CN111784395B - Alarm method, device, computing equipment and medium for advertisement income fluctuation - Google Patents
Alarm method, device, computing equipment and medium for advertisement income fluctuation Download PDFInfo
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Abstract
The disclosure provides an alarm method for advertisement income fluctuation, relates to the field of intelligent monitoring, and can be used for a cloud platform or cloud service. The method comprises the following steps: determining whether the fluctuation information of the overall advertising revenue meets an alarm condition; under the condition that the fluctuation information meets the alarm condition, determining the influence degree of advertisements of each of a plurality of categories on the total advertising income, and selecting at least one category of advertisements from the advertisements of the plurality of categories as a target category advertisement based on the influence degree; determining a processing success rate of each of a plurality of processing modules for processing the target category advertisement for the target category advertisement, and selecting at least one processing module from the plurality of processing modules as a target processing module based on the processing success rate; and alarming the processing data generated in the processing process of the target category advertisement based on the target processing module. The disclosure also provides an alarm device, a computing device and a computer readable storage medium for advertisement revenue fluctuation.
Description
Technical Field
The present disclosure relates to the field of intelligent monitoring, and more particularly, to an alarm method for advertisement revenue fluctuation, an alarm device for advertisement revenue fluctuation, a computing device, and a computer-readable storage medium.
Background
The advertisement system is used as a large-scale internet service system, and the complexity of the advertisement system is higher and higher along with the rapid development of services. The overall advertising revenue of an advertising system may be an important indicator of the health and stability of the advertising system. In the related art, the alarm is generally performed based on that fluctuation information of the overall advertising revenue of the advertising system satisfies an alarm condition, which may include that the amount of decrease of the overall advertising revenue reaches an alarm threshold.
Since the fluctuation of the total advertising revenue of the advertising system is caused by various reasons, in practical applications, the fluctuation of the total advertising revenue caused by some reasons is desirable. Because the related technology alarms when the fluctuation information of the total advertising income meets the alarm condition, the expected alarm condition is not considered, so that the alarm is frequent, the alarm accuracy is low, and the time and labor are consumed in the alarm processing process of business personnel.
Disclosure of Invention
In view of this, the present disclosure provides an optimized alert method for advertisement revenue fluctuations, an alert apparatus for advertisement revenue fluctuations, a computing device, and a computer-readable storage medium.
One aspect of the present disclosure provides an alert method for advertisement revenue fluctuation, comprising: determining whether fluctuation information of total advertising revenues including total revenues brought by advertisements of a plurality of categories within a preset time period satisfies an alarm condition, determining a degree of influence of advertisements of each category of the advertisements of the plurality of categories on the total advertising revenues if the fluctuation information satisfies the alarm condition, selecting advertisements of at least one category from the advertisements of the plurality of categories as target category advertisements based on the degree of influence, determining a processing success rate of each of a plurality of processing modules for processing the target category advertisements on the target category advertisements, and selecting at least one processing module from the plurality of processing modules as a target processing module based on the processing success rate, and alarming based on processing data generated in the processing of the target processing module on the target category advertisements.
According to an embodiment of the present disclosure, the above-mentioned preset time period includes a first time period and a second time period after the first time period, and the determining a processing success rate of each of the plurality of processing modules for processing the targeted category advertisement for the targeted category advertisement includes: determining a first ratio between the advertisement quantity of the target class advertisement and the advertisement quantity of the received target class advertisement which are successfully processed by each processing module in a first time period, determining a second ratio between the advertisement quantity of the target class advertisement and the advertisement quantity of the received target class advertisement which are successfully processed by each processing module in a second time period, and calculating a difference value between the first ratio and the second ratio as the processing success rate.
According to an embodiment of the present disclosure, selecting at least one processing module from the plurality of processing modules as the target processing module based on the processing success rate includes: and selecting at least one processing module with a processing success rate larger than or smaller than a preset processing success rate from the plurality of processing modules as a target processing module.
According to an embodiment of the present disclosure, selecting at least one processing module from the plurality of processing modules as the target processing module based on the processing success rate includes: and selecting a preset number of processing modules from the plurality of processing modules as target processing modules, wherein the processing success rate of each selected processing module is larger than or smaller than that of each processing module which is not selected from the plurality of processing modules.
According to an embodiment of the present disclosure, determining the influence degree of the advertisement of each of the plurality of categories on the overall advertisement revenue includes: determining a third ratio between revenue from each category of advertisements and the overall advertising revenue, determining a revenue difference between revenue from each category of advertisements over the first period of time and revenue over the second period of time, and determining a fourth ratio between the revenue difference and revenue over the first period of time, multiplying the third ratio and the fourth ratio to obtain a product as a degree of influence value, the degree of influence value characterizing the degree of influence of each category of advertisements on the overall advertising revenue.
According to an embodiment of the present disclosure, determining, as the targeted category advertisement, an advertisement of at least one category from among the plurality of categories of advertisements based on the influence degree includes: and selecting at least one kind of advertisement with the influence degree value larger than the preset influence degree value from the plurality of kinds of advertisements as a target class advertisement.
According to an embodiment of the present disclosure, determining, as the targeted category advertisement, an advertisement of at least one category from among the plurality of categories of advertisements based on the influence degree includes: and selecting advertisements of a preset number of categories from the advertisements of the plurality of categories as target category advertisements, wherein the influence degree value of the advertisement of each selected category is larger than that of the advertisement of each unselected category in the advertisements of the plurality of categories.
According to an embodiment of the disclosure, the processing data generated in the processing of the target category advertisement by the target processing module includes a first processing failure cause, and the alarming based on the processing data generated in the processing of the target category advertisement by the target processing module includes: determining whether the first processing failure cause is a first preset cause, allowing an alarm for fluctuation information of the overall advertising revenue when the first processing failure cause is determined not to be the first preset cause, and preventing the alarm for fluctuation information of the overall advertising revenue when the first processing failure cause is determined to be the first preset cause.
According to an embodiment of the present disclosure, after selecting at least one processing module from the plurality of processing modules as a target processing module, the method further includes: and determining a plurality of processing sub-modules used for processing the target category advertisement in the target processing module, and selecting at least one processing sub-module from the plurality of processing sub-modules as a target processing sub-module based on the processing success rate of each processing sub-module in the plurality of processing sub-modules for processing the target category advertisement.
According to an embodiment of the present disclosure, the processing data generated in the processing procedure of the target class advertisement by the target processing sub-module includes a second processing failure cause, and the method further includes: determining whether the second processing failure cause is a second preset cause, allowing an alarm for fluctuation information of the overall advertising revenue if the second processing failure cause is determined not to be the second preset cause, and preventing an alarm for fluctuation information of the overall advertising revenue if the second processing failure cause is determined to be the second preset cause.
According to the embodiment of the disclosure, the advertisements in the multiple categories are divided according to advertisement service types.
According to an embodiment of the present disclosure, the above-described various categories of advertisements are classified by advertisers.
Another aspect of the present disclosure provides an alarm device for advertisement revenue fluctuation, comprising: the device comprises a determining module, a first selecting module, a second selecting module and an alarming module. The determining module is used for determining whether fluctuation information of total advertising revenues meets alarm conditions, wherein the total advertising revenues comprise total revenues caused by advertisements of various categories in a preset time period. And the first selection module is used for determining the influence degree of each type of advertisements in the plurality of types of advertisements on the total advertising income under the condition that the fluctuation information meets the alarm condition, and selecting at least one type of advertisements from the plurality of types of advertisements as target type advertisements based on the influence degree. And a second selection module that determines a processing success rate of each of a plurality of processing modules for processing the target category advertisement for the target category advertisement, and selects at least one processing module from the plurality of processing modules as a target processing module based on the processing success rate. And the alarm module is used for alarming based on the processing data generated in the processing process of the target category advertisement by the target processing module.
Another aspect of the present disclosure provides a computing device, comprising: one or more processors; and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as described above.
Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions that, when executed, are configured to implement a method as described above.
Another aspect of the present disclosure provides a computer program comprising computer executable instructions which when executed are for implementing a method as described above.
Another aspect of the present disclosure provides a computer program product comprising a computer program which, when executed by a processor, implements the above method.
According to the embodiment of the disclosure, the method can at least partially solve the technical problems of frequent alarm and low alarm accuracy of the advertising system in the related technology, and therefore can realize the technical effects of preventing the alarm from conforming to the expectation and improving the alarm accuracy.
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The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments thereof with reference to the accompanying drawings in which:
FIG. 1 schematically illustrates a flow chart of an alert method for advertising revenue fluctuations in accordance with an embodiment of the present disclosure;
FIG. 2 schematically illustrates a schematic diagram of determining a processing success rate of a processing module according to an embodiment of the disclosure;
FIG. 3 schematically illustrates a schematic diagram of determining a processing success rate of a processing sub-module according to an embodiment of the disclosure;
FIG. 4A schematically illustrates a flow chart of an alert method for advertisement revenue fluctuations in accordance with another embodiment of the present disclosure;
FIG. 4B schematically illustrates a block diagram of an alert device for advertising revenue fluctuations in accordance with an embodiment of the present disclosure; and
fig. 5 schematically illustrates a block diagram of a computing device adapted to alert for advertising revenue fluctuations in accordance with an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.
Where expressions like at least one of "A, B and C, etc. are used, the expressions should generally be interpreted in accordance with the meaning as commonly understood by those skilled in the art (e.g.," a system having at least one of A, B and C "shall include, but not be limited to, a system having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
The embodiment of the disclosure provides an alarm method for advertisement income fluctuation, relates to the field of intelligent monitoring, and can be used for a cloud platform or cloud service. The method comprises the following steps: determining whether fluctuation information of total advertising revenues meets an alarm condition, wherein the total advertising revenues comprise total revenues brought by advertisements of multiple categories in a preset time period, determining influence degree of advertisements of each category in the advertisements of the multiple categories on the total advertising revenues under the condition that the fluctuation information meets the alarm condition, and selecting advertisements of at least one category from the advertisements of the multiple categories as target category advertisements based on the influence degree. Then, a processing success rate of each of the plurality of processing modules for processing the target category advertisement for the target category advertisement is determined, and at least one processing module from the plurality of processing modules is selected as the target processing module based on the processing success rate. Next, an alarm is raised based on the process data generated during the process of the targeted category advertisement by the targeted processing module.
Fig. 1 schematically illustrates a flow chart of an alert method for advertising revenue fluctuations in accordance with an embodiment of the present disclosure.
As shown in fig. 1, the alarm method for advertisement revenue fluctuation according to the embodiment of the present disclosure may include the following operations S110 to S140.
In operation S110, it is determined whether the fluctuation information of the overall advertisement revenue including the total revenue caused by the advertisement of the plurality of categories for the preset period of time satisfies the alarm condition.
According to embodiments of the present disclosure, the overall advertising revenue is, for example, the overall revenue of the advertising system.
In one embodiment, the fluctuating information of the overall advertising revenue satisfying the alarm condition may be, for example, that the amount of reduction in the overall advertising revenue within a preset time period reaches an alarm threshold. In another embodiment, the preset time period includes, for example, a first time period and a second time period after the first time period. The fluctuation information of the overall advertising revenue may include a ratio between a difference between the overall advertising revenue over the second time period and the overall advertising revenue over the first time period, the ratio characterizing a rate of revenue change of the overall advertising revenue over the second time period relative to the first time period. Wherein the alarm condition may include a preset rate of change. The fluctuating information of the overall advertising revenue satisfies the alarm condition, for example, may be that a revenue change rate of the overall advertising revenue reaches a preset change rate.
According to embodiments of the present disclosure, the overall advertising revenue is comprised of the revenue of multiple categories of advertisements in the advertising system. Wherein, the advertisements of multiple categories may be classified, for example, by advertisement traffic type, or may be classified by advertiser. The advertisement service type includes, for example, an electronic product type advertisement, a travel type advertisement, a food type advertisement, and the like. An advertiser is, for example, a service party in an advertising system that provides advertising services to advertisers, which may include providing advertising display sites. Advertisers collect advertising fees from advertisers as revenue to advertisers by providing advertising services to the advertisers.
In operation S120, in case the fluctuation information satisfies the alarm condition, a degree of influence of advertisements of each of the plurality of categories on the overall advertisement revenue is determined, and advertisements of at least one category from among the plurality of categories are selected as target category advertisements based on the degree of influence.
According to the embodiment of the disclosure, since the advertisement system has advertisements with various categories, when the fluctuation information meets the alarm condition, if alarm analysis is performed for the advertisements with each category, more calculation resources are consumed. The advertisement revenue of each category has a different degree of impact on the overall advertisement revenue, and advertisements of some categories have a lesser degree of impact on the overall advertisement revenue, so that the impact of the categories on the overall advertisement revenue may be ignored. Therefore, the advertisement of at least one category with larger influence on the total advertising income is determined from the advertisements of various categories to serve as the target category advertisement, and the alarm analysis is carried out on the target category advertisement, so that the pertinence of the alarm analysis is improved, and the effect of saving the computing resources is realized.
In operation S130, a processing success rate of each of the plurality of processing modules for processing the target category advertisement for the target category advertisement is determined, and at least one processing module is selected from the plurality of processing modules as a target processing module based on the processing success rate.
According to an embodiment of the present disclosure, an advertisement system, for example, includes a processing module for processing advertisements. In one embodiment, the processing module includes, for example, an advertisement preprocessing module, an advertisement presentation module, an advertisement revenue settlement module, and the like. In an embodiment of the present disclosure, a plurality of processing modules of an advertisement system for processing targeted category advertisements is first determined. Then, a processing success rate of each of the plurality of processing modules to process the targeted category advertisement is determined. Then, at least one processing module with a smaller processing success rate is used as a target processing module.
According to the embodiment of the disclosure, since the number of the processing modules for processing the target category advertisement is large, if each processing module is subjected to alarm analysis, more computing resources are consumed. Therefore, the embodiment of the disclosure can determine the target processing module with lower processing success rate based on the processing success rate of each processing model. The lower the processing success rate of the processing module is, the greater the probability that the processing module has a problem when processing the advertisement of the target category is, and the greater the probability that the processing module gives an alarm. Therefore, the processing module with low success rate of positioning processing is used as a target processing module to further perform alarm analysis, and the pertinence of the alarm analysis can be improved.
Next, in operation S140, an alarm is given based on the processing data generated in the processing of the targeted category advertisement by the targeted processing module.
According to the embodiment of the disclosure, after the target processing module is determined, processing data generated by the target processing module in the process of processing the target category advertisements can be acquired, wherein the processing data can comprise processing conditions for each advertisement in the target category advertisements, and the processing conditions comprise processing time, processing results and the like. The processing result may include processing success or processing failure, among others. When the processing result for a certain advertisement is processing failure, the processing data may further include a processing failure reason. Embodiments of the present disclosure may determine whether to alert for fluctuating information of overall advertising revenue based on processing failure reasons.
It can be appreciated that, in the case that the fluctuation information meets the alarm condition, in order to improve the accuracy of the alarm, the embodiment of the disclosure may determine a target category advertisement with a greater influence on the overall advertisement revenue in the advertisements of the plurality of categories, and determine a target processing module with a lower processing success rate from among the plurality of processing modules for processing the target category advertisement. Then, it is determined whether to allow the alarm based on the target processing module. Through the technical scheme of the embodiment of the disclosure, the problem of frequent alarm is avoided, and the accuracy of the alarm is improved.
Fig. 2 schematically illustrates a schematic diagram of determining a processing success rate of a processing module according to an embodiment of the disclosure.
As shown in fig. 2, the preset time period includes, for example, a first time period and a second time period after the first time period. For example, the first time period is, for example, yesterday, and the second time period is, for example, today.
In the presently disclosed embodiments, the plurality of processing modules includes, for example, processing module 1, processing module 2, processing module 3, and so forth. When the targeted category advertisement is processed by the plurality of processing modules, for example, the targeted category advertisement is processed one by the plurality of processing modules. For example, the processing module 1 processes the target category advertisement first, the processing module 2 is passed to the processing module for processing, the processing module 2 is passed to the processing module 3 for processing, and so on.
Wherein determining a processing success rate for each of the plurality of processing modules for processing the targeted category advertisement for the targeted category advertisement comprises:
a first ratio between the number of advertisements for each processing module to successfully process the targeted category advertisements and the number of advertisements for which the targeted category advertisements were received over a first period of time is determined. As shown in FIG. 2, the processing module 1 receives the advertisement quantity A of the target category advertisements in the first time period 1 The advertisement quantity of the target class advertisement which is successfully processed in the first time period is B 1 The first ratio of the processing module 1 is B 1 /A 1 。
A second ratio between the number of advertisements for which each processing module successfully processes the targeted category advertisements and the number of advertisements for which the targeted category advertisements were received over a second period of time is determined. As shown in FIG. 2, the processing module 1 receives the advertisement quantity A of the target category advertisements in the second time period 2 The advertisement quantity of the target class advertisement which is successfully processed in the second time period is B 2 The second ratio of the processing module 1 is B 2 /A 2 。
Then, a difference between the first ratio and the second ratio is calculated as a processing success rate. For example, the processing success rate of the processing module 1 is a first ratio B 1 /A 1 And a second ratio B 2 /A 2 Difference between them.
Similarly, the first ratio of the processing modules 2 is C 1 /B 1 The second ratio is C 2 /B 2 The processing success rate of the processing module 2 is a first ratio C 1 /B 1 And a second ratio C 2 /B 2 Difference between them. The first ratio of the processing module 3 is D 1 /C 1 The second ratio is D 2 /C 2 The processing success rate of the processing module 3 is a first ratio D 1 /C 1 And a second ratio D 2 /C 2 Difference between them.
In the embodiment of the present disclosure, selecting at least one processing module from a plurality of processing modules as the target processing module based on the processing success rate may include at least two modes, for example.
In one mode, for example, at least one processing module having a processing success rate smaller than a preset processing success rate is selected from a plurality of processing modules as a target processing module. The preset processing success rate is, for example, a specific success rate value set according to the service requirement, and for example, the preset processing success rate may be set to 70%, 80%, or the like.
In another manner, for example, a preset number of processing modules are selected from the plurality of processing modules as the target processing module, and the processing success rate of each selected processing module is smaller than the processing success rate of each processing module not selected from the plurality of processing modules. The preset number is, for example, a specific number set according to the service requirement, and for example, the preset number may be set to 1, 2, or the like.
According to embodiments of the present disclosure, the processing data generated during the processing of the targeted category advertisement by the targeted processing module may include a first processing failure cause.
Wherein alerting based on the process data generated in the process of the targeted category advertisement by the targeted processing module comprises: determining whether the first processing failure cause is a first preset cause, and then, in the case where it is determined that the first processing failure cause is not the first preset cause, allowing an alarm for fluctuation information of the total advertising revenue. In the case where it is determined that the first processing failure cause is the first preset cause, the alarm is blocked for the fluctuation information of the total advertising revenue.
According to the embodiment of the present disclosure, the first preset reason is, for example, a reason preset for the target processing module. In practical application, under the condition that the target processing module fails to process the target service advertisement, if the first processing failure reason is a first preset reason, the failure condition is the expected condition or the service permission condition, the alarm is prevented.
In the embodiment of the disclosure, when the fluctuation information meets the alarm condition, the method can be positioned to the target processing module, and whether to allow the alarm is determined based on the processing result of the advertisement processed by the target processing module, so that the accuracy of the alarm is improved.
According to the embodiments of the present disclosure, after at least one processing module is selected from a plurality of processing modules as a target processing module, the embodiments of the present disclosure may also locate a target processing sub-module of a plurality of processing sub-modules included in the target processing module. Wherein advertisements are processed, e.g., one by one, by a plurality of processing sub-modules as the targeted processing module processes the advertisements.
Fig. 3 schematically illustrates a schematic diagram of determining a processing success rate of a processing sub-module according to an embodiment of the disclosure.
As shown in FIG. 3, a plurality of processing sub-modules in a targeting processing module for processing targeted category advertisements are first determined. For example, the processing module 1 is taken as the target processing module. The processing module 1 comprises, for example, a processing sub-module 1, a processing sub-module 2, a processing sub-module 3, etc.
Then, a processing success rate of each of the plurality of processing sub-modules to process the targeted category advertisement is determined.
For example, for processing sub-module 1, the processing success rate of processing sub-module 1 for targeted category advertisements is first determined.
As shown in fig. 3, the processing sub-module 1 receives the advertisement quantity a of the target category advertisement in the first period of time 1 The advertisement quantity of the target class advertisement is successfully processed in the first time periodE 1 The first ratio of the processing sub-module 1 is E 1 /A 1 。
The advertisement quantity of the target category advertisements received by the processing submodule 1 in the second time period is A 2 The advertisement quantity of the target class advertisement which is successfully processed in the second time period is E 2 The second ratio of the processing sub-module 1 is E 2 /A 2 。
Then, the difference between the first ratio and the second ratio is calculated as the processing success rate of the processing sub-module 1. For example, the processing success rate of the processing sub-module 1 is a first ratio E 1 /A 1 And a second ratio E 2 /A 2 Difference between them.
Similarly, the first ratio of the processing sub-module 2 is F 1 /E 1 A second ratio of F 2 /E 2 The processing success rate of the processing sub-module 2 is a first ratio F 1 /E 1 And a second ratio F 2 /E 2 Difference between them. The first ratio of the processing submodule 3 is B 1 /F 1 A second ratio of B 2 /F 2 The processing success rate of the processing sub-module 3 is a first ratio B 1 /F 1 And a second ratio B 2 /F 2 Difference between them.
Next, at least one processing sub-module from the plurality of processing sub-modules is selected as a target processing sub-module based on a processing success rate of processing the target category advertisement by each of the plurality of processing sub-modules.
In the embodiment of the present disclosure, selecting at least one processing sub-module from the plurality of processing sub-modules as the target processing sub-module based on the processing success rate may include at least two modes, for example.
In one manner, at least one processing sub-module having a processing success rate smaller than a preset processing success rate is selected as the target processing sub-module, for example, from a plurality of processing sub-modules. The preset processing success rate is, for example, a specific success rate value set according to the service requirement, and for example, the preset processing success rate may be set to 70%, 80%, or the like.
In another manner, for example, a preset number of processing sub-modules are selected from the plurality of processing sub-modules as target processing sub-modules, and the processing success rate of each selected processing sub-module is smaller than the processing success rate of each processing sub-module not selected from the plurality of processing sub-modules. The preset number is, for example, a specific number set according to the service requirement, and for example, the preset number may be set to 1, 2, or the like.
The processing sub-module with lower processing success rate shows that the probability of occurrence of problems when the processing sub-module processes the advertisement of the target category is higher, and the probability of alarm caused by the processing sub-module is higher. Therefore, the processing sub-module with low success rate of positioning processing is used as the target processing sub-module to further perform alarm analysis, and the pertinence of the alarm analysis is improved.
According to an embodiment of the present disclosure, the processing data generated during the processing of the targeted category advertisement by the targeted processing sub-module includes a second processing failure cause. Embodiments of the present disclosure may also alert based on the second processing failure cause.
For example, it is determined whether the second processing failure cause is a second preset cause, and then, in the case where it is determined that the second processing failure cause is not the second preset cause, the alarm is allowed for the fluctuation information of the total advertising revenue, and in the case where it is determined that the second processing failure cause is the second preset cause, the alarm is blocked for the fluctuation information of the total advertising revenue.
According to the embodiment of the disclosure, the second preset reason is, for example, a reason preset for the target processing submodule. In practical application, when the target processing sub-module fails to process the target service advertisement, if the second processing failure reason is a second preset reason, the failure condition is the expected condition or the service permission condition, and the alarm is prevented.
In the embodiment of the disclosure, in the case that the fluctuation information meets the alarm condition, the target processing module can be located, and the target processing sub-module in the target processing module can be further located. Then, whether to allow the alarm is determined based on the processing result of the advertisement processed by the target processing sub-module, thereby improving the accuracy of the alarm.
According to an embodiment of the present disclosure, determining the influence degree of each of the plurality of categories of advertisements on the overall advertisement revenue in operation S120 may include:
first, a third ratio between revenue from each category of advertisement and overall advertising revenue is determined. Take one category of advertising as an example. For example, in the past year, the revenue generated by the advertisement of the category is m-ary, the total advertising revenue of the advertising system is n-ary, and the third ratio is r=m/n.
Then, a revenue difference between the revenue of each category of advertisement over the first time period, e.g., yesterday, and the revenue over the second time period, e.g., today, is determined, and a fourth ratio between the revenue difference and the revenue over the first time period is determined. For one category of advertisements, the revenue of the advertisement in the category is p in the first time period, the revenue in the second time period is q, the revenue difference is |q-p|, and the fourth ratio is |q-p|/p. Where q-p represents the absolute value of q-p.
Next, the third ratio and the fourth ratio are multiplied to obtain a product as a degree of influence value that characterizes the degree of influence of each category of advertisement on the overall advertising revenue. For example, for the one category of advertisements, the impact level value for the one category of advertisements is R (|q-p|/p).
According to the embodiment of the disclosure, after determining the influence degree value corresponding to each category of advertisement, at least one category of advertisement with the influence degree value greater than the preset influence degree value can be selected from a plurality of categories of advertisements as the target category advertisement.
For example, a preset number of advertisements of a plurality of categories are selected as target category advertisements from among advertisements of a plurality of categories, and the influence level value of the advertisement of each selected category is greater than the influence level value of the advertisement of each category which is not selected from among advertisements of a plurality of categories.
According to the embodiment of the disclosure, since the advertisement system has a plurality of types of advertisements, when the fluctuation information of the total advertisement income of the advertisement system meets the alarm condition, more computing resources are consumed if the advertisements of each type are analyzed. Accordingly, embodiments of the present disclosure provide for targeting advertisements by determining at least one category of advertisements from among a plurality of categories of advertisements that has a greater impact on overall advertising revenue. And the target processing module with lower processing success rate is further determined from a plurality of processing modules for processing the target category advertisement, so that whether to alarm is determined according to the processing failure reason of the target processing module, thereby avoiding the problem of frequent alarm, avoiding the problem of time and labor consumption in the process of processing the alarm by service personnel, and reducing the labor cost.
Fig. 4A schematically illustrates a flow chart of an alert method for advertisement revenue fluctuations according to another embodiment of the present disclosure.
As shown in fig. 4A, operation S120 in fig. 1 includes operations S121 to S124, operation S130 includes operations S131 to S134, and operation S140 includes operations S141 to S143.
In operation S110, it is determined whether the fluctuation information of the overall advertisement revenue including the total revenue caused by the advertisement of the plurality of categories for the preset period of time satisfies the alarm condition.
In operation S121, a third ratio between revenue due to each category of advertisement and total advertising revenue is determined.
In operation S122, a revenue difference between the revenue of each category of advertisement in the first period of time and the revenue of each category in the second period of time is determined, and a fourth ratio between the revenue difference and the revenue of each category in the first period of time is determined.
In operation S123, the third ratio and the fourth ratio are multiplied to obtain a product as the influence degree value.
In operation S124, at least one category of advertisements having an influence degree value greater than a preset influence degree value is selected from among a plurality of categories of advertisements as a target category of advertisements.
In operation S131, a first ratio between the number of advertisements for which each processing module successfully processes the targeted category advertisements and the number of advertisements for which the targeted category advertisements are received is determined.
In operation S132, it is determined that each processing module successfully processes a second ratio between the advertisement number of the target category advertisement and the advertisement number of the received target category advertisement for a second period of time.
In operation S133, a difference between the first ratio and the second ratio is calculated as a processing success rate.
At least one process module is selected as a target process module from among the plurality of process modules based on the process success rate in operation S134.
In operation S141, it is determined whether the first processing failure cause is a first preset cause.
In operation S142, in case it is determined that the first processing failure cause is not the first preset cause, the fluctuation information for the overall advertising revenue allows an alarm.
In operation S143, in case it is determined that the first processing failure cause is a first preset cause, the fluctuation information for the overall advertising revenue prevents an alarm.
The specific implementation procedure of each operation shown in fig. 4A is described above, and will not be described herein.
Fig. 4B schematically illustrates a block diagram of an alert device for advertising revenue fluctuations in accordance with an embodiment of the present disclosure.
As shown in fig. 4B, an alert device 400 for advertisement revenue fluctuations of an embodiment of the present disclosure includes, for example, a determination module 410, a first selection module 420, a second selection module 430, and an alert module 440.
The determination module 410 may be used to determine whether fluctuating information of overall advertising revenue, including total revenue due to multiple categories of advertisements over a preset period of time, meets an alarm condition. According to an embodiment of the present disclosure, the determining module 410 may perform, for example, the operation S110 described above with reference to fig. 1, which is not described herein.
The first selection module 420 may be configured to determine a degree of influence of each of the plurality of categories of advertisements on the overall advertising revenue in the event that the fluctuation information satisfies the alarm condition, and select at least one category of advertisements from the plurality of categories of advertisements as the targeted category of advertisements based on the degree of influence. According to an embodiment of the present disclosure, the first selection module 420 may perform, for example, operation S120 described above with reference to fig. 1, which is not described herein.
The second selection module 430 may be used to determine a processing success rate for each of a plurality of processing modules for processing the targeted category advertisement for the targeted category advertisement, and select at least one processing module from the plurality of processing modules as the targeted processing module based on the processing success rate. The second selecting module 430 may, for example, perform the operation S130 described above with reference to fig. 1 according to the embodiment of the present disclosure, which is not described herein.
The alert module 440 may be used to alert based on process data generated during the processing of the targeted category advertisement by the targeted processing module. According to an embodiment of the present disclosure, the alarm module 440 may perform, for example, operation S140 described above with reference to fig. 1, which is not described herein.
Any number of modules, sub-modules, units, sub-units, or at least some of the functionality of any number of the sub-units according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented as split into multiple modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system-on-chip, a system-on-substrate, a system-on-package, an Application Specific Integrated Circuit (ASIC), or in any other reasonable manner of hardware or firmware that integrates or encapsulates the circuit, or in any one of or a suitable combination of three of software, hardware, and firmware. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be at least partially implemented as computer program modules, which when executed, may perform the corresponding functions.
For example, any number of the determination module 410, the first selection module 420, the second selection module 430, and the alarm module 440 may be combined in one module to be implemented, or any one of the modules may be split into a plurality of modules. Alternatively, at least some of the functionality of one or more of the modules may be combined with at least some of the functionality of other modules and implemented in one module. According to embodiments of the present disclosure, at least one of the determination module 410, the first selection module 420, the second selection module 430, and the alarm module 440 may be implemented at least in part as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable manner of integrating or packaging the circuitry, or in any one of or a suitable combination of three of software, hardware, and firmware. Alternatively, at least one of the determination module 410, the first selection module 420, the second selection module 430, and the alarm module 440 may be at least partially implemented as a computer program module, which when executed, may perform the corresponding functions.
Fig. 5 schematically illustrates a block diagram of a computing device adapted to alert for advertising revenue fluctuations in accordance with an embodiment of the present disclosure. The computing device illustrated in fig. 5 is merely an example and should not be taken as limiting the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 5, a computing device 500 according to an embodiment of the present disclosure includes a processor 501 that may perform various suitable actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage section 506 into a Random Access Memory (RAM) 503. The processor 501 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 501 may also include on-board memory for caching purposes. The processor 501 may comprise a single processing unit or a plurality of processing units for performing different actions of the method flows according to embodiments of the disclosure.
In the RAM 503, various programs and data required for the operation of the computing device 500 are stored. The processor 501, ROM 502, and RAM 503 are connected to each other by a bus 504. The processor 501 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 502 and/or the RAM 503. Note that the program may be stored in one or more memories other than the ROM 502 and the RAM 503. The processor 501 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in the one or more memories.
According to embodiments of the present disclosure, computing device 500 may also include an input/output (I/O) interface 505, with input/output (I/O) interface 505 also connected to bus 504. Computing device 500 may also include one or more of the following components connected to I/O interface 505: an input section 506 including a keyboard, a mouse, and the like; an output portion 507 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The drive 510 is also connected to the I/O interface 505 as needed. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as needed so that a computer program read therefrom is mounted into the storage section 508 as needed.
According to embodiments of the present disclosure, the method flow according to embodiments of the present disclosure may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program comprising program code for performing the method shown in the flowcharts. In particular, the computer program implements the above-described method when executed by the processor 501. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 509, and/or installed from the removable media 511. The above-described functions defined in the computing device of the embodiments of the present disclosure are performed when the computer program is executed by the processor 501. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.
The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a computer-non-volatile computer-readable storage medium, which may include, for example, but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 502 and/or RAM 503 and/or one or more memories other than ROM 502 and RAM 503 described above.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be combined in various combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.
The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.
Claims (14)
1. An alert method for advertising revenue fluctuations, comprising:
determining whether fluctuation information of total advertising revenues meets an alarm condition, wherein the total advertising revenues comprise total revenues brought by advertisements of various categories in a preset time period;
determining a degree of influence of each of the plurality of categories of advertisements on the overall advertising revenue, and selecting at least one category of advertisements from the plurality of categories of advertisements as a targeted category of advertisements based on the degree of influence, if the fluctuation information satisfies the alarm condition;
determining a processing success rate of each of a plurality of processing modules for processing the targeted category advertisement for the targeted category advertisement, and selecting at least one processing module from the plurality of processing modules as a targeted processing module based on the processing success rate; and
Alerting based on processing data generated by the target processing module during processing of the target category advertisement;
wherein the preset time period includes a first time period and a second time period after the first time period, and the determining a processing success rate of each of the plurality of processing modules for processing the targeted category advertisement for the targeted category advertisement includes:
determining a first ratio between the number of advertisements of the targeted category advertisements and the number of advertisements of the targeted category advertisements received by each processing module in a first time period;
determining a second ratio between each processing module to successfully process the advertisement quantity of the target category advertisement and the advertisement quantity of the target category advertisement in a second time period; and
and calculating the difference between the first ratio and the second ratio as the processing success rate.
2. The method of claim 1, wherein the selecting at least one processing module from the plurality of processing modules as a target processing module based on the processing success rate comprises:
and selecting at least one processing module with a processing success rate smaller than a preset processing success rate from the plurality of processing modules as a target processing module.
3. The method of claim 1, wherein the selecting at least one processing module from the plurality of processing modules as a target processing module based on the processing success rate comprises:
and selecting a preset number of processing modules from the plurality of processing modules as target processing modules, wherein the processing success rate of each selected processing module is smaller than that of each processing module which is not selected from the plurality of processing modules.
4. The method of claim 1, wherein the determining the extent to which each of the plurality of categories of advertisements affects the overall advertising revenue comprises:
determining a third ratio between revenue from said each category of advertisement and said overall advertising revenue;
determining a revenue difference between the revenue of the advertisement of each category over the first period of time and the revenue of the advertisement of the second period of time, and determining a fourth ratio between the revenue difference and the revenue of the advertisement of the first period of time; and
multiplying the third ratio by the fourth ratio to obtain a product as an impact level value, the impact level value characterizing the impact level of each category of advertisement on the overall advertising revenue.
5. The method of claim 4, wherein the determining, based on the degree of influence, at least one category of advertisements from the plurality of categories of advertisements as a targeted category of advertisements comprises:
and selecting at least one kind of advertisement with the influence degree value larger than the preset influence degree value from the plurality of kinds of advertisements as a target class advertisement.
6. The method of claim 4, wherein the determining, based on the degree of influence, at least one category of advertisements from the plurality of categories of advertisements as a targeted category of advertisements comprises:
and selecting advertisements of a preset number of categories from the advertisements of the plurality of categories as target category advertisements, wherein the influence degree value of the advertisement of each selected category is larger than that of the advertisement of each unselected category in the advertisements of the plurality of categories.
7. The method of claim 1, wherein the processing data generated by the target processing module during processing of the target category advertisement includes a first processing failure cause, the alerting based on the processing data generated by the target processing module during processing of the target category advertisement comprising:
Determining whether the first processing failure reason is a first preset reason or not;
allowing an alarm for fluctuation information of the overall advertising revenue in case it is determined that the first processing failure cause is not a first preset cause; and
and in the case that the first processing failure reason is determined to be a first preset reason, preventing an alarm aiming at fluctuation information of the total advertising income.
8. The method of claim 1, wherein after selecting at least one processing module from the plurality of processing modules as a target processing module, the method further comprises:
determining a plurality of processing sub-modules in the target processing module for processing the target category advertisement; and
and selecting at least one processing sub-module from the plurality of processing sub-modules as a target processing sub-module based on the processing success rate of each processing sub-module in the plurality of processing sub-modules for processing the target category advertisement.
9. The method of claim 8, wherein the processing data generated during the processing of the targeted category advertisement by the targeted processing sub-module includes a second processing failure cause, the method further comprising:
Determining whether the second processing failure reason is a second preset reason or not;
allowing an alarm for fluctuation information of the overall advertising revenue in case it is determined that the second processing failure cause is not a second preset cause; and
and in the case that the second processing failure reason is determined to be a second preset reason, preventing an alarm for fluctuation information of the total advertising revenue.
10. The method of any of claims 1 to 9, wherein the plurality of categories of advertisements are partitioned by advertisement traffic type.
11. The method of any of claims 1 to 9, wherein the plurality of categories of advertisements are partitioned by advertiser.
12. An alert device for advertising revenue fluctuations, comprising:
the determining module is used for determining whether fluctuation information of total advertising revenues meets alarm conditions, wherein the total advertising revenues comprise total revenues brought by advertisements of various categories in a preset time period;
a first selection module for determining the influence degree of each of the plurality of categories of advertisements on the total advertising revenue and selecting at least one category of advertisements from the plurality of categories of advertisements as a target category of advertisements based on the influence degree, in the case that the fluctuation information satisfies the alarm condition;
A second selection module that determines a processing success rate of each of a plurality of processing modules for processing the target category advertisement for the target category advertisement, and selects at least one processing module from the plurality of processing modules as a target processing module based on the processing success rate; and
an alarm module for alarming based on the processing data generated in the processing process of the target category advertisement by the target processing module;
wherein the preset time period includes a first time period and a second time period after the first time period; the second selection module determining a processing success rate for each of a plurality of processing modules for processing the targeted category advertisement for the targeted category advertisement includes:
determining a first ratio between the number of advertisements of the targeted category advertisements and the number of advertisements of the targeted category advertisements received by each processing module in a first time period;
determining a second ratio between each processing module to successfully process the advertisement quantity of the target category advertisement and the advertisement quantity of the target category advertisement in a second time period; and
And calculating the difference between the first ratio and the second ratio as the processing success rate.
13. A computing device, comprising:
one or more processors;
a memory for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1 to 11.
14. A computer readable storage medium storing computer executable instructions which when executed are adapted to implement the method of any one of claims 1 to 11.
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