CN106875218A - The price expectation method and device of data traffic product - Google Patents
The price expectation method and device of data traffic product Download PDFInfo
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- CN106875218A CN106875218A CN201710064285.9A CN201710064285A CN106875218A CN 106875218 A CN106875218 A CN 106875218A CN 201710064285 A CN201710064285 A CN 201710064285A CN 106875218 A CN106875218 A CN 106875218A
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Abstract
The invention discloses a kind of price expectation method of data traffic product.The invention also discloses a kind of price expectation device of data traffic product.The present invention determines corresponding present price forecast model according to current location information and current time information, proposed by the difference of the present price forecast model estimated data flow product put price it is corresponding enter one velocity, calculate difference propose put price and it is corresponding enter one velocity produced by total revenue, the total revenue highest is proposed and puts price as forecast price, mkt-manager can be as far as possible helped preferably to go to regulate and control the market, configure resource, so as to reduce the workload of mkt-manager.
Description
Technical field
The present invention relates to web technology field, more particularly to a kind of price expectation method and device of data traffic product.
Background technology
Data traffic product is the resource-type produced with mobile Internet high speed development in recent years and smart mobile phone popularization
Product, is on the one hand demand of the smart phone user to network traffics application, is on the one hand that operator company is whole by bandwidth resources
The service for providing is closed, data traffic product is substantially a service type product for taking Internet resources.
Service exists with demand, by being estimated to demand in advance and being calculated, and provides corresponding resource
Capacity goes support, could both ensure to meet the demand of user and perfect experience, while also will not be because of the excessive resource of configuration
And cause to waste.For example the beginning of the month market to the flow demand packet of big specification than larger, but at the end of month, the flow bag of small dimension
More can be favored by market, while can be higher to the experience requirements of network response, this is also to be determined by system order distribution speed
Fixed.
Thus, a kind of price expectation method of the data traffic product (flow bag) in electric business platform how is provided, with energy
Accurate forecast price and the distribution for entering one velocity, and then help mkt-manager preferably to go to regulate and control the market, configure
Resource, so as to reduce the workload of mkt-manager, it has also become practitioner in the art's technical problem urgently to be resolved hurrily.
The above is only used for auxiliary and understands technical scheme, does not represent and recognizes that the above is existing skill
Art.
The content of the invention
It is a primary object of the present invention to provide a kind of price expectation method and device of data traffic product, it is intended to solve
How the technical problem of the workload of mkt-manager is reduced.
To achieve the above object, the present invention provides a kind of price expectation method of data traffic product, and methods described includes
Following steps：
Obtain current location information and current time information；
Corresponding present price forecast model is determined according to the current location information and current time information；
Proposed by the difference of the present price forecast model estimated data flow product put price it is corresponding enter single speed
Degree；
Calculate difference propose put price and it is corresponding enter one velocity produced by total revenue；
The total revenue highest is proposed and puts price as forecast price.
Preferably, it is described acquisition current location information and current time information before, methods described also includes：
The electric business platform historical data in default territorial scope and preset time period is obtained, according to the electric business platform for obtaining
Historical data sets up the price expectation model of the default territorial scope and preset time period, timely to obtain different geographical scope
Between section price expectation model；
Correspondingly, it is described that corresponding present price prediction mould is determined according to the current location information and current time information
Type, specifically includes：
The current zone scope belonging to the current location information is obtained, obtains current belonging to the current time information
Time period, and using the price expectation model of the current zone scope and current slot as present price forecast model.
Preferably, the price expectation model is
P=aV+b
Wherein, V is that, into one velocity, P is the price of data traffic product, and a is relation first order, and b is line number.
Preferably, it is described that the default territorial scope and preset time period are set up according to the electric business platform historical data for obtaining
Price expectation model, specifically include：
Electric business platform historical data according to obtaining determines a in the price expectation model according to the mode of linear fit
And b, and the price expectation model of a and b will be substituted into as the default territorial scope and the price expectation model of preset time period.
Preferably, the electric business platform historical data includes：The historical price and history of data traffic product enter one velocity.
Additionally, to achieve the above object, the present invention also provides a kind of price expectation device of data traffic product, the dress
Put including：
Data acquisition module, for obtaining current location information and current time information；
Model determining module, for determining corresponding present price according to the current location information and current time information
Forecast model；
Speed estimates module, is proposed for the difference by the present price forecast model estimated data flow product and put
Price it is corresponding enter one velocity；
Income calculation module, for calculate it is different propose put price and it is corresponding enter one velocity produced by total revenue；
Price expectation module, price as forecast price is put for the total revenue highest to be proposed.
Preferably, described device also includes：
Model building module, for obtaining the electric business platform historical data in default territorial scope and preset time period,
Electric business platform historical data according to obtaining sets up the price expectation model of the default territorial scope and preset time period, to obtain
Obtain different geographical scope and the price expectation model of time period；
Correspondingly, the model determining module, is additionally operable to obtain the current zone scope belonging to the current location information,
The current slot belonging to the current time information is obtained, and the price of the current zone scope and current slot is pre-
Model is surveyed as present price forecast model.
Preferably, the price expectation model is
P=aV+b
Wherein, V is that, into one velocity, P is the price of data traffic product, and a is relation first order, and b is line number.
Preferably, the model building module, is additionally operable to according to the electric business platform historical data for obtaining according to linear fit
The mode a and b that determine in the price expectation model, and the price expectation model of a and b as the default region will be substituted into
The price expectation model of scope and preset time period.
Preferably, the electric business platform historical data includes：The historical price and history of data traffic product enter one velocity.
The present invention determines corresponding present price forecast model according to current location information and current time information, by institute
State present price forecast model estimated data flow product difference propose put price it is corresponding enter one velocity, calculate difference propose
Put price and it is corresponding enter one velocity produced by total revenue, the total revenue highest is proposed and puts price as prediction valency
Lattice, can as far as possible help mkt-manager preferably to go to regulate and control the market, configure resource, so as to reduce the work of mkt-manager
Measure.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the price expectation method first embodiment of data traffic product of the present invention；
Fig. 2 is the schematic flow sheet of the price expectation method second embodiment of data traffic product of the present invention；
Fig. 3 is the high-level schematic functional block diagram of the price expectation device first embodiment of data traffic product of the present invention；
Fig. 4 is the high-level schematic functional block diagram of the price expectation device second embodiment of data traffic product of the present invention.
The realization of the object of the invention, functional characteristics and advantage will be described further referring to the drawings in conjunction with the embodiments.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Reference picture 1, first embodiment of the invention provides a kind of price expectation method of data traffic product, methods described bag
Include：
S10：Obtain current location information and current time information；
It should be noted that the executive agent of the method for the present embodiment is user equipment, the user equipment is electric business
The equipment that the mkt-manager of retail shop is used in platform, can be mobile phone, panel computer, PC, notebook computer or palm
The equipment such as computer PDA, the present embodiment is not any limitation as to this.
It will be appreciated that the current location information is the positional information that the user equipment is presently in, it is described to work as
Preceding temporal information is the information that reflection is presently in the moment.
S20：Corresponding present price forecast model is determined according to the current location information and current time information；
In implementing, because that can there is difference, example in the price expectation model corresponding to diverse location, different time
Such as：In electric business platform, at the beginning of the month electric business platform to the flow demand packet of big specification than larger, but at the end of month, small rule
The flow Bao Huigeng of lattice is favored by market, at the same to network response experience requirements can be higher, therefore enter one velocity can be
It is different.
S30：Proposed by the difference of the present price forecast model estimated data flow product put price it is corresponding enter
One velocity；
It will be appreciated that the present price forecast model can reflection data traffic product price and enter one velocity it
Between relation, therefore, can be proposed by the difference of the present price forecast model estimated data flow product put price correspondence
Enter one velocity.
S40：Calculate difference propose put price and it is corresponding enter one velocity produced by total revenue；
It will be appreciated that due to selling price=cost price+electric business point account+product profit, selling price=standard price
Lattice × discount, enter one velocity=unit interval and enter single amount/unit interval, and cost price and electric business point account are fixed value, therefore,
After setting price and entering one velocity, you can calculate total revenue, total revenue=product profit × enter one velocity.
S50：The total revenue highest is proposed and puts price as forecast price.
In implementing, the total revenue highest is proposed puts price as forecast price, for ease of informing user, can
The forecast price is shown, certainly, difference can also be proposed the homologous thread put between price and corresponding total revenue
It is shown.
The present embodiment determines corresponding present price forecast model according to current location information and current time information, passes through
The difference of the present price forecast model estimated data flow product propose put price it is corresponding enter one velocity, calculate different plans
Set price and it is corresponding enter one velocity produced by total revenue, the total revenue highest is proposed and puts price as prediction valency
Lattice, can as far as possible help mkt-manager preferably to go to regulate and control the market, configure resource, so as to reduce the work of mkt-manager
Measure.
Reference picture 2, Fig. 2 is the schematic flow sheet of the price expectation method of data traffic product of the present invention, based on above-mentioned Fig. 1
Shown embodiment, proposes the second embodiment of the price expectation method of data traffic product of the present invention.
In the present embodiment, before the step S10, methods described also includes：
S00：The electric business platform historical data in default territorial scope and preset time period is obtained, according to the electric business for obtaining
Platform historical data sets up the price expectation model of the default territorial scope and preset time period, to obtain different geographical scope
And the price expectation model of time period；
Because the price expectation model of different geographical scope and time period generally has differences, therefore, the present embodiment can divide
The price expectation model of different geographical scope and time period is not set up.
It will be appreciated that the electric business platform historical data includes：The historical price and history of data traffic product enter list
Speed, certainly, may also include：The electric business of the data traffic product of different size attribute point account, the specification attribute includes operation
Commodity board, area, flow bag specification and application range of products, certain data traffic product of illustrating can be specially lake by minimum particle size
Move northward dynamic 100MB flow bags inside the province.
To reduce the complexity of model, in implementing, the price expectation model is
P=aV+b
Wherein, V is that, into one velocity, P is the price of data traffic product, and a is relation first order, and b is line number.
Correspondingly, it is described that the default territorial scope and preset time period are set up according to the electric business platform historical data for obtaining
Price expectation model, may particularly include：Electric business platform historical data according to obtaining determines institute according to the mode of linear fit
State a and b in price expectation model, and will substitute into the price expectation model of a and b as the default territorial scope and it is default when
Between section price expectation model.
Correspondingly, the step S20, specifically includes：
S21：The current zone scope belonging to the current location information is obtained, is obtained belonging to the current time information
Current slot, and predict mould using the price expectation model of the current zone scope and current slot as present price
Type.
Reference picture 3, first embodiment of the invention provides a kind of price expectation device of data traffic product, described device bag
Include：
Data acquisition module 10, for obtaining current location information and current time information；
It should be noted that the device of the present embodiment is deployed on user equipment, the user equipment is electric business platform
The equipment that the mkt-manager of middle retail shop is used, can be mobile phone, panel computer, PC, notebook computer or palm PC
The equipment such as PDA, the present embodiment is not any limitation as to this.
It will be appreciated that the current location information is the positional information that the user equipment is presently in, it is described to work as
Preceding temporal information is the information that reflection is presently in the moment.
Model determining module 20, for being determined corresponding to work as present value according to the current location information and current time information
Lattice forecast model；
In implementing, because that can there is difference, example in the price expectation model corresponding to diverse location, different time
Such as：In electric business platform, at the beginning of the month electric business platform to the flow demand packet of big specification than larger, but at the end of month, small rule
The flow Bao Huigeng of lattice is favored by market, at the same to network response experience requirements can be higher, therefore enter one velocity can be
It is different.
Speed estimates module 30, is proposed for the difference by the present price forecast model estimated data flow product
Put price it is corresponding enter one velocity；
It will be appreciated that the present price forecast model can reflection data traffic product price and enter one velocity it
Between relation, therefore, can be proposed by the difference of the present price forecast model estimated data flow product put price correspondence
Enter one velocity.
Income calculation module 40, for calculate it is different propose put price and it is corresponding enter one velocity produced by total revenue；
It will be appreciated that due to selling price=cost price+electric business point account+product profit, selling price=standard price
Lattice × discount, enter one velocity=unit interval and enter single amount/unit interval, and cost price and electric business point account are fixed value, therefore,
After setting price and entering one velocity, you can calculate total revenue, total revenue=product profit × enter one velocity.
Price expectation module 50, price as forecast price is put for the total revenue highest to be proposed.
In implementing, the total revenue highest is proposed puts price as forecast price, for ease of informing user, can
The forecast price is shown, certainly, difference can also be proposed the homologous thread put between price and corresponding total revenue
It is shown.
The present embodiment determines corresponding present price forecast model according to current location information and current time information, passes through
The difference of the present price forecast model estimated data flow product propose put price it is corresponding enter one velocity, calculate different plans
Set price and it is corresponding enter one velocity produced by total revenue, the total revenue highest is proposed and puts price as prediction valency
Lattice, can as far as possible help mkt-manager preferably to go to regulate and control the market, configure resource, so as to reduce the work of mkt-manager
Measure.
Reference picture 4, Fig. 4 is the high-level schematic functional block diagram of the price expectation device of data traffic product of the present invention, based on upper
The embodiment shown in Fig. 3 is stated, the second embodiment of the price expectation device of data traffic product of the present invention is proposed.
In the present embodiment, described device also includes：
Model building module 00, for obtaining the electric business platform history number in default territorial scope and preset time period
According to, the price expectation model of the default territorial scope and preset time period is set up according to the electric business platform historical data for obtaining,
To obtain the price expectation model of different geographical scope and time period；
Because the price expectation model of different geographical scope and time period generally has differences, therefore, the present embodiment can divide
The price expectation model of different geographical scope and time period is not set up.
It will be appreciated that the electric business platform historical data includes：The historical price and history of data traffic product enter list
Speed, certainly, may also include：The electric business of the data traffic product of different size attribute point account, the specification attribute includes operation
Commodity board, area, flow bag specification and application range of products, certain data traffic product of illustrating can be specially lake by minimum particle size
Move northward dynamic 100MB flow bags inside the province.
To reduce the complexity of model, in implementing, the price expectation model is
P=aV+b
Wherein, V is that, into one velocity, P is the price of data traffic product, and a is relation first order, and b is line number.
Correspondingly, it is described that the default territorial scope and preset time period are set up according to the electric business platform historical data for obtaining
Price expectation model, may particularly include：Electric business platform historical data according to obtaining determines institute according to the mode of linear fit
State a and b in price expectation model, and will substitute into the price expectation model of a and b as the default territorial scope and it is default when
Between section price expectation model.
Correspondingly, the model determining module 21, is additionally operable to obtain the current zone model belonging to the current location information
Enclose, obtain the current slot belonging to the current time information, and by the current zone scope and the valency of current slot
Lattice forecast model is used as present price forecast model.
It should be noted that herein, term " including ", "comprising" or its any other variant be intended to non-row
His property is included, so that process, method, article or system including a series of key elements not only include those key elements, and
And also include other key elements being not expressly set out, or also include for this process, method, article or system institute are intrinsic
Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including this
Also there is other identical element in the process of key element, method, article or system.
The embodiments of the present invention are for illustration only, and the quality of embodiment is not represented.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably implementation method.Based on such understanding, technical scheme is substantially done to prior art in other words
The part for going out contribution can be embodied in the form of software product, and the computer software product is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), including some instructions are used to so that a station terminal equipment (can be mobile phone, computer, clothes
Business device, air-conditioner, or network equipment etc.) perform method described in each embodiment of the invention.
The preferred embodiments of the present invention are these are only, the scope of the claims of the invention is not thereby limited, it is every to utilize this hair
Equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of price expectation method of data traffic product, it is characterised in that the described method comprises the following steps：
Obtain current location information and current time information；
Corresponding present price forecast model is determined according to the current location information and current time information；
Proposed by the difference of the present price forecast model estimated data flow product put price it is corresponding enter one velocity；
Calculate difference propose put price and it is corresponding enter one velocity produced by total revenue；
The total revenue highest is proposed and puts price as forecast price.
2. the method for claim 1, it is characterised in that the acquisition current location information and current time information it
Before, methods described also includes：
The electric business platform historical data in default territorial scope and preset time period is obtained, according to the electric business platform history for obtaining
Data set up the price expectation model of the default territorial scope and preset time period, to obtain different geographical scope and time period
Price expectation model；
It is correspondingly, described that corresponding present price forecast model is determined according to the current location information and current time information,
Specifically include：
The current zone scope belonging to the current location information is obtained, the current time belonging to the current time information is obtained
Section, and using the price expectation model of the current zone scope and current slot as present price forecast model.
3. method as claimed in claim 2, it is characterised in that the price expectation model is
P=aV+b
Wherein, V is that, into one velocity, P is the price of data traffic product, and a is relation first order, and b is line number.
4. method as claimed in claim 3, it is characterised in that described according to the electric business platform historical data for obtaining is set up
The price expectation model of default territorial scope and preset time period, specifically includes：
Electric business platform historical data according to obtaining determines a and b in the price expectation model according to the mode of linear fit,
And the price expectation model of a and b will be substituted into as the default territorial scope and the price expectation model of preset time period.
5. the method as any one of claim 2~4, it is characterised in that the electric business platform historical data includes：Number
Historical price and history according to flow product enter one velocity.
6. a kind of price expectation device of data traffic product, it is characterised in that described device includes：
Data acquisition module, for obtaining current location information and current time information；
Model determining module, for determining corresponding present price prediction according to the current location information and current time information
Model；
Speed estimates module, is proposed for the difference by the present price forecast model estimated data flow product and puts price
It is corresponding enter one velocity；
Income calculation module, for calculate it is different propose put price and it is corresponding enter one velocity produced by total revenue；
Price expectation module, price as forecast price is put for the total revenue highest to be proposed.
7. device as claimed in claim 6, it is characterised in that described device also includes：
Model building module, for obtaining the electric business platform historical data in default territorial scope and preset time period, according to
The electric business platform historical data of acquisition sets up the price expectation model of the default territorial scope and preset time period, to obtain not
With territorial scope and the price expectation model of time period；
Correspondingly, the model determining module, is additionally operable to obtain the current zone scope belonging to the current location information, obtains
Current slot belonging to the current time information, and by the current zone scope and the price expectation mould of current slot
Type is used as present price forecast model.
8. device as claimed in claim 7, it is characterised in that the price expectation model is
P=aV+b
Wherein, V is that, into one velocity, P is the price of data traffic product, and a is relation first order, and b is line number.
9. device as claimed in claim 8, it is characterised in that the model building module, is additionally operable to according to the electric business for obtaining
Platform historical data determines a and b in the price expectation model according to the mode of linear fit, and will substitute into the price of a and b
Forecast model is used as the default territorial scope and the price expectation model of preset time period.
10. the device as any one of claim 7~9, it is characterised in that the electric business platform historical data includes：
The historical price and history of data traffic product enter one velocity.
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| CN201710064285.9A CN106875218B (en) | 2017-02-04 | 2017-02-04 | Price prediction method and device for data flow product |
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|---|---|---|---|
| CN201710064285.9A CN106875218B (en) | 2017-02-04 | 2017-02-04 | Price prediction method and device for data flow product |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108537382A (en) * | 2018-04-09 | 2018-09-14 | 成都易商商盟数据服务有限公司 | A kind of electric business upward price trend prediction technique and system |
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| US20160217383A1 (en) * | 2014-04-17 | 2016-07-28 | Beijing Baidu Netcom Science And Technology Co., Ltd. | Method and apparatus for forecasting characteristic information change |
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| CN102324082A (en) * | 2011-09-08 | 2012-01-18 | 上海烟草集团有限责任公司 | Cigarette market price prediction method based on multiple linear regression |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108537382A (en) * | 2018-04-09 | 2018-09-14 | 成都易商商盟数据服务有限公司 | A kind of electric business upward price trend prediction technique and system |
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| CN106875218B (en) | 2021-09-28 |
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Denomination of invention: Price prediction methods and devices for data flow products Effective date of registration: 20230925 Granted publication date: 20210928 Pledgee: Guanggu Branch of Wuhan Rural Commercial Bank Co.,Ltd. Pledgor: WUHAN HAOYANG TECHNOLOGY Co.,Ltd. Registration number: Y2023980058319 |