Method, device and system for inserting audio advertisements

Abstract

The present application discloses a method, device and system for inserting audio advertisements, which relate to the field of intelligent inserting audio advertisements. The method includes a data collection and analysis module, an advertisement selection strategy module and a comprehensive analysis module. By acquiring and systematically analyzing the historical listening information of target users, the listening habits of target users are effectively analyzed, thereby indirectly improving the accuracy and effectiveness of inserting audio advertisements. By analyzing and comparing the programs to be played corresponding to the target users, the reliability of inserting audio advertisements for the target users is further improved, thereby enhancing the targeted nature of advertisement delivery.

Description

Technical Field

[0001] The present application relates to the field of intelligent audio advertising insertion, and in particular to a method, device and system for inserting audio advertising. Background Art

[0002] Traditional radio advertising struggles to accurately target listeners. Broadcast media can typically only roughly categorize audiences based on program type, failing to gain a deep understanding of each listener's specific characteristics, interests, hobbies, and consumer behaviors. This results in poorly targeted advertising and ineffective results. For example, ads for products aimed at young, fashionable audiences may be broadcast to older listeners who have a lower willingness to purchase the product, resulting in a waste of advertising resources. Existing technologies also have the following shortcomings:

[0003] Existing technologies have difficulty accurately targeting listeners when making advertising recommendations. They usually only play according to a fixed broadcast schedule and are unable to gain in-depth understanding of each listener's specific characteristics, interests, hobbies, consumption behaviors, and other information. This leads to poorly targeted advertising, which in turn reduces the accuracy of advertising, easily leads to a waste of advertising resources, and inhibits the development of the advertising industry. Summary of the Invention

[0004] The object of the present invention is to provide a method, device and system for inserting audio advertisements to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solution: a system for inserting audio advertisements, comprising:

[0006] Data collection and analysis module: used to obtain the basic information of the target user and the audio advertisement information in the audio database, and perform preliminary matching analysis to obtain the preliminary matching audio advertisement set corresponding to the target user;

[0007] Advertisement selection strategy module: used to comprehensively analyze the basic information of the target user and the preliminary matching audio advertisement set corresponding to the target user, and obtain the priority audio advertisement reference set corresponding to the target user;

[0008] The comprehensive analysis module is used to conduct a comprehensive analysis on the priority audio advertisement reference set corresponding to the target user to obtain the interstitial advertisement result corresponding to the target user.

[0009] In the preferred embodiment of this solution, the specific implementation of the data collection and analysis module is as follows:

[0010] Obtain the target user's data access rights for the corresponding audio platform. By obtaining the target user's data access rights for the corresponding audio platform, obtain the target user's basic information when registering on the corresponding audio platform, including age, gender, and historical listening data set;

[0011] Obtaining audio advertisement information from an audio database corresponding to the audio platform, wherein the audio advertisement information in the audio database includes the number, type, standard duration, and audience group corresponding to each audio advertisement, wherein the audience group refers to the age and gender of the listeners;

[0012] The age and gender corresponding to the target user are compared and matched with the audience groups corresponding to each audio advertisement in the audio database to obtain each audio advertisement whose age and gender corresponding to the target user match the audience groups, and each audio advertisement that matches the age and gender corresponding to the target user is recorded as a preliminary matching audio advertisement set corresponding to the target user.

[0013] In the preferred embodiment of this solution, the specific implementation of the advertisement selection strategy module is as follows:

[0014] The target user's corresponding historical listening data set includes each historical listening record of the target user on the corresponding audio platform, the listening time period corresponding to each historical listening, the listening duration and content information of each historical listening time period, wherein the content information includes program information and audio advertisement information corresponding to each historical listening time period;

[0015] Establishing a data extraction relationship between the advertisement selection strategy module and the program database to extract the program play log stored in the database, wherein the program play log includes the program type, program number, standard duration and play time period corresponding to each program;

[0016] The program information includes the number of programs, the listening time of each program, and the program number of each program; the advertisement information includes the number of audio advertisements, the listening time of each audio advertisement, and the number of each audio advertisement; the type and standard duration of each audio advertisement corresponding to each historical listening period are obtained by filtering the corresponding numbers of each audio advertisement in the audio database; and the type, standard duration, and broadcast period of each program corresponding to each historical listening period are obtained by filtering the corresponding program numbers of each program in each historical listening period;

[0017] Compare and screen the program information of each historical listening period with the program playback log to obtain the listening coefficient corresponding to each program in each historical listening period = the listening time corresponding to each program / the standard time corresponding to each program; compare the listening coefficient corresponding to each program in each historical listening period with a preset standard listening coefficient; record each program in each historical listening period with a listening coefficient less than the preset standard listening coefficient as an invalid listening program; record each program in each historical listening period with a listening coefficient greater than or equal to the preset standard listening coefficient as a valid listening program; and screen to obtain each invalid listening program and each valid listening program corresponding to each historical listening period;

[0018] Compare and screen the data of each effectively listened program corresponding to each historical listening period with the program playback log to obtain the program type corresponding to each effectively listened program, each effectively listened program that was fully listened to, and each effectively listened program that was incompletely listened to; and analyze the program type corresponding to each effectively listened program, each effectively listened program that was fully listened to, and each effectively listened program that was incompletely listened to to obtain the number of effectively listened programs corresponding to each program type corresponding to each historical listening period, the total effective listening time of the effectively listened programs corresponding to each program type, and the number of completely listened programs and incompletely listened programs corresponding to each program type;

[0019] By calculating the formula , calculate the first recommendation coefficient of each program type corresponding to each historical listening period ; By calculating the formula , calculate the second recommendation coefficient of each program type corresponding to each historical listening period ,in Indicates the number corresponding to each historical listening period, Indicates the number corresponding to each program type. Expressed as the number of program types, It is expressed as the number of effective listening programs corresponding to each program type in each historical listening period. It is expressed as the number of complete listening programs of each program type in each historical listening period. It is represented by the number of incomplete listening programs of each program type in each historical listening period. It is expressed as the total effective listening time of each program type and effective listening program in each historical listening period. Expressed as the listening time of each historical listening period; calculated by the formula , calculate the comprehensive recommendation coefficient of each program type ,in Expressed as the number of historical listening time periods; comparing and analyzing the comprehensive recommendation coefficient of each program type with a preset comprehensive recommendation coefficient threshold, screening each program type that is greater than the comprehensive recommendation coefficient threshold and recording them as each effective comparison program type, performing data statistics on the effective comparison program types corresponding to each historical listening time period, obtaining the appearance ratio of each effective comparison program type in each historical listening time period corresponding to the target user, comparing the appearance ratio of each effective comparison program type in each historical listening time period corresponding to the target user with a preset ratio threshold, screening each program type that is greater than the ratio threshold and recording them as each reference program type corresponding to the target user, recording each reference program type corresponding to the target user as the priority audio advertisement reference set corresponding to the target user, and calculating and obtaining the average comprehensive recommendation coefficient of each reference program type corresponding to the target user. .

[0020] In the preferred embodiment of this solution, the specific implementation of the comprehensive analysis module is as follows:

[0021] Compare and screen the audio advertisement information of each historical listening period with the audio advertisement information in the audio database to obtain the listening coefficient corresponding to each audio advertisement in each historical listening period = the listening time corresponding to each audio advertisement / the standard listening time corresponding to each audio advertisement; compare the listening coefficient corresponding to each audio advertisement in each historical listening period with a preset standard listening coefficient; record each audio advertisement in each historical listening period with a listening coefficient less than the preset standard listening coefficient as an invalid listening audio advertisement; record each audio advertisement in each historical listening period with a listening coefficient greater than or equal to the preset standard listening coefficient as a valid listening audio advertisement; and screen to obtain each invalid listening audio advertisement and each valid listening audio advertisement corresponding to each historical listening period;

[0022] Compare and screen the data of each effectively listened audio advertisement corresponding to each historical listening period with the audio advertisement playback log to obtain the audio advertisement type corresponding to each effectively listened audio advertisement, each effectively listened audio advertisement listened to completely, and each effectively listened audio advertisement listened to incompletely; and analyze the audio advertisement type corresponding to each effectively listened audio advertisement, each effectively listened audio advertisement listened to completely, and each effectively listened audio advertisement listened to incompletely to obtain the number of effectively listened audio advertisements corresponding to each audio advertisement type corresponding to each historical listening period, the total effective listening time of the effectively listened audio advertisements corresponding to each audio advertisement type, and the number of completely listened audio advertisements and incompletely listened audio advertisements corresponding to each audio advertisement type;

[0023] By calculating the formula , calculate the comprehensive recommendation coefficient of each audio advertising type ,in Indicates the number corresponding to each historical listening period, It is represented by the number of effective audio ads listened to for each audio ad type during each historical listening period. It is represented by the number of complete audio ads listened to for each audio ad type in each historical listening period. It is represented by the number of incomplete audio ads listened to for each audio ad type in each historical listening period. It is represented by the total effective listening time of each audio advertisement type in each historical listening period. Expressed as a natural constant; establishing a data extraction relationship between the comprehensive analysis module and the database, extracting the correlation coefficient between various types of programs and various types of audio advertisements stored in the database;

[0024] By calculating the formula ,, calculate the combined recommendation coefficients of various types of programs and various types of audio advertisements for target users ,in Expressed as the correlation coefficient between each type of program and each type of audio advertisement; obtain the start listening time corresponding to the target user, perform data screening through the start listening time corresponding to the target user and the program playback log to obtain the program list corresponding to the target user, screen and obtain each reference program and program type of each reference program in the program list corresponding to the target user, obtain the combination recommendation coefficient of each reference program type and each type of audio advertisement in the program list by screening and calculating the program type of each reference program in the program list, compare the combination recommendation coefficient of each reference program type and each type of audio advertisement in the program list with a preset combination recommendation coefficient threshold, screen each type of audio advertisement greater than the combination recommendation coefficient threshold, record each type of audio advertisement greater than the combination recommendation coefficient threshold as the target user corresponding to the inserted advertisement result, arrange each type of audio advertisement greater than the combination recommendation coefficient threshold from large to small according to the combination recommendation coefficient and insert them in a loop in sequence.

[0025] To achieve the above-mentioned purpose, the present invention also provides the following technical solution: a device for inserting audio advertisements, comprising a processor, a memory and a communication bus, wherein the memory stores a computer-readable program that can be executed by the processor, and the communication bus realizes the connection and communication between the processor and the memory, and when the processor executes the computer-readable program, it realizes a system for inserting audio advertisements as described in any one of the present inventions.

[0026] To achieve the above object, the present invention further provides the following technical solution: a method for inserting audio advertisements, comprising the following steps:

[0027] Obtain the target user's basic information and the audio advertisement information in the audio database, and perform preliminary matching analysis to obtain a preliminary matching audio advertisement set corresponding to the target user;

[0028] Comprehensively analyze the target user's basic information and the preliminary matching audio advertisement set corresponding to the target user to obtain a priority audio advertisement reference set corresponding to the target user;

[0029] A comprehensive analysis is performed on the priority audio advertisement reference set corresponding to the target user to obtain the interstitial advertisement results corresponding to the target user.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] The present invention obtains and systematically analyzes the historical listening information of the target user, effectively analyzes the listening habits of the target user, and indirectly improves the accuracy and effectiveness of the inserted audio advertisements. By analyzing and comparing the programs to be played corresponding to the target user, the reliability of the inserted audio advertisements for the target user is further improved, and the targeted nature of the advertisement delivery is enhanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative effort.

[0033] Figure 1 This is a schematic diagram of module connections according to an embodiment of the present invention.

[0034] Figure 2 This is a schematic diagram of the connection steps of an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0036] See also Figure 1 The present invention provides a system for inserting audio advertisements, including a data collection and analysis module, an advertisement selection strategy module and a comprehensive analysis module.

[0037] Data collection and analysis module: used to obtain the basic information of the target user and the audio advertisement information in the audio database, and perform preliminary matching analysis to obtain the preliminary matching audio advertisement set corresponding to the target user;

[0038] Furthermore, the specific execution method of the data collection and analysis module is as follows:

[0039] Obtain the target user's data access rights for the corresponding audio platform. By obtaining the target user's data access rights for the corresponding audio platform, obtain the target user's basic information when registering on the corresponding audio platform, including age, gender, and historical listening data set;

[0040] Obtaining audio advertisement information from an audio database corresponding to the audio platform, wherein the audio advertisement information in the audio database includes the number, type, standard duration, and audience group corresponding to each audio advertisement, wherein the audience group refers to the age and gender of the listeners;

[0041] The age and gender corresponding to the target user are compared and matched with the audience groups corresponding to each audio advertisement in the audio database to obtain each audio advertisement whose age and gender corresponding to the target user match the audience groups, and each audio advertisement that matches the age and gender corresponding to the target user is recorded as a preliminary matching audio advertisement set corresponding to the target user.

[0042] Advertisement selection strategy module: used to comprehensively analyze the basic information of the target user and the preliminary matching audio advertisement set corresponding to the target user, and obtain the priority audio advertisement reference set corresponding to the target user;

[0043] Furthermore, the specific implementation of the advertisement selection strategy module is as follows:

[0044] The target user's corresponding historical listening data set includes each historical listening record of the target user on the corresponding audio platform, the listening time period corresponding to each historical listening, the listening duration and content information of each historical listening time period, wherein the content information includes program information and audio advertisement information corresponding to each historical listening time period;

[0045] Establishing a data extraction relationship between the advertisement selection strategy module and the program database to extract the program play log stored in the database, wherein the program play log includes the program type, program number, standard duration and play time period corresponding to each program;

[0046] The program information includes the number of programs, the listening time of each program, and the program number of each program; the advertisement information includes the number of audio advertisements, the listening time of each audio advertisement, and the number of each audio advertisement; the type and standard duration of each audio advertisement corresponding to each historical listening period are obtained by filtering the corresponding numbers of each audio advertisement in the audio database; and the type, standard duration, and broadcast period of each program corresponding to each historical listening period are obtained by filtering the corresponding program numbers of each program in each historical listening period;

[0047] Compare and screen the program information of each historical listening period with the program playback log to obtain the listening coefficient corresponding to each program in each historical listening period = the listening time corresponding to each program / the standard time corresponding to each program; compare the listening coefficient corresponding to each program in each historical listening period with a preset standard listening coefficient; record each program in each historical listening period with a listening coefficient less than the preset standard listening coefficient as an invalid listening program; record each program in each historical listening period with a listening coefficient greater than or equal to the preset standard listening coefficient as a valid listening program; and screen to obtain each invalid listening program and each valid listening program corresponding to each historical listening period;

[0048] Compare and screen the data of each effectively listened program corresponding to each historical listening period with the program playback log to obtain the program type corresponding to each effectively listened program, each effectively listened program that was fully listened to, and each effectively listened program that was incompletely listened to; and analyze the program type corresponding to each effectively listened program, each effectively listened program that was fully listened to, and each effectively listened program that was incompletely listened to to obtain the number of effectively listened programs corresponding to each program type corresponding to each historical listening period, the total effective listening time of the effectively listened programs corresponding to each program type, and the number of completely listened programs and incompletely listened programs corresponding to each program type;

[0049] By calculating the formula , calculate the first recommendation coefficient of each program type corresponding to each historical listening period ; By calculating the formula , calculate the second recommendation coefficient of each program type corresponding to each historical listening period ,in Indicates the number corresponding to each historical listening period, Indicates the number corresponding to each program type. Expressed as the number of program types, It is expressed as the number of effective listening programs corresponding to each program type in each historical listening period. It is expressed as the number of complete listening programs of each program type in each historical listening period. It is represented by the number of incomplete listening programs of each program type in each historical listening period. It is expressed as the total effective listening time of each program type and effective listening program in each historical listening period. Expressed as the listening time of each historical listening period; calculated by the formula , calculate the comprehensive recommendation coefficient of each program type ,in Expressed as the number of historical listening sessions;

[0050] Compare and analyze the comprehensive recommendation coefficient of each program type with the preset comprehensive recommendation coefficient threshold, screen out each program type that is greater than the comprehensive recommendation coefficient threshold, record them as each effective comparison program type, perform data statistics on the effective comparison program types corresponding to each historical listening period, obtain the appearance ratio of each effective comparison program type in each historical listening period corresponding to the target user, compare the appearance ratio of each effective comparison program type in each historical listening period corresponding to the target user with the preset ratio threshold, screen out each program type that is greater than the ratio threshold and record them as each reference program type corresponding to the target user, record each reference program type corresponding to the target user as the priority audio advertisement reference set corresponding to the target user, and calculate and obtain the average comprehensive recommendation coefficient of each reference program type corresponding to the target user. .

[0051] The comprehensive analysis module is used to conduct a comprehensive analysis on the priority audio advertisement reference set corresponding to the target user to obtain the interstitial advertisement result corresponding to the target user.

[0052] Furthermore, the specific implementation of the comprehensive analysis module is as follows:

[0053] Compare and screen the audio advertisement information of each historical listening period with the audio advertisement information in the audio database to obtain the listening coefficient corresponding to each audio advertisement in each historical listening period = the listening time corresponding to each audio advertisement / the standard listening time corresponding to each audio advertisement; compare the listening coefficient corresponding to each audio advertisement in each historical listening period with a preset standard listening coefficient; record each audio advertisement in each historical listening period with a listening coefficient less than the preset standard listening coefficient as an invalid listening audio advertisement; record each audio advertisement in each historical listening period with a listening coefficient greater than or equal to the preset standard listening coefficient as a valid listening audio advertisement; and screen to obtain each invalid listening audio advertisement and each valid listening audio advertisement corresponding to each historical listening period;

[0054] Compare and screen the data of each effectively listened audio advertisement corresponding to each historical listening period with the audio advertisement playback log to obtain the audio advertisement type corresponding to each effectively listened audio advertisement, each effectively listened audio advertisement listened to completely, and each effectively listened audio advertisement listened to incompletely; and analyze the audio advertisement type corresponding to each effectively listened audio advertisement, each effectively listened audio advertisement listened to completely, and each effectively listened audio advertisement listened to incompletely to obtain the number of effectively listened audio advertisements corresponding to each audio advertisement type corresponding to each historical listening period, the total effective listening time of the effectively listened audio advertisements corresponding to each audio advertisement type, and the number of completely listened audio advertisements and incompletely listened audio advertisements corresponding to each audio advertisement type;

[0055] By calculating the formula , calculate the comprehensive recommendation coefficient of each audio advertising type ,in Indicates the number corresponding to each historical listening period, It is represented by the number of effective audio ads listened to for each audio ad type during each historical listening period. It is represented by the number of complete audio ads listened to for each audio ad type in each historical listening period. It is represented by the number of incomplete audio ads listened to for each audio ad type in each historical listening period. It is represented by the total effective listening time of each audio advertisement type in each historical listening period. Expressed as a natural constant; establish a data extraction relationship between the comprehensive analysis module and the database, extract the correlation coefficient between various types of programs and various types of audio advertisements stored in the database; calculate the formula , calculate the combined recommendation coefficients of various types of programs and various types of audio advertisements for target users ,in It is expressed as the correlation coefficient between each type of program and each type of audio advertisement;

[0056] Obtain the start listening time corresponding to the target user, perform data screening based on the start listening time corresponding to the target user and the program playback log to obtain the program list corresponding to the target user, screen and obtain each reference program and program type of each reference program in the program list corresponding to the target user, obtain the combination recommendation coefficient of each reference program type and each type of audio advertisement in the program list by screening and calculating the program type of each reference program in the program list, compare the combination recommendation coefficient of each reference program type and each type of audio advertisement in the program list with a preset combination recommendation coefficient threshold, screen each type of audio advertisement that is greater than the combination recommendation coefficient threshold, record each type of audio advertisement that is greater than the combination recommendation coefficient threshold as the target user's corresponding inserted advertisement result, arrange each type of audio advertisement that is greater than the combination recommendation coefficient threshold from large to small according to the combination recommendation coefficient and insert them in a loop in sequence.

[0057] like Figure 2 To achieve the above-mentioned purpose, the present invention further provides the following technical solution: a method for inserting audio advertisements, comprising the following steps:

[0058] Obtain the target user's basic information and the audio advertisement information in the audio database, and perform preliminary matching analysis to obtain a preliminary matching audio advertisement set corresponding to the target user;

[0059] Comprehensively analyze the target user's basic information and the preliminary matching audio advertisement set corresponding to the target user to obtain a priority audio advertisement reference set corresponding to the target user;

[0060] A comprehensive analysis is performed on the priority audio advertisement reference set corresponding to the target user to obtain the interstitial advertisement results corresponding to the target user.

[0061] To achieve the above-mentioned purpose, the present invention also provides the following technical solution: a device for inserting audio advertisements, comprising a processor, a memory and a communication bus, wherein the memory stores a computer-readable program that can be executed by the processor, and the communication bus realizes the connection and communication between the processor and the memory, and when the processor executes the computer-readable program, it realizes a system for inserting audio advertisements as described in any one of the present inventions.

[0062] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A system for inserting audio advertisements, characterized by: include: Data collection and analysis module: used to obtain the basic information of the target user and the audio advertisement information in the audio database, and perform preliminary matching analysis to obtain the preliminary matching audio advertisement set corresponding to the target user; Advertisement selection strategy module: used to comprehensively analyze the basic information of the target user and the preliminary matching audio advertisement set corresponding to the target user, and obtain the priority audio advertisement reference set corresponding to the target user; The specific implementation of the advertisement selection strategy module is as follows: The target user's corresponding historical listening data set includes each historical listening record of the target user on the corresponding audio platform, the listening time period corresponding to each historical listening, the listening duration and content information of each historical listening time period, wherein the content information includes program information and audio advertisement information corresponding to each historical listening time period; Establishing a data extraction relationship between the advertisement selection strategy module and the program database to extract the program play log stored in the database, wherein the program play log includes the program type, program number, standard duration and play time period corresponding to each program; The program information includes the number of programs, the listening time of each program, and the program number of each program; the advertisement information includes the number of audio advertisements, the listening time of each audio advertisement, and the number of each audio advertisement; the type and standard duration of each audio advertisement corresponding to each historical listening period are obtained by filtering the corresponding numbers of each audio advertisement in the audio database; and the type, standard duration, and broadcast period of each program corresponding to each historical listening period are obtained by filtering the corresponding program numbers of each program in each historical listening period; Compare and screen the program information of each historical listening period with the program playback log to obtain the listening coefficient corresponding to each program in each historical listening period = the listening time corresponding to each program / the standard time corresponding to each program; compare the listening coefficient corresponding to each program in each historical listening period with a preset standard listening coefficient; record each program in each historical listening period with a listening coefficient less than the preset standard listening coefficient as an invalid listening program; record each program in each historical listening period with a listening coefficient greater than or equal to the preset standard listening coefficient as a valid listening program; and screen to obtain each invalid listening program and each valid listening program corresponding to each historical listening period; Compare and screen the data of each effectively listened program corresponding to each historical listening period with the program playback log to obtain the program type corresponding to each effectively listened program, each effectively listened program that was fully listened to, and each effectively listened program that was incompletely listened to; and analyze the program type corresponding to each effectively listened program, each effectively listened program that was fully listened to, and each effectively listened program that was incompletely listened to to obtain the number of effectively listened programs corresponding to each program type corresponding to each historical listening period, the total effective listening time of the effectively listened programs corresponding to each program type, and the number of completely listened programs and incompletely listened programs corresponding to each program type; By calculating the formula , calculate the first recommendation coefficient of each program type corresponding to each historical listening period ; By calculating the formula , calculate the second recommendation coefficient of each program type corresponding to each historical listening period ,in Indicates the number corresponding to each historical listening period, Indicates the number corresponding to each program type. Expressed as the number of program types, It is expressed as the number of effective listening programs corresponding to each program type in each historical listening period. It is expressed as the number of complete listening programs of each program type in each historical listening period. It is represented by the number of incomplete listening programs of each program type in each historical listening period. It is expressed as the total effective listening time of each program type and effective listening program in each historical listening period. It is expressed as the listening time of each historical listening period; By calculating the formula , calculate the comprehensive recommendation coefficient of each program type ,in Expressed as the number of historical listening sessions; Compare and analyze the comprehensive recommendation coefficient of each program type with the preset comprehensive recommendation coefficient threshold, screen out each program type that is greater than the comprehensive recommendation coefficient threshold, record them as each effective comparison program type, perform data statistics on the effective comparison program types corresponding to each historical listening period, obtain the appearance ratio of each effective comparison program type in each historical listening period corresponding to the target user, compare the appearance ratio of each effective comparison program type in each historical listening period corresponding to the target user with the preset ratio threshold, screen out each program type that is greater than the ratio threshold and record them as each reference program type corresponding to the target user, record each reference program type corresponding to the target user as the priority audio advertisement reference set corresponding to the target user, and calculate and obtain the average comprehensive recommendation coefficient of each reference program type corresponding to the target user. ; The comprehensive analysis module is used to conduct a comprehensive analysis on the priority audio advertisement reference set corresponding to the target user to obtain the interstitial advertisement result corresponding to the target user.

2. The system for inserting audio advertisements according to claim 1, characterized in that: The specific implementation of the data collection and analysis module is as follows: Obtain the target user's data access rights for the corresponding audio platform. By obtaining the target user's data access rights for the corresponding audio platform, obtain the target user's basic information when registering on the corresponding audio platform, including age, gender, and historical listening data set; Obtaining audio advertisement information from an audio database corresponding to the audio platform, wherein the audio advertisement information in the audio database includes the number, type, standard duration, and audience group corresponding to each audio advertisement, wherein the audience group refers to the age and gender of the listeners; The age and gender corresponding to the target user are compared and matched with the audience groups corresponding to each audio advertisement in the audio database to obtain each audio advertisement whose age and gender corresponding to the target user match the audience groups, and each audio advertisement that matches the age and gender corresponding to the target user is recorded as a preliminary matching audio advertisement set corresponding to the target user.

3. The system for inserting audio advertisements according to claim 2, characterized in that: The specific implementation of the comprehensive analysis module is as follows: Compare and screen the audio advertisement information of each historical listening period with the audio advertisement information in the audio database to obtain the listening coefficient corresponding to each audio advertisement in each historical listening period = the listening time corresponding to each audio advertisement / the standard listening time corresponding to each audio advertisement; compare the listening coefficient corresponding to each audio advertisement in each historical listening period with a preset standard listening coefficient; record each audio advertisement in each historical listening period with a listening coefficient less than the preset standard listening coefficient as an invalid listening audio advertisement; record each audio advertisement in each historical listening period with a listening coefficient greater than or equal to the preset standard listening coefficient as a valid listening audio advertisement; and screen to obtain each invalid listening audio advertisement and each valid listening audio advertisement corresponding to each historical listening period; Compare and screen the data of each effectively listened audio advertisement corresponding to each historical listening period with the audio advertisement playback log to obtain the audio advertisement type corresponding to each effectively listened audio advertisement, each effectively listened audio advertisement listened to completely, and each effectively listened audio advertisement listened to incompletely; and analyze the audio advertisement type corresponding to each effectively listened audio advertisement, each effectively listened audio advertisement listened to completely, and each effectively listened audio advertisement listened to incompletely to obtain the number of effectively listened audio advertisements corresponding to each audio advertisement type corresponding to each historical listening period, the total effective listening time of the effectively listened audio advertisements corresponding to each audio advertisement type, and the number of completely listened audio advertisements and incompletely listened audio advertisements corresponding to each audio advertisement type; By calculating the formula , calculate the comprehensive recommendation coefficient of each audio advertising type ,in Indicates the number corresponding to each historical listening period, It is represented by the number of effective audio ads listened to for each audio ad type during each historical listening period. It is represented by the number of complete audio ads listened to for each audio ad type in each historical listening period. It is represented by the number of incomplete audio ads listened to for each audio ad type in each historical listening period. It is represented by the total effective listening time of each audio advertisement type in each historical listening period. Expressed as a natural constant; Establishing a data extraction relationship between the comprehensive analysis module and the database, extracting the correlation coefficients between various types of programs and various types of audio advertisements stored in the database; By calculating the formula , calculate the combined recommendation coefficients of various types of programs and various types of audio advertisements for target users ,in It is expressed as the correlation coefficient between each type of program and each type of audio advertisement; Obtain the start listening time corresponding to the target user, perform data screening based on the start listening time corresponding to the target user and the program playback log to obtain the program list corresponding to the target user, screen and obtain each reference program and program type of each reference program in the program list corresponding to the target user, obtain the combination recommendation coefficient of each reference program type and each type of audio advertisement in the program list by screening and calculating the program type of each reference program in the program list, compare the combination recommendation coefficient of each reference program type and each type of audio advertisement in the program list with a preset combination recommendation coefficient threshold, screen each type of audio advertisement that is greater than the combination recommendation coefficient threshold, record each type of audio advertisement that is greater than the combination recommendation coefficient threshold as the target user's corresponding inserted advertisement result, arrange each type of audio advertisement that is greater than the combination recommendation coefficient threshold from large to small according to the combination recommendation coefficient and insert them in a loop in sequence.

4. A method for inserting audio advertisements, applied to the system for inserting audio advertisements according to any one of claims 1 to 3, characterized in that: include: Obtain the target user's basic information and the audio advertisement information in the audio database, and perform preliminary matching analysis to obtain a preliminary matching audio advertisement set corresponding to the target user; Comprehensively analyze the target user's basic information and the preliminary matching audio advertisement set corresponding to the target user to obtain a priority audio advertisement reference set corresponding to the target user; A comprehensive analysis is performed on the priority audio advertisement reference set corresponding to the target user to obtain the interstitial advertisement results corresponding to the target user.

5. A device for inserting audio advertisements, characterized in that : It includes a processor, a memory and a communication bus, the memory stores a computer-readable program that can be executed by the processor, the communication bus realizes the connection and communication between the processor and the memory, and when the processor executes the computer-readable program, it realizes a system for inserting audio advertisements as described in any one of claims 1-3.

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