CN114840798A - Information generation method, device, equipment and storage medium - Google Patents

Information generation method, device, equipment and storage medium Download PDF

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Publication number
CN114840798A
CN114840798A CN202210529488.1A CN202210529488A CN114840798A CN 114840798 A CN114840798 A CN 114840798A CN 202210529488 A CN202210529488 A CN 202210529488A CN 114840798 A CN114840798 A CN 114840798A
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China
Prior art keywords
intervention
information
historical
category
result information
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CN202210529488.1A
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Chinese (zh)
Inventor
刘俊启
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Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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Priority to CN202210529488.1A priority Critical patent/CN114840798A/en
Publication of CN114840798A publication Critical patent/CN114840798A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
    • G06F16/9566—URL specific, e.g. using aliases, detecting broken or misspelled links

Abstract

The disclosure provides an information generation method, an information generation device, information generation equipment and a storage medium, and relates to the technical field of artificial intelligence such as computer vision. The method comprises the following steps: receiving intervention data information, wherein the intervention data information is used for representing the intervention condition of a preset intervention rule on a target object; determining intervention result information based on the intervention data information; and comparing the intervention result information with historical intervention information, and if the intervention result information and the historical intervention information are determined to meet the preset conditions, generating intervention early warning information. The information generation method provided by the disclosure improves the information generation efficiency and also improves the browsing experience of the user.

Description

Information generation method, device, equipment and storage medium
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to the field of artificial intelligence technologies such as computer vision, and in particular, to an information generation method, apparatus, device, and storage medium.
Background
With the development of science and technology, the internet technology is more mature, people can not leave the network more and more, and the mobile terminal meets the requirement that people can surf the internet anytime and anywhere. However, some web pages have other information besides the information content of the web page service, such as advertisements or pop-ups, which may affect the user's experience of browsing the page.
Disclosure of Invention
The disclosure provides an information generation method, an information generation device, an information generation apparatus and a storage medium.
According to a first aspect of the present disclosure, there is provided an information generating method including: receiving intervention data information, wherein the intervention data information is used for representing the intervention condition of a preset intervention rule on a target object; determining intervention result information based on the intervention data information; and comparing the intervention result information with historical intervention information, and if the intervention result information and the historical intervention information are determined to meet the preset conditions, generating intervention early warning information.
According to a second aspect of the present disclosure, there is provided an information generating apparatus including: the receiving module is configured to receive intervention data information, wherein the intervention data information is used for representing the intervention condition of a preset intervention rule on a target object; a determination module configured to determine intervention result information based on the intervention data information; and the comparison module is configured to compare the intervention result information with the historical intervention information, and if the intervention result information and the historical intervention information are determined to meet the preset conditions, the intervention early warning information is generated.
According to a third aspect of the present disclosure, 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 method as described in any one of the implementations of the first aspect.
According to a fourth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method as described in any one of the implementations of the first aspect.
According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method as described in any of the implementations of the first aspect.
According to the information generation method provided by the embodiment of the disclosure, by comparing the current intervention result information with the historical intervention information, the change of the intervention effect can be detected in time, the corresponding early warning information is generated, and the relevant personnel are reminded to adjust in time, so that the browsing experience of the user is improved; in addition, the whole process is automatic, manpower and material resources are saved, and the information generation efficiency is improved
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
FIG. 1 is an exemplary system architecture diagram in which the present disclosure may be applied;
FIG. 2 is a flow diagram of one embodiment of an information generation method according to the present disclosure;
FIG. 3 is a schematic diagram of one application scenario of an information generation method according to the present disclosure;
FIG. 4 is a flow diagram of another embodiment of an information generation method according to the present disclosure;
FIG. 5 is a schematic block diagram of one embodiment of an information generating apparatus according to the present disclosure;
fig. 6 is a block diagram of an electronic device for implementing the information generation method of the embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those 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.
It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 illustrates an exemplary system architecture 100 to which embodiments of the information generation method or information generation apparatus of the present disclosure may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or transmit information or the like. Various client applications may be installed on the terminal devices 101, 102, 103.
The terminal apparatuses 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices including, but not limited to, smart phones, tablet computers, laptop portable computers, desktop computers, and the like. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the above-described electronic apparatuses. It may be implemented as multiple pieces of software or software modules, or as a single piece of software or software module. And is not particularly limited herein.
The server 105 may provide various services. For example, the server 105 may analyze and process the intervention data information received from the terminal devices 101, 102, 103 and generate a processing result (e.g., generate intervention pre-warning information).
The server 105 may be hardware or software. When the server 105 is hardware, it may be implemented as a distributed server cluster composed of a plurality of servers, or may be implemented as a single server. When the server 105 is software, it may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.
It should be noted that the information generation method provided by the embodiment of the present disclosure is generally executed by the server 105, and accordingly, the information generation apparatus is generally disposed in the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to FIG. 2, a flow 200 of one embodiment of an information generation method according to the present disclosure is shown. The information generation method comprises the following steps:
step 201, intervention data information is received.
In this embodiment, an execution subject of the information generation method (for example, the server 105 shown in fig. 1) receives intervention data information, where the intervention data information is used to characterize an intervention situation of a preset intervention rule on a target object. The intervention data information is reported by a client, when a user browses a webpage, the client reports the webpage information browsed by the user, the intervention condition of a target object by an intervention rule preset when the user opens the webpage, the configuration version information of the preset intervention rule and other information, and the execution main body receives the intervention data information reported by the client.
Optionally, the target object may be advertisement information or pop-up window information, and the intervention rule refers to a mechanism or a rule for filtering the target object, that is, the intervention rule may be a mechanism for filtering advertisements in the page or a mechanism for filtering pop-up windows in the page. That is, the execution subject may receive the intervention condition of the preset intervention rule reported by the client on the advertisement in the page, that is, how many advertisements or popup windows are closed for the user.
Step 202, determining intervention result information based on the intervention data information.
In this embodiment, the execution subject determines intervention result information based on the intervention data information. Since the client reports url (uniform resource locator) of the web pages browsed by the user, the execution main body classifies all the web pages based on the url reported by the client, thereby obtaining a plurality of web page categories.
For example, all the web pages are classified by taking the site as a dimension, so as to obtain the web page corresponding to each site. Then, the execution subject calculates an average intervention advertisement number under each webpage category, and uses the average intervention advertisement number as intervention result information, wherein the average intervention advertisement number indicates an intervention result of the preset intervention rule on the advertisement in the webpage, and therefore, the intervention result information also indicates an intervention result of the preset intervention rule on the target object.
And step 203, comparing the intervention result information with historical intervention information, and if the intervention result information and the historical intervention information are determined to meet the preset conditions, generating intervention early warning information.
In this embodiment, the execution subject may obtain historical intervention information, and compare the determined intervention result information with the obtained historical intervention information, where the comparison may be performed according to a preset period, and the preset period may be one day, three days, one week, and the like, which is not specifically limited in this embodiment. And if the execution main body determines that the intervention result information and the historical intervention information meet the preset conditions after comparison, generating intervention early warning information and presenting the intervention early warning information to related personnel. The intervention early warning information may include the change condition of the intervention amount (the historical intervention amount and the current intervention amount), so that the related personnel can know the intervention change condition in time and adjust the intervention rule.
Optionally, the preset condition may be that the intervention result information is less than the historical intervention information, and if a plurality of pieces of pre-result information are less than the historical intervention information, it indicates that the intervention quantity is less, and indicates that the intervention effect on the target object is worse; the preset condition may be that the intervention result information is greater than the historical intervention information, and if a plurality of pieces of pre-result information are greater than the historical intervention information, the intervention quantity is increased, and the intervention effect on the target object is improved.
With continued reference to fig. 3, a schematic diagram of one application scenario of the information generation method according to the present disclosure is shown. In the application scenario, the execution body 302 may first obtain intervention data information 301, which is reported by the client and used for characterizing the intervention condition of the preset intervention rule on the target object. The execution subject 302 then determines intervention result information based on the intervention data information 301, wherein the intervention result information indicates the intervention result of the preset intervention rule on the target object. Execution subject 302 may then retrieve historical intervention information and compare the intervention result information with the retrieved historical intervention information. If the execution main body 302 determines that the intervention result information and the historical intervention information meet the preset conditions, for example, the intervention result information is smaller than the historical intervention information, intervention early warning information is generated and displayed to the relevant personnel, so that the relevant personnel can adjust the intervention rules in time.
The information generation method provided by the embodiment of the disclosure includes the steps of firstly receiving intervention data information; then determining intervention result information based on the intervention data information; and finally, comparing the intervention result information with historical intervention information, and if the intervention result information and the historical intervention information are determined to meet the preset conditions, generating intervention early warning information. According to the information generation method in the embodiment, by comparing the current intervention result information with the historical intervention information, the change of the intervention effect can be detected in time, corresponding early warning information is generated, relevant personnel are reminded to adjust the information, and the browsing experience of a user is improved; in addition, the whole process is automatic, manpower and material resources are saved, and the information generation efficiency is improved.
In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations and do not violate the good customs of the public order.
With continued reference to fig. 4, fig. 4 illustrates a flow 400 of another embodiment of an information generation method according to the present disclosure. The information generation method comprises the following steps:
step 401, intervention data information is received.
In this embodiment, an execution subject (for example, the server 105 shown in fig. 1) of the information generating method may receive intervention data information, where the intervention data information is used to characterize an intervention situation of a preset intervention rule on a target object. Step 401 is substantially the same as step 201 in the foregoing embodiment, and the specific implementation manner may refer to the foregoing description of step 201, which is not described herein again.
In some optional implementations of this embodiment, the target object includes advertising information; and the intervention data information comprises: the number of the intervening advertisements of the webpage is the total number of the intervening advertisement information when the webpage operates each time; a uniform resource locator of a web page.
In this implementation, the intervention data information may represent the intervention condition of the preset intervention rule on the advertisement, and the intervention rule is a mechanism for filtering the advertisement, so that the advertisement in the page may be filtered for the user based on the intervention rule.
The intervention data information may include the number of intervention advertisements of the web page, where the number of intervention advertisements is the total number of advertisement information to be intervened in each running of the web page, that is, the total number of advertisements filtered by the intervention rule in each running of the web page. The intervention data information may also include a uniform resource locator of the web page, i.e., the url of the web page. Optionally, the intervention data information may further include a rule that each intervened advertisement is valid, that is, an advertisement filtered by which intervention rule; in addition, the intervention data information can also comprise version information of the intervention rules configured by the client.
By receiving the intervention data information containing the number of the intervention advertisements of the webpage and the uniform resource locator of the webpage, the intervention result of the intervention rule on the advertisements can be accurately calculated based on the intervention data information.
Step 402, classifying all web pages based on uniform resource locators to obtain a plurality of web page categories.
In this embodiment, the execution body classifies all the webpages based on the uniform resource locator, so as to obtain a plurality of webpage categories. That is, the execution subject may classify and summarize all web pages according to url, so as to divide all web pages into a plurality of web page categories.
In some optional implementations of this embodiment, the category of web pages is a site category or a site path category.
A site refers to a collection of all resources of a website, that is, a folder for storing all web pages of the website, and from the perspective of a client, a site refers to the entire website, and site a may be denoted as www.a.com. The site path refers to a specific path under the site, the site path is a subset of the site, and the site path1 under the site a can be represented as www.a. com/path 1/.
When the webpage category is the website category, the execution entity divides all webpages by taking the website as a dimensionality, so that webpage information corresponding to a plurality of websites is obtained. When the webpage category is the website path category, the execution body divides all webpages by taking the website paths as dimensions, so that webpage information corresponding to the website paths is obtained.
By classifying all the webpages by taking the website or the website path as a dimension, the intervention information of all the webpages can be counted more quickly and accurately.
And 403, calculating the total advertisement intervention number of all the webpages in each webpage category in a preset period based on the intervention advertisement number.
In this embodiment, the execution subject may calculate the total number of advertisement interventions for all webpages in each webpage category in the preset period based on the number of intervention advertisements in the intervention data information. The preset period may be day, hour, or a few days, and may be set according to actual needs, which is not specifically limited in this embodiment. Since the number of intervening advertisements is the total number of advertisement information intervening each time the webpage runs, and all webpage information under each webpage category is already determined, the execution subject can calculate the total number of advertisement intervening advertisements of all webpages under each webpage category in a preset period.
And step 404, calculating the average page intervention advertisement number under each webpage category based on the total advertisement intervention number, and recording the average page intervention advertisement number as intervention result information.
In this embodiment, the executing body calculates the average number of intervening advertisements of the page in each webpage category based on the total number of intervening advertisements calculated in step 403, that is, the average number of intervening advertisements of the page in each webpage category is obtained by dividing the total number of intervening advertisements of each webpage category by the total number of webpages in the webpage category, so as to obtain the average number of intervening advertisements of the page in each webpage category, and the average number of intervening advertisements of the page is recorded as the intervening result information.
Step 405, taking the average number of intervention advertisements of the page under each site category in the historical period as historical intervention information.
In this embodiment, the executing entity uses the average number of intervention advertisements of the page in each site category in a history period as history intervention information, where the time length of the history period is the same as the preset period. Since the intervention rule may have a plurality of version information, and the number of advertisements in which different version information is effective is also different, the execution subject may determine the version information of the intervention rule in which each web page category is effective, obtain data of all times in which the intervention rule in the version is effective, determine a history period according to a preset period, and calculate the history intervention information.
For example, assuming that the preset period is 3 days, and then the history period is also 3, the execution subject calculates the average number of intervention advertisements of the page in each site category in the acquired history data within the history period (3 days), and uses the average number of intervention advertisements of the page as the history intervention information.
And step 406, comparing the intervention result information in the same site category with historical intervention information.
In this embodiment, the execution subject compares the intervention result information in the same site category with the historical intervention information. That is, for each site category, the execution subject respectively obtains the intervention result information and the historical intervention information in the category, and compares the intervention result information with the historical intervention information to determine whether the average intervention data of the page changes significantly.
Here, the comparison may be a comparison in one cycle, or may be a comparison in a plurality of cycles. Namely, the intervention result information and the historical intervention information can be compared in a cycle of 3 days, and the intervention result information and the historical intervention information can be compared in a cycle of 3 days and a cycle of 7 at the same time, so that the comprehensiveness and the accuracy of comparison are ensured.
Step 407, if it is determined that the intervention result information is smaller than the historical intervention information and the difference between the intervention result information and the historical intervention information is larger than a preset threshold, generating intervention early warning information.
In this embodiment, if the execution subject determines that the intervention result information is less than the historical intervention information and that the difference between the intervention result information and the historical intervention information is greater than the preset threshold, it indicates that the average intervention data of the page is significantly reduced, that is, the intervention efficiency of the current intervention rule is reduced, and also indicates that the advertisement attack and defense efficiency of the web page is improved, at this time, an attack and defense early warning is triggered, intervention early warning information is generated, and the intervention early warning information is presented, so that the relevant personnel can know the intervention rule and adjust the intervention rule. In addition, if the stations and paths are different, early warning is triggered independently.
The intervention early warning information may include information of a site or a site path, page average intervention data (including a previous period value and a current value), and a partial detail page (a page where a change of the intervention data of the partial page is obvious), so that the intervention early warning information including the above contents is displayed to related personnel, so that the related personnel can adjust the intervention rules in time, and the intervention efficiency of the advertisement is improved.
As an example, the average number of intervention advertisements (intervention data information) on a page is 1, while the average number of acquired intervention advertisements (historical intervention information) on a historical page is 7, and then the intervention data information is smaller than the historical intervention information, and a difference value 6 between the intervention data information and the historical intervention information is greater than a preset threshold value 5, which indicates that the current intervention data is obviously reduced, indicates that the advertisement attack and defense effect of the site is good, generates intervention early warning information, and notifies related personnel to adjust the intervention rules in time.
As can be seen from fig. 4, compared with the embodiment corresponding to fig. 2, in the information generating method in this embodiment, the method detects and identifies the advertisement intervention state in time through an automated means, so that the advertisement intervention efficiency is improved, and the browsing experience of the user is improved.
With further reference to fig. 5, as an implementation of the methods shown in the above-mentioned figures, the present disclosure provides an embodiment of an information generating apparatus, which corresponds to the method embodiment shown in fig. 2, and which is particularly applicable to various electronic devices.
As shown in fig. 5, the information generating apparatus 500 of the present embodiment includes: a receiving module 501, a determining module 502 and a comparing module 503. The receiving module 501 is configured to receive intervention data information, where the intervention data information is used to represent an intervention condition of a preset intervention rule on a target object; a determination module 502 configured to determine intervention result information based on the intervention data information; the comparison module 503 is configured to compare the intervention result information with the historical intervention information, and generate intervention early warning information if it is determined that the intervention result information and the historical intervention information meet the preset condition.
In the present embodiment, in the information generating apparatus 500: the specific processing and the technical effects of the receiving module 501, the determining module 502 and the comparing module 503 can refer to the related descriptions of step 201 and step 203 in the corresponding embodiment of fig. 2, which are not described herein again.
In some optional implementations of this embodiment, the target object includes advertising information; and the intervention data information comprises: the number of the intervening advertisements of the webpage is the total number of the intervening advertisement information when the webpage operates each time; a uniform resource locator of a web page.
In some optional implementations of this embodiment, the determining module includes: the classification submodule is configured to classify all the webpages based on the uniform resource locators to obtain a plurality of webpage categories; the first calculation sub-module is configured to calculate the advertisement intervention total number of all the webpages in each webpage category in a preset period based on the intervention advertisement number; and the second calculation sub-module is configured to calculate the average page intervention advertisement number under each webpage category based on the total advertisement intervention number, and record the average page intervention advertisement number as intervention result information.
In some optional implementations of this embodiment, the category of web pages is a site category or a site path category.
In some optional implementations of this embodiment, the comparing module includes: the sub-module is configured to use the average number of the intervention advertisements of the page under each site category in a historical period as historical intervention information, wherein the historical period is the same as the preset period in time length; the comparison submodule is configured to compare the intervention result information under the same site category with the historical intervention information; and the generation submodule is configured to generate intervention early warning information if the intervention result information is determined to be smaller than the historical intervention information and the difference value between the intervention result information and the historical intervention information is greater than a preset threshold value.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can 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 phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 6, the apparatus 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 can also be stored. The calculation unit 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, or the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
Computing unit 601 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 601 executes the respective methods and processes described above, such as the information generation method. For example, in some embodiments, the information generation method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of a computer program may be loaded onto and/or installed onto device 600 via ROM 602 and/or communications unit 609. When the computer program is loaded into the RAM 603 and executed by the computing unit 601, one or more steps of the information generating method described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the information generation 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 circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a 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 that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes 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 codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. 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. A 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), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, 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 a pointing device (e.g., a mouse or a 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 can 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, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end 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 back-end, 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), and the Internet.
Cloud computing (cloud computer) refers to a technology architecture that accesses a flexibly extensible shared physical or virtual resource pool through a network, where the resource may include a server, an operating system, a network, software, an application or a storage device, and the like, and can be deployed and managed in an on-demand and self-service manner. Through the cloud computing technology, high-efficiency and strong data processing capacity can be provided for technical application and model training of artificial intelligence, block chains and the like.
The computer system may include clients and servers. A client and server are generally 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 with a combined blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims (13)

1. An information generating method, comprising:
the method comprises the steps of receiving intervention data information, wherein the intervention data information is used for representing the intervention condition of a preset intervention rule on a target object;
determining intervention result information based on the intervention data information;
and comparing the intervention result information with historical intervention information, and if the intervention result information and the historical intervention information are determined to meet preset conditions, generating intervention early warning information.
2. The method of claim 1, wherein the target object comprises advertising information; and
the intervention data information comprises:
the number of the intervening advertisements of the webpage is the total number of the intervening advertisement information when the webpage operates each time;
a uniform resource locator of a web page.
3. The method of claim 2, wherein said determining intervention result information based on said intervention data information comprises:
classifying all the webpages based on the uniform resource locators to obtain a plurality of webpage categories;
calculating the advertisement intervention total number of all webpages under each webpage category in a preset period based on the intervention advertisement number;
and calculating the average page intervention advertisement number under each webpage category based on the advertisement intervention total number, and recording the average page intervention advertisement number as the intervention result information.
4. The method of claim 3, wherein the web page category is a site category or a site path category.
5. The method of claim 4, wherein the comparing the intervention result information with historical intervention information, and if it is determined that the intervention result information and the historical intervention information satisfy a preset condition, generating intervention early warning information comprises:
taking the average intervention advertisement number of the page under each site category in a historical period as historical intervention information, wherein the time length of the historical period is the same as that of the preset period;
comparing the intervention result information under the same site category with the historical intervention information;
and if the intervention result information is determined to be smaller than the historical intervention information and the difference value between the intervention result information and the historical intervention information is greater than a preset threshold value, generating intervention early warning information.
6. An information generating apparatus comprising:
the receiving module is configured to receive intervention data information, wherein the intervention data information is used for representing the intervention condition of a preset intervention rule on a target object;
a determination module configured to determine intervention result information based on the intervention data information;
and the comparison module is configured to compare the intervention result information with historical intervention information, and if the intervention result information and the historical intervention information are determined to meet preset conditions, intervention early warning information is generated.
7. The apparatus of claim 6, wherein the target object comprises advertising information; and
the intervention data information comprises:
the number of the intervening advertisements of the webpage is the total number of the intervening advertisement information when the webpage operates each time;
a uniform resource locator of a web page.
8. The apparatus of claim 7, wherein the means for determining comprises:
a classification submodule configured to classify all web pages based on the uniform resource locator, resulting in a plurality of web page categories;
the first calculation sub-module is configured to calculate the advertisement intervention total number of all the webpages in each webpage category in a preset period based on the intervention advertisement number;
and the second calculation sub-module is configured to calculate the average number of the intervention advertisements of the page under each webpage category based on the total number of the intervention advertisements, and record the average number of the intervention advertisements of the page as the intervention result information.
9. The apparatus of claim 8, wherein the web page category is a site category or a site path category.
10. The apparatus of claim 9, wherein the comparison module comprises:
the sub-module is configured to use the average number of intervention advertisements of the page under each site category in a history period as history intervention information, wherein the time length of the history period is the same as that of the preset period;
a comparison submodule configured to compare the intervention result information with the historical intervention information in the same site category;
the generation submodule is configured to generate intervention early warning information if the intervention result information is determined to be smaller than the historical intervention information and the difference value between the intervention result information and the historical intervention information is greater than a preset threshold value.
11. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
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 1-5.
12. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-5.
13. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-5.
CN202210529488.1A 2022-05-16 2022-05-16 Information generation method, device, equipment and storage medium Pending CN114840798A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210529488.1A CN114840798A (en) 2022-05-16 2022-05-16 Information generation method, device, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210529488.1A CN114840798A (en) 2022-05-16 2022-05-16 Information generation method, device, equipment and storage medium

Publications (1)

Publication Number Publication Date
CN114840798A true CN114840798A (en) 2022-08-02

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210529488.1A Pending CN114840798A (en) 2022-05-16 2022-05-16 Information generation method, device, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN114840798A (en)

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