CN117033772A

CN117033772A - Information processing method and device and electronic equipment

Info

Publication number: CN117033772A
Application number: CN202310907107.3A
Authority: CN
Inventors: 刘俊启
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2023-07-21
Filing date: 2023-07-21
Publication date: 2023-11-10

Abstract

The disclosure provides an information processing method, an information processing device and electronic equipment, relates to the technical field of computers, and in particular relates to the technical field of computer vision and big data, and the specific implementation scheme is as follows: receiving advertisement intervention results of different pages reported by a plurality of clients, wherein advertisement intervention rules corresponding to the different pages are the same or different; aiming at each advertisement intervention rule, determining the misjudgment rate of the advertisement intervention rule based on the advertisement intervention result; according to the misjudgment rate, the advertisement intervention rules are processed, and the processing results are sent to the client associated with the advertisement intervention rules.

Description

Information processing method and device and electronic equipment

Technical Field

The present disclosure relates to the field of computer technology, and in particular, to the field of computer vision and big data technology, and more particularly, to an information processing method, an information processing device, an electronic apparatus, and a storage medium.

Background

Along with the rapid popularization of smart phones, searching has become a main way for netizens to acquire information, the ranking of each corresponding webpage in a search result page affects the click rate of related webpages, a search engine screens according to search keywords and the content of the webpages in storage and sorts the webpages according to the relevance of the webpages, but the webpages with the best relevance are not necessarily the webpages with the best user browsing experience, the webpage quality is not necessarily the best, and at present, advertisements in the webpages can be filtered based on an advertisement filtering mode, for example: the advertisement in the page is filtered based on rules or algorithms, but when the advertisement in the page is filtered, misjudgment exists, so that the page cannot be browsed normally, therefore, how to determine the misjudgment rate of the advertisement intervention rules, and process the advertisement intervention rules according to the misjudgment rate in time, so that the experience of a user for browsing the page is improved.

Disclosure of Invention

The present disclosure provides an information processing method, apparatus, electronic device, storage medium, and program product.

According to a first aspect, there is provided an information processing method, executed by a server, including: receiving advertisement intervention results of different pages reported by a plurality of clients, wherein advertisement intervention rules corresponding to the different pages are the same or different; determining a misjudgment rate of each advertisement intervention rule based on the advertisement intervention result, wherein the misjudgment rate is a ratio of errors occurring when advertisement intervention is performed on different pages through the advertisement intervention rules; and processing the advertisement intervention rule according to the misjudgment rate, and sending a processing result to a client associated with the advertisement intervention rule.

According to a second aspect, there is provided an information processing method performed by a client, comprising: acquiring loading requests of different pages, and performing advertisement intervention on the different pages according to advertisement intervention rules to acquire corresponding advertisement intervention results; and sending the advertisement intervention result to a server, and receiving a processing result which is sent by the server and is used for processing the advertisement intervention rule.

According to a third aspect, there is provided an information processing apparatus, executed by a server, comprising: the receiving module is used for receiving advertisement intervention results of different pages reported by a plurality of clients, wherein advertisement intervention rules corresponding to the different pages are the same or different; the determining module is used for determining the misjudgment rate of the advertisement intervention rules based on the advertisement intervention results aiming at each advertisement intervention rule, wherein the misjudgment rate is the ratio of errors when advertisement intervention is carried out on different pages through the advertisement intervention rules; and the processing module is used for processing the advertisement intervention rule according to the misjudgment rate and sending a processing result to a client associated with the advertisement intervention rule.

According to a fourth aspect, there is provided an information processing apparatus, executed by a client, comprising: the intervention module is used for acquiring loading requests of different pages, performing advertisement intervention on the different pages according to advertisement intervention rules, and acquiring corresponding advertisement intervention results; and the sending module is used for sending the advertisement intervention result to a server and receiving a processing result which is sent by the server and is used for processing the advertisement intervention rule.

According to a fifth aspect, there is provided an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the information processing method of the first or second aspect of the present disclosure.

According to a sixth aspect, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the information processing method according to the first or second aspect of the present disclosure.

According to a seventh aspect, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the information processing method according to the first or second aspect of the present disclosure.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.

Drawings

The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

fig. 1 is a flow chart of an information processing method according to a first embodiment of the present disclosure;

FIG. 2 is a schematic diagram of a page and advertising interventions on the page according to the present disclosure;

fig. 3 is a flowchart of an information processing method according to a second embodiment of the present disclosure;

fig. 4 is a flowchart of an information processing method according to a third embodiment of the present disclosure;

FIG. 5 is a schematic diagram of a page and advertising interventions on the page according to the present disclosure;

fig. 6 is a flowchart of an information processing method according to a fourth embodiment of the present disclosure;

fig. 7 is a block diagram of an information processing apparatus to implement an embodiment of the present disclosure;

FIG. 8 is a block diagram of an information processing apparatus used to implement an embodiment of the present disclosure;

fig. 9 is a block diagram of an electronic device for implementing an information processing method of an embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

Computer technology (Computer Technology), the content of which is very broad, can be roughly divided into computer system technology, computer device technology, computer component technology, and computer assembly technology. The computer technology comprises: the basic principle of the operation method and the application of the basic principle in the design of an arithmetic unit, an instruction system, a Central Processing Unit (CPU) design, a pipeline principle and the CPU design, a storage system, a bus and input and output.

Computer Vision (Computer Vision), which is a science of studying how to make a machine "look at", further means that a camera and a Computer are used to replace human eyes to perform machine Vision such as recognition, tracking and measurement on a target, and further perform graphic processing, so that the Computer is processed into an image more suitable for human eyes to observe or transmit to an instrument to detect. As a scientific discipline, computer vision research-related theory and technology has attempted to build artificial intelligence systems that can obtain 'information' from images or multidimensional data. The information referred to herein refers to Shannon-defined information that may be used to assist in making a "decision". Because perception can be seen as the extraction of information from sensory signals, computer vision can also be seen as science of how to "perceive" an artificial system from images or multi-dimensional data.

Big data or huge amount of data refers to information which is huge in size and cannot pass through a main stream software tool, and can be retrieved, managed, processed and tidied in a reasonable time to be more positive for helping business operation decision.

An information processing method of an embodiment of the present disclosure is described below with reference to the drawings.

Fig. 1 is a flow chart of an information processing method according to a first embodiment of the present disclosure.

As shown in fig. 1, the information processing method according to the embodiment of the present disclosure may specifically include the following steps:

s101, receiving advertisement intervention results of different pages reported by a plurality of clients, wherein advertisement intervention rules corresponding to the different pages are the same or different.

Wherein the advertisement intervention result is used for representing the intervention result of the page based on the advertisement intervention rule.

Optionally, advertising intervention results include, but are not limited to: page information of advertisement intervention, advertisement intervention rules, advertisement intervention normal/abnormal results and page image information of advertisement intervention.

It should be noted that, after the multiple clients report the advertisement intervention results of different pages, the server may accept the advertisement intervention results of different pages reported by the multiple clients.

For example, for the client a, the advertisement intervention result of the a page may be reported, for the client B, the advertisement intervention result of the B page may be reported, and accordingly, the server may receive the advertisement intervention result of the a page reported by the client a, and the advertisement intervention result of the B page reported by the client B.

Wherein, the advertisement intervention rules refer to rules for intervention on advertisements in pages.

Optionally, the advertisement intervention rules corresponding to different pages may be preset according to advertisement intervention policies, where the advertisement intervention rules corresponding to different pages are the same or different.

For example, for page a, the advertising intervention rule may be XXX, for page b, the advertising intervention rule may be YYY, and for page c, the advertising intervention rule may be ZZZ.

S102, aiming at each advertisement intervention rule, determining the misjudgment rate of the advertisement intervention rule based on the advertisement intervention result, wherein the misjudgment rate is the ratio of errors when advertisement intervention is carried out on different pages through the advertisement intervention rule.

It should be noted that, when advertisement intervention is performed on different pages through advertisement intervention rules, there is often a certain misjudgment condition, for example: the normal region in the page is determined to be an advertisement.

For example, as shown in 2a in fig. 2, for page d, there is an advertisement area in page d, and when normal advertisement intervention is performed on page d by the advertisement intervention rule, only the advertisement area is not displayed, i.e., as shown in 2b in fig. 2, when abnormal advertisement intervention is performed on page d by the advertisement intervention rule, all areas in page d are not displayed, as shown in 2c in fig. 2, i.e., an error occurs when advertisement intervention is performed on page d by the advertisement intervention rule.

In the embodiment of the disclosure, after the advertisement intervention result is obtained, a misjudgment rate of the advertisement intervention rule can be determined for each advertisement intervention rule based on the advertisement intervention result.

Optionally, determining one or more target pages for performing advertisement intervention through the advertisement intervention rule from different pages, acquiring a first total number of normal advertisement intervention and a second total number of abnormal advertisement intervention of the one or more target pages through the advertisement intervention rule based on advertisement intervention results of the target pages, and determining the misjudgment rate of the advertisement intervention rule according to the first total number and the second total number.

S103, according to the misjudgment rate, processing the advertisement intervention rule, and sending the processing result to the client associated with the advertisement intervention rule.

In the embodiment of the disclosure, after the misjudgment rate is obtained, the advertisement intervention rule can be processed according to the misjudgment rate, and the processing result is sent to the client associated with the advertisement intervention rule.

Optionally, the advertisement intervention rule may be reserved, and the advertisement intervention rule may be offline.

In summary, according to the information processing method of the embodiment of the present disclosure, by receiving advertisement intervention results of different pages reported by a plurality of clients, where advertisement intervention rules corresponding to the different pages are the same or different, and determining, for each advertisement intervention rule, a misjudgment rate of the advertisement intervention rule based on the advertisement intervention results, where the misjudgment rate is a ratio of errors occurring when advertisement intervention is performed on the different pages by the advertisement intervention rule, processing the advertisement intervention rule according to the misjudgment rate, and sending the processing result to a client associated with the advertisement intervention rule.

Fig. 3 is a flowchart of an information processing method according to a second embodiment of the present disclosure.

As shown in fig. 3, on the basis of the embodiment shown in fig. 1, the information processing method according to the embodiment of the present disclosure may specifically include the following steps:

s301, receiving advertisement intervention results of different pages reported by a plurality of clients, wherein advertisement intervention rules corresponding to the different pages are the same or different.

The description of step S301 may be referred to the relevant content in the above embodiment, and will not be repeated here.

Step S102 "in the above embodiment determines, for each advertisement intervention rule, a misjudgment rate of the advertisement intervention rule based on the advertisement intervention result, where the misjudgment rate is a ratio of errors occurring when advertisement intervention is performed on different pages by the advertisement intervention rule, and specifically may include the following steps S302 and S304.

S302, for each advertisement intervention rule, one or more target pages for advertisement intervention through the advertisement intervention rule are determined from different pages.

In the embodiment of the disclosure, the uniform resource locators (Uniform Resource Locator, abbreviated as URLs) of different pages can be acquired, and the advertisement intervention rules corresponding to the pages can be determined according to the URLs.

It should be noted that, in the dimension of the advertisement intervention rule, one or more pages for which advertisement intervention is performed by the advertisement intervention rule may be determined from different pages for each advertisement intervention rule.

S303, based on advertisement intervention results of the target pages, acquiring a first total number of normal intervention of advertisements and a second total number of abnormal intervention of advertisements by one or more target pages through advertisement intervention rules.

It should be noted that, when attempting to obtain the advertisement intervention result of the target page, the advertisement intervention result of the target page may be determined from the advertisement intervention results of different pages of the advertisement, so as to obtain, based on the advertisement intervention result of the target page, a first total number of normal intervention of the advertisement by the one or more target pages through the advertisement intervention rule.

For example, as shown in table 1, a first total number of advertisement interventions by advertisement intervention rule XXX, a first total number of advertisement interventions by advertisement intervention rule yyyy, a first total number of advertisement interventions by advertisement intervention rule ZZZ, a first total number of advertisement interventions by advertisement intervention rule QQQ may be obtained.

TABLE 1

Advertisement intervention rules	First total number of normal interventions
		XXX	1800000
YYY	130000
		ZZZ	10
QQQ	100000

As a possible implementation manner, as shown in fig. 4, on the basis of the foregoing embodiment, a specific process of the second total number of acquisition processes in the foregoing step S303 includes the following steps:

s401, determining a first target page which is identified as an abnormal page from one or more target pages based on advertisement intervention results, and determining the first misjudgment number of the first target page which is interfered by advertisement abnormality.

Optionally, after the advertisement intervention result is obtained, a first target page identified as an abnormal page may be determined from one or more target pages, that is, the first target page is already determined as an abnormal page, for example: as shown in fig. 2c, a first misjudgment number that the first target page is abnormally interfered by the advertisement through the advertisement interference rule is determined.

It should be noted that, the respective URLs of the different pages may be obtained, and the different pages may be summarized and classified according to the URLs, so as to determine the first misjudgment number of the first target page when the first target page is abnormally interfered by the advertisement.

S402, determining a second target page which is identified as a normal page from one or more target pages based on advertisement intervention results, and preloading the second target page to acquire first image information of the second target page.

It should be noted that, after determining the second target page identified as the normal page from the one or more target pages, the target page may be preloaded to obtain the first image information of the second target page, where the first image information is original image information corresponding to the second target page without advertisement intervention.

S403, obtaining a second misjudgment number of abnormal intervention of the advertisement of the second target page according to the first image information and the second image information of the second target page predicted by the advertisement stem.

In the embodiment of the disclosure, the first image information and the second image information may be compared, whether the second target page is interfered by advertisement abnormality is judged, the number of pages interfered by advertisement abnormality in the second target page is counted, and the second misjudgment number is determined based on the number of pages.

For example, as shown in 5a in fig. 5, for page d, there is an advertisement area in page d, and when abnormal advertisement intervention is performed on page d by the advertisement intervention rule, the advertisement area in page d is not displayed, and besides the advertisement area in page d, a partial area in page is also not displayed, as shown in 5b in fig. 5, that is, an error occurs when advertisement intervention is performed on page d by the advertisement intervention rule.

S404, determining a second total number of times based on the first number of erroneous judgment times and the second number of erroneous judgment times.

In the embodiment of the disclosure, after the first misjudgment times and the second misjudgment times are obtained, the sum of the first misjudgment times and the times without two misjudgment times can be obtained, and the sum is used as the second total times, namely the second total times of advertisement abnormal intervention of one or more target pages through advertisement intervention rules.

For example, as shown in Table 2, a second total number of ad exception interventions by one or more target pages via the ad intervention rules may be obtained.

TABLE 2

Target page	Advertisement abnormal intervention second total times	Rules of
			www.a.com/1.html	1000	XXX
www.b.com/1.html	800	YYY
			www.c.com/1.html	600	XXX
www.d.com/1.html	300	YYY
			www.d.com/2.html	200	YYY
www.e.com/1.html	100	XXX
			www.f.com/1.html	100	XXX
www.g.com/1.html	7	ZZZ

S304, determining the misjudgment rate of the advertisement intervention rule according to the first total times and the second total times.

In the embodiment of the disclosure, after the first total times and the second total times are obtained, the ratio of the second total times to the first total times may be obtained, so as to determine the misjudgment rate of the advertisement intervention rule.

For example, as shown in Table 3, the false positive rate of advertisement intervention rules XXX, YYY, ZZZ, QQQ may be determined

TABLE 3 Table 3

Step S103 "processing advertisement intervention rules according to the misjudgment rate" in the above embodiment may specifically include the following steps S305 and S306.

S305, acquiring a preset misjudgment rate threshold and a frequency threshold for carrying out advertisement intervention on different pages through advertisement intervention rules.

It should be noted that, the setting of the erroneous judgment rate threshold and the frequency threshold is not limited in the present disclosure, and may be set according to actual situations.

Alternatively, the false positive rate threshold may be set to 2%.

S306, processing advertisement intervention rules according to the misjudgment rate threshold and/or the frequency threshold.

In the embodiment of the disclosure, if the misjudgment rate threshold and/or the frequency threshold meet the rule reservation condition, the advertisement intervention rule is reserved.

Optionally, in response to the false positive rate being zero, retaining the advertising intervention rules.

For example, as shown in table 3, for the advertisement intervention rule QQQ, if the misjudgment rate is zero, the advertisement intervention rule QQQ is reserved.

Optionally, in response to the misjudgment rate being not zero and the misjudgment rate being lower than the misjudgment rate threshold, adding a white list to the page category with advertisement intervention abnormality, and reserving advertisement intervention rules.

For example, as shown in table 3, for the advertisement intervention rule YYY, the misjudgment rate is not zero, and the misjudgment rate (1%) is lower than the misjudgment rate threshold (2%), the advertisement intervention rule YYY is reserved, and as shown in table 2, the page category (www.b.com/1. Html, www.d.com/2. Html) with advertisement intervention abnormality is whitelisted; for the advertisement intervention rule XXX, if the misjudgment rate is not zero and the misjudgment rate (0.1%) is lower than the misjudgment rate threshold (2%), the advertisement intervention rule XXX is reserved, and as shown in Table 2, the white list adding processing is performed on the page categories (www.b.com/1. Html, www.d.com/2. Html) with advertisement intervention abnormality.

In the embodiment of the disclosure, if the misjudgment rate threshold and/or the frequency threshold meet the rule downloading condition, the advertisement intervention rule is subjected to downloading processing.

Optionally, in response to the false positive rate being greater than the false positive rate threshold, and the total number of advertising interventions on different pages by the advertising intervention rules not exceeding the number threshold, performing offline processing on the advertising intervention rules.

For example, as shown in table 3, for the advertisement intervention rule ZZZ, the misjudgment rate (70%) is greater than the misjudgment rate threshold (2%), and the total number of times of advertisement intervention on different pages by the advertisement intervention rule does not exceed the number of times threshold, the advertisement intervention rule ZZZ is processed offline.

Optionally, in response to the misjudgment rate being greater than the misjudgment rate threshold, and the total number of times exceeding the number of times threshold, adding a white list to the page category with advertisement intervention abnormality or performing offline processing to the advertisement intervention rule according to the service requirement.

It should be noted that, for the case that the misjudgment rate is greater than the misjudgment rate threshold and the total number of times exceeds the frequency threshold, that is, the misjudgment rate of the advertisement intervention rule is higher, and the coverage of the advertisement intervention rule is higher, in this case, the advertisement intervention rule may be reserved according to the service requirement, and the white list processing may be added to the page category with the advertisement intervention abnormality, or the advertisement intervention rule may be directly processed in a downlink manner.

S307, the processing result is sent to the client associated with the advertisement intervention rule.

In the embodiment of the disclosure, after obtaining the processing result, the server may send the processing result to the client associated with the advertisement intervention rule.

In summary, the information processing method of the embodiment of the disclosure can automatically, timely and efficiently determine abnormal conditions of advertisement intervention of different pages through advertisement intervention rules, reduce cost of determining abnormal conditions of advertisement intervention of different pages through advertisement intervention rules, determine misjudgment rate of the advertisement intervention rules based on the first total number of normal advertisement intervention times and the second total number of abnormal advertisement intervention times of the target pages through the advertisement intervention rules, improve accuracy of determining misjudgment rate of the advertisement intervention rules, process the advertisement intervention rules according to the misjudgment rate, ensure accuracy and reliability of advertisement intervention of different pages through the advertisement intervention rules, and further improve experience of users in browsing pages.

Fig. 6 is a flowchart of an information processing method according to a first embodiment of the present disclosure.

As shown in fig. 6, the information processing method according to the embodiment of the present disclosure may specifically include the following steps:

S601, loading requests of different pages are obtained, advertisement intervention is carried out on the different pages according to advertisement intervention rules, and corresponding advertisement intervention results are obtained.

It should be noted that, after obtaining the loading requests of different pages, the client may load a plurality of pages, and when there are advertisements in the pages, intervene on the advertisements in the pages according to the advertisement intervention rules, so as to obtain the advertisement intervention results corresponding to each page.

Optionally, the advertising intervention result may further include configuration version information of the advertising intervention rules, advertising intervention policies, and the like.

It should be noted that, the specific manner of obtaining the advertisement intervention abnormal result is not limited in this disclosure, and may be selected according to actual situations.

Optionally, page image information of the page after the advertisement stem is predicted can be obtained, the page image information is identified, white pixels in the identification result of the page image information are determined, and the advertisement intervention result is determined to be abnormal.

For example, as shown in 2c in fig. 2, an error occurs when the advertisement intervention is performed on the page d through the advertisement intervention rule, that is, the advertisement intervention result is determined to be abnormal.

S602, sending the advertisement intervention result to a server, and receiving a processing result sent by the server for processing the advertisement intervention rule.

In the embodiment of the disclosure, after the advertisement intervention result is obtained, the advertisement intervention result may be sent to the server, accordingly, the server receives advertisement intervention results of different pages reported by a plurality of clients, determines, for each advertisement intervention rule, a misjudgment rate of the advertisement intervention rule based on the advertisement intervention result, processes the advertisement intervention rule according to the misjudgment rate, sends the processing result to a client associated with the advertisement intervention rule, and the client may receive the processing result sent by the server to process the advertisement intervention rule.

In summary, according to the information processing method of the embodiment of the disclosure, through obtaining loading requests of different pages, performing advertisement intervention on the different pages according to advertisement intervention rules, obtaining corresponding advertisement intervention results, sending the advertisement intervention results to a server, and receiving processing results sent by the server for processing the advertisement intervention rules.

It should be noted that, in the technical solution of the present disclosure, the acquisition, storage, application, etc. of the related personal information of the user all conform to the rules of the related laws and regulations, and do not violate the popular regulations of the public order.

Fig. 7 is a schematic structural view of an information processing apparatus according to an embodiment of the present disclosure.

As shown in fig. 7, the information processing apparatus 700, which is executed by a server, includes: a receiving module 710, a determining module 720, a processing module 730. Wherein:

the receiving module 710 is configured to receive advertisement intervention results of different pages reported by a plurality of clients, where advertisement intervention rules corresponding to the different pages are the same or different;

a determining module 720, configured to determine, for each advertisement intervention rule, a misjudgment rate of the advertisement intervention rule based on the advertisement intervention result, where the misjudgment rate is a ratio of errors occurring when advertisement intervention is performed on different pages by the advertisement intervention rule;

and the processing module 730 is configured to process the advertisement intervention rule according to the misjudgment rate, and send a processing result to a client associated with the advertisement intervention rule.

Wherein, the determining module 720 is configured to:

determining one or more target pages for advertisement intervention through the advertisement intervention rules from the different pages;

Based on the advertisement intervention result of the target pages, acquiring a first total number of normal advertisement intervention and a second total number of abnormal advertisement intervention of the one or more target pages through the advertisement intervention rules;

and determining the misjudgment rate of the advertisement intervention rule according to the first total times and the second total times.

The second total times of acquisition process comprises the following steps:

determining a first target page which is identified as an abnormal page from the one or more target pages based on the advertisement intervention result, and a first misjudgment number of the first target page which is interfered by advertisement abnormality;

determining a second target page which is identified as a normal page from the one or more target pages based on the advertisement intervention result, and preloading the second target page to acquire first image information of the second target page;

acquiring a second misjudgment number of abnormal intervention of the advertisement of the second target page according to the first image information and the second image information of the second target page predicted by the advertisement stem;

and determining the second total number of times based on the first number of erroneous determinations and the second number of erroneous determinations.

Wherein, the determining module 720 is configured to:

comparing the first image information with the second image information, and judging whether the second target page is interfered by advertisement abnormality or not;

and counting the number of pages which are subjected to abnormal intervention by the advertisement in the second target page, and determining the number of times of the second misjudgment based on the number of the pages.

Wherein, the processing module 730 is configured to:

acquiring a preset misjudgment rate threshold and a frequency threshold for carrying out advertisement intervention on different pages through the advertisement intervention rule;

and processing the advertisement intervention rule according to the misjudgment rate threshold and/or the frequency threshold.

Wherein, the processing module 730 is configured to:

if the misjudgment rate threshold and/or the frequency threshold meet a rule retaining condition, retaining the advertisement intervention rule; or,

and if the misjudgment rate threshold and/or the frequency threshold meet rule downloading conditions, downloading the advertisement intervention rule.

Wherein, the processing module 730 is configured to:

responding to the misjudgment rate being zero, and reserving the advertisement intervention rule; or,

and in response to the misjudgment rate not being zero and the misjudgment rate being lower than the misjudgment rate threshold, adding a white list to the page category with advertisement intervention abnormality, and reserving the advertisement intervention rule.

Wherein, the apparatus 700 is further configured to:

responding to the misjudgment rate not being zero and the misjudgment rate being lower than the misjudgment rate threshold value, and acquiring the page category of the advertisement abnormal intervention page;

and adding the page category into a white list.

Wherein, the processing module 730 is configured to:

responding to the misjudgment rate being larger than the misjudgment rate threshold, and carrying out offline processing on the advertisement intervention rule by the advertisement intervention rule, wherein the total times of advertisement intervention on different pages do not exceed the times threshold; or,

and responding to the misjudgment rate being larger than the misjudgment rate threshold, and adding a white list to the page category with advertisement intervention abnormality or performing offline processing to the advertisement intervention rule according to the service requirement by the total times exceeding the times threshold.

Wherein, the apparatus 700 is further configured to:

and acquiring the URL of each uniform resource locator of the different pages, and determining advertisement intervention rules corresponding to the pages according to the URL.

It should be noted that the above explanation of the embodiment of the information processing method is also applicable to the information processing apparatus of the embodiment of the present disclosure, and specific processes are not repeated here.

In summary, according to the information processing apparatus of the embodiment of the present disclosure, by receiving advertisement intervention results of different pages reported by a plurality of clients, where advertisement intervention rules corresponding to the different pages are the same or different, and determining, for each advertisement intervention rule, a misjudgment rate of the advertisement intervention rule based on the advertisement intervention results, where the misjudgment rate is a ratio of errors occurring when advertisement intervention is performed on the different pages by the advertisement intervention rule, processing the advertisement intervention rule according to the misjudgment rate, and sending the processing result to a client associated with the advertisement intervention rule.

Fig. 8 is a schematic structural view of an information processing apparatus according to an embodiment of the present disclosure.

As shown in fig. 8, the information processing apparatus 800, which is executed by a client, includes: intervention module 810, send module 820. Wherein:

the intervention module 810 is configured to obtain loading requests of different pages, perform advertisement intervention on the different pages according to advertisement intervention rules, and obtain corresponding advertisement intervention results;

And the sending module 820 is configured to send the advertisement intervention result to a server, and receive a processing result sent by the server for processing the advertisement intervention rule.

Wherein the advertising intervention results include, but are not limited to: page information of advertisement intervention, advertisement intervention rules, advertisement intervention normal/abnormal results and page image information of advertisement intervention.

Wherein, intervention module 810 is configured to:

acquiring page image information of a page subjected to advertisement stem prognosis;

and identifying the page image information, determining that the identification results of the page image information are all white pixels, and determining that the advertisement intervention result is abnormal.

In summary, the information processing apparatus according to the embodiments of the present disclosure performs advertisement intervention on different pages according to advertisement intervention rules by obtaining loading requests of the different pages, obtains corresponding advertisement intervention results, sends the advertisement intervention results to a server, and receives processing results sent by the server for processing the advertisement intervention rules.

According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

Fig. 9 shows a schematic block diagram of an example electronic device 900 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 9, the apparatus 900 includes a computing unit 901 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 902 or a computer program loaded from a storage unit 908 into a Random Access Memory (RAM) 903. In the RAM 903, various programs and data required for the operation of the device 900 can also be stored. The computing unit 901, the ROM 902, and the RAM 903 are connected to each other by a bus 904. An input/output (I/O) interface 905 is also connected to the bus 904.

Various components in device 900 are connected to I/O interface 905, including: an input unit 906 such as a keyboard, a mouse, or the like; an output unit 907 such as various types of displays, speakers, and the like; a storage unit 908 such as a magnetic disk, an optical disk, or the like; and a communication unit 909 such as a network card, modem, wireless communication transceiver, or the like. The communication unit 909 allows the device 900 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunications networks.

The computing unit 901 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 901 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 901 performs the respective methods and processes described above, for example, an information processing method. For example, in some embodiments, the information processing method. May be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 908. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 900 via the ROM 902 and/or the communication unit 909. When the computer program is loaded into the RAM 903 and executed by the computing unit 901, one or more steps of the information processing method described above may be performed. Alternatively, in other embodiments, the computing unit 901 may be configured to perform the information processing method by any other suitable means (e.g. by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory

(ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), the internet, and blockchain networks.

The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.

The present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements an information processing method as described above.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.

The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.

Claims

1. An information processing method, wherein the method is performed by a server, the method comprising:

receiving advertisement intervention results of different pages reported by a plurality of clients, wherein advertisement intervention rules corresponding to the different pages are the same or different;

Determining a misjudgment rate of each advertisement intervention rule based on the advertisement intervention result, wherein the misjudgment rate is a ratio of errors occurring when advertisement intervention is performed on different pages through the advertisement intervention rules;

and processing the advertisement intervention rule according to the misjudgment rate, and sending a processing result to a client associated with the advertisement intervention rule.

2. The method of claim 1, wherein the determining a false positive rate of the advertising intervention rule based on the advertising intervention result comprises:

3. The method of claim 2, wherein the second total number of acquisition processes comprises:

4. The method of claim 3, wherein the obtaining, according to the first image information and the second image information of the second target page after the second target page is advertised, the second misjudgment number of the second target page that is interfered by the advertisement abnormality includes:

5. The method of claim 1, wherein the processing the advertisement intervention rules according to the false positive rate comprises:

6. The method of claim 5, wherein the processing the advertisement intervention rules according to the false positive rate threshold and/or the number of times threshold comprises:

7. The method of claim 6, wherein the retaining the advertisement intervention rule if the misjudgment rate threshold and/or the number of times threshold satisfy a rule retaining condition comprises:

8. The method of claim 7, wherein the method further comprises:

and adding the page category into a white list.

9. The method of claim 6, wherein the performing the offline processing on the advertisement intervention rule if the misjudgment rate threshold and/or the number of times threshold satisfy a rule offline condition comprises:

10. The method of any of claims 1-9, wherein the method further comprises:

11. An information processing method, wherein the method is performed by a client, the method comprising:

acquiring loading requests of different pages, and performing advertisement intervention on the different pages according to advertisement intervention rules to acquire corresponding advertisement intervention results;

and sending the advertisement intervention result to a server, and receiving a processing result which is sent by the server and is used for processing the advertisement intervention rule.

12. The method of claim 11, wherein the advertising intervention result includes, but is not limited to: page information of advertisement intervention, advertisement intervention rules, advertisement intervention normal/abnormal results and page image information of advertisement intervention.

13. The method of claim 12, wherein the obtaining the advertising intervention anomaly result comprises:

14. An information processing apparatus, wherein the apparatus is executed by a server, the apparatus comprising:

the receiving module is used for receiving advertisement intervention results of different pages reported by a plurality of clients, wherein advertisement intervention rules corresponding to the different pages are the same or different;

The determining module is used for determining the misjudgment rate of the advertisement intervention rules based on the advertisement intervention results aiming at each advertisement intervention rule, wherein the misjudgment rate is the ratio of errors when advertisement intervention is carried out on different pages through the advertisement intervention rules;

and the processing module is used for processing the advertisement intervention rule according to the misjudgment rate and sending a processing result to a client associated with the advertisement intervention rule.

15. The apparatus of claim 14, wherein the means for determining is configured to:

16. The apparatus of claim 15, wherein the second total number of acquisition processes comprises:

17. The apparatus of claim 16, wherein the means for determining is configured to:

18. The apparatus of claim 14, wherein the processing module is configured to:

19. The apparatus of claim 18, wherein the processing module is configured to:

20. The apparatus of claim 19, wherein the processing module is configured to:

21. The apparatus of claim 10, wherein the apparatus is further configured to:

and adding the page category into a white list.

22. The apparatus of claim 19, wherein the processing module is configured to:

23. The apparatus of any of claims 14-22, wherein the apparatus is further configured to:

24. An information processing apparatus, wherein the apparatus is executed by a client, the apparatus comprising:

the intervention module is used for acquiring loading requests of different pages, performing advertisement intervention on the different pages according to advertisement intervention rules, and acquiring corresponding advertisement intervention results;

and the sending module is used for sending the advertisement intervention result to a server and receiving a processing result which is sent by the server and is used for processing the advertisement intervention rule.

25. The apparatus of claim 24, wherein the advertising intervention result includes, but is not limited to: page information of advertisement intervention, advertisement intervention rules, advertisement intervention normal/abnormal results and page image information of advertisement intervention.

26. The apparatus of claim 25, wherein the intervention module is to:

27. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-10 or claims 11-13.

28. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-10 or claims 11-13.

29. A computer program product comprising a computer program which, when executed by a processor, implements the steps of any of claims 1-10 or claims 11-13.