CN120410644A - Method, device and system for inserting audio advertisements - Google Patents
Method, device and system for inserting audio advertisementsInfo
- Publication number
- CN120410644A CN120410644A CN202510897548.9A CN202510897548A CN120410644A CN 120410644 A CN120410644 A CN 120410644A CN 202510897548 A CN202510897548 A CN 202510897548A CN 120410644 A CN120410644 A CN 120410644A
- Authority
- CN
- China
- Prior art keywords
- listening
- program
- audio
- target user
- advertisement
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses a method, equipment and system for inserting audio advertisements, which relates to the field of intelligent inserting audio advertisements, and comprises a data collection and analysis module, an advertisement selection strategy module and a comprehensive analysis module, wherein the method, equipment and system analysis is carried out by acquiring historical listening information of a target user, the listening habit of the target user is effectively analyzed, the accuracy and the effectiveness of the audio advertisement insertion are indirectly improved, and the reliability of the audio advertisement insertion for the target user is further improved and the pertinence of advertisement delivery is enhanced by analyzing and comparing the program to be played corresponding to the target user.
Description
Technical Field
The application relates to the field of intelligent audio advertisement insertion, in particular to a method, equipment and a system for audio advertisement insertion.
Background
Traditional broadcast advertising is difficult to achieve accurate positioning of listeners. Broadcast media generally only can roughly divide audience groups according to program types, and information such as specific characteristics, hobbies and consumption behaviors of each audience cannot be known in depth. This results in poor targeting of advertising and poor advertising effectiveness. For example, some advertisements of products for young fashion groups may be played to old listeners, and these listeners have low purchase intention for the products, resulting in waste of advertisement resources, and the following disadvantages exist in the prior art;
The prior art is difficult to realize accurate positioning of listeners when advertisement recommendation is carried out, and the listeners are usually played only according to a fixed playing schedule, so that the specific characteristics, interest, consumption behaviors and other information of each listener cannot be deeply known, the pertinence of advertisement delivery is not strong, the accuracy of advertisement delivery is further reduced, the waste of advertisement resources is easily caused, and the development of the advertisement industry is restrained.
Disclosure of Invention
The present invention is directed to a method, apparatus and system for inserting audio advertisements to solve the above-mentioned problems set forth in the background art.
In order to achieve the above purpose, the invention provides a system for inserting audio advertisements, comprising:
The data collection and analysis module is used for acquiring basic information of the target user and audio advertisement information in the audio database, and performing preliminary matching analysis to obtain a preliminary matching audio advertisement set corresponding to the target user;
The advertisement selection strategy module is used for comprehensively analyzing the basic information of the target user 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;
and the comprehensive analysis module is used for comprehensively analyzing the preferential audio advertisement reference set corresponding to the target user to obtain the insert advertisement result corresponding to the target user.
In a preferred scheme of the scheme, the specific implementation mode of the data collection and analysis module is as follows:
Acquiring data access rights of the audio platform corresponding to the target user, and acquiring basic information of the audio platform corresponding to the target user when registering by acquiring the data access rights of the audio platform corresponding to the target user, wherein the basic information comprises age, gender and historical listening data set;
acquiring audio advertisement information in an audio database corresponding to an audio platform, wherein the audio advertisement information in the audio database comprises numbers, types, standard duration and audience groups corresponding to all audio advertisements, and the audience groups refer to ages and sexes of audience;
and comparing and matching the age and sex corresponding to the target user with the audience group corresponding to each audio advertisement in the audio database to obtain each audio advertisement of which the age and sex corresponding to the target user are matched with the audience group, and recording each audio advertisement of which the age and sex corresponding to the target user are matched as a preliminary matching audio advertisement set corresponding to the target user.
In a preferred scheme of the scheme, the specific implementation mode of the advertisement selection strategy module is as follows:
The historical listening data set corresponding to the target user comprises each historical listening record of the audio platform corresponding to the target user, each listening period corresponding to each historical listening, the listening duration of each historical listening period and content information, wherein the content information comprises program information and audio advertisement information corresponding to each historical listening period;
Establishing a data extraction relation between the advertisement selection strategy module and a program database, and extracting a program playing log stored in the database, wherein the program playing log comprises program types, program numbers, standard time lengths and playing time periods corresponding to all programs;
The program information comprises the number of programs, the listening time length of each program and the program number of each program, the advertisement information comprises the number of audio advertisements, the listening time length of each audio advertisement and the number of each audio advertisement, the types and standard time lengths of each audio advertisement corresponding to each historical listening time period are obtained through screening through the numbers corresponding to each audio advertisement in an audio database, and the program types, standard time lengths and playing time periods of each program corresponding to each historical listening time period are obtained through screening the program numbers corresponding to each program of each historical listening time period;
The program information of each historical listening period and the program play log are subjected to data comparison screening to obtain listening coefficients corresponding to each program in each historical listening period = listening duration corresponding to each program/standard duration corresponding to each program, the listening coefficients corresponding to each program in each historical listening period are compared with preset standard listening coefficients, each program in each historical listening period which is smaller than the preset standard listening coefficients is recorded as an invalid listening program, each program in each historical listening period which is larger than or equal to the preset standard listening coefficients is recorded as an effective listening program, and each invalid listening program and each effective listening program corresponding to each historical listening period are obtained through screening;
The method comprises the steps of carrying out data comparison screening on each effective listening program corresponding to each historical listening period and a program play log to obtain a program type corresponding to each effective listening program, an effective listening program corresponding to each complete listening program and an effective listening program corresponding to each incomplete listening program, and analyzing the program type corresponding to each effective listening program, the effective listening program corresponding to each complete listening program and the effective listening program corresponding to each incomplete listening program to obtain the number of the effective listening programs corresponding to each program type, the effective listening total duration of the effective listening programs corresponding to each program type, the number of complete listening programs corresponding to each program type and the number of incomplete listening programs;
By calculation formula Calculating to obtain first recommendation coefficients of program types corresponding to each historical listening periodBy a calculation formulaCalculating to obtain second recommendation coefficients of the program types corresponding to the historical listening periodsWhereinIndicated as the number corresponding to each historical listening period,Indicated as the number corresponding to each program type,Represented as the number of program types,Indicated as the number of active listening programs for each program type for each historical listening period,The number of complete listening programs represented as each historical listening period corresponding to each program type,The number of incompletely listened to programs represented as each historical listening period corresponding to each program type,The total duration of active listening indicated as each historical listening period corresponding to each program type to active listening program,The listening time length expressed as each time of the historical listening period is calculated by a calculation formulaCalculating to obtain comprehensive recommendation coefficients of all program typesWhereinComparing and analyzing the comprehensive recommendation coefficient of each program type with a preset comprehensive recommendation coefficient threshold value, screening each program type larger than the comprehensive recommendation coefficient threshold value, recording each effectively compared program type, carrying out data statistics on the effectively compared program type corresponding to each time of historical listening period to obtain the occurrence proportion of each effectively compared program type in each time of historical listening period corresponding to a target user, comparing the occurrence proportion of each effectively compared program type in each time of historical listening period corresponding to the target user with a preset proportion threshold value, screening each program type larger than the proportion threshold value, recording each program type corresponding to the target user as each reference program type corresponding to the target user, recording each reference program type corresponding to the target user as a 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。
In the preferred scheme of the scheme, the specific implementation mode of the comprehensive analysis module is as follows:
the audio advertisement information of each historical listening period is subjected to data comparison screening with the audio advertisement information in an audio database, the listening coefficient corresponding to each audio advertisement in each historical listening period = the listening duration corresponding to each audio advertisement/the standard duration corresponding to each audio advertisement is obtained, the listening coefficient corresponding to each audio advertisement in each historical listening period is compared with a preset standard listening coefficient, each audio advertisement with the listening coefficient smaller than the preset standard in each historical listening period is recorded as an invalid listening audio advertisement, each audio advertisement with the listening coefficient larger than or equal to the preset standard in each historical listening period is recorded as an effective listening audio advertisement, and each invalid listening audio advertisement and each effective listening audio advertisement corresponding to each historical listening period are obtained through screening;
The method comprises the steps of carrying out data comparison screening on each effective listening audio advertisement corresponding to each historical listening period and an audio advertisement play log to obtain an audio advertisement type corresponding to each effective listening audio advertisement, an effective listening audio advertisement corresponding to each complete listening audio advertisement and an effective listening audio advertisement corresponding to each incomplete listening, and analyzing the audio advertisement type corresponding to each effective listening audio advertisement, the effective listening audio advertisement corresponding to each complete listening audio advertisement and the effective listening audio advertisement corresponding to each incomplete listening audio advertisement to obtain the number of the effective listening audio advertisements corresponding to each audio advertisement type, the effective listening total duration corresponding to each audio advertisement type, the number of complete listening audio advertisements corresponding to each audio advertisement type and the number of incomplete listening audio advertisements;
By calculation formula Calculating to obtain comprehensive recommendation coefficients of all audio advertisement typesWhereinIndicated as the number corresponding to each historical listening period,The number of active listened-to audio advertisements represented as each historical listening period corresponding to each audio advertisement type,The number of complete listening audio advertisements represented as each historical listening period corresponding to each audio advertisement type,The number of incompletely listened audio advertisements represented as each historical listening period corresponding to each audio advertisement type,The total length of active listening to audio advertisements for each audio advertisement type is represented as each historical listening period,Establishing a data extraction relation between the comprehensive analysis module and the database, and extracting association coefficients between various types of programs and various types of audio advertisements stored in the database;
By calculation formula Calculating to obtain the combined recommendation coefficients of various programs and various audio advertisements of the target userWhereinObtaining the starting listening time corresponding to the target user, carrying out data screening on the starting listening time corresponding to the target user and the program playing log to obtain a program table corresponding to the target user, screening and obtaining each reference program and the program type of each reference program in the program table corresponding to the target user, obtaining the combined recommendation coefficient of each reference program type and each type of audio advertisement in the program table through the program type screening calculation of each reference program in the program table, comparing the combined recommendation coefficient of each reference program type and each type of audio advertisement in the program table with a preset combined recommendation coefficient threshold, screening each type of audio advertisement larger than the combined recommendation coefficient threshold, recording each type of audio advertisement larger than the combined recommendation coefficient threshold as the advertisement inserting result corresponding to the target user, and carrying out cyclic insertion on each type of audio advertisement larger than the combined recommendation coefficient threshold according to the combined recommendation coefficient from large to small.
In order to achieve the above purpose, the invention also provides a technical scheme that the device for inserting audio advertisements comprises a processor, a memory and a communication bus, wherein the memory stores a computer readable program which can be executed by the processor, the communication bus realizes connection communication between the processor and the memory, and the processor realizes the system for inserting audio advertisements according to any one of the invention when executing the computer readable program.
In order to achieve the above purpose, the invention also provides a method for inserting audio advertisements, comprising the following steps:
acquiring basic information of a target user and audio advertisement information in an audio database, and performing preliminary matching analysis to obtain a preliminary matching audio advertisement set corresponding to the target user;
comprehensively analyzing the basic information of the target user 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;
And comprehensively analyzing the preferential audio advertisement reference set corresponding to the target user to obtain the insert advertisement result corresponding to the target user.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, through acquiring and carrying out system analysis on the historical listening information of the target user, the listening habit of the target user is effectively analyzed, the accuracy and the effectiveness of the audio advertisement insertion are indirectly improved, and through analyzing and comparing the program to be played corresponding to the target user, the reliability of the audio advertisement insertion of the target user is further improved, and the pertinence of advertisement delivery is enhanced.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
Fig. 1 is a schematic diagram of module connection according to an embodiment of the invention.
FIG. 2 is a schematic diagram of the step connection of the embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a system for inserting audio advertisements, which includes a data collection and analysis module, an advertisement selection policy module and a comprehensive analysis module.
The data collection and analysis module is used for acquiring basic information of the target user and audio advertisement information in the audio database, and performing preliminary matching analysis to obtain a preliminary matching audio advertisement set corresponding to the target user;
Further, the specific implementation manner of the data collection and analysis module is as follows:
Acquiring data access rights of the audio platform corresponding to the target user, and acquiring basic information of the audio platform corresponding to the target user when registering by acquiring the data access rights of the audio platform corresponding to the target user, wherein the basic information comprises age, gender and historical listening data set;
acquiring audio advertisement information in an audio database corresponding to an audio platform, wherein the audio advertisement information in the audio database comprises numbers, types, standard duration and audience groups corresponding to all audio advertisements, and the audience groups refer to ages and sexes of audience;
and comparing and matching the age and sex corresponding to the target user with the audience group corresponding to each audio advertisement in the audio database to obtain each audio advertisement of which the age and sex corresponding to the target user are matched with the audience group, and recording each audio advertisement of which the age and sex corresponding to the target user are matched as a preliminary matching audio advertisement set corresponding to the target user.
The advertisement selection strategy module is used for comprehensively analyzing the basic information of the target user 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;
further, the advertisement selection policy module is specifically implemented as follows:
The historical listening data set corresponding to the target user comprises each historical listening record of the audio platform corresponding to the target user, each listening period corresponding to each historical listening, the listening duration of each historical listening period and content information, wherein the content information comprises program information and audio advertisement information corresponding to each historical listening period;
Establishing a data extraction relation between the advertisement selection strategy module and a program database, and extracting a program playing log stored in the database, wherein the program playing log comprises program types, program numbers, standard time lengths and playing time periods corresponding to all programs;
The program information comprises the number of programs, the listening time length of each program and the program number of each program, the advertisement information comprises the number of audio advertisements, the listening time length of each audio advertisement and the number of each audio advertisement, the types and standard time lengths of each audio advertisement corresponding to each historical listening time period are obtained through screening through the numbers corresponding to each audio advertisement in an audio database, and the program types, standard time lengths and playing time periods of each program corresponding to each historical listening time period are obtained through screening the program numbers corresponding to each program of each historical listening time period;
The program information of each historical listening period and the program play log are subjected to data comparison screening to obtain listening coefficients corresponding to each program in each historical listening period = listening duration corresponding to each program/standard duration corresponding to each program, the listening coefficients corresponding to each program in each historical listening period are compared with preset standard listening coefficients, each program in each historical listening period which is smaller than the preset standard listening coefficients is recorded as an invalid listening program, each program in each historical listening period which is larger than or equal to the preset standard listening coefficients is recorded as an effective listening program, and each invalid listening program and each effective listening program corresponding to each historical listening period are obtained through screening;
The method comprises the steps of carrying out data comparison screening on each effective listening program corresponding to each historical listening period and a program play log to obtain a program type corresponding to each effective listening program, an effective listening program corresponding to each complete listening program and an effective listening program corresponding to each incomplete listening program, and analyzing the program type corresponding to each effective listening program, the effective listening program corresponding to each complete listening program and the effective listening program corresponding to each incomplete listening program to obtain the number of the effective listening programs corresponding to each program type, the effective listening total duration of the effective listening programs corresponding to each program type, the number of complete listening programs corresponding to each program type and the number of incomplete listening programs;
By calculation formula Calculating to obtain first recommendation coefficients of program types corresponding to each historical listening periodBy a calculation formulaCalculating to obtain second recommendation coefficients of the program types corresponding to the historical listening periodsWhereinIndicated as the number corresponding to each historical listening period,Indicated as the number corresponding to each program type,Represented as the number of program types,Indicated as the number of active listening programs for each program type for each historical listening period,The number of complete listening programs represented as each historical listening period corresponding to each program type,The number of incompletely listened to programs represented as each historical listening period corresponding to each program type,The total duration of active listening indicated as each historical listening period corresponding to each program type to active listening program,The listening time length expressed as each time of the historical listening period is calculated by a calculation formulaCalculating to obtain comprehensive recommendation coefficients of all program typesWhereinExpressed as the number of historical listening periods;
Comparing and analyzing the comprehensive recommendation coefficient of each program type with a preset comprehensive recommendation coefficient threshold value, screening each program type larger than the comprehensive recommendation coefficient threshold value, recording the program type as each effective comparison program type, carrying out data statistics on the effective comparison program type corresponding to each historical listening period to obtain the occurrence proportion of each effective comparison program type in each historical listening period corresponding to a target user, comparing the occurrence proportion of each effective comparison program type in each historical listening period corresponding to the target user with a preset proportion threshold value, screening each program type larger than the proportion threshold value, recording the program type as each reference program type corresponding to the target user, recording each reference program type corresponding to the target user as a 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 。
And the comprehensive analysis module is used for comprehensively analyzing the preferential audio advertisement reference set corresponding to the target user to obtain the insert advertisement result corresponding to the target user.
Further, the specific implementation manner of the comprehensive analysis module is as follows:
the audio advertisement information of each historical listening period is subjected to data comparison screening with the audio advertisement information in an audio database, the listening coefficient corresponding to each audio advertisement in each historical listening period = the listening duration corresponding to each audio advertisement/the standard duration corresponding to each audio advertisement is obtained, the listening coefficient corresponding to each audio advertisement in each historical listening period is compared with a preset standard listening coefficient, each audio advertisement with the listening coefficient smaller than the preset standard in each historical listening period is recorded as an invalid listening audio advertisement, each audio advertisement with the listening coefficient larger than or equal to the preset standard in each historical listening period is recorded as an effective listening audio advertisement, and each invalid listening audio advertisement and each effective listening audio advertisement corresponding to each historical listening period are obtained through screening;
The method comprises the steps of carrying out data comparison screening on each effective listening audio advertisement corresponding to each historical listening period and an audio advertisement play log to obtain an audio advertisement type corresponding to each effective listening audio advertisement, an effective listening audio advertisement corresponding to each complete listening audio advertisement and an effective listening audio advertisement corresponding to each incomplete listening, and analyzing the audio advertisement type corresponding to each effective listening audio advertisement, the effective listening audio advertisement corresponding to each complete listening audio advertisement and the effective listening audio advertisement corresponding to each incomplete listening audio advertisement to obtain the number of the effective listening audio advertisements corresponding to each audio advertisement type, the effective listening total duration corresponding to each audio advertisement type, the number of complete listening audio advertisements corresponding to each audio advertisement type and the number of incomplete listening audio advertisements;
By calculation formula Calculating to obtain comprehensive recommendation coefficients of all audio advertisement typesWhereinIndicated as the number corresponding to each historical listening period,The number of active listened-to audio advertisements represented as each historical listening period corresponding to each audio advertisement type,The number of complete listening audio advertisements represented as each historical listening period corresponding to each audio advertisement type,The number of incompletely listened audio advertisements represented as each historical listening period corresponding to each audio advertisement type,The total length of active listening to audio advertisements for each audio advertisement type is represented as each historical listening period,Expressed as natural constant, establishes data extraction relation between the comprehensive analysis module and the database, extracts the association coefficient between each type of program and each type of audio advertisement stored in the database, and calculates the association coefficient by a calculation formulaCalculating to obtain the combined recommendation coefficients of various programs and various audio advertisements of the target userWhereinExpressed as a correlation coefficient between each type of program and each type of audio advertisement;
Obtaining a starting listening time corresponding to a target user, carrying out data screening on a program playing log through the starting listening time corresponding to the target user to obtain a program list corresponding to the target user, screening and obtaining all reference programs and program types of all reference programs in the program list corresponding to the target user, obtaining a combined recommendation coefficient of all reference program types and all types of audio advertisements in the program list through program type screening calculation of all reference programs in the program list, comparing the combined recommendation coefficient of all reference program types and all types of audio advertisements in the program list with a preset combined recommendation coefficient threshold, screening all types of audio advertisements larger than the combined recommendation coefficient threshold, marking all types of audio advertisements larger than the combined recommendation coefficient threshold as a commercial break result corresponding to the target user, and sequentially and circularly broadcasting all types of audio advertisements larger than the combined recommendation coefficient threshold according to the combined recommendation coefficient.
As shown in fig. 2, to achieve the above objective, the present invention further provides a method for inserting audio advertisements, comprising the following steps:
acquiring basic information of a target user and audio advertisement information in an audio database, and performing preliminary matching analysis to obtain a preliminary matching audio advertisement set corresponding to the target user;
comprehensively analyzing the basic information of the target user 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;
And comprehensively analyzing the preferential audio advertisement reference set corresponding to the target user to obtain the insert advertisement result corresponding to the target user.
In order to achieve the above purpose, the invention also provides a technical scheme that the device for inserting audio advertisements comprises a processor, a memory and a communication bus, wherein the memory stores a computer readable program which can be executed by the processor, the communication bus realizes connection communication between the processor and the memory, and the processor realizes the system for inserting audio advertisements according to any one of the invention when executing the computer readable program.
The above embodiments are not intended to limit the scope of the application, so that the equivalent changes of the structure, shape and principle of the application are covered by the scope of the application.
Claims (6)
1. A system for inserting audio advertisements, comprising:
The data collection and analysis module is used for acquiring basic information of the target user and audio advertisement information in the audio database, and performing preliminary matching analysis to obtain a preliminary matching audio advertisement set corresponding to the target user;
The advertisement selection strategy module is used for comprehensively analyzing the basic information of the target user 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;
and the comprehensive analysis module is used for comprehensively analyzing the preferential audio advertisement reference set corresponding to the target user to obtain the insert advertisement result corresponding to the target user.
2. The system for inserting audio advertisements according to claim 1, wherein the data collection and analysis module is implemented as follows:
Acquiring data access rights of the audio platform corresponding to the target user, and acquiring basic information of the audio platform corresponding to the target user when registering by acquiring the data access rights of the audio platform corresponding to the target user, wherein the basic information comprises age, gender and historical listening data set;
acquiring audio advertisement information in an audio database corresponding to an audio platform, wherein the audio advertisement information in the audio database comprises numbers, types, standard duration and audience groups corresponding to all audio advertisements, and the audience groups refer to ages and sexes of audience;
and comparing and matching the age and sex corresponding to the target user with the audience group corresponding to each audio advertisement in the audio database to obtain each audio advertisement of which the age and sex corresponding to the target user are matched with the audience group, and recording each audio advertisement of which the age and sex corresponding to the target user are matched as a preliminary matching audio advertisement set corresponding to the target user.
3. The system for inserting audio advertisements as set forth in claim 2, wherein the advertisement selection policy module is specifically implemented as follows:
The historical listening data set corresponding to the target user comprises each historical listening record of the audio platform corresponding to the target user, each listening period corresponding to each historical listening, the listening duration of each historical listening period and content information, wherein the content information comprises program information and audio advertisement information corresponding to each historical listening period;
Establishing a data extraction relation between the advertisement selection strategy module and a program database, and extracting a program playing log stored in the database, wherein the program playing log comprises program types, program numbers, standard time lengths and playing time periods corresponding to all programs;
The program information comprises the number of programs, the listening time length of each program and the program number of each program, the advertisement information comprises the number of audio advertisements, the listening time length of each audio advertisement and the number of each audio advertisement, the types and standard time lengths of each audio advertisement corresponding to each historical listening time period are obtained through screening through the numbers corresponding to each audio advertisement in an audio database, and the program types, standard time lengths and playing time periods of each program corresponding to each historical listening time period are obtained through screening the program numbers corresponding to each program of each historical listening time period;
The program information of each historical listening period and the program play log are subjected to data comparison screening to obtain listening coefficients corresponding to each program in each historical listening period = listening duration corresponding to each program/standard duration corresponding to each program, the listening coefficients corresponding to each program in each historical listening period are compared with preset standard listening coefficients, each program in each historical listening period which is smaller than the preset standard listening coefficients is recorded as an invalid listening program, each program in each historical listening period which is larger than or equal to the preset standard listening coefficients is recorded as an effective listening program, and each invalid listening program and each effective listening program corresponding to each historical listening period are obtained through screening;
The method comprises the steps of carrying out data comparison screening on each effective listening program corresponding to each historical listening period and a program play log to obtain a program type corresponding to each effective listening program, an effective listening program corresponding to each complete listening program and an effective listening program corresponding to each incomplete listening program, and analyzing the program type corresponding to each effective listening program, the effective listening program corresponding to each complete listening program and the effective listening program corresponding to each incomplete listening program to obtain the number of the effective listening programs corresponding to each program type, the effective listening total duration of the effective listening programs corresponding to each program type, the number of complete listening programs corresponding to each program type and the number of incomplete listening programs;
By calculation formula Calculating to obtain first recommendation coefficients of program types corresponding to each historical listening periodBy a calculation formulaCalculating to obtain second recommendation coefficients of the program types corresponding to the historical listening periodsWhereinIndicated as the number corresponding to each historical listening period,Indicated as the number corresponding to each program type,Represented as the number of program types,Indicated as the number of active listening programs for each program type for each historical listening period,The number of complete listening programs represented as each historical listening period corresponding to each program type,The number of incompletely listened to programs represented as each historical listening period corresponding to each program type,The total duration of active listening indicated as each historical listening period corresponding to each program type to active listening program,The listening time length expressed as each time of the historical listening period is calculated by a calculation formulaCalculating to obtain comprehensive recommendation coefficients of all program typesWhereinExpressed as the number of historical listening periods;
Comparing and analyzing the comprehensive recommendation coefficient of each program type with a preset comprehensive recommendation coefficient threshold value, screening each program type larger than the comprehensive recommendation coefficient threshold value, recording the program type as each effective comparison program type, carrying out data statistics on the effective comparison program type corresponding to each historical listening period to obtain the occurrence proportion of each effective comparison program type in each historical listening period corresponding to a target user, comparing the occurrence proportion of each effective comparison program type in each historical listening period corresponding to the target user with a preset proportion threshold value, screening each program type larger than the proportion threshold value, recording the program type as each reference program type corresponding to the target user, recording each reference program type corresponding to the target user as a 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 。
4. The system for inserting audio advertisements as set forth in claim 3, wherein the comprehensive analysis module is specifically implemented as follows:
the audio advertisement information of each historical listening period is subjected to data comparison screening with the audio advertisement information in an audio database, the listening coefficient corresponding to each audio advertisement in each historical listening period = the listening duration corresponding to each audio advertisement/the standard duration corresponding to each audio advertisement is obtained, the listening coefficient corresponding to each audio advertisement in each historical listening period is compared with a preset standard listening coefficient, each audio advertisement with the listening coefficient smaller than the preset standard in each historical listening period is recorded as an invalid listening audio advertisement, each audio advertisement with the listening coefficient larger than or equal to the preset standard in each historical listening period is recorded as an effective listening audio advertisement, and each invalid listening audio advertisement and each effective listening audio advertisement corresponding to each historical listening period are obtained through screening;
The method comprises the steps of carrying out data comparison screening on each effective listening audio advertisement corresponding to each historical listening period and an audio advertisement play log to obtain an audio advertisement type corresponding to each effective listening audio advertisement, an effective listening audio advertisement corresponding to each complete listening audio advertisement and an effective listening audio advertisement corresponding to each incomplete listening, and analyzing the audio advertisement type corresponding to each effective listening audio advertisement, the effective listening audio advertisement corresponding to each complete listening audio advertisement and the effective listening audio advertisement corresponding to each incomplete listening audio advertisement to obtain the number of the effective listening audio advertisements corresponding to each audio advertisement type, the effective listening total duration corresponding to each audio advertisement type, the number of complete listening audio advertisements corresponding to each audio advertisement type and the number of incomplete listening audio advertisements;
By calculation formula Calculating to obtain comprehensive recommendation coefficients of all audio advertisement typesWhereinIndicated as the number corresponding to each historical listening period,The number of active listened-to audio advertisements represented as each historical listening period corresponding to each audio advertisement type,The number of complete listening audio advertisements represented as each historical listening period corresponding to each audio advertisement type,The number of incompletely listened audio advertisements represented as each historical listening period corresponding to each audio advertisement type,The total length of active listening to audio advertisements for each audio advertisement type is represented as each historical listening period,Expressed as natural constants;
Establishing a data extraction relation between the comprehensive analysis module and the database, extracting association coefficients between various types of programs and various types of audio advertisements stored in the database, and obtaining a calculation formula Calculating to obtain the combined recommendation coefficients of various programs and various audio advertisements of the target userWhereinExpressed as a correlation coefficient between each type of program and each type of audio advertisement;
Obtaining a starting listening time corresponding to a target user, carrying out data screening on a program playing log through the starting listening time corresponding to the target user to obtain a program list corresponding to the target user, screening and obtaining all reference programs and program types of all reference programs in the program list corresponding to the target user, obtaining a combined recommendation coefficient of all reference program types and all types of audio advertisements in the program list through program type screening calculation of all reference programs in the program list, comparing the combined recommendation coefficient of all reference program types and all types of audio advertisements in the program list with a preset combined recommendation coefficient threshold, screening all types of audio advertisements larger than the combined recommendation coefficient threshold, marking all types of audio advertisements larger than the combined recommendation coefficient threshold as a commercial break result corresponding to the target user, and sequentially and circularly broadcasting all types of audio advertisements larger than the combined recommendation coefficient threshold according to the combined recommendation coefficient.
5. A method for inserting audio advertisements, applied to a system for inserting audio advertisements as claimed in any one of claims 1 to 4, characterized by comprising:
acquiring basic information of a target user and audio advertisement information in an audio database, and performing preliminary matching analysis to obtain a preliminary matching audio advertisement set corresponding to the target user;
comprehensively analyzing the basic information of the target user 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;
And comprehensively analyzing the preferential audio advertisement reference set corresponding to the target user to obtain the insert advertisement result corresponding to the target user.
6. An apparatus for inserting audio advertisements, comprising a processor, a memory and a communication bus, said memory having stored thereon a computer readable program executable by said processor, said communication bus enabling a connection communication between the processor and the memory, said processor executing said computer readable program to implement a system for inserting audio advertisements as claimed in any one of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202510897548.9A CN120410644B (en) | 2025-07-01 | 2025-07-01 | Method, device and system for inserting audio advertisements |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202510897548.9A CN120410644B (en) | 2025-07-01 | 2025-07-01 | Method, device and system for inserting audio advertisements |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN120410644A true CN120410644A (en) | 2025-08-01 |
| CN120410644B CN120410644B (en) | 2025-09-12 |
Family
ID=96514133
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202510897548.9A Active CN120410644B (en) | 2025-07-01 | 2025-07-01 | Method, device and system for inserting audio advertisements |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN120410644B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102843589A (en) * | 2012-09-29 | 2012-12-26 | 乐视网信息技术（北京）股份有限公司 | Intelligent advertisement insertion system and intelligent advertisement insertion method |
| CN102968738A (en) * | 2012-12-06 | 2013-03-13 | 中国科学院半导体研究所 | Advertising system |
| CN108776907A (en) * | 2018-05-31 | 2018-11-09 | 康键信息技术（深圳）有限公司 | Advertisement intelligent recommends method, server and storage medium |
| CN110991490A (en) * | 2019-11-11 | 2020-04-10 | 广州荔支网络技术有限公司 | Intelligent audio platform advertisement putting method |
| CN113159861A (en) * | 2021-05-10 | 2021-07-23 | 武汉野途电子商务有限公司 | Intelligent advertisement recommendation method and device based on feature recognition and user behavior deep analysis and storage medium |
| CN118229362A (en) * | 2024-05-23 | 2024-06-21 | 成都世纪飞扬科技集团有限公司 | Advertisement accurate delivery method and system based on Internet big data |
| CN119558910A (en) * | 2024-10-14 | 2025-03-04 | 陕西普睿方德广告有限公司 | A multimedia information system for advertisement design |
-
2025
- 2025-07-01 CN CN202510897548.9A patent/CN120410644B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102843589A (en) * | 2012-09-29 | 2012-12-26 | 乐视网信息技术（北京）股份有限公司 | Intelligent advertisement insertion system and intelligent advertisement insertion method |
| CN102968738A (en) * | 2012-12-06 | 2013-03-13 | 中国科学院半导体研究所 | Advertising system |
| CN108776907A (en) * | 2018-05-31 | 2018-11-09 | 康键信息技术（深圳）有限公司 | Advertisement intelligent recommends method, server and storage medium |
| CN110991490A (en) * | 2019-11-11 | 2020-04-10 | 广州荔支网络技术有限公司 | Intelligent audio platform advertisement putting method |
| CN113159861A (en) * | 2021-05-10 | 2021-07-23 | 武汉野途电子商务有限公司 | Intelligent advertisement recommendation method and device based on feature recognition and user behavior deep analysis and storage medium |
| CN118229362A (en) * | 2024-05-23 | 2024-06-21 | 成都世纪飞扬科技集团有限公司 | Advertisement accurate delivery method and system based on Internet big data |
| CN119558910A (en) * | 2024-10-14 | 2025-03-04 | 陕西普睿方德广告有限公司 | A multimedia information system for advertisement design |
Also Published As
| Publication number | Publication date |
|---|---|
| CN120410644B (en) | 2025-09-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9028260B2 (en) | Automated quiz generation system | |
| CN107343047B (en) | Application promotion system and method | |
| US7483835B2 (en) | AD detection using ID code and extracted signature | |
| US9256673B2 (en) | Methods and systems for identifying content in a data stream | |
| US9560149B2 (en) | Methods and apparatus to create a panel of media device users | |
| US20090307084A1 (en) | Measuring Exposure To Media Across Multiple Media Delivery Mechanisms | |
| CN108629047B (en) | Song list generation method and terminal equipment | |
| US11574226B2 (en) | Methods and apparatus to determine a conditional probability based on audience member probability distributions for media audience measurement | |
| CN102737109A (en) | Methods and apparatus to generate a tag for media content | |
| US10847168B2 (en) | Research data gathering | |
| US20230247255A1 (en) | Methods and apparatus to identify streaming media sources | |
| US11785105B2 (en) | Methods and apparatus to facilitate meter to meter matching for media identification | |
| CN103797482A (en) | Methods and systems for performing comparisons of received data and providing follow-on service based on the comparisons | |
| CN109525865B (en) | Block chain-based audience rating monitoring method and computer-readable storage medium | |
| CN108229994A (en) | A kind of information-pushing method and device | |
| CN107967280B (en) | Method and system for recommending songs by tag | |
| CN108492132B (en) | Advertisement monitoring and releasing system and method utilizing audio characteristic identification | |
| CN110827082A (en) | Program sponsorship advertisement effect evaluation method, storage medium and computer equipment | |
| CN120410644B (en) | Method, device and system for inserting audio advertisements | |
| US12271449B2 (en) | Methods and apparatus to credit unidentified media | |
| CN113259728B (en) | Method and device for recommending video, electronic equipment and storage medium | |
| US20020194066A1 (en) | Method and apparatus for content promotion via a network | |
| CN113408470A (en) | Data processing method, data processing apparatus, electronic device, storage medium, and program product | |
| Nelson-Field et al. | How well do radio network marketers portray their own audiences? A study of the differences in radio audience demographics with implications for targeting strategy | |
| CN115460438B (en) | Video pushing method and device, nonvolatile storage medium and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |