CN114399333A - Method, device, equipment and storage medium for detecting medium information releasing effect - Google Patents

Method, device, equipment and storage medium for detecting medium information releasing effect Download PDF

Info

Publication number
CN114399333A
CN114399333A CN202210004187.7A CN202210004187A CN114399333A CN 114399333 A CN114399333 A CN 114399333A CN 202210004187 A CN202210004187 A CN 202210004187A CN 114399333 A CN114399333 A CN 114399333A
Authority
CN
China
Prior art keywords
target
target application
media information
application
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210004187.7A
Other languages
Chinese (zh)
Inventor
杨福志
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Baidu Netcom Science and Technology Co Ltd
Original Assignee
Beijing Baidu Netcom Science and Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Baidu Netcom Science and Technology Co Ltd filed Critical Beijing Baidu Netcom Science and Technology Co Ltd
Priority to CN202210004187.7A priority Critical patent/CN114399333A/en
Publication of CN114399333A publication Critical patent/CN114399333A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0242Determining effectiveness of advertisements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3003Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/302Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Computing Systems (AREA)
  • Strategic Management (AREA)
  • General Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Mathematical Physics (AREA)
  • Quality & Reliability (AREA)
  • General Engineering & Computer Science (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

The disclosure provides a method, a device, equipment and a storage medium for detecting the releasing effect of media information, and relates to the technical field of cloud computing, in particular to the technical field of cloud mobile phones. The specific implementation scheme is as follows: determining a target application to be started in the cloud mobile phone; if the target application is identified to meet the medium information detection condition, acquiring running process data of the target application; and detecting the putting effect of the target medium information to be detected in the target application according to the operation process data. Through the technical scheme, a new solution is provided for detecting the releasing effect of the medium information.

Description

Method, device, equipment and storage medium for detecting medium information releasing effect
Technical Field
The disclosure relates to the technical field of cloud computing, in particular to the technical field of cloud mobile phones, and relates to a method, a device, equipment and a storage medium for detecting the putting effect of media information.
Background
With the development of internet technology, media information delivery modes are more and more diversified. For example, the media information may be accessed into an application for delivery. Then, it is important to detect the effect of delivering media information to access the application.
Disclosure of Invention
The disclosure provides a method, a device, equipment and a storage medium for detecting the launching effect of media information.
According to an aspect of the present disclosure, there is provided a method for detecting a delivery effect of media information, the method including:
determining a target application to be started in the cloud mobile phone;
if the target application is identified to meet the medium information detection condition, acquiring running process data of the target application;
and detecting the putting effect of the target medium information to be detected in the target application according to the operation process data.
According to another aspect of the present disclosure, there is provided an electronic device including:
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, and the instructions are executable by the at least one processor to enable the at least one processor to perform the method for detecting a launch effect of media information according to any of the embodiments of the present disclosure.
According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method for detecting a delivery effect of media information according to any one of the embodiments of the present disclosure.
According to the technology disclosed by the invention, a new solution is provided for detecting the releasing effect of the medium information.
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 a flowchart of a method for detecting a delivery effect of media information according to an embodiment of the present disclosure;
fig. 2 is a flowchart of another method for detecting a delivery effect of media information according to an embodiment of the present disclosure;
fig. 3 is a flowchart of another method for detecting a delivery effect of media information according to an embodiment of the present disclosure;
fig. 4 is a flowchart of a method for detecting a delivery effect of media information according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a device for detecting a delivery effect of media information according to an embodiment of the present disclosure;
fig. 6 is a block diagram of an electronic device for implementing a method for detecting a delivery effect of media information according to an 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.
Fig. 1 is a flowchart of a method for detecting a delivery effect of media information according to an embodiment of the present disclosure, and the embodiment of the present disclosure is applicable to a situation how to detect a delivery effect of media information. The method can be executed by a device for detecting the releasing effect of the medium information, and the device can be realized in a software and/or hardware mode and can be integrated in a cloud mobile phone. As shown in fig. 1, the method for detecting the impression effect of media information in this embodiment may include:
s101, determining a target application to be started in the cloud mobile phone.
In this embodiment, the target application is any application in the cloud mobile phone to be started.
Optionally, if an application starting operation acting on a cloud mobile phone client in the user terminal is detected, a target application to be started in the cloud mobile phone is determined according to the application starting operation. For example, a user may click any application icon on a cloud mobile phone client in a user terminal, and then a cloud mobile phone corresponding to the cloud mobile phone client may recognize a click operation of the user, and determine a target application to be started in the cloud mobile phone based on the click operation. For another example, a user may wake up any application on a cloud mobile phone client in the user terminal through a voice, and then the cloud mobile phone corresponding to the cloud mobile phone client may recognize the wake-up voice of the user, and determine a target application to be started in the cloud mobile phone based on the wake-up voice.
The user terminal is a terminal device held by a user, and may be a real mobile phone, a tablet computer, a desktop computer, or an intelligent watch, for example; furthermore, a cloud mobile phone client can be configured in the user terminal, wherein the cloud mobile phone client is a bridge for connecting the cloud mobile phone and the user terminal, and is also a bridge for displaying data and the like applied to or transmitted by the cloud mobile phone to the user by the user terminal; the cloud mobile phone client can be configured with the user terminal in an independent APP form, can be hosted in any application program on the user terminal in an applet form, or can be a browser interface and the like. For example, each cloud mobile phone in the cloud may correspond to a cloud mobile phone client.
And S102, if the target application is identified to meet the medium information detection condition, acquiring the running process data of the target application.
In the present embodiment, the medium information is information for promoting a product or a campaign, and may be, for example, a product advertisement, a service advertisement, or a marketing campaign advertisement. Alternatively, the media information may be image type information, video type information, or the like. Further, the media information may be built into the application.
The medium information detection condition is a preset condition for detecting medium information of an application. For example, the medium information detection condition may include that medium information is built in the application, may also include that medium information which has not been detected in the application for a period of time exists, or may also include that target medium information to be detected exists in the application, and the like. Further, the media information detection condition may be determined according to configuration information of a party to which the application having the media information is built in the cloud mobile phone. Wherein, the belonged party is the developer of the application.
Alternatively, there are many ways to identify that the target application satisfies the medium information detection condition. For example, identifying that the target application has built-in media information; for another example, it is recognized that there is media information built in the target application, and the current version of the target application is equal to or higher than the preset version, etc. The preset version is set by the party of the target application according to the actual situation.
Further, the running process of the target application can be monitored under the condition that the target application is identified to meet the medium information detection condition, so that running process data of the target application in the running process can be acquired.
The running process data refers to data in the running process of the target application, and may include, but is not limited to, log data of the target application, data related to media information in the target application, and the like. Further, the operation process data at least comprises data related to the medium information in the target application.
S103, detecting the putting effect of the target medium information to be detected in the target application according to the operation process data.
In this embodiment, the target media information to be detected may be all media information in the target application, may also be any one or more media information in the target application, and further may also be one or more media information specified in the target application.
The impression effect may include, but is not limited to, a presentation effect of the target media information in the target application (such as resolution, position, number, and the like of landing page images), a response effect of the user to the target media information (such as clicking, trading, and the like), and the like.
Optionally, the delivery effect of the target media information to be detected in the target application may be detected based on the effect detection model according to the operation process data. Specifically, the operation process data and the target medium information to be detected can be input into the effect detection model, and the delivery effect of the target medium information can be obtained through model processing. The effect detection model can be obtained by pre-training based on algorithms such as machine learning and the like.
It should be noted that, in the whole operation process of the target application at the user terminal, the cloud mobile phone detects the delivery effect of the target media information to be detected in the target application. The user is unaware of the detection of the delivery effect of the entire target media information.
According to the technical scheme provided by the embodiment of the disclosure, the target application to be started in the cloud mobile phone is determined, then if the target application is identified to meet the media information detection condition, the operation process data of the target application is obtained, and then the delivery effect of the target media information to be detected in the target application is detected according to the operation process data. According to the technical scheme, the cloud mobile phone is used, so that the releasing effect of media information built in the target application can be detected in the running process of the target application; meanwhile, the application is operated by means of the cloud mobile phone in the scheme, so that the memory occupation of the user terminal is reduced.
Fig. 2 is a flowchart of another method for detecting a delivery effect of media information according to an embodiment of the present disclosure. On the basis of the above embodiment, an alternative implementation scheme is provided for further optimizing the condition that the target application is identified to meet the medium information detection condition. As shown in fig. 2, the method for detecting the impression effect of the media information of this embodiment may include:
s201, determining a target application to be started in the cloud mobile phone.
S202, if the target application is identified to belong to the application associated with the target medium information to be detected, acquiring the running process data of the target application.
In this embodiment, the application associated with the target media information may be an application that needs to perform media information detection and has the target media information embedded therein. Furthermore, the same media information can be arranged in different applications; in this scenario, the application associated with the target media information is one or more of all applications with the target media information embedded therein.
For example, the media information is advertisement a, the advertisement a is embedded in application 1 and application 2, and the application associated with the advertisement a is preset as application 1; furthermore, if it is determined that the target application to be started in the cloud mobile phone is application 1, the target media information to be detected is advertisement a, that is, the application 1 belongs to the application (that is, application 1) associated with the advertisement a to be detected.
Specifically, if the target application is identified to belong to the application associated with the target medium information to be detected, the running process data of the target application is acquired. For example, if the application 1 belongs to an application associated with the advertisement a to be detected, the cloud mobile phone monitors the application 1, and obtains operation process data of the application 1 in an operation process.
And S203, detecting the putting effect of the target medium information to be detected in the target application according to the operation process data.
According to the technical scheme provided by the embodiment of the disclosure, the target application to be started in the cloud mobile phone is determined, then if the target application is identified to belong to the application associated with the target media information to be detected, the operation process data of the target application is obtained, and then the delivery effect of the target media information to be detected in the target application is detected according to the operation process data. According to the technical scheme, the accurate management of the medium information detection is realized by introducing the limiting conditions for the application; meanwhile, the effect of flexibly selecting the application needing media information detection can be realized under the scene that a plurality of applications are simultaneously provided with the same media information.
On the basis of any of the above embodiments, as an optional manner of the embodiments of the present disclosure, any of the following manners may be adopted to recognize that the target application satisfies the medium information detection condition:
and (I) identifying the target application as an application with medium information detection requirement.
The medium information detection requirement is a requirement for detecting the delivery effect of the medium information. Optionally, the application with the media information built in may be regarded as an application with media information detection requirements; alternatively, the application that has the medium information detection requirement may be determined according to the configuration information of the application owner.
For example, the applications with the media information embedded therein may be constructed into a list, i.e., an application list, and then if the target application belongs to the applications in the application list, it is determined that the target application satisfies the media information detection condition.
And secondly, recognizing that target medium information to be detected is arranged in the target application.
For example, when the media information is embedded in the application, a media identifier may be set for the media information, and if it is recognized that the target application has the target media identifier embedded therein, that is, the target application has the target media information to be detected embedded therein, it is determined that the target application satisfies the media information detection condition.
And thirdly, recognizing that target media information to be detected is arranged in the target application, wherein the current version of the target application is equal to or higher than the set version.
Specifically, whether target media information to be detected is built in the target application or not and whether the current version of the target application is equal to or higher than the set version or not can be identified according to detailed introduction information of the target application or configuration information of a party to which the target application belongs; further, when the target application is recognized to be internally provided with target media information to be detected, and the current version of the target application is equal to or higher than the set version, the target application is determined to meet media information detection conditions.
It should be noted that one application may have multiple versions, and this embodiment further details management of media information detection by limiting the versions of the application.
It can be understood that, the present embodiment further enriches the medium information detection conditions, and widens the application range and flexibility of the scheme.
On the basis of any of the above embodiments, as an optional way of the embodiments of the present invention, the obtaining of the running process data of the target application may also be, in the running process of the target application, intercepting a landing page image of the target media information in the target application. Specifically, in the running process of the target application, the cloud mobile phone can monitor the picture display effect in the running process of the target application and intercept the landing page image of the target media information in the target application.
In yet another alternative, the log data of the target application may also be obtained during the running process of the target application. Specifically, in the running process of the target application, the cloud mobile phone can monitor the log file in the running process of the target application, and can capture the log data of the target application from the log file of the target application. The log data may include, but is not limited to, data of click operations and transaction operations (such as downloading and ordering) of the user.
In another alternative mode, the landing page image of the target media information in the target application can be intercepted in the running process of the target application, and meanwhile, the log data of the target application is obtained.
It can be understood that, by acquiring the landing page image of the target media information and/or the log data of the target application in the running process of the target application, the running process data of the target application can be accurately, comprehensively and flexibly acquired.
Fig. 3 is a flowchart of another method for detecting a delivery effect of media information according to an embodiment of the present disclosure. On the basis of the above embodiment, an optional implementation scheme is provided for further optimizing the "detection of the delivery effect of the target media information to be detected in the target application according to the operation process data". As shown in fig. 3, the method for detecting the impression effect of the media information of this embodiment may include:
s301, determining a target application to be started in the cloud mobile phone.
S302, if the target application is identified to meet the medium information detection condition, acquiring the running process data of the target application.
S303, determining a detection index of the target medium information according to the type of the target medium information to be detected in the target application.
In this embodiment, the type of the media information may include, but is not limited to, images, videos, texts, and the like. The detection indexes can include but are not limited to landing page display effect, conversion effect, interaction effect and the like; optionally, the detection indexes of different types of media information are different.
For example, if the type of the target media information to be detected in the target application is identified as an image, the detection index of the target media information is determined to be the landing page display effect.
For another example, if it is recognized that the type of the target media information to be detected in the target application is a video, determining the detection index of the target media information to be a conversion effect and/or an interaction effect.
For another example, if the type of the target media information to be detected in the target application is identified as an image and a video, determining the detection index of the target media information as a landing page display effect, a conversion effect and an interaction effect.
Further, when determining the detection index of the target medium information, the configuration information of the target application affiliated party can be combined. Specifically, the detection index of the target media information may be determined according to the type of the target media information to be detected in the target application and the configuration information of the party to which the target application belongs. For example, if the type of the target media information to be detected in the target application is an image, and the detection index of the target media information to be detected in the configuration information of the party to which the target application belongs is specified to at least include an interaction effect, the detection index of the target media information can be determined to be a landing page display effect, an interaction effect, and the like.
S304, acquiring target data of the target medium information related to the detection index from the operation process data.
In this embodiment, the target data is data associated with a detection index of the target medium information in the operation process data.
Specifically, a data capture technology may be adopted to obtain target data of target medium information associated with the detection index from the operation process data.
Alternatively, a data capture technique may be used to obtain target data of target medium information associated with the floor page display effect, such as floor page image data, from the operation process data.
In yet another alternative, data capture techniques may be used to obtain target data of target media information associated with conversion effects and/or interaction effects, such as click data, transaction data, etc., from the running process data, i.e., log data.
S305, determining the delivery effect of the target medium information according to the target data.
In an alternative mode, the delivery effect of the target medium information may be determined according to the target data based on the delivery effect detection model. Specifically, the target data may be input into the delivery effect detection model, and the delivery effect of the target medium information is obtained through model processing.
In yet another alternative, the target medium information delivery effect may be determined according to the target data and the target medium information delivery parameters based on a statistical analysis algorithm. The release parameters are preset parameters according to actual requirements by a developer, and may include, but are not limited to, standard image resolution, standard image position, standard image size, standard image number, standard click times, standard transaction success times, and the like.
For example, if the target data is landing page image data, the image resolution, the image position, the image size, the image data, and the like in the landing page image data may be compared and analyzed with preset delivery parameters of the target media information based on a statistical analysis algorithm, so as to obtain a delivery effect of the target media information. For example, whether the image resolution, the image position, the image size, the image quantity and the like of the landing page image meet the release parameters or not; or determining a display score according to the comparison result; and determining the putting effect of the target medium information according to the display score, such as good.
For another example, if the target data is data such as a log, counting the number of clicks, the number of transactions, the number of successful target transactions, and the like in the log data based on a statistical analysis algorithm, and comparing the number of clicks, the number of transactions, the number of successful target transactions, and the like in the log data with preset release parameters of the target medium information to obtain a release effect of the target medium information. Such as whether the number of clicks, the number of transactions, the number of successful transactions, etc. of the target media information in the log data satisfy the release parameters.
The method includes the steps of determining a target application to be started in the cloud mobile phone, obtaining operation process data of the target application if the target application is identified to meet a medium information detection condition, then determining a detection index of the target medium information according to the type of the target medium information to be detected in the target application, obtaining target data of the target medium information related to the detection index from the operation process data, and then determining the delivery effect of the target medium information according to the target data. According to the technical scheme, the detection index is determined based on the type of the medium information, so that the flexibility of medium information detection is improved; meanwhile, the method and the device for detecting the releasing effect of the media information detect the releasing effect of the media information based on the data of the media information related to the detection index, so that the releasing effect detection effect can be improved, and the releasing effect detection accuracy can be improved.
On the basis of any of the above embodiments, as an optional manner of the embodiments of the present disclosure, the detection result of the target intermediary information may also be sent to the party to which the target application belongs. Optionally, the detection indexes are different, and the detection results are different; for example, if the detection index is the landing page display effect, the detection result may be whether the resolution, position, size, number, and the like of the landing page image of the target media information are consistent with the preset delivery parameters of the media information.
Specifically, after the detection of the delivery effect of the target media information to be detected in the target application is completed, the detection result of the target media information may be sent to the developer of the target application in the form of a table or the like.
It can be understood that the detection result is sent to the affiliated party of the target application, so that the affiliated party of the target application can intuitively know the delivery effect of the target media information, and the target media information can be optimized subsequently.
Fig. 4 is a flowchart of a method for detecting a delivery effect of media information according to an embodiment of the present disclosure. On the basis of the above embodiment, the method further optimizes the step of detecting the delivery effect of the target media information to be detected in the target application according to the operation process data, and provides an optional implementation scheme. As shown in fig. 4, the method for detecting the impression effect of the media information of this embodiment may include:
s401, determining a target application to be started in the cloud mobile phone.
S402, if the target application is identified to meet the medium information detection condition, acquiring the running process data of the target application.
And S403, selecting target media information to be detected from the optional media information built in the target application according to the historical detection result.
In this embodiment, the historical detection result is a detection result of the media information before the current detection, and may include the detection times of the media information, the historical delivery effect, and the like. The optional medium information is medium information for detecting the delivery effect.
According to an optional mode, target media information to be detected can be selected from optional media information built in the target application according to the detection times in the historical detection result. For example, media information that has not been detected for a period of time, which has a number of detections of 0, may be selected as the target media information from among the selectable media information.
In another optional mode, the target media information to be detected can be selected from the optional media information built in the target application according to the historical delivery effect in the historical detection result. For example, media information with poor historical delivery effect can be selected from the selectable media information as the target media information.
S404, acquiring target data of the target medium information from the operation process data.
Specifically, a data capture technique may be employed to capture target data of the target medium information from the operation process data.
S405, determining the delivery effect of the target medium information according to the target data.
According to the technical scheme provided by the embodiment of the disclosure, the target application to be started in the cloud mobile phone is determined, if the target application is identified to meet the media information detection condition, the running process data of the target application is obtained, then the target media information to be detected is selected from the optional media information built in the target application according to the historical detection result, the target data of the target media information is obtained from the running process data, and then the putting effect of the target media information is determined according to the target data. Through historical detection results, target media information is determined, and then the releasing effect is determined, so that the condition of unbalanced detection of the media information can be avoided, developers can comprehensively know the releasing effect of the media information, and follow-up improvement can be achieved.
Fig. 5 is a schematic structural diagram of a device for detecting a delivery effect of media information according to an embodiment of the present disclosure. The embodiment of the disclosure is suitable for the situation of how to detect the delivery effect of the media information. The method can be executed by a device for detecting the releasing effect of the medium information, and the device can be realized in a software and/or hardware mode and can be integrated in a cloud mobile phone. As shown in fig. 4, the device 500 for detecting the effectiveness of delivery of media information includes:
a target application determining module 501, configured to determine a target application to be started in a cloud mobile phone;
the running process data determining module 502 is configured to obtain running process data of the target application if it is identified that the target application meets the medium information detection condition;
and the releasing effect detection module 503 is configured to detect a releasing effect of the target media information to be detected in the target application according to the operation process data.
According to the technical scheme provided by the embodiment of the disclosure, the target application to be started in the cloud mobile phone is determined, then if the target application is identified to meet the media information detection condition, the operation process data of the target application is obtained, and then the delivery effect of the target media information to be detected in the target application is detected according to the operation process data. According to the technical scheme, the cloud mobile phone is used, so that the releasing effect of media information built in the target application can be detected in the running process of the target application; meanwhile, the application is operated by means of the cloud service of the cloud mobile phone, so that the memory occupation of the user terminal is reduced.
Further, the operation process data determination module 502 is specifically configured to:
identifying that the target application meets a medium information detection condition, wherein the medium information detection condition comprises at least one of the following items:
identifying that the target application belongs to the application associated with the target medium information to be detected;
identifying the target application as an application with medium information detection requirement;
and recognizing that target medium information to be detected is arranged in the target application.
Further, the operation process data determining module 502 is further specifically configured to:
intercepting a landing page image of target medium information in a target application in the running process of the target application; and/or the presence of a gas in the gas,
and acquiring the log data of the target application in the running process of the target application.
Further, the impression effect detection module 503 is specifically configured to:
determining a detection index of target media information according to the type of the target media information to be detected in the target application;
acquiring target data of target medium information associated with the detection index from the operation process data;
and determining the delivery effect of the target medium information according to the target data.
Further, the putting effect detection module 503 is further specifically configured to:
selecting target media information to be detected from optional media information built in the target application according to a historical detection result;
acquiring target data of target medium information from the operation process data;
and determining the delivery effect of the target medium information according to the target data.
Further the apparatus further comprises:
and the detection result sending module is used for sending the detection result of the target medium information to the party of the target application.
In the technical scheme of the disclosure, the acquisition, storage, application and the like of the related media information data, the operation process data, the application data and the like all accord with the regulations of related laws and regulations, and do not violate the good custom of the public order.
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 electronic device 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 necessary for the operation of the electronic apparatus 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.
Various components in the electronic 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 electronic device 600 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.
The computing unit 601 may be a variety of general and/or special purpose processing components having 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 delivery effect detection method of the medium information. For example, in some embodiments, the impression detection method of the media information may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 600 via the ROM 602 and/or the communication 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 above-described delivery effect detection method of media information may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the impression effect detection method of the medium information 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), Complex 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 media information launch effect detection apparatus, such that the program codes, when executed by the processor or controller, cause the functions/acts specified in the flowchart and/or block diagram block or blocks 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.
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.
Artificial intelligence is the subject of research that makes computers simulate some human mental processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), both at the hardware level and at the software level. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing, and the like; the artificial intelligence software technology mainly comprises a computer vision technology, a voice recognition technology, a natural language processing technology, a machine learning/deep learning technology, a big data processing technology, a knowledge map technology and the like.
Cloud computing (cloud computing) refers to a technology system that accesses a flexibly extensible shared physical or virtual resource pool through a network, where resources may include servers, operating systems, networks, software, applications, storage devices, and the like, and may be deployed and managed in a self-service manner as needed. 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.
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 (15)

1. A method for detecting the delivery effect of media information comprises the following steps:
determining a target application to be started in the cloud mobile phone;
if the target application is identified to meet the medium information detection condition, acquiring running process data of the target application;
and detecting the delivery effect of the target medium information to be detected in the target application according to the operation process data.
2. The method of claim 1, wherein the identifying that the target application satisfies a media information detection condition comprises at least one of:
identifying that the target application belongs to an application associated with target medium information to be detected;
identifying the target application as an application with medium information detection requirement;
and recognizing that target medium information to be detected is arranged in the target application.
3. The method of claim 1, wherein the obtaining operational process data of the target application comprises:
intercepting a landing page image of target media information in the target application in the running process of the target application; and/or the presence of a gas in the gas,
and acquiring the log data of the target application in the running process of the target application.
4. The method according to claim 1, wherein the detecting the delivery effect of the target media information to be detected in the target application according to the operation process data comprises:
determining a detection index of the target media information according to the type of the target media information to be detected in the target application;
acquiring target data of the target medium information related to the detection index from the operation process data;
and determining the delivery effect of the target medium information according to the target data.
5. The method according to claim 1, wherein the detecting the delivery effect of the target media information to be detected in the target application according to the operation process data comprises:
according to a historical detection result, selecting target media information to be detected from optional media information built in the target application;
acquiring target data of the target medium information from the operation process data;
and determining the delivery effect of the target medium information according to the target data.
6. The method of claim 1, further comprising:
and sending the detection result of the target media information to the party of the target application.
7. A device for detecting the effectiveness of a medium message, comprising:
the target application determining module is used for determining a target application to be started in the cloud mobile phone;
the running process data determining module is used for acquiring the running process data of the target application if the target application is identified to meet the medium information detection condition;
and the releasing effect detection module is used for detecting the releasing effect of the target medium information to be detected in the target application according to the operation process data.
8. The apparatus of claim 7, wherein the operational process data determination module is specifically configured to:
identifying that the target application satisfies a media information detection condition, including at least one of:
identifying that the target application belongs to an application associated with target medium information to be detected;
identifying the target application as an application with medium information detection requirement;
and recognizing that target medium information to be detected is arranged in the target application.
9. The apparatus of claim 7, wherein the operational process data determination module is further specifically configured to:
intercepting a landing page image of target media information in the target application in the running process of the target application; and/or the presence of a gas in the gas,
and acquiring the log data of the target application in the running process of the target application.
10. The apparatus according to claim 7, wherein the delivering effect detecting module is specifically configured to:
determining a detection index of the target media information according to the type of the target media information to be detected in the target application;
acquiring target data of the target medium information related to the detection index from the operation process data;
and determining the delivery effect of the target medium information according to the target data.
11. The apparatus according to claim 7, wherein the delivering effect detecting module is further specifically configured to:
according to a historical detection result, selecting target media information to be detected from optional media information built in the target application;
acquiring target data of the target medium information from the operation process data;
and determining the delivery effect of the target medium information according to the target data.
12. The apparatus of claim 7, wherein the apparatus further comprises:
and the detection result sending module is used for sending the detection result of the target media information to the party of the target application.
13. 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 for detecting a impression of media information according to any one of claims 1 to 6.
14. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute a delivery effect detection method of media information according to any one of claims 1 to 6.
15. A computer program product comprising a computer program which, when executed by a processor, implements a method of detecting a delivery effect of media information according to any one of claims 1-6.
CN202210004187.7A 2022-01-05 2022-01-05 Method, device, equipment and storage medium for detecting medium information releasing effect Pending CN114399333A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210004187.7A CN114399333A (en) 2022-01-05 2022-01-05 Method, device, equipment and storage medium for detecting medium information releasing effect

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210004187.7A CN114399333A (en) 2022-01-05 2022-01-05 Method, device, equipment and storage medium for detecting medium information releasing effect

Publications (1)

Publication Number Publication Date
CN114399333A true CN114399333A (en) 2022-04-26

Family

ID=81228285

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210004187.7A Pending CN114399333A (en) 2022-01-05 2022-01-05 Method, device, equipment and storage medium for detecting medium information releasing effect

Country Status (1)

Country Link
CN (1) CN114399333A (en)

Similar Documents

Publication Publication Date Title
CN113766487B (en) Cloud mobile phone information acquisition method, device, equipment and medium
CN115659039A (en) Information recommendation method, information recommendation device, information display method, information recommendation equipment, information display medium and program product
CN115242731A (en) Message processing method, device, equipment and storage medium
CN114389969A (en) Client test method and device, electronic equipment and storage medium
CN114417780A (en) State synchronization method and device, electronic equipment and storage medium
CN113220367A (en) Applet running method and device, electronic equipment and storage medium
CN112783731A (en) Abnormal equipment detection method, device, equipment and storage medium
CN114327802B (en) Method, apparatus, device and medium for block chain access to data outside chain
CN113596011B (en) Flow identification method and device, computing device and medium
CN114048137A (en) Application testing method and device and electronic equipment
CN114416476A (en) Operation monitoring method, device, equipment and storage medium for cloud mobile phone application
CN115269989A (en) Object recommendation method and device, electronic equipment and storage medium
CN114547252A (en) Text recognition method and device, electronic equipment and medium
CN114399333A (en) Method, device, equipment and storage medium for detecting medium information releasing effect
CN115062304A (en) Risk identification method and device, electronic equipment and readable storage medium
CN114862479A (en) Information pushing method and device, electronic equipment and medium
CN114138358A (en) Application program starting optimization method, device, equipment and storage medium
CN114329164A (en) Method, apparatus, device, medium and product for processing data
CN112906387A (en) Risk content identification method, apparatus, device, medium, and computer program product
CN114461502B (en) Model monitoring method and device
CN113239296B (en) Method, device, equipment and medium for displaying small program
CN113238765B (en) Method, device, equipment and storage medium for distributing small program
CN116302086A (en) Application processing method and device, electronic equipment and readable storage medium
CN113344620A (en) Method, device and storage medium for issuing welfare information
CN114401337A (en) Data sharing method, device and equipment based on cloud mobile phone and storage medium

Legal Events

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