Information processing method and device for task execution

Abstract

The invention discloses an information processing method and device for task execution, and the method comprises the steps: obtaining a request for creating a task on a specified media platform from a terminal web page, and creating the task based on the media platform specified by the request and activity configuration information generated through visual configuration operation on the web page; based on the information of the specified media platform, calling an account bound with the specified media platform from a database, and providing data corresponding to the account to a terminal web page; after a task configuration request which is sent by a terminal web page and is generated by configuring the account is obtained, calling a task execution account conforming to the task configuration request; the task execution accounts are fed back to the terminal, so that the terminal determines a target execution account from the task execution accounts; and generating a task execution request based on the target execution account, and sending the task execution request to the target execution account through the integrated middleware. And the task execution efficiency and the benefit of the task execution result are improved.

Description

Technical Field

[0001] The present invention relates to the field of information processing technology, and in particular to an information processing method and device for task execution. Background Art

[0002] In the related art, if an enterprise needs to execute a created task through other objects, it is usually done through offline negotiation. This method makes it difficult to match an object that matches the task created by the enterprise, and the effect of executing the task is not ideal. The reason is that on the one hand, there are too many objects, and the time cost required to determine multiple matching objects is too high. It is difficult to match matching objects from a larger range, and some objects that are more consistent with the task are missed; on the other hand, it is usually impossible to manually determine whether each object can match the task, and the difference in manual decision-making is very large, resulting in large differences in task execution effects. Summary of the invention

[0003] The main purpose of the present invention is to provide an information processing method and device for task execution to solve the deficiencies existing in the related art.

[0004] In order to achieve the above-mentioned purpose, according to the first aspect of the present invention, there is provided an information processing method for task execution, comprising: after obtaining a request for creating a task on a specified media platform from a terminal web page, creating a task based on the media platform specified by the request and the activity configuration information generated by a visual configuration operation on the web page; based on the information of the specified media platform, calling the account bound to the specified media platform from a database, and providing the data corresponding to the account to the terminal web page; after obtaining the task configuration request generated by configuring the account and sent by the terminal web page, calling the task execution account that matches the task configuration request; feeding back the task execution account to the terminal so that the terminal can determine the target execution account from the task execution account; generating a task execution request based on the target execution account, and sending the task execution request to the target execution account through the integrated middleware.

[0005] Optionally, before calling the account bound to the specified media platform from the database, the method also includes: creating accounts for different media platforms based on the account creation request sent by the management terminal; extracting information from the content published in each created account, and automatically labeling the account based on the extracted information; and binding the automatically labeled label to its corresponding account.

[0006] Optionally, calling a task execution account that matches the task configuration request includes: parsing the task configuration request to obtain a target field indicated by the request; matching a matching tag that matches the target field from the automatically marked tags, and providing the account bound to the matching tag to the terminal.

[0007] Optionally, before generating a task execution request based on the target execution account, the method also includes: obtaining an order payment request from a terminal, wherein the order payment request is generated based on the quotation information of the execution task bound to the target account; and in response to the order payment request, calling the payment account associated with the login account corresponding to the terminal web page to pay for the order based on the payment account.

[0008] Optionally, automatically labeling the account based on the extracted information includes: labeling the extracted information using a pre-established label tree.

[0009] Optionally, when establishing the label tree, the method includes: for different media platforms, extracting original sample data from multiple accounts in the media platform, wherein the original sample data includes account profile information and article information published in the account; after preprocessing the original sample data and labeling the preprocessed original sample data, obtaining label instances, wherein each label instance label is bound to a label labeling rule; clustering the label instances, wherein each clustered group is labeled with a group label; aggregating the group labels, wherein the aggregated label group is labeled with an aggregation label.

[0010] According to a second aspect of the present invention, there is provided an information processing device for task execution, comprising: a task creation unit, for obtaining a request for creating an activity on a specified media platform from a terminal web page, and then creating a task based on the media platform specified in the request and the activity configuration information generated by a visual configuration operation on the web page; a data calling unit, for calling an account bound to the specified media platform from a database based on the information of the specified media platform, and providing the data corresponding to the account to the terminal web page; an account matching unit, for calling a task execution account that matches the task configuration request after obtaining a task configuration request generated by configuring the account and sent by the terminal web page; feeding back the task execution account to the terminal so that the terminal can determine a target execution account from the task execution account; a request sending unit, for generating a task execution request based on the target execution account, and sending the task execution request to the target execution account through an integrated middleware.

[0011] According to a third aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to execute any one of the methods described in the first aspect.

[0012] According to a fourth aspect of the present invention, there is provided an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor executes the method described in any one implementation of the first aspect.

[0013] According to a fifth aspect of the present invention, there is provided a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method described in any one of the implementation modes of the first aspect is implemented.

[0014] The present embodiment is an information processing method and device for task execution, wherein the method includes obtaining a request for creating a task on a specified media platform from a terminal web page, creating a task based on the media platform specified in the request and the activity configuration information generated by the visual configuration operation on the web page; based on the information of the specified media platform, calling the account bound to the specified media platform from the database, and providing the data corresponding to the account to the terminal web page; after obtaining the task configuration request generated by configuring the account sent by the terminal web page, calling the task execution account that matches the task configuration request; feeding back the task execution account to the terminal so that the terminal can determine the target execution account from the task execution account; generating a task execution request based on the target execution account, and sending the task execution request to the target execution account through the integrated middleware. By integrating multiple media platforms and creating accounts for different media platforms, it is possible to realize one-click request to execute tasks, and quickly link to different accounts to execute tasks, thereby improving the efficiency of task execution. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 is a flow chart of an information processing method for task execution according to an embodiment of the present invention; Figure 2 is a schematic diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0018] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so as to describe the embodiments of the present invention described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0019] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0020] According to an embodiment of the present invention, there is provided an information processing method for task execution, such as Figure 1 As shown, it includes the following steps 101 to 104: Step 101: After obtaining a request for creating a task on a specified media platform from a terminal web page, create a task based on the media platform specified in the request and activity configuration information generated by a visual configuration operation on the web page.

[0021] In this step, a task creation component is presented on the web page. When the component is triggered, a task configuration page can be presented. The user can complete the configuration of the task on the task configuration page. The web page can generate a task creation request based on the task configuration information and send it to the server. The server can create a task based on the information. The task can be a dispatch task, an appointment task, etc.

[0022] Exemplarily, the task configuration information may include the task name, the media platform targeted by the task, such as Weibo, official accounts, etc., the task time, etc. Different tasks can be created based on this information. Different tasks have unique IDs, and after being executed, the execution status of the task is bound to the ID and can be presented on the web page.

[0023] Step 102: Based on the information of the designated media platform, the account bound to the designated media platform is called from the database, and the data corresponding to the account is provided to the terminal network page.

[0024] In this step, after receiving the request, the server calls all account information created and bound to the specified media platform indicated by the request, and different content is published in each account. The data corresponding to the account includes the automatically marked tags associated with the account; the quotation information of the account in each execution mode when executing the task. The tag associated with the account can be matched with the field or field combination obtained by the user for the account configuration in step 103. And an order to be paid can be generated based on the quotation information.

[0025] Step 103: after obtaining the task configuration request generated by configuring the account and sent by the terminal web page, calling the task execution account that matches the task configuration request; feeding back the task execution account to the terminal so that the terminal can determine the target execution account from the task execution account.

[0026] In this step, a configuration area is presented on the web page, and the configuration area includes multiple field components. When any one or more field components are triggered, a task configuration request is generated. The names in these field components are consistent with the automatically marked tags. When the server receives the task configuration request, it can determine the task execution account in the specified media platform that matches these fields based on any field or field combination corresponding to the field component, and feed the account back to the web page for presentation. The user can select one or more of the task execution accounts as the target execution account.

[0027] Through personalized account configuration, users can determine the account that best meets their needs, thereby improving task execution efficiency and the effectiveness of task execution results.

[0028] Step 104: Generate a task execution request based on the target execution account, and send the task execution request to the target execution account through the integration middleware.

[0029] In this step, a task execution request can be generated on the web page based on the target execution account. The server sends the request to the designated media platform through the preset integration middleware, and the designated media platform sends the task to the target execution account.

[0030] As an optional implementation method of this embodiment, before calling the account bound to the specified media platform from the database, the method also includes: creating accounts for different media platforms based on the account creation request sent by the management terminal; extracting information from the content published in each created account, and automatically labeling the account based on the extracted information; and binding the automatically labeled label to its corresponding account.

[0031] In this optional implementation, the platform administrator can create accounts for different media platforms in a configured manner through the terminal; after creating the account, the integrated middleware can be used to send data extraction requests to different media platforms to obtain data under the created account from different media platforms; the data can be labeled and bound to the account. When creating an account, an account creation request can be sent directly to the server, and the server sends an account information acquisition request to different media platforms through the integrated middleware based on the request, thereby obtaining the account information under different media platforms. Since this method involves a huge amount of data, when creating, the administrator can specify specific account content to complete the creation of a specified account. These created accounts can serve as the task to be executed.

[0032] As an optional implementation method of this embodiment, calling a task execution account that matches the task configuration request includes: parsing the task configuration request to obtain the target field indicated by the request; matching a matching tag that matches the target field from the automatically marked tags, and providing the account bound to the matching tag to the terminal.

[0033] In this optional implementation, based on the task configuration request generated by the field component being triggered, when the corresponding field or field combination is parsed, the field or field combination is used as the target field to match the automatically marked label. If the label content is the same, it is a matching label. The account information corresponding to the matching label, such as quotation information, traffic data, etc., is fed back to the web page.

[0034] As an optional implementation method of this embodiment, before generating a task execution request based on the target execution account, the method also includes: obtaining an order payment request from a terminal, wherein the order payment request is generated based on the quotation information of the execution task bound to the target account; and in response to the order payment request, calling the payment account associated with the login account corresponding to the terminal web page to pay for the order based on the payment account.

[0035] In this optional implementation, when the user selects the target execution account on the web page, a payment request is generated based on the quotation information associated with the target execution account. After receiving the payment request, the server deducts the amount from the account corresponding to the account logged in on the current web page to complete the payment.

[0036] As an optional implementation of this embodiment, automatically labeling the account based on the extracted information includes: labeling the extracted information using a pre-established label tree.

[0037] In this optional implementation, the extracted information will be automatically labeled, and the labels are automatically labeled based on a pre-established label tree.

[0038] As an optional implementation of this embodiment, when establishing the label tree, the method includes: for different media platforms, extracting original sample data from multiple accounts in the media platform, wherein the original sample data includes account profile information and article information published in the account; after preprocessing the original sample data and annotating the preprocessed original sample data, obtaining label instances, wherein each instance label is bound to a label annotation rule; clustering the label instances, wherein each clustered group is annotated with a group label; aggregating the group labels, and annotating the aggregated label groups to obtain aggregate labels.

[0039] In this optional implementation, when establishing a tag tree, raw data can be extracted from accounts created for different media platforms, and the raw data can be cleaned and labeled with fact labels to obtain tag instances, which are used as the third-level tags of the tag tree. Each tag instance is defined with a rule, which defines the labeling basis of the instance label, and the instance label can be automatically labeled for subsequent extracted data based on this basis.

[0040] After obtaining the label instances, the label instances can be clustered, and the same or similar labels are clustered into the same group. A group label can be marked for each group label, and these group labels are used as secondary labels.

[0041] Aggregate the group labels and label the aggregated label groups to obtain aggregate labels, which are used as primary labels.

[0042] Exemplarily, the first-level tags include account classification, task execution quotation range, other filters, etc. Other filtered first-level tags may include the following second-level tags such as KBI index, average number of comments, average number of reposts, region, etc. The third-level tags corresponding to each of the above second-level tags may include one or more tag instances, some of which are directly extracted, and the defined rules corresponding to this type of tag can be directly extracted The corresponding keywords; some are based on certain logical rules, such as setting logic on demand, and making corresponding annotations according to the set logic, such as marking A when a certain A logic rule is met, and marking B when a certain B logic rule is met. By establishing the above-mentioned tag tree, it is possible to automatically annotate tags for the extracted data.

[0043] This embodiment integrates multiple media platforms and creates accounts for different media platforms, which can realize one-click request to execute tasks and quickly link to different accounts to execute tasks, thereby improving the efficiency of task execution. By configuring personalized screening conditions, a wide range of matching accounts can be screened out, thereby increasing the scope of task execution and ensuring the effect of task execution.

[0044] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0045] According to an embodiment of the present invention, there is also provided an information processing device for task execution, comprising a task creation unit, for obtaining a request for creating an activity on a specified media platform from a terminal web page, and then creating a task based on the media platform specified in the request and the activity configuration information generated by a visual configuration operation on the web page; a data calling unit, for calling an account bound to the specified media platform from a database based on the information of the specified media platform, and providing the data corresponding to the account to the terminal web page; an account matching unit, for calling a task execution account that matches the task configuration request after obtaining a task configuration request generated by configuring the account and sent by the terminal web page; feeding back the task execution account to the terminal so that the terminal can determine a target execution account from the task execution account; and a request sending unit, for generating a task execution request based on the target execution account, and sending the task execution request to the target execution account through an integrated middleware.

[0046] As an optional implementation method of this embodiment, the device also includes: an account creation unit, which creates accounts for different media platforms based on account creation requests sent by the management terminal; extracts information from the content published in each created account, and automatically tags the account based on the extracted information; and binds the automatically marked tags to their corresponding accounts.

[0047] As an optional implementation method of this embodiment, calling a task execution account that matches the task configuration request includes: parsing the task configuration request to obtain the target field indicated by the request; matching a matching tag that matches the target field from the automatically marked tags, and providing the account bound to the matching tag to the terminal.

[0048] As an optional implementation method of this embodiment, before generating a task execution request based on the target execution account, the method also includes: obtaining an order payment request from a terminal, wherein the order payment request is generated based on the quotation information of the execution task bound to the target account; and in response to the order payment request, calling the payment account associated with the login account corresponding to the terminal web page to pay for the order based on the payment account.

[0049] As an optional implementation of this embodiment, automatically labeling the account based on the extracted information includes: labeling the extracted information using a pre-established label tree.

[0050] As an optional implementation method of this embodiment, when establishing the label tree, it includes: for different media platforms, extracting original sample data from multiple accounts in the media platform, wherein the original sample data includes account profile information and article information published in the account; after preprocessing the original sample data and labeling the preprocessed original sample data, obtaining label instances, wherein each label instance label is bound to a label labeling rule; clustering the label instances, wherein each clustered group is labeled with a group label; aggregating the group labels, wherein the aggregated label group is labeled with an aggregation label.

[0051] According to an embodiment of the present invention, the present invention also provides an electronic device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can implement the method described in any of the above embodiments when executing.

[0052] According to an embodiment of the present invention, the present invention further provides a readable storage medium, which stores computer instructions, and the computer instructions are used to enable a computer to implement the method described in any of the above embodiments when executed.

[0053] According to an embodiment of the present invention, the present invention further provides a computer program product, which can implement the method described in any of the above embodiments when executed by a processor.

[0054] Figure 2A schematic block diagram of an example electronic device 300 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable 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.

[0055] like Figure 2 As shown, the electronic device 300 includes a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 302 or a computer program loaded from a storage unit 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 can also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0056] A number of components in the electronic device 300 are connected to the I / O interface 305, including: an input unit 306, such as a keyboard, a mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a disk, an optical disk, etc.; and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 309 allows the electronic device 300 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0057] The computing unit 301 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 301 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, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 301 performs the various methods and processes described above, such as the object matching method. For example, in some embodiments, the object matching method may be implemented as a computer software program, which is tangibly included in a machine-readable medium, such as a storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 300 via the ROM 302 and / or the communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of the method described above may be performed.

[0058] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0059] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0060] In the context of the present invention, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A 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, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

Claims

1. An information processing method for task execution, characterized in that: include: After obtaining a request for creating a task on a specified media platform from a terminal web page, creating a task based on the media platform specified in the request and the activity configuration information generated by the visual configuration operation on the web page; Based on the information of the designated media platform, the account bound to the designated media platform is called from the database, and the data corresponding to the account is provided to the terminal network page; After obtaining the task configuration request generated by configuring the account and sent by the terminal network page, calling the task execution account that matches the task configuration request; Feeding back the task execution account to the terminal, so that the terminal can determine the target execution account from the task execution account; A task execution request is generated based on the target execution account, and the task execution request is sent to the target execution account through the integration middleware.

2. The information processing method for task execution according to claim 1, characterized in that: Before calling the account bound to the designated media platform from the database, the method further includes: Create accounts for different media platforms based on account creation requests sent by management terminals; Extracting information from content posted in each of the created accounts, and automatically labeling the accounts based on the extracted information; Bind the automatically marked tags to their corresponding accounts.

3. The information processing method for task execution according to claim 2, characterized in that: The task execution account that calls the task configuration request includes: Parsing the task configuration request to obtain a target field indicated by the request; A matching tag that matches the target field is matched from the automatically marked tags, and the account bound to the matching tag is provided to the terminal.

4. The information processing method for task execution according to claim 3, characterized in that: Before generating a task execution request based on the target execution account, the method further includes: Obtaining an order payment request from a terminal, wherein the order payment request is generated based on quotation information of an execution task bound to a target account; In response to the order payment request, the payment account associated with the login account corresponding to the terminal web page is called to pay for the order based on the payment account.

5. The information processing method for task execution according to claim 1, characterized in that: Automatically labeling accounts based on extracted information includes: The extracted information is labeled using a pre-established label tree.

6. The information processing method for task execution according to claim 5, characterized in that: When establishing the tag tree, the method includes: extracting original sample data from multiple accounts in the media platform for different media platforms, wherein the original sample data includes account profile information and information about articles published in the account; After the original sample data is preprocessed and the preprocessed original sample data is labeled, a label instance is obtained, wherein each label instance label is bound to a label labeling rule; Clustering the label instances, wherein each clustered group is labeled with a group label; The group labels are aggregated, wherein the aggregated label group is labeled with an aggregate label.

7. An information processing device for task execution, characterized in that: include: A task creation unit, configured to, after acquiring a request to create an activity on a specified media platform from a terminal web page, create a task based on the media platform specified in the request and the activity configuration information generated by a visual configuration operation on the web page; A data calling unit, configured to call the account bound to the designated media platform from a database based on the information of the designated media platform, and provide data corresponding to the account to a terminal network page; An account matching unit, configured to, after acquiring a task configuration request generated by configuring the account and sent by a terminal network page, call a task execution account that matches the task configuration request; Feeding back the task execution account to the terminal, so that the terminal can determine the target execution account from the task execution account; A request sending unit is used to generate a task execution request based on the target execution account, and send the task execution request to the target execution account through the integration middleware.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method according to any one of claims 1 to 6.

9. An electronic device, characterized in that: include: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor executes the method described in any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the computer program implements the method according to any one of claims 1 to 6.

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