CN110020876A - A kind of information generating method and device - Google Patents
A kind of information generating method and device Download PDFInfo
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Abstract
The invention discloses a kind of information generating method and devices, are related to field of computer technology.One specific embodiment of this method includes: the average daily sales volume and daily average water discharge that end article is determined according to sales volume data and data on flows, to determine the sale temperature of end article, the ring of light radiancy of end article is determined according to the quantity on order of end article and sales volume；According to the knock-down price of end article and with reference to knock-down price and the stockpile number and sales trend of end article, the price sensitivity of end article is determined using default fitting demand function；The value information of end article is generated according to sale temperature, ring of light radiancy and price sensitivity.The embodiment can merge the influence factor of more commodity values, integrate flow and sale temperature, while also having merged the halo effect and price sensitivity of commodity.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of information generating method, device, electronic equipment and calculating
Machine readable medium.
Background technique
E-commerce is grown rapidly, and increasingly gos deep into the life of consumer, the improvement of people's living standards has driven commodity
The commodity of the promotion of richness, e-commerce are more and more abundant therewith.The commodity of magnanimity greatly enhance fining pipe
The difficulty of reason positions in category management with different targets with the characteristic of apparent differentiation between different commodity
And marketing strategy.In order to seek the rapid growth of enterprise, essence in Market competition and under market environment that commodity become increasingly abundant
ZOOM analysis commodity seem increasingly important.It is that the value of commodity carries out based on the differentiation characteristic of different commodity and sales performance
Assessment and sequence are conducive to play commodity advantage, and each chief to the greatest extent promotes the overall performance of commodity to the greatest extent.
In realizing process of the present invention, at least there are the following problems in the prior art for inventor's discovery:
The prior art is not abundant enough and fine to the parameter of commodity value, generally only considers the sales volume and flow of commodity
Index, but there is very strong positive correlation between flow and sales volume: either single sales volume or flow indicator still examine by synthesis
The overall target for considering flow and sales volume, does not account for the relevance and self attributes of commodity, and has very between flow and sales volume
The positive correlation of big degree, it is not comprehensive enough for the value judgement of commodity；The many commodity of halo effect for not accounting for commodity can
The sales data of energy itself does not protrude, but can significantly drive the sale of association product, has significant ring of light effect
It answers, significance level can not be ignored；Influence of the price sensitivity of commodity itself to commodity comprehensive value, Price Sensitive are not accounted for
Property have a great impact for marketing strategy, sales potential is different, and value is also different.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of information generating method and device, more commodity values can be merged
Influence factor, integrate flow and sale temperature, while also having merged the halo effect and price sensitivity of commodity, more comprehensively；
The weight of three dimensions is determined using AHP analytic hierarchy process (AHP), weight is more reasonable, as a result more accurate.
To achieve the above object, according to an aspect of an embodiment of the present invention, a kind of information generating method is provided, is wrapped
It includes: obtaining linked character information of the end article in first time period, the linked character information includes sales volume data, flow
Data, quantity on order, sales volume, knock-down price, with reference to knock-down price and stockpile number and sales trend；According to the sales volume number
Average daily sales volume and daily average water discharge of the end article in second time period are determined according to the data on flows, described in determination
The sale temperature of end article, the first time period include the second time period；According to the end article described
Quantity on order and sales volume in one period determine the ring of light radiancy of the end article；According to the end article in institute
It states the knock-down price in first time period and refers to the stockpile number and sales trend of knock-down price and the end article, use
Default fitting demand function determines the price sensitivity of the end article；According to the sale temperature, the ring of light radiancy
The value information of the end article is generated with the price sensitivity.
Optionally, the target quotient is generated according to the sale temperature, the ring of light radiancy and the price sensitivity
Before the value information of product, the method also includes: to the sale temperature, the ring of light radiancy and the price sensitivity
It is standardized, makes it have identical dimension.
Optionally, the target quotient is generated according to the sale temperature, the ring of light radiancy and the price sensitivity
The method of the value information of product includes: to determine the sale temperature, the ring of light radiancy and the valence using analytic hierarchy process (AHP)
The respective weight of lattice susceptibility, it is quick according to the respective weight, the sale temperature, the ring of light radiancy and the price
Sensitivity calculates the value information of the end article.
Optionally it is determined that the calculation formula of the sale temperature H are as follows:
H=a1Q+a2PV
Wherein a1, a2 are default weight coefficient, and Q is average daily sales volume of the end article in the second time period,
PV is daily average water discharge of the end article in the second time period.
Optionally it is determined that the calculation formula of the ring of light radiancy R are as follows:
Wherein, n is the quantity on order for including the end article in the first time period, i=1,2,3 ..., n；
GMViIt indicates in this n order, the sales volume of other commodity in i-th of order including the end article.
Optionally, the default fitting demand function are as follows:
Wherein, α is constant, and E is the price sensitivity of the end article, and P is the knock-down price of the end article, PfFor
The reference knock-down price of the end article, θ are the reference price susceptibility of the end article, γ1For the end article
Inventory's impact factor, γ2For sales trend impact factor, I is the stockpile number of the end article, and T is the end article
Sales trend.
To achieve the above object, other side according to an embodiment of the present invention provides a kind of information generation device, packet
It includes: obtaining module, for obtaining linked character information of the end article in first time period, the linked character information includes
Sales volume data, data on flows, quantity on order, sales volume, knock-down price, with reference to knock-down price and stockpile number and sales trend；Heat
Module is spent, for determining that the end article is average daily in second time period according to the sales volume data and the data on flows
Sales volume and daily average water discharge, with the sale temperature of the determination end article, the first time period includes the second time period；
Ring of light module, for determining the target according to quantity on order of the end article in the first time period and sales volume
The ring of light radiancy of commodity；Fitting module, for the knock-down price and ginseng according to the end article in the first time period
The stockpile number and sales trend for examining knock-down price and the end article determine the mesh using default fitting demand function
Mark the price sensitivity of commodity；Computing module, for according to the sale temperature, the ring of light radiancy and the Price Sensitive
Degree generates the value information of the end article.
Optionally, described device further include: standardized module, for the computing module according to the sale temperature,
Before the ring of light radiancy and the price sensitivity generate the value information of the end article, by the sale temperature,
The ring of light radiancy and the price sensitivity are standardized, and make it have identical dimension.
Optionally, the computing module is also used to: determining that the sale temperature, the ring of light radiate using analytic hierarchy process (AHP)
Degree and the respective weight of the price sensitivity, according to the respective weight, the sale temperature, the ring of light radiancy and
The price sensitivity generates the value information of the end article.
Optionally it is determined that the calculation formula of the sale temperature H are as follows:
H=a1Q+a2PV
Wherein a1, a2 are default weight coefficient, and Q is average daily sales volume of the end article in the second time period,
PV is daily average water discharge of the end article in the second time period.
Optionally it is determined that the calculation formula of the ring of light radiancy R are as follows:
Wherein, n is the quantity on order for including the end article in the first time period, i=1,2,3 ..., n；
GMViIt indicates in this n order, the sales volume of other commodity in i-th of order including the end article.
Optionally, the default fitting demand function are as follows:
Wherein, α is constant, and E is the price sensitivity of the end article, and P is the knock-down price of the end article, PfFor
The reference knock-down price of the end article, θ are the reference price susceptibility of the end article, γ1For the end article
Inventory's impact factor, γ2For sales trend impact factor, I is the stockpile number of the end article, and T is the end article
Sales trend.
To achieve the above object, another aspect according to an embodiment of the present invention, provides a kind of electronic equipment, comprising:
One or more processors；Storage device, for storing one or more programs, when one or more of programs are by described one
A or multiple processors execute, so that one or more of processors realize any side in a kind of numerical analysis method
Method.
To achieve the above object, another aspect according to an embodiment of the present invention provides a kind of computer-readable medium,
It is stored thereon with computer program, realizes in a kind of numerical analysis method and appoints when described program is executed by one or more processors
Method described in one.
One embodiment in foregoing invention has the following advantages that or the utility model has the advantages that the positive correlation due to sales volume and flow is closed
System, is integrated into the determination that sale one dimension of temperature participates in commodity value, and the value of commodity has also merged commodity simultaneously
Halo effect and price sensitivity, more comprehensively；Commodity have been merged to the halo effect of association product, light of the commodity for other commodity
Toroidal effect is the important dimension of commodity value, some commodity can largely drive the sale of other commodity, merge commodity
Halo effect it is more objective；By data mining, itself price sensitivity of commodity has been merged, the Price Sensitive of commodity is different,
The marketing strategy of commodity is different, and Improvement is also different, will have a direct impact on the overall value of commodity；Utilize analytic hierarchy process (AHP) meter
The weight of three dimensions is calculated, weight is more reasonable, and the final calculation result of commodity value is more accurate.
Further effect possessed by above-mentioned non-usual optional way adds hereinafter in conjunction with specific embodiment
With explanation.
Detailed description of the invention
Attached drawing for a better understanding of the present invention, does not constitute an undue limitation on the present invention.Wherein:
Fig. 1 is a kind of schematic diagram of the key step of information generating method according to an embodiment of the present invention；
Fig. 2 is a kind of schematic diagram of the major part of information generation device according to an embodiment of the present invention；
Fig. 3 is that the embodiment of the present invention can be applied to exemplary system architecture figure therein；
Fig. 4 is adapted for the structural representation of the computer system for the terminal device or server of realizing the embodiment of the present invention
Figure.
Specific embodiment
Below in conjunction with attached drawing, an exemplary embodiment of the present invention will be described, including the various of the embodiment of the present invention
Details should think them only exemplary to help understanding.Therefore, those of ordinary skill in the art should recognize
It arrives, it can be with various changes and modifications are made to the embodiments described herein, without departing from scope and spirit of the present invention.Together
Sample, for clarity and conciseness, descriptions of well-known functions and structures are omitted from the following description.
Fig. 1 is a kind of schematic diagram of the key step of information generating method according to an embodiment of the present invention, as shown in Figure 1:
Step S101 indicates to obtain linked character information of the end article in first time period, the linked character information
Including sales volume data, data on flows, quantity on order, sales volume, knock-down price, become with reference to knock-down price and stockpile number and sale
Gesture；Wherein the first time period can be 12 months, and end article is to select it needs to be determined that the commodity of value.End article
Sales volume data, data on flows, quantity on order, sales volume, knock-down price, with reference to knock-down price and stockpile number and sales trend
Source can be Data Mart of electric business website, including knock-down price information, inventory information, upper and lower cabinet information, order data etc.,
These data can also clean data by before use, reject data in exceptional value, fill up missing values, than if any
Some fields are vacancies on a little commodity, then requiring supplementation with data could participate in calculating, so missing values are filled up, missing values
It is sky or is zero if logic of supplementarity can be other data of the commodity, it is 0 that missing values, which are filled up, and other situations are then
It fills up as the average value of other commodity, it is therefore an objective to the data of commodity be made to fully participate in calculating.For example, using Hive language (base
In a Tool for Data Warehouse of Hadoop, the data file of structuring can be mapped as to a database table, and letter is provided
Single query function) in Data Mart inquiry order table, merchandise news table, flowmeter, cash statement, it obtains end article nearly 28 days
The sales volume and data on flows of (second time period) and nearly 12 months (first time period) order informations (including end article
Knock-down price, in same order other commodity sales volume), upper and lower cabinet information and inventory information, be processed into data middle table
SKU_inf；It is read and has been located using HQL (Hibernate Query Language is a kind of query language of object-oriented)
The data middle table managed, and be transmitted to csv format (Comma-Separated Values, comma separated value file format)
Be mounted with Python (a kind of explanation type computer programming language of object-oriented) and R (one kind for statisticalling analyze,
The language and operating environment of drawing) server on；Data outliers are cleaned with Python and R on the server, and fill up several
According to missing values.
S102 indicates to determine the end article in second time period according to the sales volume data and the data on flows
Average daily sales volume and daily average water discharge, with the sale temperature of the determination end article, the first time period includes described second
Period；The end article is determined according to quantity on order of the end article in the first time period and sales volume
Ring of light radiancy；According to knock-down price of the end article in the first time period and refer to knock-down price and the mesh
The stockpile number and sales trend for marking commodity determine the price sensitivity of the end article using default fitting demand function；
The purpose of this step is that the above-mentioned data information of fusion more fully determines the factor for influencing commodity value.
Wherein, sale temperature can be used for describing consumer to the attention rate of end article and the sales volume of end article, light
Ring radiancy is the index of halo effect, Price Sensitive for describing the sale degree that end article drives other associated articles
Degree is for describing end article price for the influence degree of sales volume.The daily average water discharge of end article can be end article details
The click volume or pageview of the page.Second time period can be nearest 28 days in first time period, first time with second
Period can also be equal.
Determine the calculation formula of the sale temperature H are as follows:
H=a1Q+a2PV
Wherein a1, a2 are default weight coefficient, and Q is average daily sales volume of the end article in the second time period, and PV is
Daily average water discharge of the end article in the second time period.Due to the positive correlation of sales volume and flow, it is integrated into pin
Sell temperature one dimension.
Determine the calculation formula of the ring of light radiancy R are as follows:
Wherein, n is the quantity on order for including end article, i=1,2,3 ..., n；
GMViIt indicates in this n order, the sales volume of other commodity in i-th of order including the commodity.
The default fitting demand function are as follows:
Wherein, in the first time period, α is constant, and E is the price sensitivity of end article, and P is end article
Knock-down price, PfFor the reference knock-down price (can be the knock-down price of other sales platforms or channel) of end article, θ is end article
Reference price susceptibility (can be the price sensitivity that sales platform or channel are corresponded to reference to knock-down price), γ1For end article
Inventory's impact factor, γ2For sales trend impact factor, I is the stockpile number of end article, and T is that the sale of end article becomes
Gesture can take the sales volume change rate of end article same period previous year.It can be according to the target that can be obtained by data grabber
The reference knock-down price P of the knock-down price P of commodity, end articlef, the stockpile number I of end article and the sales trend of end article
T solves price sensitivity E by curve-fitting method.
Step S103 indicates to generate the mesh according to the sale temperature, the ring of light radiancy and the price sensitivity
Mark the value information of commodity.
The value of the end article is generated according to the sale temperature, the ring of light radiancy and the price sensitivity
Before information, the method also includes: standard is carried out to the sale temperature, the ring of light radiancy and the price sensitivity
Change processing, makes it have identical dimension.The principle of standardization is identical for the different data of dimension are processed into dimension
Data all standardizations are such as data of the value between section [0,1] by data, this step can make calculated result more quasi-
Really.
The value of the end article is generated according to the sale temperature, the ring of light radiancy and the price sensitivity
The method of information includes: to determine the sale temperature, the ring of light radiancy and the price sensitivity using analytic hierarchy process (AHP)
Respective weight is generated according to the respective weight, the sale temperature, the ring of light radiancy and the price sensitivity
The value information of end article.
Wherein, analytic hierarchy process (AHP) (The analytic hierarchy process, abbreviation AHP) be by with decision always
Related element resolves into the levels such as target, criterion, scheme, carries out the decision-making party of qualitative and quantitative analysis on basis herein
Method.Comparison between any two is carried out to the sale temperature H, the ring of light radiancy R and the price sensitivity E, successively structure
Make judgment matrix A=aij> 0, aij=1/aji, i, j=1,2,3, find out the corresponding feature of maximum eigenvalue of judgment matrix A to
Amount, the element of this feature vector are the weight of the corresponding sale temperature H, the ring of light radiancy R and the price sensitivity E
WH、WRAnd WE, then end article value G calculation formula are as follows:
G=WH·H+WR·R+WE·E
Fig. 2 is a kind of schematic diagram of the major part of information generation device 200 according to an embodiment of the present invention, such as Fig. 2 institute
Show:
Module 201 is obtained, for obtaining linked character information of the end article in first time period, the linked character
Information include sales volume data, data on flows, quantity on order, sales volume, knock-down price, with reference to knock-down price and stockpile number and pin
Sell trend；Wherein the first time period can be 12 months, and end article is to select it needs to be determined that the commodity of value.Target
Other commodity in the average daily sales volumes of commodity, daily average water discharge, the quantity on order including end article and the order including end article
The data source of sales volume can be the Data Mart of electric business website, including knock-down price information, inventory information, upper and lower cabinet letter
Breath, order data etc. can also clean data before these data are by use, reject the exceptional value in data, fill out
Mending some fields on missing values, such as some commodity is vacancy, then requiring supplementation with data could participate in calculating, so to fill up
Missing values, if the logic of supplementarity of missing values can be other data of end article and be sky or be zero, missing values
Filling up is 0, and other situations are then filled up as the average value of other commodity, it is therefore an objective to the data of end article be made to fully participate in meter
It calculates.For example, using Hive language, (Tool for Data Warehouse based on Hadoop can map the data file of structuring
For a database table, and provide simple query function) order table, merchandise news table, flowmeter, library are inquired in Data Mart
It deposits table, obtains sales volume and data on flows and nearly 12 months (first time period) of nearly 28 days of end article (second time period)
Order information (knock-down price, with the sales volume of commodity other in order) including end article, upper and lower cabinet information and inventory's letter
Breath, is processed into data middle table SKU_inf；Using HQL, (Hibernate Query Language is a kind of object-oriented
Query language) the data middle table handled well is read, and with csv format (Comma-Separated Values, comma point
Every value file format) be transmitted to be mounted with Python (a kind of explanation type computer programming language of object-oriented) and
The server of R (language and operating environment for statisticalling analyze, drawing) a kind of；It is cleaned on the server with Python and R
Data outliers, and fill up shortage of data value.
Temperature module 202, for determining the end article second according to the sales volume data and the data on flows
Average daily sales volume and daily average water discharge in period, with the sale temperature of the determination end article, the first time period includes
The second time period；Wherein, sale temperature can be used for describing consumer to the attention rate of end article and end article
Sales volume.The daily average water discharge of end article can be the click volume or pageview of end article details page.Second time period can be with
For nearest 28 days in first time period, first time can also be equal with second time period.
Determine the calculation formula of the sale temperature H are as follows:
H=a1Q+a2PV
Wherein a1, a2 are default weight coefficient, and Q is average daily sales volume of the end article in the second time period, and PV is
Daily average water discharge of the end article in the second time period.Due to the positive correlation of sales volume and flow, it is integrated into pin
Sell temperature one dimension.
Ring of light module 203, for the quantity on order and sales volume according to the end article in the first time period
Determine the ring of light radiancy of the end article；Wherein, ring of light radiancy drives other associated articles for describing end article
Sale degree, be the index of halo effect.
Determine the calculation formula of the ring of light radiancy R are as follows:
Wherein, n is the quantity on order for including end article in the first time period, i=1,2,3 ..., n；
GMViIt indicates in this n order, the sales volume of other commodity in i-th of order including end article.
Fitting module 204, for the knock-down price and reference conclusion of the business according to the end article in the first time period
The stockpile number and sales trend of valence and the end article determine the end article using default fitting demand function
Price sensitivity；Price sensitivity is for describing commodity price for the influence degree of sales volume.
The default fitting demand function are as follows:
Wherein, α is constant, and E is the price sensitivity of end article, and P is the knock-down price of end article, PfFor end article
Reference knock-down price (can be the knock-down price of other sales platforms or channel), θ is that the reference price susceptibility of end article (can be
The price sensitivity of sales platform or channel is corresponded to reference to knock-down price), γ1For inventory's impact factor of end article, γ2For pin
The tendency influence factor is sold, I is the stockpile number of end article, and T is the sales trend of end article, can be taken one on end article
The sales volume change rate of the annual same period.It can be according to knock-down price P, the end article for the end article that data grabber obtains can be passed through
Reference knock-down price Pf, the stockpile number I of end article and the sales trend T of end article, solved by curve-fitting method
Price sensitivity E.
Computing module 205, for generating institute according to the sale temperature, the ring of light radiancy and the price sensitivity
State the value information of end article.
Computing module 205 is also used to: determining the sale temperature, the ring of light radiancy and described using analytic hierarchy process (AHP)
The respective weight of price sensitivity, according to the respective weight, the sale temperature, the ring of light radiancy and the price
The value information of susceptibility generation end article.Wherein, analytic hierarchy process (AHP) (The analytic hierarchy process,
Abbreviation AHP) it is to be determined on basis herein by always related element resolves into the levels such as target, criterion, scheme with decision
The decision-making technique of property and quantitative analysis.Two are carried out to the sale temperature H, the ring of light radiancy R and the price sensitivity E
Comparison between two, successively Judgement Matricies A=aij> 0, aij=1/aji, i, j=1,2,3, find out the maximum of judgment matrix A
The corresponding feature vector of characteristic value, the element of this feature vector are the correspondence sale temperature H, the ring of light radiancy R and institute
State the weight W of price sensitivity EH、WRAnd WE, then end article value G calculation formula are as follows:
G=WH·H+WR·R+WE·E
Device 200 may also include that standardized module, be used in computing module 205 according to the sale temperature, the ring of light
Before radiancy and the price sensitivity generate the value information of the end article, by the sale temperature, the ring of light
Radiancy and the price sensitivity are standardized, and make it have identical dimension.The principle of standardization is handle
The different data of dimension are processed into the identical data of dimension, are such as data of the value between [0,1] by data all standardizations,
Calculated result can be made more acurrate.
Fig. 3 is shown can be using a kind of information generating method of the embodiment of the present invention or the exemplary system architecture of device
300。
As shown in figure 3, system architecture 300 may include terminal device 301,302,303, network 304 and server 305.
Network 304 between terminal device 301,302,303 and server 305 to provide the medium of communication link.Network 304 can be with
Including various connection types, such as wired, wireless communication link or fiber optic cables etc..
User can be used terminal device 301,302,303 and be interacted by network 304 with server 305, to receive or send out
Send message etc..Various telecommunication customer end applications, such as the application of shopping class, net can be installed on terminal device 301,302,303
The application of page browsing device, searching class application, instant messaging tools, mailbox client, social platform software etc..
Terminal device 301,302,303 can be the various electronic equipments with display screen and supported web page browsing, packet
Include but be not limited to smart phone, tablet computer, pocket computer on knee and desktop computer etc..
Server 305 can be to provide the server of various services, such as utilize terminal device 301,302,303 to user
The shopping class website browsed provides the back-stage management server supported.Back-stage management server can believe the product received
The data such as breath inquiry request carry out the processing such as analyzing, and processing result (such as target push information, product information) is fed back to
Terminal device.
It should be noted that a kind of information generating method provided by the embodiment of the present invention is generally executed by server 305,
Correspondingly, a kind of information generation device is generally positioned in server 305.
It should be understood that the number of terminal device, network and server in Fig. 3 is only schematical.According to realization need
It wants, can have any number of terminal device, network and server.
Fig. 4 show the structural representation for being suitable for the computer system 400 for the terminal device for being used to realize the embodiment of the present invention
Figure.Terminal device shown in Fig. 4 is only an example, should not function to the embodiment of the present invention and use scope bring it is any
Limitation.
As shown in figure 4, computer system 400 includes central processing unit (CPU) 401, it can be read-only according to being stored in
Program in memory (ROM) 402 or be loaded into the program in random access storage device (RAM) 403 from storage section 408 and
Execute various movements appropriate and processing.In RAM 403, also it is stored with system 400 and operates required various programs and data.
CPU 401, ROM 402 and RAM 403 are connected with each other by bus 404.Input/output (I/O) interface 405 is also connected to always
Line 404.
I/O interface 405 is connected to lower component: the importation 406 including keyboard, mouse etc.；It is penetrated including such as cathode
The output par, c 407 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.；Storage section 408 including hard disk etc.；
And the communications portion 409 of the network interface card including LAN card, modem etc..Communications portion 409 via such as because
The network of spy's net executes communication process.Driver 410 is also connected to I/O interface 405 as needed.Detachable media 411, such as
Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 410, in order to read from thereon
Computer program be mounted into storage section 408 as needed.
Particularly, disclosed embodiment, the process of above step figure description may be implemented as computer according to the present invention
Software program.For example, embodiment disclosed by the invention includes a kind of computer program product comprising be carried on computer-readable
Computer program on medium, the computer program include the program code for executing method shown in block diagram.In this way
Embodiment in, which can be downloaded and installed from network by communications portion 409, and/or from detachable
Medium 411 is mounted.When the computer program is executed by central processing unit (CPU) 401, executes and limited in system of the invention
Fixed above-mentioned function.
It should be noted that computer-readable medium shown in the present invention includes computer-readable signal media or computer
Readable storage medium storing program for executing or the two any combination.Computer readable storage medium include but is not limited to electricity, magnetic, light,
Electromagnetism, infrared ray, the system of semiconductor, any combination of device or device or above content.Computer readable storage medium
Be specifically including but not limited to: electrical connection, portable computer diskette with one or more conducting wires, hard disk, random access are deposited
Reservoir (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, Portable, compact
Disk read-only memory (CD-ROM), light storage device, magnetic memory device or above content any combination.In the present invention
In, computer readable storage medium, which includes any, includes or the tangible medium of storage program, which can be commanded and execute system
System, device or device use or in connection；Computer-readable signal media includes in a base band or conduct
The data-signal that carrier wave a part is propagated, wherein carrying computer-readable program code, the data-signal of this propagation can
To take various forms, including but not limited to electromagnetic signal, any combination of optical signal or above-mentioned signal.Computer-readable letter
Number medium can also be any computer-readable medium other than computer readable storage medium, which can be with
It sends, propagate or transmits for by the use of instruction execution system, device or device or program in connection.Meter
The program code for including on calculation machine readable medium can transmit with any suitable medium, including but not limited to: wireless, electric wire,
Any combination of optical cable, RF (radio frequency) etc. or above-mentioned medium.
Step figure or block diagram in attached drawing, illustrate according to the system of various embodiments of the invention, method and computer journey
The architecture, function and operation in the cards of sequence product, each box in block diagram or block diagram can represent a mould
A part of block, program segment or code, a part of above-mentioned module, program segment or code include it is one or more for realizing
The executable instruction of defined logic function.It should be noted that in some implementations as replacements, function marked in the box
It can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated can actually be parallel
Ground executes, and can also execute in the opposite order sometimes, and execution sequence depends on the functions involved.It is also noted that
Each box in block diagram or block diagram with and combinations thereof, can the dedicated of the functions or operations as defined in executing be based on hardware
System realize, or can realize using a combination of dedicated hardware and computer instructions.
Being described in the embodiment of the present invention involved module or unit can be realized by way of software, can also be with
It is realized by way of hardware.Described module or unit also can be set in the processor, for example, can be described as:
A kind of processor includes obtaining module, temperature module, ring of light module, fitting module and computing module.Wherein, these modules or list
The title of member does not constitute the restriction to the module or unit itself under certain conditions, for example, ring of light module can also be retouched
It states as " for determining the end article according to quantity on order of the end article in the first time period and sales volume
The radiometric module of the ring of light ".
On the other hand, the embodiment of the invention also provides a kind of computer-readable medium, which can be with
It is included in equipment described in above-described embodiment；It is also possible to individualism, and without in the supplying equipment.Above-mentioned meter
Calculation machine readable medium carries one or more program, when said one or multiple programs are executed by the equipment,
So that the equipment includes: the linked character information for obtaining end article in first time period, the linked character information includes
Sales volume data, data on flows, quantity on order, sales volume, knock-down price, with reference to knock-down price and stockpile number and sales trend；Root
Average daily sales volume of the end article in second time period and average daily stream are determined according to the sales volume data and the data on flows
Amount, with the sale temperature of the determination end article, the first time period includes the second time period；According to the target
Quantity on order and sales volume of the commodity in the first time period determine the ring of light radiancy of the end article；According to described
Knock-down price of the end article in the first time period and with reference to knock-down price and the stockpile number and pin of the end article
Trend is sold, the price sensitivity of the end article is determined using default fitting demand function；According to the sale temperature, described
Ring of light radiancy and the price sensitivity generate the value information of the end article.
Technical solution according to an embodiment of the present invention is integrated into sale due to the positive correlation of sales volume and flow
One dimension of temperature participates in the determination of commodity value, while also having merged the halo effect and price sensitivity of commodity, more comprehensively；
Commodity have been merged to the halo effect of association product, commodity are the important dimension of commodity value for the halo effect of other commodity,
Some commodity can largely drive the sale of other commodity, and the halo effect for having merged commodity is more objective；It is dug by data
Itself price sensitivity of commodity has been merged in pick, and the Price Sensitive of commodity is different, and the marketing strategy of commodity is different, Improvement
Also different, it will have a direct impact on the overall value of commodity；The weight of three dimensions is calculated using analytic hierarchy process (AHP), weight is more closed
Reason, the final calculation result of commodity value are more accurate.
Above-mentioned specific embodiment, does not constitute a limitation on the scope of protection of the present invention.Those skilled in the art should be bright
It is white, design requirement and other factors are depended on, various modifications, combination, sub-portfolio and substitution can occur.It is any
Made modifications, equivalent substitutions and improvements etc. within the spirit and principles in the present invention, should be included in the scope of the present invention
Within.
Claims (14)
1. a kind of information generating method characterized by comprising
Linked character information of the end article in first time period is obtained, the linked character information includes sales volume data, stream
Measure data, quantity on order, sales volume, knock-down price, with reference to knock-down price and stockpile number and sales trend；
According to the sales volume data and the data on flows determine average daily sales volume of the end article in second time period and
Daily average water discharge, with the sale temperature of the determination end article, the first time period includes the second time period；
The light of the end article is determined according to quantity on order of the end article in the first time period and sales volume
Ring radiancy；
According to knock-down price of the end article in the first time period and with reference to knock-down price and the end article
Stockpile number and sales trend determine the price sensitivity of the end article using default fitting demand function；
The value letter of the end article is generated according to the sale temperature, the ring of light radiancy and the price sensitivity
Breath.
2. the method according to claim 1, wherein according to the sale temperature, the ring of light radiancy and institute
Before stating the value information that price sensitivity generates the end article, the method also includes:
The sale temperature, the ring of light radiancy and the price sensitivity are standardized, made it have identical
Dimension.
3. according to the method described in claim 1, its spy is, according to the sale temperature, the ring of light radiancy and described
The method that price sensitivity generates the value information of the end article includes:
The sale temperature, the ring of light radiancy and the respective weight of the price sensitivity are determined using analytic hierarchy process (AHP),
The target quotient is generated according to the respective weight, the sale temperature, the ring of light radiancy and the price sensitivity
The value information of product.
4. the method according to claim 1, wherein determining the calculation formula of the sale temperature H are as follows:
H=a1Q+a2PV
Wherein a1, a2 are default weight coefficient, and Q is average daily sales volume of the end article in the second time period, and PV is
Daily average water discharge of the end article in the second time period.
5. according to the method described in claim 1, it is characterized in that, determine the calculation formula of the ring of light radiancy R are as follows:
Wherein, n is the quantity on order for including the end article in the first time period, i=1,2,3 ..., n；
GMViIt indicates in this n order, the sales volume of other commodity in i-th of order including the end article.
6. the method according to claim 1, wherein the default fitting demand function are as follows:
Wherein, α is constant, and E is the price sensitivity of the end article, and P is the knock-down price of the end article, PfIt is described
The reference knock-down price of end article, θ are the reference price susceptibility of the end article, γ1For the inventory of the end article
Impact factor, γ2For sales trend impact factor, I is the stockpile number of the end article, and T is the pin of the end article
Sell trend.
7. a kind of information generation device characterized by comprising
Module is obtained, for obtaining linked character information of the end article in first time period, the linked character packet
Include sales volume data, data on flows, quantity on order, sales volume, knock-down price, with reference to knock-down price and stockpile number and sales trend；
Temperature module, for determining day of the end article in second time period according to the sales volume data and the data on flows
Equal sales volume and daily average water discharge, with the sale temperature of the determination end article, the first time period includes second time
Section；
Ring of light module, for according to the end article in the first time period quantity on order and sales volume determine described in
The ring of light radiancy of end article；
Fitting module, for according to knock-down price of the end article in the first time period and referring to knock-down price, and
The stockpile number and sales trend of the end article determine that the price of the end article is quick using default fitting demand function
Sensitivity；
Computing module, for generating the target according to the sale temperature, the ring of light radiancy and the price sensitivity
The value information of commodity.
8. device according to claim 7, which is characterized in that described device further include:
Standardized module, for quick according to the sale temperature, the ring of light radiancy and the price in the computing module
It is before sensitivity generates the value information of the end article, the sale temperature, the ring of light radiancy and the price is quick
Sensitivity is standardized, and makes it have identical dimension.
9. device according to claim 7, which is characterized in that the computing module is also used to: true using analytic hierarchy process (AHP)
The fixed sale temperature, the ring of light radiancy and the respective weight of the price sensitivity, according to the respective weight, institute
State the value information that sale temperature, the ring of light radiancy and the price sensitivity generate the end article.
10. device according to claim 7, which is characterized in that determine the calculation formula of the sale temperature H are as follows:
H=a1Q+a2PV
Wherein a1, a2 are default weight coefficient, and Q is average daily sales volume of the end article in the second time period, and PV is
Daily average water discharge of the end article in the second time period.
11. device according to claim 7, which is characterized in that determine the calculation formula of the ring of light radiancy R are as follows:
Wherein, n is the quantity on order for including the end article in the first time period, i=1,2,3 ..., n；
GMViIt indicates in this n order, the sales volume of other commodity in i-th of order including the end article.
12. device according to claim 7, which is characterized in that the default fitting demand function are as follows:
Wherein, α is constant, and E is the price sensitivity of the end article, and P is the knock-down price of the end article, PfIt is described
The reference knock-down price of end article, θ are the reference price susceptibility of the end article, γ1For the inventory of the end article
Impact factor, γ2For sales trend impact factor, I is the stockpile number of the end article, and T is the pin of the end article
Sell trend.
13. a kind of electronic equipment characterized by comprising
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
Now such as method as claimed in any one of claims 1 to 6.
14. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that described program is by one or more
Such as method as claimed in any one of claims 1 to 6 is realized when a processor executes.
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| CN201810014310.7A CN110020876A (en) | 2018-01-08 | 2018-01-08 | A kind of information generating method and device |
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| CN111415193A (en) * | 2020-01-12 | 2020-07-14 | 杭州览众数据科技有限公司 | Item sales promotion degree calculation method based on store similarity of associated commodities |
| CN111985967A (en) * | 2020-08-17 | 2020-11-24 | 北京每日优鲜电子商务有限公司 | Article information generation method and device, electronic equipment and computer readable medium |
| CN114117193A (en) * | 2020-08-26 | 2022-03-01 | 腾讯科技（深圳）有限公司 | Control method, device, equipment and medium for updating content in content recommendation pool |
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