CN107592421A - Self-service method and device of mobile terminal - Google Patents
Self-service method and device of mobile terminal Download PDFInfo
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- CN107592421A CN107592421A CN201710842696.6A CN201710842696A CN107592421A CN 107592421 A CN107592421 A CN 107592421A CN 201710842696 A CN201710842696 A CN 201710842696A CN 107592421 A CN107592421 A CN 107592421A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/725—Cordless telephones
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Abstract
The invention provides a self-service method and a self-service device of a mobile terminal, wherein the method comprises the following steps: obtaining current characterization data of a mobile terminal user; the characterization data includes: at least one environmental parameter information of the user using the mobile terminal; inquiring a preset use habit model according to the representation data, and acquiring at least one operation behavior matched with the representation data and the occurrence probability of the at least one operation behavior; acquiring at least one operation behavior of which the corresponding occurrence probability is greater than a preset threshold; and providing reminding items for the user according to at least one operation behavior with the occurrence probability larger than a preset threshold value, so that reminding can be provided for the user by combining the use habit of the user and the current characterization data, the use efficiency of the intelligent voice assistant is improved, and the use experience of the user is improved.
Description
Technical field
The present invention relates to the self-help service method and device of terminal device technical field, more particularly to a kind of mobile terminal.
Background technology
At present, the occupation mode of intelligent sound assistant is passive on mobile terminal, that is, needs user actively to wake up intelligence
Voice assistant and the demand for clearly proposing oneself, then the demand of user is responded and performed by intelligent sound assistant, example
As user need open music player play music, then intelligent sound assistant according to the demand of user open music player broadcast
Put the music on, cause help of the intelligent sound assistant to user little, reduce the service efficiency of intelligent sound assistant, influence user
To the usage experience of intelligent sound assistant.
The content of the invention
It is contemplated that at least solves one of technical problem in correlation technique to a certain extent.
Therefore, first purpose of the present invention is to propose a kind of self-help service method of mobile terminal, it is existing for solving
Have that the service efficiency of intelligent sound assistant in technology is low, the problem of user is to the usage experience difference of intelligent sound assistant.
Second object of the present invention is to propose a kind of self-service device of mobile terminal.
Third object of the present invention is the self-service device for proposing another mobile terminal.
Fourth object of the present invention is to propose a kind of non-transitorycomputer readable storage medium.
The 5th purpose of the present invention is to propose a kind of computer program product.
For the above-mentioned purpose, first aspect present invention embodiment proposes a kind of self-help service method of mobile terminal, bag
Include：
Obtain the current characterize data of mobile terminal；The characterize data includes：User uses the mobile terminal extremely
A few ambient parameter information；
Default use habit model is inquired about according to the characterize data, obtains at least one matched with the characterize data
The probability of happening of individual operation behavior and at least one operation behavior；
Probability of happening corresponding to acquisition is more than at least one operation behavior of predetermined threshold value；
At least one operation behavior for being more than predetermined threshold value according to probability of happening provides prompting item to the user.
Further, before the current characterize data of the acquisition mobile terminal, in addition to：
Gather the historical operation behavioral data of mobile terminal user, and table corresponding with the historical operation behavioral data
Levy data；The historical operation behavioral data includes：Operation behavior of the user to each software on the mobile terminal；
Using historical operation behavioral data of the deep learning algorithm to the mobile terminal user and corresponding sign number
According to being trained, the use habit model is obtained；The use habit model includes：Each characterize data, and user
At least one operation behavior and the probability of happening of at least one operation behavior that may be performed under each characterize data.
Further, before the current characterize data of the acquisition mobile terminal, in addition to：
At least one operation behavior that may be performed under each characterize data according to user and at least one behaviour
Make the probability of happening of behavior, determine the predetermined threshold value.
Further, described method also includes：
The backlog of mobile terminal user is obtained, the backlog includes：Time and item content；
According to the backlog, provided to the user and remind item.
Further, the backlog also includes：Pending personnel；
Described method also includes：
When the pending personnel include the other staff in addition to the mobile terminal user, according to the backlog
There is provided to the other staff and remind item.
Further, at least one operation behavior that predetermined threshold value is more than according to probability of happening provides to the user
After reminding item, in addition to：
Judge whether to receive positive reply of the user for the prompting item；
If receiving positive reply of the user for the prompting item, judge whether current characterize data is full
The foot execution condition for reminding item；
If current characterize data meets the execution condition of the prompting item, the behaviour that the prompting item is reminded is performed
Make behavior.
Further, the backlog is voice backlog；
The backlog for obtaining mobile terminal user, including：
Speech recognition and semantics recognition are carried out to the voice backlog, obtain the backlog of mobile terminal user.
The self-help service method of the mobile terminal of the embodiment of the present invention, the characterize data current by obtaining mobile terminal；
Characterize data includes：User uses at least one ambient parameter information of mobile terminal；Make according to characterize data inquiry is default
With custom model, the generation for obtaining at least one operation behavior and at least one operation behavior that are matched with characterize data is general
Rate；Probability of happening corresponding to acquisition is more than at least one operation behavior of predetermined threshold value；Predetermined threshold value is more than according to probability of happening
At least one operation behavior provide a user prompting item, so as to combine user use habit and current sign
Data provide a user prompting, improve the service efficiency of intelligent sound assistant, improve the usage experience of user.
For the above-mentioned purpose, second aspect of the present invention embodiment proposes a kind of self-service device of mobile terminal, bag
Include：
Acquisition module, the characterize data current for obtaining mobile terminal；The characterize data includes：Described in user's use
At least one ambient parameter information of mobile terminal；
Enquiry module, for inquiring about default use habit model according to the characterize data, obtain and the sign number
According at least one operation behavior of matching and the probability of happening of at least one operation behavior；
The acquisition module, it is additionally operable at least one operation behavior that probability of happening corresponding to obtaining is more than predetermined threshold value；
Prompting module, at least one operation behavior for being more than predetermined threshold value according to probability of happening provide to the user
Remind item.
Further, described device also includes：
Acquisition module, for gathering the historical operation behavioral data of mobile terminal user, and with the historical operation row
For characterize data corresponding to data；The historical operation behavioral data includes：Behaviour of the user to each software on the mobile terminal
Make behavior；
Training module, for using deep learning algorithm to the historical operation behavioral data of the mobile terminal user and
Corresponding characterize data is trained, and obtains the use habit model；The use habit model includes：Each sign number
According to, and the user possible at least one operation behavior performed and at least one operation behavior under each characterize data
Probability of happening.
Further, described device also includes：
Determining module, at least one operation behavior that may be performed under each characterize data according to user and institute
The probability of happening of at least one operation behavior is stated, determines the predetermined threshold value.
Further, the acquisition module is additionally operable to, and obtains the backlog of mobile terminal user, the backlog bag
Include：Time and item content；
The prompting module is additionally operable to, and according to the backlog, is provided to the user and is reminded item.
Further, the backlog also includes：Pending personnel；
The prompting module is additionally operable to, and includes the other staff in addition to the mobile terminal user in the pending personnel
When, provided according to the backlog to the other staff and remind item.
Further, described device also includes：
Judge module, for judging whether to receive positive reply of the user for the prompting item；
The judge module is additionally operable to, receive the user for it is described prompting item positive reply when, judge
Whether current characterize data meets the execution condition of the prompting item；
Execution module, during execution condition for meeting the prompting item in current characterize data, carry described in execution
The operation behavior that item of waking up is reminded.
Further, the backlog is voice backlog；
The acquisition module is specifically used for, and carries out speech recognition and semantics recognition to the voice backlog, obtains and move
The backlog of dynamic terminal user.
The self-service device of the mobile terminal of the embodiment of the present invention, the characterize data current by obtaining mobile terminal；
Characterize data includes：User uses at least one ambient parameter information of mobile terminal；Make according to characterize data inquiry is default
With custom model, the generation for obtaining at least one operation behavior and at least one operation behavior that are matched with characterize data is general
Rate；Probability of happening corresponding to acquisition is more than at least one operation behavior of predetermined threshold value；Predetermined threshold value is more than according to probability of happening
At least one operation behavior provide a user prompting item, so as to combine user use habit and current sign
Data provide a user prompting, improve the service efficiency of intelligent sound assistant, improve the usage experience of user.
For the above-mentioned purpose, third aspect present invention embodiment proposes the self-service device of another mobile terminal,
Including：Memory, processor and storage are on a memory and the computer program that can run on a processor, it is characterised in that
The self-help service method of mobile terminal as described above is realized during the computing device described program.
To achieve these goals, fourth aspect present invention embodiment proposes a kind of computer-readable recording medium, its
On be stored with computer program, the program realizes the self-help service method of mobile terminal as described above when being executed by processor.
To achieve these goals, fifth aspect present invention embodiment proposes a kind of computer program product, when described
When instruction processing unit in computer program product performs, a kind of self-help service method of mobile terminal, methods described bag are performed
Include：
Obtain the current characterize data of mobile terminal；The characterize data includes：User uses the mobile terminal extremely
A few ambient parameter information；
Default use habit model is inquired about according to the characterize data, obtains at least one matched with the characterize data
The probability of happening of individual operation behavior and at least one operation behavior；
Probability of happening corresponding to acquisition is more than at least one operation behavior of predetermined threshold value；
At least one operation behavior for being more than predetermined threshold value according to probability of happening provides prompting item to the user.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partly become from the following description
Obtain substantially, or recognized by the practice of the present invention.
Brief description of the drawings
Of the invention above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments
Substantially and it is readily appreciated that, wherein：
Fig. 1 is a kind of schematic flow sheet of the self-help service method of mobile terminal provided in an embodiment of the present invention；
Fig. 2 is that the self-service device of mobile terminal provides a user the schematic diagram for reminding item；
The self-service device of Fig. 3 mobile terminals obtains the schematic diagram of the backlog of mobile terminal user；
Fig. 4 is that the self-service device of mobile terminal provides a user prompting thing according to the backlog of mobile terminal user
The schematic diagram of item；
Fig. 5 is that the self-service device of mobile terminal obtains the backlog of mobile terminal user, and backlog includes
The schematic diagram of other staff；
Fig. 6 provides for the self-service device of mobile terminal according to the backlog of mobile terminal user to other users
The schematic diagram for item of waking up；
Fig. 7 is the schematic flow sheet of the self-help service method of another mobile terminal provided in an embodiment of the present invention；
Fig. 8 is a kind of structural representation of the self-service device of mobile terminal provided in an embodiment of the present invention；
Fig. 9 is the structural representation of the self-service device of another mobile terminal provided in an embodiment of the present invention；
Figure 10 is the structural representation of the self-service device of another mobile terminal provided in an embodiment of the present invention；
Figure 11 is the structural representation of the self-service device of another mobile terminal provided in an embodiment of the present invention.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to for explaining the present invention, and is not considered as limiting the invention.
Below with reference to the accompanying drawings the self-help service method and device of the mobile terminal of the embodiment of the present invention are described.
Fig. 1 is a kind of schematic flow sheet of the self-help service method of mobile terminal provided in an embodiment of the present invention.Such as Fig. 1 institutes
Show, the self-help service method of the mobile terminal comprises the following steps：
S101, obtain the current characterize data of mobile terminal；Characterize data includes：User uses at least the one of mobile terminal
Individual ambient parameter information.
The executive agent of the self-help service method of mobile terminal provided by the invention is the self-service device of mobile terminal,
The self-service device of mobile terminal can be hardware on mobile terminal either software or can be with mobile terminal
The hardware or software on background server interacted.For example, the self-service device of mobile terminal can be installed in
Intelligent sound assistant on mobile terminal.
In the present embodiment, current characterize data can include：Current time, place, weather condition, moving state,
The parameters such as mobile terminal service condition.Wherein, moving state can include：Translational speed, translational acceleration, moving direction etc..
Mobile terminal service condition can include the battery electric quantity of mobile terminal.On mobile terminal locator, such as GPS can be set to determine
Position device gathers above-mentioned moving state and place；Mobile terminal can interact with weather server etc. in real time, obtain current
Weather condition.
S102, default use habit model is inquired about according to characterize data, acquisition matches at least one with characterize data
The probability of happening of operation behavior and at least one operation behavior.
In the present embodiment, use habit model includes：Each characterize data, and user can under each characterize data
At least one operation behavior and the probability of happening of at least one operation behavior that can be performed.The self-service device of mobile terminal
Current characterize data can be compared with each characterize data in use habit model, obtained in use habit model
Identical characterize data or be more than the similar characterize data of default similarity threshold to current characterize data similarity；Will
At least one operation behavior under identical characterize data or similar characterize data is defined as mobile terminal user in current table
Levy the operation behavior that may be performed under data.
Probability of happening corresponding to S103, acquisition is more than at least one operation behavior of predetermined threshold value.
In the present embodiment, the self-service device of mobile terminal can be previously according to user in use habit model each
At least one operation behavior and the probability of happening of at least one operation behavior that may be performed under characterize data, it is determined that default threshold
Value.
For example, the probability of happening at least one operation behavior that may be performed under each characterize data according to user is flat
Average, determine predetermined threshold value.Or the self-service device of mobile terminal can be directed to each sign in use habit model
Data, obtain the average value of the probability of happening at least one operation behavior that may be performed under the characterize data；Then according to each
Average value determines predetermined threshold value corresponding to characterize data.For example, will appear from the more average value of number is defined as predetermined threshold value.
S104, according to probability of happening be more than predetermined threshold value at least one operation behavior provide a user prompting item.
In the present embodiment, reminding can include in item：Probability of happening is more than at least one operation behavior of predetermined threshold value
Title or content etc..
Further, on the basis of above-described embodiment, can also include after step 104：Judge whether to receive use
Positive reply of the family for prompting item；If receiving positive reply of the user for prompting item, current sign is judged
Whether data meet the execution condition for reminding item；If current characterize data meets the execution condition for reminding item, perform
The operation behavior for reminding item to remind.
In addition, if current characterize data is unsatisfactory for reminding the execution condition of item, it is current that mobile terminal is obtained in real time
Characterize data, when current characterize data meets to remind the execution condition of item, perform the operation row for reminding item to remind
For.
For example, as shown in Fig. 2 for mobile terminal self-service device provide a user remind item schematic diagram,
" Do you want some music to help you wake up " provide for the self-service device of mobile terminal in Fig. 2
One of prompting item, for the prompting item, user gives positive reply, the self-service device root of mobile terminal
According to the positive reply of user music is played for user.The self-service device of mobile terminal has also provided the user one in Fig. 2
The prompting item of weather condition is watched, for the prompting item, user gives positive reply, the Self-Service dress of mobile terminal
Put the weather condition that active user position is provided the user according to the positive reply of user.
Further, on the basis of above-described embodiment, described method can also include：Obtain mobile terminal user's
Backlog, backlog include：Time and item content；According to backlog, prompting item is provided a user.
In addition, backlog also includes：Pending personnel.Corresponding, described method can also include：Wrapped in pending personnel
When including the other staff in addition to mobile terminal user, provided according to backlog to other staff and remind item.
In the present embodiment, in the case where backlog is voice backlog, the self-service device of mobile terminal can
First to carry out speech recognition and semantics recognition to voice backlog, the content of voice backlog is obtained, it is true according to the content
Determine the backlog of mobile terminal user.
For example, as shown in figure 3, obtain the backlog of mobile terminal user for the self-service device of mobile terminal and show
It is intended to, in figure 3, the backlog of mobile terminal user is in this morning 10:00 prompting user's Saturday needed laundry to take.Such as
Shown in Fig. 4, prompting item is provided a user according to the backlog of mobile terminal user for the self-service device of mobile terminal
Schematic diagram.As shown in figure 5, the backlog of mobile terminal user is obtained for the self-service device of mobile terminal, and it is pending
Item includes the schematic diagram of other staff.As shown in fig. 6, for mobile terminal self-service device according to mobile terminal user's
Backlog provides the schematic diagram for reminding item to other users.
In another example include in the current characterize data of mobile terminal：When the battery electric quantity of mobile terminal is less than preset value,
One of operation behavior that matched with characterize data and probability of happening is more than predetermined threshold value can be that mobile terminal is carried out
Charging.Therefore, the self-service device of mobile terminal can carry when the battery electric quantity of mobile terminal is less than preset value to user
For charge reminder item.
The self-help service method of the mobile terminal of the embodiment of the present invention, the sign number current by obtaining mobile terminal user
According to；Characterize data includes：User uses at least one ambient parameter information of mobile terminal；Inquired about according to characterize data default
Use habit model, the generation for obtaining at least one operation behavior and at least one operation behavior that are matched with characterize data are general
Rate；Probability of happening corresponding to acquisition is more than at least one operation behavior of predetermined threshold value；Predetermined threshold value is more than according to probability of happening
At least one operation behavior provide a user prompting item, so as to combine user use habit and current sign
Data provide a user prompting, improve the service efficiency of intelligent sound assistant, improve the usage experience of user.
Fig. 7 be another mobile terminal provided in an embodiment of the present invention self-help service method schematic flow sheet, such as Fig. 7
It is shown, on the basis of embodiment illustrated in fig. 1, it can also include before step 101：
S105, the historical operation behavioral data for gathering mobile terminal user, and it is corresponding with historical operation behavioral data
Characterize data；Historical operation behavioral data includes：Operation behavior of the user to each software on mobile terminal.
In the present embodiment, historical operation behavioral data can be the operation behavior number of mobile terminal user in a period of time
According to, such as mobile terminal is used before current time in 1 month, before current time in 3 months or in other historical time sections
The operation behavior data at family.In the present embodiment, the self-service device or mobile terminal of mobile terminal can use in user
During mobile terminal, the operation behavior of user is recorded in real time and at least one ambient parameter at moment occurs for operation behavior
Information, transferred so as to the self-service device of mobile terminal.
In the present embodiment, each software application software such as wechat, QQ on mobile terminal, and browser, memorandum,
Deng software etc..
S106, using historical operation behavioral data of the deep learning algorithm to mobile terminal user and corresponding sign number
According to being trained, use habit model is obtained；Use habit model includes：Each characterize data, and user is in each table
Levy the probability of happening of at least one operation behavior that may be performed under data and at least one operation behavior.
In the present embodiment, the self-service device of mobile terminal can be according to the historical operation behavior number of mobile terminal user
According to this and corresponding characterize data is trained to default deep learning model, determines each coefficient in deep learning model
Value.The input of deep learning model can be characterize data, and output can be at least one operation behavior and its probability of happening.
After deep learning model after to training, each characterize data is substituted into, obtains what user under each characterize data may perform
The probability of happening of at least one operation behavior and at least one operation behavior.
The self-help service method of the mobile terminal of the embodiment of the present invention, by the historical operation row for gathering mobile terminal user
For data, and characterize data corresponding with historical operation behavioral data；Historical operation behavioral data includes：User is to mobile whole
The operation behavior of each software on end；Using deep learning algorithm to the historical operation behavioral data of mobile terminal user and correspondingly
Characterize data be trained, obtain use habit model；Use habit model includes：Each characterize data, and user
At least one operation behavior and the probability of happening of at least one operation behavior that may be performed under each characterize data；Then
Obtain the current characterize data of mobile terminal user；Characterize data includes：User is joined using at least one environment of mobile terminal
Number information；Default use habit model is inquired about according to characterize data, obtains at least one operation row matched with characterize data
For and at least one operation behavior probability of happening；Probability of happening corresponding to acquisition is more than at least one operation of predetermined threshold value
Behavior；At least one operation behavior for being more than predetermined threshold value according to probability of happening provides a user prompting item, so as to tie
Share the use habit at family and current characterize data provide a user prompting, improve the service efficiency of intelligent sound assistant,
Improve the usage experience of user.
Fig. 8 is a kind of structural representation of the self-service device of mobile terminal provided in an embodiment of the present invention.Such as Fig. 8 institutes
Show, including：Acquisition module 81, enquiry module 82 and prompting module 83.
Wherein, acquisition module 81, the characterize data current for obtaining mobile terminal；The characterize data includes：User
Use at least one ambient parameter information of the mobile terminal；
Enquiry module 82, for inquiring about default use habit model according to the characterize data, obtain and the sign
The probability of happening of at least one operation behavior of Data Matching and at least one operation behavior；
The acquisition module 81, it is additionally operable at least one operation row that probability of happening corresponding to obtaining is more than predetermined threshold value
For；
Prompting module 83, at least one operation behavior for being more than predetermined threshold value according to probability of happening carry to the user
For reminding item.
The self-service device of mobile terminal provided by the invention can be the hardware or soft on mobile terminal
Part, the hardware or software on background server that can be either interacted with mobile terminal.
In the present embodiment, current characterize data can specifically include：Current time, place, weather condition, mobile shape
The parameters such as condition.Wherein, moving state can include：Translational speed, translational acceleration, moving direction etc..Can be with mobile terminal
Locator, such as GPS locator is set to gather above-mentioned moving state and place；Mobile terminal can in real time and weather server
Etc. interacting, current weather condition is obtained.
In the present embodiment, use habit model includes：Each characterize data, and user can under each characterize data
At least one operation behavior and the probability of happening of at least one operation behavior that can be performed.The self-service device of mobile terminal
Current characterize data can be compared with each characterize data in use habit model, obtained in use habit model
Identical characterize data or be more than the similar characterize data of default similarity threshold to current characterize data similarity；Will
At least one operation behavior under identical characterize data or similar characterize data is defined as mobile terminal user in current table
Levy the operation behavior that may be performed under data.
Further, the acquisition module is additionally operable to, and obtains the backlog of mobile terminal user, the backlog bag
Include：Time and item content；The prompting module is additionally operable to, and according to the backlog, is provided to the user and is reminded thing
.
Wherein, the backlog is voice backlog；The acquisition module is specifically used for, and the voice is waited to handle affairs
Item carries out speech recognition and semantics recognition, obtains the backlog of mobile terminal user.
Further, the backlog also includes：Pending personnel；The prompting module is additionally operable to, in the pending people
When member includes the other staff in addition to the mobile terminal user, carried according to the backlog to the other staff
Awake item.
The self-service device of the mobile terminal of the embodiment of the present invention, the sign number current by obtaining mobile terminal user
According to；Characterize data includes：User uses at least one ambient parameter information of mobile terminal；Inquired about according to characterize data default
Use habit model, the generation for obtaining at least one operation behavior and at least one operation behavior that are matched with characterize data are general
Rate；Probability of happening corresponding to acquisition is more than at least one operation behavior of predetermined threshold value；Predetermined threshold value is more than according to probability of happening
At least one operation behavior provide a user prompting item, so as to combine user use habit and current sign
Data provide a user prompting, improve the service efficiency of intelligent sound assistant, improve the usage experience of user.
Further, with reference to reference to figure 9, on the basis of embodiment illustrated in fig. 8, described device also includes：Gather mould
Block 84 and training module 85.
Wherein, acquisition module 84, for gathering the historical operation behavioral data of mobile terminal user, and with the history
Characterize data corresponding to operation behavior data；The historical operation behavioral data includes：User is to each soft on the mobile terminal
The operation behavior of part；
Training module 85, for use deep learning algorithm to the historical operation behavioral data of the mobile terminal user with
And corresponding characterize data is trained, the use habit model is obtained；The use habit model includes：Each sign
Data, and the user possible at least one operation behavior performed and at least one operation row under each characterize data
For probability of happening.
In the present embodiment, historical operation behavioral data can be the operation behavior number of mobile terminal user in a period of time
According to, such as mobile terminal is used before current time in 1 month, before current time in 3 months or in other historical time sections
The operation behavior data at family.In the present embodiment, the self-service device or mobile terminal of mobile terminal can use in user
During mobile terminal, the operation behavior of user is recorded in real time and at least one ambient parameter at moment occurs for operation behavior
Information, transferred so as to the self-service device of mobile terminal.
In the present embodiment, each software application software such as wechat, QQ on mobile terminal, and browser, memorandum
Deng software etc..
In the present embodiment, the self-service device of mobile terminal can be according to the historical operation behavior number of mobile terminal user
According to this and corresponding characterize data is trained to default deep learning model, determines each coefficient in deep learning model
Value.The input of deep learning model can be characterize data, and output can be at least one operation behavior and its probability of happening.
After deep learning model after to training, each characterize data is substituted into, obtains what user under each characterize data may perform
The probability of happening of at least one operation behavior and at least one operation behavior.
Further, on the basis of above-described embodiment, described device also includes：Determining module, for according to user
At least one operation behavior and the probability of happening of at least one operation behavior that may be performed under each characterize data,
Determine the predetermined threshold value.
For example, the probability of happening at least one operation behavior that may be performed under each characterize data according to user is flat
Average, determine predetermined threshold value.Or the self-service device of mobile terminal can be directed to each sign in use habit model
Data, obtain the average value of the probability of happening at least one operation behavior that may be performed under the characterize data；Then according to each
Average value determines predetermined threshold value corresponding to characterize data.For example, will appear from the more average value of number is defined as predetermined threshold value.
The self-service device of the mobile terminal of the embodiment of the present invention, by the historical operation row for gathering mobile terminal user
For data, and characterize data corresponding with historical operation behavioral data；Historical operation behavioral data includes：User is to mobile whole
The operation behavior of each software on end；Using deep learning algorithm to the historical operation behavioral data of mobile terminal user and correspondingly
Characterize data be trained, obtain use habit model；Use habit model includes：Each characterize data, and user
At least one operation behavior and the probability of happening of at least one operation behavior that may be performed under each characterize data；Then
Obtain the current characterize data of mobile terminal user；Characterize data includes：User is joined using at least one environment of mobile terminal
Number information；Default use habit model is inquired about according to characterize data, obtains at least one operation row matched with characterize data
For and at least one operation behavior probability of happening；Probability of happening corresponding to acquisition is more than at least one operation of predetermined threshold value
Behavior；At least one operation behavior for being more than predetermined threshold value according to probability of happening provides a user prompting item, so as to tie
Share the use habit at family and current characterize data provide a user prompting, improve the service efficiency of intelligent sound assistant,
Improve the usage experience of user.
Further, with reference to reference to figure 10, on the basis of embodiment illustrated in fig. 8, described device also includes：Judge mould
Block 86 and execution module 87.
Wherein, judge module 86, for judging whether to receive positive reply of the user for the prompting item；
The judge module 86 is additionally operable to, receive the user for it is described prompting item positive reply when, sentence
Whether current characterize data of breaking meets the execution condition of the prompting item；
Execution module 87, during execution condition for meeting the prompting item in current characterize data, described in execution
The operation behavior for reminding item to remind.
In addition, if current characterize data is unsatisfactory for reminding the execution condition of item, it is current that mobile terminal is obtained in real time
Characterize data, when current characterize data meets to remind the execution condition of item, perform the operation row for reminding item to remind
For.
Figure 11 is the structural representation of the self-service device of another mobile terminal provided in an embodiment of the present invention.The shifting
The self-service device of dynamic terminal includes：
Memory 1001, processor 1002 and it is stored in the calculating that can be run on memory 1001 and on processor 1002
Machine program.
Processor 1002 realizes the self-help service method of the mobile terminal provided in above-described embodiment when performing described program.
Further, the self-service device of mobile terminal also includes：
Communication interface 1003, for the communication between memory 1001 and processor 1002.
Memory 1001, for depositing the computer program that can be run on processor 1002.
Memory 1001 may include high-speed RAM memory, it is also possible to also including nonvolatile memory (non-
Volatile memory), a for example, at least magnetic disk storage.
Processor 1002, the Self-Service side of the mobile terminal described in above-described embodiment is realized during for performing described program
Method.
If memory 1001, processor 1002 and the independent realization of communication interface 1003, communication interface 1003, memory
1001 and processor 1002 can be connected with each other by bus and complete mutual communication.The bus can be industrial standard
Architecture (Industry Standard Architecture, referred to as ISA) bus, external equipment interconnection
(Peripheral Component, referred to as PCI) bus or extended industry-standard architecture (Extended Industry
Standard Architecture, referred to as EISA) bus etc..The bus can be divided into address bus, data/address bus, control
Bus processed etc..For ease of representing, only represented in Figure 11 with a thick line, it is not intended that an only bus or a type of
Bus.
Optionally, in specific implementation, if memory 1001, processor 1002 and communication interface 1003, are integrated in one
Realized on block chip, then memory 1001, processor 1002 and communication interface 1003 can be completed mutual by internal interface
Communication.
Processor 1002 is probably a central processing unit (Central Processing Unit, referred to as CPU), or
Person is specific integrated circuit (Application Specific Integrated Circuit, referred to as ASIC), or quilt
It is configured to implement one or more integrated circuits of the embodiment of the present invention.
The present invention also provides a kind of computer-readable recording medium, is stored thereon with computer program, the program is processed
Device realizes the self-help service method of mobile terminal as described above when performing.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or the spy for combining the embodiment or example description
Point is contained at least one embodiment or example of the present invention.In this manual, to the schematic representation of above-mentioned term not
Identical embodiment or example must be directed to.Moreover, specific features, structure, material or the feature of description can be with office
Combined in an appropriate manner in one or more embodiments or example.In addition, in the case of not conflicting, the skill of this area
Art personnel can be tied the different embodiments or example and the feature of different embodiments or example described in this specification
Close and combine.
In addition, term " first ", " second " are only used for describing purpose, and it is not intended that instruction or hint relative importance
Or the implicit quantity for indicating indicated technical characteristic.Thus, define " first ", the feature of " second " can be expressed or
Implicitly include at least one this feature.In the description of the invention, " multiple " are meant that at least two, such as two, three
It is individual etc., unless otherwise specifically defined.
Any process or method described otherwise above description in flow chart or herein is construed as, and represents to include
Module, fragment or the portion of the code of the executable instruction of one or more the step of being used to realize custom logic function or process
Point, and the scope of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discuss suitable
Sequence, including according to involved function by it is basic simultaneously in the way of or in the opposite order, carry out perform function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system including the system of processor or other can be held from instruction
The system of row system, device or equipment instruction fetch and execute instruction) use, or combine these instruction execution systems, device or set
It is standby and use.For the purpose of this specification, " computer-readable medium " can any can be included, store, communicate, propagate or pass
Defeated program is for instruction execution system, device or equipment or the dress used with reference to these instruction execution systems, device or equipment
Put.The more specifically example (non-exhaustive list) of computer-readable medium includes following：Electricity with one or more wiring
Connecting portion (electronic installation), portable computer diskette box (magnetic device), random access memory (RAM), read-only storage
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device, and portable optic disk is read-only deposits
Reservoir (CDROM).In addition, computer-readable medium, which can even is that, to print the paper of described program thereon or other are suitable
Medium, because can then enter edlin, interpretation or if necessary with it for example by carrying out optical scanner to paper or other media
His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each several part of the present invention can be realized with hardware, software, firmware or combinations thereof.Above-mentioned
In embodiment, software that multiple steps or method can be performed in memory and by suitable instruction execution system with storage
Or firmware is realized.Such as, if realized with hardware with another embodiment, following skill well known in the art can be used
Any one of art or their combination are realized：With the logic gates for realizing logic function to data-signal from
Logic circuit is dissipated, the application specific integrated circuit with suitable combinational logic gate circuit, programmable gate array (PGA), scene can compile
Journey gate array (FPGA) etc..
Those skilled in the art are appreciated that to realize all or part of step that above-described embodiment method carries
Suddenly it is that by program the hardware of correlation can be instructed to complete, described program can be stored in a kind of computer-readable storage medium
In matter, the program upon execution, including one or a combination set of the step of embodiment of the method.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing module, can also
That unit is individually physically present, can also two or more units be integrated in a module.Above-mentioned integrated mould
Block can both be realized in the form of hardware, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized in the form of software function module and as independent production marketing or in use, can also be stored in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only storage, disk or CD etc..Although have been shown and retouch above
Embodiments of the invention are stated, it is to be understood that above-described embodiment is exemplary, it is impossible to be interpreted as the limit to the present invention
System, one of ordinary skill in the art can be changed to above-described embodiment, change, replace and become within the scope of the invention
Type.
Claims (10)
- A kind of 1. self-help service method of mobile terminal, it is characterised in that including：Obtain the current characterize data of mobile terminal；The characterize data includes：User uses at least the one of the mobile terminal Individual ambient parameter information；Default use habit model is inquired about according to the characterize data, obtains at least one behaviour matched with the characterize data Make the probability of happening of behavior and at least one operation behavior；Probability of happening corresponding to acquisition is more than at least one operation behavior of predetermined threshold value；At least one operation behavior for being more than predetermined threshold value according to probability of happening provides prompting item to the user.
- 2. according to the method for claim 1, it is characterised in that before the current characterize data of the acquisition mobile terminal, Also include：The historical operation behavioral data of mobile terminal user is gathered, and corresponding with the historical operation behavioral data characterizes number According to；The historical operation behavioral data includes：Operation behavior of the user to each software on the mobile terminal；The historical operation behavioral data of the mobile terminal user and corresponding characterize data are entered using deep learning algorithm Row training, obtains the use habit model；The use habit model includes：Each characterize data, and user is each At least one operation behavior and the probability of happening of at least one operation behavior that may be performed under individual characterize data.
- 3. according to the method for claim 2, it is characterised in that before the current characterize data of the acquisition mobile terminal, Also include：At least one operation behavior that may be performed under each characterize data according to user and at least one operation row For probability of happening, determine the predetermined threshold value.
- 4. according to the method for claim 1, it is characterised in that also include：The backlog of mobile terminal user is obtained, the backlog includes：Time and item content；According to the backlog, provided to the user and remind item.
- 5. according to the method for claim 4, it is characterised in that the backlog also includes：Pending personnel；Described method also includes：When the pending personnel include other staff in addition to the mobile terminal user, according to the backlog to institute State other staff and prompting item is provided.
- 6. according to the method for claim 1, it is characterised in that described to be more than at least the one of predetermined threshold value according to probability of happening After individual operation behavior provides prompting item to the user, in addition to：Judge whether to receive positive reply of the user for the prompting item；If receiving positive reply of the user for the prompting item, judge whether current characterize data meets institute State the execution condition for reminding item；If current characterize data meets the execution condition of the prompting item, the operation row that the prompting item is reminded is performed For.
- 7. according to the method for claim 4, it is characterised in that the backlog is voice backlog；The backlog for obtaining mobile terminal user, including：Speech recognition and semantics recognition are carried out to the voice backlog, obtain the backlog of mobile terminal user.
- A kind of 8. self-service device of mobile terminal, it is characterised in that including：Acquisition module, the characterize data current for obtaining mobile terminal；The characterize data includes：User uses the movement At least one ambient parameter information of terminal；Enquiry module, for inquiring about default use habit model according to the characterize data, obtain and the characterize data At least one operation behavior and the probability of happening of at least one operation behavior matched somebody with somebody；The acquisition module, it is additionally operable at least one operation behavior that probability of happening corresponding to obtaining is more than predetermined threshold value；Prompting module, at least one operation behavior for being more than predetermined threshold value according to probability of happening provide prompting to the user Item.
- 9. device according to claim 8, it is characterised in that also include：Acquisition module, for gathering the historical operation behavioral data of mobile terminal user, and with the historical operation behavior number According to corresponding characterize data；The historical operation behavioral data includes：Operation row of the user to each software on the mobile terminal For；Training module, for using deep learning algorithm to the historical operation behavioral data of the mobile terminal user and correspondingly Characterize data be trained, obtain the use habit model；The use habit model includes：Each characterize data, And at least one operation behavior that may be performed under each characterize data of user and at least one operation behavior Probability of happening.
- 10. device according to claim 9, it is characterised in that also include：Determining module, for according to user under each characterize data may perform at least one operation behavior and it is described extremely The probability of happening of a few operation behavior, determines the predetermined threshold value.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710842696.6A CN107592421A (en) | 2017-09-18 | 2017-09-18 | Self-service method and device of mobile terminal |
| PCT/CN2018/104888 WO2019052430A1 (en) | 2017-09-18 | 2018-09-10 | Method and apparatus for self-service of mobile terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710842696.6A CN107592421A (en) | 2017-09-18 | 2017-09-18 | Self-service method and device of mobile terminal |
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| CN107592421A true CN107592421A (en) | 2018-01-16 |
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| CN201710842696.6A Pending CN107592421A (en) | 2017-09-18 | 2017-09-18 | Self-service method and device of mobile terminal |
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| CN (1) | CN107592421A (en) |
| WO (1) | WO2019052430A1 (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108470034A (en) * | 2018-02-01 | 2018-08-31 | 百度在线网络技术（北京）有限公司 | A kind of smart machine service providing method and system |
| WO2019052430A1 (en) * | 2017-09-18 | 2019-03-21 | 北京金山安全软件有限公司 | Method and apparatus for self-service of mobile terminal |
| CN111092985A (en) * | 2018-10-23 | 2020-05-01 | 奇酷互联网络科技（深圳）有限公司 | Reminding method of mobile terminal, mobile terminal and computer storage medium |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115393988B (en) * | 2022-08-26 | 2024-01-02 | 广东好太太智能家居有限公司 | Voice reminding method and device based on intelligent door lock and intelligent door lock |
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| CN102036163A (en) * | 2009-10-02 | 2011-04-27 | 索尼公司 | Behaviour pattern analysis system, mobile terminal, behaviour pattern analysis method, and program |
| CN105468161A (en) * | 2016-01-21 | 2016-04-06 | 北京百度网讯科技有限公司 | Instruction execution method and device |
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| WO2019052430A1 (en) * | 2017-09-18 | 2019-03-21 | 北京金山安全软件有限公司 | Method and apparatus for self-service of mobile terminal |
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| Publication number | Publication date |
|---|---|
| WO2019052430A1 (en) | 2019-03-21 |
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