CN108629627A - A kind of automatic dispensing control method of moving advertising - Google Patents

A kind of automatic dispensing control method of moving advertising Download PDF

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Publication number
CN108629627A
CN108629627A CN201810429774.4A CN201810429774A CN108629627A CN 108629627 A CN108629627 A CN 108629627A CN 201810429774 A CN201810429774 A CN 201810429774A CN 108629627 A CN108629627 A CN 108629627A
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CN
China
Prior art keywords
data
advertisement
prioritization scheme
module
moving advertising
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810429774.4A
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Chinese (zh)
Inventor
罗力
江浩
李昂
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Panco Technology Co Ltd (chinese) Rui
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Panco Technology Co Ltd (chinese) Rui
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Priority to CN201810429774.4A priority Critical patent/CN108629627A/en
Publication of CN108629627A publication Critical patent/CN108629627A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0242Determining effectiveness of advertisements
    • G06Q30/0244Optimization
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0273Determination of fees for advertising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0273Determination of fees for advertising
    • G06Q30/0275Auctions

Abstract

The invention belongs to the technical fields that moving advertising is launched, and in particular to a kind of automatic dispensing control method of moving advertising;The technical issues of solution is:There is provided a kind of the degree of automation it is higher, launch the higher moving advertising of efficiency automatic dispensing control method;The technical solution used for:A kind of automatic dispensing control method of moving advertising, including:S10, the advertisement for obtaining multiple platforms are launched data and are stored;S20, sub-module load configuration data;S30 obtains current dispensing ad data;S40, the history for calculating same type advertisement launch data, obtain prioritization scheme;S50 executes prioritization scheme.

Description

A kind of automatic dispensing control method of moving advertising
Technical field
The invention belongs to the technical fields that moving advertising is launched, and in particular to a kind of automatic dispensing controlling party of moving advertising Method.
Background technology
With the continuous development of mobile Internet, moving advertising is increasingly becoming the advertisement form of mainstream;Moving advertising is logical It crosses mobile device and accesses the advertisement shown when mobile application or mobile webpage.
The putting person of moving advertising would generally use foundation, dispensing and the management of the progress advertisement of advertisement delivery tool, still At present due to being that control is launched in artificial progress advertisement, there are the odjective causes such as the time difference, network and human operational error, strategy to judge The problems such as error, causes advertisement to fail to reach good dispensing effect.
It is wide to solve accurately carry out how therefore, it is necessary to introduce the technical solution of automation and sequencing The problem of accusing control and launching decision.
Invention content
The present invention overcomes the shortcomings of the prior art, technical problem to be solved to be:A kind of the degree of automation is provided Automatic dispensing control method that is higher, launching the higher moving advertising of efficiency.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention is:
A kind of automatic dispensing control method of moving advertising, including:S10, the advertisement for obtaining multiple platforms launch data simultaneously Storage;S20, sub-module load configuration data;S30 obtains current dispensing ad data;S40 calculates the history of same type advertisement Data are launched, prioritization scheme is obtained;S50 executes prioritization scheme.
Preferably, the history impression information for calculating same type advertisement, including:It filters out and currently launches ad data Data are launched in similar history advertisement;Calculating benchmark data behavior;Feature Selection is carried out to historical data variable;It is calculated by mapping Method and screening model obtain auxiliary prioritization scheme.
Preferably, the analysis obtains in prioritization scheme:The prioritization scheme includes:The parameter of bidding of regulation and control advertisement, Magnitude parameter, budget parameters, waiting parameter and audience.
Correspondingly, the automatic putting control system of a kind of moving advertising, including:Acquisition module, for obtaining multiple platforms Advertisement launch and data and store;Load-on module loads configuration data for sub-module;Acquisition module, for obtaining current throwing Put ad data;Computing module, the history for calculating same type advertisement launch data, obtain prioritization scheme;Execution module is used In execution prioritization scheme.
Preferably, the computing module includes:Preliminary screening module, it is similar to ad data is currently launched for filtering out History advertisement launch data;Benchmark behavior computing module is used for calculating benchmark data behavior;Feature Selection module, for pair Historical data variable carries out Feature Selection;Prioritization scheme computing module, for by mapping algorithm and screening model, being optimized Scheme.
Preferably, in the analysis module:The prioritization scheme includes:The parameter of bidding of regulation and control advertisement, magnitude parameter, Budget parameters, waiting parameter and audience.
The present invention has the advantages that compared with prior art:
A kind of automatic dispensing control method of moving advertising of the present invention, realizes the key link in advertisement release process The automation control management of (such as advertisement start and stop, advertisement intelligent bid, dynamic control advertising budget) and optimization, solve due to when Difference, network, artificial adjustment error etc. control error caused by reasons, make the dispensing of moving advertising and management from pure manual control to The transition of automation greatly improves the efficiency of advertising management.
Description of the drawings
The present invention will be further described in detail below in conjunction with the accompanying drawings;
Fig. 1 is a kind of automatic flow diagram for launching control method for moving advertising that the embodiment of the present invention one provides;
Fig. 2 is a kind of structural schematic diagram of the automatic putting control system for moving advertising that the embodiment of the present invention one provides;
Fig. 3 is a kind of structural schematic diagram of the automatic putting control system of moving advertising provided by Embodiment 2 of the present invention;
In figure:10 be acquisition module, and 20 be load-on module, and 30 be acquisition module, and 40 be computing module, and 50 be analysis mould Block, 60 be execution module;
401 be preliminary screening module, behavior computing module on the basis of 402, and 403 are characterized screening module, and 404 be optimization side Case computing module.
Specific implementation mode
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is A part of the embodiment of the present invention, instead of all the embodiments;Based on the embodiments of the present invention, ordinary skill people The every other embodiment that member is obtained without creative efforts, shall fall within the protection scope of the present invention.
Fig. 1 is a kind of automatic flow diagram for launching control method for moving advertising that the embodiment of the present invention one provides; As shown in Figure 1, a kind of automatic dispensing control method of moving advertising, including:Data are launched in S10, the advertisement for obtaining multiple platforms And it stores;S20, sub-module load configuration data;S30 obtains current dispensing ad data;S40 calculates going through for same type advertisement History launches data;S50 is analyzed and is obtained prioritization scheme;S60 executes prioritization scheme;In the present invention, added by different modules Different configuration datas is carried, the history that can be used for calculating same type advertisement launches data.
Specifically, the history impression information for calculating same type advertisement, including:It filters out and currently launches ad data Data are launched in similar history advertisement;Calculating benchmark data behavior;Feature Selection is carried out to historical data variable;It is calculated by mapping Method and screening model obtain auxiliary prioritization scheme;In the present embodiment, described filtering out is similar with ad data is currently launched Data are launched in history advertisement, can be screened by collaborative filtering module;In the present embodiment, the collaborative filtering module can For:
The current similarity launched between ad data and history advertisement dispensing data is calculated with cosine similarity formula, is led to Cosine similarity is crossed to be screened:Its cosine calculating formula of similarity is:If N (u) is the current set for launching ad data, N (v) set of data is launched for history advertisement;It preselects similarity formula:
It is described by mapping algorithm and screening model, obtain in auxiliary prioritization scheme, the screening model can be linear Recurrence, Stochastic Decision-making forest, deep-neural-network, own coding machine are composed.
Wherein:It is returned using Stochastic Decision-making forest, which is calculated the prediction optimal solution for launching parameter, Its detailed process is as follows
1, as follows using the modeling process of random forest:
(1) random forest is made of more decision trees;If the quantity of the decision tree used is t, each node makes The feature quantity used is f;If given test data set is combined into S, intrinsic dimensionality F;End condition is:Minimum sample on node Number;The 1-t is set, i=1-t:
(2) from there is data set S (i) of the extraction size put back to as S in S, as the sample of root node, from root node Start to train;
(3) if reaching end condition on present node, it is leaf node that present node, which is arranged, and prediction output is current The average value of each sample value of node sample set then proceedes to train other nodes;If present node does not reach termination item Part then randomly selects f dimensional features from F dimensional features without what is put back to;Using this f dimensional feature, best one-dimensional of classifying quality is found Feature k and its threshold value th, sample of the sample kth dimensional feature less than th is divided into left sibling on present node, remaining is drawn Assign to right node;Continue to train other nodes.
(4) (2) (3) are repeated until leaf node is all trained or be marked as to all nodes;
(5) (2) are repeated, (3), (4) were all trained to until all decision trees.
2, as follows using the prediction process of random forest:
The 1-t is set, i=1-t:
(1) since the root node of present tree, according to the threshold value th of present node, judgement be enter left sibling (<Th) also Be enter right node (>=th), until reaching, some leaf node, and export predicted value.
(2) (1) is repeated until all t trees all output predicted value, for regression model, predicted value, that is, all trees Output average value.
(3) using formula argmax (Var-VarLeft-VarRight) prosthomere is worked as to the judgment criteria of prediction result The variance Var of point training set subtracts the variance VarLeft of left child node and the variance VarRight value maximums of right child node.
Before data are calculated by regression model, needs to carry out Feature Conversion to the data of input, i.e., first compile data Code is another form, then carries out a series of operations on this basis.It finally needs to utilize self-editing ink recorder, by the number after coding Initial data is reverted to according to by decoding, and can preferably retain the main feature of initial data.Self-editing ink recorder is by three layers Neural network forms,
(1) original input signal is set as x, and s is nonlinear function, and W is weight matrix, and b is deviation value;X passes through first layer Input layer reaches second layer middle layer, and signal becomes y;Wherein:Y=s (Wx+b);
(2) y reaches second layer middle layer by first layer input layer, and signal becomes z.W ' is the transposition of W:W '=WT;Its In:Z=s (W ' y+b ');
(3) adjust s parameter, make the z and the signal x being originally inputted of final output as possible approach.Utilize square error Formula calculates error amount:L (xz)=| | x-z | |2
Further, described to analyze and obtain in prioritization scheme, it can be by assisting process control more and being based on state machine pattern Module carry out analysis calculating.
When launching the rule control of data setting automation to advertisement, there are the same times to have multiple rules to be performed simultaneously The case where.We realize the parallel processing of multiple processor active tasks of same time using more association's process controls.Multiple conditions are controlled The case where same advertisement is launched, it is possible that a variety of operation intermediate state.So system designs adoption status machine pattern, can It reduces system structure caused by the increase due to state and changes cost, i.e., when receiving new input value every time, it is only necessary to hand over It goes to handle to current state, chain processing is carried out without a series of states before dependence.
Further, the analysis obtains in prioritization scheme;The prioritization scheme includes:The ginseng of bidding of regulation and control advertisement Number, magnitude parameter, budget parameters, waiting parameter and audience.
A kind of automatic dispensing control method of moving advertising of the present invention, realizes the key link in advertisement release process The automation control management of (such as advertisement start and stop, advertisement intelligent bid, dynamic control advertising budget) and optimization, solve due to when Difference, network, artificial adjustment error etc. control error caused by reasons, make the dispensing of moving advertising and management from pure manual control to The transition of automation greatly improves the efficiency of advertising management.
The automatic trustship advertisement start and stop of system and adjustment budget are realized through the invention, are saved advertiser and are put into effect management 90% or more time, advertising input output ratio are up to 50% (generally 30%), improve advertisement dispensing whole efficiency and reach 85%.
Fig. 2 is a kind of structural schematic diagram of the automatic putting control system for moving advertising that the embodiment of the present invention one provides, As shown in Fig. 2, a kind of automatic putting control system of moving advertising, including:Acquisition module 10, for obtaining the wide of multiple platforms It accuses and launches data and store;Load-on module 20 loads configuration data for sub-module;Acquisition module 30, for obtaining current throwing Put ad data;Computing module 40, the history for calculating same type advertisement launch data;Analysis module 50, for analyzing simultaneously Obtain prioritization scheme;Execution module 60, for executing prioritization scheme.
Fig. 3 is a kind of structural schematic diagram of the automatic putting control system of moving advertising provided by Embodiment 2 of the present invention, As shown in figure 3, on the basis of embodiment one, the computing module 40 includes:Preliminary screening module 401, for filter out with It is current to launch the similar history advertisement dispensing data of ad data;Benchmark behavior computing module 402 is used for calculating benchmark data line For;Feature Selection module 403, for carrying out Feature Selection to historical data variable;Prioritization scheme computing module 404, for leading to Mapping algorithm and screening model are crossed, auxiliary prioritization scheme is obtained.
Specifically, in the analysis module 50:The prioritization scheme includes:Parameter of bidding, the magnitude ginseng of regulation and control advertisement Number, budget parameters, waiting parameter and audience.
The present invention, can be (logical to the particular advertisement stereotactic conditions of different advertisement types according to the account of the history for launching advertisement Cross calculating benchmark data behavior acquisition) result estimate is made, to recommend optimal advertisement dropping apparatus, while the system meeting The impression information and effect data for extracting advertisement, realize the comprehensive descision decision of a variety of policy conditions.
When the effect of some advertisement reaches the specified specified conditions of configuration, the setting that will be set out under conditions present is grasped Make, such as increase and launch budget, increase advertisement bid, pause advertisement etc. passes through continuous adjusting and optimizing scheme (tactful condition threshold Value), verify the correctness of advertising strategy so that system configuration can be selected with the dispensing of The Gift of Being the Best You Can Be, realize that advertisement is launched complete Whole Process.
Finally it should be noted that:The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations;To the greatest extent Present invention has been described in detail with reference to the aforementioned embodiments for pipe, it will be understood by those of ordinary skill in the art that:Its according to So can with technical scheme described in the above embodiments is modified, either to which part or all technical features into Row equivalent replacement;And these modifications or replacements, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution The range of scheme.

Claims (6)

1. a kind of automatic dispensing control method of moving advertising, it is characterised in that:Including:
S10, the advertisement for obtaining multiple platforms are launched data and are stored;
S20, sub-module load configuration data;
S30 obtains current dispensing ad data;
S40, the history for calculating same type advertisement launch data, obtain prioritization scheme;
S50 executes prioritization scheme.
2. a kind of automatic dispensing control method of moving advertising according to claim 1, it is characterised in that:It is described to calculate together The history impression information of type advertisements, including:
It filters out history advertisement similar with ad data is currently launched and launches data;
Calculating benchmark data behavior;
Feature Selection is carried out to historical data variable;
By mapping algorithm and screening model, auxiliary prioritization scheme is obtained.
3. a kind of automatic dispensing control method of moving advertising according to claim 1, it is characterised in that:It is described to analyze Into prioritization scheme;
The prioritization scheme includes:Parameter of bidding, magnitude parameter, budget parameters, waiting parameter and the audient group of regulation and control advertisement Body.
4. a kind of automatic putting control system of moving advertising, it is characterised in that:Including:
Acquisition module (10), the advertisement for obtaining multiple platforms are launched data and are stored;
Load-on module (20) loads configuration data for sub-module;
Acquisition module (30), for obtaining current dispensing ad data;
Computing module (40), the history for calculating same type advertisement launch data, obtain prioritization scheme;
Execution module (50), for executing prioritization scheme.
5. a kind of automatic putting control system of moving advertising according to claim 4, it is characterised in that:The calculating mould Block (40) includes:
Preliminary screening module (401) launches data for filtering out history advertisement similar with ad data is currently launched;
Benchmark behavior computing module (402) is used for calculating benchmark data behavior;
Feature Selection module (403), for carrying out Feature Selection to historical data variable;
Prioritization scheme computing module (404), for by mapping algorithm and screening model, obtaining prioritization scheme.
6. a kind of automatic putting control system of moving advertising according to claim 4, it is characterised in that:The analysis mould In block (50):
The prioritization scheme includes:Parameter of bidding, magnitude parameter, budget parameters, waiting parameter and the audient group of regulation and control advertisement Body.
CN201810429774.4A 2018-05-08 2018-05-08 A kind of automatic dispensing control method of moving advertising Pending CN108629627A (en)

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Cited By (4)

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Publication number Priority date Publication date Assignee Title
CN109636488A (en) * 2019-01-17 2019-04-16 珠海天燕科技有限公司 Advertisement placement method and device
CN111178960A (en) * 2019-12-26 2020-05-19 浙江致梦大数据有限公司 Advertisement resource integration platform
CN112396471A (en) * 2020-12-10 2021-02-23 杭州次元岛科技有限公司 Advertisement putting optimization method and device based on big data
CN112749997A (en) * 2018-10-11 2021-05-04 广东聚宝屋传媒有限公司 Express package-based advertisement delivery management method and device

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CN112749997A (en) * 2018-10-11 2021-05-04 广东聚宝屋传媒有限公司 Express package-based advertisement delivery management method and device
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