A data service management method and system for advertisement delivery management

Abstract

The application provides a data service management method and system for advertisement delivery management, and belongs to the technical field of data management, and specifically comprises the following steps: according to the association, the existing delivery advertisements of the coincident risk advertisements in each user portrait are associated, and the existing delivery advertisements are taken as associated delivery advertisements; based on the user portrait data of the delivery target of the associated delivery advertisements in each user portrait, the potential user portrait of the delivery user of the coincident risk advertisements is determined; the delivery management method under the potential user portrait is determined according to the potential user portrait data of each delivery user of the coincident risk advertisements; and whether the delivery management method of the coincident risk advertisements under the potential user portrait needs to be updated is determined according to the delivery data of the associated delivery advertisements in each potential user portrait and the delivery management method, so that the touch rate of the delivery processing of the advertisements is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of data management, and particularly relates to a data service management method and system for advertisement delivery management. BACKGROUND

[0002] With the rapid development of the Internet, more and more enterprises pay more and more attention to Internet advertising, and at the same time, the number of users in the Internet platform is large, so how to realize the delivery management of the advertisement to improve the matching degree of the delivery of the advertisement becomes a technical problem to be solved.

[0003] The prior art scheme often carries out targeted delivery processing according to the matching of the type of the advertisement and the user portrait when carrying out the delivery processing of the advertisement, so as to improve the click rate of the advertisement and the conversion rate of the commodity, and specific similar technical schemes are given in CN202510593109.9 “Personalized content recommendation and ROI improvement method and system based on multi-dimensional user portrait” and CN202510476931.7 “Advertisement intelligent delivery method and system based on big data analysis”, but the above technical schemes all have the following technical problems:

[0004] When carrying out the delivery management of the advertisement, the user portrait of the user often needs to be analyzed and processed, and when carrying out the delivery processing of multiple advertisements, the enterprise often delivers multiple advertisements to the same user, which greatly reduces the delivery reach rate of the advertisement on the basis of improving the delivery cost of the advertisement, so it becomes a technical problem to be solved how to determine the user portrait of the target user of the delivery processing of different advertisements on the basis of avoiding repeated delivery.

[0005] To solve the above technical problems, the application provides a data service management method and system for advertisement delivery management. SUMMARY

[0006] To achieve the object of the application, the application adopts the following technical scheme:

[0007] Specifically, the application provides a data service management method for advertisement delivery management, which specifically comprises:

[0008] S1, based on an advertisement to be delivered, determining the association of the advertisement to be delivered with the user portrait of an existing delivered advertisement, and based on the association, when the advertisement to be delivered belongs to a coincident risk advertisement, proceeding to the next step;

[0009] S2 determines the existing associated advertisement of the coincidence risk advertisement in each user portrait according to the association of the coincidence risk advertisement, and takes it as an associated advertisement, and determines the potential user portrait of the user of the coincidence risk advertisement based on the user portrait data of the delivery target of the associated advertisement in each user portrait.

[0010] S3 determines the potential user portrait of the user of each coincidence risk advertisement, determines the delivery management method under the potential user portrait, and determines whether the delivery management method of the coincidence risk advertisement under the potential user portrait needs to be updated according to the delivery data of the associated advertisement in each potential user portrait and the delivery management method.

[0011] The beneficial effects of the present application are:

[0012] The delivery management method under the potential user portrait is determined according to the potential user portrait data of the user of each coincidence risk advertisement, so that the number of coincidence risk advertisements in the potential user portrait is comprehensively considered, the demand degree of the restriction processing in each potential user portrait is evaluated, and the influence on the associated advertisement under the potential user portrait is reduced as much as possible on the basis of ensuring the efficiency and reliability of the delivery processing of the coincidence risk advertisement.

[0013] The delivery management method of the coincidence risk advertisement under the potential user portrait is determined according to the delivery data of the associated advertisement in each potential user portrait and the delivery management method, which not only evaluates the influence of the delivery processing efficiency of the associated advertisement in the potential user portrait after the restriction processing from the perspective of the delivery data, but also considers the delivery management method in each potential user portrait, comprehensively considers the influence of the push processing efficiency of the coincidence risk advertisement after the update processing of the delivery management method, ensures the reliability and efficiency of the push processing, improves the user reach of the delivery processing due to not performing repeated delivery processing on the same user, and reduces the influence on other associated advertisements as much as possible.

[0014] Further, the advertisement to be delivered is an advertisement that has not been delivered.

[0015] Further, the association of the user portrait is determined according to the coincidence of the user portrait of the user of the advertisement to be delivered and the user portrait of the user of the existing advertisement.

[0016] Further, it is determined that the advertisement to be delivered belongs to the coincidence risk advertisement, specifically including:

[0017] determine existing advertising which is placed by the user portrait of the user of the advertising to be placed and which coincides with the user portrait of the user of the advertising to be placed, as coinciding advertising;

[0018] determine the user portrait of the coinciding advertising except for the user portrait of the user of the advertising to be placed, as non-coinciding portrait, by using the user portrait data of the user of the coinciding advertising;

[0019] determine whether the advertising to be placed is coinciding risk advertising based on the non-coinciding portrait of the coinciding advertising.

[0020] Further, when the number of non-coinciding portraits does not meet the requirement, the advertising to be placed is determined as coinciding risk advertising, because the degree of coincidence with the user portrait of the user of the existing advertising is high, so as to avoid pushing multiple advertisements at the same user portrait and improve the user reach rate of the advertisement.

[0021] Further, determine whether the placement management method of the coinciding risk advertising under the potential user portrait needs to be updated, specifically including:

[0022] determine the associated advertising which is placed by the coinciding risk advertising under each potential user portrait and which is limited, as limited advertising, based on the limitation type of the potential user portrait;

[0023] determine the impact advertising in the limited advertising based on the placement data of the limited advertising under each user portrait, and combine the limited potential user portrait data corresponding to the limited advertising to determine the impact advertising in the limited advertising.

[0024] determine the total number of the impact advertising of the coinciding risk advertising under the potential user portrait by using the impact advertising data in each potential user portrait, and determine whether the placement management method under the potential user portrait needs to be updated by combining the limitation type under the potential user portrait.

[0025] In a second aspect, the present application provides a computer system, including a memory and a processor connected in communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to perform the data service management method for advertising placement management.

[0026] Other features and advantages will be set forth in the descriptions that follow, and in part will be apparent from the description and the drawings, or can be learned by practice of the application as claimed.

[0027] To make the above objectives, features and advantages of the present application more apparent, the following will specifically describe a preferred embodiment, and the accompanying drawings will be described in detail as follows. BRIEF DESCRIPTION OF DRAWINGS

[0028] The above and other features and advantages of the present application will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0029] Figure 1 is a flowchart of a data service management method for advertisement delivery management;

[0030] Figure 2 is a flowchart of a method for determining that an advertisement to be delivered belongs to a coincident risk advertisement;

[0031] Figure 3 is a flowchart of a method for determining a potential user portrait of a delivery user of a coincident risk advertisement;

[0032] Figure 4 is a flowchart of a method for determining a delivery management method under a potential user portrait;

[0033] Figure 5 is a framework diagram of a computer system. DETAILED DESCRIPTION

[0034] In order to make the technical personnel in the art better understand the technical solutions in the specification, the technical solutions in the specification will be described clearly and completely below in conjunction with the drawings in the specification. Obviously, the described embodiments are only part of the embodiments of the specification, not all. Based on the embodiments of the specification, all other embodiments obtained by those of ordinary skill in the art without creative labor should be within the scope of protection of the specification.

[0035] Embodiment 1

[0036] As shown in Figure 1 The present application provides a data service management method for advertisement delivery management, specifically comprising:

[0037] S1, based on an advertisement to be delivered, determines the association of the advertisement to be delivered with an existing delivery advertisement user portrait, and when it is determined that the advertisement to be delivered belongs to a coincident risk advertisement based on the association, proceeds to the next step;

[0038] Further, the advertisement to be delivered is an advertisement that has not yet been processed for delivery.

[0039] Further, the association of the user portrait is determined according to the coincidence of the user portrait of the user who launches the to-be-launched advertisement and the user portrait of the user who launches the existing launched advertisement.

[0040] Specifically, as shown in the figure, Figure 2 determining that the to-be-launched advertisement belongs to the coincidence risk advertisement, specifically including:

[0041] determining the existing launched advertisement that exists coincidence with the user portrait of the user who launches the to-be-launched advertisement according to the coincidence of the user portrait of the user who launches the to-be-launched advertisement and the user portrait of the user who launches the existing launched advertisement, and taking it as the coincidence launched advertisement;

[0042] determining the user portrait of the coincidence launched advertisement except the user portrait of the user who launches the to-be-launched advertisement according to the user portrait data of the user who launches the coincidence launched advertisement, and taking it as the non-coincidence portrait;

[0043] determining whether the to-be-launched advertisement belongs to the coincidence risk advertisement based on the non-coincidence portrait of the coincidence launched advertisement.

[0044] It can be understood that when the number of non-coincidence portraits does not meet the requirement and the number of coincidence launched advertisements does not meet the requirement, at this time, the to-be-launched advertisement has a high degree of coincidence with the user portrait of the user who launches the existing launched advertisement, so as to avoid pushing multiple advertisements at the same user portrait and improve the user reach rate of the advertisement, and therefore it is determined that the to-be-launched advertisement belongs to the coincidence risk advertisement.

[0045] In one possible embodiment, if the number of non-coincidence portraits is less than 2 and the number of coincidence launched advertisements is more than 10, it is determined that the to-be-launched advertisement belongs to the coincidence risk advertisement.

[0046] Optionally, determining that the to-be-launched advertisement belongs to the coincidence risk advertisement, specifically including:

[0047] determining the existing launched advertisement that exists coincidence with the user portrait of the user who launches the to-be-launched advertisement according to the coincidence of the user portrait of the user who launches the to-be-launched advertisement and the user portrait of the user who launches the existing launched advertisement, and taking it as the coincidence launched advertisement;

[0048] determining whether the to-be-launched advertisement belongs to the coincidence risk advertisement based on the non-coincidence portrait of the coincidence launched advertisement.

[0049] It should be noted that when the number of coincidently placed advertisements of the to-be-placed advertisement in each user portrait is greater than the preset number of advertisements, it is determined that the to-be-placed advertisement belongs to the coincident risk advertisement.

[0050] S2 determines the existing coincidently placed advertisements of the coincident risk advertisement in each user portrait according to the association condition, and takes the coincidently placed advertisements as associated placed advertisements, and determines the potential user portrait of the placement user of the coincident risk advertisement based on the user portrait data of the placement target of the associated placed advertisements in each user portrait.

[0051] Specifically, as shown in Figure 3 the method for determining the potential user portrait of the placement user of the coincident risk advertisement is:

[0052] determining the associated placed advertisements in the user portrait based on the associated placed advertisements of the coincident risk advertisement in each user portrait;

[0053] determining the user portrait of the remaining placement target of the associated placed advertisements by excluding the placement target of the associated placed advertisements from the user portrait;

[0054] determining whether the user portrait is the potential user portrait of the placement user of the coincident risk advertisement based on the user portrait of the remaining placement target of the associated placed advertisements in the user portrait.

[0055] It can be understood that if the number of the user portraits of the remaining placement target of the associated placed advertisements in the user portrait is too small, if the user portrait is taken as the potential user portrait of the placement user of the coincident risk advertisement, it will inevitably lead to that the number of the user portraits of the processable coincidently placed advertisements is too small, and thus the efficiency of the process of the coincidently placed advertisements will be affected to a certain extent. Therefore, on this basis, the user portrait with the number of the associated placed advertisements of the remaining placement target in the user portrait being less than 2 is taken as the potential user portrait of the placement user of the coincident risk advertisement.

[0056] In one possible embodiment, the user portrait with the number of the associated placed advertisements of the remaining placement target being less than 2 is taken as the potential user portrait of the placement user of the coincident risk advertisement.

[0057] Optionally, the method for determining the potential user portrait of the placement user of the coincident risk advertisement is:

[0058] determine the associated advertisement in the user portrait based on the associated advertisement in the user portrait of the coincidence risk advertisement;

[0059] determine the user portrait of the remaining delivery target of the associated advertisement based on the delivery target of the associated advertisement except the user portrait;

[0060] determine whether the user portrait is the potential user portrait of the delivery user of the coincidence risk advertisement based on the number of the associated advertisement in the user portrait and the user portrait of the remaining delivery target of the associated advertisement.

[0061] It should be noted that, based on the number of the associated advertisement in the user portrait and the user portrait of the remaining delivery target of the associated advertisement, whether the user portrait is the potential user portrait of the delivery user of the coincidence risk advertisement is determined, specifically comprising:

[0062] When the number of the associated advertisement in the user portrait does not meet the requirement, that is, the number of the associated advertisement is too large at this time, which will lead to a large number of associated advertisements affected by the pushing efficiency, it is determined that the user portrait does not belong to the potential user portrait of the delivery user of the coincidence risk advertisement;

[0063] When the number of the associated advertisement in the user portrait meets the requirement, that is, the number of the user portrait of the remaining delivery target of the associated advertisement is determined, the user portrait of the remaining delivery target of the associated advertisement is determined, the average value of the number of the user portrait of the remaining delivery target of the associated advertisement is the maximum, and the preset number of user portraits is used as the potential user portrait of the delivery user of the coincidence risk advertisement.

[0064] S3 determines the delivery management method under the potential user portrait based on the potential user portrait data of the delivery user of each coincidence risk advertisement, to determine whether the delivery management method of the coincidence risk advertisement under the potential user portrait needs to be updated based on the delivery data of the associated advertisement of each potential user portrait in each user portrait and the delivery management method.

[0065] Specifically, as shown in Figure 4 The method for determining the delivery management method under the potential user portrait is:

[0066] determine the coincidence risk advertisement under the potential user portrait based on the potential user portrait data of the delivery user of the coincidence risk advertisement, and use it as the matching risk advertisement;

[0067] determine the adaptation type of the delivery processing of the matching risk advertisement under the potential user portrait based on the number of the coincidence risk advertisement of the matching risk advertisement under other potential user portraits;

[0068] determine the delivery management method under the potential user portrait based on the matching risk advertisement delivery processing adaptation type under the potential user portrait and the user portrait of the associated delivery advertisement adopting the potential user portrait.

[0069] It can be understood that if the number of matching risk advertisements in the potential user portrait is large, i.e., does not meet the requirement, i.e., the number of matching risk advertisements in the potential user portrait is not less than 5, at this time, in order to ensure the efficiency of the delivery processing of the matching risk advertisements, the delivery management method under the potential user portrait is only to perform delivery processing on the matching risk advertisements, specifically, whenever a new delivery target appears under the potential user portrait, the matching risk advertisement that needs to be delivered is replaced and the next matching risk advertisement is delivered.

[0070] It can be understood that when a new delivery target appears in the potential user portrait, the matching risk advertisement A is delivered this time, the matching risk advertisement B is delivered next time, and after all the matching risk advertisements are delivered once, the delivery processing of the matching risk advertisement A is performed.

[0071] In addition, it should be noted that if the number of matching risk advertisements in the potential user portrait meets the requirement, at this time, it is also necessary to determine the adaptation type of the delivery processing of the matching risk advertisements under the potential user portrait, specifically, the adaptation type is determined according to the sorting result of the number of coincident risk advertisements of the matching risk advertisements under the potential user portrait, wherein if the number of coincident risk advertisements of the matching risk advertisements under the potential user portrait is the least among all potential user portraits, it is determined that the adaptation type is push adaptation portrait, wherein if the number of coincident risk advertisements of the matching risk advertisements under the potential user portrait is the second least among all potential user portraits, it is determined that the adaptation type is push demand portrait, and the adaptation type of other potential user portraits is non-adaptation portrait.

[0072] It can be understood that if the number of matching risk advertisements in the potential user portrait is less than 5, at this time, if the number of matching risk advertisements of the push adaptation portrait adaptation type in the potential user portrait does not meet the requirement, i.e., is not less than 3, at this time, the delivery management method under the potential user portrait is only to perform delivery processing on the matching risk advertisements, specifically, whenever a new delivery target appears under the potential user portrait, the matching risk advertisement that needs to be delivered is replaced and the next matching risk advertisement is delivered, thereby ensuring the efficiency of the push processing of the matching risk advertisements, i.e., a type of restriction.

[0073] It should be noted that if the number of matched risk advertisements in the potential user portrait meets the requirement, i.e., is less than 5, if there is no matched risk advertisement of the push adaptation portrait type in the potential user portrait, then all advertisements using the potential user portrait are put in the potential user portrait, and specifically, when a new put-in target appears under the potential user portrait, the advertisement to be put in is replaced by the next advertisement, i.e., three types of restriction types.

[0074] It should be noted that when there is a matched risk advertisement of the push adaptation portrait type in the potential user portrait, the put-in management method of the potential user portrait is determined according to the number of matched risk advertisements of the push adaptation portrait type and the total number of matched risk advertisements in the potential user portrait. It can be understood that when the number of matched risk advertisements of the push adaptation portrait type and the total number of matched risk advertisements in the potential user portrait do not meet the requirement, i.e., are not less than 5, the put-in management method under the potential user portrait is to put in only matched risk advertisements, and specifically, when a new put-in target appears under the potential user portrait, the matched risk advertisement to be put in is replaced by the next matched risk advertisement, thereby ensuring the efficiency of the push processing of the matched risk advertisements.

[0075] It should be noted that when the number of matched risk advertisements of the push adaptation portrait type and the total number of matched risk advertisements in the potential user portrait meet the requirement, the put-in management method under the potential user portrait is to determine the number threshold of the user portrait of the put-in target of the associated put-in advertisement according to the total number. When the number of the user portrait of the put-in target of the associated put-in advertisement is greater than the number threshold, no put-in processing is performed under the potential user, and when the number of the user portrait of the put-in target of the associated put-in advertisement is not greater than the number threshold, put-in processing is performed under the potential user, i.e., two types of restriction types.

[0076] In a possible embodiment, the number threshold of the user portrait of the put-in target of the associated put-in advertisement is determined according to the total number, wherein the greater the total number is, the greater the number threshold is. In a possible embodiment, the number threshold is constructed according to the total number, or can be determined according to the difference between the total number and a preset value, and the preset value is 1.

[0077] Optionally, the determination method of the put-in management method under the potential user portrait is:

[0078] determining a coincident risk advertisement under the potential user portrait, and taking the coincident risk advertisement as a matched risk advertisement;

[0079] determining an adaptation type of the matched risk advertisement under the potential user portrait according to a number of coincident risk advertisements of the matched risk advertisement under other potential user portraits;

[0080] determining a delivery management method under the potential user portrait based on the number of push-adapted-portrait coincident risk advertisements and a user portrait of a delivery target of an associated delivery advertisement adopting the potential user portrait.

[0081] Optionally, when the adaptation type of the delivery process under the potential user portrait is the number of push-adapted-portrait coincident risk advertisements greater than a preset push-advertisement number threshold, the delivery management method under the potential user portrait is to perform delivery processing only on matched risk advertisements, specifically, whenever a new delivery target appears under the potential user portrait, the matched risk advertisement that needs to be processed is replaced, and the next matched risk advertisement is used for delivery processing, so as to ensure the efficiency of the push processing of the matched risk advertisement, that is, a type of restriction.

[0082] Further, when the adaptation type of the delivery process under the potential user portrait is the number of push-adapted-portrait coincident risk advertisements greater than a preset push-advertisement number threshold, the delivery management method of the potential user portrait is determined according to the number of matched risk advertisements of the push-adapted-portrait adaptation type and the total number of matched risk advertisements in the potential user portrait. It can be understood that when the number of matched risk advertisements of the push-adapted-portrait adaptation type and the total number of matched risk advertisements in the potential user portrait do not meet the requirement, that is, not less than 5, the delivery management method under the potential user portrait is to perform delivery processing only on matched risk advertisements, specifically, whenever a new delivery target appears under the potential user portrait, the matched risk advertisement that needs to be processed is replaced, and the next matched risk advertisement is used for delivery processing, so as to ensure the efficiency of the push processing of the matched risk advertisement.

[0083] It should be noted that when the matching risk advertisement of the push adaptation portrait in the potential user portrait satisfies the requirement, the number threshold of the user portrait of the associated advertisement of the delivery target is determined, when the number of the associated advertisement of the delivery target is greater than the number threshold, the delivery processing is not performed under the potential user, and when the number of the associated advertisement of the delivery target is not greater than the number threshold, the delivery processing is performed under the potential user, that is, the second type of restriction.

[0084] Further, the delivery management method of the coincidence risk advertisement under the potential user portrait is determined whether it needs to be updated, which specifically includes:

[0085] Based on the restriction type of the potential user portrait, the associated delivery advertisement of the coincidence risk advertisement under each potential user portrait is determined, and is taken as a restricted delivery advertisement;

[0086] Based on the delivery data of the restricted delivery advertisement in each user portrait, the total number of the restricted delivery advertisement is determined, and the restricted potential user portrait data corresponding to the restricted delivery advertisement is combined to determine the impact delivery advertisement in the restricted delivery advertisement;

[0087] The delivery management method of the coincidence risk advertisement under the potential user portrait is determined whether it needs to be updated by using the restricted delivery advertisement and the impact delivery advertisement data in each potential user portrait.

[0088] It should be noted that the total number of the restricted delivery advertisement is determined according to the total number of the delivery after the delivery processing of the coincidence risk advertisement, that is, the total number of the restricted delivery advertisement after the delivery processing of the coincidence risk advertisement is restricted in some delivery portraits.

[0089] It can be understood that the restricted potential user portrait corresponding to the restricted delivery advertisement is the potential user portrait whose delivery processing of the restricted delivery advertisement is restricted.

[0090] Specifically, the impact delivery advertisement is the restricted delivery advertisement whose total number does not satisfy the requirement and the number of the restricted potential user portrait corresponding to the restricted delivery advertisement does not satisfy the requirement. In a possible embodiment, if the daily average total number of the impact delivery advertisement after the restriction processing is less than 60% of the daily average total number before the restriction processing, and the number of the restricted potential user portrait of the restricted delivery advertisement in the coincidence risk advertisement is not less than 2, the impact delivery advertisement is the restricted delivery advertisement.

[0091] Optionally, the determination of whether the delivery management method of the coincident risk advertisement under the potential user portrait needs updating processing is based on the delivery of the advertisement in each potential user portrait and the influence of the delivery of the advertisement data, and specifically includes:

[0092] When the influence of the delivery of the advertisement data in the potential user portrait does not meet the requirements, that is, the number of the influence of the delivery of the advertisement is large, at this time, in order to reduce the influence on the potential user portrait, it is determined that the delivery management method under the potential user portrait needs updating processing.

[0093] In one possible embodiment, when the number of the influence of the delivery of the advertisement in the potential user portrait is not less than 3, it is determined that the influence of the delivery of the advertisement data in the potential user portrait does not meet the requirements.

[0094] When the influence of the delivery of the advertisement data in the potential user portrait meets the requirements, if the coincident risk advertisement does not exist in the potential user portrait at this time, it is determined that the delivery management method of the coincident risk advertisement under the potential user portrait does not need updating processing.

[0095] Further, if the coincident risk advertisement exists in the potential user portrait, and the total number of the influence of the delivery of the advertisement in each potential user portrait meets the requirements, that is, not more than 2, at this time, it is determined that the delivery management method of the coincident risk advertisement under each potential user portrait does not need updating processing.

[0096] In addition, it needs to be explained that if the total number of the influence of the delivery of the advertisement in each potential user portrait does not meet the requirements, at this time, the number of the potential user portrait of the coincident risk advertisement which does not belong to the three types of restriction is determined, and when there is no number of the potential user portrait which does not belong to the three types of restriction or the number of the potential user portrait which does not belong to the three types of restriction is only 1, at this time, in order to ensure the reliability of the pushing processing of the coincident risk advertisement, it is determined that the delivery management method of the coincident risk advertisement under the potential user portrait does not need updating processing.

[0097] It can also be understood that if the number of potential user portraits not belonging to the three types of restrictions is not only one, if the number of potential user portraits not belonging to the three types of restrictions is three, that is, all potential user portraits not belonging to the three types of restrictions, at this time, the update processing is performed in the potential user portrait affecting the advertising, if the number of potential user portraits not belonging to the three types of restrictions is two, that is, not all potential user portraits not belonging to the three types of restrictions, and the number of potential user portraits not belonging to the three types of restrictions accounts for not less than two-thirds, at this time, the advertising management method under the potential user portrait not belonging to the three types of restrictions with the largest number of affecting advertising needs to be updated.

[0098] It should be noted that when the update processing is needed, the advertising of the potential user portrait affecting the advertising is processed, that is, a new advertising combination is formed with the original advertising, and the advertising is processed according to the original advertising.

[0099] Optionally, determining whether the advertising management method of the coincidence risk advertising under the potential user portrait needs to be updated, specifically comprising:

[0100] Based on the restriction type of the potential user portrait, determine the associated advertising of the potential user portrait affecting the advertising, and take it as the restriction advertising;

[0101] Based on the advertising data of the restriction advertising in each user portrait, determine the total number of the restriction advertising, and combine the potential user portrait data corresponding to the restriction of the restriction advertising to determine the advertising affecting the advertising in the restriction advertising;

[0102] Using the advertising data of the potential user portrait affecting the advertising in each potential user portrait, determine the total number of the advertising affecting the advertising under the potential user portrait, and combine the restriction type under the potential user portrait to determine whether the advertising management method under the potential user portrait needs to be updated.

[0103] It can be understood that when there is no potential user portrait not belonging to the three types of restrictions or the number of potential user portraits not belonging to the three types of restrictions is only one, in order to ensure the reliability of the push processing of the coincidence risk advertising, it is determined that the advertising management method of the coincidence risk advertising under the potential user portrait does not need to be updated.

[0104] Further, if the total number of the influence delivery advertisements of the coincidence risk advertisement under the potential user portrait is less than the preset number threshold, it is determined that the delivery management method of the coincidence risk advertisement under the potential user portrait does not need to be updated.

[0105] It can be understood that if the total number of the influence delivery advertisements of the coincidence risk advertisement under the potential user portrait is not less than the preset number threshold, if the number of the potential user portraits not belonging to the three types of restriction types is not only one, if the number of the potential user portraits not belonging to the three types of restriction types is three, that is, all of the potential user portraits not belonging to the three types of restriction types, at this time, the update processing is performed in the potential user portraits of the influence delivery advertisements, if the number of the potential user portraits not belonging to the three types of restriction types is two, that is, not all of the potential user portraits not belonging to the three types of restriction types, and the proportion of the number of the potential user portraits not belonging to the three types of restriction types is not less than two-thirds, at this time, the delivery management method under the potential user portrait of the largest number of the influence delivery advertisements needs to be updated.

[0106] Embodiment 2

[0107] In a second aspect, as shown in the accompanying drawings, the present application provides a computer system, comprising a memory and a processor connected in communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to perform the above-mentioned data service management method for advertisement delivery management. Figure 5

[0108] The various embodiments in the specification are described in a progressive manner, and the same and similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the difference from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiment.

[0109] The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the acts or steps recited in the claims can be performed in a different order than the order in which they are recited and still accomplish desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve the desired results. In certain implementations, multitasking and parallel processing can be advantageous.

[0110] ​The above merely provides one or more embodiments of the present specification and is not intended to limit the present specification. One of ordinary skill in the art can make various modifications and changes to one or more embodiments of the present specification. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of the present specification should be included in the scope of claims of the present specification.

Claims

1. A data service management method for advertisement delivery management, characterized by, Specifically comprising: Based on the to-be-launched advertisement, determine the association of the to-be-launched advertisement with the user portrait of the existing launched advertisement, and if the to-be-launched advertisement belongs to the coincidence risk advertisement based on the association, proceed to the next step; According to the association, determine the associated launched advertisement of the coincidence risk advertisement in each user portrait, and take it as the associated launched advertisement, and based on the user portrait data of the launched target of the associated launched advertisement in each user portrait, determine the potential user portrait of the launched user of the coincidence risk advertisement; Based on the potential user portrait data of the launched user of each coincidence risk advertisement, determine the launched management method under the potential user portrait, and determine whether the launched management method of the coincidence risk advertisement under the potential user portrait needs to be updated based on the launched data of the associated launched advertisement of each potential user portrait in each user portrait and the launched management method; Determine that the to-be-launched advertisement belongs to the coincidence risk advertisement, specifically comprising: Determine the existing launched advertisement that exists coincidence with the user portrait of the launched user of the to-be-launched advertisement based on the coincidence of the user portrait of the launched user of the to-be-launched advertisement with the user portrait of the launched user of the existing launched advertisement, and take it as the coincidence launched advertisement; Determine the user portrait of the coincidence launched advertisement except for the user portrait of the launched user that coincides with the to-be-launched advertisement based on the user portrait data of the launched user of the coincidence launched advertisement, and take it as the non-coincidence portrait; Determine whether the to-be-launched advertisement belongs to the coincidence risk advertisement based on the non-coincidence portrait of the coincidence launched advertisement; The method for determining the potential user portrait of the launched user of the coincidence risk advertisement is: Determine the associated launched advertisement in the user portrait based on the associated launched advertisement of the coincidence risk advertisement in each user portrait; Determine the user portrait of the remaining launched target of the associated launched advertisement based on the launched target of the associated launched advertisement except for the user portrait; Determine whether the user portrait is the potential user portrait of the launched user of the coincidence risk advertisement based on the user portrait of the remaining launched target of the associated launched advertisement in the user portrait.

2. The data service management method for advertisement serving management according to Claim 1, wherein, The to-be-launched advertisement is an advertisement that has not been launched.

3. The data service management method for advertisement serving management according to Claim 1, wherein, The association of the user portrait is determined according to the coincidence of the user portrait of the launched user of the to-be-launched advertisement with the user portrait of the launched user of the existing launched advertisement.

4. The data service management method for advertisement serving management according to Claim 1, wherein, The method for determining the launched management method under the potential user portrait is: Determine the coincidence risk advertisement under the potential user portrait by using the potential user portrait data of the launched user of the coincidence risk advertisement, and take it as the matching risk advertisement; Determine the adaptation type of the launched processing of the matching risk advertisement under the potential user portrait according to the number of the coincidence risk advertisement under the potential user portrait of the matching risk advertisement in other potential user portraits; Determine a delivery management method under the potential user portrait based on an adaptation type of delivery processing of the matching risk advertisement under the potential user portrait and a user portrait of a delivery target of the associated delivery advertisement adopting the potential user portrait.

5. The data service management method for advertisement serving management according to Claim 1, wherein, The determined method of the delivery management method under the potential user portrait is: Determine a coincident risk advertisement under the potential user portrait by coincident risk advertisement delivery user potential user portrait data, and take it as a matching risk advertisement; Determine an adaptation type of delivery processing of the matching risk advertisement under the potential user portrait according to a number of coincident risk advertisements of the matching risk advertisement under other potential user portraits; Determine a delivery management method under the potential user portrait based on a number of coincident risk advertisements of a push adaptation portrait under the adaptation type of delivery processing and a user portrait of a delivery target of the associated delivery advertisement adopting the potential user portrait.

6. The data service management method for advertisement serving management according to Claim 4, wherein, Determine whether the delivery management method of the coincident risk advertisement under the potential user portrait needs updating processing, specifically including: Determine associated delivery advertisements of the coincident risk advertisement under each potential user portrait that exist delivery restrictions based on a restriction type of the potential user portrait, and take them as restricted delivery advertisements; Determine a total number of restricted delivery advertisements based on delivery data of the restricted delivery advertisements under each user portrait, and determine an impact delivery advertisement in the restricted delivery advertisement in combination with the restricted potential user portrait data corresponding to the restricted delivery advertisement; Determine whether the delivery management method of the coincident risk advertisement under the potential user portrait needs updating processing by using the restricted delivery advertisement and the impact delivery advertisement data in each potential user portrait; The restriction type includes only performing delivery processing on the matching risk advertisement, specifically, whenever a new delivery target appears under the potential user portrait, the matching risk advertisement that needs to be processed is replaced, and the next matching risk advertisement is used for delivery processing, which is a first restriction type; All advertisements adopting the potential user portrait in the potential user portrait are delivered, specifically, whenever a new delivery target appears under the potential user portrait, the advertisement that needs to be processed is replaced, and the next advertisement is used for delivery processing, which is a third restriction type; When the adaptation type in the potential user portrait is a push adaptation portrait matching risk advertisement and the total number of matching risk advertisements meets the requirement, at this time, the delivery management method under the potential user portrait determines a number threshold of the user portrait of the delivery target of the associated delivery advertisement, when the number of the user portrait of the delivery target of the associated delivery advertisement is greater than the number threshold, no delivery processing is performed under the potential user portrait, and when the number of the user portrait of the delivery target of the associated delivery advertisement is not greater than the number threshold, delivery processing is performed under the potential user portrait, which is a second restriction type.

7. The data service management method for advertisement serving management according to Claim 6, wherein, The total number of the limited delivery of the advertisement is determined according to a total number of the coincident risk advertisement after delivery processing.

8. The data service management method for advertisement serving management according to Claim 6, wherein, The limited potential user portrait corresponding to the limited delivery of the advertisement is a potential user portrait whose delivery processing of the limited delivery of the advertisement is limited.

9. A computer system comprising: The memory and the processor connected by communication, and the computer program stored on the memory and capable of running on the processor, characterized in that the processor executes the computer program to perform the data service management method for advertisement delivery management according to any one of claims 1-8.

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