CN113034201A - Real-time early warning method, system and computer based on advertisement putting process - Google Patents

Real-time early warning method, system and computer based on advertisement putting process Download PDF

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Publication number
CN113034201A
CN113034201A CN202110416666.5A CN202110416666A CN113034201A CN 113034201 A CN113034201 A CN 113034201A CN 202110416666 A CN202110416666 A CN 202110416666A CN 113034201 A CN113034201 A CN 113034201A
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China
Prior art keywords
exposure
real
time
early warning
judging
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CN202110416666.5A
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Chinese (zh)
Inventor
宁炳剑
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Guangdong Huanwang Technology Co Ltd
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Guangdong Huanwang Technology Co Ltd
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Priority to CN202110416666.5A priority Critical patent/CN113034201A/en
Publication of CN113034201A publication Critical patent/CN113034201A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0242Determining effectiveness of advertisements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0272Period of advertisement exposure

Abstract

The invention belongs to the technical field of internet advertisement putting, and particularly relates to a real-time early warning method, a real-time early warning system and a real-time early warning computer based on an advertisement putting process, wherein real-time exposure data are acquired; judging whether the current exposure quantity exceeds a preset rule or not according to the real-time exposure data to obtain a judgment result; and performing corresponding early warning operation according to the judgment result. The invention carries out early warning on the problems possibly occurring in the putting by monitoring the putting amount and the total amount of each hour, so that the staff can timely adjust the advertisement exposure according to the problems possibly occurring in the advertisement putting process.

Description

Real-time early warning method, system and computer based on advertisement putting process
Technical Field
The invention belongs to the technical field of internet advertisement putting, and particularly relates to a real-time early warning method, a real-time early warning system and a real-time early warning computer based on an advertisement putting process.
Background
In an advertisement delivery system, some alarm rules are usually present, such as alarm rules of hardware resources such as a CPU, a memory, and a disk of a server, but these are all alarms for hardware, and there may also be alarms of daily delivery volume conditions, such as an alarm of whether the volume is insufficient, but these are generally counted by day and delay is large, so how to count advertisement delivery volume in real time and perform early warning becomes a technical problem to be solved urgently at the present stage.
Disclosure of Invention
In order to solve the problem that the prior art cannot perform real-time early warning in the advertisement putting process, the embodiment of the invention provides the following technical scheme:
in a first aspect, a real-time early warning method based on an advertisement putting process includes:
acquiring real-time exposure data;
judging whether the current exposure quantity exceeds a preset rule or not according to the real-time exposure data to obtain a judgment result;
and performing corresponding early warning operation according to the judgment result.
Further, the acquiring real-time exposure data includes:
extracting key information in the exposure data, and synthesizing exposure according to the key information;
and calculating the exposure corresponding to the current key information according to the exposure.
Further, the key information includes an order number and an exposure time.
Further, the determining, according to the real-time exposure data, whether the current exposure amount exceeds a preset rule to obtain a determination result, includes:
inquiring the current exposure according to a first preset time period;
and if the current exposure amount exceeds 40% of the preset exposure amount, judging the exposure excess amount.
Further, the determining, according to the real-time exposure data, whether the current exposure amount exceeds a preset rule to obtain a determination result, includes:
inquiring historical exposure according to a second preset time period;
and if the historical exposure amount is lower than 40% of the preset exposure amount, judging the exposure shortage.
Further, the performing, according to the judgment result, a corresponding early warning operation includes:
and predicting exposure excess reason information according to the judgment result, and sending the exposure excess reason information to the user terminal.
Further, the performing, according to the judgment result, a corresponding early warning operation includes:
and predicting exposure shortage reason information according to the judgment result, and sending the exposure shortage reason information to the user terminal.
In a second aspect, a real-time early warning system based on advertisement putting process includes:
the acquisition module is used for acquiring real-time exposure data;
the judging module is used for judging whether the current exposure quantity exceeds a preset rule or not according to the real-time exposure data to obtain a judging result;
and the early warning operation module is used for carrying out corresponding early warning operation according to the judgment result.
Further, the judging module comprises:
the first query module is used for querying the current exposure according to a first preset time period;
the exposure excess judging module is used for judging the exposure excess if the current exposure exceeds 40% of the preset exposure;
the second query module queries historical exposure according to a second preset time period;
and the exposure shortage judging module is used for judging the exposure shortage if the historical exposure is lower than 40% of the preset exposure.
In a third aspect, a computer comprises a memory and a processor, the memory having stored therein computer-readable instructions which, when executed by the processor, cause the processor to perform the steps of the method as in any one of the above.
The embodiment of the invention provides a real-time early warning method based on an advertisement putting process, which comprises the steps of obtaining real-time exposure data; judging whether the current exposure quantity exceeds a preset rule or not according to the real-time exposure data to obtain a judgment result; and performing corresponding early warning operation according to the judgment result. The invention carries out early warning on the problems possibly occurring in the putting by monitoring the putting amount and the total amount of each hour, so that the staff can timely adjust the advertisement exposure according to the problems possibly occurring in the advertisement putting process.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a real-time early warning method based on an advertisement delivery process in an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a real-time early warning system based on an advertisement delivery process in an embodiment of the present invention.
Reference numerals
1-an acquisition module; 2-a judging module; 2-1-a first query module; 2-2-exposure excess judging module; 2-3-a second query module; 2-4-exposure shortage judging module; and 3, an early warning operation module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
As shown in fig. 1, a schematic flow chart of a real-time early warning method based on an advertisement delivery process in an embodiment of the present invention includes:
step S101, acquiring real-time exposure data;
further, the acquiring real-time exposure data includes:
extracting key information in the exposure data, and synthesizing exposure according to the key information;
and calculating the exposure corresponding to the current key information according to the exposure.
Wherein the key information includes an order number and an exposure time.
Step S102, judging whether the current exposure quantity exceeds a preset rule or not according to the real-time exposure data to obtain a judgment result;
further, the determining, according to the real-time exposure data, whether the current exposure amount exceeds a preset rule to obtain a determination result, includes:
inquiring the current exposure according to a first preset time period;
and if the current exposure amount exceeds 40% of the preset exposure amount, judging the exposure excess amount.
Further, inquiring historical exposure according to a second preset time period;
and if the historical exposure amount is lower than 40% of the preset exposure amount, judging the exposure shortage.
And S103, performing corresponding early warning operation according to the judgment result.
Further, the performing, according to the judgment result, a corresponding early warning operation includes:
and predicting exposure excess reason information according to the judgment result, and sending the exposure excess reason information to the user terminal.
And further predicting exposure shortage reason information according to the judgment result, and sending the exposure shortage reason information to the user terminal.
The invention provides a real-time early warning method based on an advertisement putting process, which comprises the steps of obtaining real-time exposure data; judging whether the current exposure quantity exceeds a preset rule or not according to the real-time exposure data to obtain a judgment result; and performing corresponding early warning operation according to the judgment result. The method has the advantages that the possible problems of putting are early warned by monitoring the putting amount and the total amount of each hour, so that the exposure of the advertisement can be timely adjusted by workers according to the possible problems in the advertisement putting process.
Before the method is actually executed, the real-time exposure statistical method can comprise the following steps:
step 1, an exposure server acquires terminal exposure request information; sending the exposure request information to a kafka system;
among them, Kafka is an open source stream processing platform developed by Apache software foundation, written by Scala and Java. Kafka is a high-throughput distributed publish-subscribe messaging system that can handle all the action flow data of a consumer in a web site.
Step 2, the kafka system sends the exposure data to a spark distributed real-time computing frame;
among them, Spark is a fast general-purpose computing engine designed specifically for large-scale data processing. An ecosystem which is developed at a high speed and widely applied is formed.
Step 3, extracting the order number and the exposure time of each record by a spark distributed real-time calculation frame through real-time calculation by utilizing a map operator according to the received exposure data;
step 4, combining the order number and the exposure time into key information by a spark distributed real-time calculation frame to obtain the exposure amount;
step 5, calculating the exposure corresponding to the current subscription order number and the preset time through a reduceByKey (_ +) operator;
and 6, adding the calculation result of the step 5 to the result stored by the redis in an increment mode using the redis to obtain the total exposure amount of the current order in the current hour.
When the alarm program inquires exposure, the exposure amount of each hour does not need to be counted temporarily, and the corresponding exposure number can be inquired from redis quickly only by combining the order and the preset time as a key word.
When an advertiser places an order, the background system specifies what the exposure requirement is for one day, such as 240000 exposures, and then allocates the exposure evenly to each hour, which requires 10000 exposures per hour.
For example, the advertiser requires y exposure per day and x 0.. x h exposure per hour, where x 0 represents the exposure required at 0 point, x h represents the required exposure at h hour, h is less than or equal to 23, then the real-time total exposure per day for each order in redis is represented by m, which is currently h hour, 0< h <23
And (4) inquiring at regular time every minute, wherein if m-sum (x [0] +. + x [ h1]) > 40%. sum (x [0] +. + x [ h1]), namely the exposure amount of the current hour exceeds 40% required by the current hour, the problem possibly occurs in exposure statistics or exposure service, and the problem can be sent to the user terminal through short message early warning.
And (3) shortage early warning, namely inquiring data of the last hour in the 1 st minute of each hour, and if m-sum (x [0] +. + x [ h-1]) < 40% + sum (x [0] +. + x [ h-1]), namely the exposure shortage of the previous hour reaches 40%, indicating that operation attention adjustment is required, and sending the data to the user terminal through short message early warning.
The invention is based on real-time early warning in the advertisement putting process, calculates the hour exposure by a spark-based fast calculation and redis atom increment mode, and then formulates a reasonable warning rule, so that whether the system has problems can be quickly found, the problem can be timely solved, and the user putting experience can be improved.
In an embodiment, the present invention further provides a real-time early warning system structure diagram based on an advertisement delivery process, as shown in fig. 2, including:
the acquisition module 1 is used for acquiring real-time exposure data;
the judging module 2 is used for judging whether the current exposure quantity exceeds a preset rule or not according to the real-time exposure data to obtain a judging result;
and the early warning operation module 3 is used for carrying out corresponding early warning operation according to the judgment result.
Further, the judging module comprises:
the first query module 2-1 is used for querying the current exposure according to a first preset time period;
an exposure excess judging module 2-2, configured to judge the exposure excess if the current exposure exceeds 40% of a preset exposure;
the second query module 2-3 queries historical exposure according to a second preset time period;
and the exposure shortage amount judging module 2-4 is used for judging the exposure shortage amount if the historical exposure amount is lower than 40% of the preset exposure amount.
The real-time early warning system based on the advertisement putting process can accurately find whether the system has problems or not in real time, and can quickly inform development or operation, so that unnecessary loss is reduced.
The invention also provides a computer comprising a memory and a processor, the memory having stored therein computer readable instructions which, when executed by the processor, cause the processor to perform the steps of the method of any preceding claim.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.

Claims (10)

1. A real-time early warning method based on an advertisement putting process is characterized by comprising the following steps:
acquiring real-time exposure data;
judging whether the current exposure quantity exceeds a preset rule or not according to the real-time exposure data to obtain a judgment result;
and performing corresponding early warning operation according to the judgment result.
2. The method of claim 1, wherein said acquiring real-time exposure data comprises:
extracting key information in the exposure data, and synthesizing exposure according to the key information;
and calculating the exposure corresponding to the current key information according to the exposure.
3. The method of claim 2, wherein the key information comprises an order number and an exposure time.
4. The method according to claim 1, wherein the determining whether the current exposure amount exceeds a preset rule according to the real-time exposure data to obtain a determination result comprises:
inquiring the current exposure according to a first preset time period;
and if the current exposure amount exceeds 40% of the preset exposure amount, judging the exposure excess amount.
5. The method according to claim 1, wherein the determining whether the current exposure amount exceeds a preset rule according to the real-time exposure data to obtain a determination result comprises:
inquiring historical exposure according to a second preset time period;
and if the historical exposure amount is lower than 40% of the preset exposure amount, judging the exposure shortage.
6. The method according to claim 1, wherein the performing the corresponding pre-warning operation according to the determination result comprises:
and predicting exposure excess reason information according to the judgment result, and sending the exposure excess reason information to the user terminal.
7. The method according to claim 1, wherein the performing the corresponding pre-warning operation according to the determination result comprises:
and predicting exposure shortage reason information according to the judgment result, and sending the exposure shortage reason information to the user terminal.
8. A real-time early warning system based on advertisement putting process, characterized by comprising:
the acquisition module is used for acquiring real-time exposure data;
the judging module is used for judging whether the current exposure quantity exceeds a preset rule or not according to the real-time exposure data to obtain a judging result;
and the early warning operation module is used for carrying out corresponding early warning operation according to the judgment result.
9. The system of claim 8, wherein the determining module comprises:
the first query module is used for querying the current exposure according to a first preset time period;
the exposure excess judging module is used for judging the exposure excess if the current exposure exceeds 40% of the preset exposure;
the second query module queries historical exposure according to a second preset time period;
and the exposure shortage judging module is used for judging the exposure shortage if the historical exposure is lower than 40% of the preset exposure.
10. A computer comprising a memory and a processor, the memory having stored therein computer-readable instructions which, when executed by the processor, cause the processor to perform the steps of the method of any one of claims 1 to 7.
CN202110416666.5A 2021-04-19 2021-04-19 Real-time early warning method, system and computer based on advertisement putting process Pending CN113034201A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114565409A (en) * 2022-03-01 2022-05-31 北京派瑞威行互联技术有限公司 Intelligent early warning method and system for advertisement operation

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JP2008009550A (en) * 2006-06-27 2008-01-17 Hitachi Ltd Advertising exposure control system, advertising exposure control method, advertising exposure control program and advertising exposure control terminal
CN109636477A (en) * 2018-12-18 2019-04-16 北京奇艺世纪科技有限公司 The method for early warning and device of ullage are launched in a kind of advertisement
US20190208103A1 (en) * 2016-07-29 2019-07-04 Guangdong Oppo Mobile Telecommunications Corp. Ltd. Method and device for compositing a plurality of images
CN110097401A (en) * 2019-04-30 2019-08-06 北京奇艺世纪科技有限公司 A kind of advertisement placement method and device
CN111260398A (en) * 2020-01-13 2020-06-09 腾讯科技(深圳)有限公司 Advertisement putting control method and device, electronic equipment and storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008009550A (en) * 2006-06-27 2008-01-17 Hitachi Ltd Advertising exposure control system, advertising exposure control method, advertising exposure control program and advertising exposure control terminal
US20190208103A1 (en) * 2016-07-29 2019-07-04 Guangdong Oppo Mobile Telecommunications Corp. Ltd. Method and device for compositing a plurality of images
CN109636477A (en) * 2018-12-18 2019-04-16 北京奇艺世纪科技有限公司 The method for early warning and device of ullage are launched in a kind of advertisement
CN110097401A (en) * 2019-04-30 2019-08-06 北京奇艺世纪科技有限公司 A kind of advertisement placement method and device
CN111260398A (en) * 2020-01-13 2020-06-09 腾讯科技(深圳)有限公司 Advertisement putting control method and device, electronic equipment and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114565409A (en) * 2022-03-01 2022-05-31 北京派瑞威行互联技术有限公司 Intelligent early warning method and system for advertisement operation

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