CN111382178A - Network task allocation method, system, equipment and storage medium - Google Patents

Network task allocation method, system, equipment and storage medium Download PDF

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Publication number
CN111382178A
CN111382178A CN202010162196.XA CN202010162196A CN111382178A CN 111382178 A CN111382178 A CN 111382178A CN 202010162196 A CN202010162196 A CN 202010162196A CN 111382178 A CN111382178 A CN 111382178A
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user
network task
network
task
information
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王运峰
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Ocdop Ltd
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Ocdop Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • G06F16/24553Query execution of query operations
    • G06F16/24561Intermediate data storage techniques for performance improvement
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • G06F16/24552Database cache management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2457Query processing with adaptation to user needs

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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The embodiment of the invention discloses a network task allocation method, a system, equipment and a storage medium. The network task allocation method comprises the following steps: receiving network task information input by a merchant to initiate a network task to be distributed; acquiring a corresponding user list through a cache middleware according to the network task information, wherein the cache middleware stores a plurality of user information with different network task information as identifiers, and the user information in the user list is sorted according to a preset rule; and distributing the network tasks to be distributed to the first users corresponding to the user information with the pre-preset number of ranks in the user list. The embodiment of the invention realizes the improvement of the distribution efficiency of the network tasks.

Description

Network task allocation method, system, equipment and storage medium
Technical Field
Embodiments of the present invention relate to computer technologies, and in particular, to a method, a system, a device, and a storage medium for allocating network tasks.
Background
With the rapid popularization of modern equipment, the internet is distributed in avenues and alleys, and both furniture appliances and subway buses are covered by the internet. People live in an era that people are all networks and need to be networked at any time.
With the development of the internet, merchants also release tasks which are required to be completed on the internet and have large workload, and pay corresponding task fees for the tasks, the system can automatically distribute the tasks to professional teams and individual users to help the professional teams and the individual users to complete the corresponding network tasks, after the tasks are completed, the system transfers the task fees to the corresponding teams and the individual users, and the teams and the individual users can directly bring the task fees into their bank cards.
However, the current network task allocation method is not intelligent enough, the optimization degree is not enough, and when the allocation amount is large, the direct user and merchant query on the database is performed to allocate, which easily causes great processing pressure to the whole system, thereby causing the task allocation efficiency to be low.
Disclosure of Invention
The embodiment of the invention provides a network task allocation method, a system, equipment and a storage medium, which are used for improving the allocation efficiency of network tasks.
To achieve the object, an embodiment of the present invention provides a network task allocation method, where the method includes:
receiving network task information input by a merchant to initiate a network task to be distributed;
acquiring a corresponding user list through a cache middleware according to the network task information, wherein the cache middleware stores a plurality of user information with different network task information as identifiers, and the user information in the user list is sorted according to a preset rule;
and distributing the network tasks to be distributed to the first users corresponding to the user information with the pre-preset number of ranks in the user list.
Further, the receiving network task information input by the merchant to initiate the network task to be distributed includes:
receiving a network task name, a network task type and network task cost input by a merchant;
judging whether the merchant pays the network task cost or not;
and if the merchant pays the network task cost, initiating a corresponding network task to be distributed according to the network task name, the network task type and the network task cost.
Further, the obtaining of the corresponding user list through a cache middleware according to the network task information, where multiple pieces of user information using different network task information as identifiers are stored in the cache middleware, and the sorting of the user information in the user list according to a preset rule includes:
and acquiring a corresponding user list through a cache middleware according to the network task type, wherein the cache middleware stores a plurality of user information with different network task types as identifiers, the user information comprises user scores, and the user information in the user list is sorted according to the user scores.
Further, the allocating the network task to be allocated to the first user corresponding to the user information ranked in the preset number in the user list includes:
deleting the first user in the user list.
Further, the deleting the first user in the user list comprises:
receiving a task completion certificate uploaded by the first user for being checked by a merchant;
adding the first user in the user list.
Further, the adding the first user in the user list comprises:
receiving a verification result of the task completion voucher uploaded by the first user by a merchant;
judging whether the network task to be distributed is completed according to the auditing result;
and if the network task to be distributed is completed, paying the network task cost to the first user.
Further, after receiving the result of the merchant's audit of the task completion voucher uploaded by the first user, the method includes:
and modifying the user points according to the auditing result of the merchant.
In one aspect, an embodiment of the present invention further provides a network task allocation system, where the system includes:
the task receiving module is used for receiving network task information input by a merchant so as to initiate a network task to be distributed;
the user acquisition module is used for acquiring a corresponding user list through a cache middleware according to the network task information, wherein the cache middleware stores a plurality of user information with different network task information as identifiers, and the user information in the user list is sorted according to a preset rule;
and the task allocation module is used for allocating the network tasks to be allocated to the first users corresponding to the user information with the preset number of ranks in the user list.
On the other hand, an embodiment of the present invention further provides a network task allocation device, where the device includes: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement a method as provided by any embodiment of the invention.
In yet another aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method provided in any embodiment of the present invention.
The embodiment of the invention receives the network task information input by a merchant to initiate the network task to be distributed; acquiring a corresponding user list through a cache middleware according to the network task information, wherein the cache middleware stores a plurality of user information with different network task information as identifiers, and the user information in the user list is sorted according to a preset rule; and distributing the network tasks to be distributed to the first users corresponding to the user information with the pre-set number of ranks in the user list, so that the problem of low distribution efficiency caused by insufficient intelligence of distribution of the network tasks is solved, and the effect of improving the distribution efficiency of the network tasks is realized.
Drawings
Fig. 1 is a schematic flowchart of a network task allocation method according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a network task allocation method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a network task allocation system according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a network task allocation device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are for purposes of illustration and not limitation. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. A process may be terminated when its operations are completed, but may have additional steps not included in the figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.
Furthermore, the terms "first," "second," and the like may be used herein to describe various orientations, actions, steps, elements, or the like, but the orientations, actions, steps, or elements are not limited by these terms. These terms are only used to distinguish one direction, action, step or element from another direction, action, step or element. For example, a first module may be termed a second module, and, similarly, a second module may be termed a first module, without departing from the scope of the present application. The first module and the second module are both modules, but they are not the same module. The terms "first", "second", etc. are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the embodiments of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Example one
As shown in fig. 1, a first embodiment of the present invention provides a network task allocation method, where the method includes:
and S110, receiving network task information input by a merchant to initiate a network task to be distributed.
In this embodiment, if the merchant needs to issue a new network task, that is, a network task to be allocated, the merchant management system receives network task information input by the merchant, and then initiates a corresponding network task to be allocated according to the network task information. The task to be allocated may be an article submission task, a photo gathering task, a form brushing task, or any task that can be completed through a network, which is not limited in the embodiment of the present invention.
S120, acquiring a corresponding user list through a cache middleware according to the network task information, wherein the cache middleware stores a plurality of user information with different network task information as identifiers, and the user information in the user list is sorted according to a preset rule.
In this embodiment, after initiating the network task to be allocated, the merchant management system obtains a corresponding user list through the caching middleware according to the network task information input by the merchant, where the caching middleware stores a plurality of pieces of user information using different pieces of network task information as identifiers. Preferably, the cache middleware is a cache middleware Redis (Remote Dictionary service), the cache middleware Redis an open-source journal-type Key-Value database written in an ANSIC language, supporting a network, and based on an internal memory and capable of being persistent, user information in the cache middleware Redis can be imported in advance through the user database, or can be imported through the user database when a merchant initiates a network task to be distributed, an identifier is a Key in the cache middleware Redis, each Key corresponds to a network task type, data stored in each Key is one or more user information of receivable tasks corresponding to the network task type, and the one or more user information of the receivable tasks form a user list. The user information in the user list is sorted according to a preset rule, and preferably, the user information in the user list is sorted in sequence from high to low according to the task completion rate. The query to the user is completed by using the cache middleware Redis, so that the user database is prevented from being directly accessed and queried by the merchant management system, the working pressure of the merchant management system is greatly reduced, and the distribution efficiency of network tasks is improved.
S130, distributing the network tasks to be distributed to first users corresponding to the user information with the preset number in the ranking in the user list.
In this embodiment, after the user list is obtained, the merchant management system may perform task allocation on the network to be allocated, preferably, the user information in the user list is sequentially ordered from high to low according to the task completion rate, and in order to ensure the task completion rate, the merchant management system may allocate the network task to be allocated to the first user corresponding to the user information ranked in the pre-set number in the user list. For example, if 10 persons are needed to complete the network task to be distributed, the merchant management system divides the network task to be distributed into tasks that each person needs to complete, and then correspondingly distributes the tasks to the top 10 ranked user information in the user list, and the users corresponding to the 10 user information form a first user.
The embodiment of the invention receives the network task information input by a merchant to initiate the network task to be distributed; acquiring a corresponding user list through a cache middleware according to the network task information, wherein the cache middleware stores a plurality of user information with different network task information as identifiers, and the user information in the user list is sorted according to a preset rule; and distributing the network tasks to be distributed to the first users corresponding to the user information with the pre-set number of ranks in the user list, so that the problem of low distribution efficiency caused by insufficient intelligence of distribution of the network tasks is solved, and the effect of improving the distribution efficiency of the network tasks is realized.
Example two
As shown in fig. 2, a second embodiment of the present invention provides a network task allocation method, and the second embodiment of the present invention provides a further explanation on the basis of the first embodiment of the present invention, where the method includes:
and S210, receiving the network task name, the network task type and the network task cost input by the merchant.
And S220, judging whether the merchant pays the network task cost.
And S230, if the merchant pays the network task cost, initiating a corresponding network task to be distributed according to the network task name, the network task type and the network task cost.
In this embodiment, if a merchant needs to issue a new network task, that is, a network task to be allocated, the merchant management system receives network task information input by the merchant, where the network task information includes a network task name, a network task type, and network task cost, and further includes network task content and information on the number of people required to complete the network task, after the merchant inputs the information, the merchant management system needs to determine whether the merchant pays the network task cost, and if the merchant does not pay the network task cost, the merchant suspends the order temporarily, stores the information input by the merchant, and waits for the merchant to pay. If the merchant pays the network task cost, the merchant management system initiates a corresponding network task to be distributed according to the network task name, the network task type and the network task cost.
S240, acquiring a corresponding user list through a cache middleware according to the network task type, wherein the cache middleware stores a plurality of user information with different network task types as identifiers, the user information comprises user scores, and the user information in the user list is sorted according to the user scores.
And S250, distributing the network tasks to be distributed to the first users corresponding to the user information with the preset number of ranks in the user list.
The implementation methods of steps S240 to S250 in the second embodiment of the present invention and steps S120 to S130 in the first embodiment of the present invention are different only in that:
the user information comprises user points, and the user information in the user list is sorted according to the user points. The user score can be determined according to the task completion rate of the user, the task completion speed of the user and the task completion number of the user, and the user score is higher when the task completion rate is higher, the task completion speed is higher, and the task completion number is larger.
Preferably, after the corresponding user list is obtained through the cache middleware according to the network task type, the user list needs to be screened once, and users in the user list can set their task acceptance requirements, for example, users requiring network task charges larger than network task charges input by merchants need to be deleted if the network task charges are smaller than or equal to a preset value and the tasks are not accepted.
S260, deleting the first user from the user list.
In this embodiment, since the first user is assigned to receive the network task issued by the merchant, in order to ensure the task completion efficiency, the first user is not allowed to receive multiple network tasks at the same time, and therefore the first user is deleted from the user list.
Further, the merchant management system sends the network task name, the network task type, the network task cost, the network task content and the information of the number of people needed for completing the network task to the user system, and the user executes the task according to the information provided by the user system.
And S270, receiving the task completion voucher uploaded by the first user for being checked and checked by a merchant.
S280, adding the first user in the user list.
In this embodiment, after the first user completes the network task, the first user needs to upload a task completion credential of the network task in the user system for the merchant to review, and optionally, the task completion credential is a screenshot. After the first user uploads the task completion voucher, the user system sends the task completion voucher to the merchant management system, the merchant management system receives the task completion voucher uploaded by the first user and then sends a reminding message to the merchant to remind the merchant of checking and auditing, and the first user is added in the user list again, so that the first user can receive a new task.
And S290, receiving a verification result of the task completion voucher uploaded by the first user by the merchant.
S300, judging whether the network task to be distributed is completed according to the auditing result.
S310, if the network task to be distributed is completed, paying the network task cost to the first user.
And S320, modifying the user points according to the auditing result of the merchant.
In this embodiment, the merchant may check and verify the task completion credential uploaded by the first user in the merchant management system, and if the check fails, it may be determined that the network task to be distributed is not completed, the merchant management system may send a message to the user system to remind the first user to continue to execute the network task, and because the task completion rate of the first user decreases, the merchant management system may also send an MQ message to down-regulate and modify the user score of the first user, and the MQ is a verified message transfer backbone, and therefore, the test data transmission is all-around and multipurpose. If the audit is passed, the network task to be distributed is judged to be completed, the merchant management system pays the network task cost to the first user, and the merchant management system sends MQ messages to carry out up-regulation and modification on the user score of the first user due to the fact that the task completion rate of the first user is increased. Preferably, the merchant management system may further obtain a time when the first user completes the network task to be distributed, and modify the user score of the first user according to the time.
EXAMPLE III
As shown in fig. 3, a network task allocation system 100 is provided in the third embodiment of the present invention, and the network task allocation system 100 provided in the third embodiment of the present invention can execute the network task allocation method provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method. The network task assigning system 100 includes a task receiving module 200, a user acquiring module 300, and a task assigning module 400.
Specifically, the task receiving module 200 is configured to receive network task information input by a merchant to initiate a network task to be allocated; the user obtaining module 300 is configured to obtain a corresponding user list through a cache middleware according to the network task information, where the cache middleware stores multiple pieces of user information using different network task information as identifiers, and the user information in the user list is sorted according to a preset rule; the task allocation module 400 is configured to allocate the network task to be allocated to a first user corresponding to the user information ranked in the user list by a preset number.
In this embodiment, the task receiving module 200 is specifically configured to receive a network task name, a network task type, and a network task cost input by a merchant; judging whether the merchant pays the network task cost or not; and if the merchant pays the network task cost, initiating a corresponding network task to be distributed according to the network task name, the network task type and the network task cost. The user obtaining module 300 is specifically configured to obtain a corresponding user list through a cache middleware according to the network task type, where the cache middleware stores a plurality of pieces of user information using different network task types as identifiers, the user information includes user scores, and the user information in the user list is sorted according to the user scores.
Further, the network task assigning system 100 further includes a user deleting module 500, a merchant auditing module 600, a fee payment module 700, and a credit modification module 800.
Specifically, the user deleting module 500 is configured to delete the first user from the user list. The merchant auditing module 600 is configured to receive the task completion credential uploaded by the first user for the merchant to audit; adding the first user in the user list. The fee payment module 700 is configured to receive a result of checking the task completion credential uploaded by the first user by the merchant; judging whether the network task to be distributed is completed according to the auditing result; the point modification module 800 is configured to modify the user points according to the audit result of the merchant.
Example four
Fig. 4 is a schematic structural diagram of a network task allocation computer device 12 according to a fourth embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention. The computer device 12 shown in FIG. 4 is only one example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 4, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
Computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with computer device 12, and/or with any devices (e.g., network card, modem, etc.) that enable computer device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, computer device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with the other modules of computer device 12 via bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, implementing the methods provided by the embodiments of the present invention:
receiving network task information input by a merchant to initiate a network task to be distributed;
acquiring a corresponding user list through a cache middleware according to the network task information, wherein the cache middleware stores a plurality of user information with different network task information as identifiers, and the user information in the user list is sorted according to a preset rule;
and distributing the network tasks to be distributed to the first users corresponding to the user information with the pre-preset number of ranks in the user list.
EXAMPLE five
The fifth embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the methods provided in all the embodiments of the present invention of the present application:
receiving network task information input by a merchant to initiate a network task to be distributed;
acquiring a corresponding user list through a cache middleware according to the network task information, wherein the cache middleware stores a plurality of user information with different network task information as identifiers, and the user information in the user list is sorted according to a preset rule;
and distributing the network tasks to be distributed to the first users corresponding to the user information with the pre-preset number of ranks in the user list.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having 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. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A network task allocation method is characterized by comprising the following steps:
receiving network task information input by a merchant to initiate a network task to be distributed;
acquiring a corresponding user list through a cache middleware according to the network task information, wherein the cache middleware stores a plurality of user information with different network task information as identifiers, and the user information in the user list is sorted according to a preset rule;
and distributing the network tasks to be distributed to the first users corresponding to the user information with the pre-preset number of ranks in the user list.
2. The method of claim 1, wherein receiving merchant-entered network mission information to initiate a to-be-assigned network mission comprises:
receiving a network task name, a network task type and network task cost input by a merchant;
judging whether the merchant pays the network task cost or not;
and if the merchant pays the network task cost, initiating a corresponding network task to be distributed according to the network task name, the network task type and the network task cost.
3. The method according to claim 2, wherein the obtaining of the corresponding user list through a caching middleware according to the network task information, the caching middleware stores therein a plurality of user information using different network task information as identifiers, and the sorting of the user information in the user list according to a preset rule includes:
and acquiring a corresponding user list through a cache middleware according to the network task type, wherein the cache middleware stores a plurality of user information with different network task types as identifiers, the user information comprises user scores, and the user information in the user list is sorted according to the user scores.
4. The method according to claim 3, wherein the allocating the to-be-allocated network task to the first user corresponding to the user information ranked in the top preset number in the user list comprises:
deleting the first user in the user list.
5. The method of claim 4, wherein the deleting the first user from the user list comprises:
receiving a task completion certificate uploaded by the first user for being checked by a merchant;
adding the first user in the user list.
6. The method of claim 5, wherein the adding the first user in the user list comprises:
receiving a verification result of the task completion voucher uploaded by the first user by a merchant;
judging whether the network task to be distributed is completed according to the auditing result;
and if the network task to be distributed is completed, paying the network task cost to the first user.
7. The method of claim 6, wherein receiving results of a merchant review of the task completion credentials uploaded by the first user comprises:
and modifying the user points according to the auditing result of the merchant.
8. A network task allocation system, comprising:
the task receiving module is used for receiving network task information input by a merchant so as to initiate a network task to be distributed;
the user acquisition module is used for acquiring a corresponding user list through a cache middleware according to the network task information, wherein the cache middleware stores a plurality of user information with different network task information as identifiers, and the user information in the user list is sorted according to a preset rule;
and the task allocation module is used for allocating the network tasks to be allocated to the first users corresponding to the user information with the preset number of ranks in the user list.
9. A network task assignment device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
CN202010162196.XA 2020-03-10 2020-03-10 Network task allocation method, system, equipment and storage medium Pending CN111382178A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112637043A (en) * 2020-11-17 2021-04-09 广州市玄武无线科技股份有限公司 Message filtering method, system, terminal and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106815354A (en) * 2017-01-22 2017-06-09 上海易贷网金融信息服务有限公司 A kind of database data buffered method
CN108287764A (en) * 2018-01-31 2018-07-17 上海携程商务有限公司 Distributed task dispatching method and its system, storage medium, electronic equipment
CN109784646A (en) * 2018-12-14 2019-05-21 深圳壹账通智能科技有限公司 Method for allocating tasks, device, storage medium and server

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106815354A (en) * 2017-01-22 2017-06-09 上海易贷网金融信息服务有限公司 A kind of database data buffered method
CN108287764A (en) * 2018-01-31 2018-07-17 上海携程商务有限公司 Distributed task dispatching method and its system, storage medium, electronic equipment
CN109784646A (en) * 2018-12-14 2019-05-21 深圳壹账通智能科技有限公司 Method for allocating tasks, device, storage medium and server

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112637043A (en) * 2020-11-17 2021-04-09 广州市玄武无线科技股份有限公司 Message filtering method, system, terminal and storage medium

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