CN112001758B - Advertisement interaction page state abnormality monitoring method and device - Google Patents

Advertisement interaction page state abnormality monitoring method and device Download PDF

Info

Publication number
CN112001758B
CN112001758B CN202010872311.2A CN202010872311A CN112001758B CN 112001758 B CN112001758 B CN 112001758B CN 202010872311 A CN202010872311 A CN 202010872311A CN 112001758 B CN112001758 B CN 112001758B
Authority
CN
China
Prior art keywords
advertisement
page
interaction page
advertisement interaction
judging
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010872311.2A
Other languages
Chinese (zh)
Other versions
CN112001758A (en
Inventor
杨斌
王治国
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Doumeng Beijing Technology Co ltd
Original Assignee
Doumeng Beijing Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Doumeng Beijing Technology Co ltd filed Critical Doumeng Beijing Technology Co ltd
Priority to CN202010872311.2A priority Critical patent/CN112001758B/en
Publication of CN112001758A publication Critical patent/CN112001758A/en
Application granted granted Critical
Publication of CN112001758B publication Critical patent/CN112001758B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3051Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/958Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Accounting & Taxation (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • Data Mining & Analysis (AREA)
  • Economics (AREA)
  • Computing Systems (AREA)
  • Quality & Reliability (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The application provides a state anomaly monitoring method of an advertisement interaction page, which comprises the following steps: acquiring corresponding advertisement interaction page issuing data under a certain browser according to an instruction for requesting the advertisement interaction page, and counting according to the advertisement interaction page issuing data to obtain corresponding first quantity; monitoring a second quantity of the advertisement interaction page issuing data which is normally loaded in the advertisement position; comparing the first quantity with the second quantity to obtain a judging result, and determining whether the advertisement interaction page is in a loading abnormal state according to the judging result: when the advertisement interaction page is in the abnormal loading state, an abnormal notification is issued and the data issued by the advertisement interaction page is changed. According to the method for monitoring the state abnormality of the advertisement interaction page, the loading abnormality of the advertisement interaction page is monitored, so that the advertisement interaction page can be timely found to be loaded abnormally in a certain browser, and development and operation staff can timely master abnormal information; and abnormal information can be automatically changed, so that the advertising interactive page throwing effect is enhanced.

Description

Advertisement interaction page state abnormality monitoring method and device
Technical Field
The present disclosure relates to the field of advertisements, and in particular, to a method and an apparatus for monitoring status anomalies of an advertisement interaction page.
Background
The H5 interactive advertisement is an advertisement page manufactured by adopting the 5-generation HMTL language, and the browser displays the content of the advertisement page by decoding the HTML. The existing H5 interactive advertisement is displayed in the form of: the mobile terminal accesses the advertisement entrance link of the H5 interactive advertisement at the appointed advertisement position, the user clicks the advertisement entrance and then requests the advertisement interactive page to the server terminal and simultaneously sends the browser information, and the server issues the corresponding advertisement interactive page according to the browser information. And after the user clicks the advertisement interaction page to interact, the user requests the advertisement interaction page data and displays the advertisement interaction page data, so that the issuing of the advertisement is completed.
In the process of delivering interactive advertisements, the advertisement interactive pages are normally delivered in a certain browser and load the effectiveness of advertisement delivery related to advertisement positions. However, in the prior art, the abnormal phenomenon of the advertisement interactive page in the process of throwing is not detected by the related technology, so that the throwing effect of the advertisement interactive page cannot be mastered in time.
Disclosure of Invention
The embodiment of the application provides a method and a device for monitoring state abnormality of an advertisement interaction page, which are used for solving the problems in the related art, and the technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a method for monitoring status anomalies of an advertisement interaction page, including:
acquiring corresponding advertisement interaction page issuing data under a certain browser according to an instruction for requesting the advertisement interaction page, and counting according to the advertisement interaction page issuing data to obtain corresponding first quantity; monitoring the second quantity of the advertisement interaction page issuing data which is normally loaded in the advertisement position;
comparing the first quantity with the second quantity to obtain a judging result, and determining whether the advertisement interaction page is in a loading abnormal state according to the judging result:
when the advertisement interaction page is in a loading abnormal state, an abnormal notification is issued and the data issued by the advertisement interaction page is changed.
In an embodiment, the advertisement interactive page issuing data includes browser information and interactive page information, the browser information includes a name and a version of the browser, and the interactive page information includes a link and an identification number of the advertisement interactive page.
In an embodiment, the first number of obtaining means is: and counting the number of the identification numbers corresponding to the advertisement interaction pages under the browser with the same name and version, and obtaining the first number after counting and summarizing.
In an embodiment, before said comparing the first number with the second number, the method further comprises: judging whether the first quantity is larger than a preset trigger number lower limit or not, and entering a comparison judging step when the first quantity is larger than the preset trigger number lower limit; and when the first quantity is smaller than the lower limit of the preset trigger number, issuing a normal notification.
In an embodiment, the determining the first number and the second number, and determining whether the advertisement interaction page is abnormally loaded according to a determination result includes:
calculating a first calculated error coefficient according to the ratio of the first quantity to the second quantity;
comparing and judging the first calculated error coefficient with a first preset error coefficient: and when the first calculation error system is smaller than the first preset error coefficient, judging that the advertisement interaction page is abnormally loaded.
In an embodiment, the determining the first number and the second number, and determining whether the advertisement interaction page is abnormally loaded according to a determination result includes:
calculating a second calculated error coefficient according to the difference between the first number and the second number;
comparing and judging the second calculated error coefficient with a second preset error coefficient: and when the second calculated error coefficient is larger than the second preset error coefficient, judging that the advertisement interaction page is abnormally loaded.
In an embodiment, the changing the advertisement interaction page delivery data specifically includes: recording the advertisement interaction page corresponding to the abnormal state, and replacing the address of the advertisement interaction page or the corresponding domain name.
In a second aspect, an embodiment of the present application provides a status anomaly monitoring device for an advertisement interaction page, including:
the quantity acquisition module is used for acquiring corresponding advertisement interaction page issuing data under a certain browser according to an instruction of requesting the advertisement interaction page, and counting according to the advertisement interaction page issuing data to obtain corresponding first quantity; monitoring the second quantity of the advertisement interaction page issuing data which is normally loaded in the advertisement position;
the abnormality judging module is used for comparing the first quantity with the second quantity to obtain a judging result, and determining whether the advertisement interaction page is in a loading abnormal state according to the judging result:
and the exception handling module is used for issuing an exception notification and changing the data issued by the advertisement interaction page when the advertisement interaction page is in a loading exception state.
In an embodiment, further comprising:
the information setting module is used for sending data including browser information and interactive page information, wherein the browser information comprises the name and version of the browser, and the interactive page information comprises the links of the advertisement interactive page and the identification number of the identification card.
In an embodiment, the number acquisition module further includes:
the first quantity counting unit is used for counting the identification numbers corresponding to the advertisement interaction pages under the browser with the same name and version, and obtaining the first quantity after counting and summarizing.
In an embodiment, further comprising: the trigger judging module is used for judging whether the first quantity is larger than a preset trigger number lower limit or not, and entering a comparison judging step when the first quantity is larger than the preset trigger number lower limit; and when the first quantity is smaller than the lower limit of the preset trigger number, issuing a normal notification.
In an embodiment, the anomaly determination module further includes:
a first coefficient calculating unit for calculating a first calculation error coefficient according to a ratio of the first number to the second number;
the first comparison judging unit is used for comparing and judging the first calculated error coefficient with a first preset error coefficient: and when the first calculation error system is smaller than the first preset error coefficient, judging that the advertisement interaction page is abnormally loaded.
In an embodiment, the anomaly determination module further includes:
a second coefficient calculation unit configured to calculate a second calculation error coefficient according to a difference between the first number and the second number;
the second comparison and judgment unit is used for comparing and judging the second calculated error coefficient with a second preset error coefficient: and when the second calculated error coefficient is larger than the second preset error coefficient, judging that the advertisement interaction page is abnormally loaded.
In an embodiment, the exception handling module further includes:
and the information replacement unit is used for recording the advertisement interaction page corresponding to the abnormal state and replacing the address of the advertisement interaction page or the corresponding domain name.
The advantages or beneficial effects in the technical scheme at least comprise: according to the method for monitoring the state abnormality of the advertisement interaction page, the loading abnormality of the advertisement interaction page is monitored, so that the advertisement interaction page can be timely found to be loaded abnormally in a certain browser, and development and operation staff can timely master abnormal information; and abnormal information can be automatically changed, so that the advertising interactive page throwing effect is enhanced.
The foregoing summary is for the purpose of the specification only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the present application will become apparent by reference to the drawings and the following detailed description.
Drawings
In the drawings, the same reference numerals refer to the same or similar parts or elements throughout the several views unless otherwise specified. The figures are not necessarily drawn to scale. It is appreciated that these drawings depict only some embodiments according to the disclosure and are not therefore to be considered limiting of its scope.
Fig. 1 is a flowchart of a method for monitoring status anomalies of an advertisement interaction page according to a first embodiment of the present application.
Fig. 2 is a flowchart of a method for monitoring status anomalies of an advertisement interaction page according to a second embodiment of the present application.
Fig. 3 is a flowchart of an abnormality determination method according to a third embodiment of the present application.
Fig. 4 is a flowchart of an abnormality determination method according to a fourth embodiment of the present application.
Fig. 5 is a schematic structural diagram of a status anomaly monitoring device for an advertisement interactive page according to a fifth embodiment of the present application.
Fig. 6 is a schematic structural diagram of a status anomaly monitoring device for an advertisement interactive page according to a sixth embodiment of the present application.
Fig. 7 is a schematic structural diagram of an abnormality determination module according to a seventh embodiment of the present application.
Fig. 8 is a schematic structural diagram of an abnormality determination module according to an eighth embodiment of the present application.
Detailed Description
Hereinafter, only certain exemplary embodiments are briefly described. As will be recognized by those of skill in the pertinent art, the described embodiments may be modified in various different ways without departing from the spirit or scope of the present application. Accordingly, the drawings and description are to be regarded as illustrative in nature and not as restrictive.
Fig. 1 is a flowchart of a method for monitoring status anomalies of an advertisement interaction page according to a first embodiment of the present application. Referring to fig. 1, the method for monitoring status anomalies of an advertisement interaction page includes:
step S1, acquiring corresponding advertisement interaction page issuing data under a certain browser according to an instruction for requesting an advertisement interaction page, and counting according to the advertisement interaction page issuing data to obtain corresponding first quantity; and monitoring a second quantity of the advertisement interaction page issuing data which is normally loaded in the advertisement position.
When a user clicks a browser of an advertisement position to request an advertisement interactive page, browser information is sent to a server, corresponding interactive page information is found according to the browser information, the server side simultaneously reports advertisement interactive page sending data when sending the advertisement interactive page, the advertisement position requests the advertisement interactive page sending data and normally loads the advertisement interactive page sending data, and then the server side reports advertisement interactive page loading completion data.
The advertisement interactive page issuing data comprises browser information and interactive page information, wherein the browser information comprises a name and a version of a browser, and the interactive page information comprises links of the advertisement interactive page and an identification card identification number. The browser information and the interactive page information are in a many-to-many relationship, namely, the browser with the same name and version can correspond to a plurality of advertisement interactive pages, and the advertisement interactive pages with the same link and identification number can be called in different browsers.
Counting according to the issued data of the advertisement interaction pages to obtain corresponding first quantity, counting the quantity of identification numbers corresponding to the advertisement interaction pages under the browser with the same name and version, and obtaining the first quantity after counting and summarizing; and the number of the loaded advertisement interactive pages is the second number based on the data sent by the advertisement interactive pages.
Thus, the first number is greater than or equal to the second number. When the first quantity is equal to the second quantity, the advertisement interaction page is normally loaded, and when the first quantity is greater than the second quantity, the advertisement interaction page is abnormally loaded. But not as long as the first number is greater than the second number.
Considering that the conclusion that the sample is smaller may deviate, the first quantity to be analyzed may be filtered by the data size, fig. 2 is a flowchart of a method for monitoring status anomalies of the advertisement interaction page according to a second embodiment of the present application, please refer to fig. 2, and the difference between the second embodiment and the first embodiment is that: before comparing the first number with the second number to obtain the judgment result, the method further includes step S20: judging whether the first quantity is larger than a preset trigger lower limit, and entering a comparison judging step when the first quantity is larger than the preset trigger lower limit; and when the first quantity is smaller than the preset trigger lower limit, issuing a normal notification. For example, the preset trigger number lower limit is set to be 5, and when the first number is smaller than 5, the comparison judgment step is not carried out; when the first number reaches 5 or more, the comparison judging step is started.
And S2, comparing the first quantity with the second quantity to obtain a judging result, and determining whether the advertisement interaction page is in a loading abnormal state according to the judging result.
Similarly, if the first number is not greater than the second number, the load is determined to be in an abnormal state, and comparison and judgment are required according to a preset error coefficient, fig. 3 is a flowchart of an abnormality judgment method according to the third embodiment of the present application, and fig. 4 is a flowchart of an abnormality judgment method according to the fourth embodiment of the present application. Two cases are given below in connection with fig. 3, 4:
(1) Presetting a first preset error coefficient
Step S201, calculating a first calculation error coefficient according to the ratio of the first quantity to the second quantity;
step S202, comparing and judging the first calculated error coefficient with a first preset error coefficient: and when the first calculation error system is smaller than a first preset error coefficient, judging that the advertisement interaction page is abnormally loaded. The first preset error coefficient ranges from 0 to 1, the abnormal state judgment accuracy is lower when the first preset error coefficient is too small, the abnormal state judgment accuracy is higher when the first preset error coefficient is too large, and the first preset error coefficient ranges from 0.8 to 0.9.
(2) Presetting a second preset error coefficient
Step S211, calculating a second calculation error coefficient according to the difference value between the first quantity and the second quantity;
step S212, comparing and judging the second calculated error coefficient with a second preset error coefficient: and when the second calculated error coefficient is larger than a second preset error coefficient, judging that the advertisement interaction page is abnormally loaded. Wherein the second preset error coefficient >1.
Preferably, the second preset error coefficient may also be determined according to the magnitude of the first number, if the first number is greater than 5 and less than 10, then the second preset error coefficient is equal to 1, if the first number is greater than or equal to 10 and less than 15, then the second preset error coefficient is equal to 2, and so on … ….
The above two cases are only illustrative, but the method of determining the abnormal loading state is not limited thereto, and other calculation parameters related to the first number and the second number may be set, and the calculation parameters may be compared with the preset parameters, so as to determine whether the advertisement interaction page is in the abnormal loading state.
And S3, when the advertisement interaction page is in the abnormal loading state, issuing an abnormal notification and changing the data issued by the advertisement interaction page.
When the advertisement interaction page is judged to be in the abnormal loading state, the advertisement interaction page is loaded with abnormal information in a certain browser to inform relevant development and operation personnel, so that the development and operation personnel can grasp the abnormal condition of the advertisement interaction page in real time. The chat software can be sent to related personnel, or a short message mode can be sent, but the method is not limited to the method, and other different notification modes can be set.
Recording the advertisement interaction page corresponding to the abnormal state, and replacing the address of the advertisement interaction page or the corresponding domain name. The advertisement interactive page can be replaced when the advertisement interactive page is issued in the same browser next time, or the address or the corresponding domain name of the advertisement interactive page in the server can be replaced in real time after the abnormal state is judged.
Based on the above-mentioned method for monitoring abnormal status of the advertisement interaction page, the present application further provides an apparatus for monitoring abnormal status of the advertisement interaction page, and fig. 5 is a schematic structural diagram of an apparatus for monitoring abnormal status of the advertisement interaction page according to a fifth embodiment of the present application, where the apparatus 1 for monitoring abnormal status of the advertisement interaction page includes:
the quantity acquisition module 100 is configured to acquire corresponding advertisement interaction page delivery data under a certain browser according to an instruction for requesting an advertisement interaction page, and obtain a corresponding first quantity according to statistics of the advertisement interaction page delivery data; monitoring the second quantity of the advertisement interaction page issuing data which is normally loaded in the advertisement position;
the anomaly judgment module (200, 210) is used for comparing the first quantity with the second quantity to obtain a judgment result, and determining whether the advertisement interaction page is in a loading anomaly state according to the judgment result:
the exception handling module 300 is configured to issue an exception notification and change the data issued by the advertisement interaction page when the advertisement interaction page is in a loading exception state.
The status anomaly monitoring device 1 of the advertisement interaction page further comprises:
the information setting module 400, the issuing data includes browser information and interactive page information, the browser information includes a name and a version of the browser, and the interactive page information includes a link of the advertisement interactive page and an identification number.
The number acquisition module 100 further includes:
the first number statistics unit 110 is configured to count identification numbers corresponding to the advertisement interaction pages under the browser with the same name and version, and obtain the first number after statistics and summarization.
Fig. 6 is a schematic structural diagram of a status anomaly monitoring device for an advertisement interaction page according to a sixth embodiment of the present application, please refer to fig. 6, wherein the difference between the sixth embodiment and the fifth embodiment is that: the status anomaly monitoring device 1 of the advertisement interaction page further comprises: the trigger determining module 220 is configured to determine whether the first number is greater than a preset trigger number lower limit, and when the first number is greater than the preset trigger number lower limit, enter a step of comparing to obtain a determination result; and when the first quantity is smaller than the lower limit of the preset trigger number, issuing a normal notification.
The abnormality determination method includes two cases, and the corresponding abnormality determination modules (200, 210) may be divided into two cases, fig. 7 is a schematic structural diagram of the abnormality determination module 200 according to the seventh embodiment of the present application, fig. 8 is a schematic structural diagram of the abnormality determination module 210 according to the eighth embodiment of the present application, and please refer to fig. 7 and 8:
the abnormality determination module 200 further includes:
a first coefficient calculating unit 201 for calculating a first calculation error coefficient according to a ratio of the first number to the second number;
a first comparing and judging unit 202, configured to compare and judge the first calculated error coefficient with a first preset error coefficient: and when the first calculation error system is smaller than the first preset error coefficient, judging that the advertisement interaction page is abnormally loaded.
In another case, the anomaly determination module 210 further includes:
a second coefficient calculating unit 211 for calculating a second calculation error coefficient according to the difference between the first number and the second number;
a second comparing and judging unit 212, configured to compare and judge the second calculated error coefficient with a second preset error coefficient: and when the second calculated error coefficient is larger than the second preset error coefficient, judging that the advertisement interaction page is abnormally loaded.
The exception handling module 300 further includes:
and the information replacing unit 310 is configured to record the advertisement interaction page corresponding to the abnormal state, and replace an address of the advertisement interaction page or a corresponding domain name.
The functions of each module in each system in the embodiments of the present application may be referred to the corresponding descriptions in the above methods, which are not described herein again.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions in accordance with the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. Computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," 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 present application. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
Any process or method description in a flowchart 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 additional implementations in which functions may be performed in a substantially simultaneous manner or in an opposite order from that shown or discussed, including in accordance with the functions that are involved.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. All or part of the steps of the methods of the embodiments described above may be performed by a program that, when executed, comprises one or a combination of the steps of the method embodiments, instructs the associated hardware to perform the method.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules described above, if implemented in the form of software functional modules and sold or used as a stand-alone product, may also be stored in a computer-readable storage medium. The storage medium may be a read-only memory, a magnetic or optical disk, or the like.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think of various changes or substitutions within the technical scope of the present application, and these should be covered in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. The method for monitoring the abnormal state of the advertisement interaction page is characterized by comprising the following steps of:
acquiring corresponding advertisement interaction page issuing data under a certain browser according to an instruction for requesting the advertisement interaction page, and counting according to the advertisement interaction page issuing data to obtain corresponding first quantity; monitoring a second quantity of the advertisement interaction page issuing data which is normally loaded in the advertisement position according to the advertisement interaction page loading completion data; the server side sends the advertisement interactive page and reports the advertisement interactive page sending data, and the advertisement interactive page loading completion data is reported by the advertisement position after the advertisement position requests the advertisement interactive page sending data and normally loads the advertisement interactive page;
comparing the first quantity with the second quantity to obtain a judging result, and determining whether the advertisement interaction page is in a loading abnormal state according to the judging result;
when the advertisement interaction page is in a loading abnormal state, issuing an abnormal notification and changing the data issued by the advertisement interaction page;
wherein, the changing the data sent by the advertisement interaction page includes: recording the advertisement interaction page corresponding to the abnormal state, and replacing the address of the advertisement interaction page or the corresponding domain name;
the step of judging the first quantity and the second quantity, and determining whether the advertisement interaction page is abnormally loaded according to a judgment result comprises the following steps:
calculating a first calculated error coefficient according to the ratio of the first quantity to the second quantity;
comparing and judging the first calculated error coefficient with a first preset error coefficient: and when the first calculation error system is smaller than the first preset error coefficient, judging that the advertisement interaction page is abnormally loaded.
2. The method for monitoring abnormal states of advertisement interactive pages according to claim 1, wherein the advertisement interactive page issuing data comprises browser information and interactive page information, the browser information comprises a name and a version of the browser, and the interactive page information comprises a link of the advertisement interactive page and an identification number.
3. The method for monitoring abnormal states of advertisement interaction pages according to claim 2, wherein the first number of acquisition modes are: and counting the number of the identification numbers corresponding to the advertisement interaction pages under the browser with the same name and version, and obtaining the first number after counting and summarizing.
4. The method for monitoring status anomalies of an advertisement-interactive page according to claim 1, further comprising, prior to said comparing the first number with the second number to obtain a determination:
judging whether the first quantity is larger than a preset trigger number lower limit or not, and when the first quantity is larger than the preset trigger number lower limit, performing comparison to obtain a judging result; and when the first quantity is smaller than the lower limit of the preset trigger number, issuing a normal notification.
5. The method for monitoring status anomalies of advertisement-interactive pages according to claim 1, wherein the determining the first number and the second number, according to the determination result, determines whether the advertisement-interactive pages are abnormally loaded, further comprises:
calculating a second calculated error coefficient according to the difference between the first number and the second number;
comparing and judging the second calculated error coefficient with a second preset error coefficient: and when the second calculated error coefficient is larger than the second preset error coefficient, judging that the advertisement interaction page is abnormally loaded.
6. The utility model provides a status anomaly monitoring device of advertisement interactive page which characterized in that includes:
the quantity acquisition module is used for acquiring corresponding advertisement interaction page issuing data under a certain browser according to an instruction of requesting the advertisement interaction page, and counting according to the advertisement interaction page issuing data to obtain corresponding first quantity; monitoring the second quantity of the advertisement interaction page issuing data which is normally loaded in the advertisement position;
the abnormality judging module is used for comparing the first quantity with the second quantity to obtain a judging result, and determining whether the advertisement interaction page is in a loading abnormal state or not according to the judging result;
the abnormal processing module is used for issuing abnormal notification and changing the data issued by the advertisement interaction page when the advertisement interaction page is in a loading abnormal state;
the abnormal processing module comprises an information replacement unit, a processing unit and a processing unit, wherein the information replacement unit is used for recording the advertisement interaction page corresponding to the abnormal state and replacing the address of the advertisement interaction page or the corresponding domain name;
the abnormality judgment module includes:
a first coefficient calculating unit for calculating a first calculation error coefficient according to a ratio of the first number to the second number;
the first comparison judging unit is used for comparing and judging the first calculated error coefficient with a first preset error coefficient: and when the first calculation error system is smaller than the first preset error coefficient, judging that the advertisement interaction page is abnormally loaded.
7. The advertisement interactive page status anomaly monitoring device of claim 6, wherein the delivery data comprises browser information and interactive page information, the browser information comprising a name and version of the browser, the interactive page information comprising a link and an identification number of the advertisement interactive page.
8. The apparatus for monitoring status anomalies of an advertisement interaction page according to claim 7, wherein the quantity acquisition module further comprises:
the first quantity counting unit is used for counting the identification numbers corresponding to the advertisement interaction pages under the browser with the same name and version, and obtaining the first quantity after counting and summarizing.
9. The advertisement interactive page status anomaly monitoring device of claim 6, further comprising: the trigger judging module is used for judging whether the first quantity is larger than a preset trigger number lower limit or not, and when the first quantity is larger than the preset trigger number lower limit, the step of comparing is carried out to obtain a judging result; and when the first quantity is smaller than the lower limit of the preset trigger number, issuing a normal notification.
10. The status anomaly monitoring device of an advertising interactive page according to claim 6, wherein the anomaly determination module further comprises:
a second coefficient calculation unit configured to calculate a second calculation error coefficient according to a difference between the first number and the second number;
the second comparison and judgment unit is used for comparing and judging the second calculated error coefficient with a second preset error coefficient: and when the second calculated error coefficient is larger than the second preset error coefficient, judging that the advertisement interaction page is abnormally loaded.
CN202010872311.2A 2020-08-26 2020-08-26 Advertisement interaction page state abnormality monitoring method and device Active CN112001758B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010872311.2A CN112001758B (en) 2020-08-26 2020-08-26 Advertisement interaction page state abnormality monitoring method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010872311.2A CN112001758B (en) 2020-08-26 2020-08-26 Advertisement interaction page state abnormality monitoring method and device

Publications (2)

Publication Number Publication Date
CN112001758A CN112001758A (en) 2020-11-27
CN112001758B true CN112001758B (en) 2024-01-30

Family

ID=73470989

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010872311.2A Active CN112001758B (en) 2020-08-26 2020-08-26 Advertisement interaction page state abnormality monitoring method and device

Country Status (1)

Country Link
CN (1) CN112001758B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104657474A (en) * 2015-02-16 2015-05-27 北京搜狗科技发展有限公司 Advertisement display method, advertisement inquiring server and client side
US9578044B1 (en) * 2014-03-24 2017-02-21 Amazon Technologies, Inc. Detection of anomalous advertising content
CN107168854A (en) * 2017-06-01 2017-09-15 北京京东尚科信息技术有限公司 Detection method, device, equipment and readable storage medium storing program for executing are clicked in Internet advertising extremely
CN107665444A (en) * 2017-05-19 2018-02-06 新站保险代理股份有限公司 A kind of web advertisement acute effect evaluation method and system based on the online behavior of user
CN108667855A (en) * 2018-07-19 2018-10-16 百度在线网络技术(北京)有限公司 Network traffic anomaly monitor method, apparatus, electronic equipment and storage medium
CN109905738A (en) * 2019-03-26 2019-06-18 湖南快乐阳光互动娱乐传媒有限公司 Video ads show monitoring method and device, storage medium and electronic equipment extremely
CN110752962A (en) * 2018-07-23 2020-02-04 北京奇虎科技有限公司 Monitoring method and device of advertisement interface

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106599298A (en) * 2016-12-28 2017-04-26 北京金山安全软件有限公司 Advertisement blocking method and device and terminal equipment

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9578044B1 (en) * 2014-03-24 2017-02-21 Amazon Technologies, Inc. Detection of anomalous advertising content
CN104657474A (en) * 2015-02-16 2015-05-27 北京搜狗科技发展有限公司 Advertisement display method, advertisement inquiring server and client side
CN107665444A (en) * 2017-05-19 2018-02-06 新站保险代理股份有限公司 A kind of web advertisement acute effect evaluation method and system based on the online behavior of user
CN107168854A (en) * 2017-06-01 2017-09-15 北京京东尚科信息技术有限公司 Detection method, device, equipment and readable storage medium storing program for executing are clicked in Internet advertising extremely
CN108667855A (en) * 2018-07-19 2018-10-16 百度在线网络技术(北京)有限公司 Network traffic anomaly monitor method, apparatus, electronic equipment and storage medium
CN110752962A (en) * 2018-07-23 2020-02-04 北京奇虎科技有限公司 Monitoring method and device of advertisement interface
CN109905738A (en) * 2019-03-26 2019-06-18 湖南快乐阳光互动娱乐传媒有限公司 Video ads show monitoring method and device, storage medium and electronic equipment extremely

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于搜索引擎的网络广告监测***;李大学;唐欢亮;;微计算机信息;23(9-3);第177-178、256页 *
浅论网络广告的新形式――过度页广告;顾海燕;;新闻界(02);第115-116页 *

Also Published As

Publication number Publication date
CN112001758A (en) 2020-11-27

Similar Documents

Publication Publication Date Title
Betterton et al. Detecting bottlenecks in serial production lines–a focus on interdeparture time variance
US9396592B2 (en) Maintenance systems and methods for use in analyzing maintenance data
US7124119B2 (en) Communication between intelligent agents and humans in a distributed system environment
JP2009181536A (en) Software fault management device, test management device and program therefor
US10417712B2 (en) Enterprise application high availability scoring and prioritization system
US9158614B2 (en) Service management device, display method, and information storage medium
JP6975086B2 (en) Quality evaluation method and quality evaluation equipment
CN112001758B (en) Advertisement interaction page state abnormality monitoring method and device
US20060150105A1 (en) Application status board mitigation system and method
CN107451056B (en) Method and device for monitoring interface test result
CN103164320A (en) Inspection system, inspection information gathering device and inspection information gathering program
JP5613570B2 (en) Batch job delay warning automatic alert system, automatic alert method, and program therefor
CN113625957B (en) Method, device and equipment for detecting hard disk faults
JP6142881B2 (en) Failure notification system, failure notification method, failure notification device, failure notification program, and recording medium
CN111835566A (en) System fault management method, device and system
CN113297053A (en) Method and device for determining test coverage rate and storage medium
CN111737132B (en) Method, system, electronic device and storage medium for issuing project code data
CN108593053A (en) The method for diagnosing faults and device of instrument in flow measurement cell
JP5068351B2 (en) Network evaluation system, network evaluation method, and program
JP2008250842A (en) Information notification device, information notification method and program
JP3629711B2 (en) Product inspection support system, product inspection support method, and product inspection support program
CN117649267A (en) Verification method and device for shelf-period picture, computer equipment and storage medium
JP2024062208A (en) Device for preventing erroneous input, method for preventing erroneous input, and program for preventing erroneous input
CN115423593A (en) Automatic settlement system and automatic settlement method
CN114693115A (en) Method and device for detecting code review validity and electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant