CN108921530A - Information judgment method, device, storage medium and terminal - Google Patents
Information judgment method, device, storage medium and terminal Download PDFInfo
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- CN108921530A CN108921530A CN201810650902.8A CN201810650902A CN108921530A CN 108921530 A CN108921530 A CN 108921530A CN 201810650902 A CN201810650902 A CN 201810650902A CN 108921530 A CN108921530 A CN 108921530A
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- G06Q20/00—Payment architectures, schemes or protocols
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- G06Q20/10—Payment architectures specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
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- G06Q20/30—Payment architectures, schemes or protocols characterised by the use of specific devices or networks
- G06Q20/32—Payment architectures, schemes or protocols characterised by the use of specific devices or networks using wireless devices
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Abstract
The embodiment of the present application discloses information judgment method, device, storage medium and terminal.The information judgment method includes：Default machine learning model is trained based on the corresponding interactive interface image of distinct group information, generates red packet information judgment models；When receiving the corresponding group's information of default application program, the corresponding interactive interface image of group's information is obtained；The corresponding interactive interface image of group's information is input in the red packet information judgment models, determines whether group's information is red packet information.The embodiment of the present application is by using above-mentioned technical proposal, red packet information judgment models trained in advance can be passed through, whether the currently received group's information accurately and rapidly judged is red packet information, when determining currently received group's information is red packet information, be conducive to further increase the speed for robbing red packet.
Description
Technical field
The invention relates to field of communication technology more particularly to information judgment method, device, storage medium and ends
End.
Background technique
Currently, have become must in people's daily life for the terminals such as smart phone, tablet computer and laptop
Indispensable electronic equipment.As terminal device is constantly intelligent, it is all mounted with operating system in most terminal devices, so that
Terminal device can install rich and varied application program, meet the needs of user is different.
With the fast development of mobile Internet and mobile payment and universal, journey is more and more applied in terminal device
Sequence develops electronics red packet function, the especially social application in the instant messagings such as QQ, wechat chat.User can be in user group
And red packet information is obtained in the scene of other multiusers interactions jointly, click red packet information then to obtain red packet.However, neck
Take the speed of red packet directly affect user get red packet as a result, and the result of getting red packet directly affects user experience.
Summary of the invention
The embodiment of the present application provides information judgment method, device, storage medium and terminal, can accurately, quickly judge group
Whether information is red packet information.
In a first aspect, the embodiment of the present application provides a kind of information judgment method, including：
Default machine learning model is trained based on the corresponding interactive interface image of distinct group information, generates red packet letter
Cease judgment models；
When receiving the corresponding group's information of default application program, the corresponding interactive interface image of group's information is obtained；
The corresponding interactive interface image of group's information is input in the red packet information judgment models, determines the group
Whether information is red packet information.
Second aspect, the embodiment of the present application provide a kind of information judgment means, including：
Model generation module, for based on the corresponding interactive interface image of distinct group information to default machine learning model into
Row training, generates red packet information judgment models；
Image collection module, for obtaining group's information pair when receiving the corresponding group's information of default application program
The interactive interface image answered；
Group's signal judgement module, sentences for the corresponding interactive interface image of group's information to be input to the red packet information
In disconnected model, determine whether group's information is red packet information.
The third aspect, the embodiment of the present application provide a kind of computer readable storage medium, are stored thereon with computer journey
Sequence realizes the information judgment method as described in the embodiment of the present application first aspect when the program is executed by processor.
Fourth aspect, the embodiment of the present application provide a kind of terminal, including memory, and processor and storage are on a memory
And the computer program that can be run in processor, the processor realize such as the embodiment of the present application when executing the computer program
Information judgment method described in first aspect.
The information provided in the embodiment of the present application judges scheme, based on the corresponding interactive interface image of distinct group information to pre-
If machine learning model is trained, red packet information judgment models are generated；When receiving the corresponding group's information of default application program
When, obtain the corresponding interactive interface image of group's information；The corresponding interactive interface image of group's information is input to the judgement of red packet information
In model, determine whether group's information is red packet information.By using above-mentioned technical proposal, can be believed by red packet trained in advance
Judgment models are ceased, whether the currently received group's information accurately and rapidly judged is red packet information, to be conducive to further mention
Height robs the speed of red packet.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of information judgment method provided by the embodiments of the present application；
Fig. 2 is the flow diagram of another information judgment method provided by the embodiments of the present application；
Fig. 3 is the flow diagram of another information judgment method provided by the embodiments of the present application；
Fig. 4 is a kind of structural schematic diagram of information judgment means provided by the embodiments of the present application；
Fig. 5 is a kind of structural schematic diagram of terminal provided by the embodiments of the present application；
Fig. 6 is the structural schematic diagram of another terminal provided by the embodiments of the present application.
Specific embodiment
Further illustrate the technical solution of the application below with reference to the accompanying drawings and specific embodiments.It is understood that
It is that specific embodiment described herein is used only for explaining the application, rather than the restriction to the application.It further needs exist for illustrating
, part relevant to the application is illustrated only for ease of description, in attached drawing rather than entire infrastructure.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail
The processing or method described as flow chart.Although each step is described as the processing of sequence by flow chart, many of these
Step can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of each step can be rearranged.When its operation
The processing can be terminated when completion, it is also possible to have the additional step being not included in attached drawing.The processing can be with
Corresponding to method, function, regulation, subroutine, subprogram etc..
Fig. 1 is the flow diagram of information judgment method provided by the embodiments of the present application, and this method can be judged by information
Device executes, and wherein the device can be implemented by software and/or hardware, and can generally integrate in the terminal.As shown in Figure 1, this method
Including：
Step 101 is trained default machine learning model based on the corresponding interactive interface image of distinct group information, raw
At red packet information judgment models.
Illustratively, the terminal in the embodiment of the present application may include mobile phone, tablet computer, laptop and intelligent family
The terminal devices such as electricity.Operating system is mounted in terminal.
In the embodiment of the present application, default machine learning model may include convolutional neural networks model, decision-tree model
And any one in the machine learning models such as Random Forest model.Red packet information judgment models can be based on distinct group information
Corresponding interactive interface image is trained generation to default machine learning model.Wherein, the corresponding interactive interface of group's information
Image may include carrying out the obtained image of screenshot to interface corresponding to group's information.The corresponding information content of group's information can be with
Including picture, therefore expression, text, network address and red packet information may include figure in the corresponding interactive interface image of group's information
At least one of piece, expression, text, network address and red packet information.It is understood that group's information is different, group's information is corresponding
Interactive interface image is also different.Red packet information judgment models can be to the corresponding interactive boundary of group's information for including red packet information
The law generation presented in the image of face, it is to be understood that group's information content before and after red packet information is different, and red packet information exists
Position in interactive interface image is different, and the rule that interactive interface image is presented is different, therefore, can be corresponding by distinct group information
Interactive interface image learns the training sample set as training sample set, generates red packet information judgment models.Wherein,
Red packet information judgment models can be understood as whether can quickly judging group's letter after the corresponding interactive interface image of input group's information
For the learning model of red packet information.
The corresponding interactive interface image of distinct group information is trained in terminal side it should be noted that can be, it is raw
At red packet information judgment models, the corresponding interactive interface image of distinct group information can also be trained in server side, it is raw
At red packet information judgment models.Hot package informatin judgment models are when server side training generates, and terminal can be directly from clothes
The trained red packet information judgment models of device side calling of being engaged in.
Step 102, when receiving the corresponding group's information of default application program, obtain the corresponding interactive boundary of group's information
Face image.
In the embodiment of the present application, default application program may include mounted selected a certain type or tool in terminal
The application of standby a certain function.For example, default application program may include that wechat, Alipay and QQ etc. have and rob/generate electricity sub- red packet
The APP of function.Include a large amount of group in default application program, can exist in each group a large amount of miscellaneous
Information namely group's information.When receiving the corresponding group's information of default application program, the corresponding interactive boundary of group's information is obtained
Face image.It is understood that when receiving the corresponding group's information of default application program, interactive interface corresponding to group's information
Screenshot is carried out, the image that screenshot is obtained is as the corresponding interactive interface image of group's information.Wherein, the corresponding friendship of group's information
It can only include this current new received group's information in mutual interface image, also may include currently received group's information
And the interactive information before this currently received group's information, interactive information may include pictorial information, expression information, text
At least one of information, website information and red packet information.
The corresponding interactive interface image of group's information is input in the red packet information judgment models by step 103, really
Whether fixed group's information is red packet information.
In the embodiment of the present application, the corresponding interactive interface image of group's information that step 102 obtains is input to red packet letter
It ceases in judgment models, whether is red packet information with determination group's information.It is understood that group is believed corresponding interactive interface
After image is input to red packet information judgment models, red packet information judgment models divide the corresponding interactive interface image of group's information
Analysis, determines whether group's information is red packet information based on the analysis results.Illustratively, the output of hot package informatin judgment models
When being as a result " 0 ", it is determined that group's information is not red packet information；When the output result of hot package informatin judgment models is " 1 ",
Then determine that group's information is red packet information.Alternatively, when the output result of hot package informatin judgment models is " 1 ", it is determined that institute
Stating group information not is red packet information；When the output result of hot package informatin judgment models is " 0 ", it is determined that group's information is red
Package informatin.It is of course also possible to when being "No" for the output results of hot package informatin judgment models, it is determined that group's information is not
Red packet information；When the output result of hot package informatin judgment models is "Yes", it is determined that group's information is red packet information.This Shen
Please embodiment to red packet information judgment models output result the form of expression without limitation.
The information judgment method provided in the embodiment of the present application, based on the corresponding interactive interface image of distinct group information to pre-
If machine learning model is trained, red packet information judgment models are generated, when receiving the corresponding group's information of default application program
When, the corresponding interactive interface image of group's information is obtained, and the corresponding interactive interface image of group's information is input to red packet information and is sentenced
In disconnected model, determine whether group's information is red packet information.By using above-mentioned technical proposal, red packet trained in advance can be passed through
Information judgment models, whether the currently received group's information accurately and rapidly judged is red packet information, currently received when determining
When group's information is red packet information, be conducive to further increase the speed for robbing red packet.
In some embodiments, the corresponding interactive interface image of distinct group information, including：First sample interactive interface image
It include the interactive interface figure of information of newly accepting covert payment in the first sample interactive interface image with the second sample interactive interface image
Picture includes the interactive interface image and/or nothing for having torn the corresponding red packet information of red packet open in the second sample interactive interface image
The interactive interface image of red packet information.The advantages of this arrangement are as follows the training sample of red packet information judgment models can be enriched
Collection improves the precision of red packet information judgment models training.
It in the embodiment of the present application, will include the interactive interface image of new information of accepting covert payment as first sample interaction figure
Picture will include to have torn the interactive interface image of the corresponding red packet information of red packet open and/or without the interactive interface image of red packet information
As the second sample interaction figure picture.Illustratively, in the corresponding interactive interface image of distinct group information, including 5000 the first samples
This interactive interface image, 3000 include the second sample interactive interface image for having torn the corresponding red packet information of red packet open, and
3000 the second sample interactive interface images without red packet information.It should be noted that the embodiment of the present application hands over first sample
The particular number of mutual interface image and the second sample interactive interface image is without limitation.In the embodiment of the present application, make distinct group
It, can not only comprising first sample interactive interface image and the second sample interactive interface image in the corresponding interactive interface image of information
Enough rules presented in the corresponding interactive interface image of group's information to red packet information learn, additionally it is possible to effectively prevent red packet
The case where over-fitting, occurs in information judgment models training process, while can also further increase red packet information judgment models
Precision, can be improved to group's information whether be red packet information judgement accuracy.
In some embodiments, default machine learning model is carried out based on the corresponding interactive interface image of distinct group information
Training generates red packet information judgment models, including：First sample interactive interface image is marked based on first sample label
Note, and the second sample interactive interface image is marked based on the second sample labeling, obtain training sample set；Based on institute
It states training sample set to be trained default machine learning model, generates red packet information judgment models.The benefit being arranged in this way exists
In, first sample interactive interface image and the second sample interactive interface image are marked based on different sample labelings, it can
To provide the accuracy to the judgement of red packet information significantly.
Illustratively, " 1 " is marked as first sample, i.e., first sample interactive interface image is marked with " 1 ",
Also i.e. by first sample interactive interface image tagged be " 1 "；" 0 " is used as the second sample labeling, i.e., the second sample is handed over " 0 "
Mutual interface image is marked, and also by the second sample interactive interface image tagged is " 0 ".It optionally, can also be by " 0 " conduct
First sample label, i.e., be marked first sample interactive interface image with " 0 ", also i.e. by first sample interactive interface image
Labeled as " 0 "；" 1 " is used as the second sample labeling, i.e., the second sample interactive interface image is marked with " 1 ", also will
Second sample interactive interface image tagged is " 1 ".It should be noted that the embodiment of the present application is marked to first sample and the second sample
The specific manifestation form of this label is not construed as limiting.It is understood that by first sample interactive interface image and mark after label
The second sample interactive interface image after note as training sample set, using the training sample set to default machine learning model into
Row training, generates red packet information judgment models.
In some embodiments, after determining whether group's information is red packet information, further include：When determining the group
When information is red packet information, user is prompted by predetermined manner, and/or system resource is optimized described in promotion
Response speed of the system resource to the red packet information.The advantages of this arrangement are as follows can effectively improve the speed for robbing red packet,
Further promote user experience.
In the embodiment of the present application, when determining that group's information is red packet information by red packet information judgment models,
User can be prompted by predetermined manner, and/or system resource be optimized to promote the system resource to institute
State the response speed of red packet information.Illustratively, user is prompted by predetermined manner, may include：By the red packet
The corresponding interactive interface of information is shown as pre-set color；Alternatively, being prompted by way of voice broadcast user；Alternatively,
User is prompted in the form of text in preset window.User can be reminded to rob red packet in time in this way, improved during user robs
The probability of red packet.It is, of course, also possible to preset vibration mode is set by terminal to remind user, it is absent-minded in particular for user
Or situation when being busy with other affairs, it is possible to prevente effectively from the case where user misses red packet generation.Illustratively, to system resource
It optimizes and may include：Promote the corresponding performance parameter of CPU or GPU, wherein the performance parameter includes core number and operation
Frequency；Alternatively, promoting the corresponding speed of service of Internet resources.The user that can effectively shorten in this way robs the operating time of red packet, mentions
High terminal can effectively promote the probability that user robs middle red packet to the processing speed of red packet information.
In some embodiments, when determining group's information is red packet information, system resource is optimized to be promoted
The system resource to the response speed of the red packet information, including：When determining group's information is red packet information, institute is obtained
State group information time of reception corresponding temporal information；When the temporal information meets preset time condition, to system resource into
Row optimization is to promote the system resource to the response speed of the red packet information.It is understood that if whenever determining group
When information is red packet information, just system resource is optimized, although the probability for robbing middle red packet can be promoted in this way, meanwhile,
The power consumption that terminal can be greatly increased influences user to terminal normal use duration.Especially, in daily life, even if having red
Package informatin, the corresponding red packet amount of money of red packet information is also smaller, can seriously affect user experience.Therefore, when determine group's information be it is red
When package informatin, group's information time of reception corresponding temporal information is obtained, when temporal information meets preset condition, to system resource
It optimizes.Wherein, temporal information can be embodied in the form of timestamp, may include specific time point information, can be with
It whether is specifically working day or festivals or holidays including specific date category, such as specific date.For example, when determining group's letter
The breath time of reception is festivals or holidays, when such as New Year's Eve, can be optimized to system resource to promote the system resource to red packet and believe
The response speed of breath.It is understood that generally often will appear the height of transmitting-receiving red packet in festivals or holidays and some special dates
The peak phase, and the red packet amount of money is usually larger, such as at 0 point of New Year's Eve, at this point, optimizing to system resource, can greatly promote use
Family experience.The advantages of this arrangement are as follows can targetedly system resource optimize, can both have been promoted user rob in it is red
The probability of packet, and power consumption of terminal can be suitably reduced, promote user experience.
Optionally, after being optimized to system resource, further include：Obtain the corresponding interactive interface of the red packet message
Change information, and according to the change information of the interactive interface judgement rob red packet operation whether be completed, if so, by system
State of the resource recovery to before optimizing.Power consumption of terminal can be effectively reduced in this way.
After determining whether group's information is red packet information, further include：Receive judgement of the user to group's information
As a result whether accurate feedback information；The interactive interface image of the corresponding group's information of the feedback information is sent to the red packet
Information judgment models are trained.The advantages of this arrangement are as follows whether accurate by judging result of the user to group's information
Feedback information, and the interactive interface image of the corresponding group's information of feedback information is sent to red packet information judgment models and is instructed
Practice, the network parameter of red packet information judgment models can be adjusted according to the feedback information of user at any time, group's letter can be reduced in time
The probability that breath erroneous judgement happens.
Wherein, feedback information can be understood as user is to the judging result for group's information that red packet information judgment models export
No correct update information judges information.Illustratively, can be arranged in the human-computer interaction interface of terminal device to red
The amendment option of group's information judging result of package informatin judgment models output judges option.Wherein, amendment option may include
Two options of "Yes" and "No" indicate group's information that user exports red packet information judgment models when correcting option is "Yes"
Whether be red packet information judging result be approve, and when correct option be "No" when, indicate user to red packet information judge
Whether group's information of model output is that the judging result of red packet information is not approved.Judging option may include " correct " and " not just
Really " two options when receiving the judge instruction of user's input " correct ", indicate user when judging option is " correct "
To red packet information judgment models output group's information whether be red packet information judging result be approve namely red packet information sentence
It is correct that whether group's information of disconnected model output, which is the judging result of red packet information,.And when judging option is " incorrect ",
When receiving the judge instruction of " incorrect " of user's input, group's information that user exports red packet information judgment models is indicated
Whether be red packet information judging result do not approve namely red packet information judgment models output group's information whether be red packet
The judging result of information is wrong.The embodiment of the present application is to receiving user to the concrete form of the feedback information of processing mode not
It limits.Terminal receives the whether accurate feedback letter of judging result for group's information that user exports red packet information judgment models
Breath, and the interactive interface image of corresponding group's information is sent to the red packet information judgment models and is trained, to red packet
The network parameter of information judgment models is adaptively adjusted.
In some embodiments, when receiving the corresponding group's information of default application program, group's information pair is obtained
Before the interactive interface image answered, further include：When detecting that red packet information prediction event is triggered, the default application is obtained
The corresponding current text interactive information of program；The current text interactive information is input to the red packet information prediction model
In, predict whether red packet information will occur；Wherein, the red packet information prediction model is to based on different text interactive information
Sample is trained generation；Correspondingly, it is corresponding to obtain group's information when receiving the corresponding group's information of default application program
Interactive interface image, including：If red packet information will be occurred by predicting, believe when receiving the corresponding group of default application program
When breath, the corresponding interactive interface image of group's information is obtained.The advantages of this arrangement are as follows red packet information can be passed through in advance
Prediction model analyzes current text interactive information, predicts whether red packet information will occur, will occur when predicting
When red packet information, then passes through red packet information judgment models and further judge whether the group's information newly received is red packet information, it can
When further increasing new received group's information as red packet information, the response speed of red packet information and user rob the general of middle red packet
Rate.
In the embodiment of the present application, the trigger condition of red packet information prediction event can be arranged according to the actual situation, this Shen
Please embodiment be not especially limited.For example, it is (as pre- in terminal in entered to meet preset condition in the movement for detecting user
If application program, user input default slip gesture, such as user inputs " $ " identifier) when, trigger red packet information prediction thing
Part；Or red packet information prediction event can be triggered when detecting that user triggers a certain physical button.Hot package informatin prediction
After event is triggered, system can detect red packet information prediction event by reading flag bit or receiving the modes such as triggering command
It has been be triggered that, specific detection mode the embodiment of the present application is also without limitation.
Illustratively, presetting the corresponding current text interactive information of application program can be understood as from default application program pair
That answers works as the text interactive information comprising text information extracted in pre-group information.Wherein, current text interactive information can be with
Only comprising the text message that has just received, also may include the text interactive information of preset quantity, can also include from
Current time traces forward the text interactive information of preset duration, it is, of course, also possible to include that default application program is corresponding all
Text interactive information.Even, current text interactive information can also be sky, i.e., when in the corresponding group's information of default application program
Not comprising text information, when pertaining only to expression information or pictorial information such as group's information, the current interactive information of acquisition is sky；Again
Such as, when not starting to carry out group's information exchange in the corresponding group of default application program also, it is corresponding current to preset application program
Text interactive information is also empty.It should be noted that the specific text that the embodiment of the present application includes to current text interactive information
The quantity of information is without limitation.
In the embodiment of the present application, the corresponding current text interactive information of the default application program that will acquire is input to red packet
In information prediction model, to predict whether red packet information occur.It is understood that current text interactive information is inputted
To red packet information prediction model, red packet information prediction model analyzes current text interactive information, and is tied according to analysis
Fruit predicts whether red packet information will occur.Illustratively, when the output result of hot package informatin prediction model is " 0 ", then really
Surely red packet information will not will occur；When the output result of hot package informatin prediction model is " 1 ", it is determined that red packet will occur
Information.Alternatively, when the output result of hot package informatin prediction model is " 1 ", it is determined that red packet information will not will occur；It is hot
When the output result of package informatin prediction model is " 0 ", it is determined that red packet information will occur.It is of course also possible to believe when red packet
When the output result for ceasing prediction model is "No", it is determined that red packet information will not will occur；Hot package informatin prediction model
When output result is "Yes", it is determined that red packet information will occur.The embodiment of the present application exports red packet information prediction model and ties
The form of expression of fruit is without limitation.
In the embodiment of the present application, red packet information prediction model can be based on different text interactive information samples to
Two default machine learning models are trained generation.In the embodiment of the present application, the second default machine learning model can wrap
Include Recognition with Recurrent Neural Network model (Recurrent neural networks, RNN), shot and long term memory (Long Short-Term
Memory, LSTM) any one in the machine learning models such as network, thresholding cycling element and simple cycle unit.Wherein, no
Same text interactive information sample may include the chat record of the different groups of the different user group obtained, and chat from described
The text interactive information extracted in its record.It is understood that the chat record namely the corresponding letter of group's information of different groups
Breath content may include picture, therefore expression, text, network address and red packet information are extracted only from the chat record of different groups
Text interactive information comprising text information is as text interactive information sample.Illustratively, the wechat for collecting 500 users is chatted
20,000 parts of text interactive information in its record, and using this 20,000 parts of text interactive information as training red packet information prediction model
Text interactive information sample.Red packet information prediction model can be to the corresponding text interactive information sample of red packet information will occur
The law generation of this presentation, for example, occurring will appear greater than preset quantity (such as in the corresponding text interactive information of red packet information
N) a " red " keyword.It is understood that the text interactive information before red packet information occurs is corresponding with without red packet information
The characteristic rule that text interactive information is presented is different, therefore, can using different text interactive information samples as training sample set,
The training sample set is learnt, red packet information prediction model is generated.Wherein, red packet information prediction model can be understood as
After inputting text interactive information, can quick predict go out the learning model of red packet information whether will occur.
Fig. 2 is the flow diagram of information judgment method provided by the embodiments of the present application.As shown in Fig. 2, this method includes：
Step 201 obtains first sample interactive interface image and the second sample interactive interface image.
Wherein, the interactive interface image including information of newly accepting covert payment in first sample interactive interface image, the second sample are handed over
It include the interactive interface image for having torn the corresponding red packet information of red packet open and/or the interactive interface without red packet information in mutual interface image
Image.
Step 202 is marked first sample interactive interface image based on first sample label, and is based on the second sample
The second sample interactive interface image is marked in label, obtains training sample set.
Step 203 is trained default machine learning model based on training sample set, generates red packet information and judges mould
Type.
Step 204, when receiving the corresponding group's information of default application program, obtain the corresponding interactive interface figure of group's information
Picture.
The corresponding interactive interface image of group's information is input in red packet information judgment models by step 205, determines group's information
It whether is red packet information.
Step 206, when determining group's information is red packet information, user is prompted by predetermined manner, and/or to being
System resource optimizes the response speed with lifting system resource to red packet information.
Step 207 receives user to the whether accurate feedback information of the judging result of group's information.
Step 208, the interactive interface image of the corresponding group's information of feedback information is sent to red packet information judgment models into
Row training.
The information judgment method provided in the embodiment of the present application is marked based on first sample to first sample interactive interface figure
The second sample interactive interface image is marked as being marked, and based on the second sample labeling, obtains training sample set, and
Default machine learning model is trained based on training sample set, generates red packet information judgment models, is answered when receiving to preset
When group's information corresponding with program, the corresponding interactive interface image of group's information is input in red packet information judgment models, is determined
Whether group's information is red packet information, can be by red packet information judgment models trained in advance, and what is accurately and rapidly judged is current
Whether received group's information is red packet information.And when determining group's information is red packet information, user is carried out by predetermined manner
Prompt, and when group's information time of reception, corresponding temporal information met preset time condition, to system resource optimize with
Lifting system resource can greatly improve the probability that user robs middle red packet to the response speed of red packet information, promote user experience.
Fig. 3 is the flow diagram of information judgment method provided by the embodiments of the present application.As shown in figure 3, this method includes：
Step 301 obtains first sample interactive interface image and the second sample interactive interface image.
Wherein, the interactive interface image including information of newly accepting covert payment in first sample interactive interface image, the second sample are handed over
It include the interactive interface image for having torn the corresponding red packet information of red packet open and/or the interactive interface without red packet information in mutual interface image
Image.
Step 302 is marked first sample interactive interface image based on first sample label, and is based on the second sample
The second sample interactive interface image is marked in label, obtains training sample set.
Step 303 is trained default machine learning model based on training sample set, generates red packet information and judges mould
Type.
Step 304, when detecting that red packet information prediction event is triggered, obtain it is default application program is corresponding ought be above
This interactive information.
Current text interactive information is input in red packet information prediction model by step 305, predicts whether to occur red
Package informatin.
Wherein, red packet information prediction model is trained generation to based on different text interactive information samples；
If step 306 predicts and red packet information will occurs, when receiving the corresponding group's information of default application program
When, obtain the corresponding interactive interface image of group's information.
The corresponding interactive interface image of group's information is input in red packet information judgment models by step 307, determines group's information
It whether is red packet information.
Step 308, when determine group's information be red packet information when, user is prompted by predetermined manner, and obtain institute
State group information time of reception corresponding temporal information.
Step 309, when temporal information meets preset time condition, system resource is optimized with lifting system resource
To the response speed of red packet information.
Step 310 receives user to the whether accurate feedback information of the judging result of group's information.
Step 311, the interactive interface image of the corresponding group's information of feedback information is sent to red packet information judgment models into
Row training.
The information judgment method provided in the embodiment of the present application is obtained when detecting that red packet information prediction event is triggered
The corresponding current text interactive information of default application program is taken, and current text interactive information is input to red packet information prediction mould
In type, predict whether red packet information will occur, wherein red packet information prediction model is to based on different text interactive information samples
Originally it is trained generation, if red packet information will be occurred by predicting, when receiving the corresponding group's information of default application program,
Further judge whether group's information is red packet information by red packet information judgment models, can be further improved new received group's letter
When breath is red packet information, the response speed of red packet information and user rob the probability of middle red packet.
Fig. 4 be a kind of structural schematic diagram of information judgment means provided by the embodiments of the present application, the device can by software and/
Or hardware realization, be typically integrated in terminal, can by execution information judgment method come to group's information whether be red packet information into
Row judgement.As shown in figure 4, the device includes：
Model generation module 401, for being based on the corresponding interactive interface image of distinct group information to default machine learning mould
Type is trained, and generates red packet information judgment models；
Image collection module 402, for obtaining group's information when receiving the corresponding group's information of default application program
Corresponding interactive interface image；
Group's signal judgement module 403 is believed for the corresponding interactive interface image of group's information to be input to the red packet
It ceases in judgment models, determines whether group's information is red packet information.
The information judgment means provided in the embodiment of the present application, based on the corresponding interactive interface image of distinct group information to pre-
If machine learning model is trained, red packet information judgment models are generated, when receiving the corresponding group's information of default application program
When, the corresponding interactive interface image of group's information is obtained, and the corresponding interactive interface image of group's information is input to red packet information and is sentenced
In disconnected model, determine whether group's information is red packet information.By using above-mentioned technical proposal, red packet trained in advance can be passed through
Information judgment models, whether the currently received group's information accurately and rapidly judged is red packet information, currently received when determining
When group's information is red packet information, be conducive to further increase the speed for robbing red packet.
Optionally, including at least one in picture, expression, text, network address and red packet information in the interactive interface image
It is a.
Optionally, the corresponding interactive interface image of the distinct group information, including：
First sample interactive interface image and the second sample interactive interface image, in the first sample interactive interface image
Interactive interface image including information of newly accepting covert payment includes that have torn red packet open corresponding red in the second sample interactive interface image
The interactive interface image of package informatin and/or interactive interface image without red packet information.
Optionally, the model generation module, including：
First sample interactive interface image is marked based on first sample label, and based on the second sample labeling to institute
It states the second sample interactive interface image to be marked, obtains training sample set；
Default machine learning model is trained based on the training sample set, generates red packet information judgment models.
Optionally, which further includes：
Optimization module, for after determining whether group's information is red packet information, when determining that group's information is red
When package informatin, user is prompted by predetermined manner, and/or system resource is optimized to promote the system resource
To the response speed of the red packet information.
Optionally, when determining group's information is red packet information, system resource is optimized to promote the system
Resource to the response speed of the red packet information, including：
When determining group's information is red packet information, group's information time of reception corresponding temporal information is obtained；
When the temporal information meets preset time condition, system resource is optimized to promote the system resource
To the response speed of the red packet information.
Optionally, after determining whether group's information is red packet information, further include：
User is received to the whether accurate feedback information of the judging result of group's information；
By the interactive interface image of the corresponding group's information of the feedback information be sent to the red packet information judgment models into
Row training.
The embodiment of the present application also provides a kind of storage medium comprising computer executable instructions, and the computer is executable
Instruction is used for execution information judgment method when being executed by computer processor, and this method includes：
Default machine learning model is trained based on the corresponding interactive interface image of distinct group information, generates red packet letter
Cease judgment models；
When receiving the corresponding group's information of default application program, the corresponding interactive interface image of group's information is obtained；
The corresponding interactive interface image of group's information is input in the red packet information judgment models, determines the group
Whether information is red packet information.
Storage medium --- any various types of memory devices or storage equipment.Term " storage medium " is intended to wrap
It includes：Install medium, such as CD-ROM, floppy disk or magnetic tape equipment；Computer system memory or random access memory, such as
DRAM, DDRRAM, SRAM, EDORAM, blue Bath (Rambus) RAM etc.；Nonvolatile memory, such as flash memory, magnetic medium (example
Such as hard disk or optical storage)；Register or the memory component of other similar types etc..Storage medium can further include other types
Memory or combinations thereof.In addition, storage medium can be located at program in the first computer system being wherein performed, or
It can be located in different second computer systems, second computer system is connected to the first meter by network (such as internet)
Calculation machine system.Second computer system can provide program instruction to the first computer for executing.Term " storage medium " can
To include two or more that may reside in different location (such as in the different computer systems by network connection)
Storage medium.Storage medium can store the program instruction that can be performed by one or more processors and (such as be implemented as counting
Calculation machine program).
Certainly, a kind of storage medium comprising computer executable instructions, computer provided by the embodiment of the present application
The information that executable instruction is not limited to the described above judges operation, and information provided by the application any embodiment can also be performed
Relevant operation in judgment method.
The embodiment of the present application provides a kind of terminal, and information judgement dress provided by the embodiments of the present application can be integrated in the terminal
It sets.Fig. 5 is a kind of structural schematic diagram of terminal provided by the embodiments of the present application.Terminal 500 may include：Memory 501, processing
On a memory and can be in the computer program of processor operation, the processor 502 execute the computer for device 502 and storage
The information judgment method as described in the embodiment of the present application is realized when program.
Terminal provided by the embodiments of the present application, can be by red packet information judgment models trained in advance, accurately and rapidly
Whether currently received group's information of judgement is red packet information, when determining currently received group's information is red packet information, favorably
In further increasing the speed for robbing red packet.
Fig. 6 is the structural schematic diagram of another terminal provided by the embodiments of the present application, which may include：Shell (figure
In be not shown), memory 601, central processing unit (central processing unit, CPU) 602 (also known as processor, with
Lower abbreviation CPU), circuit board (not shown) and power circuit (not shown).The circuit board is placed in the shell
The space interior surrounded；The CPU602 and the memory 601 are arranged on the circuit board；The power circuit, is used for
It powers for each circuit or device of the terminal；The memory 601, for storing executable program code；It is described
CPU602 is run and the executable program code pair by reading the executable program code stored in the memory 601
The computer program answered, to realize following steps：
Default machine learning model is trained based on the corresponding interactive interface image of distinct group information, generates red packet letter
Cease judgment models；
When receiving the corresponding group's information of default application program, the corresponding interactive interface image of group's information is obtained；
The corresponding interactive interface image of group's information is input in the red packet information judgment models, determines the group
Whether information is red packet information.
The terminal further includes：Peripheral Interface 603, RF (Radio Frequency, radio frequency) circuit 605, voicefrequency circuit
606, loudspeaker 611, power management chip 608, input/output (I/O) subsystem 609, other input/control devicess 610, touching
Touch screen 612, other input/control devicess 610 and outside port 604, these components pass through one or more communication bus or
Signal wire 607 communicates.
It should be understood that graphic terminal 600 is only an example of terminal, and terminal 600 can have than figure
Shown in more or less component, two or more components can be combined, or can have different portions
Part configuration.Various parts shown in the drawings can be including one or more signal processings and/or specific integrated circuit
Hardware, software or hardware and software combination in realize.
Just the terminal provided in this embodiment for information judgement is described in detail below, which is with mobile phone
Example.
Memory 601, the memory 601 can be accessed by CPU602, Peripheral Interface 603 etc., and the memory 601 can
It can also include nonvolatile memory to include high-speed random access memory, such as one or more disk memory,
Flush memory device or other volatile solid-state parts.
The peripheral hardware that outputs and inputs of equipment can be connected to CPU602 and deposited by Peripheral Interface 603, the Peripheral Interface 603
Reservoir 601.
I/O subsystem 609, the I/O subsystem 609 can be by the input/output peripherals in equipment, such as touch screen 612
With other input/control devicess 610, it is connected to Peripheral Interface 603.I/O subsystem 609 may include 6091 He of display controller
For controlling one or more input controllers 6092 of other input/control devicess 610.Wherein, one or more input controls
Device 6092 processed receives electric signal from other input/control devicess 610 or sends electric signal to other input/control devicess 610,
Other input/control devicess 610 may include physical button (push button, rocker buttons etc.), dial, slide switch, behaviour
Vertical pole clicks idler wheel.It is worth noting that input controller 6092 can with it is following any one connect：Keyboard, infrared port,
The indicating equipment of USB interface and such as mouse.
Touch screen 612, the touch screen 612 are the input interface and output interface between user terminal and user, can
It is shown to user depending on output, visual output may include figure, text, icon, video etc..
Display controller 6091 in I/O subsystem 609 receives electric signal from touch screen 612 or sends out to touch screen 612
Electric signals.Touch screen 612 detects the contact on touch screen, and the contact that display controller 6091 will test is converted to and is shown
The interaction of user interface object on touch screen 612, i.e. realization human-computer interaction, the user interface being shown on touch screen 612
Object can be the icon of running game, the icon for being networked to corresponding network etc..It is worth noting that equipment can also include light
Mouse, light mouse are the extensions for the touch sensitive surface for not showing the touch sensitive surface visually exported, or formed by touch screen.
RF circuit 605 is mainly used for establishing the communication of mobile phone Yu wireless network (i.e. network side), realizes mobile phone and wireless network
The data receiver of network and transmission.Such as transmitting-receiving short message, Email etc..Specifically, RF circuit 605 receives and sends RF letter
Number, RF signal is also referred to as electromagnetic signal, and RF circuit 605 converts electrical signals to electromagnetic signal or electromagnetic signal is converted to telecommunications
Number, and communicated by the electromagnetic signal with communication network and other equipment.RF circuit 605 may include for executing
The known circuit of these functions comprising but it is not limited to antenna system, RF transceiver, one or more amplifiers, tuner, one
A or multiple oscillators, digital signal processor, CODEC (COder-DECoder, coder) chipset, user identifier mould
Block (Subscriber Identity Module, SIM) etc..
Voicefrequency circuit 606 is mainly used for receiving audio data from Peripheral Interface 603, which is converted to telecommunications
Number, and the electric signal is sent to loudspeaker 611.
Loudspeaker 611 is reduced to sound for mobile phone to be passed through RF circuit 605 from the received voice signal of wireless network
And the sound is played to user.
Power management chip 608, the hardware for being connected by CPU602, I/O subsystem and Peripheral Interface are powered
And power management.
The application any embodiment institute can be performed in information judgment means, storage medium and the terminal provided in above-described embodiment
The information judgment method of offer has and executes the corresponding functional module of this method and beneficial effect.Not in the above-described embodiments in detail
The technical detail described to the greatest extent, reference can be made to information judgment method provided by the application any embodiment.
Note that above are only the preferred embodiment and institute's application technology principle of the application.It will be appreciated by those skilled in the art that
The application is not limited to specific embodiment described here, be able to carry out for a person skilled in the art it is various it is apparent variation,
The protection scope readjusted and substituted without departing from the application.Therefore, although being carried out by above embodiments to the application
It is described in further detail, but the application is not limited only to above embodiments, in the case where not departing from the application design, also
It may include more other equivalent embodiments, and scope of the present application is determined by the scope of the appended claims.
Claims (10)
1. a kind of information judgment method, which is characterized in that including：
Default machine learning model is trained based on the corresponding interactive interface image of distinct group information, red packet information is generated and sentences
Disconnected model；
When receiving the corresponding group's information of default application program, the corresponding interactive interface image of group's information is obtained；
The corresponding interactive interface image of group's information is input in the red packet information judgment models, determines group's information
It whether is red packet information.
2. the method according to claim 1, wherein including picture, expression, text in the interactive interface image
At least one of word, network address and red packet information.
3. the method according to claim 1, wherein the corresponding interactive interface image of the distinct group information, packet
It includes：
First sample interactive interface image and the second sample interactive interface image include in the first sample interactive interface image
It newly accepts covert payment the interactive interface image of information, includes having torn the corresponding red packet letter of red packet open in the second sample interactive interface image
The interactive interface image of breath and/or interactive interface image without red packet information.
4. according to the method described in claim 3, it is characterized in that, based on the corresponding interactive interface image of distinct group information to pre-
If machine learning model is trained, red packet information judgment models are generated, including：
First sample interactive interface image is marked based on first sample label, and based on the second sample labeling to described the
Two sample interactive interface images are marked, and obtain training sample set；
Default machine learning model is trained based on the training sample set, generates red packet information judgment models.
5. the method according to claim 1, wherein after determining whether group's information is red packet information,
Further include：
When determine group's information be red packet information when, user is prompted by predetermined manner, and/or to system resource into
Row optimization is to promote the system resource to the response speed of the red packet information.
6. according to the method described in claim 5, it is characterized in that, when determine group's information be red packet information when, to system
Resource is optimized to promote the system resource to the response speed of the red packet information, including：
When determining group's information is red packet information, group's information time of reception corresponding temporal information is obtained；
When the temporal information meets preset time condition, system resource is optimized to promote the system resource to institute
State the response speed of red packet information.
7. the method according to claim 1, wherein after determining whether group's information is red packet information,
Further include：
User is received to the whether accurate feedback information of the judging result of group's information；
The interactive interface image of the corresponding group's information of the feedback information is sent to the red packet information judgment models to instruct
Practice.
8. a kind of information judgment means, which is characterized in that including：
Model generation module, for being instructed based on the corresponding interactive interface image of distinct group information to default machine learning model
Practice, generates red packet information judgment models；
Image collection module, for it is corresponding to obtain group's information when receiving the corresponding group's information of default application program
Interactive interface image；
Group's signal judgement module, judges mould for the corresponding interactive interface image of group's information to be input to the red packet information
In type, determine whether group's information is red packet information.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
The information judgment method as described in any in claim 1-7 is realized when row.
10. a kind of terminal, which is characterized in that including memory, processor and storage can be run on a memory and in processor
Computer program, the processor realizes that information as claimed in claim 1 is sentenced when executing the computer program
Disconnected method.
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