Data processing method and system for advertising industry and storage medium

Abstract

The invention relates to the technical field of data processing, and discloses a data processing method and system for the advertising industry, and a storage medium, and the method comprises the steps: obtaining advertisement contents, advertisement demands and advertisement funds, obtaining an advertisement data processing model, carrying out the verification, carrying out the quotation, and generating an advertisement putting strategy. The system and the storage medium both correspond to the method. According to the data processing method and system for the advertising industry and the storage medium, the advertisement content, the advertisement demand and the advertisement funds are obtained, a data basis is provided for data processing by utilizing the advertisement data processing model, and a technical basis is provided for realizing autonomous auditing, quoting and generating an advertisement putting strategy through the advertisement data processing model; therefore, optimization and improvement of data processing of the advertising industry are realized.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and specifically to a data processing method, system and storage medium for the advertising industry. Background Art

[0002] With the development of the Internet, the advertising industry is also facing the challenge of digital transformation. More and more advertising businesses come from and are placed on the Internet, which results in a large amount of data for the advertising industry that needs to be processed. Therefore, it is necessary to study data processing for the advertising industry.

[0003] Chinese patent number CN202410712294 discloses a smart advertising publishing system and method, the system includes a user end, an advertising operator client, an industrial and commercial management client, and multiple advertising display terminals, the user end is used to obtain multimodal demand data issued by the user, the user end and the advertising operator end process the multimodal demand data to confirm the advertising demand that the user needs to publish, and the advertising operator client and the industrial and commercial management client process the advertising demand to generate user-satisfied and compliant and legal advertisements for display on each of the advertising display terminals. However, the invention fails to solve the data processing in the quotation link of the advertising industry.

[0004] Similarly, faced with a large amount of employee turnover, there is a dilemma that new employees are unable to quickly master the basic skills of the advertising industry. There needs to be certain historical data for new employees to learn and help them conduct business.

[0005] In summary, the prior art urgently needs a new technical solution for data processing in the advertising industry to optimize data processing in the advertising industry. Summary of the invention

[0006] The purpose of this application is to provide a data processing method, system and storage medium for the advertising industry to solve the technical problems raised in the above background technology.

[0007] To achieve the above objectives, this application discloses the following technical solutions:

[0008] In a first aspect, the present application discloses a data processing method for the advertising industry, the method comprising:

[0009] S1: Obtain any one or more of the advertisement content, advertisement demand and advertisement funds uploaded by the user;

[0010] S2: Obtain an advertising data processing model pre-trained by deep learning;

[0011] S3: using the advertisement data processing model to conduct review based on the advertisement content;

[0012] S4: using the advertisement data processing model and making a quotation based on the advertisement demand;

[0013] S5: Generate an advertisement delivery strategy by using the advertisement data processing model and based on the advertisement demand and the advertisement funds;

[0014] The advertising content includes any one or more of text advertising, audio advertising and video advertising;

[0015] The advertising demand at least includes a placement location demand and a placement frequency demand;

[0016] The advertising expenses are specifically the amount of money used by merchants to place advertisements;

[0017] The advertising data processing model stores a preset audit tool, an audit expert database, a quotation expert database and an advertising delivery strategy database, and is configured to perform auditing, quotation or generate an advertising delivery strategy based on any one or more of the advertising content, the advertising demand and the advertising funds;

[0018] The review expert database stores a variety of review rules; the review rules at least include sensitive word rules and prohibited image rules;

[0019] The quotation expert database stores a plurality of quotation rules; the quotation rules at least include location charging rules, frequency charging rules and floating quotation rules;

[0020] The advertisement delivery strategy database stores a plurality of advertisement delivery strategies and corresponding quotations; the advertisement delivery strategy is used to guide the delivery position and delivery frequency of the advertisement content.

[0021] Preferably, the process of conducting the review includes:

[0022] Parsing the advertisement content and calling the corresponding review tool;

[0023] Calling the review expert database, using the sensitive word rules and the prohibited image rules in combination with the review tool to review the advertisement content;

[0024] When the review is passed, the advertisement content is output;

[0025] When the audit fails, the position in the advertisement content that fails the audit is marked, and the position and the advertisement content are output.

[0026] Preferably, the review tool includes a text review tool for reviewing the text advertisement, an audio review tool for reviewing the audio advertisement, and a video review tool for reviewing the video advertisement.

[0027] Preferably, the location charging rules store prices corresponding to different placement locations;

[0028] The frequency charging rules store prices corresponding to different delivery frequencies;

[0029] The floating quotation rule is obtained from the historical advertising transaction prices and is used to limit the fluctuation of the quotation.

[0030] Preferably, the process of making a quotation includes:

[0031] Analyze the advertisement demand to obtain the delivery position demand and the delivery frequency demand;

[0032] Calling the quotation expert database, using the location charging rule and the frequency charging rule in combination with the delivery location requirement and the delivery frequency requirement to obtain a basic quotation; using the floating quotation rule in combination with the basic quotation to obtain a floating quotation;

[0033] The basic quotation and the floating quotation are output.

[0034] Preferably, the process of generating an advertisement delivery strategy includes:

[0035] Analyze the advertisement demand to obtain the location delivery demand and the delivery frequency demand;

[0036] Calling the advertisement delivery strategy database, and matching the corresponding advertisement delivery strategy in the advertisement delivery strategy database in combination with the location delivery requirement and the delivery frequency requirement;

[0037] The advertisement delivery strategy obtained by matching is defined as a trial recommendation plan, and the quotation corresponding to the trial recommendation plan is defined as a trial quotation;

[0038] Output the trial recommendation plan and the corresponding trial quotation.

[0039] Preferably, the process of generating an advertisement delivery strategy further includes:

[0040] Obtaining the trial quotation and the advertising funds;

[0041] A verification price is obtained based on the floating quotation rule and the trial quotation, and it is determined whether the deviation between the verification price and the advertising funds is less than or equal to a preset verification threshold. If so, a trial recommendation plan corresponding to the verification price and the trial quotation is output as the result of generating the advertising delivery strategy; otherwise, the trial recommendation plan is regenerated until the difference between the verification price and the advertising funds is less than or equal to a preset verification threshold; wherein the verification threshold is used to limit the deviation between the verification price and the advertising funds.

[0042] Preferably, the method further comprises:

[0043] S6: Generate a user transaction record based on the advertisement delivery record;

[0044] The transaction record is specifically a detail of the user fees collected after each round of advertising.

[0045] In a second aspect, the present application discloses a data processing system for the advertising industry, the system is applicable to the data processing method for the advertising industry as described above, and the system comprises:

[0046] A data acquisition module, wherein the data acquisition module is configured to: acquire any one or more of the advertisement content, advertisement demand and advertisement funds uploaded by the user;

[0047] A model acquisition module, wherein the model acquisition module is configured to acquire a pre-trained advertising data processing model;

[0048] An audit module, the audit module being configured to perform audit based on the advertisement content using the advertisement data processing model;

[0049] A quotation module, wherein the quotation module is configured to make a quotation based on the advertisement demand by using the advertisement data processing model;

[0050] A strategy generation module, wherein the strategy generation module is configured to generate an advertisement delivery strategy based on the advertisement demand and the advertisement funds by using the advertisement data processing model;

[0051] The advertising content includes any one or more of text advertising, audio advertising and video advertising;

[0052] The advertising demand at least includes a placement location demand and a placement frequency demand;

[0053] The advertising expenses are specifically the amount of money used by merchants to place advertisements;

[0054] The advertising data processing model stores a preset audit tool, an audit expert database, a quotation expert database and an advertising delivery strategy database, and is configured to perform auditing, quotation or generate an advertising delivery strategy based on any one or more of the advertising content, the advertising demand and the advertising funds;

[0055] The review expert database stores a variety of review rules; the review rules at least include sensitive word rules and prohibited image rules;

[0056] The quotation expert database stores a plurality of quotation rules; the quotation rules at least include location charging rules, frequency charging rules and floating quotation rules;

[0057] The advertisement delivery strategy database stores a plurality of advertisement delivery strategies; the advertisement delivery strategy is used to guide the delivery position and delivery frequency of the advertisement content.

[0058] In a third aspect, the present application discloses a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the data processing method for the advertising industry as described in any one of claims 1 to 8 is implemented.

[0059] Beneficial effects: The present application provides a data processing method, system and storage medium for the advertising industry, which obtains advertising content, advertising demand and advertising funds, providing a data basis for data processing using an advertising data processing model. The advertising data processing model provides a technical basis for realizing independent review, quotation and generating advertising delivery strategies, thereby optimizing and improving data processing in the advertising industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0061] Figure 1 A flowchart of a data processing method for the advertising industry provided in an embodiment of the present application;

[0062] Figure 2 This is a structural block diagram of a data processing system for the advertising industry provided in an embodiment of the present application. DETAILED DESCRIPTION

[0063] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0064] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0065] In a first aspect, this embodiment discloses Figure 1 A data processing method for the advertising industry is shown, the method comprising:

[0066] S1: Obtain any one or more of the advertisement content, advertisement demand and advertisement funds uploaded by the user;

[0067] S2: Obtain an advertising data processing model pre-trained by deep learning;

[0068] S3: Utilize the advertising data processing model and conduct review based on advertising content;

[0069] S4: Utilize the advertising data processing model and make a quotation based on advertising demand;

[0070] S5: Utilize the advertising data processing model to generate advertising delivery strategies based on advertising demand and advertising funds;

[0071] The advertising content includes any one or more of text ads, audio ads and video ads;

[0072] Advertising demand at least includes demand for placement location and frequency of placement;

[0073] Advertising expenses specifically refer to the amount of money that merchants use to place advertisements;

[0074] The advertising data processing model stores preset audit tools, audit expert database, quotation expert database and advertising delivery strategy database, and is configured to perform audit, quotation or generate advertising delivery strategy based on any one or more of advertising content, advertising demand and advertising funds;

[0075] The review expert database stores a variety of review rules; the review rules at least include sensitive word rules and prohibited image rules;

[0076] The quotation expert database stores a variety of quotation rules; the quotation rules at least include location charging rules, frequency charging rules and floating quotation rules;

[0077] The advertisement delivery strategy database stores a variety of advertisement delivery strategies and corresponding quotations; the advertisement delivery strategy is used to guide the delivery position and delivery frequency of the advertisement content.

[0078] It should be noted that the advertising data processing model pre-trained by deep learning in this embodiment utilizes the model building method in the existing deep learning technology to achieve the autonomous execution of review, quotation or generation of advertising delivery strategy based on any one or more of advertising content, advertising demand and advertising funds with the help of review tools, review expert library, quotation expert library and advertising delivery strategy database.

[0079] Based on the above, this embodiment provides a data basis for data processing using an advertising data processing model by acquiring advertising content, advertising demand, and advertising funds. The advertising data processing model provides a technical basis for realizing independent review, quotation, and generating advertising delivery strategies, thereby optimizing and improving data processing in the advertising industry.

[0080] Specifically, the audit process includes:

[0081] Analyze the advertising content and call the corresponding review tool;

[0082] Call the audit expert database, use the sensitive word rules and prohibited image rules and combine them with the audit tools to audit the advertising content;

[0083] When the review is passed, the advertising content is output;

[0084] When the review fails, the location in the advertisement content that fails the review is marked, and the location and the advertisement content are output.

[0085] It should be noted that the review expert database of this embodiment is obtained based on the rules in the actual advertising review process and the existing expert database technology, for example, sensitive words and prohibited images for minors. It is understandable that in the actual advertising review process, there are also review rules such as political sensitivity, which can be stored in the review expert database, thereby providing a more comprehensive data reference for the autonomous review using the advertising data processing model and improving the quality of the review. It is understandable that the administrator can still use the corresponding account permissions to manually review the advertisements.

[0086] Based on the above, this embodiment provides data reference for independent auditing by constructing an audit expert database, and improves the efficiency of data processing in the advertising industry based on independent auditing.

[0087] Specifically, the review tools include a text review tool for reviewing text ads, an audio review tool for reviewing audio ads, and a video review tool for reviewing video ads.

[0088] It should be noted that the audit tool of this embodiment can be any existing tool that can be used to audit text, audio and video. For example, a communication connection is established between the audit tool of a third party and the advertising data processing model of this embodiment, thereby realizing the audit of the acquired advertising content.

[0089] Based on the above, this embodiment provides a technical basis for autonomously reviewing the advertising data processing model through the review tool, and provides corresponding review tools for different types of advertising content, thereby improving the applicability of the advertising data processing model.

[0090] Specifically, the location charging rules store prices corresponding to different placement locations;

[0091] The frequency billing rules store prices corresponding to different delivery frequencies;

[0092] The floating quotation rule is obtained from the historical advertising transaction price and is used to limit the fluctuation of the quotation.

[0093] It should be noted that the quotation expert database of this embodiment is obtained based on the rules in the actual advertising quotation process and the existing expert database technology; the floating quotation rules of this embodiment are obtained based on the statistics of the historical advertising transaction prices negotiated by the salesperson in the actual advertising quotation. For example, when a certain brand needs to place an advertisement, the salesperson learns that the brand will release new products in the near future, and the salesperson will increase the original quotation based on the location billing rules and frequency billing rules to obtain greater benefits; for example, after determining that a certain user is a long-term user, the original quotation based on the location billing rules and frequency billing rules is lowered to ensure long-term cooperation. This embodiment uses the existing big data technology to statistically obtain the floating quotation rules based on these floating quotation data, thereby ensuring the rationality and competitiveness of the quotation results.

[0094] Based on the above, this embodiment provides data reference for autonomous quotation by constructing a quotation expert database, and optimizes data processing in the advertising industry based on autonomous quotation.

[0095] Specifically, the quotation process includes:

[0096] Analyze advertising demand to obtain demand for placement location and frequency;

[0097] Call the quotation expert database, use the location billing rules and frequency billing rules and combine the placement location requirements and placement frequency requirements to obtain the basic quotation; use the floating quotation rules and combine the basic quotation to obtain the floating quotation;

[0098] Output base quotes and floating quotes.

[0099] It should be noted that the purpose of outputting all the basic quotations and floating quotations in this embodiment is to provide salesmen with more comprehensive and more meaningful reference data for negotiation, and to help new salesmen make more reasonable judgments.

[0100] As a preferred implementation of this embodiment, the basic quotation formula and the floating quotation formula are used to calculate the basic quotation and the floating quotation respectively.

[0101] The basic quotation formula is:

[0102] P B =∑N i *P i_pos +∑T j *P j_freq

[0103] Among them, ∑N i *P i_pos is the sum of the prices of all placements based on placement demand, N i is the number of placement positions i, P i_pos is the price corresponding to placement position i, ∑T j *P j_freq is the sum of the prices corresponding to different delivery frequencies based on delivery frequency requirements, T j is the total duration of delivery corresponding to delivery frequency j, P j_freq is the price corresponding to the delivery frequency j, P B is the basic price calculated; in a simple example, if a user needs 1 advertising space on the homepage of a popular video website (10,000 yuan / piece), 2 advertising spaces on the information flow of a social media app (5,000 yuan / piece), and 3 advertising spaces on the product details page of an e-commerce platform (8,000 yuan / piece), then the corresponding ∑N i *P i_pos =1*10000+2*5000+3*8000=44000.

[0104] The floating quotation formula is as follows:

[0105] P F =(1+α)*P B

[0106] Among them, P B is the basic quotation in the previous text, P Fis the calculated floating quotation, α is the floating coefficient fitted in the floating quotation rule obtained by statistics of the historical advertising transaction prices negotiated by the salesperson in the actual advertising quotation, and in this embodiment, there are multiple floating coefficients corresponding to the quotation scenarios for the salesperson to choose. For example, if statistics are counted for many times, when a brand needs to place an advertisement, the salesperson learns that the brand will release a new product in the near future. The corresponding floating coefficient is 0.07, and the floating quotation at this time is 1.07*P B ; For example, in the quotation scenario after determining that a user is a long-term user, the corresponding floating coefficient is fitted to be -0.03, and the floating quotation at this time is 0.97*P B .

[0107] Based on the above, this embodiment realizes autonomous quotation through the basic quotation formula and the floating quotation formula.

[0108] Specifically, the process of generating an advertising delivery strategy includes:

[0109] Analyze advertising demand to obtain location and frequency requirements;

[0110] Calling the advertisement delivery strategy database, and matching the corresponding advertisement delivery strategy in the advertisement delivery strategy database based on the location delivery requirements and delivery frequency requirements;

[0111] The matched advertising delivery strategy is defined as a trial recommendation plan, and the quotation corresponding to the trial recommendation plan is defined as a trial quotation;

[0112] Output the recommended trial plan and the corresponding trial quotation.

[0113] It should be noted that the advertisement delivery strategy database of this embodiment is obtained by recording the history of satisfying the advertisement needs of users and combining the existing database technology. The matching method of the corresponding advertisement delivery strategy in this embodiment can be but not limited to comparing the similarity of the user's location delivery needs and delivery frequency needs to match.

[0114] Based on the above, this embodiment provides a data basis for autonomously generating advertising delivery strategies by constructing an advertising delivery strategy database, and is beneficial for inexperienced sales staff to expand their own reserves of advertising delivery strategies, and provides data references for verifying the rationality of trial recommendation plans by obtaining trial quotations.

[0115] Specifically, the process of generating an advertising delivery strategy also includes:

[0116] Get trial quotes and advertising funding;

[0117] A verification price is obtained based on floating quotation rules and trial quotations, and it is determined whether the deviation between the verification price and the advertising funds is less than or equal to a preset verification threshold. If so, a trial recommendation plan corresponding to the verification price and the trial quotation is output as the result of generating an advertising delivery strategy. Otherwise, a trial recommendation plan is regenerated until the difference between the verification price and the advertising funds is less than or equal to a preset verification threshold; wherein the verification threshold is used to limit the deviation between the verification price and the advertising funds.

[0118] It should be noted that this embodiment uses a deviation formula to calculate the deviation between the verification price and the advertising expense, wherein the deviation formula is specifically:

[0119]

[0120] Among them, α is the floating coefficient mentioned above, P E For trial quotation, P F is the advertising expenditure, and β is the calculated deviation.

[0121] Furthermore, the verification threshold of the present embodiment is an empirical value of the deviation in costs that users can afford obtained by the salesperson in actual advertising business. For example, if the verification threshold is 10%, when the advertising fund is 50,000 yuan, then a trial quotation of 45,000 yuan to 55,000 yuan can be output. The present embodiment is designed in this way to provide a flexibly adjustable margin for salespeople to promote advertising business.

[0122] Based on the above, this embodiment improves the quality of the generated advertisement delivery strategy by limiting the trial quotation.

[0123] Specifically, the method further includes:

[0124] S6: Generate a user transaction record based on the advertisement delivery record;

[0125] The transaction records are specifically details of user fees collected after each round of advertising.

[0126] Based on the above, this embodiment realizes a closed loop of data processing in the advertising industry through transaction records, providing data reference for settlement with users.

[0127] In a second aspect, this embodiment discloses Figure 2 A data processing system for the advertising industry is shown, and the system is applicable to the data processing method for the advertising industry as described above, and the system comprises:

[0128] A data acquisition module, wherein the data acquisition module is configured to: acquire any one or more of the advertisement content, advertisement demand and advertisement funds uploaded by the user;

[0129] A model acquisition module, the model acquisition module is configured to acquire a pre-trained advertising data processing model;

[0130] An audit module, the audit module is configured to utilize the advertisement data processing model and perform audit based on advertisement content;

[0131] A quotation module, the quotation module is configured to use the advertisement data processing model and make a quotation based on advertisement demand;

[0132] A strategy generation module, the strategy generation module is configured to generate an advertisement delivery strategy based on advertisement demand and advertisement funds by using an advertisement data processing model;

[0133] The advertising content includes any one or more of text ads, audio ads and video ads;

[0134] Advertising demand at least includes demand for placement location and frequency of placement;

[0135] Advertising expenses specifically refer to the amount of money that merchants use to place advertisements;

[0136] The advertising data processing model stores preset audit tools, audit expert database, quotation expert database and advertising delivery strategy database, and is configured to perform audit, quotation or generate advertising delivery strategy based on any one or more of advertising content, advertising demand and advertising funds;

[0137] The review expert database stores a variety of review rules; the review rules at least include sensitive word rules and prohibited image rules;

[0138] The quotation expert database stores a variety of quotation rules; the quotation rules at least include location charging rules, frequency charging rules and floating quotation rules;

[0139] The advertisement delivery strategy database stores a variety of advertisement delivery strategies; the advertisement delivery strategies are used to guide the delivery position and delivery frequency of advertisement contents.

[0140] It should be noted that the data processing system for the advertising industry of the present embodiment corresponds to the aforementioned data processing method for the advertising industry. Therefore, the parts that are not specifically described in the data processing system for the advertising industry, including but not limited to technical effects, specific technical means, etc., can be referred to the specific records in the aforementioned data processing method for the advertising industry, and this text will not go into details here.

[0141] In a third aspect, this embodiment discloses a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the data processing method for the advertising industry as described above is implemented.

[0142] Similarly, it should be noted that the computer-readable storage medium of this embodiment corresponds to the aforementioned data processing method for the advertising industry. Therefore, the parts that are not specifically described in the computer-readable storage medium, including but not limited to technical effects, specific technical means, etc., can be correspondingly referred to in the specific records in the aforementioned data processing method for the advertising industry, and this text will not go into details here.

[0143] In summary, the data processing method, system and storage medium for the advertising industry of this embodiment obtain advertising content, advertising demand and advertising funds, which provides a data basis for data processing using an advertising data processing model. The advertising data processing model provides a technical basis for realizing independent review, quotation and generating advertising delivery strategies, thereby optimizing and improving data processing in the advertising industry.

[0144] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0145] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A data processing method for the advertising industry, characterized in that: The method includes: S1: Obtain any one or more of the advertisement content, advertisement demand and advertisement funds uploaded by the user; S2: Obtain an advertising data processing model pre-trained by deep learning; S3: using the advertisement data processing model and conducting review based on the advertisement content; S4: using the advertisement data processing model and making a quotation based on the advertisement demand; S5: Generate an advertisement delivery strategy by using the advertisement data processing model and based on the advertisement demand and the advertisement funds; The advertising content includes any one or more of text advertising, audio advertising and video advertising; The advertising demand at least includes a placement location demand and a placement frequency demand; The advertising expenses are specifically the amount of money used by merchants to place advertisements; The advertising data processing model stores a preset audit tool, an audit expert database, a quotation expert database and an advertising delivery strategy database, and is configured to perform auditing, quotation or generate an advertising delivery strategy based on any one or more of the advertising content, the advertising demand and the advertising funds; The review expert database stores a variety of review rules; the review rules at least include sensitive word rules and prohibited image rules; The quotation expert database stores a plurality of quotation rules; the quotation rules at least include location charging rules, frequency charging rules and floating quotation rules; The advertisement delivery strategy database stores a plurality of advertisement delivery strategies and corresponding quotations; the advertisement delivery strategy is used to guide the delivery position and delivery frequency of the advertisement content.

2. The data processing method for the advertising industry according to claim 1, characterized in that: The process for conducting the review includes: Parsing the advertisement content and calling the corresponding review tool; Calling the review expert database, using the sensitive word rules and the prohibited image rules in combination with the review tool to review the advertisement content; When the review is passed, the advertisement content is output; When the audit fails, the position in the advertisement content that fails the audit is marked, and the position and the advertisement content are output.

3. The data processing method for the advertising industry according to claim 2, characterized in that: The review tools include a text review tool for reviewing the text advertisements, an audio review tool for reviewing the audio advertisements, and a video review tool for reviewing the video advertisements.

4. The data processing method for the advertising industry according to claim 1, characterized in that: The location charging rules store prices corresponding to different placement locations; The frequency charging rules store prices corresponding to different delivery frequencies; The floating quotation rule is obtained from the historical advertising transaction price and is used to limit the floating of the quotation.

5. The data processing method for the advertising industry according to claim 4, characterized in that: The process of making a quotation includes: Analyze the advertisement demand to obtain the delivery position demand and the delivery frequency demand; Calling the quotation expert database, using the location charging rule and the frequency charging rule in combination with the delivery location requirement and the delivery frequency requirement to obtain a basic quotation; using the floating quotation rule in combination with the basic quotation to obtain a floating quotation; The basic quotation and the floating quotation are output.

6. The data processing method for the advertising industry according to claim 5, characterized in that: The process of generating an advertisement delivery strategy includes: Analyze the advertisement demand to obtain the location delivery demand and the delivery frequency demand; Calling the advertisement delivery strategy database, and matching the corresponding advertisement delivery strategy in the advertisement delivery strategy database in combination with the location delivery requirement and the delivery frequency requirement; The advertisement delivery strategy obtained by matching is defined as a trial recommendation plan, and the quotation corresponding to the trial recommendation plan is defined as a trial quotation; Output the trial recommendation plan and the corresponding trial quotation.

7. The data processing method for the advertising industry according to claim 6, characterized in that: The process of generating an advertisement delivery strategy further includes: Obtaining the trial quotation and the advertising funds; A verification price is obtained based on the floating quotation rule and the trial quotation, and it is determined whether the deviation between the verification price and the advertising funds is less than or equal to a preset verification threshold. If so, a trial recommendation plan corresponding to the verification price and the trial quotation is output as the result of generating the advertising delivery strategy; otherwise, the trial recommendation plan is regenerated until the difference between the verification price and the advertising funds is less than or equal to a preset verification threshold; wherein the verification threshold is used to limit the deviation between the verification price and the advertising funds.

8. The data processing method for the advertising industry according to claim 1, characterized in that: The method further includes: S6: Generate a user transaction record based on the advertisement delivery record; The transaction record is specifically a detail of the user fees collected after each round of advertising.

9. A data processing system for the advertising industry, the system being applicable to the data processing method for the advertising industry as claimed in any one of claims 1 to 8, characterized in that: The system includes: A data acquisition module, wherein the data acquisition module is configured to: acquire any one or more of the advertisement content, advertisement demand and advertisement funds uploaded by the user; A model acquisition module, wherein the model acquisition module is configured to acquire a pre-trained advertising data processing model; An audit module, wherein the audit module is configured to perform an audit based on the advertisement content by using the advertisement data processing model; A quotation module, the quotation module being configured to make a quotation based on the advertisement demand by using the advertisement data processing model; A strategy generation module, wherein the strategy generation module is configured to generate an advertisement delivery strategy based on the advertisement demand and the advertisement funds by using the advertisement data processing model; The advertising content includes any one or more of text advertising, audio advertising and video advertising; The advertising demand at least includes a placement location demand and a placement frequency demand; The advertising expenses are specifically the amount of money used by merchants to place advertisements; The advertising data processing model stores a preset audit tool, an audit expert database, a quotation expert database and an advertising delivery strategy database, and is configured to perform auditing, quotation or generate an advertising delivery strategy based on any one or more of the advertising content, the advertising demand and the advertising funds; The review expert database stores a variety of review rules; the review rules at least include sensitive word rules and prohibited image rules; The quotation expert database stores a plurality of quotation rules; the quotation rules at least include location charging rules, frequency charging rules and floating quotation rules; The advertisement delivery strategy database stores a plurality of advertisement delivery strategies; the advertisement delivery strategy is used to guide the delivery position and delivery frequency of the advertisement content.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the data processing method for the advertising industry as described in any one of claims 1 to 8 is implemented.

Images