CN117764647B - Automatic advertisement management method, system, equipment and storage medium - Google Patents
Automatic advertisement management method, system, equipment and storage medium Download PDFInfo
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Abstract
The application relates to the technical field of advertisement management and provides an automatic advertisement management method, an automatic advertisement management system, automatic advertisement management equipment and a storage medium, wherein the method comprises the steps of obtaining historical advertisement management data issued by an advertisement data management center and constructing an advertisement putting topological graph set based on the historical advertisement management data; the advertisement putting topological graph set comprises a plurality of advertisement putting topological graphs, and each advertisement putting topological graph corresponds to one type of product; acquiring a plurality of advertisements to be put in an advertisement putting center, and respectively matching target advertisement putting topological graphs for the advertisements to be put in an advertisement putting topological graph set; aiming at each advertisement to be placed, generating a placement tag sequence of the advertisement to be placed based on a target advertisement placement topological graph of the advertisement to be placed; fusing each release tag sequence to obtain a target release tag sequence; and delivering a plurality of advertisements to be delivered based on the target delivery tag sequence. The method can improve the advertising effect.
Description
Technical Field
The present application relates to the field of advertisement management technologies, and in particular, to an advertisement automation management method, system, device, and storage medium.
Background
With the development of internet technology, more and more merchants market own products in a mode of advertising to terminal equipment through the internet, which brings great challenges to management of advertisements, and the conventional advertising management method generally puts a plurality of advertisements to be put simultaneously when the advertisement putting center has a plurality of advertisements to be put, and the advertising effect is influenced by the advertising method, so that the conversion rate of the advertisements is reduced.
Disclosure of Invention
The application provides an advertisement automation management method, an advertisement automation management system, advertisement automation management equipment and a storage medium, so as to solve the problems of the background technology.
In a first aspect, the present application provides an advertisement automation management method, including:
Acquiring historical advertisement management data issued by an advertisement data management center, and constructing an advertisement putting topological graph set based on the historical advertisement management data; the advertisement delivery topological graph set comprises a plurality of advertisement delivery topological graphs, and each advertisement delivery topological graph corresponds to one type of product;
Acquiring a plurality of advertisements to be put in an advertisement putting center, and respectively matching target advertisement putting topological graphs for the advertisements to be put in the advertisement putting topological graph set;
Aiming at each advertisement to be placed, generating a placement tag sequence of the advertisement to be placed based on the target advertisement placement topological graph of the advertisement to be placed;
fusing the release tag sequences to obtain a target release tag sequence;
and delivering the advertisements to be delivered based on the target delivery tag sequence.
In one possible implementation manner, the constructing an advertisement placement topology graph set based on the historical advertisement management data includes:
Inputting the historical advertisement management data into a preset advertisement classification model to obtain a plurality of historical advertisement management data sets; wherein each of the historical advertising management datasets corresponds to a type of product;
constructing an advertisement putting topological graph based on the historical advertisement management data sets aiming at each historical advertisement management data set;
And constructing the advertisement delivery topological graph set based on each advertisement delivery topological graph.
In one possible implementation, the building an advertisement delivery topology based on the historical advertisement management dataset includes:
Analyzing the historical advertisement management data set to determine historical advertisement putting areas of products corresponding to the historical advertisement management data set, and respectively determining advertisement putting data characteristics of each historical advertisement putting area;
determining a targeted advertising area for a product corresponding to the historical advertising management dataset based on the advertising data characteristics;
respectively determining advertisement putting time period sequences of the target advertisement putting areas based on the historical advertisement management data set;
acquiring a preset map from a preset database, and respectively drawing outline areas of each target advertisement putting area on the preset map; wherein the colors of the contour areas are different from each other;
labeling a delivery time period sequence of the target advertisement delivery area corresponding to the contour area in the contour area for each contour area to obtain an initial advertisement delivery topological graph; the labeling fonts of the throwing time periods in the throwing time period sequence are different from each other;
And obtaining a first classification identifier of a product corresponding to the advertisement management data set, and carrying out coding characterization on the initial advertisement delivery topological graph based on the first classification identifier to obtain the advertisement delivery topological graph.
In one possible implementation manner, the encoding and characterizing the initial advertisement delivery topological graph based on the first classification identifier, to obtain the advertisement delivery topological graph, includes:
Acquiring an initial digital matrix matched with the first classification identifier from a preset database; wherein the first class identification comprises n numbers and n letters, the initial number matrix is an m×m matrix, m×m=n, and m is greater than 3;
Constructing an m multiplied by m blank matrix, and sequentially inserting each number in the first classification mark into the blank matrix to obtain an intermediate number matrix;
Multiplying the initial digital matrix and the intermediate digital matrix to obtain a target digital matrix;
Sequentially matching the row vectors for each letter in the target digital matrix to obtain n letter-row vector pairs;
Acquiring a first image feature and a plurality of second image features for each letter-row vector pair, and respectively calculating the similarity between the first image feature and each second image feature; wherein the first image features are outline features of letters in the letter-row vector pairs, and each of the second image features is an outline feature of each digit in a row vector in the letter-row vector pairs;
For each letter-row vector pair, replacing a target number in a row vector in the letter-row vector pair with a letter in the letter-row vector pair to obtain a coding vector; wherein the target number is a number corresponding to the maximum similarity among the respective similarities corresponding to the letter-row vector pair;
And sequentially arranging the coding vectors from top to bottom to obtain a first coding matrix, and carrying out coding characterization on the initial advertisement delivery topological graph by using the first coding matrix to obtain the advertisement delivery topological graph.
In one possible implementation manner, the matching, in the advertisement delivery topological graph set, the target advertisement delivery topological graph for each advertisement to be delivered includes:
Aiming at each advertisement to be placed, obtaining a second classification identifier of a product corresponding to the advertisement to be placed, generating a second coding matrix based on the second classification identifier, and centralizing the advertisement to be placed in the advertisement placement topological graph to match a target advertisement placement topological graph for the advertisement to be placed based on the second coding matrix; and the first coding matrix corresponding to the target advertisement putting topological graph is consistent with the second coding matrix.
In a possible implementation manner, the generating the tag sequence for delivering the advertisement to be delivered based on the target advertisement delivering topological graph for delivering the advertisement to be delivered includes:
Mapping the outline area marked with the marked fonts to a target outline area set corresponding to the marked fonts, and associating the time period corresponding to the marked fonts with the target outline area set to obtain a time period-target outline area set association relation;
Sequentially arranging the time period-target contour region set association relations based on the sequence of the time periods corresponding to the time period-target contour region set association relations respectively to obtain an initial release tag sequence;
And acquiring the code number of the advertisement to be put, and marking the initial putting label sequence based on the code number to obtain a putting label sequence.
In one possible implementation manner, the fusing the tag sequences to obtain a target tag sequence includes:
performing de-duplication treatment on the contour regions in all the target contour region sets corresponding to any time period to obtain a fused contour region set corresponding to the time period, and associating the time period with the fused contour region set to obtain a time period-fused contour region set association relationship;
Sequentially arranging the time period-fusion profile area set association relations based on the sequence of the time periods corresponding to the time period-fusion profile area set association relations respectively to obtain an intermediate target delivery label sequence;
mapping each release tag sequence to the intermediate target release tag sequence to obtain the target release tag sequence; and marking the code numbers of the advertisements to be put in each outline area of the target put-in tag sequence.
In a second aspect, the present application provides an advertisement automation management system, comprising:
The acquisition module is used for acquiring historical advertisement management data issued by the advertisement data management center and constructing an advertisement putting topological graph set based on the historical advertisement management data; the advertisement delivery topological graph set comprises a plurality of advertisement delivery topological graphs, and each advertisement delivery topological graph corresponds to one type of product;
The matching module is used for acquiring a plurality of advertisements to be put in the advertisement putting center and respectively matching target advertisement putting topological diagrams for the advertisements to be put in the advertisement putting topological diagram set;
the generation module is used for generating a delivery tag sequence of the advertisement to be delivered based on the target advertisement delivery topological graph of the advertisement to be delivered aiming at each advertisement to be delivered;
The fusion module is used for fusing the release tag sequences to obtain a target release tag sequence;
And the delivery module is used for delivering the advertisements to be delivered based on the target delivery tag sequence.
In a third aspect, the present application provides a terminal device comprising a processor, a memory and a computer program stored on the memory and executable by the processor, wherein the computer program, when executed by the processor, implements the advertisement automation management method as described above.
In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the advertisement automation management method as described above.
The application provides an advertisement automation management method, an advertisement automation management system, advertisement automation management equipment and a storage medium, wherein the advertisement automation management method comprises the steps of obtaining historical advertisement management data issued by an advertisement data management center and constructing an advertisement putting topological graph set based on the historical advertisement management data; the advertisement delivery topological graph set comprises a plurality of advertisement delivery topological graphs, and each advertisement delivery topological graph corresponds to one type of product; acquiring a plurality of advertisements to be put in an advertisement putting center, and respectively matching target advertisement putting topological graphs for the advertisements to be put in the advertisement putting topological graph set; aiming at each advertisement to be placed, generating a placement tag sequence of the advertisement to be placed based on the target advertisement placement topological graph of the advertisement to be placed; fusing the release tag sequences to obtain a target release tag sequence; and delivering the advertisements to be delivered based on the target delivery tag sequence. According to the method, on one hand, historical advertisement management data issued by an advertisement data management center are obtained, and an advertisement delivery topological graph set is constructed based on the historical advertisement management data, so that advertisement delivery conditions of different products can be analyzed and known, the grasp of advertisement delivery trends and rules is improved, data support is provided for subsequent advertisement delivery decisions, on the other hand, the timeliness and effectiveness of advertisement delivery are improved by generating a delivery label sequence of the advertisement to be delivered based on the target advertisement delivery topological graph of the advertisement to be delivered, on the other hand, the target delivery label sequence is obtained by fusing the delivery label sequences, the centralized management of the delivery of a plurality of advertisements to be delivered is realized, the advertisement delivery effect is improved, and the conversion rate of the advertisement is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an advertisement automation management method according to an embodiment of the present application;
FIG. 2 is a schematic block diagram of an advertisement automation management system according to an embodiment of the present application;
Fig. 3 is a schematic block diagram of a structure of a terminal device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The flow diagrams depicted in the figures are merely illustrative and not necessarily all of the elements and operations/steps are included or performed in the order described. For example, some operations/steps may be further divided, combined, or partially combined, so that the order of actual execution may be changed according to actual situations.
It is also to be understood that the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
With the development of internet technology, more and more merchants market own products in a mode of advertising to terminal equipment through the internet, which brings great challenges to management of advertisements, and the conventional advertisement management method generally puts a plurality of advertisements to be put simultaneously when the advertisement putting center has a plurality of advertisements to be put. Therefore, the application provides an advertisement automatic management method and system to solve the above problems.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a flowchart of an advertisement automation management method according to an embodiment of the present application, and as shown in fig. 1, the advertisement automation management method according to an embodiment of the present application includes steps S100 to S500.
Step S100, historical advertisement management data issued by an advertisement data management center is obtained, and an advertisement putting topological graph set is constructed based on the historical advertisement management data; the advertisement delivery topological graph set comprises a plurality of advertisement delivery topological graphs, and each advertisement delivery topological graph corresponds to one type of product.
It should be noted that, the construction of the advertisement delivery topology graph set based on the historical advertisement management data includes the following steps:
Inputting the historical advertisement management data into a preset advertisement classification model to obtain a plurality of historical advertisement management data sets; wherein each of the historical advertising management datasets corresponds to a type of product;
constructing an advertisement putting topological graph based on the historical advertisement management data sets aiming at each historical advertisement management data set;
And constructing the advertisement delivery topological graph set based on each advertisement delivery topological graph.
The advertisement management data set at least comprises a historical advertisement putting area of advertisements, historical putting times of the advertisements in each putting time period of each historical advertisement putting area, a historical click rate and a historical conversion rate.
It should be noted that, the construction of the advertisement delivery topological graph based on the historical advertisement management data set includes the following steps:
Analyzing the historical advertisement management data set to determine historical advertisement putting areas of products corresponding to the historical advertisement management data set, and respectively determining advertisement putting data characteristics of each historical advertisement putting area;
determining a targeted advertising area for a product corresponding to the historical advertising management dataset based on the advertising data characteristics;
respectively determining advertisement putting time period sequences of the target advertisement putting areas based on the historical advertisement management data set;
acquiring a preset map from a preset database, and respectively drawing outline areas of each target advertisement putting area on the preset map; wherein the colors of the contour areas are different from each other;
labeling a delivery time period sequence of the target advertisement delivery area corresponding to the contour area in the contour area for each contour area to obtain an initial advertisement delivery topological graph; the labeling fonts of the throwing time periods in the throwing time period sequence are different from each other;
And obtaining a first classification identifier of a product corresponding to the advertisement management data set, and carrying out coding characterization on the initial advertisement delivery topological graph based on the first classification identifier to obtain the advertisement delivery topological graph.
It will be appreciated that the advertisement placement data characteristics include, but are not limited to, a historical advertisement placement amount, a historical advertisement click-through rate, and a historical advertisement conversion rate for each time period within the advertisement placement area for each of the historical advertisement placement areas, and that the historical advertisement click-through rate and the historical advertisement conversion rate for the targeted advertisement placement area for at least one of the placement time periods of the targeted advertisement placement area meet preset requirements.
It can be understood that the colors of the outline areas are set to be different colors in the advertisement delivery topological graph, and the fonts of the different delivery time periods are set to be different fonts, so that the advertisement delivery topological graph is beneficial to accurately distinguishing different target advertisement delivery areas and different advertisement delivery time periods in the same advertisement delivery area, thereby improving the reliability of the delivery label sequence and further improving the advertisement delivery effect of the advertisement to be delivered.
It should be noted that, the encoding and characterizing the initial advertisement delivery topological graph based on the first classification identifier to obtain the advertisement delivery topological graph includes the following steps:
Acquiring an initial digital matrix matched with the first classification identifier from a preset database; wherein the first class identification comprises n numbers and n letters, the initial number matrix is an m×m matrix, m×m=n, and m is greater than 3;
Constructing an m multiplied by m blank matrix, and sequentially inserting each number in the first classification mark into the blank matrix to obtain an intermediate number matrix;
Multiplying the initial digital matrix and the intermediate digital matrix to obtain a target digital matrix;
Sequentially matching the row vectors for each letter in the target digital matrix to obtain n letter-row vector pairs;
Acquiring a first image feature and a plurality of second image features for each letter-row vector pair, and respectively calculating the similarity between the first image feature and each second image feature; wherein the first image features are outline features of letters in the letter-row vector pairs, and each of the second image features is an outline feature of each digit in a row vector in the letter-row vector pairs;
For each letter-row vector pair, replacing a target number in a row vector in the letter-row vector pair with a letter in the letter-row vector pair to obtain a coding vector; wherein the target number is a number corresponding to the maximum similarity among the respective similarities corresponding to the letter-row vector pair;
And sequentially arranging the coding vectors from top to bottom to obtain a first coding matrix, and carrying out coding characterization on the initial advertisement delivery topological graph by using the first coding matrix to obtain the advertisement delivery topological graph.
It can be appreciated that by adopting the method to code and characterize the initial advertisement delivery topological graph, the characterization precision in the process of coding and characterizing the initial advertisement delivery topological graph can be improved, which is helpful for improving the reliability of the delivery label sequence, thereby improving the advertisement delivery effect.
Step 200, a plurality of advertisements to be put in the advertisement putting center are obtained, and target advertisement putting topological diagrams are respectively matched for the advertisements to be put in the advertisement putting topological diagram set.
It should be noted that, the matching target advertisement delivery topological graph for each advertisement to be delivered in the advertisement delivery topological graph set includes the following steps:
Aiming at each advertisement to be placed, obtaining a second classification identifier of a product corresponding to the advertisement to be placed, generating a second coding matrix based on the second classification identifier, and centralizing the advertisement to be placed in the advertisement placement topological graph to match a target advertisement placement topological graph for the advertisement to be placed based on the second coding matrix; and the first coding matrix corresponding to the target advertisement putting topological graph is consistent with the second coding matrix.
The method for generating the second coding matrix based on the second classification mark comprises the following steps:
Acquiring an initial digital matrix matched with the second classification identifier from a preset database; wherein the second class identifier comprises n numbers and n letters, the initial number matrix is an m×m matrix, m×m=n, and m is greater than 3;
Constructing an m multiplied by m blank matrix, and sequentially inserting each number in the second classification mark into the blank matrix to obtain an intermediate number matrix;
Multiplying the initial digital matrix and the intermediate digital matrix to obtain a target digital matrix;
Sequentially matching the row vectors for each letter in the target digital matrix to obtain n letter-row vector pairs;
Acquiring a first image feature and a plurality of second image features for each letter-row vector pair, and respectively calculating the similarity between the first image feature and each second image feature; wherein the first image features are outline features of letters in the letter-row vector pairs, and each of the second image features is an outline feature of each digit in a row vector in the letter-row vector pairs;
For each letter-row vector pair, replacing a target number in a row vector in the letter-row vector pair with a letter in the letter-row vector pair to obtain a coding vector; wherein the target number is a number corresponding to the maximum similarity among the respective similarities corresponding to the letter-row vector pair;
and arranging the coding vectors sequentially from top to bottom to obtain a second coding matrix.
Step S300, aiming at each advertisement to be placed, a placement label sequence of the advertisement to be placed is generated based on the target advertisement placement topological graph of the advertisement to be placed.
It should be noted that the generating the tag sequence for advertisement to be delivered based on the target advertisement delivery topological graph for advertisement to be delivered includes:
Mapping the outline area marked with the marked fonts to a target outline area set corresponding to the marked fonts, and associating the time period corresponding to the marked fonts with the target outline area set to obtain a time period-target outline area set association relation;
Sequentially arranging the time period-target contour region set association relations based on the sequence of the time periods corresponding to the time period-target contour region set association relations respectively to obtain an initial release tag sequence;
And acquiring the code number of the advertisement to be put, and marking the initial putting label sequence based on the code number to obtain a putting label sequence.
It can be understood that the reliability of the tag sequence obtained by the method is high, which is helpful to improve the advertisement effect to be delivered.
And step S400, fusing the release tag sequences to obtain a target release tag sequence.
It should be noted that, the fusing the tag sequence to obtain the target tag sequence includes the following steps:
performing de-duplication treatment on the contour regions in all the target contour region sets corresponding to any time period to obtain a fused contour region set corresponding to the time period, and associating the time period with the fused contour region set to obtain a time period-fused contour region set association relationship;
Sequentially arranging the time period-fusion profile area set association relations based on the sequence of the time periods corresponding to the time period-fusion profile area set association relations respectively to obtain an intermediate target delivery label sequence;
mapping each release tag sequence to the intermediate target release tag sequence to obtain the target release tag sequence; and marking the code numbers of the advertisements to be put in each outline area of the target put-in tag sequence.
It can be appreciated that by adopting the scheme, the integrated management of the delivery of the advertisements to be delivered in the advertisement delivery area is realized, which is beneficial to improving the delivery efficiency of the advertisements.
And S500, putting the advertisements to be put on the basis of the target putting tag sequence.
According to the automatic advertisement management method provided by the embodiment of the application, on one hand, the historical advertisement management data issued by the advertisement data management center is obtained, and the advertisement release topological graph set is constructed based on the historical advertisement management data, so that the analysis and understanding of advertisement release conditions of different products are facilitated, the grasp of advertisement release trend and law is improved, the data support is provided for the subsequent advertisement release decision, on the other hand, the release tag sequence of the advertisement to be released is generated based on the target advertisement release topological graph of the advertisement to be released, the timeliness and effectiveness of advertisement release are improved, on the other hand, the target release tag sequences are obtained by fusing the release tag sequences, the centralized management of the release of a plurality of advertisements to be released is realized, the advertisement release effect is improved, and the conversion rate of the advertisement is improved.
Referring to fig. 2, fig. 2 is a schematic block diagram of an advertisement automation management system 100 according to an embodiment of the present application, and as shown in fig. 2, the advertisement automation management system 100 according to an embodiment of the present application includes:
An acquisition module 110, configured to acquire historical advertisement management data issued by an advertisement data management center, and construct an advertisement delivery topology graph set based on the historical advertisement management data; the advertisement delivery topological graph set comprises a plurality of advertisement delivery topological graphs, and each advertisement delivery topological graph corresponds to one type of product.
And the matching module 120 is configured to obtain a plurality of advertisements to be placed in the advertisement placement center, and match target advertisement placement topological graphs for the advertisements to be placed in the advertisement placement topological graph set respectively.
The generating module 130 is configured to generate, for each advertisement to be served, a serving tag sequence of the advertisement to be served based on the target advertisement serving topology map of the advertisement to be served.
And the fusion module 140 is configured to fuse each of the delivery tag sequences to obtain a target delivery tag sequence.
And the delivery module 150 is configured to deliver the plurality of advertisements to be delivered based on the target delivery tag sequence.
It should be noted that, for convenience and brevity of description, specific working processes of the above-described apparatus and each module may refer to corresponding processes in the foregoing embodiment of the advertisement automation management method, which are not described herein again.
The advertisement automation management apparatus 100 provided in the above embodiment may be implemented in the form of a computer program that can be run on the terminal device 200 as shown in fig. 3.
Referring to fig. 3, fig. 3 is a schematic block diagram of a structure of a terminal device 200 according to an embodiment of the present application, where the terminal device 200 includes a processor 201 and a memory 202, and the processor 201 and the memory 202 are connected through a system bus 203, and the memory 202 may include a nonvolatile storage medium and an internal memory.
The non-volatile storage medium may store a computer program. The computer program comprises program instructions that, when executed by the processor 201, cause the processor 201 to perform any of the advertising automation methods described above.
The processor 201 is used to provide computing and control capabilities supporting the operation of the overall terminal device 200.
The internal memory provides an environment for the execution of a computer program in a non-volatile storage medium that, when executed by the processor 201, causes the processor 201 to perform any of the advertising automation methods described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 3 is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation of the terminal device 200 related to the present application, and that a specific terminal device 200 may include more or less components than those shown in the drawings, or may combine some components, or have a different arrangement of components.
It should be appreciated that the Processor 201 may be a central processing unit (Central Processing Unit, CPU), and the Processor 201 may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL processors, DSPs), application SPECIFIC INTEGRATED Circuits (ASICs), field-Programmable gate arrays (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
In some embodiments, the processor 201 is configured to execute a computer program stored in the memory to implement the following steps:
Acquiring historical advertisement management data issued by an advertisement data management center, and constructing an advertisement putting topological graph set based on the historical advertisement management data; the advertisement delivery topological graph set comprises a plurality of advertisement delivery topological graphs, and each advertisement delivery topological graph corresponds to one type of product;
Acquiring a plurality of advertisements to be put in an advertisement putting center, and respectively matching target advertisement putting topological graphs for the advertisements to be put in the advertisement putting topological graph set;
Aiming at each advertisement to be placed, generating a placement tag sequence of the advertisement to be placed based on the target advertisement placement topological graph of the advertisement to be placed;
fusing the release tag sequences to obtain a target release tag sequence;
and delivering the advertisements to be delivered based on the target delivery tag sequence.
It should be noted that, for convenience and brevity of description, the specific working process of the terminal device 200 described above may refer to the corresponding process of the advertisement automation management method, and will not be described herein.
Embodiments of the present application also provide a computer-readable storage medium storing a computer program that, when executed by one or more processors, causes the one or more processors to implement an advertisement automation management method as provided by the embodiments of the present application.
The computer readable storage medium may be an internal storage unit of the terminal device 200 of the foregoing embodiment, for example, a hard disk or a memory of the terminal device 200. The computer readable storage medium may also be an external storage device of the terminal device 200, such as a plug-in hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like, which the terminal device 200 is equipped with.
While the application has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (5)
1. An advertising automation management method, comprising:
Acquiring historical advertisement management data issued by an advertisement data management center, and constructing an advertisement putting topological graph set based on the historical advertisement management data; the advertisement delivery topological graph set comprises a plurality of advertisement delivery topological graphs, and each advertisement delivery topological graph corresponds to one type of product;
Acquiring a plurality of advertisements to be put in an advertisement putting center, and respectively matching target advertisement putting topological graphs for the advertisements to be put in the advertisement putting topological graph set;
Aiming at each advertisement to be placed, generating a placement tag sequence of the advertisement to be placed based on the target advertisement placement topological graph of the advertisement to be placed;
fusing the release tag sequences to obtain a target release tag sequence;
delivering the plurality of advertisements to be delivered based on the target delivery tag sequence;
Wherein the constructing an advertisement delivery topology graph set based on the historical advertisement management data comprises:
Inputting the historical advertisement management data into a preset advertisement classification model to obtain a plurality of historical advertisement management data sets; wherein each of the historical advertising management datasets corresponds to a type of product;
constructing an advertisement putting topological graph based on the historical advertisement management data sets aiming at each historical advertisement management data set;
Constructing the advertisement delivery topological graph set based on each advertisement delivery topological graph;
The building of the advertisement delivery topological graph based on the historical advertisement management data set comprises the following steps:
Analyzing the historical advertisement management data set to determine historical advertisement putting areas of products corresponding to the historical advertisement management data set, and respectively determining advertisement putting data characteristics of each historical advertisement putting area;
determining a targeted advertising area for a product corresponding to the historical advertising management dataset based on the advertising data characteristics;
respectively determining advertisement putting time period sequences of the target advertisement putting areas based on the historical advertisement management data set;
acquiring a preset map from a preset database, and respectively drawing outline areas of each target advertisement putting area on the preset map; wherein the colors of the contour areas are different from each other;
labeling a delivery time period sequence of the target advertisement delivery area corresponding to the contour area in the contour area for each contour area to obtain an initial advertisement delivery topological graph; the labeling fonts of the throwing time periods in the throwing time period sequence are different from each other;
Acquiring a first classification identifier of a product corresponding to the advertisement management data set, and carrying out coding characterization on the initial advertisement delivery topological graph based on the first classification identifier to obtain the advertisement delivery topological graph;
the encoding and characterizing the initial advertisement delivery topological graph based on the first classification identifier to obtain the advertisement delivery topological graph comprises the following steps:
acquiring an initial digital matrix matched with the first classification identifier from a preset database; wherein the first class identification comprises n numbers and n letters, the initial number matrix is an m×m matrix, m×m=n, and m is greater than 3;
Constructing an m multiplied by m blank matrix, and sequentially inserting each number in the first classification mark into the blank matrix to obtain an intermediate number matrix;
Multiplying the initial digital matrix and the intermediate digital matrix to obtain a target digital matrix;
Sequentially matching the row vectors for each letter in the target digital matrix to obtain n letter-row vector pairs;
Acquiring a first image feature and a plurality of second image features for each letter-row vector pair, and respectively calculating the similarity between the first image feature and each second image feature; wherein the first image features are outline features of letters in the letter-row vector pairs, and each of the second image features is an outline feature of each digit in a row vector in the letter-row vector pairs;
For each letter-row vector pair, replacing a target number in a row vector in the letter-row vector pair with a letter in the letter-row vector pair to obtain a coding vector; wherein the target number is a number corresponding to the maximum similarity among the respective similarities corresponding to the letter-row vector pair;
sequentially arranging the coding vectors from top to bottom to obtain a first coding matrix, and carrying out coding characterization on the initial advertisement delivery topological graph by using the first coding matrix to obtain the advertisement delivery topological graph;
The generating the advertisement tag sequence of the advertisement to be delivered based on the target advertisement delivery topological graph of the advertisement to be delivered comprises the following steps:
Mapping the outline area marked with the marked fonts to a target outline area set corresponding to the marked fonts, and associating the time period corresponding to the marked fonts with the target outline area set to obtain a time period-target outline area set association relation;
Sequentially arranging the time period-target contour region set association relations based on the sequence of the time periods corresponding to the time period-target contour region set association relations respectively to obtain an initial release tag sequence;
Acquiring the code number of the advertisement to be put, and marking the initial putting label sequence based on the code number to obtain a putting label sequence;
The step of fusing the release tag sequences to obtain a target release tag sequence comprises the following steps:
performing de-duplication treatment on the contour regions in all the target contour region sets corresponding to any time period to obtain a fused contour region set corresponding to the time period, and associating the time period with the fused contour region set to obtain a time period-fused contour region set association relationship;
Sequentially arranging the time period-fusion profile area set association relations based on the sequence of the time periods corresponding to the time period-fusion profile area set association relations respectively to obtain an intermediate target delivery label sequence;
mapping each release tag sequence to the intermediate target release tag sequence to obtain the target release tag sequence; and marking the code numbers of the advertisements to be put in each outline area of the target put-in tag sequence.
2. The method of automatic advertisement management according to claim 1, wherein the matching target advertisement placement topological graphs for the advertisements to be placed in the advertisement placement topological graph set respectively includes:
Aiming at each advertisement to be placed, obtaining a second classification identifier of a product corresponding to the advertisement to be placed, generating a second coding matrix based on the second classification identifier, and centralizing the advertisement to be placed in the advertisement placement topological graph to match a target advertisement placement topological graph for the advertisement to be placed based on the second coding matrix; and the first coding matrix corresponding to the target advertisement putting topological graph is consistent with the second coding matrix.
3. An advertising automation management system, comprising:
The acquisition module is used for acquiring historical advertisement management data issued by the advertisement data management center and constructing an advertisement putting topological graph set based on the historical advertisement management data; the advertisement delivery topological graph set comprises a plurality of advertisement delivery topological graphs, and each advertisement delivery topological graph corresponds to one type of product;
The matching module is used for acquiring a plurality of advertisements to be put in the advertisement putting center and respectively matching target advertisement putting topological diagrams for the advertisements to be put in the advertisement putting topological diagram set;
the generation module is used for generating a delivery tag sequence of the advertisement to be delivered based on the target advertisement delivery topological graph of the advertisement to be delivered aiming at each advertisement to be delivered;
The fusion module is used for fusing the release tag sequences to obtain a target release tag sequence;
the delivery module is used for delivering the advertisements to be delivered based on the target delivery tag sequence;
Wherein the constructing an advertisement delivery topology graph set based on the historical advertisement management data comprises:
Inputting the historical advertisement management data into a preset advertisement classification model to obtain a plurality of historical advertisement management data sets; wherein each of the historical advertising management datasets corresponds to a type of product;
constructing an advertisement putting topological graph based on the historical advertisement management data sets aiming at each historical advertisement management data set;
Constructing the advertisement delivery topological graph set based on each advertisement delivery topological graph;
The building of the advertisement delivery topological graph based on the historical advertisement management data set comprises the following steps:
Analyzing the historical advertisement management data set to determine historical advertisement putting areas of products corresponding to the historical advertisement management data set, and respectively determining advertisement putting data characteristics of each historical advertisement putting area;
determining a targeted advertising area for a product corresponding to the historical advertising management dataset based on the advertising data characteristics;
respectively determining advertisement putting time period sequences of the target advertisement putting areas based on the historical advertisement management data set;
acquiring a preset map from a preset database, and respectively drawing outline areas of each target advertisement putting area on the preset map; wherein the colors of the contour areas are different from each other;
labeling a delivery time period sequence of the target advertisement delivery area corresponding to the contour area in the contour area for each contour area to obtain an initial advertisement delivery topological graph; the labeling fonts of the throwing time periods in the throwing time period sequence are different from each other;
Acquiring a first classification identifier of a product corresponding to the advertisement management data set, and carrying out coding characterization on the initial advertisement delivery topological graph based on the first classification identifier to obtain the advertisement delivery topological graph;
the encoding and characterizing the initial advertisement delivery topological graph based on the first classification identifier to obtain the advertisement delivery topological graph comprises the following steps:
acquiring an initial digital matrix matched with the first classification identifier from a preset database; wherein the first class identification comprises n numbers and n letters, the initial number matrix is an m×m matrix, m×m=n, and m is greater than 3;
Constructing an m multiplied by m blank matrix, and sequentially inserting each number in the first classification mark into the blank matrix to obtain an intermediate number matrix;
Multiplying the initial digital matrix and the intermediate digital matrix to obtain a target digital matrix;
Sequentially matching the row vectors for each letter in the target digital matrix to obtain n letter-row vector pairs;
Acquiring a first image feature and a plurality of second image features for each letter-row vector pair, and respectively calculating the similarity between the first image feature and each second image feature; wherein the first image features are outline features of letters in the letter-row vector pairs, and each of the second image features is an outline feature of each digit in a row vector in the letter-row vector pairs;
For each letter-row vector pair, replacing a target number in a row vector in the letter-row vector pair with a letter in the letter-row vector pair to obtain a coding vector; wherein the target number is a number corresponding to the maximum similarity among the respective similarities corresponding to the letter-row vector pair;
sequentially arranging the coding vectors from top to bottom to obtain a first coding matrix, and carrying out coding characterization on the initial advertisement delivery topological graph by using the first coding matrix to obtain the advertisement delivery topological graph;
The generating the advertisement tag sequence of the advertisement to be delivered based on the target advertisement delivery topological graph of the advertisement to be delivered comprises the following steps:
Mapping the outline area marked with the marked fonts to a target outline area set corresponding to the marked fonts, and associating the time period corresponding to the marked fonts with the target outline area set to obtain a time period-target outline area set association relation;
Sequentially arranging the time period-target contour region set association relations based on the sequence of the time periods corresponding to the time period-target contour region set association relations respectively to obtain an initial release tag sequence;
Acquiring the code number of the advertisement to be put, and marking the initial putting label sequence based on the code number to obtain a putting label sequence;
The step of fusing the release tag sequences to obtain a target release tag sequence comprises the following steps:
performing de-duplication treatment on the contour regions in all the target contour region sets corresponding to any time period to obtain a fused contour region set corresponding to the time period, and associating the time period with the fused contour region set to obtain a time period-fused contour region set association relationship;
Sequentially arranging the time period-fusion profile area set association relations based on the sequence of the time periods corresponding to the time period-fusion profile area set association relations respectively to obtain an intermediate target delivery label sequence;
mapping each release tag sequence to the intermediate target release tag sequence to obtain the target release tag sequence; and marking the code numbers of the advertisements to be put in each outline area of the target put-in tag sequence.
4. A terminal device comprising a processor, a memory and a computer program stored on the memory and executable by the processor, wherein the computer program when executed by the processor implements the advertising automation management method according to any one of claims 1 to 2.
5. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, wherein the computer program, when executed by a processor, implements the advertisement automation management method according to any one of claims 1 to 2.
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| CN111651669A (en) * | 2020-05-20 | 2020-09-11 | 拉扎斯网络科技（上海）有限公司 | Information recommendation method and device, electronic equipment and computer-readable storage medium |
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| CN109934618A (en) * | 2019-01-31 | 2019-06-25 | 北京三快在线科技有限公司 | Region recommended method, device, equipment and readable storage medium storing program for executing are launched in a kind of advertisement |
| CN111651669A (en) * | 2020-05-20 | 2020-09-11 | 拉扎斯网络科技（上海）有限公司 | Information recommendation method and device, electronic equipment and computer-readable storage medium |
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