An advertisement device data management method, device, equipment and readable storage medium

Abstract

The application discloses an advertisement equipment data management method, device and equipment and a readable storage medium, and relates to the technical field of Internet of Things advertisement. The method is to first determine at least one selected equipment type and at least one selected advertisement scene according to the equipment type and the advertisement scene of a selected advertisement equipment, determine at least one selected interest point according to the equipment label of the selected advertisement equipment and the correspondence between the interest point and the equipment label, then calculate the corresponding estimated crowd coverage number for each combination of the at least one selected equipment type, the at least one selected advertisement scene and the at least one selected interest point, finally accumulate the estimated crowd coverage total number of the at least one selected advertisement equipment, and output and display, so that the required equipment can be efficiently selected from a large number of advertisement equipments, the estimated crowd coverage total number reflecting the estimated delivery effect can be obtained in time, and the use experience is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of Internet of Things advertising, and particularly relates to an advertising device data management method, device, equipment and readable storage medium. BACKGROUND

[0002] With the development of the Internet of Things advertising industry, advertising investment attracts the participation of many small and medium-sized enterprises, merchants and individuals, so that the advertising system is getting larger and larger, and more and more advertising devices are accessed. How to effectively manage and utilize these advertising devices has become a demand point. In general, advertising devices have multiple tag information, and how to effectively utilize the tag information to classify advertising devices has also become a difficulty of a real demand. If the foregoing demand cannot be met, advertising is put on effective devices, which will adversely affect the placement effect of the advertiser, cause waste of advertising funds, and further lead to the consequences of unrealized traffic and poor user experience. In order to enable advertisers to intuitively obtain advertising device information targeted at advertising reach population, a scheme for dividing advertising devices according to reach population tags and advertising scene tags has emerged.

[0003] In order to achieve the above-mentioned purpose, there are two kinds of schemes for dividing advertising devices according to reach population tags and advertising scene tags in the prior art:

[0004] (A) The device information is simply guided to an excel table, and then the advertising devices are screened by manual grouping, filtering and sorting screening methods. However, this device screening method has the problems of simplicity, low effective utilization rate of devices and narrow coverage. In addition, due to the need for manual operation, the efficiency is low and errors are easy to occur due to the operation of the computer and the proficiency of the individual operation.

[0005] (B) The device information is stored in a database, and then the database is used for simple screening processing. However, this method can effectively utilize limited information, and when the data volume is large, the direct database operation will be slow, and the support for multi-condition combination screening processing will be insufficient. For example, if the advertiser needs to screen the devices based on the life stage, marriage, whether or not having a car, professional subdivision, education, age, visit preference, scene, device category and device type of the reach population, it will not be easy to respond to the processing. SUMMARY

[0006] The application aims to provide an advertising device data management method, device, equipment and readable storage medium, which can solve the problem that the prior art scheme cannot efficiently enable advertisers to intuitively obtain advertising device information targeted at advertising reach population.

[0007] In order to achieve the above-mentioned purpose, the application adopts the following technical scheme:

[0008] In a first aspect, a method for managing advertisement device data is provided, comprising:

[0009] storing the input advertisement device basic information, advertisement device label information, point of interest information, and scene weight information in a database, wherein the advertisement device basic information includes device types and advertisement scenes of each advertisement device in a plurality of advertisement devices, the advertisement device label information includes device labels of the each advertisement device, the point of interest information includes a plurality of points of interest, a correspondence between each point of interest in the plurality of points of interest and a device label, and a number of population covers corresponding to the each point of interest, and the scene weight information includes a plurality of advertisement scenes and weight values of each device type in each advertisement scene in the plurality of advertisement scenes;

[0010] obtaining advertisement filtering conditions input by an advertisement owner, wherein the advertisement filtering conditions include advertisement device basic filtering conditions and / or advertisement device label filtering conditions;

[0011] selecting at least one selected advertisement device meeting the advertisement filtering conditions from the plurality of advertisement devices according to a matching result of the advertisement device basic information and the advertisement device basic filtering conditions and / or a matching result of the advertisement device label information and the advertisement device label filtering conditions;

[0012] determining at least one selected device type and at least one selected advertisement scene according to device types and advertisement scenes of the at least one selected advertisement device, wherein the selected device type refers to a device type corresponding to the selected advertisement device, and the selected advertisement scene refers to an advertisement scene in which the selected advertisement device is located;

[0013] determining at least one selected point of interest according to device labels of the at least one selected advertisement device and a correspondence between points of interest and device labels in the point of interest information, wherein the selected point of interest refers to a point of interest corresponding to the device label of the selected advertisement device;

[0014] calculating a corresponding predicted population cover number for each combination of the at least one selected device type, the at least one selected advertisement scene, and the at least one selected point of interest according to the following formula:

[0015]

[0016] wherein i represents a positive integer, N i represents the predicted population cover number of the ith combination, IF() represents an integer function, N p,i represents a population cover number corresponding to the selected point of interest in the ith combination in the point of interest information, and Wi a weight value corresponding to the selected device type and the selected advertisement scene in the i-th combination in the scene weight information, W total a sum of weight values of all device types under the selected advertisement scene in the i-th combination, M i a total number of selected advertisement devices corresponding to the selected device type and the selected point of interest in the i-th combination, M total a total number of advertisement devices corresponding to the selected device type and the selected point of interest in the i-th combination, η represents W i / W total a preset correction coefficient of negative correlation;

[0017] accumulatively calculating the predicted audience coverage numbers of the respective combinations to obtain a total predicted audience coverage number of the at least one selected advertisement device;

[0018] outputting, to the advertiser, display of the total predicted audience coverage number and the advertisement device basic information and the advertisement device tag information of the at least one selected advertisement device.

[0019] Based on the above summary, a new scheme capable of obtaining a predicted delivery effect corresponding to a screening result when screening advertisement devices is provided, that is, after storing advertisement device basic information, advertisement device tag information, point of interest information and scene weight information into a database and obtaining at least one selected advertisement device according to advertisement screening conditions, at least one selected device type and at least one selected advertisement scene are determined according to the device type of the at least one selected advertisement device and the advertisement scene where the at least one selected advertisement device is located, at least one selected point of interest is determined according to the device tag of the at least one selected advertisement device and the correspondence between the point of interest in the point of interest information and the device tag, a corresponding predicted audience coverage number is calculated for each combination of the at least one selected device type, the at least one selected advertisement scene and the at least one selected point of interest, and finally a total predicted audience coverage number of the at least one selected advertisement device is obtained by accumulation and output for display, so that the required devices can be efficiently screened from a large number of advertisement devices, the total predicted audience coverage number for reflecting the estimated delivery effect can be obtained in time, the advertiser can efficiently and intuitively obtain advertisement device information targeted for advertisement audience reach, the interests of the advertiser can be protected, the use experience of the advertiser can be improved, and the actual application and promotion are facilitated.

[0020] In one possible design, the advertisement device basic information further includes a device unique identifier, a located administrative region, a geometric size, a located latitude and longitude and / or an online state.

[0021] In a possible design, the device label comprises a reach population label and / or a scene label of the advertising device.

[0022] In a possible design, for each combination of the at least one selected device type, the at least one selected advertising scene and the at least one selected interest point, a corresponding expected population coverage number is calculated, comprising:

[0023] For each combination of the at least one selected device type, the at least one selected advertising scene and the at least one selected interest point, it is first determined whether a population coverage number corresponding to the selected interest point in the interest point information is greater than zero, and if so, a corresponding expected population coverage number is calculated according to the following formula:

[0024]

[0025] In the formula, i represents a positive integer, N i represents the expected population coverage number of the ith combination, IF() represents an integer function, N p,i represents the population coverage number corresponding to the selected interest point in the ith combination in the interest point information, W i represents a weight value corresponding to the selected device type and the selected advertising scene in the ith combination in the scene weight information, W total represents a total weight value of all device types in the selected advertising scene in the ith combination, M i represents a total number of selected advertising devices corresponding to the selected device type and the selected interest point in the ith combination, M total represents a total number of advertising devices corresponding to the selected device type and the selected interest point in the ith combination, η represents a preset correction coefficient of negative correlation of W i / W total .

[0026] In a possible design, if it is determined that the population coverage number corresponding to the selected interest point in the ith combination in the interest point information is not greater than zero, the method further comprises:

[0027] For the ith combination, a corresponding expected population coverage number N i is calculated according to the following formula:

[0028]

[0029] In the formula, N t,i represents a pre-stored population coverage number corresponding to the selected device type in the ith combination, represents a total number of selected advertising devices corresponding to the selected device type in the ith combination, represents the total number of advertising devices corresponding to the selected device type in the ith combination.

[0030] In a possible design, the preset correction coefficient η and W i / W total have a negative correlation relationship, including the following:

[0031] When W i / W total is greater than or equal to 1×10 -1 , the preset correction coefficient η takes a value of 10 2 ;

[0032] When W i / W total is less than 1×10 -1 and greater than or equal to 1×10 -2 , the preset correction coefficient η takes a value of 10 3 ;

[0033] When W i / W total is less than 1×10 -2 and greater than or equal to 1×10 -3 , the preset correction coefficient η takes a value of 10 4 ;

[0034] When W i / W total is less than 1×10 -3 and greater than or equal to 1×10 -4 , the preset correction coefficient η takes a value of 10 5 ;

[0035] When W i / W total is less than 1×10 -4 and greater than or equal to 1×10 -5 , the preset correction coefficient η takes a value of 10 6 ;

[0036] When W i / W total is less than 1×10 -5 and greater than or equal to 1×10 -6 , the preset correction coefficient η takes a value of 10 7 .

[0037] In a possible design, after the corresponding predicted population coverage is calculated for each combination of the at least one selected device type, the at least one selected advertising scene, and the at least one selected interest point, the method further includes:

[0038] accumulating and outputting, for each selected sub-item, a total number of predicted population coverage of the at least one selected advertisement device under the corresponding selected sub-item, wherein the each selected sub-item refers to each selected device type in the at least one selected device type, each selected advertisement scene in the at least one selected advertisement scene, or each selected interest point in the at least one selected interest point.

[0039] In a second aspect, an advertisement device data management apparatus is provided, which comprises an information storage module, a condition acquisition module, a screening execution module, a selection determination module, an estimation calculation module, an accumulation calculation module, and an output display module.

[0040] The information storage module is configured to store the input advertisement device basic information, advertisement device tag information, interest point information, and scene weight information in a database, wherein the advertisement device basic information comprises device types and advertisement scenes of each advertisement device in a plurality of advertisement devices, the advertisement device tag information comprises device tags of the each advertisement device, the interest point information comprises a plurality of interest points, a correspondence between each interest point in the plurality of interest points and a device tag, and a population coverage number corresponding to the each interest point, and the scene weight information comprises a plurality of advertisement scenes and weight values of each device type in each advertisement scene in the plurality of advertisement scenes.

[0041] The condition acquisition module is configured to acquire advertisement screening conditions input by an advertisement owner, wherein the advertisement screening conditions comprise advertisement device basic screening conditions and / or advertisement device tag screening conditions.

[0042] The screening execution module is respectively communicatively connected to the information storage module and the condition acquisition module, and is configured to screen at least one selected advertisement device meeting the advertisement screening conditions from the plurality of advertisement devices according to a matching result of the advertisement device basic information and the advertisement device basic screening conditions and / or a matching result of the advertisement device tag information and the advertisement device tag screening conditions.

[0043] The selected determining module is in communication connection with the screening executing module, configured to determine at least one selected device type and at least one selected advertising scene according to the device type and the advertising scene of the at least one selected advertising device, and determine at least one selected interest point according to the device label of the at least one selected advertising device and the correspondence between the interest point and the device label in the interest point information, wherein the selected device type refers to the device type corresponding to the selected advertising device, the selected advertising scene refers to the advertising scene in which the selected advertising device is located, and the selected interest point refers to the interest point corresponding to the device label of the selected advertising device;

[0044] The estimation calculating module is in communication connection with the selected determining module, configured to calculate the predicted crowd coverage number corresponding to each combination of the at least one selected device type, the at least one selected advertising scene and the at least one selected interest point according to the following formula:

[0045]

[0046] wherein i represents a positive integer, N i represents the predicted crowd coverage number of the ith combination, IF() represents an integer function, N p,i represents the crowd coverage number in the interest point information and corresponding to the selected interest point in the ith combination, W i represents the weight value in the scene weight information and corresponding to the selected device type and the selected advertising scene in the ith combination, W total represents the total weight value of all device types in the selected advertising scene in the ith combination, M i represents the total number of selected advertising devices corresponding to the selected device type and the selected interest point in the ith combination, M total represents the total number of advertising devices corresponding to the selected device type and the selected interest point in the ith combination, and η represents the negative correlation between W i / W total a preset correction coefficient of negative correlation;

[0047] The accumulation calculating module is in communication connection with the estimation calculating module, configured to accumulate and calculate the predicted crowd coverage numbers of the combinations to obtain the total predicted crowd coverage number of the at least one selected advertising device.

[0048] The output display module is in communication connection with the screening executing module and the accumulation calculating module respectively, configured to output and display the total predicted crowd coverage number and the advertising device basic information and the advertising device label information of the at least one selected advertising device to the advertiser.

[0049] In a third aspect, the present application provides a computer device comprising a memory, a processor and a transceiver connected in sequence, wherein the memory is configured to store a computer program, the transceiver is configured to transmit and receive messages, and the processor is configured to read the computer program and execute the advertisement device data management method according to any possible design of the first aspect.

[0050] In a fourth aspect, the present application provides a computer readable storage medium having instructions stored thereon, wherein the instructions, when executed on a computer, perform the advertisement device data management method according to any possible design of the first aspect.

[0051] In a fifth aspect, the present application provides a computer program product comprising instructions, wherein the instructions, when executed on a computer, cause the computer to perform the advertisement device data management method according to any possible design of the first aspect.

[0052] The above-mentioned scheme has the following beneficial effects:

[0053] (1) The present application provides a new scheme that can obtain the predicted delivery effect corresponding to the screening result when screening the advertisement device, i.e., after storing the advertisement device basic information, advertisement device tag information, point of interest information and scene weight information into the database and obtaining at least one selected advertisement device according to the advertisement screening condition, first determining at least one selected device type and at least one selected advertisement scene according to the device type and the advertisement scene of the at least one selected advertisement device, and determining at least one selected point of interest according to the device tag of the at least one selected advertisement device and the corresponding relationship between the point of interest and the device tag in the point of interest information, then calculating the corresponding predicted population coverage number for each combination of the at least one selected device type, the at least one selected advertisement scene and the at least one selected point of interest, and finally accumulating the predicted population coverage total number of the at least one selected advertisement device and outputting and displaying it, so that the required device can be efficiently screened from a large number of advertisement devices, the predicted population coverage total number reflecting the estimated delivery effect can be obtained in time, and the advertisement device information targeted for the advertisement reach population can be efficiently and intuitively obtained by the advertiser, which is beneficial to protecting the interests of the advertiser, improving the use experience of the advertiser, and facilitating actual application and promotion.

[0054] (2) The interface for providing the result data can also be provided to provide convenient docking processing for the next step of system input.

[0055] (3) Still can obtain and output the display of the at least one selected advertisement device under different selected device types, different selected advertisement scenes or different selected interest points, so as to further eliminate the selected advertisement device with low delivery effect characteristics, and improve the use experience. BRIEF DESCRIPTION OF DRAWINGS

[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor.

[0057] Figure 1 The flowchart of the advertisement device data management method provided by the embodiments of the present application.

[0058] Figure 2 The structural diagram of the advertisement device data management apparatus provided by the embodiments of the present application.

[0059] Figure 3 The structural diagram of the computer device provided by the embodiments of the present application. DETAILED DESCRIPTION

[0060] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the following will briefly introduce the drawings and the description of the embodiments or the prior art of the present application. Obviously, the following description of the drawings structure is only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor. It should be noted that the description of these embodiment modes is used to help understand the present application, but does not constitute a limitation on the present application.

[0061] It should be understood that although the terms first and second, etc. may be used herein to describe various objects, these objects should not be limited by these terms. These terms are only used to distinguish one object from another object. For example, the first object can be called the second object, and similarly the second object can be called the first object, without departing from the scope of the example embodiments of the present application.

[0062] It should be understood that the term "and / or" that may appear in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, B exists alone, or A and B exist simultaneously. Another example is A, B and / or C, which can mean that any one of A, B, and C or any combination thereof exists. The term " / and" that may appear in this document describes another relationship between related objects, indicating that two relationships can exist. For example, A / and B can mean: A exists alone or A and B exist simultaneously. In addition, the character " / " that may appear in this document generally indicates that the related objects before and after it are in an "or" relationship.

[0063] Example:

[0064] like Figure 1 As shown, the advertising device data management method provided in the first aspect of this embodiment can be executed, but is not limited to, by a computer device with certain computing resources, such as a platform server, a personal computer (PC, referring to a multi-purpose computer of a size, price, and performance suitable for personal use; desktop computers, laptops, mini-laptops, tablets, and ultrabooks are all personal computers), a smartphone, a personal digital assistant (PDA), or a wearable device, etc. Figure 1 As shown, the advertising device data management method may include, but is not limited to, the following steps S1 to S8.

[0065] S1. Store the entered basic information of advertising devices, advertising device tag information, point of interest information, and scene weight information into the database. The basic information of advertising devices includes, but is not limited to, the device type and advertising scene of each advertising device among multiple advertising devices. The advertising device tag information includes, but is not limited to, the device tags of each advertising device. The point of interest information includes, but is not limited to, multiple points of interest, the correspondence between each point of interest and the device tag, and the number of people covered by each point of interest. The scene weight information includes, but is not limited to, multiple advertising scenes and the weight value of each device type in each advertising scene among multiple advertising scenes.

[0066] In the step S1, the storage mode of the advertising device basic information, the advertising device label information, the interest point information and the scene weight information can be specifically entered and stored through the existing information interface. The advertising device basic information is used to describe the basic screening features of the advertising device. Specifically, in addition to the device type (such as outdoor LED large screen, face recognition screen, shared power bank screen, elevator car screen, wall-mounted screen, elevator waiting hall screen, bar large screen, refrigerator screen and / or floor lamp box, etc.) and the advertising scene (such as traffic travel scene, community residential scene, public service scene, education and culture scene, and business office scene, etc.), the advertising device basic information also includes but is not limited to device unique identifier, administrative area (such as province, city, district / county, and township / street, etc.), geometric size (such as width, length, and height, etc.), latitude and longitude, and / or online status, etc. The advertising device basic information is provided by the advertising device owner. For some of the information, routine data cleaning processing is needed when entering, such as: removing extra spaces in each entry, standardizing the province / city / district address (i.e. including the correct province / city / district prefix), etc. The advertising device label information is used to describe the label screening features of the advertising device. Specifically, the device label includes but is not limited to the advertising device reach population label (such as life stage label, marriage label, whether or not having a car label, occupation sub-label, education label, age label, visit preference label and interest point label, etc.) and / or the scene label (such as community resident number label, community average price label, community population label, hotel star label, hotel brand label, hotel type label and hotel price label, etc.). The foregoing label information can be explicit numerical value, or even percentage ratio value (in subsequent condition matching, different numerical value intervals can be used for threshold processing to determine whether the current label meets the screening condition). The interest point information is entered by the device manager based on market research. The interest point can be represented by name and / or location. The correspondence between the interest points and the device labels can be established by system+manual method. The population coverage number is a natural number and can be modified later according to actual use to adjust to a better population coverage rate. The correspondence between the interest points and the device labels is a one-to-many relationship. Since the correspondence between the advertising device and the device label is a one-to-many relationship, the correspondence between the advertising device and the interest point can also be a one-to-many relationship (i.e. the advertising device basic information can also include at least one interest point). The scene weight information is used to reflect the importance of each device type in different occasions, which can be set by the operation or market personnel according to the actual use to set the corresponding weight value.

[0067] S2. Obtain the advertisement filtering conditions input by the advertiser, wherein the advertisement filtering conditions include but are not limited to the advertisement device basic filtering conditions and / or the advertisement device label filtering conditions, etc.

[0068] In the step S2, the advertisement filtering conditions can be obtained through the conventional human-computer interaction mode, wherein the advertisement device basic filtering conditions can be selected according to the specific subdivision contents of the advertisement device basic information, and the advertisement device label filtering conditions can be selected according to the specific subdivision contents of the advertisement device label information, such as selecting the community resident number label, the community average price label, the unmarried label, the car label, the occupation subdivision label, the education label and the age label, etc. to obtain the advertisement device label filtering conditions.

[0069] S3. According to the matching results of the advertisement device basic information and the advertisement device basic filtering conditions and / or the matching results of the advertisement device label information and the advertisement device label filtering conditions, at least one selected advertisement device meeting the advertisement filtering conditions is selected from the plurality of advertisement devices.

[0070] In the step S3, the specific matching process of the advertisement device basic information and the advertisement device basic filtering conditions and / or the specific matching process of the advertisement device label information and the advertisement device label filtering conditions can be obtained according to the existing information matching mode.

[0071] S4. According to the device type of the at least one selected advertisement device and the advertising scene thereof, at least one selected device type and at least one selected advertising scene are determined, wherein the selected device type refers to the device type corresponding to the selected advertisement device, and the selected advertising scene refers to the advertising scene corresponding to the selected advertisement device.

[0072] In the step S4, for example, if the device type of a selected advertisement device is a shared power bank screen and the advertising scene thereof is a community residential scene or a business office scene, the selected device type determined is the shared power bank screen, and the selected advertising scene determined is the community residential scene or the business office scene.

[0073] S5. According to the device label of the at least one selected advertisement device and the corresponding relationship between the interest points and the device labels in the interest point information, at least one selected interest point is determined, wherein the selected interest point refers to the interest point corresponding to the device label of the selected advertisement device.

[0074] In the step S5, for example, if the device tag of a selected advertisement device has the selected community population tag, the community average price tag, the unmarried tag, the car tag, the occupation subdivision tag, the education tag and the age tag, wherein the selected community population tag corresponds to the interest point A, the community average price tag corresponds to the interest point B and the interest point C, the unmarried tag corresponds to the interest point D, the car tag corresponds to the interest point B and the interest point D, the occupation subdivision tag corresponds to the interest point E, the occupation subdivision tag corresponds to the interest point A and the interest point E, the education tag corresponds to the interest point F, and the age tag corresponds to the interest point B and the interest point E, the determined selected interest points are the interest points A-F. In addition, the step S4 and the step S5 have no order limitation, and can be executed synchronously.

[0075] S6. For each combination of the at least one selected device type, the at least one selected advertisement scene and the at least one selected interest point, the corresponding predicted population coverage number is calculated according to the following formula:

[0076]

[0077] wherein i represents a positive integer, N i represents the predicted population coverage number of the ith combination, IF() represents the rounding function, N p,i represents the population coverage number in the interest point information and corresponding to the selected interest point in the ith combination, W i represents the weight value in the scene weight information and corresponding to the selected device type and the selected advertisement scene in the ith combination, W total represents the weight value sum of all device types in the selected advertisement scene in the ith combination, M i represents the total number of selected advertisement devices corresponding to the selected device type and the selected interest point in the ith combination, M total represents the total number of advertisement devices corresponding to the selected device type and the selected interest point in the ith combination, and η represents the preset correction coefficient of the negative correlation. i / W total .

[0078] In the step S6, if there are X selected device types, Y selected advertisement scenes and Z selected interest points, the number of combinations can be X*Y*Z. The rounding function can be, but is not limited to, the downward rounding function, the upward rounding function or the rounding function. Considering N p,iSince is a natural number, it may take the value of zero. Therefore, to ensure successful calculation, specifically, for each combination of the at least one selected device type, the at least one selected advertising scenario, and the at least one selected point of interest, the corresponding expected audience coverage is calculated. This includes, but is not limited to, the following: for each combination of the at least one selected device type, the at least one selected advertising scenario, and the at least one selected point of interest, first determine whether the audience coverage corresponding to the selected point of interest in the point of interest information and the corresponding combination is greater than zero. If so, the corresponding expected audience coverage is calculated according to the following formula:

[0079]

[0080] In the formula, i represents a positive integer, and N i This represents the expected population coverage for the i-th combination, where IF() represents the floor function, and N... p,i W represents the number of people covered in the point of interest information that corresponds to the selected point of interest in the i-th combination. i W represents the weight value in the scene weight information that corresponds to the selected device type and selected advertising scene in the i-th combination. total M represents the sum of weight values ​​for all device types in the selected ad scenario within the i-th combination. i M represents the total number of selected advertising devices corresponding to the selected device type and selected point of interest in the i-th combination. total η represents the total number of advertising devices corresponding to the selected device type and selected point of interest in the i-th combination, and η represents the total number of advertising devices corresponding to W. i / W total A negative correlation preset correction coefficient; and if it is determined that the number of people covered by the selected point of interest in the point of interest information and the i-th combination is not greater than zero, then the method further includes, but is not limited to, calculating the corresponding expected number of people covered N for the i-th combination according to the following formula. i :

[0081]

[0082] In the formula, N t,i This represents the number of pre-stored user groups corresponding to the selected device type in the i-th combination. This represents the total number of selected advertising devices corresponding to the selected device type in the i-th combination. This represents the total number of advertising devices corresponding to the selected device type in the i-th combination. The aforementioned pre-stored audience coverage can be pre-calculated based on previously deployed devices, or provided by partners. Furthermore, specifically, the preset correction coefficient η and W... i / W totala negative correlation, including but not limited to as follows: when W i / W total is greater than or equal to 1x10 -1 , the preset correction coefficient η takes a value of 10 2 ; when W i / W total is less than 1x10 -1 and greater than or equal to 1x10 -2 , the preset correction coefficient η takes a value of 10 3 ; when W i / W total is less than 1x10 -2 and greater than or equal to 1x10 -3 , the preset correction coefficient η takes a value of 10 4 ; when W i / W total is less than 1x10 -3 and greater than or equal to 1x10 -4 , the preset correction coefficient η takes a value of 10 5 ; when W i / W total is less than 1x10 -4 and greater than or equal to 1x10 -5 , the preset correction coefficient η takes a value of 10 6 ; when W i / W total is less than 1x10 -5 and greater than or equal to 1x10 -6 , the preset correction coefficient η takes a value of 10 7 .

[0083] S7. Accumulate the predicted population coverage of each combination to obtain the total predicted population coverage of the at least one selected advertisement device.

[0084] S8. Output to the advertisement owner the total predicted population coverage and the advertisement device basic information and the advertisement device tag information of the at least one selected advertisement device.

[0085] In the step S8, for the at least one selected advertisement device, a corresponding statistical table can also be exported according to the requirements of the advertisement owner, so as to delete the devices that do not meet the requirements. In addition, each factor in the population coverage calculation formula in the system can also be adjusted according to the above output display, so that the selection is more accurate next time.

[0086] Thus, based on the advertisement device data management method described in the foregoing steps S1-S8, a new scheme is provided, which can obtain the predicted delivery effect corresponding to the screening result when screening the advertisement device, i.e., after the advertisement device basic information, the advertisement device tag information, the point of interest information and the scene weight information are stored in the database and at least one selected advertisement device is obtained according to the advertisement screening condition, at least one selected device type and at least one selected advertisement scene are determined according to the device type and the advertisement scene of the at least one selected advertisement device, at least one selected point of interest is determined according to the device tag of the at least one selected advertisement device and the corresponding relationship between the point of interest and the device tag in the point of interest information, the corresponding predicted population coverage number is calculated for each combination of the at least one selected device type, the at least one selected advertisement scene and the at least one selected point of interest, and finally the predicted population coverage total number of the at least one selected advertisement device is obtained by accumulating and outputting, so that the required device can be efficiently screened from a large number of advertisement devices, and the predicted population coverage total number reflecting the estimated delivery effect can be obtained in time, thereby the advertisement owner can efficiently and intuitively obtain the advertisement device information targeted at the advertisement reach population, which is beneficial to protecting the interests of the advertisement owner, improving the use experience of the advertisement owner, facilitating the actual application and promotion. In addition, the interface of the result data can be provided to facilitate the convenient docking processing of the next system input.

[0087] Based on the technical scheme of the foregoing first aspect, the embodiment further provides a possible design one for how to obtain the estimated delivery effect of different selected sub-items, i.e., after the corresponding predicted population coverage number is calculated for each combination of the at least one selected device type, the at least one selected advertisement scene and the at least one selected point of interest, the method further includes: for each selected sub-item, the predicted population coverage numbers of all combinations containing the corresponding selected sub-item are accumulated and calculated to obtain and output to the advertisement owner the predicted population coverage total number of the at least one selected advertisement device under the corresponding selected sub-item, wherein the each selected sub-item refers to each selected device type in the at least one selected device type, each selected advertisement scene in the at least one selected advertisement scene or each selected point of interest in the at least one selected point of interest.

[0088] Thus, based on the foregoing possible design one, the estimated delivery effect of the at least one selected advertisement device under different selected device types, different selected advertisement scenes or different selected points of interest can be obtained and output to the advertisement owner, so that the advertisement owner can further eliminate the selected advertisement device with low delivery effect characteristics and improve the use experience.

[0089] As Figure 2As shown, the second aspect of the present embodiment provides a virtual device for implementing the data management method of the first aspect or possibly designed for the advertisement device, comprising an information storage module, a condition acquisition module, a screening execution module, a selected determination module, an estimation calculation module, an accumulation calculation module and an output display module;

[0090] The information storage module is configured to store the inputted advertisement device basic information, advertisement device label information, interest point information and scene weight information in a database, wherein the advertisement device basic information comprises device types and advertisement scenes of each advertisement device in a plurality of advertisement devices, the advertisement device label information comprises device labels of the each advertisement device, the interest point information comprises a plurality of interest points, a correspondence between each interest point and a device label in the plurality of interest points and a population coverage number corresponding to the each interest point, and the scene weight information comprises a plurality of advertisement scenes and weight values of each device type in each advertisement scene in the plurality of advertisement scenes;

[0091] The condition acquisition module is configured to acquire advertisement screening conditions inputted by an advertisement owner, wherein the advertisement screening conditions comprise advertisement device basic screening conditions and / or advertisement device label screening conditions;

[0092] The screening execution module is communicatively connected to the information storage module and the condition acquisition module, and is configured to screen at least one selected advertisement device meeting the advertisement screening conditions from the plurality of advertisement devices according to a matching result of the advertisement device basic information and the advertisement device basic screening conditions and / or a matching result of the advertisement device label information and the advertisement device label screening conditions;

[0093] The selected determination module is communicatively connected to the screening execution module, and is configured to determine at least one selected device type, at least one selected advertisement scene and at least one selected interest point according to device types and advertisement scenes of the at least one selected advertisement device, device labels of the at least one selected advertisement device and a correspondence between interest points and device labels in the interest point information, wherein the selected device type refers to a device type corresponding to the selected advertisement device, the selected advertisement scene refers to an advertisement scene corresponding to the selected advertisement device, and the selected interest point refers to an interest point corresponding to the device label of the selected advertisement device;

[0094] The estimation calculation module is communicatively connected to the selected determination module, and is configured to calculate a corresponding estimated population coverage number according to the following formula for each combination of the at least one selected device type, the at least one selected advertisement scene and the at least one selected interest point:

[0095]

[0096] wherein i represents a positive integer, N i represents the predicted population coverage number of the ith combination, IF() represents the rounding function, N p,i represents the population coverage number in the point of interest information and corresponding to the selected point of interest in the ith combination, W i represents the weight value in the scene weight information and corresponding to the selected device type and selected advertisement scene in the ith combination, W total represents the weight value sum of all device types under the selected advertisement scene in the ith combination, M i represents the total number of selected advertisement devices corresponding to the selected device type and selected point of interest in the ith combination, M total represents the total number of advertisement devices corresponding to the selected device type and selected point of interest in the ith combination, η represents the ratio of the total number of advertisement devices corresponding to the selected device type and selected point of interest in the ith combination to the total number of selected advertisement devices corresponding to the selected device type and selected point of interest in the ith combination, W i / W total a preset correction coefficient of negative correlation;

[0097] The accumulation calculation module is in communication connection with the estimation calculation module, and is configured to accumulate and calculate the predicted population coverage number of each combination to obtain the predicted population coverage total number of the at least one selected advertisement device.

[0098] The output display module is in communication connection with the screening execution module and the accumulation calculation module respectively, and is configured to output and display the predicted population coverage total number and the advertisement device basic information and the advertisement device tag information of the at least one selected advertisement device to the advertiser.

[0099] The working process, working details and technical effects of the foregoing device provided by the second aspect of the embodiment can be referred to the advertisement device data management method of the first aspect or the possible design, and will not be repeated here.

[0100] As Figure 3As shown, the third aspect of the present embodiment provides a computer device for performing the advertisement equipment data management method as described in the first aspect or possible design one, comprising a memory, a processor and a transceiver connected in sequence, wherein the memory is configured to store a computer program, the transceiver is configured to transceive messages, and the processor is configured to read the computer program and perform the advertisement equipment data management method as described in the first aspect or possible design one. Specifically, the memory can include, but is not limited to, a random-access memory (RAM), a read-only memory (ROM), a flash memory, a first-in first-out memory (FIFO) and / or a first-in last-out memory (FILO), etc.; and the processor can be, but is not limited to, a microprocessor of STM32F105 series. In addition, the computer device can further include, but is not limited to, a power module, a display screen and other necessary components.

[0101] The working process, working details and technical effects of the aforementioned computer device provided by the third aspect of the present embodiment can be referred to the advertisement equipment data management method as described in the first aspect or possible design one, which will not be repeated here.

[0102] The fourth aspect of the present embodiment provides a computer readable storage medium storing instructions of the advertisement equipment data management method as described in the first aspect or possible design one, i.e., the computer readable storage medium stores instructions, and when the instructions run on a computer, the advertisement equipment data management method as described in the first aspect or possible design one is performed. The computer readable storage medium refers to a carrier storing data, which can include, but is not limited to, floppy disks, optical disks, hard disks, flash memories, USB flash drives and / or memory sticks, etc. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable devices.

[0103] The working process, working details and technical effects of the aforementioned computer readable storage medium provided by the fourth aspect of the present embodiment can be referred to the advertisement equipment data management method as described in the first aspect or possible design one, which will not be repeated here.

[0104] The fifth aspect of the present embodiment provides a computer program product containing instructions, which, when running on a computer, causes the computer to perform the advertisement equipment data management method as described in the first aspect or possible design one. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable devices.

[0105] It should be pointed out finally that the above only describes the preferred embodiments of the present application and is not intended to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An advertisement device data management method characterized by comprising: The method comprises the following steps: storing the inputted advertisement device basic information, advertisement device label information, point of interest information and scene weight information in a database, wherein the advertisement device basic information comprises the device type and the advertisement scene of each advertisement device in a plurality of advertisement devices, the advertisement device label information comprises the device label of each advertisement device, the point of interest information comprises a plurality of points of interest, the correspondence between each point of interest and a device label in the plurality of points of interest, and the number of population coverage corresponding to each point of interest, and the scene weight information comprises a plurality of advertisement scenes and the weight value of each device type in each advertisement scene; obtaining the advertisement filtering condition inputted by an advertiser, wherein the advertisement filtering condition comprises an advertisement device basic filtering condition and / or an advertisement device label filtering condition; screening at least one selected advertisement device meeting the advertisement filtering condition from the plurality of advertisement devices according to the matching result of the advertisement device basic information and the advertisement device basic filtering condition and / or the matching result of the advertisement device label information and the advertisement device label filtering condition; determining at least one selected device type and at least one selected advertisement scene according to the device type and the advertisement scene of the at least one selected advertisement device, wherein the selected device type refers to the device type corresponding to the selected advertisement device, and the selected advertisement scene refers to the advertisement scene corresponding to the selected advertisement device; determining at least one selected point of interest according to the device label of the at least one selected advertisement device and the correspondence between the point of interest and the device label in the point of interest information, wherein the selected point of interest refers to the point of interest corresponding to the device label of the selected advertisement device; calculating the corresponding predicted population coverage number for each combination of the at least one selected device type, the at least one selected advertisement scene and the at least one selected point of interest according to the following formula: In the formula, i represents a positive integer, N i represents the predicted number of people covered by the ith combination, IF() represents the rounding function, N p,i represents the number of people covered in the point of interest information and corresponding to the selected point of interest in the ith combination, W i represents the weight value in the scene weight information and corresponding to the selected device type and selected advertisement scene in the ith combination, W total represents the sum of weight values of all device types under the selected advertisement scene in the ith combination, M i represents the total number of selected advertisement devices corresponding to the selected device type and selected point of interest in the ith combination, M total represents the total number of advertisement devices corresponding to the selected device type and selected point of interest in the ith combination, η represents the preset correction coefficient of negative correlation with W i / W total negative correlation cumulatively calculating the predicted population coverage numbers of the combinations to obtain the total predicted population coverage number of the at least one selected advertisement device; outputting the total predicted population coverage number and the advertisement device basic information and / or the advertisement device label information of the at least one selected advertisement device to the advertiser.

2. The advertisement device data management method according to claim 1, characterized by, The advertisement device basic information further comprises a device unique identifier, a located administrative region, a geometric size, a located longitude and latitude and / or an online state.

3. The advertisement device data management method according to claim 1, characterized by, The device label comprises a touch population label of an advertisement device and / or a located scene label.

4. The advertisement device data management method according to claim 1, characterized by, The calculation of the corresponding predicted population coverage number for each combination of the at least one selected device type, the at least one selected advertisement scene and the at least one selected point of interest comprises the following steps: For each combination of the at least one selected device type, the at least one selected advertisement scene and the at least one selected point of interest, first, it is judged whether the number of population coverage corresponding to the selected point of interest in the point of interest information and corresponding to the selected point of interest in the corresponding combination is greater than zero, and if yes, the corresponding predicted population coverage number is calculated according to the following formula: wherein i represents a positive integer, N i represents the predicted number of population covered by the ith combination, IF() represents the rounding function, N p,i represents the number of population covered in the point of interest information and corresponding to the selected point of interest in the ith combination, W i represents the weight value in the scene weight information and corresponding to the selected device type and the selected advertisement scene in the ith combination, W total represents the total weight value of all device types under the selected advertisement scene in the ith combination, M i represents the total number of selected advertisement devices corresponding to the selected device type and the selected point of interest in the ith combination, M total represents the total number of advertisement devices corresponding to the selected device type and the selected point of interest in the ith combination, η represents the ratio of W i / W total a preset correction coefficient of negative correlation.

5. The advertisement device data management method according to claim 4, characterized by, If it is determined that the number of crowd coverage corresponding to the selected interest point in the interest point information and the i-th combination is not greater than zero, the method further comprises: For the ith combination, the corresponding predicted population coverage N is calculated according to the following formula i : In the formula, N t,i represents the pre-stored population coverage corresponding to the selected device type in the ith combination, represents the total number of selected advertisement devices corresponding to the selected device type in the ith combination, represents the total number of advertisement devices corresponding to the selected device type in the ith combination.

6. The advertisement device data management method according to claim 1, characterized by, The preset correction coefficient η and W i / W total have a negative correlation relationship, including the following: When W i / total greater than or equal to 1 x 10 -1 , the preset correction coefficient η takes a value of 10 2 ; When W i / total is less than 1 x 10 -1 and greater than or equal to 1 x 10 -2 , the preset correction coefficient η takes a value of 10 3 ; When W i / total is less than 1 x 10 -2 and greater than or equal to 1 x 10 -3 , the preset correction coefficient η takes a value of 10 4 ; When W i / total is less than 1 x 10 -3 and greater than or equal to 1 x 10 -4 , the preset correction coefficient η takes a value of 10 5 ; When W i / total is less than 1 x 10 -4 and greater than or equal to 1 x 10 -5 , the preset correction coefficient η takes a value of 10 6 ; When W i / W total is less than 1 x 10 -5 and greater than or equal to 1 x 10 -6 , the preset correction coefficient η takes a value of 10 7 .

7. The advertisement device data management method according to claim 1, characterized by, After the expected crowd coverage corresponding to each combination of the at least one selected device type, the at least one selected advertisement scene and the at least one selected interest point is calculated, the method further comprises: For each selected subitem, the expected crowd coverage of all combinations containing the corresponding selected subitem is accumulated to obtain and output to the advertiser the total expected crowd coverage of the at least one selected advertisement device under the corresponding selected subitem, wherein the each selected subitem refers to each selected device type in the at least one selected device type, each selected advertisement scene in the at least one selected advertisement scene or each selected interest point in the at least one selected interest point.

8. An advertisement device data management apparatus characterized by comprising: It comprises an information storage module, a condition acquisition module, a screening execution module, a selected determination module, a prediction calculation module, an accumulation calculation module and an output display module; The information storage module is used to store the input advertisement device basic information, advertisement device tag information, interest point information and scene weight information into the database, wherein the advertisement device basic information contains the device type and the advertisement scene of each advertisement device in a plurality of advertisement devices, the advertisement device tag information contains the device tag of each advertisement device, the interest point information contains a plurality of interest points, the correspondence between each interest point and the device tag in the plurality of interest points and the crowd coverage corresponding to each interest point, and the scene weight information contains a plurality of advertisement scenes and the weight value of each device type in each advertisement scene in the plurality of advertisement scenes; The condition acquisition module is used to acquire the advertisement screening conditions input by the advertiser, wherein the advertisement screening conditions contain advertisement device basic screening conditions and / or advertisement device tag screening conditions; The screening execution module is respectively communicatively connected to the information storage module and the condition acquisition module, and is used to screen at least one selected advertisement device meeting the advertisement screening conditions from the plurality of advertisement devices according to the matching results of the advertisement device basic information and the advertisement device basic screening conditions and / or the matching results of the advertisement device tag information and the advertisement device tag screening conditions; The selected determination module is communicatively connected to the screening execution module, and is used to determine at least one selected device type and at least one selected advertisement scene according to the device type and the advertisement scene of the at least one selected advertisement device, and to determine at least one selected interest point according to the device tag of the at least one selected advertisement device and the correspondence between the interest point and the device tag in the interest point information, wherein the selected device type refers to the device type corresponding to the selected advertisement device, the selected advertisement scene refers to the advertisement scene corresponding to the selected advertisement device, and the selected interest point refers to the interest point corresponding to the device tag of the selected advertisement device. The estimation calculation module is in communication connection with the selection determination module, and is configured to calculate a corresponding predicted crowd coverage number according to the following formula for each combination of the at least one selected device type, the at least one selected advertisement scene and the at least one selected interest point: wherein i represents a positive integer, N i represents the predicted number of people covered by the ith combination, IF() represents the rounding function, N p,i represents the number of people covered in the point of interest information and corresponding to the selected point of interest in the ith combination, W i represents the weight value in the scene weight information and corresponding to the selected device type and the selected advertisement scene in the ith combination, W total represents the sum of weight values of all device types under the selected advertisement scene in the ith combination, M i represents the total number of selected advertisement devices corresponding to the selected device type and the selected point of interest in the ith combination, M total represents the total number of advertisement devices corresponding to the selected device type and the selected point of interest in the ith combination, η represents W i / W total a preset correction coefficient of negative correlation; The accumulation calculation module is in communication connection with the estimation calculation module, and is configured to accumulate the predicted crowd coverage numbers of the combinations to obtain a total predicted crowd coverage number of the at least one selected advertisement device. The output display module is in communication connection with the screening execution module and the accumulation calculation module respectively, and is configured to output and display the total predicted crowd coverage number and the advertisement device basic information and / or the advertisement device tag information of the at least one selected advertisement device to the advertisement owner.

9. A computer device, comprising: The computer readable storage medium has instructions stored thereon, and when the instructions are run on the computer, the advertisement device data management method according to any one of claims 1-7 is executed.

10. A computer-readable storage medium, characterized in that The computer readable storage medium has instructions stored thereon, and when the instructions are run on the computer, the advertisement device data management method according to any one of claims 1-7 is executed.

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