Advertising board site selection determination method and device, equipment, medium and product

Abstract

The invention discloses an advertising board site selection determination method, apparatus and device, a medium and a product. The method comprises the steps of obtaining site selection data of a plurality of advertising board candidate addresses of a target advertisement; performing exposure quantitative analysis on each advertising board candidate address according to the site selection data to obtain the exposure quantity of a target advertisement in each advertising board candidate address; and determining an advertising board site selection scheme of the target advertisement according to the exposure. Exposure quantitative analysis can be carried out on the advertising board candidate address based on the site selection data of the advertising board candidate address so as to quantify the exposure of the advertisement in the advertising board candidate address, the measurement accuracy of the exposure of the advertisement in each advertisement candidate address is improved, the advertisement putting effect is improved, and waste of advertisement resources is avoided.

Description

Technical Field

[0001] The present invention relates to the field of smart city technology, and in particular to a method, device, equipment, medium and product for determining the site selection of a billboard. Background Art

[0002] Digital outdoor billboards, with their high coverage and scenario-specific reach, have become a core vehicle for brand marketing strategies. However, technical bottlenecks in the industry hinder their potential value. Currently, traditional advertising site selection relies on manual experience or simple footfall statistics to predict exposure. This results in significant errors in exposure predictions and fails to accurately reflect the actual exposure of ads at each candidate location. This leads to poor advertising effectiveness and significant waste of advertising resources. Summary of the Invention

[0003] The present invention provides a method, device, equipment, medium and product for determining the site selection of a billboard. The method performs exposure quantification analysis on the candidate billboard addresses based on the site selection data of the candidate billboard addresses to quantify the exposure of advertisements at the candidate billboard addresses, thereby improving the measurement accuracy of the exposure of advertisements at each candidate advertising address, thereby improving the effect of advertising placement and avoiding waste of advertising resources.

[0004] To achieve the above objectives, an embodiment of the present invention provides a method for determining a location for a billboard, comprising:

[0005] Obtaining location data for several candidate billboard locations for a target advertisement;

[0006] Performing exposure quantification analysis on each candidate billboard address based on the site selection data to obtain exposure of the target advertisement at each candidate billboard address;

[0007] A billboard location plan for the target advertisement is determined according to the exposure amount.

[0008] As an improvement to the above solution, the exposure quantification analysis is performed on each candidate billboard address based on the site selection data to obtain the exposure of the target advertisement at each candidate billboard address, including:

[0009] Performing sight line analysis and calculation on each candidate billboard address based on the site selection data to obtain a visibility probability of a target advertisement at each candidate billboard address;

[0010] Determine the exposure weight of the target advertisement at each candidate billboard address based on pedestrian behavior characteristics;

[0011] Determine the comprehensive interference coefficient of the target advertisement at each candidate billboard address based on the competing advertisements at each candidate billboard address;

[0012] The exposure amount of the target advertisement at each candidate billboard address is obtained according to the visibility probability, the exposure weight, and the comprehensive interference coefficient.

[0013] As an improvement to the above solution, the method of determining a billboard location plan for the target advertisement based on the exposure includes:

[0014] determining the advertising revenue of the target advertisement at each candidate billboard address according to the exposure amount;

[0015] A billboard site selection plan for the target advertisement is determined based on the advertising cost of each candidate billboard address and the advertising revenue.

[0016] As an improvement to the above solution, performing sight line analysis and calculation on each candidate billboard address based on the site selection data to obtain the visibility probability of the target advertisement at each candidate billboard address includes:

[0017] Simulating the visible area of ​​each billboard candidate address at different time periods using a ray tracing algorithm based on the site selection data;

[0018] According to the visible area, a sight line analysis calculation is performed on each candidate billboard address to obtain the visibility probability of the target advertisement at each candidate billboard address.

[0019] As an improvement to the above solution, the method of determining the comprehensive interference coefficient of the target advertisement at each candidate billboard address based on the competing advertisements at each candidate billboard address includes:

[0020] Determine the attenuation coefficient of the target advertisement at each candidate billboard address based on the number of competing advertisements at each candidate billboard address;

[0021] Determine the competitiveness correction factor of the target advertisement at each candidate billboard address based on the area and brightness of the competing advertisements at each candidate billboard address;

[0022] The comprehensive interference coefficient of the target advertisement in each candidate billboard address is determined according to the attenuation coefficient and the competitiveness correction factor.

[0023] As an improvement to the above solution, the expression of the comprehensive interference coefficient is:

[0024] β=β1·β2,

[0025] Where β1 is the attenuation coefficient and β2 is the competitiveness correction factor.

[0026] To achieve the above-mentioned purpose, an embodiment of the present invention provides a device for determining the location of a billboard, comprising:

[0027] A site selection data acquisition module is used to obtain site selection data of several candidate billboard addresses for target advertisements;

[0028] An advertising exposure analysis module, configured to perform exposure quantification analysis on each candidate billboard address based on the site selection data to obtain the exposure of the target advertisement at each candidate billboard address;

[0029] An advertisement site selection determination module is used to determine a billboard site selection plan for the target advertisement according to the exposure amount.

[0030] In order to achieve the above-mentioned purpose, an embodiment of the present invention provides a device for determining the location of a billboard, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the above-mentioned method for determining the location of the billboard is implemented.

[0031] In order to achieve the above-mentioned purpose, an embodiment of the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the above-mentioned billboard site determination method.

[0032] To achieve the above objectives, an embodiment of the present invention further provides a computer program product, which is stored in a storage medium and executed by at least one processor to implement the steps of the above-mentioned method for determining the location of a billboard.

[0033] Compared to the prior art, the present invention discloses a method, apparatus, device, medium, and product for determining the location of a billboard. These methods obtain location data for a number of candidate billboard addresses for a target advertisement; perform a quantitative exposure analysis on each candidate billboard address based on the location data to obtain the exposure of the target advertisement at each candidate billboard address; and determine a billboard location plan for the target advertisement based on the exposure. This method can perform a quantitative exposure analysis on the candidate billboard addresses based on the location data to quantify the exposure of the advertisement at the candidate billboard addresses, thereby improving the accuracy of measuring the exposure of the advertisement at each candidate billboard address, thereby enhancing the effectiveness of advertising placement and avoiding waste of advertising resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a flow chart of a method for determining the location of a billboard provided by an embodiment of the present invention;

[0035] Figure 2 This is a schematic structural diagram of a device for determining the location of a billboard provided by an embodiment of the present invention;

[0036] Figure 3This is a structural block diagram of a device for determining the location of a billboard provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0037] 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. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0038] It should be noted that the terms "comprises" and "specifically" and any variations thereof in the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or are inherent to these processes, methods, products or apparatuses.

[0039] See also Figure 1 , Figure 1 1 is a flow chart of a method for determining a location for a billboard provided by an embodiment of the present invention. The method for determining a location for a billboard includes:

[0040] S1, obtaining location data of several candidate billboard addresses for the target advertisement;

[0041] S2, performing exposure quantitative analysis on each candidate billboard address according to the site selection data to obtain the exposure of the target advertisement at each candidate billboard address;

[0042] S3: Determine a billboard location plan for the target advertisement according to the exposure amount.

[0043] Exemplarily, the method for determining the location of a billboard described in an embodiment of the present invention is implemented by a location selection server, which is capable of exchanging information with target users. The location selection server obtains the location selection data of several candidate billboard addresses of the target advertisement (such as a three-dimensional model of urban buildings, pedestrian trajectory data, and billboard attribute data); performs exposure quantitative analysis on each candidate billboard address based on the location selection data to obtain the exposure of the target advertisement in each candidate billboard address; and determines the billboard location selection plan for the target advertisement based on the exposure. Based on the location selection data of the candidate billboard address, the candidate billboard address can be subjected to exposure quantitative analysis to quantify the exposure of the advertisement in the candidate billboard address, thereby improving the measurement accuracy of the exposure of the advertisement in each candidate advertisement address, thereby improving the effect of advertising and avoiding waste of advertising resources.

[0044] Specifically, step S2 includes:

[0045] S21, performing sight line analysis calculation on each candidate billboard address according to the site selection data to obtain a visibility probability of a target advertisement at each candidate billboard address;

[0046] S22, determining the exposure weight of the target advertisement at each candidate billboard address based on pedestrian behavior characteristics;

[0047] S23, determining a comprehensive interference coefficient of the target advertisement at each candidate billboard address based on the competing advertisements at each candidate billboard address;

[0048] S24 , obtaining the exposure amount of the target advertisement at each candidate billboard address according to the visibility probability, the exposure weight, and the comprehensive interference coefficient.

[0049] For example, the site selection data includes urban building data (including building height, material reflectivity, and transmittance properties), billboard attribute data (billboard location, size, content type, and display time), pedestrian trajectory data (mobile phone signaling, GPS trajectory, and WiFi probes), and economic data. The site selection data is preprocessed (e.g., matching pedestrian trajectory points with the building model coordinate system to achieve spatiotemporal alignment; dividing the dynamic grid and generating a multi-level spatial grid centered on the candidate billboard for local occlusion analysis). The processed site selection data is used to construct a virtual environment, for example, based on a game engine (such as Unity / Unreal) or A GIS platform (such as Cesium) generates a three-dimensional urban scene. Based on the three-dimensional urban scene of the candidate billboard address and the processed site selection data, it simulates the visible area of ​​the billboard, pedestrian behavior characteristics (pedestrian stay duration, line of sight angle), and competing advertisements in different time periods (such as changes in sunlight angle). For example, it conducts three-dimensional scene interaction, supports users to rotate, zoom, and cut into building models to observe occlusion relationships, supports real-time calculation of the visible area and exposure effect of the billboard, allows real-time adjustment of the billboard position, size, and content, and previews changes in the reach range, and outputs indicators such as exposure, effective reach rate, and crowd portrait (age / gender distribution). Perform sightline analysis and calculation on each candidate billboard address based on the pedestrian trajectory data in the site selection data to obtain the visibility probability of the target advertisement at each candidate billboard address; determine the exposure weight of the target advertisement at each candidate billboard address based on the pedestrian stay time and sight angle (front view / side view); determine the comprehensive interference coefficient of the target advertisement at each candidate billboard address based on the competing advertisements at each candidate billboard address; obtain the exposure amount of the target advertisement at each candidate billboard address based on the visibility probability, the exposure weight, and the comprehensive interference coefficient. Wherein, the expression of the exposure weight is:

[0050]

[0051] Where W(i,t) is the effective reach of the target advertisement by pedestrians at the pedestrian flow point i at time t in each billboard candidate address (the exposure weight of the target advertisement in each billboard candidate address), T stay (i,t) is the time (in seconds) that pedestrians stay at the pedestrian flow point i at time t; θ view is the sight angle between the pedestrian and the billboard plane (θ view =0°, with the highest weight), T max is the preset maximum residence time, which is a normalization factor used to convert the residence time T stay (i, t) is normalized so that its value ranges from 0 to 1.

[0052] The expression of the exposure L of the target advertisement at each candidate billboard address is:

[0053]

[0054] Where, T is the total exposure time, P v (x, y, t) is the visibility probability of the billboard (x, y) being observed by the pedestrian flow point at time t (the visibility probability of the target advertisement), and its value range is between 0 and 1. The larger the value, the higher the visibility. N is the total number of pedestrian flow trajectory points, and β is the comprehensive interference coefficient.

[0055] Specifically, step S3 includes:

[0056] S31, determining the advertising revenue of the target advertisement at each candidate billboard address according to the exposure amount;

[0057] S32: Determine a billboard site selection plan for the target advertisement based on the advertising cost and the advertising revenue of each candidate billboard address.

[0058] Exemplarily, the advertising revenue of the target advertisement at each candidate billboard address is determined based on the exposure. For example, the advertising revenue of the target advertisement at each candidate billboard address is calculated based on the exposure with maximizing the return on investment (ROI) as the objective function. A multi-objective genetic algorithm (NSGA-II) is used to determine the billboard site selection plan for the target advertisement based on the advertising cost of each candidate billboard address and the advertising revenue. The chromosome encoding includes the billboard location (x, y), size (w, h), and delivery time period. The fitness function is the ROI value. The elite retention strategy and adaptive change rate are introduced to improve the convergence speed. The expression of the objective function is:

[0059]

[0060] In the formula, E is the advertising revenue of the target ad at each candidate billboard address, E = L × CPM, where L is the number of impressions of the target ad at each candidate billboard address, and CPM is the cost per thousand impressions. C1 is the rental cost of each candidate billboard address, C1 = A0 × C0 × M, where A0 is the billboard area of ​​the target ad at each candidate billboard address, C0 is the unit rental cost of each candidate billboard address, and M is the number of days the target ad is run at each candidate billboard address. C2 is the production cost of the target ad at each candidate billboard address. It is understood that the billboard area can be determined by the billboard's location and size.

[0061] More specifically, step S21 includes:

[0062] S211, simulating the visible area of ​​each billboard candidate address in different time periods using a ray tracing algorithm according to the site selection data;

[0063] S212 : performing sight line analysis and calculation on each candidate billboard address according to the visible area to obtain a visibility probability of the target advertisement at each candidate billboard address.

[0064] For example, a ray tracing algorithm is used to simulate the visible area of ​​a billboard under different time periods (such as changes in sunlight angle), and the impact of light reflection on exposure is calculated in combination with the building facade material. Dynamic occlusion is calculated using the current pedestrian flow data to perform line of sight analysis on each candidate billboard address (perform line of sight accessibility detection on each pedestrian trajectory point to determine whether the billboard is visible), and obtain the visibility probability of the target advertisement at each candidate billboard address. The expression for visibility probability is:

[0065]

[0066] Where, P v (x, y, t) is the visibility probability of the billboard (x, y) observed by the pedestrian point at time t (visibility probability of the target advertisement), ranging from 0 to 1, with a larger value indicating higher visibility; N is the total number of pedestrian trajectory points, which is used to average the visibility contribution of all trajectory points to obtain the overall visibility probability; S vis (i, t) is the visible area ratio from pedestrian point i to the billboard (x, y) in each billboard candidate address at time t; e is a natural constant; α is the light transmittance attenuation coefficient of the building material (e.g., α = 0.2 for glass curtain wall and α = 0.8 for concrete); D(i, x, y) is the Euclidean distance from pedestrian point i to the billboard (x, y).

[0067] More specifically, step S23 includes:

[0068] S231, determining an attenuation coefficient of a target advertisement at each candidate billboard address based on the number of competing advertisements at each candidate billboard address;

[0069] S232, determining a competitiveness correction factor of the target advertisement at each candidate billboard address based on the area and brightness of the competing advertisement at each candidate billboard address;

[0070] S233: Determine a comprehensive interference coefficient of the target advertisement at each candidate billboard address according to the attenuation coefficient and the competitiveness correction factor.

[0071] More specifically, the expression of the comprehensive interference coefficient is:

[0072] β=β1·β2,

[0073] Where β1 is the attenuation coefficient and β2 is the competitiveness correction factor.

[0074] For example, by quantitatively analyzing the dilution effect of competitor advertisements around the target billboard on its exposure effect, the problem of inflated ROI caused by ignoring the density of advertisements in traditional models can be solved. Competitive interference modeling is to obtain the spatial position (latitude and longitude coordinates), physical size (area, height), content type (static / dynamic, video / picture), brightness parameters (cd / m²) of all billboards within a radius of 50-100 meters through the city management database or third-party platform (such as outdoor advertising monitoring system). 2 , affecting visual appeal) and other information, using a nonlinear attention decay model for calculation. The attenuation coefficient of the target ad at each candidate billboard address is determined based on the number of competing ads at each candidate billboard address. The competitiveness correction factor of the target ad at each candidate billboard address is determined based on the area and brightness of the competing ads at each candidate billboard address. The comprehensive interference coefficient of the target ad at each candidate billboard address is determined based on the attenuation coefficient and the competitiveness correction factor.

[0075] The decay coefficient (β1) is an exponential decay based on the advertising density, and its expression is:

[0076]

[0077] The competitiveness correction factor (β2) is used to quantify the difference in content attractiveness of competing ads. Its expression is:

[0078]

[0079] The expression of the comprehensive interference coefficient β (the smaller the β value, the stronger the competitive interference) is:

[0080] β=β1·β2,

[0081] Where, e is a natural constant; N adv is the number of competing product advertisements in the region; λ is the decay rate coefficient (fitted by historical data, for example, it can be set to 0.15); A k is the area of ​​the kth competitor advertisement; B k is the brightness of the kth competitor advertisement; A0 and B0 are the area and brightness of the target advertisement, respectively.

[0082] An embodiment of the present invention discloses a method for determining a billboard site selection. The method obtains site selection data for a plurality of candidate billboard sites for a target advertisement; performs a quantitative exposure analysis on each candidate billboard site based on the site selection data to obtain the exposure of the target advertisement at each candidate billboard site; and determines a billboard site selection plan for the target advertisement based on the exposure. The method can perform a quantitative exposure analysis on the candidate billboard sites based on the site selection data to quantify the exposure of the advertisement at the candidate billboard sites, thereby improving the accuracy of measuring the exposure of the advertisement at each candidate billboard site, thereby enhancing the effectiveness of advertising placement and avoiding waste of advertising resources.

[0083] See also Figure 2 , Figure 2 1 is a schematic structural diagram of a device 10 for determining a location of a billboard provided in an embodiment of the present invention. The device 10 for determining a location of a billboard includes:

[0084] A site selection data acquisition module 11 is used to obtain site selection data of several candidate billboard addresses for a target advertisement;

[0085] Advertisement exposure analysis module 12, configured to perform exposure quantitative analysis on each candidate billboard address based on the site selection data, and obtain the exposure of the target advertisement at each candidate billboard address;

[0086] The advertisement site selection determination module 13 is configured to determine a billboard site selection plan for the target advertisement according to the exposure amount.

[0087] A device 10 for determining the location of a billboard provided in an embodiment of the present invention can implement all processes of the method for determining the location of a billboard in the above-mentioned embodiment. The functions of each module in the device and the technical effects achieved are respectively the same as the functions and technical effects achieved by the method for determining the location of a billboard in the above-mentioned embodiment, and will not be repeated here.

[0088] See also Figure 3 , Figure 32 is a schematic diagram of the structure of a device 20 for determining the location of a billboard provided in an embodiment of the present invention. The device 20 for determining the location of a billboard in this embodiment includes a processor 21, a memory 22, and a computer program stored in the memory 22 and executable on the processor 21. When the processor 21 executes the computer program, the steps of the aforementioned method for determining the location of a billboard are implemented. Alternatively, when the processor 21 executes the computer program, the functions of the modules of the aforementioned device for determining the location of a billboard are implemented.

[0089] For example, the computer program may be divided into one or more modules, which are stored in the memory 22 and executed by the processor 21 to implement the present invention. The one or more modules may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program in the billboard site selection device 20.

[0090] The billboard location determination device 20 can be a computing device such as a desktop computer, laptop, PDA, or cloud server. The billboard location determination device 20 can include, but is not limited to, a processor 21 and a memory 22. Those skilled in the art will appreciate that the schematic diagram is merely an example of the billboard location determination device 20 and does not limit the billboard location determination device 20. The billboard location determination device 20 can include more or fewer components than shown, or a combination of certain components, or different components. For example, the billboard location determination device 20 can also include input and output devices, network access devices, buses, and the like.

[0091] The processor 21 may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor. The processor 21 is the control center of the billboard site selection determination device 20, and utilizes various interfaces and lines to connect various parts of the billboard site selection determination device 20.

[0092] The memory 22 can be used to store the computer programs and / or modules. The processor 21 implements the various functions of the billboard site selection determination device 20 by running or executing the computer programs and / or modules stored in the memory 22 and accessing the data stored in the memory 22. The memory 22 may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function (such as a sound playback function or an image playback function); the data storage area may store data generated based on the use of the mobile phone (such as audio data, a phone book, etc.). Furthermore, the memory 22 may include high-speed random access memory and non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0093] Wherein, if the module integrated in the device 20 for determining the location of the billboard is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor 21, it can implement the steps of the above-mentioned various method embodiments. Wherein, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium can include: any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practices in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practices, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0094] It should be noted that the device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed across multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment. In addition, in the drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art can understand and implement the present invention without inventive effort.

[0095] An embodiment of the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the billboard site determination method as described in the above embodiment.

[0096] In addition, an embodiment of the present invention further provides a computer program product, which is stored in a storage medium and executed by at least one processor to implement the steps of the method for determining the location of a billboard in the above embodiment.

[0097] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for determining the location of a billboard, characterized in that: include: Obtaining location data for several candidate billboard locations for a target advertisement; Performing exposure quantification analysis on each candidate billboard address based on the site selection data to obtain exposure of the target advertisement at each candidate billboard address; A billboard location plan for the target advertisement is determined according to the exposure amount.

2. The method for determining the location of a billboard according to claim 1, wherein: The step of performing exposure quantification analysis on each candidate billboard address according to the site selection data to obtain exposure of the target advertisement at each candidate billboard address includes: Performing sight line analysis and calculation on each candidate billboard address based on the site selection data to obtain a visibility probability of a target advertisement at each candidate billboard address; Determine the exposure weight of the target advertisement at each candidate billboard address based on pedestrian behavior characteristics; Determine the comprehensive interference coefficient of the target advertisement at each candidate billboard address based on the competing advertisements at each candidate billboard address; The exposure amount of the target advertisement at each candidate billboard address is obtained according to the visibility probability, the exposure weight, and the comprehensive interference coefficient.

3. The method for determining the location of a billboard according to claim 1, wherein: The step of determining a billboard location plan for the target advertisement based on the exposure includes: determining the advertising revenue of the target advertisement at each candidate billboard address according to the exposure amount; A billboard site selection plan for the target advertisement is determined based on the advertising cost of each candidate billboard address and the advertising revenue.

4. The method for determining the location of a billboard according to claim 2, wherein: The performing sight line analysis and calculation on each candidate billboard address according to the site selection data to obtain the visibility probability of the target advertisement at each candidate billboard address includes: Simulating the visible area of ​​each billboard candidate address at different time periods using a ray tracing algorithm based on the site selection data; According to the visible area, a sight line analysis calculation is performed on each candidate billboard address to obtain the visibility probability of the target advertisement at each candidate billboard address.

5. The method for determining the location of a billboard according to claim 2, wherein: The step of determining the comprehensive interference coefficient of the target advertisement at each candidate billboard address based on the competing advertisements at each candidate billboard address includes: Determine the attenuation coefficient of the target advertisement at each candidate billboard address based on the number of competing advertisements at each candidate billboard address; Determine the competitiveness correction factor of the target advertisement at each candidate billboard address based on the area and brightness of the competing advertisements at each candidate billboard address; The comprehensive interference coefficient of the target advertisement in each candidate billboard address is determined according to the attenuation coefficient and the competitiveness correction factor.

6. The method for determining the location of a billboard according to claim 5, wherein: The expression of the comprehensive interference coefficient is: β＝β1·β2， Where β1 is the attenuation coefficient and β2 is the competitiveness correction factor.

7. A device for determining the location of a billboard, characterized in that: include: A site selection data acquisition module is used to obtain site selection data of several candidate billboard addresses for target advertisements; An advertising exposure analysis module, configured to perform exposure quantification analysis on each candidate billboard address based on the site selection data to obtain the exposure of the target advertisement at each candidate billboard address; An advertisement site selection determination module is used to determine a billboard site selection plan for the target advertisement according to the exposure amount.

8. A device for determining the location of a billboard, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for determining the location of the billboard according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for determining the location of a billboard according to any one of claims 1 to 6.

10. A computer program product, characterized in that The computer program product is stored in a storage medium, and is executed by at least one processor to implement the steps of the method for determining the location of a billboard according to any one of claims 1 to 6.

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