CN107704946A - Electronic installation, Voice Navigation needing forecasting method and storage medium - Google Patents
Electronic installation, Voice Navigation needing forecasting method and storage medium Download PDFInfo
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- CN107704946A CN107704946A CN201710754565.2A CN201710754565A CN107704946A CN 107704946 A CN107704946 A CN 107704946A CN 201710754565 A CN201710754565 A CN 201710754565A CN 107704946 A CN107704946 A CN 107704946A
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- inlet wire
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9032—Query formulation
- G06F16/90332—Natural language query formulation or dialogue systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/42—Systems providing special services or facilities to subscribers
- H04M3/487—Arrangements for providing information services, e.g. recorded voice services or time announcements
- H04M3/493—Interactive information services, e.g. directory enquiries ; Arrangements therefor, e.g. interactive voice response [IVR] systems or voice portals
Abstract
The present invention, which discloses a kind of electronic installation, Voice Navigation needing forecasting method and storage medium, this method, to be included：Inlet wire number is identified, whether analysis inlet wire number is to repeat inlet wire；This for calculating inlet wire number when repeating inlet wire enters the interval duration of line-spacing last time inlet wire, and duration section belonging to determining；According to duration section and the mapping relations of Intention Anticipation model, it is determined that corresponding Intention Anticipation model；The every business of the upper K times inlet wire intention and inlet wire number of inlet wire number under one's name is obtained, inputs in the Intention Anticipation model of determination, show that the upper K times inlet wire of inlet wire number is intended to be transferred to the probability of the every business of inlet wire number under one's name respectively；Inlet wire number is calculated by the first preset rules, and this enters the probability of its every business under one's name of line options；Business by the second preset rules selection inlet wire number under one's name again, the business selected is added in navigation hint language and reported.Technical solution of the present invention realizes guiding inlet wire user and rapidly enters required service.
Description
Technical field
The present invention relates to intelligent sound Communications service field, more particularly to a kind of electronic installation, Voice Navigation requirement forecasting
Method and storage medium.
Background technology
At present, intelligent voice system uses in increasing enterprises service hot line.When enterprises service hot line connects
After receiving subscriber's drop, intelligent voice system can report leading question automatically, and the leading question includes welcome words, to prompt user to pass through
Speak transacting business, interaction saying citing etc. content.Following defect be present in current intelligent voice system：Because leading question is solid
It is fixed constant, and the user's request of different inlet wire users is different, does not have in leading question comprising the business handled required for user, because
This leading question can not guide user to rapidly enter required business service, not reach the guiding effect to user.
The content of the invention
The main object of the present invention is to provide a kind of Voice Navigation needing forecasting method, it is intended to realizes that guiding inlet wire user is fast
Speed enters required business service, lifts the guiding effect to user.
To achieve the above object, electronic installation proposed by the present invention, the electronic installation include memory, processor, institute
The Voice Navigation demand forecast system that is stored with and can run on the processor on memory is stated, the Voice Navigation demand is pre-
Following steps are realized when examining system is by the computing device：
S1, after client's inlet wire is received, identify inlet wire number, and analyze the inlet wire number whether be repeat inlet wire；
If S2, the inlet wire number is repeat inlet wire, this for calculating the inlet wire number enters line-spacing last time inlet wire
Interval duration, determine the default duration section described in the interval duration；
S3, the mapping relations according to predetermined duration section and Intention Anticipation model, determine the duration of the determination
Intention Anticipation model corresponding to section；
S4, the every business of the upper K times inlet wire intention and the inlet wire number of the inlet wire number under one's name is obtained, will
The upper K times inlet wire of the inlet wire number got is intended to and its every business under one's name inputs the Intention Anticipation of the determination
In model, show that the upper K times inlet wire of the inlet wire number is intended to be transferred to the every business of the inlet wire number under one's name respectively
Probability；
S5, be calculated according to the obtained probability and the first preset rules the inlet wire number this enter line options its
The probability of every business under one's name；
S6, according to the inlet wire number that draws, this enters line options its probability of every business and second default rule under one's name
The business of the inlet wire number under one's name is then selected, and the business selected is added in navigation hint language and reported.
Preferably, the step S5 includes：
For each single item business of the inlet wire number under one's name, the upper K inlet wire of the inlet wire number is intended to turn respectively
The probability summation for moving to this business takes average, and as the inlet wire number, this enters line options this business to obtained average
Probability.
Preferably, the step S6 includes：
The probability ranking in descending order that this enters its every business under one's name of line options by the inlet wire number；
Two corresponding business before selection, dynamic splicing are reported into navigation hint language.
Preferably, after step S1, the processor is additionally operable to perform the Voice Navigation demand forecast system, with reality
Existing following steps：If the inlet wire number is not to repeat inlet wire, system reports standard navigation signal language.
Preferably, between step S2 and S3, the processor is additionally operable to perform the Voice Navigation demand forecast system,
To realize following steps：
Analyze whether the interval duration is less than first threshold；
If the interval duration is less than first threshold, step S3 is performed；
If the interval duration is more than or equal to first threshold, obtain the Intention Anticipation associated data of the inlet wire number with
And the every business of the inlet wire number under one's name, wherein, the Intention Anticipation associated data includes：The user of the inlet wire number
Quantity, the last time intention distribution, nearest January is intended to distribution, intention in nearest March is distributed, nearest June is intended to distribution；
Regressive prediction model is called, the every business of the Intention Anticipation information of acquisition and the inlet wire number under one's name is inputted
The regressive prediction model, drawing the inlet wire number, this enters the probability of its every business under one's name of line options.
The present invention also proposes a kind of Voice Navigation needing forecasting method, it is characterised in that the method comprising the steps of：
S1, after client's inlet wire is received, identify inlet wire number, and analyze the inlet wire number whether be repeat inlet wire；
If S2, the inlet wire number is repeat inlet wire, this for calculating the inlet wire number enters line-spacing last time inlet wire
Interval duration, determine the default duration section belonging to the interval duration；
S3, the mapping relations according to predetermined duration section and Intention Anticipation model, determine the duration of the determination
Intention Anticipation model corresponding to section；
S4, the every business of the upper K times inlet wire intention and the inlet wire number of the inlet wire number under one's name is obtained, will
The upper K times inlet wire of the inlet wire number got is intended to and its every business under one's name inputs the Intention Anticipation of the determination
In model, show that the upper K times inlet wire of the inlet wire number is intended to be transferred to the every business of the inlet wire number under one's name respectively
Probability；
S5, be calculated according to the obtained probability and the first preset rules the inlet wire number this enter line options its
The probability of every business under one's name；
S6, according to the inlet wire number that draws, this enters line options its probability of every business and second default rule under one's name
The business of the inlet wire number under one's name is then selected, and the business selected is added in navigation hint language and reported.
Preferably, the step S5 includes：
For each single item business of the inlet wire number under one's name, the upper K inlet wire of the inlet wire number is intended to turn respectively
The probability summation for moving to this business takes average, and as the inlet wire number, this enters line options this business to obtained average
Probability.
Preferably, the step S6 includes：
The probability ranking in descending order that this enters its every business under one's name of line options by the inlet wire number；
Two corresponding business before selection, dynamic splicing are reported into navigation hint language.
Preferably, between step S2 and S3, this method also includes：
Analyze whether the interval duration is less than first threshold；
If the interval duration is less than first threshold, step S3 is performed；
If the interval duration is more than or equal to first threshold, obtain the Intention Anticipation associated data of the inlet wire number with
And the every business of the inlet wire number under one's name, wherein, the Intention Anticipation associated data includes：The user of the inlet wire number
Quantity, the last time intention distribution, nearest January is intended to distribution, intention in nearest March is distributed, nearest June is intended to distribution；
Regressive prediction model is called, the every business of the Intention Anticipation information of acquisition and the inlet wire number under one's name is inputted
The regressive prediction model, drawing the inlet wire number, this enters the probability of its every business under one's name of line options.
The present invention also proposes a kind of computer-readable recording medium, and the computer-readable recording medium storage has voice to lead
Navigate demand forecast system, and the Voice Navigation demand forecast system can be by least one computing device, so that described at least one
Voice Navigation needing forecasting method described in individual computing device any of the above-described.
Technical solution of the present invention, after confirming inlet wire user to repeat inlet wire, according between inlet wire user repetition inlet wire
Intention Anticipation model corresponding to being determined every duration, to be intended to be predicted to the inlet wire of inlet wire user, enter so as to predict this
This enters the respective probability of its each business under one's name of line options to line user, and the probability that system is drawn further according to prediction selects the inlet wire
The business of this most possible demand of user, the business selected is added in navigation hint language and reported；In this way, use inlet wire
Family can be directly obtained required business from navigation hint language, and rapidly enter corresponding business service by voice, improve
Guiding effect to inlet wire user.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Structure according to these accompanying drawings obtains other accompanying drawings.
Fig. 1 is the schematic flow sheet of the embodiment of Voice Navigation needing forecasting method one of the present invention；
Fig. 2 is the schematic flow sheet of the embodiment of Voice Navigation needing forecasting method two of the present invention；
Fig. 3 is the running environment schematic diagram of the embodiment of Voice Navigation demand forecast system one of the present invention；
Fig. 4 is the Program modual graph of the embodiment of Voice Navigation demand forecast system one of the present invention；
Fig. 5 is the Program modual graph of the embodiment of Voice Navigation demand forecast system two of the present invention.
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
The principle and feature of the present invention are described below in conjunction with accompanying drawing, the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the present invention.
As shown in figure 1, Fig. 1 is the schematic flow sheet of the embodiment of Voice Navigation needing forecasting method one of the present invention.
In the present embodiment, the Voice Navigation needing forecasting method includes：
Step S1, after client's inlet wire is received, inlet wire number is identified, and analyze whether the inlet wire number is to repeat
Line；
After client's inlet wire is received, system automatic identification inlet wire number, and whether have this in being recorded by query history
The inlet wire record information of inlet wire number, so that it is determined that whether the inlet wire number is to repeat inlet wire, if having this to enter in historical record
The information of wire size code can then confirm the inlet wire number to repeat inlet wire；If the inlet wire number is not to repeat inlet wire, the inlet wire
Number is new digit inlet wire, and now system reports standard navigation signal language.
Step S2, if the inlet wire number is repeats inlet wire, this for calculating the inlet wire number enters line-spacing last time
The interval duration of inlet wire, determine the default duration section belonging to the interval duration；
After it is determined that the inlet wire number is to repeat inlet wire, finds out the last inlet wire of the inlet wire number and record and obtain inlet wire
Time, the interval duration between this inlet wire of inlet wire number and last time inlet wire is calculated, and then determine that the interval duration belongs to
Which default duration section.For example, default duration section includes being less than 24 hours, 1 day to 3 days, 3 days to 7 days, it is assumed that
A length of 35 hours during the interval calculated, then the duration section belonging to the interval duration is just 1 day to 3 days.
Step S3, according to predetermined duration section and the mapping relations of Intention Anticipation model, determine the determination
Intention Anticipation model corresponding to duration section；
There is duration section and the mapping table of Intention Anticipation model, for example, duration section is corresponding to less than 1 day in system
A models, duration section are B models corresponding to 1-3 days, and duration section was C model corresponding to 3-7 days；By in lookup system
The mapping table, so that it may it is determined that the Intention Anticipation model corresponding to the duration section of current inlet wire number；Wherein, each duration section
Corresponding Intention Anticipation model is the model by off-line training.
Step S4, obtain the every industry of the upper K times inlet wire intention and the inlet wire number of the inlet wire number under one's name
Business, the upper K time inlet wire of the inlet wire number got is intended to and the meaning of its described determination of every business input under one's name
In figure forecast model, show that the upper K times inlet wire of the inlet wire number is intended to be transferred to the inlet wire number under one's name each respectively
The probability of item business；
In the present embodiment, K is preset value (for example, 2,3,4).By the history inlet wire record information for inquiring about the inlet wire number
The upper K times inlet wire for obtaining the inlet wire number is intended to, and obtains from the customer database of system the inlet wire number under one's name
All business；By the upper K inlet wire of the inlet wire number be intended to and its all business input Intention Anticipation model under one's name in, it is intended that
Forecast model is intended to according to the upper K inlet wire of input and every business information, and the upper K inlet wire for exporting the inlet wire number is intended to divide
The probability of its every business under one's name is not transferred to；For example, it is assumed that K is 2, the business of inlet wire number under one's name includes a, b, c, inlet wire
The last inlet wire of number is intended to b, inlet wire of upper last time is intended to c, it is intended that input information can be pre- more than for forecast model
Measure and be transferred to a, b, c probability (such as being respectively 0.3,0.5,0.2) by last time inlet wire intention b and anticipated by inlet wire of upper last time
Figure c is transferred to a, b, c probability (such as being respectively 0.3,0.3,0.4).In the present embodiment, each Intention Anticipation model is adopted respectively
It is trained with the historical data of the repetition inlet wire in its corresponding duration section, in Intention Anticipation model corresponding to each duration section
Training in, inlet wire each time is intended to be associated analysis with upper K time inlet wire intention, by big to Intention Anticipation model
The off-line training of amount, show that K inlet wire is intended to respectively with working as the probability transition rule between time inlet wire intention.The present embodiment
Intention Anticipation model optimization is PrefixSpan algorithm models.
Step S5, the inlet wire number is calculated according to the obtained probability and the first preset rules, and this enters line selection
Select the probability of its every business under one's name；
The upper K times inlet wire of the inlet wire number obtained by Intention Anticipation model is intended to be transferred to its name respectively by system
The probability of lower every business, is calculated that this selects it each under one's name to draw the inlet wire number respectively by the first preset rules
The probability of business.Wherein, the first preset rules can be weight mode, for example, upper K inlet wires are intended to be transferred to same business respectively
X probability, the respective weights of this probability for entering line options business X are occupied, upper K inlet wires are intended to be transferred to the business respectively
X probability then obtains this inlet wire intention selection business X probability according to respective weights summation；Certainly, the first preset rules
It can also be other manner.
Step S6, according to the inlet wire number drawn, this enters line options its probability of every business and second pre- under one's name
If rule selects the business of the inlet wire number under one's name, and the business selected is added in navigation hint language and reported.
In the present embodiment, second preset rules can be：1st, the maximum business of select probability；2nd, select probability exceedes default
The business of threshold value；3rd, business corresponding to the preceding default name of select probability ranking；Deng.The business that Voice Navigation forecasting system will be selected
It is added in navigation hint language and is reported, for example, the business selected is " vehicle insurance is reported a case to the security authorities " and " life insurance is handled ", then that reports leads
The signal language that navigates can be " you can directly say the service of needs, such as, vehicle insurance is reported a case to the security authorities or life insurance is handled "；In another example the industry selected
It is engaged in as " loan ", then the navigation hint language reported can be " you are to handle loan "；Etc..
This embodiment scheme is after confirming inlet wire user to repeat inlet wire, when repeating the interval of inlet wire according to inlet wire user
Intention Anticipation model corresponding to long determination, to be intended to be predicted to the inlet wire of inlet wire user, used so as to predict the inlet wire
This enters the respective probability of its each business under one's name of line options at family, and the probability that system is drawn further according to prediction selects inlet wire user
The business of this most possible demand, the business selected is added in navigation hint language and reported；In this way, make inlet wire user can
Required business is directly obtained from navigation hint language, and corresponding business service is rapidly entered by voice, is improved to entering
The guiding effect of line user.
Further, in the Voice Navigation needing forecasting method of the present embodiment, the step S5 includes：
For each single item business of the inlet wire number under one's name, the upper K inlet wire of the inlet wire number is intended to turn respectively
The probability summation for moving to this business takes average, and as the inlet wire number, this enters line options this business to obtained average
Probability.
In the present embodiment, system is according to the upper K times inlet wire intention of the obtained inlet wire number is transferred to respectively
The probability of the every business of inlet wire number under one's name, K is removed after the transition probability of same business is all added up and then obtains the industry
Business is when the secondary probability selected by inlet wire number.For example, K is 2, the last time inlet wire of the inlet wire number is intended to be transferred to the inlet wire number
The probability of business a under one's name is G1, and the probability that the inlet wire of upper last time of the inlet wire number is intended to be transferred to business a is G2, then this enters
The probability that wire size code book time enters line options business a be (G1+G2)/2, equally other business this quilt of the inlet wire number under one's name
The probability of selection is also equally to calculate.
Preferably, in the present embodiment, the step S6 includes：By the inlet wire number, this enters line options it is every under one's name
The probability of business ranking in descending order；Select preceding two corresponding business in the probability ranking, dynamic splicing to navigation hint language
In reported.Wherein, dynamic splicing is exactly the service fields being substituted into the business of selection in navigation hint language.
As shown in Fig. 2 Fig. 2 is the flow chart of the embodiment of Voice Navigation needing forecasting method two of the present invention.The present embodiment side
Case is based on an embodiment, and in the present embodiment, the Voice Navigation needing forecasting method also includes between step S2 and S3：
Step S7, analyzes whether the interval duration is less than first threshold；
Inlet wire client has certain relevance between the inlet wire intention of inlet wire is repeated several times.When repeating the interval of inlet wire
When long shorter, on inlet wire is intended to several times and relevance between time inlet wire is intended to is relatively strong；When repeating the interval of inlet wire
When long very long, on several times inlet wire be intended to be intended to when time inlet wire between associate system with regard to relatively weak.In the present embodiment, in system
There is provided first threshold (for example, 7 days), repeated by analyzing current inlet wire number inlet wire interval duration whether be less than this first
Threshold value, to determine whether to predict that the inlet wire of inlet wire user is intended to using Intention Anticipation model.It is less than in the interval duration
The situation of first threshold, then predict that the inlet wire of inlet wire user is intended to using Intention Anticipation model, that is, perform above-mentioned steps S3.
Step S8, if the interval duration is more than or equal to first threshold, the Intention Anticipation for obtaining the inlet wire number closes
Join the every business of data and the inlet wire number under one's name, wherein, the Intention Anticipation associated data includes：It is described enter wire size
The number of users of code, the last time intention are distributed, nearest January is intended to distribution, intention in nearest March is distributed, intention point in nearest June
Cloth；
, should because interval duration is long if the interval duration that the inlet wire number repeats inlet wire is more than or equal to first threshold
The relevance that the upper inlet wire several times of inlet wire number is intended to be intended to this inlet wire is weaker, therefore, does not use Intention Anticipation model to enter
Line Intention Anticipation；But obtain all business of the Intention Anticipation associated data and the inlet wire number of the inlet wire number under one's name.
The number of users of the inlet wire number in the Intention Anticipation associated data is the number of users of the inlet wire number (for example, one family
All using the number), the inlet wire number it is the last be intended to distribution (i.e. the inlet wire intention of the inlet wire number last time inlet wire,
The information such as inlet wire duration), (i.e. the inlet wire number is nearest for the intention distribution in the inlet wire number nearest January, nearest March and nearest June
The information such as inlet wire intention and inlet wire duration in January, in nearest March and in June recently).
Step S9, regressive prediction model is called, by the items of the Intention Anticipation information of acquisition and the inlet wire number under one's name
Business inputs the regressive prediction model, and drawing the inlet wire number, this enters the probability of its every business under one's name of line options.
In the present embodiment, the Intention Anticipation associated data of the inlet wire number and the items of inlet wire number under one's name are being got
After business, call by the good regressive prediction model of off-line training, and by the Intention Anticipation associated data and the inlet wire number name
Under every business input regressive prediction model in, so as to draw the inlet wire number, this enters line options its every business under one's name
Probability, S6 steps are then performed, to report navigation hint language.System uses the history inlet wire data in database, pre- to returning
Survey model and carry out substantial amounts of off-line training, the general of every business is selected with inlet wire number so as to analyze Intention Anticipation associated data
Rate rule.The regressive prediction model of the present embodiment is preferably softmax function models.
In addition, the present invention also proposes a kind of Voice Navigation demand forecast system.
Referring to Fig. 3, it is the running environment schematic diagram of the preferred embodiment of Voice Navigation demand forecast system 10 of the present invention.
In the present embodiment, Voice Navigation demand forecast system 10 is installed and run in electronic installation 1.Electronic installation 1
Can be the computing devices such as desktop PC, notebook, palm PC and server.The electronic installation 1 may include, but not only
It is limited to, memory 11, processor 12 and display 13.Fig. 3 illustrate only the electronic installation 1 with component 11-13, but should manage
Solution is, it is not required that implements all components shown, the more or less component of the implementation that can be substituted.
Memory 11 is a kind of computer-readable storage medium, can be the storage inside of electronic installation 1 in certain embodiments
Unit, such as the hard disk or internal memory of the electronic installation 1.Memory 11 can also be electronic installation 1 in further embodiments
The plug-in type hard disk being equipped with External memory equipment, such as electronic installation 1, intelligent memory card (Smart Media Card,
SMC), secure digital (Secure Digital, SD) blocks, flash card (Flash Card) etc..Further, memory 11 may be used also
With both internal storage units including electronic installation 1 or including External memory equipment.Memory 11 is installed on electronics for storage
The application software and Various types of data of device 1, such as program code of Voice Navigation demand forecast system 10 etc..Memory 11 may be used also
For temporarily storing the data that has exported or will export.
Processor 12 can be in certain embodiments a central processing unit (Central Processing Unit,
CPU), microprocessor or other data processing chips, for the program code or processing data stored in run memory 11, example
Such as perform Voice Navigation demand forecast system 10.
Display 13 can be in certain embodiments light-emitting diode display, liquid crystal display, touch-control liquid crystal display and
OLED (Organic Light-Emitting Diode, Organic Light Emitting Diode) touches device etc..Display 13 is used to be shown in
The information that is handled in electronic installation 1 and for showing visual user interface, such as business customizing interface etc..Electronic installation
1 part 11-13 is in communication with each other by system bus.
Referring to Fig. 4, it is the Program modual graph of the embodiment of Voice Navigation demand forecast system 10 1 of the present invention.In this implementation
In example, Voice Navigation demand forecast system 10 can be divided into one or more modules, and one or more module is stored
In memory 11, and it is performed by one or more processors (the present embodiment is processor 12), to complete the present invention.Example
Such as, in Figure 5, Voice Navigation demand forecast system 10 can be divided into identification module 101, the first determining module 102, second
Determining module 103, the first analysis module 104, the second analysis module 105 and selecting module 106.Module alleged by the present invention refers to
The series of computation machine programmed instruction section of specific function can be completed, than program more suitable for description Voice Navigation requirement forecasting system
10 implementation procedure in the electronic apparatus 1 of system, wherein：
Identification module 101, for after client's inlet wire is received, identifying inlet wire number, and analyze the inlet wire number to be
No is to repeat inlet wire；
After client's inlet wire is received, system automatic identification inlet wire number, and whether have this in being recorded by query history
The inlet wire record information of inlet wire number, so that it is determined that whether the inlet wire number is to repeat inlet wire, if having this to enter in historical record
The information of wire size code can then confirm the inlet wire number to repeat inlet wire；If the inlet wire number is not to repeat inlet wire, the inlet wire
Number is new digit inlet wire, and now system reports standard navigation signal language.
First determining module 102, after in the inlet wire number to repeat inlet wire, calculate the sheet of the inlet wire number
It is secondary enter line-spacing last time inlet wire interval duration, determine the default duration section belonging to the interval duration；
After it is determined that the inlet wire number is to repeat inlet wire, finds out the last inlet wire of the inlet wire number and record and obtain inlet wire
Time, the interval duration between this inlet wire of inlet wire number and last time inlet wire is calculated, and then determine that the interval duration belongs to
Which default duration section.For example, default duration section includes being less than 24 hours, 1 day to 3 days, 3 days to 7 days, it is assumed that
A length of 35 hours during the interval calculated, then the duration section belonging to the interval duration is just 1 day to 3 days.
Second determining module 103, for the mapping relations according to predetermined duration section and Intention Anticipation model, really
Intention Anticipation model corresponding to the duration section of the fixed determination；
There is duration section and the mapping table of Intention Anticipation model, for example, duration section is corresponding to less than 1 day in system
A models, duration section are B models corresponding to 1-3 days, and duration section was C model corresponding to 3-7 days；By in lookup system
The mapping table, so that it may it is determined that the Intention Anticipation model corresponding to the duration section of current inlet wire number；Wherein, each duration section
Corresponding Intention Anticipation model is the model by off-line training.
First analysis module 104, the upper K times inlet wire for obtaining the inlet wire number is intended to and the inlet wire number
Every business under one's name, the upper K times inlet wire of the inlet wire number got is intended to and its every business under one's name inputs
In the Intention Anticipation model of the determination, show that the upper K times inlet wire of the inlet wire number is intended to be transferred to the inlet wire respectively
The probability of the every business of number under one's name；
In the present embodiment, K is preset value (for example, 2,3,4).By the history inlet wire record information for inquiring about the inlet wire number
The upper K times inlet wire for obtaining the inlet wire number is intended to, and obtains from the customer database of system the inlet wire number under one's name
All business；By the upper K inlet wire of the inlet wire number be intended to and its all business input Intention Anticipation model under one's name in, it is intended that
Forecast model is intended to according to the upper K inlet wire of input and every business information, and the upper K inlet wire for exporting the inlet wire number is intended to divide
The probability of its every business under one's name is not transferred to；For example, it is assumed that K is 2, the business of inlet wire number under one's name includes a, b, c, inlet wire
The last inlet wire of number is intended to b, inlet wire of upper last time is intended to c, it is intended that input information can be pre- more than for forecast model
Measure and be transferred to a, b, c probability (such as being respectively 0.3,0.5,0.2) by last time inlet wire intention b and anticipated by inlet wire of upper last time
Figure c is transferred to a, b, c probability (such as being respectively 0.3,0.3,0.4).In the present embodiment, each Intention Anticipation model is adopted respectively
It is trained with the historical data of the repetition inlet wire in its corresponding duration section, in Intention Anticipation model corresponding to each duration section
Training in, inlet wire each time is intended to be associated analysis with upper K time inlet wire intention, by big to Intention Anticipation model
The off-line training of amount, show that K inlet wire is intended to respectively with working as the probability transition rule between time inlet wire intention.The present embodiment
Intention Anticipation model optimization is PrefixSpan algorithm models.
Second analysis module 105, for the inlet wire to be calculated according to the obtained probability and the first preset rules
Number this enter the probability of its every business under one's name of line options；
The upper K times inlet wire of the inlet wire number obtained by Intention Anticipation model is intended to be transferred to its name respectively by system
The probability of lower every business, is calculated that this selects it each under one's name to draw the inlet wire number respectively by the first preset rules
The probability of business.Wherein, the first preset rules can be weight mode, for example, upper K inlet wires are intended to be transferred to same business respectively
X probability, the respective weights of this probability for entering line options business X are occupied, upper K inlet wires are intended to be transferred to the business respectively
X probability then obtains this inlet wire intention selection business X probability according to respective weights summation；Certainly, the first preset rules
It can also be other manner.
Selecting module 106, for this to enter the general of line options its every business under one's name according to the inlet wire number that draws
Rate and the second preset rules select the business of the inlet wire number under one's name, and the business selected is added in navigation hint language and carried out
Report.
In the present embodiment, second preset rules can be：1st, the maximum business of select probability；2nd, select probability exceedes default
The business of threshold value；3rd, business corresponding to the preceding default name of select probability ranking；Deng.The business that Voice Navigation forecasting system will be selected
It is added in navigation hint language and is reported, for example, the business selected is " vehicle insurance is reported a case to the security authorities " and " life insurance is handled ", then that reports leads
The signal language that navigates can be " you can directly say the service of needs, such as, vehicle insurance is reported a case to the security authorities or life insurance is handled "；In another example the industry selected
It is engaged in as " loan ", then the navigation hint language reported can be " you are to handle loan "；Etc..
This embodiment scheme is after confirming inlet wire user to repeat inlet wire, when repeating the interval of inlet wire according to inlet wire user
Intention Anticipation model corresponding to long determination, to be intended to be predicted to the inlet wire of inlet wire user, used so as to predict the inlet wire
This enters the respective probability of its each business under one's name of line options at family, and the probability that system is drawn further according to prediction selects inlet wire user
The business of this most possible demand, the business selected is added in navigation hint language and reported；In this way, make inlet wire user can
Required business is directly obtained from navigation hint language, and corresponding business service is rapidly entered by voice, is improved to entering
The guiding effect of line user.
Further, the Voice Navigation demand forecast system of the present embodiment, second analysis module 105 are used to be directed to institute
The each single item business of inlet wire number under one's name is stated, the upper K inlet wire of the inlet wire number is intended to be transferred to this business respectively
Probability summation takes average, and as the inlet wire number, this enters the probability of line options this business to obtained average.
In the present embodiment, system is according to the upper K times inlet wire intention of the obtained inlet wire number is transferred to respectively
The probability of the every business of inlet wire number under one's name, K is removed after the transition probability of same business is all added up and then obtains the industry
Business is when the secondary probability selected by inlet wire number.For example, K is 2, the last time inlet wire of the inlet wire number is intended to be transferred to the inlet wire number
The probability of business a under one's name is G1, and the probability that the inlet wire of upper last time of the inlet wire number is intended to be transferred to business a is G2, then this enters
The probability that wire size code book time enters line options business a be (G1+G2)/2, equally other business this quilt of the inlet wire number under one's name
The probability of selection is also equally to calculate.
Preferably, in the present embodiment, the selecting module includes：
Sequencing unit, arranged in descending order for this probability for entering line options its every business under one's name by the inlet wire number
Name；
Selecting unit, for selecting preceding two corresponding business in the probability ranking, dynamic splicing to navigation hint language
In reported.Wherein, dynamic splicing is exactly the service fields being substituted into the business of selection in navigation hint language.
Further, reference picture 5, the Voice Navigation demand forecast system of the present embodiment also include：
3rd analysis module 107, for analyzing whether the interval duration is less than first threshold；
Inlet wire client has certain relevance between the inlet wire intention of inlet wire is repeated several times.When repeating the interval of inlet wire
When long shorter, on inlet wire is intended to several times and relevance between time inlet wire is intended to is relatively strong；When repeating the interval of inlet wire
When long very long, on several times inlet wire be intended to be intended to when time inlet wire between associate system with regard to relatively weak.In the present embodiment, in system
There is provided first threshold (for example, 7 days), repeated by analyzing current inlet wire number inlet wire interval duration whether be less than this first
Threshold value, to determine whether to predict that the inlet wire of inlet wire user is intended to using Intention Anticipation model.System is in the 3rd analysis module
107 analyze it is described interval duration be less than first threshold situation when, then the second determining module 103 is performed, using Intention Anticipation
Model come predict the inlet wire of inlet wire user be intended to.
Acquisition module 108, for it is determined that the interval duration obtains the inlet wire number more than or equal to after first threshold
Intention Anticipation associated data and the inlet wire number every business under one's name, wherein, the Intention Anticipation associated data bag
Include：The number of users of the inlet wire number, the last time intention distribution, nearest January is intended to distribution, intention in nearest March is distributed, most
Nearly June is intended to distribution；
, should because interval duration is long if the interval duration that the inlet wire number repeats inlet wire is more than or equal to first threshold
The relevance that the upper inlet wire several times of inlet wire number is intended to be intended to this inlet wire is weaker, therefore, does not use Intention Anticipation model to enter
Line Intention Anticipation；But obtain all business of the Intention Anticipation associated data and the inlet wire number of the inlet wire number under one's name.
The number of users of the inlet wire number in the Intention Anticipation associated data is the number of users of the inlet wire number (for example, one family
All using the number), the inlet wire number it is the last be intended to distribution (i.e. the inlet wire intention of the inlet wire number last time inlet wire,
The information such as inlet wire duration), (i.e. the inlet wire number is nearest for the intention distribution in the inlet wire number nearest January, nearest March and nearest June
The information such as inlet wire intention and inlet wire duration in January, in nearest March and in June recently).
Calling module 109, for calling regressive prediction model, by the Intention Anticipation information of acquisition and the inlet wire number name
Under every business input the regressive prediction model, drawing the inlet wire number, this enters line options its every business under one's name
Probability.
In the present embodiment, the Intention Anticipation associated data of the inlet wire number and the items of inlet wire number under one's name are being got
After business, call by the good regressive prediction model of off-line training, and by the Intention Anticipation associated data and the inlet wire number name
Under every business input regressive prediction model in, so as to draw the inlet wire number, this enters line options its every business under one's name
Probability, then system perform selecting module 106, to report navigation hint language.System uses the history inlet wire data in database,
Substantial amounts of off-line training is carried out to regressive prediction model, it is every so as to analyze Intention Anticipation associated data and the selection of inlet wire number
The rule of probability of business.The regressive prediction model of the present embodiment is preferably softmax function models.
Further, the present invention also proposes a kind of computer-readable recording medium, and the computer-readable recording medium is deposited
Contain Voice Navigation demand forecast system, the Voice Navigation demand forecast system can by least one computing device so that
Voice Navigation needing forecasting method in any of the above-described embodiment of at least one computing device.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the scope of the invention, it is every at this
Under the inventive concept of invention, the equivalent structure transformation made using description of the invention and accompanying drawing content, or directly/use indirectly
It is included in other related technical areas in the scope of patent protection of the present invention.
Claims (10)
1. a kind of electronic installation, it is characterised in that the electronic installation includes memory, processor, is stored on the memory
There is the Voice Navigation demand forecast system that can be run on the processor, the Voice Navigation demand forecast system is by the place
Reason device realizes following steps when performing：
S1, after client's inlet wire is received, identify inlet wire number, and analyze the inlet wire number whether be repeat inlet wire；
If S2, the inlet wire number is repeat inlet wire, this for calculating the inlet wire number enters between line-spacing last time inlet wire
Every duration, the default duration section belonging to the interval duration is determined；
S3, the mapping relations according to predetermined duration section and Intention Anticipation model, determine the duration section of the determination
Corresponding Intention Anticipation model；
S4, the every business of the upper K times inlet wire intention and the inlet wire number of the inlet wire number under one's name is obtained, will obtained
To the upper K times inlet wire of the inlet wire number be intended to and its every business under one's name inputs the Intention Anticipation model of the determination
In, show that the upper K times inlet wire of the inlet wire number is intended to be transferred to the general of the every business of the inlet wire number under one's name respectively
Rate；
S5, be calculated according to the obtained probability and the first preset rules the inlet wire number this enter line options its under one's name
The probability of every business；
S6, according to the inlet wire number that draws, this enters line options its probability of every business and choosings of the second preset rules under one's name
The business of the inlet wire number under one's name is selected, and the business selected is added in navigation hint language and reported.
2. electronic installation as claimed in claim 1, it is characterised in that the step S5 includes：
For each single item business of the inlet wire number under one's name, the upper K inlet wire of the inlet wire number is intended to be transferred to respectively
The probability summation of this business takes average, and as the inlet wire number, this enters the general of line options this business to obtained average
Rate.
3. electronic installation as claimed in claim 1, it is characterised in that the step S6 includes：
The probability ranking in descending order that this enters its every business under one's name of line options by the inlet wire number；
Two corresponding business before selection, dynamic splicing are reported into navigation hint language.
4. electronic installation as claimed in claim 1, it is characterised in that after step S1, the processor is additionally operable to perform
The Voice Navigation demand forecast system, to realize following steps：If the inlet wire number is not to repeat inlet wire, system is reported
Standard navigation signal language.
5. the electronic installation as described in any one in claim 1-4, it is characterised in that described between step S2 and S3
Processor is additionally operable to perform the Voice Navigation demand forecast system, to realize following steps：
Analyze whether the interval duration is less than first threshold；
If the interval duration is less than first threshold, step S3 is performed；
If the interval duration is more than or equal to first threshold, Intention Anticipation associated data and the institute of the inlet wire number are obtained
The every business of inlet wire number under one's name is stated, wherein, the Intention Anticipation associated data includes：The number of users of the inlet wire number
Amount, the last time intention distribution, nearest January is intended to distribution, intention in nearest March is distributed, nearest June is intended to distribution；
Regressive prediction model is called, by described in the every business input of the Intention Anticipation information of acquisition and the inlet wire number under one's name
Regressive prediction model, drawing the inlet wire number, this enters the probability of its every business under one's name of line options.
6. a kind of Voice Navigation needing forecasting method, it is characterised in that the method comprising the steps of：
S1, after client's inlet wire is received, identify inlet wire number, and analyze the inlet wire number whether be repeat inlet wire；
If S2, the inlet wire number is repeat inlet wire, this for calculating the inlet wire number enters between line-spacing last time inlet wire
Every duration, the default duration section belonging to the interval duration is determined；
S3, the mapping relations according to predetermined duration section and Intention Anticipation model, determine the duration section of the determination
Corresponding Intention Anticipation model；
S4, the every business of the upper K times inlet wire intention and the inlet wire number of the inlet wire number under one's name is obtained, will obtained
To the upper K times inlet wire of the inlet wire number be intended to and its every business under one's name inputs the Intention Anticipation model of the determination
In, show that the upper K times inlet wire of the inlet wire number is intended to be transferred to the general of the every business of the inlet wire number under one's name respectively
Rate；
S5, be calculated according to the obtained probability and the first preset rules the inlet wire number this enter line options its under one's name
The probability of every business；
S6, according to the inlet wire number that draws, this enters line options its probability of every business and choosings of the second preset rules under one's name
The business of the inlet wire number under one's name is selected, and the business selected is added in navigation hint language and reported.
7. Voice Navigation needing forecasting method as claimed in claim 6, it is characterised in that the step S5 includes：
For each single item business of the inlet wire number under one's name, the upper K inlet wire of the inlet wire number is intended to be transferred to respectively
The probability summation of this business takes average, and as the inlet wire number, this enters the general of line options this business to obtained average
Rate.
8. Voice Navigation needing forecasting method as claimed in claim 6, it is characterised in that the step S6 includes：
The probability ranking in descending order that this enters its every business under one's name of line options by the inlet wire number；
Two corresponding business before selection, dynamic splicing are reported into navigation hint language.
9. the Voice Navigation needing forecasting method as described in any one in claim 6-8, it is characterised in that in step S2 and
Between S3, this method also includes：
Analyze whether the interval duration is less than first threshold；
If the interval duration is less than first threshold, step S3 is performed；
If the interval duration is more than or equal to first threshold, Intention Anticipation associated data and the institute of the inlet wire number are obtained
The every business of inlet wire number under one's name is stated, wherein, the Intention Anticipation associated data includes：The number of users of the inlet wire number
Amount, the last time intention distribution, nearest January is intended to distribution, intention in nearest March is distributed, nearest June is intended to distribution；
Regressive prediction model is called, by described in the every business input of the Intention Anticipation information of acquisition and the inlet wire number under one's name
Regressive prediction model, drawing the inlet wire number, this enters the probability of its every business under one's name of line options.
10. a kind of computer-readable recording medium, it is characterised in that the computer-readable recording medium storage has Voice Navigation
Demand forecast system, the Voice Navigation demand forecast system can be by least one computing devices, so that described at least one
Voice Navigation needing forecasting method of the computing device as described in any one of claim 6-9.
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| CN201710754565.2A CN107704946B (en) | 2017-08-29 | 2017-08-29 | Electronic device, Voice Navigation needing forecasting method and storage medium |
| PCT/CN2017/108802 WO2019041523A1 (en) | 2017-08-29 | 2017-10-31 | Electronic apparatus, voice navigation requirement prediction method and storage medium |
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| WO2019041523A1 (en) | 2019-03-07 |
| CN107704946B (en) | 2019-05-10 |
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