Live broadcast platform advertisement intelligent delivery system

Abstract

The invention relates to the technical field of intelligent advertisement putting, and discloses an intelligent advertisement putting system for a live broadcast platform, which comprises a big data analysis system, a machine learning algorithm, an advertisement content system, a real-time bidding technology, a live broadcast content quality guaranteeing system, an advertisement effect monitoring and optimizing system and a budgeting and scheduling management system. The big data analysis system is in communication connection with the machine learning algorithm, the machine learning algorithm is in communication connection with the advertisement content system, and the machine learning algorithm is in communication connection with the real-time bidding technology. The copyright protection can encourage the live broadcast to carry out research and development and innovation, thereby promoting the progress and economic growth of the live broadcast, and meanwhile, the investment can be attracted because investors know that their investments are protected by laws and are not illegally copied or pirated, so that the practicability of intelligent advertisement putting of the live broadcast platform is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent advertising delivery, and in particular to an intelligent advertising delivery system for a live broadcast platform. Background Art

[0002] Smart advertising can make simple analysis, induction, reasoning and judgment based on users’ media exposure habits, and then reasonably arrange the advertising release method to solve the problems of targeting, precision and efficiency that traditional advertising cannot solve. This means that advertisers can reach the target audience more accurately through smart delivery, increase the click-through rate and conversion rate of advertisements, and thus improve advertising effectiveness.

[0003] General smart delivery has problems such as uneven content quality and opaque data, which cannot ensure its authenticity and effectiveness. It is also prone to copyright issues, which will affect the credibility and reliability of data analysis. Summary of the invention

[0004] The purpose of the present invention is to provide a live broadcast platform advertising intelligent delivery system in order to solve the above-mentioned problems, thereby solving the problems mentioned in the background technology.

[0005] In order to solve the above problems, the present invention provides a technical solution:

[0006] A system for intelligent advertising delivery on a live broadcast platform includes a big data analysis system, a machine learning algorithm, an advertising content system, a real-time bidding technology, a system for ensuring the quality of live broadcast content, a system for monitoring and optimizing advertising effects, and a management system for budget and scheduling. The big data analysis system is communicatively connected to the machine learning algorithm, the machine learning algorithm is communicatively connected to the advertising content system, the machine learning algorithm is communicatively connected to the real-time bidding technology, the advertising content system is communicatively connected to the advertising effect monitoring and optimization system, and the advertising effect monitoring and optimization system is communicatively connected to the budget and scheduling management system.

[0007] As a preferred solution of the present invention, the big data analysis system includes a data acquisition module, a data preprocessing module, a data analysis module and a data interpretation module;

[0008] Data collection module: It is the starting point of big data analysis, which involves collecting and extracting useful data from various data sources, including databases, log files, social media, IoT devices, etc.

[0009] Data preprocessing module: deletes duplicate, invalid or erroneous data, then unifies data from different formats and standards, and merges data from different sources to form a complete data set;

[0010] Data analysis module: It is the core step of big data analysis. It uses statistics, machine learning, data mining and other technologies to conduct in-depth analysis and research on data. At this stage, specialized data analysis tools and software such as Python, R, SPSS, Tableau, etc. will be used to help conduct exploratory analysis and visualization of data.

[0011] Data interpretation module: After data analysis, the results need to be interpreted and applied, which includes converting the results of data analysis into insights and recommendations that are of practical significance to the business.

[0012] As a preferred solution of the present invention, the machine learning algorithm includes a feature engineering module, a model selection and training module, and an evaluation and optimization module;

[0013] Feature Engineering Module: Extract meaningful features from raw data, which will be used to train the model. Feature engineering includes selecting, creating, and transforming features.

[0014] Model selection and training module: According to the nature of the problem and the characteristics of the data, select the appropriate machine learning algorithm and use the training data set to train the model, that is, fit the data by minimizing the error, maximum likelihood or maximum a posteriori probability.

[0015] Evaluation and optimization module: Use the test data set to evaluate the performance of the model. Common evaluation indicators include accuracy, recall, F1 score, etc. Based on the evaluation results, the model can be optimized, such as adjusting parameters, trying different algorithms, or performing feature selection.

[0016] As a preferred solution of the present invention, the advertising content system includes an advertising plan creation unit and an advertising content production unit, wherein the advertising plan creation unit includes a target market research module, an advertising strategy formulation module, an advertising creative program writing module and an advertising media selection module;

[0017] Research target market module: clarify the goals and objectives of advertising, and understand the characteristics, needs, preferences, etc. of the target market;

[0018] Advertising strategy development module: Based on the research results of the target market and audience, develop a series of advertising strategies, including positioning, creativity, communication and other aspects;

[0019] Advertisement creative proposal writing module: attract audiences and deliver advertising information through creative content and images, and write creative advertising proposals based on advertising strategies and target market research results;

[0020] Select advertising media module: According to the advertising goals and audience characteristics, choose appropriate advertising media for advertising.

[0021] As a preferred solution of the present invention, the advertising content production unit includes a creative conception module, a design element production module and an effect evaluation and adjustment module;

[0022] Creative conception module: creative conception is carried out according to the advertising objectives and audience characteristics. It is necessary to give full play to creativity and show unique personality as much as possible;

[0023] Design element production module: According to the creative concept, specific design elements are produced, which includes sketching, prototyping, adjusting the design and other links;

[0024] Effect evaluation and adjustment module: Evaluate the effect of the advertisement, including the click-through rate, conversion rate and other aspects. If the effect is not ideal, timely adjustments need to be made.

[0025] As a preferred solution of the present invention, the real-time bidding technology includes providing an advertisement position module, a real-time bidding module and an advertisement display module;

[0026] Providing advertising space module: Advertising space suppliers are responsible for providing advertising space, including websites, apps, etc., and uploading advertising space information to the advertising trading platform;

[0027] Real-time bidding module: The advertising exchange platform conducts real-time bidding based on factors such as the advertiser's bid and the quality of the ad space;

[0028] Advertisement display module: When a user visits a web page, the ad exchange will display the most suitable advertisement to the user based on the bidding results.

[0029] As a preferred solution of the present invention, the system for ensuring the quality of live content includes a data transparency module, an enhanced anti-cheating module and an enhanced copyright protection module;

[0030] Data transparency module: Live streaming platforms should publicly display data such as the number of fans, viewing time, and gift rewards of anchors;

[0031] Strengthen the anti-cheating module: Strengthen technical means and algorithms to prevent malicious fan-brushing and false rewards, and maintain the industry ecology;

[0032] Strengthen the copyright protection module: Any infringement of others' copyrights should be severely punished to protect the rights and interests of creators and avoid copyright issues.

[0033] As a preferred solution of the present invention, the advertising effect monitoring and optimization system includes a live broadcast data collection module, a live broadcast data analysis module and a live broadcast data application module;

[0034] Live broadcast data collection module: collects advertising data, media data, user data, etc., which can be obtained through advertising platforms, media platforms, user clients, etc.;

[0035] Live broadcast data analysis module: understand the advertising effect, media value and other information by analyzing advertising data, including indicator selection, data visualization and statistical analysis;

[0036] Live broadcast data application module: Apply data analysis results to advertising delivery and management, including advertising optimization and advertising delivery decisions.

[0037] As a preferred solution of the present invention, the budget and scheduling management system includes an advertisement delivery optimization module, a budget verification and freezing module, a budget occupation and reversal module and a budget balance management module;

[0038] Advertisement delivery optimization module: The ad group selects the ad delivery optimization method, and the system will try to obtain as many corresponding results as possible as efficiently as possible;

[0039] Budget verification and freezing module: The business process flows to the budget verification point, and verification parameters are provided to the budget control platform. The budget control platform obtains the budget control strategy and budget available balance based on the relevant parameters and compares them with the business data.

[0040] Budget occupation and reversal module: For frozen business documents, if they are approved, the business system will transmit the frozen data information to the budget control platform to release the budget and convert it into occupied budget;

[0041] Budget balance management module: The budget balance table records the summary of budget execution, which allows you to intuitively see the budget balance, occupied balance, etc., and also provides basic balance data for budget control services.

[0042] The beneficial effects of the present invention are: by setting up a system to ensure the quality of live broadcast content, it is ensured that users can clearly understand the entire process of data analysis. Copyright protection can encourage live broadcasting to conduct research and development and innovation, thereby promoting live broadcasting progress and economic growth. At the same time, it can also attract investment, because investors know that their investments are protected by law and will not be illegally copied or pirated, thereby improving the practicality of intelligent advertising delivery on live broadcast platforms. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] For ease of explanation, the present invention is described in detail with reference to the following specific implementations and the accompanying drawings.

[0044] Figure 1 It is a flow chart of intelligent advertising delivery of the present invention. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0046] Embodiment 1:

[0047] See also Figure 1 The present invention provides a technical solution: a live broadcast platform advertising intelligent delivery system, including a big data analysis system, a machine learning algorithm, an advertising content system, a real-time bidding technology, a live broadcast content quality assurance system, an advertising effect monitoring and optimization system, and a budget and scheduling management system. The big data analysis system and the machine learning algorithm are communicated and connected, the machine learning algorithm and the advertising content system are communicated and connected, the machine learning algorithm and the real-time bidding technology are communicated and connected, the advertising content system and the advertising effect monitoring and optimization system are communicated and connected, and the advertising effect monitoring and optimization system and the budget and scheduling management system are communicated and connected.

[0048] Embodiment 2:

[0049] The big data analysis system includes data acquisition module, data preprocessing module, data analysis module and data interpretation module; data acquisition module: it is the starting point of big data analysis, which involves collecting and extracting useful data from various data sources, including databases, log files, social media, IoT devices, etc.; data preprocessing module: deletes duplicate, invalid or erroneous data, and then unifies the data from different formats and standards, merges data from different sources to form a complete data set; data analysis module: it is the core step of big data analysis, and conducts in-depth analysis and research on data through statistics, machine learning, data mining and other technologies. At this stage, specialized data analysis tools and software, such as Python, R, SPSS, Tableau, etc., will be used to help with exploratory analysis and visualization of data; data interpretation module: after data analysis, the results need to be interpreted and applied, which includes converting the results of data analysis into insights and suggestions that are of practical significance to the business.

[0050] The big data analysis process includes data collection, data cleaning, data storage, data mining and analysis, result visualization and interpretation, and result application and evaluation. These steps are interrelated and indispensable. Through a reasonable big data analysis process, organizations can gain more business insights and improve the accuracy and efficiency of decision-making.

[0051] Embodiment 3:

[0052] The machine learning algorithm includes feature engineering module, model selection and training module, and evaluation and optimization module; Feature engineering module: extract meaningful features from the raw data, which will be used to train the model. Feature engineering includes selecting, creating, and transforming features; Model selection and training module: select a suitable machine learning algorithm based on the nature of the problem and the characteristics of the data, and use the training data set to train the model, that is, fit the data by minimizing the error, maximum likelihood, or maximum a posteriori probability; Evaluation and optimization module: use the test data set to evaluate the performance of the model. Common evaluation indicators include accuracy, recall, F1 score, etc. According to the evaluation results, the model can be optimized, such as adjusting parameters, trying different algorithms, or performing feature selection.

[0053] The learning process of machine learning algorithms also involves the steps of mastering classic algorithms, understanding algorithm codes, trying to implement algorithms by yourself, and improving algorithms based on other people's literature. In practical applications, it is also necessary to consider how to apply machine learning algorithms to specific problems, such as image and speech recognition, natural language processing, and recommendation systems.

[0054] Embodiment 4:

[0055] The advertising content system includes the creation unit of advertising plan and the production unit of advertising content. The creation unit of advertising plan includes the module of researching target market, formulating advertising strategy, writing advertising creative plan and selecting advertising media; the module of researching target market: clarifying the goal and purpose of advertising, understanding the characteristics, needs and preferences of target market; the module of formulating advertising strategy: formulating a series of advertising strategies according to the research results of target market and audience, including positioning, creativity, communication and other aspects; the module of writing advertising creative plan: attracting audience and delivering advertising information through creative content and image, and writing creative advertising creative plan according to the research results of advertising strategy and target market; Advertisement media selection module: select appropriate advertisement media for advertising according to advertisement objectives and audience characteristics; advertisement content production unit includes creative conception module, design element production module and effect evaluation and adjustment module; creative conception module: conduct creative conception according to advertisement objectives and audience characteristics, and give full play to creativity and show unique personality as much as possible; design element production module: conduct specific design element production according to creative conception, which includes sketching, prototyping, adjusting design and other links; effect evaluation and adjustment module: evaluate the effect of advertisement, which includes multiple aspects such as click-through rate and conversion rate of advertisement. If the effect is not ideal, timely adjustment is required.

[0056] It has the ability to display advertising content in designated locations and time periods according to the delivery plan set by the advertiser. It can accurately match and target advertising content based on audience characteristics and delivery locations, monitor advertising delivery effects in real time, including exposure, click-through rate and other indicators, and provide data reports for advertisers to view.

[0057] Embodiment 5:

[0058] Real-time bidding technology includes providing ad space module, real-time bidding module and ad display module; providing ad space module: ad space suppliers are responsible for providing ad space, including websites, apps, etc., and uploading ad space information to the ad trading platform; real-time bidding module: the ad trading platform conducts real-time bidding based on factors such as the advertiser's bid and the quality of the ad space; ad display module: when a user visits a web page, the ad trading platform will display the most suitable ad to the user based on the bidding results.

[0059] Through real-time bidding, advertisers can place ads more accurately, increase ad exposure and conversion rates, and save advertising budgets. Ad space providers can also obtain higher advertising revenue through real-time bidding. The real-time bidding process makes advertising transactions more efficient and intelligent, providing advertisers and ad space providers with a better advertising transaction experience.

[0060] Embodiment 6:

[0061] The system for ensuring the quality of live broadcast content includes data transparency module, enhanced anti-cheating module and enhanced copyright protection module; data transparency module: the live broadcast platform should publicly display data such as the number of fans, viewing time and gift rewards of the anchor; enhanced anti-cheating module: strengthen technical means and algorithms to prevent malicious fan brushing and false rewards, and maintain the industry ecology; enhanced copyright protection module: any infringement of others' copyrights should be severely cracked down on to protect the rights and interests of creators and avoid the occurrence of copyright issues.

[0062] Improve the data openness collection mechanism, standardize the data openness operating procedures, and establish a data openness supervision mechanism. The activities involve multiple cooperative institutions or organizations, establish a coordination mechanism, share information, jointly supervise and detect cheating behavior, continuously monitor works, send removal notices to infringing websites, and regularly provide monitoring reports. The report content includes the spread of works on the monitored websites, the sending of removal notices, and the deletion of infringing links.

[0063] Embodiment 7:

[0064] The advertising effect monitoring and optimization system includes a live broadcast data collection module, a live broadcast data analysis module and a live broadcast data application module; the live broadcast data collection module collects advertising data, media data, user data, etc., which can be obtained through advertising delivery platforms, media platforms, user clients, etc.; the live broadcast data analysis module analyzes advertising data to understand information such as advertising delivery effects and media value, including indicator selection, data visualization and statistical analysis; the live broadcast data application module applies data analysis results to advertising delivery and management, including advertising optimization and advertising delivery decisions.

[0065] Key indicators include click-through rate, conversion rate, average order value, and the ratio of advertising costs to sales. By regularly monitoring these indicators, you can understand the effectiveness of advertising and identify areas for improvement. Tools provided by the advertising platform, such as advertising reports and search term reports, can provide detailed data on advertising operations and performance, help understand the effectiveness of advertising, and optimize the selection of advertising keywords.

[0066] Embodiment 8:

[0067] The budget and scheduling management system includes an advertising delivery optimization module, a budget verification and freezing module, a budget occupancy and reversal module, and a budget balance management module; Advertising delivery optimization module: When the advertising group selects an advertising delivery optimization method, the system will try its best to obtain as many corresponding results as possible; Budget verification and freezing module: The business process flows to the budget verification point, and provides verification parameters to the budget control platform. The budget control platform obtains the budget control strategy and the available budget balance based on the relevant parameters, and compares them with the business data; Budget occupancy and reversal module: For frozen business documents, if they are approved, the business system will transmit the frozen data information to the budget control platform to release the budget and convert it into an occupied budget; Budget balance management module: The budget balance table records the budget execution summary, and you can intuitively see the budget balance, occupied balance, etc., and it also provides basic balance data for the budget control service.

[0068] The steps include determining budget targets, preparing budget drafts, summarizing and approving budgets. After the budget is approved, it enters the implementation phase, which includes actual financial operations in accordance with the budget plan to ensure that all revenue and expenditure activities meet budget requirements. During the budget implementation process, the budget may need to be adjusted. At the end of the budget cycle, the budget execution of each unit is assessed, which includes evaluation and analysis of budget execution results, as well as performance appraisal based on execution. Scheduling management involves the planning of projects or activities, including the start and end time of the project, the setting of key milestones, etc.

[0069] To sum up: the big data analysis process includes data collection, data cleaning, data storage, data mining and analysis, result visualization and interpretation, and result application and evaluation. These steps are interrelated and indispensable. Through a reasonable big data analysis process, organizations can gain more business insights and improve the accuracy and efficiency of decision-making. The learning process of machine learning algorithms also involves mastering classic algorithms, understanding algorithm codes, trying to implement algorithms by yourself, and improving algorithms based on other people's literature. In practical applications, it is also necessary to consider how to apply machine learning algorithms to specific problems, such as image and voice recognition, natural language processing, recommendation systems, etc. It has the ability to display advertising content in specified locations and time periods according to the delivery plan set by advertisers, and can accurately match and target advertising content according to audience characteristics and delivery locations. It monitors the effectiveness of advertising delivery in real time, including indicators such as exposure and click-through rate, and provides data reports for advertisers to view. Through real-time bidding, advertisers can deliver advertisements more accurately, improve advertising exposure and conversion rates, and save advertising budgets. Ad space suppliers can also obtain higher advertising revenue through real-time bidding. The real-time bidding process makes advertising transactions more efficient and intelligent, providing advertisers and ad space suppliers with a better advertising transaction experience, improving the data openness collection mechanism, standardizing data openness operating procedures, and establishing a data openness supervision mechanism. The activities involve multiple cooperative institutions or organizations, establish a collaborative mechanism, share information, jointly supervise and detect cheating, continuously monitor works, send removal notices to infringing websites, and regularly provide monitoring. Monitoring reports include the spread of works on monitoring websites, the sending of removal notices, and the deletion of infringing links. Key indicators include click-through rate, conversion rate, average order price, and advertising cost-to-sales ratio. By regularly monitoring these indicators, you can understand the effectiveness of advertising and find out where improvements are needed. Tools provided by the advertising platform, such as advertising reports and search term reports, can provide detailed data on advertising operations and performance, help understand the effectiveness of advertising, and optimize the selection of advertising keywords. Steps include determining budget targets, preparing budget drafts, summarizing and approving budgets. After the budget is approved, it enters the execution stage, which includes actual financial operations in accordance with the budget plan to ensure that various income and expenditure activities meet budget requirements. During the budget execution process, the budget may need to be adjusted. At the end of the budget cycle, the budget execution of each unit is assessed, which includes evaluation and analysis of budget execution results, as well as performance appraisal based on execution. Scheduling management involves the planning of projects or activities, including the start and end times of projects, and the setting of key milestones.

[0070] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A live broadcast platform advertising intelligent delivery system, characterized in that: It includes a big data analysis system, a machine learning algorithm, an advertising content system, a real-time bidding technology, a system for ensuring the quality of live content, an advertising effect monitoring and optimization system, and a budget and scheduling management system. The big data analysis system is communicatively connected to the machine learning algorithm, the machine learning algorithm is communicatively connected to the advertising content system, the machine learning algorithm is communicatively connected to the real-time bidding technology, the advertising content system is communicatively connected to the advertising effect monitoring and optimization system, and the advertising effect monitoring and optimization system is communicatively connected to the budget and scheduling management system.

2. According to claim 1, a live broadcast platform advertising intelligent delivery system is characterized in that: The big data analysis system includes a data acquisition module, a data preprocessing module, a data analysis module and a data interpretation module; Data collection module: It is the starting point of big data analysis, which involves collecting and extracting useful data from various data sources, including databases, log files, social media, IoT devices, etc. Data preprocessing module: deletes duplicate, invalid or erroneous data, then unifies data from different formats and standards, and merges data from different sources to form a complete data set; Data analysis module: It is the core step of big data analysis. It uses statistics, machine learning, data mining and other technologies to conduct in-depth analysis and research on data. At this stage, specialized data analysis tools and software such as Python, R, SPSS, Tableau, etc. will be used to help conduct exploratory analysis and visualization of data. Data interpretation module: After data analysis, the results need to be interpreted and applied, which includes converting the results of data analysis into insights and recommendations that are of practical significance to the business.

3. According to claim 1, a live broadcast platform advertising intelligent delivery system is characterized in that: The machine learning algorithm includes a feature engineering module, a model selection and training module, and an evaluation and optimization module; Feature Engineering Module: Extract meaningful features from raw data, which will be used to train the model. Feature engineering includes selecting, creating, and transforming features. Model selection and training module: According to the nature of the problem and the characteristics of the data, select the appropriate machine learning algorithm and use the training data set to train the model, that is, fit the data by minimizing the error, maximum likelihood or maximum a posteriori probability. Evaluation and optimization module: Use the test data set to evaluate the performance of the model. Common evaluation indicators include accuracy, recall, F1 score, etc. Based on the evaluation results, the model can be optimized, such as adjusting parameters, trying different algorithms, or performing feature selection.

4. The intelligent advertising delivery system for a live broadcast platform according to claim 1, characterized in that: The advertising content system includes an advertising plan creation unit and an advertising content production unit. The advertising plan creation unit includes a target market research module, an advertising strategy formulation module, an advertising creative program writing module and an advertising media selection module. Research target market module: clarify the goals and objectives of advertising, and understand the characteristics, needs, preferences, etc. of the target market; Advertising strategy development module: Based on the research results of the target market and audience, develop a series of advertising strategies, including positioning, creativity, communication and other aspects; Advertisement creative proposal writing module: attract audiences and deliver advertising information through creative content and images, and write creative advertising proposals based on advertising strategies and target market research results; Select advertising media module: According to the advertising goals and audience characteristics, choose appropriate advertising media for advertising.

5. The intelligent advertising delivery system for a live broadcast platform according to claim 4, characterized in that: The production unit of the advertising content includes a creative conception module, a design element production module and an effect evaluation and adjustment module; Creative conception module: creative conception is carried out according to the advertising objectives and audience characteristics. It is necessary to give full play to creativity and show unique personality as much as possible; Design element production module: According to the creative concept, specific design elements are produced, which includes sketching, prototyping, adjusting the design and other links; Effect evaluation and adjustment module: Evaluate the effect of the advertisement, including the click-through rate, conversion rate and other aspects. If the effect is not ideal, timely adjustments need to be made.

6. The intelligent advertising delivery system for a live broadcast platform according to claim 1, characterized in that: The real-time bidding technology includes providing an advertisement position module, a real-time bidding module and an advertisement display module; Providing advertising space module: Advertising space suppliers are responsible for providing advertising space, including websites, apps, etc., and uploading advertising space information to the advertising trading platform; Real-time bidding module: The advertising exchange platform conducts real-time bidding based on factors such as the advertiser's bid and the quality of the ad space; Advertisement display module: When a user visits a web page, the ad exchange will display the most suitable advertisement to the user based on the bidding results.

7. The intelligent advertising delivery system for a live broadcast platform according to claim 1, characterized in that: The live broadcast content quality assurance system includes a data transparency module, an enhanced anti-cheating module, and an enhanced copyright protection module; Data transparency module: Live streaming platforms should publicly display data such as the number of fans, viewing time, and gift rewards of anchors; Strengthen the anti-cheating module: Strengthen technical means and algorithms to prevent malicious fan-brushing and false rewards, and maintain the industry ecology; Strengthen the copyright protection module: Any infringement of others' copyrights should be severely punished to protect the rights and interests of creators and avoid copyright issues.

8. The intelligent advertising delivery system for a live broadcast platform according to claim 1, characterized in that: The advertising effect monitoring and optimization system includes a live broadcast data collection module, a live broadcast data analysis module and a live broadcast data application module; Live broadcast data collection module: collects advertising data, media data, user data, etc., which can be obtained through advertising platforms, media platforms, user clients, etc.; Live broadcast data analysis module: understand the advertising effect, media value and other information by analyzing advertising data, including indicator selection, data visualization and statistical analysis; Live broadcast data application module: Apply data analysis results to advertising delivery and management, including advertising optimization and advertising delivery decisions.

9. The intelligent advertising delivery system for a live broadcast platform according to claim 1, characterized in that: The budget and scheduling management system includes an advertising delivery optimization module, a budget verification and freezing module, a budget occupation and reversal module, and a budget balance management module; Advertisement delivery optimization module: The ad group selects the ad delivery optimization method, and the system will try to obtain as many corresponding results as possible as efficiently as possible; Budget verification and freezing module: The business process flows to the budget verification point, and verification parameters are provided to the budget control platform. The budget control platform obtains the budget control strategy and budget available balance based on the relevant parameters and compares them with the business data. Budget occupation and reversal module: For frozen business documents, if they are approved, the business system will transmit the frozen data information to the budget control platform to release the budget and convert it into occupied budget; Budget balance management module: The budget balance table records the summary of budget execution, which allows you to intuitively see the budget balance, occupied balance, etc., and also provides basic balance data for budget control services.

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