CN106227844A - The method of a kind of application recommendation and terminal - Google Patents
The method of a kind of application recommendation and terminal Download PDFInfo
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- CN106227844A CN106227844A CN201610599625.3A CN201610599625A CN106227844A CN 106227844 A CN106227844 A CN 106227844A CN 201610599625 A CN201610599625 A CN 201610599625A CN 106227844 A CN106227844 A CN 106227844A
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
Embodiments providing method and terminal that a kind of application is recommended, wherein, described method includes: obtain the first application service data preset in first time period；According to default training pattern, described first application service data learnt and trains, obtaining the recommendation probabilistic forecasting function of correspondence；According to described recommendation probabilistic forecasting function, the second application service data in the second time period is preset in acquisition and carry out the prediction recommendation process of correspondence, determine the intended application needing to recommend, open and run described intended application.Use the present invention, the accuracy that application is recommended can be promoted.
Description
Technical field
The present invention relates to electronic technology field, particularly relate to method and terminal that a kind of application is recommended.
Background technology
At present, it is mostly that terminal is recommended automatically that existing application is recommended, or search behavior based on user is carried out
Recommend.In application suggested design automatically, terminal can't recommend some to apply in view of the actual demand of user automatically
Information, in these application messages, major part is all that user need not/inapplicable application message, and application recommends accuracy not
Height, as often received/view some inapplicable application recommendation informations, at this moment user in informing when user opens mobile phone
Must manually remove these application recommendation informations, increase user operation, take time and effort.
In the another kind of technical scheme carrying out application recommendation based on user's search behavior, it is to carry out answering according to keyword mostly
When wanting a Role Playing Game software of search download in terminal with recommendation, such as user, terminal can be according to user
The game name of input or the actively search of game keyword, and by searched out with described game name/keyword similarity
Higher a series of game recommdations are to user；But in practice, it has been found that user really selects to use above-mentioned recommendation application
Make expenditure the highest, or user is not intended to use above-mentioned recommendation to apply, the recommendation degree of accuracy that this application is recommended with
Sample is the highest.It is thus desirable to a kind of application suggested design recommending degree of accuracy higher.
Summary of the invention
The embodiment of the present invention provides method and the terminal of a kind of application recommendation, improves the accuracy that application is recommended.
On the one hand, the embodiment of the present invention is open provides a kind of method that application is recommended, and described method includes:
Obtain the first application service data preset in first time period；
According to default training pattern, described first application service data learnt and trains, obtaining the recommendation of correspondence
Probabilistic forecasting function；
Enter according to the second application service data that acquisition is preset in the second time period by described recommendation probabilistic forecasting function
The prediction recommendation process that row is corresponding, determines the intended application needing to recommend, the application that described intended application is shown to preset is pushed away
Recommend in interface.
On the other hand, the embodiment of the present invention is also disclosed and provides the device that a kind of application is recommended, and described device includes:
Acquiring unit, for obtaining the first application service data in default first time period；
Training unit, for described first application service data being learnt and trains according to the training pattern preset,
Obtain the recommendation probabilistic forecasting function of correspondence；
Recommendation unit, should for acquisition being preset second in the second time period according to described recommendation probabilistic forecasting function
Carry out the prediction recommendation process of correspondence by service data, determine the intended application needing to recommend, described intended application is shown
The application preset is recommended in interface.
Another further aspect, the embodiment of the present invention is also disclosed and provides a kind of terminal, and described terminal includes that described application is recommended
Device.
The embodiment of the present invention can obtain the first application service data in default first time period, and according to default training
Described first application service data is learnt and trains by model, obtains the recommendation probabilistic forecasting function of correspondence, further
Correspondence is carried out according to the second application service data that acquisition is preset in the second time period by described recommendation probabilistic forecasting function
Prediction recommendation process, determines the intended application needing to recommend, and interface is recommended in the application being shown to described intended application preset
In；So can carry out the application recommendation of correspondence according to the application service data that user is daily, targetedly, purposively recommend
Use the intended application that frequency is higher to user, improve the accuracy that application is recommended.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, in embodiment being described below required for make
Accompanying drawing be briefly described, it should be apparent that, below describe in accompanying drawing be some embodiments of the present invention, for ability
From the point of view of the those of ordinary skill of territory, on the premise of not paying creative work, it is also possible to obtain the attached of other according to these accompanying drawings
Figure.
Fig. 1 is the schematic flow sheet of a kind of application recommendation method of the embodiment of the present invention；
Fig. 2 is the schematic diagram of the recommendation probabilistic forecasting function of a kind of linear equation of the embodiment of the present invention；
Fig. 3 is the schematic flow sheet of the another kind of application recommendation method of the embodiment of the present invention；
Fig. 4 is a kind of structural representation applying recommendation apparatus of the embodiment of the present invention；
Fig. 5 is the structural representation of the another kind of application recommendation apparatus of the embodiment of the present invention；
Fig. 6 is the structural representation of a kind of terminal of the embodiment of the present invention.
Detailed description of the invention
In order to make those skilled in the art be more fully understood that the present invention program, below in conjunction with in the embodiment of the present invention
Accompanying drawing, is clearly and completely described the technical scheme in the embodiment of the present invention, it is clear that described embodiment is this
The embodiment of a bright part rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art exist
Do not make the every other embodiment obtained under creative work premise, all should belong to the scope of protection of the invention.
Term " first ", " second " and " the 3rd " in description and claims of this specification and above-mentioned accompanying drawing (as
Fruit exists) etc. be for distinguishing different object, not for describing particular order.Additionally, term " includes " and they are any
Deformation, it is intended that cover non-exclusive comprising.Such as contain series of steps or the process of unit, method, system, product
Or equipment is not limited to step or the unit listed, but the most also include step or the unit do not listed, or can
Selection of land also includes other step intrinsic for these processes, method, product or equipment or unit.
Refer to Fig. 1, be the schematic flow sheet of a kind of application recommendation method of the embodiment of the present invention, the embodiment of the present invention
Described method can apply the terminal at band communications network functionalities such as such as smart mobile phone, panel computer, intelligence wearable devices
In, specifically can be realized by the processor of these terminals.The described method of the embodiment of the present invention also comprises the steps.
S101, the first application service data obtained in default first time period.
In the embodiment of the present invention, the application service data that terminal can recorded from this terminal obtains user/system
The first application service data corresponding in the default first time period (such as 5 days, 30 days etc.) arranged in this terminal in advance；Or
Person, described terminal can by the way of wire/wireless communication (such as bluetooth, wifi, data wire, data-interface etc.) from other eventually
End/server obtains the first application service data in the default first time period of the self-defined setting of user/system.
Described application service data can include the application service data that at least two is applied, and described application service data can
With application messages such as the average informations of generation during including such as Apply Names, applying access times, application to use, or bag
Including such as application begins to use time, application to use end time, application to use the temporal informations such as duration, or include other
Running the produced data of application, the embodiment of the present invention is not construed as limiting.
Described terminal can include smart mobile phone (such as Android phone, IOS mobile phone etc.), PC, panel computer,
The Internets such as palm PC, mobile internet device (MID, Mobile Internet Devices) or wearable intelligent equipment
Equipment, the embodiment of the present invention is not construed as limiting.
Described first application service data is learnt and trains by the training pattern that S102, basis are preset, and obtains correspondence
Recommendation probabilistic forecasting function.
In the embodiment of the present invention, the default training pattern that terminal can be arranged in advance according to user/system in this terminal
The first application service data in the described default first time period got in S101 is learnt and trains, obtains therewith
Corresponding recommendation probabilistic forecasting function.
In implementing, user/system can in advance this terminal self-defined arrange some such as linear function model, two
Secondary function model, exponential Function Model, logarithmic function model, multi-stage model, Multiple Linear Regression Function model etc. are trained
Model；Or, described terminal can be (such as bluetooth, wifi, data wire, data-interface etc.) by the way of wire/wireless communication
The training patterns such as some such as Multiple Linear Regression Function models are obtained from other-end/server.Described terminal can root
According to above-mentioned training pattern and S101 get described first application service data carry out learning and train, thus draw and
The recommendation probabilistic forecasting function of correspondence.
Described recommendation probabilistic forecasting function may refer to linear function, parabolic function, Nth power function, exponential function or
The other kinds of function of person, the embodiment of the present invention is not construed as limiting.
If it is understood that the different described first application service data that described terminal is chosen is trained every time
With study, then the corresponding described recommendation probabilistic forecasting function obtained can also differ, it is also possible to identical, and the present invention is real every time
Execute example to be not construed as limiting.
Exemplarily, it is assumed that in the mobile phone B of user A, record has activity data daily time flat for user A now, example below
Property providing mobile phone B recorded the daily routines data in the A days mornings of owner user, particularly as follows: be provided with morning in mobile phone B
The alarm clock of 8:00 so as user A timing to be got up, the stopwatch timing of 8:10 in morning so as timing brushing time the most enough, morning 8:
20 check the health control software in mobile phone B in case, morning 8:30 how many referring to needs drinking-water use drip call a taxi application so that
Call a taxi company's working, 9:00 in morning of user A opens notepad appli-cation so that referring to needing work matters to be done, early the same day
Morning, 9:15 opened Efficiency Statistics software so that the work efficiency on counting user A same day is the most up to standard, 12:00 at noon opens webpage and searches
Rope tourism relevant information is so that user A is to have a holiday or vacation weekend to go on a tour to prepare.If mobile phone B detects that user A needs this mobile phone B every
It makes corresponding apply recommendation rather than timing every day user A the most when time is up automatically needs being correlated with on autonomous starting hand-set B to answer
Carry out using/checking with software；At this moment mobile phone B can obtain default the first of the self-defined setting of user/system from this mobile phone
The activity data that in time period, (such as 30 days) mobile phone B recorded, that is to say the first application service data；Mobile phone B can be according to being
The multiple linear regression model Y=β that system is arranged in advance in this mobile phone B0+β1x1+β2x2+....+βnxnGet above-mentioned
The first application service data in described default first time period carries out linear regression processing, obtains a corresponding recommendation
Probabilistic forecasting function, gives the recommendation probabilistic forecasting function of a linear equation the most as shown in Figure 2's
Schematic diagram.
It should be noted that described first application service data is being carried out by described terminal according to described default training pattern
During study and training, the described recommendation probabilistic forecasting function obtained needs to meet following condition: described first application runs
The application service data of each application that data include can continuously or Discrete Distribution is at described recommendation probabilistic forecasting function
Image on, but discrete distance not can exceed that user/system predeterminable range threshold of self-defined setting in this terminal in advance
It is worth, and/or the application number of the application service data of Discrete Distribution not can exceed that user/system is self-defined in this terminal in advance
The predetermined number threshold value arranged；If the application service data of each application that described first application service data includes meets
Above-mentioned condition, the most described terminal can export the described recommendation probabilistic forecasting function obtaining correspondence.
S103, the second application preset acquisition in the second time period according to described recommendation probabilistic forecasting function run number
According to carrying out the prediction recommendation process of correspondence, determining the intended application needing to recommend, be shown to described intended application to preset should
With recommending in interface.
In the embodiment of the present invention, terminal can obtain user/system in advance in this terminal self-defined setting preset the
The second application service data in two time periods (such as 5 days, 10 days etc.), described terminal can also be according to described in obtaining in S102
Recommend probabilistic forecasting function that described second application service data is carried out the prediction recommendation process of correspondence, therefrom determine that needs push away
The intended application recommended；After described terminal determines described intended application, described intended application can be shown by described terminal
The application of this terminal/other-end is recommended on interface, or described terminal can be corresponding with described intended application with automatic spring
Service window/service frame, user-friendly, promote Consumer's Experience.
The most alternatively, according to described recommendation probabilistic forecasting function acquisition preset the second application in the second time period
Service data carries out the prediction recommendation process of correspondence, determines the intended application needing to recommend, including:
Obtain the second application service data preset in the second time period；Wherein, described second application service data includes
The application service data of at least one application；
Respectively each application service data applied is calculated according to described recommendation probabilistic forecasting function, obtain and institute
State the recommendation probability that each application is corresponding；
Judge whether each recommendation probability obtained exists the recommendation probability exceeding default normal probability threshold value；
If there is the recommendation probability exceeding described default normal probability threshold value, then will exceed described default mark with described
Quasi-probability threshold value recommend application corresponding to probability, be defined as the intended application needing to recommend.
Described terminal can obtain user/system that this terminal recorded the presetting of self-defined setting in this terminal in advance
The second application service data in second time period；Or, described terminal can pass through network (such as wifi, bluetooth, 2G etc.) from
Other-end obtains user/system the preset in the second time period second application fortune of self-defined setting in this terminal in advance
Row data, wherein said second application service data includes at least one application service data applied.Described terminal is all right
Utilize the described recommendation probabilistic forecasting function obtained in S102 that described second application service data is calculated, obtain described the
The recommendation probability of each application in two application service datas.Described terminal can also judge to obtain each whether recommend in probability
There are more than or equal to user/system in advance in this terminal the predetermined probabilities threshold value of self-defined setting (such as 0.5,0.8
Deng)；If there is having more than the recommendation probability of described predetermined probabilities threshold value, the most described terminal can by with described more than or etc.
In the application that the recommendation probability of described predetermined probabilities threshold value is corresponding, it is defined as the intended application needing to recommend, that is to say, by described
Recommending probability to exceed the application of described predetermined probabilities threshold value, being defined as described terminal needs the target recommending user's use to answer
With；If there is the recommendation probability having less than or equal to described predetermined probabilities threshold value, the most described terminal can by with described not
Exceed described predetermined probabilities threshold value recommends application corresponding to probability, the application to be recommended such as is defined as, is i.e. application to be recommended.
Exemplarily, it is assumed that terminal needs in this terminal 6 application now, it is i.e. application A, application B, application C, application
D, application E, application F carry out recommend analyze, described terminal recorded user use within a time period above-mentioned 6 application should
By service data, it is assumed that described terminal is quoted linear equation as shown in Figure 2 and recommended probabilistic forecasting function to remember in described terminal
The application service data of 6 application in a period of time recorded is analyzed and calculates, and respectively obtains corresponding with 6 application
Recommend probability, it is assumed that be respectively PA、PB、PC、PD、PE、PF；Now, described terminal can will recommend probability answering more than 0.5 correspondence
With, as the intended application needing recommendation, it is assumed that each obtained recommends P in probabilityA=PB=PC=0.8, PD=PE=PF=
0.2, the most described terminal will determine that application A, application B and application C are the intended application needing to recommend；And apply D, application E,
The application to be recommended to be recommended such as application F is.
The most alternatively, described method also includes:
When determining each that obtain and recommending that probability exists the recommendation probability less than the normal probability threshold value preset,
Then by the described application corresponding less than the recommendation probability of the normal probability threshold value preset, it is defined as application to be recommended；
When detection arrives the history use time corresponding with described application to be recommended, send information, described prompting
Information is used for prompting the user whether to need to open described application to be recommended.
Described terminal is detecting that current time arrives the history corresponding with described application to be recommended and uses time, or institute
State terminal and detect that the time interval between the history use time that current time distance is corresponding with described application to be recommended does not surpasses
Crossing user/system when shifting to an earlier date prompt time threshold value (such as 1 minute) of self-defined setting in this terminal in advance, described terminal is permissible
Sending one or more information, described information is used for prompting the user whether to need to use described application to be recommended；
During it implements, described terminal can be sent for pointing out by modes such as voice, captions, floating frame, picture, vibrations
User is the need of the information using described application to be recommended.
The most alternatively, according to described recommendation probabilistic forecasting function acquisition preset the second application in the second time period
Service data carries out the prediction recommendation process of correspondence, after determining the intended application needing to recommend, also includes:
When detection arrives the history use time corresponding with described intended application, open and run described intended application.
Described terminal is detecting that current time arrives the history corresponding with described intended application and uses the time, or described
Terminal detects that the time interval between the history use time that current time distance is corresponding with described intended application is less than using
Family/system when shifting to an earlier date prompt time threshold value (such as 1 minute) of self-defined setting in this terminal in advance, described terminal can be automatic
Open and run described intended application, or service window/service that described terminal automatic spring is corresponding with described intended application
Frame, in order to user operation, promotes Consumer's Experience.
The most alternatively, the second application service data in the second time period is preset in described acquisition, including:
Obtain the original application service data preset in the second time period；
The described original application service data got is analyzed and screens, obtains described presetting in the second time period
Second application service data.
Described terminal can obtain user/system that this terminal recorded the presetting of self-defined setting in this terminal in advance
Original application service data in second time period；Or, described terminal can pass through network (such as wifi, bluetooth, 2G etc.) from
Other-end obtains the user/system original application preset in the second time period fortune of self-defined setting in this terminal in advance
Row data.The described original application service data got can also be entered by described terminal according to the screening rule of user/system
Row statistical analysis and screening, the described second application service data finally given in described second time period (that is to say that target should
By service data), wherein, described second application service data can include at least one application service data applied.Example
Property, described terminal needs to pick out applies access times to require more than default access times within described default second time period
Threshold value, corresponding application service data, as described second application service data, in 1 week, at least use 5 times, one
The moon at least uses in 22 times, even 1 year the application service data at least using 200 corresponding application, presets second as described
Described second application service data in time.
Preferably, the embodiment of the present invention can be additionally used in the split screen scene of terminal, is i.e. when described terminal has split screen merit
Can time, described terminal can receive user/receive the split screen that sends over of other-end/server by network and instruct, described
Terminal can respond the instruction of described split screen, opens the split screen function of described terminal.When described terminal opens the split screen merit of this terminal
After energy, the display screen interface of the most described terminal includes at least two split screen interface, and user can like/needs according to oneself
Choose at random and operate in certain split screen interface.Further, after described terminal opens split screen function, or when described
Terminal detects that when user uses certain split screen interface (as user clicks on certain split screen interface), described terminal can be at described point
Showing that interface is recommended in default application on screen interface, described default application is recommended to show the above-mentioned needs determined on interface and is pushed away
The all or part of intended application recommended, user can recommend to show interface from described default application according to the demand of oneself
These intended application in select and oneself want to use/want to be shown on this split screen interface by the application icon of its correspondence
Intended application, to be user-friendly to.Further, detect that user chooses in interface is recommended in described application when described terminal
To needing to use/intended application of display after, described terminal corresponding can be opened and be run described intended application, or, described end
The application icon corresponding with described intended application is shown on described split screen interface by end.
The embodiment of the present invention can obtain the first application service data in default first time period, and according to default training
Described first application service data is learnt and trains by model, obtains the recommendation probabilistic forecasting function of correspondence, further
Correspondence is carried out according to the second application service data that acquisition is preset in the second time period by described recommendation probabilistic forecasting function
Prediction recommendation process, determines the intended application needing to recommend, and interface is recommended in the application being shown to described intended application preset
In；So can carry out the application recommendation of correspondence according to the application service data that user is daily, targetedly, purposively recommend
Use the intended application that frequency is higher to user, improve the accuracy that application is recommended.
Refer to Fig. 3, be the schematic flow sheet of the another kind of application recommendation method of the embodiment of the present invention, the embodiment of the present invention
Described method can apply at such as smart mobile phone, panel computer, the end of the intelligence band communications network functionality such as wearable device
In end, specifically can be realized by the processor of these terminals.The described method of the embodiment of the present invention also comprises the steps.
S201, the first application service data obtained in default first time period.
If the described first application service data of S202 includes application message, then answer described according to the training pattern preset
Carry out study and the training of correspondence by information, obtain recommending probabilistic forecasting function.
If the described first application service data of S203 includes application message and temporal information, then according to the training mould preset
Described application message and described temporal information are learnt and train by type, obtain the recommendation probabilistic forecasting function of correspondence.
It should be noted that step S202 and step S203 can be alternatively, terminal can select S202 and S203
In any one step perform, that is to say that step S203 is the another kind of specific implementation of step S202.
S204, the second application service data obtained in default second time period；Wherein, described second application service data
Application service data including at least one application.
In the embodiment of the present invention, terminal can run number by first obtaining the original application preset in the second time period
According to, then the described original application service data got it is analyzed and screens, obtaining described presetting in the second time period
Second application service data.
It should be noted that step S204 can between step S201 to step S203 before any one step or it
After perform, the embodiment of the present invention is not construed as limiting.
S205, respectively each application service data applied is calculated according to described recommendation probabilistic forecasting function,
To the recommendation probability corresponding with each application described.
S206, judge to obtain each recommend whether probability exists that to exceed the recommendation of default normal probability threshold value general
Rate.
In the embodiment of the present invention, when terminal judges to each obtained recommends to exist in probability to exceed default normal probability
During the recommendation probability of threshold value, continue executing with step S207；When terminal judges to each obtained recommends to exist in probability to be less than
During the recommendation probability of normal probability threshold value preset, continue executing with step S209.
If S207 determines there is the recommendation probability exceeding described default normal probability threshold value, then will exceed with described
Described default normal probability threshold value recommend application corresponding to probability, be defined as the intended application needing to recommend.
S208, described intended application is shown in interface is recommended in default application.
When S209, the history corresponding with described intended application when detection arrival use the time, open and run described target
Application.
It should be noted that step S209 and step S208 are the most alternatively, it is i.e. that terminal can perform step S209
With any one step in step S208, or two steps are carried out, and the order performed is variable, that is to say that terminal can
To perform step S208 after first carrying out step S209, the embodiment of the present invention is not construed as limiting.
If it is general less than the recommendation of the normal probability threshold value preset that S210 determines existence in each recommendation probability obtained
During rate, then by the described application corresponding less than the recommendation probability of the normal probability threshold value preset, it is defined as application to be recommended.
When S211, the history corresponding with described application to be recommended when detection arrival use the time, send information, described
Information is used for prompting the user whether to need to open described application to be recommended.
The embodiment of the present invention can obtain the first application service data in default first time period, and according to default training
Described first application service data is learnt and trains by model, obtains the recommendation probabilistic forecasting function of correspondence, further
Correspondence is carried out according to the second application service data that acquisition is preset in the second time period by described recommendation probabilistic forecasting function
Prediction recommendation process, determines the intended application needing to recommend, and interface is recommended in the application being shown to described intended application preset
In；So can carry out the application recommendation of correspondence according to the application service data that user is daily, targetedly, purposively recommend
Use the intended application that frequency is higher to user, improve the accuracy that application is recommended.
Refer to Fig. 4, be a kind of structural representation applying recommendation apparatus of the embodiment of the present invention, the embodiment of the present invention
Described device can may be provided at the end of the band communications network functionality such as such as smart mobile phone, panel computer, intelligence wearable device
In end, described device 4 includes:
Acquiring unit 30, for obtaining the first application service data in default first time period；
Training unit 31, for learning according to the training pattern preset described first application service data and instruct
Practice, obtain the recommendation probabilistic forecasting function of correspondence；
Recommendation unit 32, for presetting second in the second time period according to described recommendation probabilistic forecasting function to acquisition
Application service data carries out the prediction recommendation process of correspondence, determines the intended application needing to recommend, described intended application is shown
In interface is recommended in default application.
Implementing of the modules related in the embodiment of the present invention refers to be correlated with in Fig. 1 to Fig. 3 correspondence embodiment
Functional module or the description of enforcement step, be not repeated herein.
The embodiment of the present invention can obtain the first application service data in default first time period, and according to default training
Described first application service data is learnt and trains by model, obtains the recommendation probabilistic forecasting function of correspondence, further
Correspondence is carried out according to the second application service data that acquisition is preset in the second time period by described recommendation probabilistic forecasting function
Prediction recommendation process, determines the intended application needing to recommend, and interface is recommended in the application being shown to described intended application preset
In；So can carry out the application recommendation of correspondence according to the application service data that user is daily, targetedly, purposively recommend
Use the intended application that frequency is higher to user, improve the accuracy that application is recommended.
Seeing also Fig. 5, be the structural representation of the another kind of application recommendation apparatus of the embodiment of the present invention, the present invention is real
Execute the described device 5 of example and may include that above-mentioned acquiring unit 30, training unit 31, recommendation unit 32, wherein,
Described training unit 31, if including application message, then according to presetting specifically for described first application service data
Training pattern described application message is carried out correspondence study and training, obtain recommend probabilistic forecasting function；Or,
Described training unit 31, if including application message and temporal information specifically for described first application service data,
Then according to the training pattern preset, described application message and described temporal information learnt and train, obtaining the recommendation of correspondence
Probabilistic forecasting function.
The most alternatively, described recommendation unit 32 includes:
Obtain subelement 320, for obtaining the second application service data in default second time period；Wherein, described
Two application service datas include at least one application service data applied；
Computation subunit 321, for running number to each application applied respectively according to described recommendation probabilistic forecasting function
According to calculating, obtain the recommendation probability corresponding with each application described；
Judgment sub-unit 322, exceedes default normal probability for judging whether to exist in each recommendation probability obtained
The recommendation probability of threshold value；
Determining subelement 323, surpassing if determining for described judgment sub-unit 322 each recommendation probability obtained exists
Cross the recommendation probability of described default normal probability threshold value, then by with the described recommendation exceeding described default normal probability threshold value
The application that probability is corresponding, is defined as the intended application needing to recommend.
The most alternatively,
Described determine subelement 323, determine each that obtain recommend in probability if being additionally operable to described judgment sub-unit 322
When there is the recommendation probability less than the normal probability threshold value preset, then by described pushing away less than the normal probability threshold value preset
Recommend the application that probability is corresponding, be defined as application to be recommended；Described recommendation unit 32 also includes:
Send subelement 324, for when the detection arrival history corresponding with described application to be recommended uses the time, sending
Information, described information is used for prompting the user whether to need to open described application to be recommended.
The most alternatively, described device also includes:
Running unit 33, for when detection arrives the history use time corresponding with described intended application, opening and transport
The described intended application of row.
The most alternatively,
Described acquiring unit 30, specifically for obtaining the original application service data preset in the second time period；To acquisition
To described original application service data be analyzed and screen, obtain described the second application preset in the second time period and run
Data.
Implementing of the modules related in the embodiment of the present invention refers to be correlated with in Fig. 1 to Fig. 3 correspondence embodiment
Functional module or the description of enforcement step, be not repeated herein.
The embodiment of the present invention can obtain the first application service data in default first time period, and according to default training
Described first application service data is learnt and trains by model, obtains the recommendation probabilistic forecasting function of correspondence, further
Correspondence is carried out according to the second application service data that acquisition is preset in the second time period by described recommendation probabilistic forecasting function
Prediction recommendation process, determines the intended application needing to recommend, opens and run described intended application.So can be according to user's day
Normal application service data carries out the application of correspondence and recommends, and targetedly, purposively recommends the target that frequency is higher
Application is to user, and terminal can also run described intended application automatically, also improves while promoting the accuracy that application is recommended
The convenient and swift property of application operating, improves Consumer's Experience.
Refer to Fig. 6 again, be the structural representation of a kind of terminal of the embodiment of the present invention.Described terminal can be intelligence hands
Machine, panel computer, the equipment of the intelligence band communications network functionality such as wearable device, as shown in Figure 6, the embodiment of the present invention described
Terminal can include the modules such as display screen, button, speaker, pick up, and also includes: at least one bus 501 and bus
501 at least one processor 502 being connected and at least one memorizer 503 being connected with bus 501, it is achieved communication function
Communicator 505, for the supply unit 504 of terminal each power consumption module for power supply.
Described processor 502 can pass through bus 501, calls the function that in memorizer 503, the code of storage is correlated with execution,
Wherein, memorizer 503 includes operating system, data transmission applications program.
Described processor 502, for obtaining the first application service data in default first time period；
According to default training pattern, described first application service data learnt and trains, obtaining the recommendation of correspondence
Probabilistic forecasting function；
Enter according to the second application service data that acquisition is preset in the second time period by described recommendation probabilistic forecasting function
The prediction recommendation process that row is corresponding, determines the intended application needing to recommend, the application that described intended application is shown to preset is pushed away
Recommend on interface.
Still optionally further, if described processor 502 is additionally operable to described first application service data and includes application message, then
According to default training pattern, described application message is carried out study and the training of correspondence, obtains recommending probabilistic forecasting function；Or
Person, if described first application service data includes application message and temporal information, then answers described according to the training pattern preset
Carry out learning and training by information and described temporal information, obtain the recommendation probabilistic forecasting function of correspondence.
Still optionally further, described processor 502 is additionally operable to obtain the second application preset in the second time period and runs number
According to；Wherein, described second application service data includes at least one application service data applied；Pre-according to described recommendation probability
Survey function respectively each application service data applied to be calculated, obtain the recommendation probability corresponding with each application described；
Judge whether each recommendation probability obtained exists the recommendation probability exceeding default normal probability threshold value；If existing and exceeding institute
State the recommendation probability of default normal probability threshold value, then by with the described recommendation probability exceeding described default normal probability threshold value
Corresponding application, is defined as the intended application needing to recommend.
Still optionally further, do not surpass if described processor 502 is additionally operable to determine in each recommendation probability obtained exist
When crossing the recommendation probability of the normal probability threshold value preset, then by the described recommendation probability pair less than the normal probability threshold value preset
The application answered, is defined as application to be recommended；When detection arrives the history use time corresponding with described application to be recommended, send
Information, described information is used for prompting the user whether to need to open described application to be recommended.
Still optionally further, described processor 502 is additionally operable to make when detection arrives the history corresponding with described intended application
When using the time, open and run described intended application.
Still optionally further, described processor 502 is additionally operable to obtain the original application preset in the second time period and runs number
According to；The described original application service data got is analyzed and screens, obtain described preset in the second time period the
Two application service datas.
The embodiment of the present invention can obtain the first application service data in default first time period, and according to default training
Described first application service data is learnt and trains by model, obtains the recommendation probabilistic forecasting function of correspondence, further
Correspondence is carried out according to the second application service data that acquisition is preset in the second time period by described recommendation probabilistic forecasting function
Prediction recommendation process, determines the intended application needing to recommend, opens and run described intended application.So can be according to user's day
Normal application service data carries out the application of correspondence and recommends, and targetedly, purposively recommends the target that frequency is higher
Application is to user, and terminal can also run described intended application automatically, also improves while promoting the accuracy that application is recommended
The convenient and swift property of application operating, improves Consumer's Experience.
The embodiment of the present invention also provides for a kind of computer-readable storage medium, and wherein, this computer-readable storage medium can store journey
Sequence, this program include when performing any application described in said method embodiment freeze the part with defrosting operational approach or
Overall Steps.
It should be noted that for aforesaid each method embodiment, in order to be briefly described, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the present invention is not limited by described sequence of movement because
According to the present invention, some step can use other orders or carry out simultaneously.Secondly, those skilled in the art also should know
Knowing, embodiment described in this description belongs to preferred embodiment, involved action and the module not necessarily present invention
Necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not has the portion described in detail in certain embodiment
Point, may refer to the associated description of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, can be by another way
Realize.Such as, device embodiment described above is only schematically, and the division of the most described unit is only one
Logic function divides, actual can have when realizing other dividing mode, the most multiple unit or assembly can in conjunction with or can
To be integrated into another system, or some features can be ignored, or does not performs.Another point, shown or discussed each other
Coupling direct-coupling or communication connection can be the INDIRECT COUPLING by some interfaces, device or unit or communication connection,
Can be being electrical or other form.
The described unit illustrated as separating component can be or may not be physically separate, shows as unit
The parts shown can be or may not be physical location, i.e. may be located at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected according to the actual needs to realize the mesh of the present embodiment scheme
's.
It addition, each functional unit in various embodiments of the present invention can be integrated in a processing unit, it is possible to
Being that unit is individually physically present, it is also possible to two or more unit are integrated in a unit.Above-mentioned integrated
Unit both can realize to use the form of hardware, it would however also be possible to employ the form of SFU software functional unit realizes.
If described integrated unit realizes and as independent production marketing or use using the form of SFU software functional unit
Time, can be stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially
The part that in other words prior art contributed or this technical scheme completely or partially can be with the form of software product
Embodying, this computer software product is stored in a storage medium, including some instructions with so that a computer
Equipment (can be for personal computer, server or the network equipment etc.) perform the whole of method described in each embodiment of the present invention or
Part steps.And aforesaid storage medium includes: USB flash disk, read only memory (ROM, Read-Only Memory), random access memory are deposited
Reservoir (RAM, Random Access Memory), portable hard drive, magnetic disc or CD etc. are various can store program code
Medium.
The above, above example only in order to technical scheme to be described, is not intended to limit；Although with reference to front
State embodiment the present invention has been described in detail, it will be understood by those within the art that: it still can be to front
State the technical scheme described in each embodiment to modify, or wherein portion of techniques feature is carried out equivalent；And these
Amendment or replacement, do not make the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.
Claims (10)
1. the method applying recommendation, it is characterised in that described method includes:
Obtain the first application service data preset in first time period；
According to default training pattern, described first application service data learnt and trains, obtaining the recommendation probability of correspondence
Anticipation function；
It is right that the second application service data preset acquisition in the second time period according to described recommendation probabilistic forecasting function is carried out
The prediction recommendation process answered, determines the intended application needing to recommend, and described intended application is shown and recommends boundary in default application
In face.
2. the method for claim 1, it is characterised in that the training pattern that described basis is preset is to described first application fortune
Row data carry out learning and training, and obtain the recommendation probabilistic forecasting function of correspondence, including:
If described first application service data includes application message, then according to the training pattern preset, described application message is carried out
Corresponding study and training, obtain recommending probabilistic forecasting function；Or,
If described first application service data includes application message and temporal information, then answer described according to the training pattern preset
Carry out learning and training by information and described temporal information, obtain the recommendation probabilistic forecasting function of correspondence.
3. the method for claim 1, it is characterised in that acquisition preset according to described recommendation probabilistic forecasting function
The second application service data in two time periods carries out the prediction recommendation process of correspondence, determines the intended application needing to recommend,
Including:
Obtain the second application service data preset in the second time period；Wherein, described second application service data includes at least
The application service data of one application；
Respectively each application service data applied is calculated according to described recommendation probabilistic forecasting function, obtain with described respectively
The recommendation probability that individual application is corresponding；
Judge whether each recommendation probability obtained exists the recommendation probability exceeding default normal probability threshold value；
The recommendation probability of described default normal probability threshold value is exceeded, then by with described to exceed described default standard general if existing
Rate threshold value recommend application corresponding to probability, be defined as the intended application needing to recommend.
4. method as claimed in claim 3, it is characterised in that also include:
If determining each that obtain when recommending that probability exists the recommendation probability less than the normal probability threshold value preset, then will
The described application corresponding less than the recommendation probability of the normal probability threshold value preset, is defined as application to be recommended；
When detection arrives the history use time corresponding with described application to be recommended, send information, described information
Need to open described application to be recommended for prompting the user whether.
5. the method as described in any one in claim 1-4, it is characterised in that described according to described recommendation probabilistic forecasting letter
Several the second application service datas preset acquisition in the second time period carry out the prediction recommendation process of correspondence, determine that needs push away
After the intended application recommended, also include:
When detection arrives the history use time corresponding with described intended application, open and run described intended application.
6. a terminal, it is characterised in that including:
Acquiring unit, for obtaining the first application service data in default first time period；
Training unit, for described first application service data being learnt and trained according to the training pattern preset, obtains
Corresponding recommendation probabilistic forecasting function；
Recommendation unit, transports for the second application preset acquisition in the second time period according to described recommendation probabilistic forecasting function
Row data carry out the prediction recommendation process of correspondence, determine the intended application needing to recommend, and described intended application are shown and are presetting
Application recommend in interface.
7. terminal as claimed in claim 6, it is characterised in that
Described training unit, if including application message, then according to the training preset specifically for described first application service data
Model carries out study and the training of correspondence to described application message, obtains recommending probabilistic forecasting function；Or,
Described training unit, if including application message and temporal information, then basis specifically for described first application service data
Described application message and described temporal information are learnt and train by the training pattern preset, and the recommendation probability obtaining correspondence is pre-
Survey function.
8. terminal as claimed in claim 6, it is characterised in that described recommendation unit includes:
Obtain subelement, for obtaining the second application service data in default second time period；Wherein, described second application fortune
Row data include at least one application service data applied；
Computation subunit, based on the application service data by applying each respectively according to described recommendation probabilistic forecasting function is carried out
Calculate, obtain the recommendation probability corresponding with each application described；
Judgment sub-unit, exceedes pushing away of default normal probability threshold value for judging whether to exist in each recommendation probability obtained
Recommend probability；
Determining subelement, exceeding described presetting if determining for described judgment sub-unit each recommendation probability obtained exists
The recommendation probability of normal probability threshold value, then by with described exceed described default normal probability threshold value recommend probability corresponding
Application, is defined as the intended application needing to recommend.
9. terminal as claimed in claim 8, it is characterised in that
Described determine subelement, determine each that obtain recommend probability exists to be less than if being additionally operable to described judgment sub-unit
During the recommendation probability of normal probability threshold value preset, then the described recommendation probability less than the normal probability threshold value preset is corresponding
Application, be defined as application to be recommended；Described recommendation unit also includes:
Send subelement, for when the detection arrival history corresponding with described application to be recommended uses the time, sending prompting and believe
Breath, described information is used for prompting the user whether to need to open described application to be recommended.
10. the terminal as described in any one in claim 6-9, it is characterised in that described terminal also includes:
Running unit, for when detection arrives the history use time corresponding with described intended application, opening and run described
Intended application.
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