CN110288395A - Outdoor advertising position Valuation Method, electronic equipment and storage medium - Google Patents
Outdoor advertising position Valuation Method, electronic equipment and storage medium Download PDFInfo
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- CN110288395A CN110288395A CN201910539407.4A CN201910539407A CN110288395A CN 110288395 A CN110288395 A CN 110288395A CN 201910539407 A CN201910539407 A CN 201910539407A CN 110288395 A CN110288395 A CN 110288395A
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- outdoor advertising
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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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0242—Determining effectiveness of advertisements
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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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0273—Determination of fees for advertising
Abstract
The present invention relates to a kind of outdoor advertising position Valuation Method, electronic equipment and computer readable storage mediums.The described method includes: obtaining outdoor advertising position data；The relation factor of multiple data characteristicses and each data characteristics is analyzed from the data of the outdoor advertising position；The scoring of the data characteristics of outdoor advertising position data is determined according to the relation factor of the data characteristics；And the comprehensive score of outdoor advertising position is determined according to the scoring of the data characteristics, and using the comprehensive score of the outdoor advertising position as the value of the outdoor advertising position.The present invention determines the scoring of the data characteristics of outdoor advertising position data by the relation factor of the data characteristics, and the comprehensive score of outdoor advertising position is determined according to the scoring of the data characteristics, and using the comprehensive score of the outdoor advertising position as the value of the outdoor advertising position, the efficiency and accuracy of outdoor advertising position value assessment is improved.
Description
Technical field
The present invention relates to field of information processing, and in particular to a kind of outdoor advertising position Valuation Method, electronic equipment and
Storage medium.
Background technique
Outdoor advertising include business advertisement, public welfare advertisement, door head shop recruit etc., almost cover each city street and
The appearance on its each traffic main artery, normally, outdoor advertising are shown by advertisement position.However, existing outdoor advertising by
Many data collection and analysis majorities are affected in statistics by artificial subjective factor using artificial subjective statistics, and are spent big
Measure human cost.It is moved in addition, the traditional media such as outdoor advertising such as large board, LED screen, community Media, high speed media lack
State, the support of true audience data, can not carry out objective, effective value assessment.
Summary of the invention
In view of the foregoing, it is necessary to propose that a kind of outdoor advertising position Valuation Method, electronic equipment and computer can
Storage medium is read to improve the efficiency and accuracy of outdoor advertising position value assessment.
The first aspect of the application provides a kind of outdoor advertising position Valuation Method, which comprises
Obtain outdoor advertising position data；
The relation factor of multiple data characteristicses and each data characteristics is analyzed from the data of the outdoor advertising position；
The scoring of the data characteristics of outdoor advertising position data is determined according to the relation factor of the data characteristics；And
The comprehensive score of outdoor advertising position is determined according to the scoring of the data characteristics, and by the comprehensive of the outdoor advertising position
Close value of the scoring as the outdoor advertising position.
Preferably, the data characteristics of outdoor advertising position data include advertising environments feature, it is audience value feature, visible
Chance feature, media speciality feature, cost of investment feature.
Preferably, the pass that multiple data characteristicses and each data characteristics are analyzed from the data of the outdoor advertising position
Connection factor includes:
By the locating region of the outdoor advertising position in the data of the outdoor advertising position, locating commercial circle, periphery flow of the people and/or
Advertising environments feature of the periphery crowd's speciality as outdoor advertising position data, and will the locating region, locating commercial circle, week
The relation factor of side flow of the people and/or periphery crowd's speciality as advertising environments feature；
The reading of outdoor advertising position in the data of the outdoor advertising position depending on number of objects, arrival object scale and/or is had
Audience value feature of the object precision as outdoor advertising position data is imitated, and the reading is regarded into number of objects, arrival pair
Relation factor as ratio and/or effective object precision as audience value feature；
Time, reading view will be passed through in the reading video of outdoor advertising position in the data of the outdoor advertising position, effective sighting distance
Visible chance feature mandatory, reading view impression is horizontal and/or periphery media degree of disturbance is as outdoor advertising position data, and
Will the reading video time, in effective sighting distance by the time, read that view is mandatory, horizontal and/or periphery media degree of disturbance of reading view impression
Relation factor as visible chance feature；
By the media categories of the outdoor advertising position in the data of the outdoor advertising position, medium surface number, media exposed area and/
Or media speciality feature of the advertisement carrier as outdoor advertising position data, and by the media categories, medium surface number, media
The relation factor of exposed area and/or advertisement carrier as media speciality feature；And
By the cost per thousand of the outdoor advertising position in the data of the outdoor advertising position, ten thousand yuan of covering crowds and/or every square
Cost of investment feature of the price of rice lattice as outdoor advertising position data, and by the cost per thousand, ten thousand yuan of covering crowds and/or
Relation factor of the every square metre of price as cost of investment feature.
Preferably, the relation factor according to the data characteristics determines the data characteristics of outdoor advertising position data
Scoring include:
It is closed according to the locating region of the advertising environments feature, locating commercial circle, periphery flow of the people and/or periphery crowd's speciality
Connection factor determines the scoring of the advertising environments feature of outdoor advertising position data；
Number of objects is regarded according to the reading of the audience value feature, reaches object scale and/or effective object precision pass
Connection factor determines the scoring of the audience value feature of outdoor advertising position data；
Mandatory, reading view impression is regarded by time, reading according in the reading video of the visible chance feature, effective sighting distance
Horizontal and/or periphery media degree of disturbance relation factor determines the scoring of the visible chance feature of outdoor advertising position data；
It is associated with according to the media categories of the media speciality feature, medium surface number, media exposed area and/or advertisement carrier
Factor determines the scoring of the media speciality feature of outdoor advertising position data；And
According to the cost per thousand of the cost of investment feature, ten thousand yuan of covering crowds and/or every square metre of price relation factor
Determine the scoring of the cost of investment feature of outdoor advertising position data.
Preferably, the scoring according to the data characteristics determines that the comprehensive score of outdoor advertising position includes:
The weight of the data characteristics of outdoor advertising position data is set according to preset condition；And
According to the weight of the scoring of the data characteristics and the data characteristics according to formulaCalculate institute
The comprehensive score of outdoor advertising position is stated, wherein PiFor the weight of i-th of data characteristics, SiFor the score value of i-th of data characteristics, V
For the comprehensive score of the outdoor advertising position.
Preferably, the weight of the data characteristics by outdoor advertising position data carries out setting packet according to preset condition
It includes:
Obtain the rate card information of the outdoor advertising position；And
By the scoring of the data characteristics of outdoor advertising position data and the rate card information input of the outdoor advertising position
Determine that each data of outdoor advertising position data are special into linear regression analysis model or nonlinear regression analysis model
The weight of sign.
Preferably, the weight of the data characteristics by outdoor advertising position data carries out setting packet according to preset condition
It includes:
According to the correspondence setting relationship between the data characteristics of outdoor advertising position data to the data characteristics
Weight is set.
Preferably, the method also includes:
Obtain the data characteristics of history/real-time deal outdoor advertising position and the pricing information of the outdoor advertising position；And
The pricing information of the data characteristics of history/real-time deal outdoor advertising position and the outdoor advertising position is input to
Each data of new outdoor advertising position data are determined in the linear regression analysis model or nonlinear regression analysis model
The weight of feature is updated with the weight of the data characteristics to the outdoor advertising position.
The second aspect of the application provides a kind of electronic equipment, and the electronic equipment includes processor, and the processor is used
Outdoor advertising position Valuation Method is realized when executing the computer program stored in memory.
The third aspect of the application provides a kind of computer readable storage medium, is stored thereon with computer program, described
Outdoor advertising position Valuation Method is realized when computer program is executed by processor.
This case determines the scoring of the data characteristics of outdoor advertising position data according to the relation factor of the data characteristics,
And the comprehensive score of outdoor advertising position is determined according to the scoring of the data characteristics, and by the comprehensive score of the outdoor advertising position
As the value of the outdoor advertising position, the efficiency and accuracy of outdoor advertising position value assessment is improved.
Detailed description of the invention
Fig. 1 is the flow chart of outdoor advertising position Valuation Method in an embodiment of the present invention.
Fig. 2 is the structure chart of value assessment device in outdoor advertising position in an embodiment of the present invention.
Fig. 3 is the schematic diagram of electronic equipment in an embodiment of the present invention.
Specific embodiment
To better understand the objects, features and advantages of the present invention, with reference to the accompanying drawing and specific real
Applying example, the present invention will be described in detail.It should be noted that in the absence of conflict, embodiments herein and embodiment
In feature can be combined with each other.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, described embodiment is only
It is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill
Personnel's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Unless otherwise defined, all technical and scientific terms used herein and belong to technical field of the invention
The normally understood meaning of technical staff is identical.Term as used herein in the specification of the present invention is intended merely to description tool
The purpose of the embodiment of body, it is not intended that in the limitation present invention.
Preferably, outdoor advertising position of the present invention Valuation Method is applied in one or more electronic equipment.It is described
Electronic equipment be it is a kind of can be according to the instruction for being previously set or store, automatic progress numerical value calculating and/or information processing are set
Standby, hardware includes but is not limited to microprocessor, specific integrated circuit (Application Specific Integrated
Circuit, ASIC), programmable gate array (Field-Programmable Gate Array, FPGA), digital processing unit
(Digital Signal Processor, DSP), embedded device etc..
The electronic equipment can be the calculating such as desktop PC, laptop, tablet computer and cloud server
Equipment.The equipment can carry out man-machine friendship by modes such as keyboard, mouse, remote controler, touch tablet or voice-operated devices with user
Mutually.
Embodiment 1
Fig. 1 is the flow chart of advertisement position Valuation Method in an embodiment of the present invention.It is described according to different requirements,
The sequence of step can change in flow chart, and certain steps can be omitted.
As shown in fig.1, the advertisement position Valuation Method specifically includes the following steps:
Step S11 obtains outdoor advertising position data.
In one embodiment, outdoor advertising position data include multiple label informations.The label information includes, but
It is not limited to locating region, locating commercial circle, periphery flow of the people, periphery crowd's speciality, reads depending on number of objects, arrival object scale, have
Imitate object precision, read video time, in effective sighting distance by the time, read that view is mandatory, horizontal, periphery media interference of reading view impression
Degree, media categories, medium surface number, media exposed area, advertisement carrier, cost per thousand, ten thousand yuan of covering crowds, every square metre of prices
Etc. information.
Specifically, the label information of outdoor advertising position data is stored in the server in the form of excel/SQL table.
In present embodiment, it will include that the excel/SQL of outdoor advertising position data is imported into server by user interface, thus
Outdoor advertising position data are stored in the server.In present embodiment, acquisition outdoor advertising position data packet
It includes: obtaining the label information of the data of the advertisement position from the server.
In another embodiment, acquisition outdoor advertising position data include: from internet, third-party platform data
The label letter of outdoor advertising position data is obtained in the history/real-time transaction data in library, each sensor or outdoor advertising position
Breath.
Step S12 analyzes the association of multiple data characteristicses and each data characteristics from the data of the outdoor advertising position
Factor.
In present embodiment, the data characteristics of outdoor advertising position data includes advertising environments feature, audience value spy
Sign, visible chance feature, media speciality feature, cost of investment feature, it is described analyzed from the data of the outdoor advertising position it is more
The relation factor of a data characteristics and each data characteristics includes:
By region locating for the outdoor advertising position in the data of the outdoor advertising position, locating commercial circle, periphery flow of the people and/or week
Advertising environments feature of the side crowd's speciality as outdoor advertising position data, and by locating region, locating commercial circle, the periphery stream of people
The relation factor of amount and/or periphery crowd's speciality as advertising environments feature；
The reading of outdoor advertising position in the data of the outdoor advertising position depending on number of objects, arrival object scale and/or is had
Audience value feature of the object precision as outdoor advertising position data is imitated, and view number of objects will be read, reach object ratio
Example and/or effectively relation factor of the object precision as audience value feature；
Time, reading view will be passed through in the reading video of outdoor advertising position in the data of the outdoor advertising position, effective sighting distance
Visible chance feature mandatory, reading view impression is horizontal and/or periphery media degree of disturbance is as outdoor advertising position data, and
Reading video is passed through into the time in secondary, effective sighting distance, reading regards mandatory, reading view impression level and/or periphery media degree of disturbance conduct
It can be seen that the relation factor of chance feature；
By the media categories of the outdoor advertising position in the data of the outdoor advertising position, medium surface number, media exposed area and/
Or media speciality feature of the advertisement carrier as outdoor advertising position data, and media categories, medium surface number, media are exposed
The relation factor of area and/or advertisement carrier as media speciality feature；And
By the cost per thousand of the outdoor advertising position in the data of the outdoor advertising position, ten thousand yuan of covering crowds and/or every square
Cost of investment feature of the price of rice lattice as outdoor advertising position data, and put down cost per thousand, ten thousand yuan of covering crowds and/or often
Relation factor of the square the price of rice lattice as cost of investment feature.
Step S13 determines the data characteristics of outdoor advertising position data according to the relation factor of the data characteristics
Scoring.
In present embodiment, the relation factor according to the data characteristics determines the number of outdoor advertising position data
Include: according to the scoring of feature
It is closed according to the locating region of the advertising environments feature, locating commercial circle, periphery flow of the people and/or periphery crowd's speciality
Connection factor determines the scoring of the advertising environments feature of outdoor advertising position data；
Number of objects is regarded according to the reading of the audience value feature, reaches object scale and/or effective object precision pass
Connection factor determines the scoring of the audience value feature of outdoor advertising position data；
Mandatory, reading view impression is regarded by time, reading according in the reading video of the visible chance feature, effective sighting distance
Horizontal and/or periphery media degree of disturbance relation factor determines the scoring of the visible chance feature of outdoor advertising position data；
It is associated with according to the media categories of the media speciality feature, medium surface number, media exposed area and/or advertisement carrier
Factor determines the scoring of the media speciality feature of outdoor advertising position data；And
According to the cost per thousand of the cost of investment feature, ten thousand yuan of covering crowds and/or every square metre of price relation factor
Determine the scoring of the cost of investment feature of outdoor advertising position data.
In one embodiment, described according to the determination of the relation factor of the data characteristics of outdoor advertising position data
The scoring of data characteristics comprises determining that outdoor advertising position data in the scoring of each relation factor of the data characteristics；
All relation factors of the data characteristics are calculated in the scoring of each relation factor according to outdoor advertising position data
Total score；And using the total score of all relation factors as the scoring of corresponding data characteristics in the data of the outdoor advertising position.For example,
The relation factor of the advertising environments feature of outdoor advertising position data include locating region, locating commercial circle, periphery flow of the people and/
Or periphery crowd's speciality, the advertising environments are determined according to the relation factor of the advertising environments feature of outdoor advertising position data
The scoring of feature comprise determining that outdoor advertising position data respectively locating region, locating commercial circle, periphery flow of the people and/or
The scoring of periphery crowd's speciality；According to outdoor advertising position data locating region, locating commercial circle, periphery flow of the people and/or
The scoring of periphery crowd's speciality calculates the total score of all relation factors of the advertising environments feature；And by the advertising environments
Scoring of the total score of all relation factors of feature as the advertising environments feature.
In one embodiment, described according to the determination of the relation factor of the data characteristics of outdoor advertising position data
The scoring of data characteristics comprises determining that outdoor advertising position data in the scoring of each relation factor of the data characteristics；
All relation factors of the data characteristics are calculated in the scoring of each relation factor according to outdoor advertising position data
Average mark；And using the average mark of all relation factors as the scoring of corresponding data characteristics in the data of the outdoor advertising position.
Step S14 determines the comprehensive score of outdoor advertising position according to the scoring of the data characteristics, and will be described outdoor wide
Accuse value of the comprehensive score of position as the outdoor advertising position.
In present embodiment, the scoring according to the data characteristics determines that the comprehensive score of outdoor advertising position includes:
The weight of the data characteristics of outdoor advertising position data is set according to preset condition；And
According to the weight of the scoring of the data characteristics and the data characteristics according to formulaCalculate institute
The comprehensive score of outdoor advertising position is stated, wherein PiFor the weight of i-th of data characteristics, SiFor the score value of i-th of data characteristics, V
For the comprehensive score of outdoor advertising position.
In present embodiment, the weight of the data characteristics by outdoor advertising position data is carried out according to preset condition
Setting includes: to obtain the rate card information of outdoor advertising position；And by the scoring of the data characteristics of outdoor advertising position data and
Institute is determined in the rate card information input linear regression analysis model or nonlinear regression analysis model of the outdoor advertising position
State the weight of each data characteristics of outdoor advertising position data.
In present embodiment, the preset condition is that the correspondence between the data characteristics of outdoor advertising position data is set
Determine relationship, it includes: basis that the weight of the data characteristics by outdoor advertising position data, which carries out setting according to preset condition,
Correspondence setting relationship between the data characteristics of outdoor advertising position data sets the weight of the data characteristics.
For example, the preset condition is that " weight of advertising environments feature is twice of the weight of media speciality feature, audience value feature
Weight be three times of weight of media speciality feature, it is seen that the weight of chance feature is equal to the weight of media speciality feature, throws
The weight of money cost feature is three times of the weight of media speciality feature ".When the data characteristics packet of outdoor advertising position data
When feature containing advertising environments, audience value feature, visible chance feature, media speciality feature, cost of investment feature, according to above-mentioned
The weight setting of advertising environments feature can be 0.2, be 0.3 by the weight setting of audience value feature by preset condition, it will be seen that
The weight setting of chance feature is 0.1, is 0.1 by the weight setting of media speciality feature, and by the weight of cost of investment feature
It is set as 0.3.When the data characteristics of outdoor advertising position data includes audience value feature, visible chance feature, media spy
It is 0.375 by the weight setting of audience value feature, it will be seen that the weight of chance feature is set when matter feature, cost of investment feature
Be set to 0.125, by the weight setting of media speciality feature be 0.125, and by the weight setting of cost of investment feature be 0.375,
And by the weight setting of advertising environments feature be 0.
In one embodiment, the comprehensive score that outdoor advertising position is determined according to the scoring of the data characteristics, and
It include: according to outdoor advertising position data using the comprehensive score of the outdoor advertising position as the value of the outdoor advertising position
The total score of all data characteristicses of outdoor advertising position data is calculated in the scoring of each data characteristics；And by all data
Scoring of the total score of feature as corresponding data characteristics in the data of the outdoor advertising position.
In one embodiment, the comprehensive score that outdoor advertising position is determined according to the scoring of the data characteristics, and
It include: according to outdoor advertising position data using the comprehensive score of the outdoor advertising position as the value of the outdoor advertising position
The average mark of all data characteristicses of outdoor advertising position data is calculated in the scoring of each data characteristics；And by all numbers
Scoring according to the average mark of feature as corresponding data characteristics in the data of the outdoor advertising position.
In present embodiment, the method also includes: obtain history/real-time deal outdoor advertising position data characteristics and
The pricing information of outdoor advertising position；And by the data characteristics of history/real-time deal outdoor advertising position and the valence of outdoor advertising position
The each of new outdoor advertising position data is determined in lattice information input linear regression analysis model or nonlinear regression analysis model
The weight of a data characteristics is updated with the weight of the data characteristics to the outdoor advertising position.
In present embodiment, the method also includes: by the data characteristics of the outdoor advertising position and outdoor advertising position
Data conversion is worth into chart data, and the chart data is shown using visual image.
Embodiment 2
Fig. 2 is the structure chart of advertisement position value assessment device 40 in an embodiment of the present invention.
In some embodiments, the advertisement position value assessment device 40 is run in electronic equipment.The advertisement position valence
It may include multiple functional modules as composed by program code segments that value, which assesses device 40,.The advertisement position value assessment device 40
In the program code of each program segment can store in memory, and as performed by least one processor, to execute family
The function of outer advertisement position value assessment.
In the present embodiment, function of the advertisement position value assessment device 40 according to performed by it can be divided into more
A functional module.As shown in fig.2, the advertisement position value assessment device 40 may include obtaining module 401, signature analysis mould
Block 402, the first evaluation module 403, the second evaluation module 404, update module 405 and display module 406.The so-called mould of the present invention
Block refer to it is a kind of performed by least one processor and can complete the series of computation machine program segment of fixed function,
It is stored in memory.It is described in some embodiments, the function about each module will be described in detail in subsequent embodiment.
The acquisition module 401 obtains outdoor advertising position data.
In one embodiment, outdoor advertising position data include multiple label informations.The label information includes, but
It is not limited to locating region, locating commercial circle, periphery flow of the people, periphery crowd's speciality, reads depending on number of objects, arrival object scale, have
Imitate object precision, read video time, in effective sighting distance by the time, read that view is mandatory, horizontal, periphery media interference of reading view impression
Degree, media categories, medium surface number, media exposed area, advertisement carrier, cost per thousand, ten thousand yuan of covering crowds, every square metre of prices
Etc. information.
Specifically, the label information of outdoor advertising position data is stored in the server in the form of excel/SQL table.
It will include that the excel/SQL tables of outdoor advertising position data is imported into server by user interface in present embodiment, from
And outdoor advertising position data are stored in the server.In present embodiment, the acquisition module 401 is from the clothes
The label information of the data of the advertisement position is obtained in business device.
In another embodiment, the acquisition module 401 is from internet, third-party platform database, each sensor
Or the label information of outdoor advertising position data is obtained in history/real-time transaction data of outdoor advertising position.
The characteristics analysis module 402 analyzes multiple data characteristicses and each data from the data of the outdoor advertising position
The relation factor of feature.
In present embodiment, the data characteristics of outdoor advertising position data includes advertising environments feature, audience value spy
Sign, visible chance feature, media speciality feature, cost of investment feature, the characteristics analysis module 402 is from the outdoor advertising position
The relation factor that multiple data characteristicses and each data characteristics are analyzed in data includes:
By region locating for the outdoor advertising position in the data of the outdoor advertising position, locating commercial circle, periphery flow of the people and/or week
Advertising environments feature of the side crowd's speciality as outdoor advertising position data, and by locating region, locating commercial circle, the periphery stream of people
The relation factor of amount and/or periphery crowd's speciality as advertising environments feature；
The reading of outdoor advertising position in the data of the outdoor advertising position depending on number of objects, arrival object scale and/or is had
Audience value feature of the object precision as outdoor advertising position data is imitated, and view number of objects will be read, reach object ratio
Example and/or effectively relation factor of the object precision as audience value feature；
Time, reading view will be passed through in the reading video of outdoor advertising position in the data of the outdoor advertising position, effective sighting distance
Visible chance feature mandatory, reading view impression is horizontal and/or periphery media degree of disturbance is as outdoor advertising position data, and
Reading video is passed through into the time in secondary, effective sighting distance, reading regards mandatory, reading view impression level and/or periphery media degree of disturbance conduct
It can be seen that the relation factor of chance feature；
By the media categories of the outdoor advertising position in the data of the outdoor advertising position, medium surface number, media exposed area and/
Or media speciality feature of the advertisement carrier as outdoor advertising position data, and media categories, medium surface number, media are exposed
The relation factor of area and/or advertisement carrier as media speciality feature；And
By the cost per thousand of the outdoor advertising position in the data of the outdoor advertising position, ten thousand yuan of covering crowds and/or every square
Cost of investment feature of the price of rice lattice as outdoor advertising position data, and put down cost per thousand, ten thousand yuan of covering crowds and/or often
Relation factor of the square the price of rice lattice as cost of investment feature.
First evaluation module 403 determines outdoor advertising position data according to the relation factor of the data characteristics
The scoring of data characteristics.
In present embodiment, first evaluation module 403 determines the family according to the relation factor of the data characteristics
The scoring of the data characteristics of outer advertisement position data includes:
It is closed according to the locating region of the advertising environments feature, locating commercial circle, periphery flow of the people and/or periphery crowd's speciality
Connection factor determines the scoring of the advertising environments feature of outdoor advertising position data；
Number of objects is regarded according to the reading of the audience value feature, reaches object scale and/or effective object precision pass
Connection factor determines the scoring of the audience value feature of outdoor advertising position data；
Mandatory, reading view impression is regarded by time, reading according in the reading video of the visible chance feature, effective sighting distance
Horizontal and/or periphery media degree of disturbance relation factor determines the scoring of the visible chance feature of outdoor advertising position data；
It is associated with according to the media categories of the media speciality feature, medium surface number, media exposed area and/or advertisement carrier
Factor determines the scoring of the media speciality feature of outdoor advertising position data；And
According to the cost per thousand of the cost of investment feature, ten thousand yuan of covering crowds and/or every square metre of price relation factor
Determine the scoring of the cost of investment feature of outdoor advertising position data.
In one embodiment, first evaluation module 403 is according to the data characteristicses of outdoor advertising position data
Relation factor determines that the scoring of the data characteristics comprises determining that outdoor advertising position data in each of the data characteristics
The scoring of relation factor；Scoring according to outdoor advertising position data in each relation factor calculates the data characteristics
The total score of all relation factors；And it is special using the total score of all relation factors as data corresponding in the data of the outdoor advertising position
The scoring of sign.For example, the relation factor of the advertising environments feature of outdoor advertising position data includes locating region, locating quotient
Circle, periphery flow of the people and/or periphery crowd's speciality, according to the relation factor of the advertising environments feature of outdoor advertising position data
Determine the scoring of the advertising environments feature comprise determining that outdoor advertising position data respectively locating region, locating commercial circle,
The scoring of periphery flow of the people and/or periphery crowd's speciality；According to outdoor advertising position data locating region, locating commercial circle,
The scoring of periphery flow of the people and/or periphery crowd's speciality calculates the total score of all relation factors of the advertising environments feature；
And using the total score of all relation factors of the advertising environments feature as the scoring of the advertising environments feature.
In one embodiment, first evaluation module 403 is according to the data characteristicses of outdoor advertising position data
Relation factor determines that the scoring of the data characteristics comprises determining that outdoor advertising position data in each of the data characteristics
The scoring of relation factor；Scoring according to outdoor advertising position data in each relation factor calculates the data characteristics
The average mark of all relation factors；And using the average mark of all relation factors as corresponding number in the data of the outdoor advertising position
According to the scoring of feature.
Second evaluation module 404 determines the comprehensive score of outdoor advertising position according to the scoring of the data characteristics, and
Using the comprehensive score of the outdoor advertising position as the value of the outdoor advertising position.
In present embodiment, second evaluation module 404 determines outdoor advertising position according to the scoring of the data characteristics
Comprehensive score include:
The weight of the data characteristics of outdoor advertising position data is set according to preset condition；And
According to the weight of the scoring of the data characteristics and the data characteristics according to formulaCalculate institute
The comprehensive score of outdoor advertising position is stated, wherein PiFor the weight of i-th of data characteristics, SiFor the score value of i-th of data characteristics, V
For the comprehensive score of outdoor advertising position.
In present embodiment, second evaluation module 404 is by the weight of the data characteristics of outdoor advertising position data
Carrying out setting according to preset condition includes: to obtain the rate card information of outdoor advertising position；And by outdoor advertising position data
The rate card information input linear regression analysis model or nonlinear regression of the scoring of data characteristics and the outdoor advertising position point
The weight of each data characteristics of outdoor advertising position data is determined in analysis model.
In present embodiment, the preset condition is that the correspondence between the data characteristics of outdoor advertising position data is set
Determine relationship, second evaluation module 404 by the weight of the data characteristics of outdoor advertising position data according to preset condition into
Row setting includes: correspondence setting relationship between data characteristics according to outdoor advertising position data to the data characteristics
Weight set.For example, the preset condition is that " weight of advertising environments feature is the two of the weight of media speciality feature
Times, the weight of audience value feature is three times of the weight of media speciality feature, it is seen that it is special that the weight of chance feature is equal to media
The weight of matter feature, the weight of cost of investment feature are three times of the weight of media speciality feature ".When the outdoor advertising digit
According to data characteristics include advertising environments feature, audience value feature, visible chance feature, media speciality feature, cost of investment
It can be 0.2 by the weight setting of advertising environments feature, by the weight of audience value feature according to above-mentioned preset condition when feature
It is set as 0.3, it will be seen that the weight setting of chance feature is 0.1, is 0.1 by the weight setting of media speciality feature, and will be thrown
The weight setting for providing cost feature is 0.3.When the data characteristics of outdoor advertising position data includes audience value feature, visible
It is 0.375 by the weight setting of audience value feature, it will be seen that machine when chance feature, media speciality feature, cost of investment feature
Can the weight setting of feature be 0.125, be 0.125 by the weight setting of media speciality feature, and by the power of cost of investment feature
It resets and is set to 0.375, and by the weight setting of advertising environments feature be 0.
In one embodiment, second evaluation module 404 determines outdoor advertising according to the scoring of the data characteristics
The comprehensive score of position, and include: according to institute using the comprehensive score of the outdoor advertising position as the value of the outdoor advertising position
It states outdoor advertising position data and calculates all data characteristicses of outdoor advertising position data in the scoring of each data characteristics
Total score；And using the total score of all data characteristicses as the scoring of corresponding data characteristics in the data of the outdoor advertising position.
In one embodiment, second evaluation module 404 determines outdoor advertising according to the scoring of the data characteristics
The comprehensive score of position, and include: according to institute using the comprehensive score of the outdoor advertising position as the value of the outdoor advertising position
It states outdoor advertising position data and calculates all data characteristicses of outdoor advertising position data in the scoring of each data characteristics
Average mark；And using the average mark of all data characteristicses as the scoring of corresponding data characteristics in the data of the outdoor advertising position.
In present embodiment, the data that the update module 405 is used to obtain history/real-time deal outdoor advertising position are special
The pricing information of sign and outdoor advertising position；And by the data characteristics of history/real-time deal outdoor advertising position and outdoor advertising position
Pricing information input linear regression analysis model or nonlinear regression analysis model in determine new outdoor advertising position data
The weight of each data characteristics be updated with the weight of the data characteristics to the outdoor advertising position.
In present embodiment, the display module 406 is used for the data characteristics and outdoor advertising of the outdoor advertising position
The value data conversion of position shows the chart data at chart data, and using visual image.
Embodiment 3
Fig. 3 is the schematic diagram of electronic equipment 6 in an embodiment of the present invention.
The electronic equipment 6 includes memory 61, processor 62 and is stored in the memory 61 and can be described
The computer program 63 run on processor 62.The processor 62 is realized above-mentioned outdoor wide when executing the computer program 63
Accuse the step in position Valuation Method embodiment, such as step S11~S14 shown in FIG. 1.Alternatively, the processor 62 is held
The function of each module/unit in above-mentioned outdoor advertising position value assessment Installation practice is realized when the row computer program 63,
Such as the module 401~406 in Fig. 2.
Illustratively, the computer program 63 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 61, and are executed by the processor 62, to complete the present invention.Described one
A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, and described instruction section is used
In implementation procedure of the description computer program 63 in the electronic equipment 6.For example, the computer program 63 can be by
Acquisition module 401, the characteristics analysis module 402, the first evaluation module 403, the second evaluation module 404, update being divided into Fig. 2
Module 405 and display module 406, each module concrete function is referring to embodiment 2.
In present embodiment, it is whole that the electronic equipment 6 can be desktop PC, notebook, palm PC and cloud
End device etc. calculates equipment.It will be understood by those skilled in the art that the schematic diagram is only the example of electronic equipment 6, not
Restriction to electronic equipment 6 is constituted, may include perhaps combining certain components or not than illustrating more or fewer components
Same component, such as the electronic equipment 6 can also include input-output equipment, network access equipment, bus etc..
Alleged processor 62 can be central processing module (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor 62 is also possible to any conventional processing
Device etc., the processor 62 are the control centres of the electronic equipment 6, utilize various interfaces and the entire electronic equipment of connection
6 various pieces.
The memory 61 can be used for storing the computer program 63 and/or module/unit, and the processor 62 passes through
Operation executes the computer program and/or module/unit being stored in the memory 61, and calls and be stored in memory
Data in 61 realize the various functions of the electronic equipment 6.The memory 61 can mainly include storing program area and storage
Data field, wherein storing program area can application program needed for storage program area, at least one function (for example sound plays
Function, image player function etc.) etc.；Storage data area, which can be stored, uses created data (such as sound according to electronic equipment 6
Frequency evidence, phone directory etc.) etc..In addition, memory 61 may include high-speed random access memory, it can also include non-volatile
Memory, such as hard disk, memory, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital
(Secure Digital, SD) card, flash card (Flash Card), at least one disk memory, flush memory device or other
Volatile solid-state part.
If the integrated module/unit of the electronic equipment 6 is realized in the form of software function module and as independent
Product when selling or using, can store in a computer readable storage medium.Based on this understanding, the present invention is real
All or part of the process in existing above-described embodiment method, can also instruct relevant hardware come complete by computer program
At the computer program can be stored in a computer readable storage medium, and the computer program is held by processor
When row, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the computer program includes computer program code, institute
Stating computer program code can be source code form, object identification code form, executable file or certain intermediate forms etc..It is described
Computer-readable medium may include: any entity or device, recording medium, U that can carry the computer program code
Disk, mobile hard disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-Only Memory), arbitrary access
Memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It needs
It is bright, the content that the computer-readable medium includes can according in jurisdiction make laws and patent practice requirement into
Row increase and decrease appropriate, such as do not include electric load according to legislation and patent practice, computer-readable medium in certain jurisdictions
Wave signal and telecommunication signal.
In several embodiments provided by the present invention, it should be understood that disclosed electronic equipment and method, Ke Yitong
Other modes are crossed to realize.For example, electronic equipment embodiment described above is only schematical, for example, the module
Division, only a kind of logical function partition, there may be another division manner in actual implementation.
It, can also be in addition, each functional module in each embodiment of the present invention can integrate in same treatment module
It is that modules physically exist alone, can also be integrated in equal modules with two or more modules.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also realize in the form of hardware adds software function module.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included in the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.This
Outside, it is clear that one word of " comprising " is not excluded for other modules or step, and odd number is not excluded for plural number.It is stated in electronic equipment claim
Multiple modules or electronic equipment can also be implemented through software or hardware by the same module or electronic equipment.The first, the
Second-class word is used to indicate names, and is not indicated any particular order.
Finally it should be noted that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although reference
Preferred embodiment describes the invention in detail, those skilled in the art should understand that, it can be to of the invention
Technical solution is modified or equivalent replacement, without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. a kind of outdoor advertising position Valuation Method, which is characterized in that the described method includes:
Obtain outdoor advertising position data；
The relation factor of multiple data characteristicses and each data characteristics is analyzed from the data of the outdoor advertising position；
The scoring of the data characteristics of outdoor advertising position data is determined according to the relation factor of the data characteristics；And
The comprehensive score of outdoor advertising position is determined according to the scoring of the data characteristics, and the synthesis of the outdoor advertising position is commented
It is allocated as the value of the outdoor advertising position.
2. outdoor advertising position as described in claim 1 Valuation Method, which is characterized in that outdoor advertising position data
Data characteristics includes advertising environments feature, audience value feature, visible chance feature, media speciality feature, cost of investment feature.
3. outdoor advertising position as claimed in claim 2 Valuation Method, which is characterized in that described from the outdoor advertising position
The relation factor that multiple data characteristicses and each data characteristics are analyzed in data includes:
By the locating region of the outdoor advertising position in the data of the outdoor advertising position, locating commercial circle, periphery flow of the people and/or periphery
Advertising environments feature of crowd's speciality as outdoor advertising position data, and will locating region, locating commercial circle, the people from periphery
The relation factor of flow and/or periphery crowd's speciality as advertising environments feature；
By the reading of the outdoor advertising position in the data of outdoor advertising position view number of objects, reach object scale and/or effectively right
Audience value feature as precision as outdoor advertising position data, and the reading is regarded into number of objects, arrival object ratio
Example and/or effectively relation factor of the object precision as audience value feature；
It will be forced in the reading video of outdoor advertising position in the data of the outdoor advertising position, effective sighting distance by time, reading view
Property, read the visible chance feature that view impression is horizontal and/or periphery media degree of disturbance is as outdoor advertising position data, and by institute
State read video time, in effective sighting distance by the time, read that view is mandatory, horizontal and/or periphery media degree of disturbance conduct of reading view impression
It can be seen that the relation factor of chance feature；
By the media categories of the outdoor advertising position in the data of the outdoor advertising position, medium surface number, media exposed area and/or wide
Media speciality feature of the carrier as outdoor advertising position data is accused, and the media categories, medium surface number, media are exposed
The relation factor of area and/or advertisement carrier as media speciality feature；And
By the cost per thousand of the outdoor advertising position in the data of the outdoor advertising position, ten thousand yuan of covering crowds and/or every square of the price of rice
Cost of investment feature of the lattice as outdoor advertising position data, and put down the cost per thousand, ten thousand yuan of covering crowds and/or often
Relation factor of the square the price of rice lattice as cost of investment feature.
4. outdoor advertising position as claimed in claim 3 Valuation Method, which is characterized in that described according to the data characteristics
Relation factor determine that the scoring of the data characteristics of outdoor advertising position data includes:
According to the locating region of the advertising environments feature, locating commercial circle, periphery flow of the people and/or periphery crowd's speciality association because
Element determines the scoring of the advertising environments feature of outdoor advertising position data；
According to the reading of the audience value feature regard number of objects, reach object scale and/or effective object precision association because
Element determines the scoring of the audience value feature of outdoor advertising position data；
According to being regarded in the reading video of the visible chance feature, effective sighting distance by time, reading, mandatory, reading view impression is horizontal
And/or periphery media degree of disturbance relation factor determines the scoring of the visible chance feature of outdoor advertising position data；
According to the media categories of the media speciality feature, medium surface number, media exposed area and/or advertisement carrier relation factor
Determine the scoring of the media speciality feature of outdoor advertising position data；And
It is determined according to the cost per thousand of the cost of investment feature, ten thousand yuan of covering crowds and/or every square metre of price relation factor
The scoring of the cost of investment feature of outdoor advertising position data.
5. outdoor advertising position as claimed in claim 2 Valuation Method, which is characterized in that described according to the data characteristics
Scoring determine outdoor advertising position comprehensive score include:
The weight of the data characteristics of outdoor advertising position data is set according to preset condition；And
According to the weight of the scoring of the data characteristics and the data characteristics according to formulaCalculate the family
The comprehensive score of outer advertisement position, wherein PiFor the weight of i-th of data characteristics, SiFor the score value of i-th of data characteristics, V is institute
State the comprehensive score of outdoor advertising position.
6. outdoor advertising position as claimed in claim 5 Valuation Method, which is characterized in that described by the outdoor advertising position
The weight of the data characteristics of data carries out setting according to preset condition
Obtain the rate card information of the outdoor advertising position；And
By the rate card information input of the scoring of the data characteristics of outdoor advertising position data and the outdoor advertising position to line
Each data characteristics of outdoor advertising position data is determined in property regression analysis model or nonlinear regression analysis model
Weight.
7. outdoor advertising position as claimed in claim 5 Valuation Method, which is characterized in that described by the outdoor advertising position
The weight of the data characteristics of data carries out setting according to preset condition
According to the correspondence setting relationship between the data characteristics of outdoor advertising position data to the weight of the data characteristics
It is set.
8. outdoor advertising position as claimed in claim 6 Valuation Method, which is characterized in that the method also includes:
Obtain the data characteristics of history/real-time deal outdoor advertising position and the pricing information of the outdoor advertising position；And
The pricing information of the data characteristics of history/real-time deal outdoor advertising position and the outdoor advertising position is input to described
Each data characteristics of new outdoor advertising position data is determined in linear regression analysis model or nonlinear regression analysis model
Weight be updated with the weight of the data characteristics to the outdoor advertising position.
9. a kind of electronic equipment, it is characterised in that: the electronic equipment includes processor, and the processor is for executing memory
The outdoor advertising position Valuation Method as described in any one of claim 1-8 is realized when the computer program of middle storage.
10. a kind of computer readable storage medium, is stored thereon with computer program, it is characterised in that: the computer program
The outdoor advertising position Valuation Method as described in any one of claim 1-8 is realized when being executed by processor.
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| CN201910539407.4A CN110288395A (en) | 2019-06-20 | 2019-06-20 | Outdoor advertising position Valuation Method, electronic equipment and storage medium |
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| CN201910539407.4A CN110288395A (en) | 2019-06-20 | 2019-06-20 | Outdoor advertising position Valuation Method, electronic equipment and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113296861A (en) * | 2021-05-19 | 2021-08-24 | 支付宝(杭州)信息技术有限公司 | Method and device for determining information display effect |
| CN113674024A (en) * | 2021-08-20 | 2021-11-19 | 深圳电目科技有限公司 | Advertisement screen delivery value pushing method and device and advertisement screen |
| CN113723996A (en) * | 2021-08-23 | 2021-11-30 | 广州市城市规划勘测设计研究院 | Outdoor advertisement accurate planning method, device, equipment and storage medium |
| CN116051190A (en) * | 2023-01-13 | 2023-05-02 | 深圳市易售科技有限公司 | Method for converting advertisement putting equipment into commodity, computer equipment and medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140316893A1 (en) * | 2003-09-03 | 2014-10-23 | Google Inc. | Location-specific advertising |
| CN106372775A (en) * | 2016-08-19 | 2017-02-01 | 国网冀北电力有限公司电力科学研究院 | Assessment method and system of comprehensive value of power grid client |
| CN106485529A (en) * | 2015-09-02 | 2017-03-08 | 北京国双科技有限公司 | The sort method of advertisement position and device |
| CN109003141A (en) * | 2018-07-30 | 2018-12-14 | 杨超 | A kind of outdoor media dispensing Valuation Method |
-
2019
- 2019-06-20 CN CN201910539407.4A patent/CN110288395A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140316893A1 (en) * | 2003-09-03 | 2014-10-23 | Google Inc. | Location-specific advertising |
| CN106485529A (en) * | 2015-09-02 | 2017-03-08 | 北京国双科技有限公司 | The sort method of advertisement position and device |
| CN106372775A (en) * | 2016-08-19 | 2017-02-01 | 国网冀北电力有限公司电力科学研究院 | Assessment method and system of comprehensive value of power grid client |
| CN109003141A (en) * | 2018-07-30 | 2018-12-14 | 杨超 | A kind of outdoor media dispensing Valuation Method |
Non-Patent Citations (3)
| Title |
|---|
| 朱军、周雪卉: "户外广告效果评估的研究综述", 《广告大观（理论版）》 * |
| 莫梅锋主编: "《广告投放》", 30 June 2017, 华中科技大学出版社 * |
| 魏霖静: "《基于MATLAB的试验设计和数据处理》", 30 April 2017, 中国铁道出版社 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113296861A (en) * | 2021-05-19 | 2021-08-24 | 支付宝(杭州)信息技术有限公司 | Method and device for determining information display effect |
| CN113296861B (en) * | 2021-05-19 | 2022-09-16 | 支付宝(杭州)信息技术有限公司 | Method and device for determining information display effect |
| CN113674024A (en) * | 2021-08-20 | 2021-11-19 | 深圳电目科技有限公司 | Advertisement screen delivery value pushing method and device and advertisement screen |
| CN113723996A (en) * | 2021-08-23 | 2021-11-30 | 广州市城市规划勘测设计研究院 | Outdoor advertisement accurate planning method, device, equipment and storage medium |
| CN116051190A (en) * | 2023-01-13 | 2023-05-02 | 深圳市易售科技有限公司 | Method for converting advertisement putting equipment into commodity, computer equipment and medium |
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Application publication date: 20190927 |