CN113722378A - Method, apparatus, electronic device, and medium for collecting information - Google Patents
Method, apparatus, electronic device, and medium for collecting information Download PDFInfo
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Abstract
The present disclosure provides a method, an apparatus, an electronic device, and a medium for collecting information, and relates to the field of computer technologies, in particular to cloud computing and virtualization technologies. The specific implementation scheme is as follows: acquiring a data acquisition task aiming at a target application; selecting a target number of matched cloud mobile phones from a preset cloud mobile phone pool according to the data acquisition task, wherein the target application is installed on the matched cloud mobile phones; executing a script matched with the data acquisition task on the selected cloud mobile phone to acquire data aiming at the target application; and carrying out statistical processing on the acquired data to generate a processing result. Therefore, the method for acquiring the third-party data by using the cloud mobile phone is provided.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to cloud computing and virtualization technologies, and in particular, to a method, an apparatus, an electronic device, and a medium for acquiring information.
Background
With the application of the mobile internet becoming more and more extensive, the demand of information acquisition technologies for mobile terminals such as mobile phones and tablets is gradually increasing.
In the prior art, if data acquisition and statistics aiming at a target Application (APP) on a mobile terminal are needed, the data acquisition and statistics are often provided by a service party providing related services.
Disclosure of Invention
A method, an apparatus, an electronic device, and a storage medium for collecting information are provided.
According to a first aspect, there is provided a method for collecting information, the method comprising: acquiring a data acquisition task aiming at a target application; according to the data acquisition task, selecting a target number of matched cloud mobile phones from a preset cloud mobile phone pool, wherein the matched cloud mobile phones are provided with target applications; executing a script matched with the data acquisition task on the selected cloud mobile phone to acquire data aiming at the target application; and carrying out statistical processing on the acquired data to generate a processing result.
According to a second aspect, there is provided an apparatus for collecting information, the apparatus comprising: an acquisition unit configured to acquire a data acquisition task for a target application; the cloud mobile phone selecting unit is configured to select a target number of matched cloud mobile phones from a preset cloud mobile phone pool according to a data acquisition task, wherein the matched cloud mobile phones are provided with target applications; the acquisition unit is configured to execute a script matched with the data acquisition task on the selected cloud mobile phone to acquire data aiming at the target application; and the statistical unit is configured to perform statistical processing on the acquired data to generate a processing result.
According to a third aspect, there is provided an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being 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, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for enabling a computer to perform the method as described in any one of the implementations of the first aspect.
According to a fifth aspect, a computer program product is provided, comprising a computer program, wherein the computer program, when executed by a processor, implements the steps of the method as described in any of the implementations of the first aspect.
According to the technology disclosed by the invention, the data acquisition task aiming at the target application is converted into the script which is distributed to the corresponding cloud mobile phone for execution, then the acquired data is subjected to statistical processing, and a processing result is generated. Therefore, the method for collecting the third-party data by using the cloud mobile phone is provided, and inaccuracy of the data caused by benefits or technical equipment and the like of the data provided by a service party providing related services is avoided. And compared with the traditional data acquisition mode of the application entity mobile phone, the method is faster and more flexible, and the cost for acquiring the data is lower.
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 schematic diagram according to a first embodiment of the present disclosure;
FIG. 2 is a schematic diagram according to a second embodiment of the present disclosure;
FIG. 3 is a schematic diagram of an application scenario in which a method for collecting information according to an embodiment of the present disclosure may be implemented;
FIG. 4 is a schematic diagram of an apparatus for gathering information in accordance with an embodiment of the present disclosure;
FIG. 5 is a block diagram of an electronic device for implementing a method for collecting 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 schematic diagram 100 illustrating a first embodiment according to the present disclosure. The method for collecting information comprises the following steps:
and S101, acquiring a data acquisition task aiming at the target application.
In this embodiment, an execution subject for acquiring information (e.g., a cloud server providing support for a cloud handset) may acquire a data acquisition task for a target application in various ways. The target application generally comprises an application installed on a cloud mobile phone. The target application can be any application which is specified in advance and installed on the cloud mobile phone; or may be an application determined according to a preset rule (for example, an application running at a certain time), and is not limited herein.
As an example, the execution subject may obtain the data collection task for the target application from a local or communicatively connected electronic device by means of a wired or wireless connection. The data acquisition task can be flexibly determined according to a specific application scene and the category of the target application. As an example, the data collection task may include a public opinion monitoring-type task. The public opinion monitoring task can be used for indicating the popularity of each topic in the news application.
It should be noted that a cloud handset can be generally understood as a virtualized service based on a cloud computing, arm (advanced RISC machine) processor. Based on the outstanding advantages of cloud computing in large-scale computing, strong storage capacity, virtualized application and the like, a background server (such as a cloud platform) for supporting the running of a cloud mobile phone can provide diversified and omnibearing virtual mobile terminal application and service for a user of an intelligent terminal (such as a mobile phone, a tablet personal computer and the like), and comprehensively support the display, downloading, application and management service of application programs of various mobile terminals.
It should be further noted that the cloud platform may instantiate a plurality of cloud handsets on the cloud end, so as to directly call the instantiated cloud handsets when necessary. Therefore, the cloud mobile phone can be remotely controlled in real time through the client of the cloud mobile phone, and cloud running of the android App is achieved.
And S102, selecting a target number of matched cloud mobile phones from a preset cloud mobile phone pool according to the data acquisition task.
In this embodiment, according to the data collection task acquired in step S101, the execution subject may select a target number of matched cloud handsets from a preset cloud handset pool in various manners. The target application can be installed on the matched cloud mobile phone. As an example, the execution subject may randomly select a target number of cloud handsets installed with the target application from the preset cloud handset pool as the matched cloud handsets. As another example, the executing body may further select, according to the resource usage of the cloud phones in the preset cloud phone pool, a target number of cloud phones with the target application installed therein as the matched cloud phones, so as to improve resource utilization efficiency.
And S103, executing the script matched with the data acquisition task on the selected cloud mobile phone to acquire data aiming at the target application.
In this embodiment, the executing body may execute a script matched with the data collection task on the cloud mobile phone selected in step S102, so as to collect data for the target application. The script matched with the data acquisition task can be flexibly determined according to a specific application scene. As an example, when the data collection task is used to indicate the popularity of collecting each topic in the news application, the script may be used to monitor the interactive operation of the user side on each topic in the news application and count the number of times. Wherein, the above-mentioned interactive operation may include but is not limited to at least one of the following: browsing, commenting, forwarding and collecting. As yet another example, when the data collection task is used to indicate the effectiveness of advertisement placement in a short video-like application, the script can be used to monitor the number of times the placed advertisement is rendered in the short video-like application.
And S104, performing statistical processing on the acquired data to generate a processing result.
In this embodiment, the executing entity may perform statistical processing on the data collected in step S103 in various ways to generate a processing result. As an example, the executing subject may collect the corresponding data collected by the target number of cloud handsets selected in step S102. Then, the execution subject may process the summarized data according to the actual application requirement, for example, draw a trend graph, detect whether there is abnormal data, and the like. Finally, the execution subject may generate a processing result. The processing result may include statistical data. Optionally, the processing result may also include warning information for indicating whether an abnormal result exists.
According to the method provided by the embodiment of the disclosure, the data acquisition task for the target application is converted into the script which is distributed to the corresponding cloud mobile phone for execution, and then the acquired data is subjected to statistical processing, so that the processing result is generated. Therefore, the method for collecting the third-party data by using the cloud mobile phone is provided, and inaccuracy of the data caused by benefits or technical equipment and the like of the data provided by a service party providing related services is avoided.
In some optional implementation manners of this embodiment, the data collection task may be used to indicate a delivery effect of the business object.
In these implementations, the data collection task may be flexibly set according to an actual application scenario. As an example, in the field of advertisement placement, the data collection task described above may be used to instruct acquisition of at least one of: display Rate (expression), Click Through Rate (CTR), Conversion Rate (CVR).
Based on the optional implementation mode, the scheme can be applied to the field of business object putting effect collection, and applicable scenes of the scheme are enriched.
In some optional implementation manners of this embodiment, the data collection task may include area information used for indicating an area where the cloud mobile phone is located. The execution main body can select the cloud mobile phones of which the areas where the machine rooms corresponding to the target number of the machines are located are matched with the area information from a preset cloud mobile phone pool.
In these implementation manners, the preset cloud mobile phone pool may record a correspondence between an identifier (for example, an ID) of the cloud mobile phone and an area where a machine room where a cloud server corresponding to the cloud mobile phone is located. As an example, the user may select the region information (e.g., "a zone", "N zone", etc.) when transmitting the data collection task through the console (console). And then, after the execution main body obtains the data acquisition task, selecting a target number of cloud mobile phone examples virtualized by machine rooms located in the area indicated by the area information from the preset cloud mobile phone pool, so as to select a cloud mobile phone with the area where the target number of corresponding machine rooms are located and matched with the area information.
Based on the optional implementation mode, the scheme can realize flexible selection aiming at different regions, is particularly suitable for data acquisition tasks with stronger regionality, and is quicker and more flexible and lower in data acquisition cost compared with the traditional data acquisition mode of an application entity mobile phone.
In some optional implementation manners of this embodiment, based on that the data collection task is used to indicate an effect of launching a business object, the execution main body may generate business object launching information as data for a target application in response to determining that the launched business object is detected in the target application running on the selected cloud mobile phone.
In these implementations, the execution subject may first determine whether the dropped business object is detected in the target application running on the selected cloud handset in various ways. In response to determining that the delivered business object is detected in the target application running on the selected cloud mobile phone, the execution subject may generate business object delivery information as data for the target application in various ways. For example, the business object placement information may be used to indicate the number of displays of the business object. Thus, the execution body may increase the presentation number by 1 every time it is detected.
As an example, the business object to be delivered may include picture material. The execution main body may compare (e.g., calculate similarity) the image displayed in the target application with the picture material, and when the comparison result is consistent, the execution main body may determine that the released business object is detected in the target application running on the selected cloud mobile phone. As another example, the business object to be launched may include a target web page link. The execution main body may compare the web page link displayed in the target application with the target web page link, and when the comparison result is consistent, the execution main body may determine that the released business object is detected in the target application running on the selected cloud mobile phone.
Based on the optional implementation manner, the method for collecting the third-party data for the data delivered to the business object by using the cloud mobile phone can be provided, and inaccuracy of the data due to benefits or technical equipment and the like of the data provided by a service party providing related business is avoided.
With continued reference to fig. 2, fig. 2 is a schematic diagram 200 according to a second embodiment of the present disclosure. The method for collecting information comprises the following steps:
s201, acquiring a data acquisition task aiming at the target application.
In this embodiment, the data collection task may be used to indicate the delivery effect of the business object.
And S202, selecting a target number of matched cloud mobile phones from a preset cloud mobile phone pool according to the data acquisition task.
And S203, responding to the fact that the released business object is detected in the target application running on the selected cloud mobile phone, and obtaining response operation information of the client corresponding to the cloud mobile phone where the target application is located to the released business object.
In this embodiment, in response to determining that the delivered service object is detected in the target application running on the cloud mobile phone selected in step S202, the execution main body may acquire response operation information of the client corresponding to the cloud mobile phone where the target application is located to the delivered service object in various manners.
In this embodiment, the executing agent may first determine whether the released business object is detected in the target application running on the cloud mobile phone selected in step S202 in various ways. In response to determining that the dropped business object is detected in the target application running on the selected cloud handset. As an example, the business object to be delivered may include picture material. The execution main body may compare (e.g., calculate similarity) the image displayed in the target application with the picture material, and when the comparison result is consistent, the execution main body may determine that the released business object is detected in the target application running on the selected cloud mobile phone. As another example, the business object to be launched may include a target web page link. The execution main body may compare the web page link displayed in the target application with the target web page link, and when the comparison result is consistent, the execution main body may determine that the released business object is detected in the target application running on the selected cloud mobile phone.
Then, in response to determining that the delivered service object is detected in the target application running on the cloud mobile phone selected in step S202, the execution main body may acquire response operation information of the client corresponding to the cloud mobile phone where the target application is located to the delivered service object in various manners. As an example, the response operation information described above may be used to indicate various response operations. Wherein the response operation may include, but is not limited to, at least one of the following: browsing, clicking, commenting, forwarding, collecting and purchasing.
And S204, generating business object launching response information as data aiming at the target application according to the response operation information.
In this embodiment, according to the response operation information acquired in step S203, the execution subject may generate business object launch response information as data for the target application in various ways. As an example, the object placement response information indicates a click through rate, and the execution subject may generate the object placement response information according to the number of times of the indicated click operation. As another example, the object delivery response information may indicate a conversion rate, and the execution body may generate the object delivery response information according to the indicated number of times of the purchase operation.
And S205, performing statistical processing on the acquired data to generate a processing result.
S201, S202, and S205 may respectively correspond to S101, S102, and S104 in the foregoing embodiment and their optional implementations, and the above description on S101, S102, and S104 and their optional implementations also applies to S201, S202, and S205, which is not described herein again.
As can be seen from fig. 2, a process 200 of the method for acquiring information in this embodiment represents a step of, in response to determining that the delivered service object is detected in the target application running on the selected cloud mobile phone, acquiring response operation information of a client corresponding to the cloud mobile phone where the target application is located to the delivered service object, and generating service object delivery response information as data for the target application according to the response operation information. Therefore, the scheme described in the embodiment can enrich the collected data for the target application by using the response operation information acquired from the client, and the application scene of the scheme is improved.
With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of a method for collecting information according to an embodiment of the present disclosure. In the application scenario of fig. 3, a user 301 sends a data collection task 304 for a news-like application "X" to a cloud server 303 through a terminal 302. According to the data collection task 304, the cloud server 303 selects a target number of matched cloud handsets 3051 from a preset cloud handset pool 305. Then, the cloud server 303 executes the script matched with the data collection task on the selected target number of matched cloud handsets 3051 to collect data for the news application "X" described above. Then, the cloud server 303 performs statistical processing on the data collected by the selected target number of matched cloud handsets 3051, and generates a processing result 306. Optionally, the cloud server 303 may also feed back the generated processing result 306 to the terminal 302.
At present, one of the prior arts is that data collection and statistics for target applications on a mobile terminal are provided by a service party providing related services, so that the provided data has a risk of inaccurate data due to benefits or technical equipment and the like. In the method provided by the embodiment of the disclosure, the data acquisition task for the target application is converted into the script which is distributed to the corresponding cloud mobile phone for execution, and then the acquired data is subjected to statistical processing, so that the processing result is generated. Therefore, the method for collecting the third-party data by using the cloud mobile phone is provided, and inaccuracy of the data caused by benefits or technical equipment and the like of the data provided by a service party providing related services is avoided. And compared with the traditional data acquisition mode of the application entity mobile phone, the method is faster and more flexible, and the cost for acquiring the data is lower.
With further reference to fig. 4, as an implementation of the methods shown in the above-mentioned figures, the present disclosure provides an embodiment of an apparatus for collecting information, which corresponds to the method embodiment shown in fig. 1 or fig. 2, and which may be applied in various electronic devices.
As shown in fig. 4, the apparatus 400 for acquiring information provided in this embodiment includes an obtaining unit 401, a selecting unit 402, an acquiring unit 403, and a counting unit 404. The acquiring unit 401 is configured to acquire a data acquisition task for a target application; a selecting unit 402, configured to select a target number of matched cloud mobile phones from a preset cloud mobile phone pool according to a data acquisition task, wherein the matched cloud mobile phones are provided with target applications; an acquisition unit 403 configured to execute a script matching the data acquisition task on the selected cloud handset to acquire data for the target application; the statistical unit 404 is configured to perform statistical processing on the collected data to generate a processing result.
In the present embodiment, in the apparatus 400 for collecting information: the specific processing of the obtaining unit 401, the selecting unit 402, the collecting unit 403 and the counting unit 404 and the technical effects thereof can refer to the related descriptions of steps S101, S102, S103 and S104 in the corresponding embodiment of fig. 1, which are not described herein again.
In some optional implementation manners of this embodiment, the data collection task may be used to indicate a delivery effect of the business object.
In some optional implementation manners of this embodiment, the data acquisition task may include area information used for indicating an area where the cloud mobile phone is located; and the selecting unit 402 may be further configured to: and selecting cloud mobile phones with the areas where the machine rooms corresponding to the target number of the machines are located and matched with the area information from a preset cloud mobile phone pool.
In some optional implementations of this embodiment, the above-mentioned acquisition unit 503 may be further configured to: in response to determining that the dropped business object is detected in the target application running on the selected cloud mobile phone, generating business object dropping information as data for the target application.
In some optional implementations of this embodiment, the above-mentioned acquisition unit 503 may be further configured to: responding to the determined detection of the released business object in the target application running on the selected cloud mobile phone, and acquiring response operation information of a client corresponding to the cloud mobile phone where the target application is located to the released business object; and generating business object launching response information as data aiming at the target application according to the response operation information.
In the device provided by the above embodiment of the present disclosure, the data acquisition task for the target application acquired by the acquisition unit 501 is converted into the script which is allocated to the cloud mobile phone selected by the selection unit 502 for execution, and then the statistics unit 504 performs statistics processing on the data acquired by the acquisition unit 503, so as to generate a processing result. Therefore, the method for collecting the third-party data by using the cloud mobile phone is provided, and inaccuracy of the data caused by benefits or technical equipment and the like of the data provided by a service party providing related services is avoided. And compared with the traditional data acquisition mode of the application entity mobile phone, the method is faster and more flexible, and the cost for acquiring the data is lower.
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.
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. 5 illustrates a schematic block diagram of an example electronic device 500 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. 5, the apparatus 500 comprises a computing unit 501 which may perform various appropriate actions and processes in accordance with a computer program stored in a Read Only Memory (ROM)502 or a computer program loaded from a storage unit 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the device 500 can also be stored. The calculation unit 501, the ROM 502, and the RAM 503 are connected to each other by a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
A number of components in the device 500 are connected to the I/O interface 505, including: an input unit 506 such as a keyboard, a mouse, or the like; an output unit 507 such as various types of displays, speakers, and the like; a storage unit 508, such as a magnetic disk, optical disk, or the like; and a communication unit 509 such as a network card, modem, wireless communication transceiver, etc. The communication unit 509 allows the device 500 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.
The computing unit 501 may be a variety of general-purpose and/or special-purpose processing components having processing and computing capabilities. Some examples of the computing unit 501 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 computing unit 501 performs the various methods and processes described above, such as methods for collecting information. For example, in some embodiments, the method for collecting information may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 508. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 500 via the ROM 502 and/or the communication unit 509. When the computer program is loaded into the RAM 503 and executed by the computing unit 501, one or more steps of the method for gathering information described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to perform the method for collecting 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), 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.
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 or sequentially or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.
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. A method for collecting information, comprising:
acquiring a data acquisition task aiming at a target application;
selecting a target number of matched cloud mobile phones from a preset cloud mobile phone pool according to the data acquisition task, wherein the target application is installed on the matched cloud mobile phones;
executing a script matched with the data acquisition task on the selected cloud mobile phone to acquire data aiming at the target application;
and carrying out statistical processing on the acquired data to generate a processing result.
2. The method of claim 1, wherein the data collection task is used to indicate the impression effect of a business object.
3. The method according to claim 1 or 2, wherein the data acquisition task comprises area information for indicating an area where the cloud mobile phone is located; and
the selecting of the cloud mobile phones matched with the target number of the cloud mobile phones from a preset cloud mobile phone pool according to the data acquisition task comprises the following steps:
and selecting cloud mobile phones of which the areas where the machine rooms corresponding to the target number of machines are located are matched with the area information from a preset cloud mobile phone pool.
4. The method of claim 2 or 3, wherein the executing the script matched with the data collection task on the selected cloud mobile phone to collect the data for the target application comprises:
in response to determining that the delivered business object is detected in the target application running on the selected cloud mobile phone, generating business object delivery information as data for the target application.
5. The method of claim 4, wherein the generating business object placement information as data for the target application in response to determining that the placed business object is detected in the target application running on the selected cloud handset comprises:
responding to the determined detection of the released business object in the target application running on the selected cloud mobile phone, and acquiring response operation information of a client corresponding to the cloud mobile phone where the target application is located to the released business object;
and generating business object launching response information as data aiming at the target application according to the response operation information.
6. An apparatus for collecting information, comprising:
an acquisition unit configured to acquire a data acquisition task for a target application;
the selecting unit is configured to select a target number of matched cloud mobile phones from a preset cloud mobile phone pool according to the data acquisition task, wherein the target application is installed on the matched cloud mobile phones;
the acquisition unit is configured to execute a script matched with the data acquisition task on the selected cloud mobile phone to acquire data aiming at the target application;
and the statistical unit is configured to perform statistical processing on the acquired data to generate a processing result.
7. The apparatus of claim 6, wherein the data collection task is to indicate an impression effect of a business object.
8. The device according to claim 6 or 7, wherein the data acquisition task comprises area information for indicating an area where the cloud mobile phone is located; and
the selecting unit is further configured to:
and selecting cloud mobile phones of which the areas where the machine rooms corresponding to the target number of machines are located are matched with the area information from a preset cloud mobile phone pool.
9. The apparatus of claim 7 or 8, wherein the acquisition unit is further configured to:
in response to determining that the delivered business object is detected in the target application running on the selected cloud mobile phone, generating business object delivery information as data for the target application.
10. The apparatus of claim 9, wherein the acquisition unit is further configured to:
responding to the determined detection of the released business object in the target application running on the selected cloud mobile phone, and acquiring response operation information of a client corresponding to the cloud mobile phone where the target application is located to the released business object;
and generating business object launching response information as data aiming at the target application according to the response operation information.
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, wherein the computer program realizes the steps of the method of any one of claims 1-5 when executed by a processor.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110430441A (en) * | 2019-07-31 | 2019-11-08 | 湖南微算互联信息技术有限公司 | A kind of cloud mobile video acquisition method, system, device and storage medium |
| CN111431761A (en) * | 2020-03-11 | 2020-07-17 | 广州微算互联信息技术有限公司 | Method and device for measuring time delay of cloud mobile phone response rendering stage |
| CN111698287A (en) * | 2020-05-08 | 2020-09-22 | 广州微算互联信息技术有限公司 | Cloud mobile phone active application acquisition method, system and storage medium |
| CN111932246A (en) * | 2020-08-06 | 2020-11-13 | 北京百度网讯科技有限公司 | Method and apparatus for transmitting information |
| KR20210042278A (en) * | 2020-04-30 | 2021-04-19 | 베이징 바이두 넷컴 사이언스 앤 테크놀로지 코., 엘티디. | Method and apparatus for generating information, electronic device, storage medium and program |
| CN112929246A (en) * | 2021-01-29 | 2021-06-08 | 百度在线网络技术（北京）有限公司 | Processing method of operation instruction, storage medium, program product and user terminal |
-
2021
- 2021-08-31 CN CN202111014656.5A patent/CN113722378B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110430441A (en) * | 2019-07-31 | 2019-11-08 | 湖南微算互联信息技术有限公司 | A kind of cloud mobile video acquisition method, system, device and storage medium |
| CN111431761A (en) * | 2020-03-11 | 2020-07-17 | 广州微算互联信息技术有限公司 | Method and device for measuring time delay of cloud mobile phone response rendering stage |
| KR20210042278A (en) * | 2020-04-30 | 2021-04-19 | 베이징 바이두 넷컴 사이언스 앤 테크놀로지 코., 엘티디. | Method and apparatus for generating information, electronic device, storage medium and program |
| CN111698287A (en) * | 2020-05-08 | 2020-09-22 | 广州微算互联信息技术有限公司 | Cloud mobile phone active application acquisition method, system and storage medium |
| CN111932246A (en) * | 2020-08-06 | 2020-11-13 | 北京百度网讯科技有限公司 | Method and apparatus for transmitting information |
| CN112929246A (en) * | 2021-01-29 | 2021-06-08 | 百度在线网络技术（北京）有限公司 | Processing method of operation instruction, storage medium, program product and user terminal |
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|---|---|
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