15, the determining module 920 includes:

The seventh obtaining unit 1501 is configured to acquire an identifier of the currently operated application, and acquire a current date of the electronic device.

The third determining unit 1502 is configured to determine, according to the identifier of the currently operated application, whether the currently operated application is a preset chat application, and determine whether the preset auxiliary permission of the electronic device is enabled;

The eighth obtaining unit 1503 is configured to acquire an identifier of the current chat object when determining that the preset auxiliary permission is enabled;

The second matching unit 1504 is configured to match the identifier of the current chat object and the current date with a second holiday database, where the identifier of each object and the preset reminder date are stored in the second holiday database. Correspondence with preset reminder candidates;

The sixth determining unit 1505 is configured to: when the matching is successful, determine, from the second holiday database, that the identifier of the corresponding object is the same as the identifier of the current chat object, and the preset preset reminding date and the current date The same preset reminder candidate is used as the predictive word.

In an implementation manner, the preset prediction strategy includes at least: a policy for performing word prediction based on the first type of time information, a policy for performing word prediction based on the second type of time information, a strategy for performing word prediction based on the user information, based on The user information and the first type of time information perform a word prediction strategy and at least two types of strategies for word prediction based on the user information and the second type of time information;

As shown in FIG. 16, the device further includes:

The second obtaining module 1610 is configured to: perform a word prediction based on the user information and/or the time information based on the acquired preset prediction policy, and obtain the preset prediction strategy before determining the predicted word. The priority of each type of strategy included;

The determining module 920 is specifically configured to be used

The prediction words are determined based on each type of strategy included in the acquired preset prediction strategy according to the respective priorities of each type of the obtained strategy.

Corresponding to the above method embodiment, the embodiment of the present application further provides an electronic device, as shown in FIG. 17, including a processor 171, a communication interface 172, a memory 173, and a communication bus 174, wherein the processor 171, the communication interface 172 The memory 173 completes communication with each other through the communication bus 174.

The storage unit 173 is configured to store a computer program; wherein the computer program is the first application program mentioned in the embodiment of the present application;

The processor 171, when used to execute the computer program stored in the memory 173, implements the above-mentioned method for predicting the above-mentioned words provided by the embodiment of the present application, and may include the following steps:

After acquiring the above prediction instruction, acquiring a preset prediction policy, where the preset prediction strategy includes at least: a policy for performing word prediction based on user information and/or time information;

Determining the predicted word based on the acquired preset prediction strategy;

Show the predicted words determined.

In the embodiment of the present application, after acquiring the above prediction instruction, acquiring a preset prediction policy, where the preset prediction strategy includes at least: a policy for performing word prediction based on user information and/or time information; The prediction strategy includes at least a policy of performing word prediction based on user information and/or time information, determining a predicted word, and displaying the determined predicted word. It can be seen that, in the embodiment of the present application, the word prediction can be performed based on the user information and/or the time information, so that the determined predicted words are more related to the user and/or the time, and the user's attention and the click rate are improved to some extent, and It is no longer a single application based on historical input information and/or currently operating applications, which increases the prediction of word prediction and enables more intelligent predictions.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on the first type of time information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the current time of the electronic device;

Determining, by the preset correspondence, a first preset time period that matches the current time, as the target time segment, where the preset correspondence relationship includes: each prediction candidate word and the first preset time Correspondence of segments;

From the preset correspondence, the prediction candidate words corresponding to the target time period are determined as prediction words.

In an implementation manner, the preset prediction strategy includes: a strategy for performing word prediction based on the second type of time information;

And determining, according to the acquired preset prediction strategy, a policy for performing word prediction based on the user information and/or the time information, and determining the predicted word, including:

Get the current date of the electronic device;

Matching the current date with the first holiday database, wherein the first holiday database stores a correspondence between each preset holiday candidate word and a holiday date;

When the matching is successful, from the first holiday database, the preset holiday candidate words whose corresponding holiday date is the same as the current date are determined as the predicted words.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on user information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the ID of the application that is currently operating;

When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled;

Obtaining an identifier of the current chat object when determining that the preset auxiliary permission is enabled;

The acquired identifier of the current chat object is determined as a predicted word.

In an implementation manner, the method further includes:

When it is determined that the preset auxiliary permission is not enabled, the setting information is output, where the setting information includes: prompting the user to open the path information of the preset auxiliary right.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on user information and first type time information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the ID of the currently operating application and obtain the current time of the electronic device;

When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled;

When it is determined that the preset auxiliary permission is enabled, the identifier of the current chat object is obtained;

Determining, from the pre-stored historical input words, a word corresponding to the current chat object and corresponding to the current time, and the corresponding input number is higher than a predetermined input threshold, as a predictive word, where The pre-stored historical input word includes: a word entered by the user for each second preset time period for the identifier of the current chat object.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on user information and second type time information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the ID of the currently operating application and get the current date of the electronic device;

When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled;

When it is determined that the preset auxiliary permission is enabled, the identifier of the current chat object is obtained;

Matching the identifier of the current chat object and the current date with a second holiday database, wherein the second holiday database stores an identifier of each object, a preset reminder date, and a preset reminder candidate word. Correspondence relationship;

When the matching is successful, determining, from the second holiday database, that the identifier of the corresponding object is the same as the identifier of the current chat object, and the preset reminder candidate date corresponding to the preset date is the same as the current date. As a predictive word.

In an implementation manner, the preset prediction strategy includes at least: a policy for performing word prediction based on the first type of time information, a policy for performing word prediction based on the second type of time information, a strategy for performing word prediction based on the user information, based on The user information and the first type of time information perform a word prediction strategy and at least two types of strategies for word prediction based on the user information and the second type of time information;

The method for performing word prediction based on the user information and/or the time information based on the acquired preset prediction policy includes: before determining the predicted word, the method further includes:

Obtaining a priority corresponding to each type of policy included in the preset prediction policy;

And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including:

The prediction words are determined based on each type of strategy included in the acquired preset prediction strategy according to the respective priorities of each type of the obtained strategy.

The communication bus mentioned in the above electronic device may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in the figure, but it does not mean that there is only one bus or one type of bus.

The communication interface is used for communication between the above electronic device and other devices.

The memory may include a random access memory (RAM), and may also include a non-volatile memory (NVM), such as at least one disk storage. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

The above processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; or may be a digital signal processing (DSP), dedicated integration. Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component.

Corresponding to the foregoing method embodiments, the embodiment of the present application provides a computer readable storage medium, where the computer readable storage medium stores a computer program, and when the computer program is executed by the processor, the embodiment of the present application is provided. The method for predicting an empty word according to any of the above, may include the steps of:

After acquiring the above prediction instruction, acquiring a preset prediction policy, where the preset prediction strategy includes at least: a policy for performing word prediction based on user information and/or time information;

Determining the predicted word based on the acquired preset prediction strategy;

Show the predicted words determined.

In the embodiment of the present application, after acquiring the above prediction instruction, acquiring a preset prediction policy, where the preset prediction strategy includes at least: a policy for performing word prediction based on user information and/or time information; The prediction strategy includes at least a policy of performing word prediction based on user information and/or time information, determining a predicted word, and displaying the determined predicted word. It can be seen that, in the embodiment of the present application, the word prediction can be performed based on the user information and/or the time information, so that the determined predicted words are more related to the user and/or the time, and the user's attention and the click rate are improved to some extent, and It is no longer a single application based on historical input information and/or currently operating applications, which increases the prediction of word prediction and enables more intelligent predictions.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on the first type of time information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the current time of the electronic device;

Determining, by the preset correspondence, a first preset time period that matches the current time, as the target time segment, where the preset correspondence relationship includes: each prediction candidate word and the first preset time Correspondence of segments;

From the preset correspondence, the prediction candidate words corresponding to the target time period are determined as prediction words.

In an implementation manner, the preset prediction strategy includes: a strategy for performing word prediction based on the second type of time information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the current date of the electronic device;

Matching the current date with the first holiday database, wherein the first holiday database stores a correspondence between each preset holiday candidate word and a holiday date;

When the matching is successful, from the first holiday database, the preset holiday candidate words whose corresponding holiday date is the same as the current date are determined as the predicted words.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on user information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the ID of the application that is currently operating;

When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled;

Obtaining an identifier of the current chat object when determining that the preset auxiliary permission is enabled;

The acquired identifier of the current chat object is determined as a predicted word.

In an implementation manner, the method further includes:

When it is determined that the preset auxiliary permission is not enabled, the setting information is output, where the setting information includes: prompting the user to open the path information of the preset auxiliary right.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on user information and first type time information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the ID of the currently operating application and obtain the current time of the electronic device;

When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled;

When it is determined that the preset auxiliary permission is enabled, the identifier of the current chat object is obtained;

Determining, from the pre-stored historical input words, a word corresponding to the current chat object and corresponding to the current time, and the corresponding input number is higher than a predetermined input threshold, as a predictive word, where The pre-stored historical input word includes: a word entered by the user for each second preset time period for the identifier of the current chat object.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on user information and second type time information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the ID of the currently operating application and get the current date of the electronic device;

When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled;

When it is determined that the preset auxiliary permission is enabled, the identifier of the current chat object is obtained;

Matching the identifier of the current chat object and the current date with a second holiday database, wherein the second holiday database stores an identifier of each object, a preset reminder date, and a preset reminder candidate word. Correspondence relationship;

When the matching is successful, determining, from the second holiday database, that the identifier of the corresponding object is the same as the identifier of the current chat object, and the preset reminder candidate date corresponding to the preset date is the same as the current date. As a predictive word.

In an implementation manner, the preset prediction strategy includes at least: a policy for performing word prediction based on the first type of time information, a policy for performing word prediction based on the second type of time information, a strategy for performing word prediction based on the user information, based on The user information and the first type of time information perform a word prediction strategy and at least two types of strategies for word prediction based on the user information and the second type of time information;

The method for performing word prediction based on the user information and/or the time information based on the acquired preset prediction policy includes: before determining the predicted word, the method further includes:

Obtaining a priority corresponding to each type of policy included in the preset prediction policy;

And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including:

The prediction words are determined based on each type of strategy included in the acquired preset prediction strategy according to the respective priorities of each type of the obtained strategy.

Corresponding to the above method embodiment, the embodiment of the present application provides a computer program product, when it is run on a computer, causing the computer to perform the information reminding method step of any one of the foregoing embodiments:

After acquiring the above prediction instruction, acquiring a preset prediction policy, where the preset prediction strategy includes at least: a policy for performing word prediction based on user information and/or time information;

Determining the predicted word based on the acquired preset prediction strategy;

Show the predicted words determined.

In the embodiment of the present application, after acquiring the above prediction instruction, acquiring a preset prediction policy, where the preset prediction strategy includes at least: a policy for performing word prediction based on user information and/or time information; The prediction strategy includes at least a policy of performing word prediction based on user information and/or time information, determining a predicted word, and displaying the determined predicted word. It can be seen that, in the embodiment of the present application, the word prediction can be performed based on the user information and/or the time information, so that the determined predicted words are more related to the user and/or the time, and the user's attention and the click rate are improved to some extent, and It is no longer a single application based on historical input information and/or currently operating applications, which increases the prediction of word prediction and enables more intelligent predictions.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on the first type of time information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the current time of the electronic device;

Determining, by the preset correspondence, a first preset time period that matches the current time, as the target time segment, where the preset correspondence relationship includes: each prediction candidate word and the first preset time Correspondence of segments;

From the preset correspondence, the prediction candidate words corresponding to the target time period are determined as prediction words.

In an implementation manner, the preset prediction strategy includes: a strategy for performing word prediction based on the second type of time information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the current date of the electronic device;

Matching the current date with the first holiday database, wherein the first holiday database stores a correspondence between each preset holiday candidate word and a holiday date;

When the matching is successful, from the first holiday database, the preset holiday candidate words whose corresponding holiday date is the same as the current date are determined as the predicted words.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on user information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the ID of the application that is currently operating;

When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled;

Obtaining an identifier of the current chat object when determining that the preset auxiliary permission is enabled;

The acquired identifier of the current chat object is determined as a predicted word.

In an implementation manner, the method further includes:

When it is determined that the preset auxiliary permission is not enabled, the setting information is output, where the setting information includes: prompting the user to open the path information of the preset auxiliary right.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on user information and first type time information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the ID of the currently operating application and obtain the current time of the electronic device;

When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled;

When it is determined that the preset auxiliary permission is enabled, the identifier of the current chat object is obtained;

Determining, from the pre-stored historical input words, a word corresponding to the current chat object and corresponding to the current time, and the corresponding input number is higher than a predetermined input threshold, as a predictive word, where The pre-stored historical input word includes: a word entered by the user for each second preset time period for the identifier of the current chat object.

In an implementation manner, the preset prediction strategy includes: a policy for performing word prediction based on user information and second type time information;

And determining, according to the acquired preset prediction strategy, a strategy for performing word prediction based on user information and/or time information, including determining a predicted word, including:

Get the ID of the currently operating application and get the current date of the electronic device;

When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled;

When it is determined that the preset auxiliary permission is enabled, the identifier of the current chat object is obtained;

Matching the identifier of the current chat object and the current date with a second holiday database, wherein the second holiday database stores an identifier of each object, a preset reminder date, and a preset reminder candidate word. Correspondence relationship;

When the matching is successful, determining, from the second holiday database, that the identifier of the corresponding object is the same as the identifier of the current chat object, and the preset reminder candidate date corresponding to the preset date is the same as the current date. As a predictive word.

In an implementation manner, the preset prediction strategy includes at least: a policy for performing word prediction based on the first type of time information, a policy for performing word prediction based on the second type of time information, a strategy for performing word prediction based on the user information, based on The user information and the first type of time information perform a word prediction strategy and at least two types of strategies for word prediction based on the user information and the second type of time information;

The method for performing word prediction based on the user information and/or the time information based on the acquired preset prediction policy includes: before determining the predicted word, the method further includes:

Obtaining a priority corresponding to each type of policy included in the preset prediction policy;

And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including:

The prediction words are determined based on each type of strategy included in the acquired preset prediction strategy according to the respective priorities of each type of the obtained strategy.

It should be noted that, in this context, relational terms such as first and second are used merely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply such entities or operations. There is any such actual relationship or order between them. Furthermore, the term "comprises" or "comprises" or "comprises" or any other variations thereof is intended to encompass a non-exclusive inclusion, such that a process, method, article, or device that comprises a plurality of elements includes not only those elements but also Other elements, or elements that are inherent to such a process, method, item, or device. An element that is defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in the process, method, item, or device that comprises the element.

The various embodiments in the present specification are described in a related manner, and the same or similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

The above description is only the preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application are included in the scope of the present application.

Claims (19)

An empty word prediction method, characterized in that the method comprises: After acquiring the above prediction instruction, acquiring a preset prediction policy, where the preset prediction strategy includes at least: a policy for performing word prediction based on user information and/or time information; Determining a predicted word based on a strategy for performing word prediction based on user information and/or time information, based on the acquired preset prediction strategy; Show the predicted words determined. The method according to claim 1, wherein the preset prediction strategy comprises: a strategy for performing word prediction based on the first type of time information; And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including: Get the current time of the electronic device; Determining, by the preset correspondence, a first preset time period that matches the current time, as the target time segment, where the preset correspondence relationship includes: each prediction candidate word and the first preset time Correspondence of segments; From the preset correspondence, the prediction candidate words corresponding to the target time period are determined as prediction words. The method according to claim 1, wherein the preset prediction strategy comprises: a strategy for word prediction based on the second type of time information; And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including: Get the current date of the electronic device; Matching the current date with the first holiday database, wherein the first holiday database stores a correspondence between each preset holiday candidate word and a holiday date; When the matching is successful, from the first holiday database, the preset holiday candidate words whose corresponding holiday date is the same as the current date are determined as the predicted words. The method according to claim 1, wherein the preset prediction strategy comprises: a policy for word prediction based on user information; And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including: Get the ID of the application that is currently operating; When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled; Obtaining an identifier of the current chat object when determining that the preset auxiliary permission is enabled; The acquired identifier of the current chat object is determined as a predicted word. The method of claim 4, wherein the method further comprises: When it is determined that the preset auxiliary permission is not enabled, the setting information is output, where the setting information includes: prompting the user to open the path information of the preset auxiliary right. The method according to claim 1, wherein the preset prediction strategy comprises: a policy for word prediction based on user information and first type of time information; And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including: Get the ID of the currently operating application and obtain the current time of the electronic device; When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled; When it is determined that the preset auxiliary permission is enabled, the identifier of the current chat object is obtained; Determining, from the pre-stored historical input words, a word corresponding to the current chat object and corresponding to the current time, and the corresponding input number is higher than a predetermined input threshold, as a predictive word, where The pre-stored historical input word includes: a word entered by the user for each second preset time period for the identifier of the current chat object. The method according to claim 1, wherein the preset prediction strategy comprises: a strategy for word prediction based on user information and second type of time information; And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including: Get the ID of the currently operating application and get the current date of the electronic device; When it is determined that the currently operated application is a preset chat application based on the identifier of the currently operated application, determining whether the preset auxiliary permission of the electronic device is enabled; When it is determined that the preset auxiliary permission is enabled, the identifier of the current chat object is obtained; Matching the identifier of the current chat object and the current date with a second holiday database, wherein the second holiday database stores an identifier of each object, a preset reminder date, and a preset reminder candidate word. Correspondence relationship; When the matching is successful, determining, from the second holiday database, that the identifier of the corresponding object is the same as the identifier of the current chat object, and the preset reminder candidate date corresponding to the preset date is the same as the current date. As a predictive word. The method according to any one of claims 1 to 7, wherein the preset prediction strategy comprises at least a strategy for performing word prediction based on the first type of time information, and a strategy for predicting words based on the second type of time information. a strategy for word prediction based on user information, a strategy for word prediction based on user information and first type of time information, and at least two types of strategies for word prediction based on user information and second type of time information; And the method further includes: before the step of determining a predicted word based on the user-based and/or time information based on the acquired preset prediction policy, the method further includes: Obtaining a priority corresponding to each type of policy included in the preset prediction policy; And the step of determining a predicted word based on the at least included policy for performing word prediction based on the user information and/or the time information, including: The prediction words are determined based on each type of strategy included in the acquired preset prediction strategy according to the respective priorities of each type of the obtained strategy. An empty word prediction device, characterized in that the device comprises: a first obtaining module, configured to acquire a preset prediction policy after acquiring the foregoing prediction instruction, where the preset prediction strategy includes at least: a policy for performing word prediction based on user information and/or time information; a determining module, configured to determine a predicted word based on a strategy for performing word prediction based on the user information and/or the time information included in the acquired preset prediction policy; A presentation module for presenting the determined predictive words. The apparatus according to claim 9, wherein the preset prediction strategy comprises: a policy for performing word prediction based on the first type of time information; The determining module includes: a first acquiring unit, configured to acquire a current time of the electronic device; a first determining unit, configured to determine, from the preset correspondence, a first preset time period that matches the current time, as a target time segment, where the preset correspondence includes: each prediction candidate Correspondence between the word and the first preset time period; a second determining unit, configured to determine, from the preset correspondence, a prediction candidate word corresponding to the target time segment as a predicted word. The apparatus according to claim 9, wherein the preset prediction strategy comprises: a policy for performing word prediction based on the second type of time information; The determining module includes: a second acquiring unit, configured to acquire a current date of the electronic device; a first matching unit, configured to match the current date with the first holiday database, wherein the first holiday database stores a correspondence between each preset holiday candidate word and a holiday date; And a third determining unit, configured to, when the matching is successful, determine, from the first holiday database, a preset holiday candidate word whose corresponding holiday date is the same as the current date, as the predicted word. The apparatus according to claim 9, wherein the preset prediction strategy comprises: a policy for performing word prediction based on user information; The determining module includes: a third obtaining unit, configured to acquire an identifier of the currently operated application; a first determining unit, configured to determine, according to the identifier of the currently operated application, that the currently operated application is a preset chat application, determine whether the preset auxiliary permission of the electronic device is enabled; a fourth obtaining unit, configured to acquire an identifier of the current chat object when determining that the preset auxiliary permission is enabled; And a fourth determining unit, configured to determine the acquired identifier of the current chat object as a predicted word. The device according to claim 12, wherein the determining module further comprises: The output unit is configured to output setting information when the preset auxiliary permission is not turned on, where the setting information includes: prompting the user to open the path information of the preset auxiliary right. The apparatus according to claim 9, wherein the preset prediction strategy comprises: a policy for word prediction based on user information and first type of time information; The determining module includes: a fifth obtaining unit, configured to acquire an identifier of the currently operated application, and acquire a current time of the electronic device; a second determining unit, configured to determine, according to the identifier of the currently operated application, whether the currently operated application is a preset chat application, and determine whether the preset auxiliary permission of the electronic device is enabled; a sixth obtaining unit, configured to acquire an identifier of the current chat object when determining that the preset auxiliary permission is enabled; a fifth determining unit, configured to determine, from the pre-stored historical input words, a word corresponding to the identifier of the current chat object and corresponding to the current time, and the corresponding input number is higher than a predetermined input threshold, As a predictive word, the pre-stored historical input word includes: a word entered by the user for each second preset time period for the identifier of the current chat object. The apparatus according to claim 9, wherein the preset prediction strategy comprises: a policy for word prediction based on user information and second type of time information; The determining module includes: a seventh obtaining unit, configured to acquire an identifier of the currently operated application, and acquire a current date of the electronic device; a third determining unit, configured to determine, according to the identifier of the currently operated application, whether the currently operated application is a preset chat application, and determine whether the preset auxiliary permission of the electronic device is enabled; An eighth obtaining unit, configured to acquire an identifier of the current chat object when determining that the preset auxiliary permission is enabled; a second matching unit, configured to match the identifier of the current chat object and the current date with a second holiday database, wherein the second holiday database stores an identifier of each object, a preset reminder date, and Presetting the correspondence between candidate words; a sixth determining unit, configured to: when the matching is successful, determine, from the second holiday database, that the identifier of the corresponding object is the same as the identifier of the current chat object, and the corresponding preset reminder date is the same as the current date The preset reminds the candidate as a predictive word. The device according to any one of claims 9-15, wherein the preset prediction strategy comprises at least a strategy for performing word prediction based on first type of time information, and a strategy for word prediction based on second type of time information. a strategy for word prediction based on user information, a strategy for word prediction based on user information and first type of time information, and at least two types of strategies for word prediction based on user information and second type of time information; include: a second acquiring module, configured to perform a word prediction based on the user information and/or the time information based on the acquired preset prediction policy, and obtain the preset prediction strategy before determining the predicted word The corresponding priority of each type of strategy included; The determining module is specifically configured to The prediction words are determined based on each type of strategy included in the acquired preset prediction strategy according to the respective priorities of each type of the obtained strategy. An electronic device, comprising: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete communication with each other through the communication bus; a memory for storing a computer program; The processor, when used to execute a computer program stored on a memory, implements the steps of the method for predicting a word according to any one of claims 1-8. A computer readable storage medium, wherein the computer readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for predicting an empty word according to any one of claims 1-8 is implemented step. A computer program product, characterized in that, when run on a computer, the computer is caused to perform the steps of the above-described method of predicting words in any of claims 1-8.

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