CN110288375A - A kind of ad material confidence level determines method and device - Google Patents
A kind of ad material confidence level determines method and device Download PDFInfo
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- CN110288375A CN110288375A CN201910433491.1A CN201910433491A CN110288375A CN 110288375 A CN110288375 A CN 110288375A CN 201910433491 A CN201910433491 A CN 201910433491A CN 110288375 A CN110288375 A CN 110288375A
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- 239000000463 material Substances 0.000 title claims abstract description 173
- 238000000034 method Methods 0.000 title claims abstract description 27
- 230000000694 effects Effects 0.000 claims description 25
- 238000003860 storage Methods 0.000 claims description 9
- 238000012512 characterization method Methods 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 4
- 238000005457 optimization Methods 0.000 abstract description 5
- 238000011002 quantification Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 8
- 230000008901 benefit Effects 0.000 description 3
- 238000012098 association analyses Methods 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 230000001364 causal effect Effects 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 239000002453 shampoo Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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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
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Abstract
The present embodiments relate to a kind of ad material confidence levels to determine method, comprising: obtains the reference information of each group ad material；Based on the reference information and preset model, the dispensing clicking rate score value of ad material described in each group is obtained；Each group ad material confidence level is determined based on the clicking rate score value, and the preset model of big data of the embodiment of the present invention carries out precise quantification assessment to the reference information of ad material；Finally determine whether certain material has the value for continuing value and secondary application that advertisement is launched, the optimization and replacement of ad material are carried out according to the confidence level of ad material, greatly improve the efficiency of management of ad material, and it can be substantially reduced material-making cost, reduce the advertisement consuming cost of trial throw stage and optimizing phase.
Description
Technical field
The present embodiments relate to confidence levels to determine field, and in particular to a kind of ad material confidence level determines method.
Background technique
Advertisement at present runs business and still highly relies on optimization teacher individual's industry experience and the input of client's brand experience, to determine
The optimisation strategy of each scene in plan advertisement operation, and material design and replacement are one of the core works that advertisement is launched, one is excellent
Change teacher needs tracking effect data and the magnitude of management material to reach as high as thousands of daily, only sentences by rule of thumb with personal subjectivity
Disconnected, this judgement for just certainly existing every ad material effect is difficult to fine quantization and effect attribution, causes advertising management efficiency
And effect decline, a large amount of material-making costs are wasted, and advertisement trial throw testing cost rises.
Summary of the invention
In order to solve the problems, such as it is of the existing technology at least one, at least one embodiment of the present invention proposes a kind of wide
It accuses material confidence level and determines method.
In a first aspect, the embodiment of the present invention, which provides a kind of ad material confidence level, determines method, comprising:
Obtain the reference information of each group ad material；
Based on the reference information and preset model, the dispensing clicking rate score value of ad material described in each group is obtained；
Each group ad material confidence level is determined based on the clicking rate score value.
In some embodiments, the reference information includes effect data and material attribute, and the effect data includes wide
It accuses material data dimension, ad material consumption, ad material light exposure, ad material click volume and ad material and launches click
Rate.
In some embodiments, the mode of the reference information of acquisition each group ad material includes:
The effect data is obtained by media API；
The material attribute is obtained by user journal or materials database.
In some embodiments, preset model characterization ad material and advertisement position, crowd's orientation, official documents and correspondence combination and
The relationship of clicking rate is launched in syntagmatic and each combination with advertisement.
In some embodiments, it is based on the reference information and preset model, obtains the dispensing of ad material described in each group
Clicking rate score value includes:
Ad material based on the reference information launches the ad material combined information of clicking rate and the preset model
Launch what clicking rate corresponding relationship determined with ad material.
Second aspect, the embodiment of the present invention also propose that a kind of ad material confidence level determining device includes:
Module is obtained, specifically for obtaining the reference information of each group ad material；
Clicking rate score value obtains module, is specifically used for being based on the reference information and preset model, obtains wide described in each group
Accuse the dispensing clicking rate score value of material；
Determining module: specifically for determining each group ad material confidence level based on the clicking rate score value.
In some embodiments, the reference information of above-mentioned apparatus includes effect data and material attribute, wherein described
Effect data: including ad material data dimension, ad material consumption, ad material light exposure, ad material click volume and
Ad material launches clicking rate.
In some embodiments, the acquisition module of above-mentioned apparatus obtains the mode of the reference information of each group ad material
Include:
The effect data is obtained by media API；
The material attribute is obtained by user journal or materials database.
In some embodiments, the preset model characterization ad material of above-mentioned apparatus and advertisement position, crowd's orientation, text
The relationship of clicking rate is launched in the combination of case and syntagmatic and each combination with advertisement.
In some embodiments, above-mentioned apparatus based on the reference information and preset model, obtain advertisement described in each group
The dispensing clicking rate score value of material includes:
Ad material based on the reference information launches the ad material combined information of clicking rate and the preset model
Launch what clicking rate corresponding relationship determined with ad material.
The third aspect, the embodiment of the present invention also propose a kind of electronic equipment, comprising: processor, memory and bus, it is described
Memory is stored with the executable machine readable instructions of the processor, when electronic equipment operation, the processor with it is described
By the bus communication between memory, the machine readable instructions execute above-mentioned ad material when being executed by the processor
Confidence level determines the step of method.
Fourth aspect, the embodiment of the present invention also propose a kind of computer readable storage medium, the computer-readable storage
Computer program is stored on medium, the computer program executes above-mentioned ad material confidence level and determines when being run by processor
The step of method.
This have the advantage that: obtain the reference information of each group ad material；Based on the reference information and
Preset model obtains the dispensing clicking rate score value of ad material described in each group；Each group advertisement is determined based on the clicking rate score value
Material confidence level, by carrying out precise quantification assessment with reference information of the preset model of big data to ad material；It is final to determine
Whether certain fixed material has the value for continuing value and secondary application that advertisement is launched, is carried out according to the confidence level of ad material wide
The optimization and replacement for accusing material, greatly improve the efficiency of management of ad material, and can be substantially reduced material-making cost, reduce
The advertisement consuming cost in trial throw stage and optimizing phase.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be in embodiment or description of the prior art
Required attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is only some realities of the invention
Example is applied, for those of ordinary skill in the art, is also possible to obtain other drawings based on these drawings.
Fig. 1 is the schematic diagram that a kind of ad material confidence level that the embodiment of the present invention proposes determines method；
Fig. 2 is a kind of schematic diagram for ad material confidence level effect data that the embodiment of the present invention proposes；
Fig. 3 is a kind of schematic diagram for ad material confidence level determining device that the embodiment of the present invention proposes；
Fig. 4 is the electronic equipment and storage medium for a kind of ad material confidence level determining device that the embodiment of the present invention proposes
Schematic diagram.
Specific embodiment
To better understand the objects, features and advantages of the present invention, with reference to the accompanying drawings and examples
The present invention is described in further detail.It is understood that described embodiment is a part of the embodiments of the present invention,
Instead of all the embodiments.Specific embodiment described herein is used only for explaining the present invention, rather than to limit of the invention
It is fixed.Based on described the embodiment of the present invention, those of ordinary skill in the art's every other embodiment obtained is belonged to
The scope of protection of the invention.
Fig. 1 is the schematic diagram that a kind of ad material confidence level that the embodiment of the present invention proposes determines method；
In a first aspect, in conjunction with Fig. 1, the embodiment of the present invention provides a kind of ad material confidence level and determines method, including as follows
Step:
101: obtaining the reference information of each group ad material；
102: being based on the reference information and preset model, obtain the dispensing clicking rate score value of ad material described in each group；
103: each group ad material confidence level is determined based on the clicking rate score value.
Ad material refers to the material that can show different advertisements in the present embodiment, described to show that different advertisements includes wide
The target webpage difference etc. that the content showed is different and/or advertiser is different and/or advertisement is directed toward is accused, is not limited specifically here
It is fixed, in practice, such as the brand promotion advertisement that the shampoo advertisement launched of party A-subscriber such as party B-subscriber launch, belong to difference
Ad material, when specific implementation, such as different ad materials can be distinguished according to different users, as according to party A-subscriber
Different ad materials is divided into advertisement, the advertisement of party B-subscriber, ad material that can also be different according to different type classifications,
For example, the ad material for the type that pays per click and the ad material paid by duration, are not specifically limited here.
Specifically, the reference information of ad material is obtained first, it is pre- with the building of big data algorithm before obtaining information
If model, it is exactly to carry in transaction data, relation data or other information that core algorithm, which is association analysis, also known as association mining,
In body, frequent mode, association, correlation or the causal structure being present between project set or object set are searched；By pre-
If model can symbolize each material with factors combined situations such as advertisement position, crowd's orientation, official documents and correspondences, clicking rate is launched with advertisement and is closed
System；Find out with high clicking rate, material combination under three clicking rate, low clicking rate levels, according to the algorithm of preset model
Standard provides every group of material and combines the score value in this simulated target of clicking rate；To confirm confidence level.
Finally determine whether certain material has the value for continuing value and secondary application that advertisement is launched, according to ad material
Confidence level carry out ad material optimization and replacement, greatly improve the efficiency of management of ad material, and element can be substantially reduced
Material cost of manufacture reduces the advertisement consuming cost of trial throw stage and optimizing phase.
Fig. 2 is a kind of schematic diagram for ad material confidence level effect data that the embodiment of the present invention proposes；
In some embodiments, in conjunction with Fig. 2, the reference information includes effect data 200 and material attribute, the effect
Data 200 include ad material data dimension 201, ad material consumption 202, ad material light exposure 203, ad material point
The amount of hitting 204 and ad material launch clicking rate 205.
In some embodiments, the mode of the reference information of step 102 acquisition each group ad material includes:
The effect data is obtained by media API；
The material attribute is obtained by user journal or materials database.
Specifically, media API becomes the commonly used mode of the external exposed interface of IT business ability and assets realization, media
API is to present in the digitlization assets such as following or data, software and usage mode, media API with its high efficiency, efficiently
Energy, flexible quotient obtain the effect data of ad material.
In some embodiments, preset model characterization ad material and advertisement position, crowd's orientation, official documents and correspondence combination and
The relationship of clicking rate is launched in syntagmatic and each combination with advertisement.
It is combined specifically, each ad material can be characterized by preset model with factors such as advertisement position, crowd's orientation, official documents and correspondences
Situation launches clicking rate relationship with advertisement；Find out with high clicking rate, material under three clicking rate, low clicking rate levels
Combination.
In some embodiments, it is based on the reference information and preset model, obtains the dispensing of ad material described in each group
Clicking rate score value includes:
Ad material based on the reference information launches the ad material combined information of clicking rate and the preset model
Launch what clicking rate corresponding relationship determined with ad material.
Fig. 3 is a kind of schematic diagram for ad material confidence level determining device that the embodiment of the present invention proposes.
Second aspect, in conjunction with Fig. 3, the embodiment of the present invention also proposes that a kind of ad material confidence level determining device 300 includes:
Module 301 is obtained, specifically for obtaining the reference information of each group ad material；
Clicking rate score value obtains module 302, is specifically used for being based on the reference information and preset model, obtain described in each group
The dispensing clicking rate score value of ad material；
Determining module 303: specifically for determining each group ad material confidence level based on the clicking rate score value.
Specifically, the reference information of ad material is obtained by obtaining module 301 first, with big before obtaining information
Data algorithm constructs preset model, and it is exactly in transaction data, relationship number that core algorithm, which is association analysis, also known as association mining,
According to or other information carrier in, search be present in frequent mode between project set or object set, association, correlation or because
Fruit structure；Clicking rate score value, which obtains module 302, can symbolize each material with advertisement position, crowd's orientation, text by preset model
The factors combined situation such as case launches clicking rate relationship with advertisement；Find out with high clicking rate, clicking rate, low clicking rate three
Material combination under horizontal provides every group of material combination in this simulated target of clicking rate according to the algorithm standard rules of preset model
Score value；To confirm confidence level according to determining module 303.
In some embodiments, the reference information of above-mentioned apparatus includes effect data 200 and material attribute, the effect
Fruit data 200 include ad material data dimension 201, ad material consumption 202, ad material light exposure 203, ad material
Click volume 204 and ad material launch clicking rate 205.
In some embodiments, the acquisition module of above-mentioned apparatus obtains the mode of the reference information of each group ad material
Include:
The effect data is obtained by media API；
The material attribute is obtained by user journal or materials database.
In some embodiments, the preset model characterization ad material of above-mentioned apparatus and advertisement position, crowd's orientation, text
The relationship of clicking rate is launched in the combination of case and syntagmatic and each combination with advertisement.
In some embodiments, above-mentioned apparatus based on the reference information and preset model, obtain advertisement described in each group
The dispensing clicking rate score value of material includes:
Ad material based on the reference information launches the ad material combined information of clicking rate and the preset model
Launch what clicking rate corresponding relationship determined with ad material.
Fig. 4 is the electronic equipment and storage medium for a kind of ad material confidence level determining device that the embodiment of the present invention proposes
Schematic diagram.
The embodiment of the invention also provides a kind of electronic equipment to specifically include in conjunction with Fig. 4: processor 420, memory 440
With communication bus 430, the memory 440 is stored with the executable machine readable instructions of the processor 420, works as electronic equipment
When 400 operation, communicated between the processor 420 and the memory 440 by the communication bus 430, the machine can
Reading instruction executes the step of above-mentioned ad material confidence level determines method by the processor 420.
Above-mentioned electronic equipment 400, electronic equipment 400 may include the network port 210 for being connected to network, for executing journey
One or more processors 420, communication bus 430 and the various forms of storage mediums 440 of sequence instruction, for example, disk,
ROM or RAM, or any combination thereof.Illustratively, computer platform can also include being stored in ROM, RAM or other types
Non-transitory storage medium, or any combination thereof in program instruction.It may be implemented the application's according to these program instructions
Method.Electronic equipment 400 further includes input between computer and other input-output equipment (such as keyboard, display screen)/defeated
(Input/Output, I/O) interface 450 out.
The embodiment of the invention also provides computer program, the calculating are stored on the computer readable storage medium
Machine program executes the step of above-mentioned ad material confidence level determines method when being run by processor.
In conclusion reference information of the embodiment of the present invention by acquisition each group ad material；Based on the reference information
And preset model, obtain the dispensing clicking rate score value of ad material described in each group；Determine that each group is wide based on the clicking rate score value
Material confidence level is accused, carries out precise quantification assessment with reference information of the preset model of big data to ad material；It is final to determine
Whether certain material has the value for continuing value and secondary application that advertisement is launched, carries out advertisement according to the confidence level of ad material
The optimization and replacement of material greatly improve the efficiency of management of ad material, and can be substantially reduced material-making cost, reduce examination
The advertisement consuming cost in throwing stage and optimizing phase.
For ease of description, a processor is only described in electronic equipment 400.It should be noted, however, that in the application
Electronic equipment 400 can also include multiple processors, therefore a processor described in this application execute the step of can also
It executes or is individually performed to be combined by multiple processors.For example, if the processor of electronic equipment 400 executes step 101 and step
102, then it should be understood that step 101 and step 102 can also be executed jointly by two different processors or be handled at one
It is individually performed in device.For example, first processor executes step 101, second processor executes step 102 or first processor
Step 101 and 102 are executed jointly with second processor.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention
Example can be practiced without these specific details.In some instances, well known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this specification.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of the various inventive aspects,
Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the disclosed method should not be interpreted as reflecting the following intention: i.e. required to protect
Shield the present invention claims features more more than feature expressly recited in each claim.More precisely, as following
Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following specific embodiment are expressly incorporated in the specific embodiment, wherein each claim itself
All as a separate embodiment of the present invention.
Those skilled in the art will understand that can be carried out adaptively to the module in the equipment in embodiment
Change and they are arranged in one or more devices different from this embodiment.It can be the module or list in embodiment
Member or component are combined into a module or unit or component, and furthermore they can be divided into multiple submodule or subelement or
Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it can use any
Combination is to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed
All process or units of what method or apparatus are combined.Unless expressly stated otherwise, this specification is (including adjoint power
Benefit require, abstract and attached drawing) disclosed in each feature can carry out generation with an alternative feature that provides the same, equivalent, or similar purpose
It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention
Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed
Meaning one of can in any combination mode come using.
Claims (10)
1. a kind of ad material confidence level determines method characterized by comprising
Obtain the reference information of each group ad material；
Based on the reference information and preset model, the dispensing clicking rate score value of ad material described in each group is obtained；
Each group ad material confidence level is determined based on the clicking rate score value.
2. confidence level according to claim 1 determines method, which is characterized in that the reference information include effect data and
Material attribute, the effect data include ad material data dimension, ad material consumption, ad material light exposure, advertisement
Material click volume and ad material launch clicking rate.
3. confidence level according to claim 2 determines method, which is characterized in that obtain the reference information of each group ad material
Mode include:
The effect data is obtained by media API；
The material attribute is obtained by user journal or materials database.
4. confidence level according to claim 2 determines method, which is characterized in that preset model characterization ad material with
The relationship of clicking rate is launched in advertisement position, crowd's orientation, the combination of official documents and correspondence and syntagmatic and each combination with advertisement.
5. confidence level according to claim 4 determines method, which is characterized in that be based on the reference information and default mould
Type obtains the dispensing clicking rate score value of ad material described in each group, comprising:
Ad material based on the reference information launches the ad material combined information of clicking rate and the preset model and wide
It accuses material and launches what clicking rate corresponding relationship determined.
6. a kind of ad material confidence level determining device characterized by comprising
Module is obtained, specifically for obtaining the reference information of each group ad material；
Clicking rate score value obtains module, is specifically used for being based on the reference information and preset model, obtains the element of advertisement described in each group
The dispensing clicking rate score value of material；
Determining module: specifically for determining each group ad material confidence level based on the clicking rate score value.
7. confidence level determining device according to claim 6, which is characterized in that the reference information include effect data and
Material attribute, wherein the effect data: including ad material data dimension, ad material consumption, ad material exposure
Amount, ad material click volume and ad material launch clicking rate.
8. confidence level determining device according to claim 6, which is characterized in that the acquisition module obtains each group advertisement element
The mode of the reference information of material includes:
The effect data is obtained by media API；
The material attribute is obtained by user journal or materials database.
9. a kind of electronic equipment characterized by comprising processor, memory and bus, the memory are stored with the place
The executable machine readable instructions of device are managed, when electronic equipment operation, by described between the processor and the memory
Bus communication executes the advertisement as described in any in claim 1 to 5 when the machine readable instructions are executed by the processor
The step of material confidence level determines method.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program executes the ad material confidence level as described in any in claim 1 to 5 when the computer program is run by processor
The step of determining method.
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| CN110706036A (en) * | 2019-10-08 | 2020-01-17 | 上海莉莉丝科技股份有限公司 | Method, apparatus, storage medium and system for evaluating a plurality of new materials for an advertisement |
| CN111539763A (en) * | 2020-04-14 | 2020-08-14 | 支付宝(杭州)信息技术有限公司 | Advertisement putting optimization method and device and electronic equipment |
| CN112598448A (en) * | 2020-12-29 | 2021-04-02 | 恩亿科(北京)数据科技有限公司 | Dynamic material data processing method, system, computer and readable storage medium |
| CN112862516A (en) * | 2021-01-14 | 2021-05-28 | 北京达佳互联信息技术有限公司 | Resource delivery method and device, electronic equipment and storage medium |
| CN112990967A (en) * | 2021-03-09 | 2021-06-18 | 广州筷子信息科技有限公司 | Advertisement creative analysis method and system |
| CN113159579A (en) * | 2021-04-23 | 2021-07-23 | 网易（杭州）网络有限公司 | Material analysis method and device, electronic equipment and storage medium |
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Application publication date: 20190927 |