CN111026994A - Task evaluation information pushing method, system, equipment and storage medium - Google Patents

Task evaluation information pushing method, system, equipment and storage medium Download PDF

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CN111026994A
CN111026994A CN201911149530.1A CN201911149530A CN111026994A CN 111026994 A CN111026994 A CN 111026994A CN 201911149530 A CN201911149530 A CN 201911149530A CN 111026994 A CN111026994 A CN 111026994A
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龚春燕
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OneConnect Smart Technology Co Ltd
OneConnect Financial Technology Co Ltd Shanghai
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OneConnect Financial Technology Co Ltd Shanghai
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    • G06Q30/02Marketing; Price estimation or determination; Fundraising
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Abstract

The embodiment of the invention provides a task evaluation information pushing method, which comprises the following steps: acquiring user information provided by a client, extracting a plurality of original tasks from a task pool based on the user information, and sending the plurality of original tasks to the client; acquiring an execution behavior of a user based on an original task, which is provided by a client, determining a target task according to the execution behavior, generating a task event message according to the target task, and storing the task event message into a message queue; monitoring a plurality of task event messages stored in the message queue at a preset frequency, and matching one or more task evaluation labels according to the plurality of task event messages; and generating a task evaluation result according to the one or more task evaluation labels and pushing the task evaluation result to the client. The embodiment of the invention improves the system performance by storing the task event message in the message queue.

Description

Task evaluation information pushing method, system, equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a task evaluation information pushing method, a task evaluation information pushing system, a task evaluation information pushing device and a storage medium.
Background
In the prior art, a plurality of enterprises or platforms are provided with a plurality of tasks, and a user evaluates the completion degree of the tasks and issues rewards after completing the tasks, so that the user is attracted to participate in the activities pushed out by the platforms or the enterprises, thereby pulling the business to increase; in addition, the task evaluation scheme has poor flexibility, namely, a user sends a specified product after completing a specified task, and certain tasks are difficult to complete for certain users, so that the enthusiasm of the user for participating in platform activities is overcome, and the activity participation rate of the user is low; meanwhile, the performance of the system is poor, and when the number of users participating at the same time is too many, the system is blocked, and a large number of tasks fail.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, a system, a computer device, and a computer-readable storage medium for pushing task evaluation information, which are used to solve the problems that a system is blocked and a large number of tasks fail due to too many people who participate in a task at the same time on a task evaluation platform.
The embodiment of the invention solves the technical problems through the following technical scheme:
a task evaluation information pushing method comprises the following steps:
the method comprises the steps of obtaining user information provided by a client, extracting a plurality of original tasks from a task pool based on the user information, and sending the original tasks to the client;
acquiring an execution behavior of a user based on the original task, which is provided by a client, determining a target task according to the execution behavior, generating a task event message according to the target task, and storing the task event message into a message queue;
monitoring a plurality of task event messages stored in the message queue at a preset frequency, and matching one or more task evaluation labels according to the plurality of task event messages;
and extracting the one or more task evaluation labels, generating a task evaluation result and pushing the task evaluation result to the client.
Further, the steps of obtaining user information provided by a client, extracting a plurality of original tasks from a task pool based on the user information, and sending the plurality of original tasks to the client include:
extracting a plurality of first tasks matched with the user information from a task pool;
comparing the number of the first tasks with a preset threshold value, acquiring the original tasks according to a comparison result, and sending the original tasks to a client.
Further, the preset threshold includes a first threshold and a second threshold, wherein the second threshold is greater than the first threshold;
comparing the number of the first tasks with a preset threshold, acquiring the original tasks according to the comparison result, and sending the original tasks to a client, wherein the step comprises the following steps:
when the number of the first tasks does not reach a first threshold value, one or more second tasks are randomly selected from a task pool, and when the sum of the number of the first tasks and the number of the second tasks is not less than the first threshold value, the first tasks and the second tasks are determined to be original tasks, and the original tasks are sent to the client.
Further, when the number of the first tasks exceeds a second threshold, according to the importance degree of the user information, deleting redundant first tasks matched with the user information so that the number of the remaining first tasks is equal to the second threshold, determining the remaining first tasks as original tasks, and sending the original tasks to the client.
Further, before user information provided by a client is acquired, a plurality of original tasks are extracted from a task pool based on the user information and sent to the client, different task events of the task pool are closed or started by receiving an instruction of a background end, and different task events are combined to generate the task pool with different task combinations.
Further, the predetermined frequency is determined by the number of messages in the message queue and the rate of change of the number of messages, and when the number of messages is greater than the upper limit threshold of the number of messages or the rate of increase of the number of messages is greater than the rate of increase threshold of the number of messages, the predetermined frequency is increased; and when the message number is smaller than the upper limit threshold of the message number or the increasing rate of the message number is smaller than the increasing rate threshold of the message number, keeping the preset frequency unchanged.
Further, the task event message is in a JSON format, identification information is configured in an extension field of the JSON-format task event message, the identification information is a task evaluation identifier, and the task evaluation identifier matches one or more task evaluation tags.
In order to achieve the above object, an embodiment of the present invention further provides a task evaluation information pushing system, including:
the task acquisition module is used for acquiring user information provided by a client, extracting a plurality of original tasks from a task pool based on the user information and sending the original tasks to the client;
the task event message storage module is used for acquiring the execution behavior of a user based on the original task, which is provided by a client, determining a target task according to the execution behavior, generating a task event message according to the target task, and storing the task event message into a message queue;
the task evaluation module monitors a plurality of task event messages stored in the message queue at a preset frequency and matches one or more task evaluation labels according to the task event messages;
and the task evaluation result pushing module is used for generating a task evaluation result according to the one or more task evaluation labels and pushing the task evaluation result to the client.
In order to achieve the above object, an embodiment of the present invention further provides a computer device, where the computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the task evaluation information pushing method as described above when executing the computer program.
In order to achieve the above object, an embodiment of the present invention further provides a computer-readable storage medium, in which a computer program is stored, where the computer program is executable by at least one processor, so as to cause the at least one processor to execute the steps of the task evaluation information pushing method described above.
According to the task evaluation information pushing method, the system, the computer equipment and the computer readable storage medium, the user task is customized according to the user information, the personalized task is provided for the user, and the problem of low adaptability of the task and the user is solved; by changing the monitoring frequency of the message queue under a specific condition, the processing speed of the message during the peak period is increased, and the pushing speed of the task evaluation information is increased; by storing the task event message in the message queue, the system performance is improved, the system can smoothly participate in activities under the condition that the number of users participating in the system is large, and the problem of system congestion caused by excessive users is solved.
The invention is described in detail below with reference to the drawings and specific examples, but the invention is not limited thereto.
Drawings
FIG. 1 is a flowchart illustrating steps of a task evaluation information pushing method according to a first embodiment of the present invention;
FIG. 2 is a schematic flowchart of step S100 in FIG. 1;
FIG. 3 is a schematic diagram of a second embodiment of a task evaluation information pushing system according to the present invention;
FIG. 4 is a diagram of a hardware structure of a third embodiment of the computer apparatus according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Technical solutions between various embodiments may be combined with each other, but must be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
Example one
Referring to fig. 1, a flowchart illustrating steps of a task evaluation information pushing method according to an embodiment of the present invention is shown. It is to be understood that the flow charts in the embodiments of the present method are not intended to limit the order in which the steps are performed. The following description is given by taking a computer device as an execution subject, specifically as follows:
step S100, obtaining user information provided by a client, extracting a plurality of original tasks from a task pool based on the user information, and sending the original tasks to the client.
The client comprises various smart phones, tablet computers, personal computers and the like.
Illustratively, the computer device obtains user information of each user from a user database, wherein the user database is used for storing user information of each user, and the user information comprises personal registration information and questionnaire filling information submitted by the user through a client, wherein the personal registration information comprises but is not limited to age, occupation, asset information, income range, risk preference and the like of the user.
In an exemplary embodiment, step S100 may further include:
step S100A, extracting a plurality of first tasks matching the user information from a task pool.
Taking user a as an example: if user A is professional as a salesperson, the computer device classifies user A into the "popular" category and matches "invite other user to register" as one of the first tasks of user A.
As an example above, if the risk preference of user A is of a risk avoidance type, the computer device classifies user A into a category of "safe financing" and matches "buy a robust financing product" as one of the first tasks of user A.
Step S100B, comparing the number of the first tasks with a preset threshold, obtaining the original tasks according to the comparison result, and sending the original tasks to the client.
The preset threshold comprises a first threshold and a second threshold, wherein the second threshold is larger than the first threshold.
In an exemplary embodiment, the S100B may further include,
when the number of the first tasks does not reach a first threshold value, one or more second tasks are randomly selected from a task pool, and when the sum of the number of the first tasks and the number of the second tasks is not less than the first threshold value, the first tasks and the second tasks are determined to be original tasks, and the original tasks are sent to the client.
And when the number of the first tasks exceeds a second threshold, deleting redundant first tasks matched with the user information according to the importance degree of the user information so as to enable the number of the remaining first tasks to be equal to the second threshold, determining the remaining first tasks as original tasks, and sending the original tasks to the client.
Illustratively, when the number of the first tasks exceeds a second threshold, redundant first tasks matching the user information are deleted, sorted according to the degree of importance of occupation > age.
Further, before user information provided by a client is acquired, a plurality of original tasks are extracted from a task pool based on the user information and sent to the client, different task events of the task pool are closed or started by receiving an instruction of a background end, and different task events are combined to generate the task pool with different task combinations.
Exemplarily, configuring a user graphical interface, wherein the user graphical interface comprises task event names of a plurality of task events and virtual on-off keys associated with the task event names; background personnel can input user instructions to close or start different task events based on the user graphical interface to realize the combination of various task events, when the completion condition of a certain task reaches the expectation, the virtual switch key corresponding to the task is closed, so that the task is not in the task pool and further cannot be pushed to the client of the user, for example, a financial management task is purchased, and when the sum of financial management amounts purchased by all users reaches the expected target amount, the virtual switch key for purchasing the financial management task is closed, the user cannot continue to complete the financial management task.
Step S102, obtaining the execution behavior of the user based on the original task, which is provided by the client, determining the target task according to the execution behavior, generating a task event message according to the target task, and storing the task event message in a message queue.
Exemplary user performance activities based on the original task include, but are not limited to, registration, login, check-in, sharing links, inviting other users to register, an account opening (banking card binding) task, a financial purchasing task, a charging task, and the like.
Illustratively, the APP is pre-configured with corresponding virtual buttons and the like.
Further, the step of acquiring, by the computer device, the execution behavior may specifically be as follows:
and monitoring a trigger event of a user on the APP, and determining the execution behavior according to the trigger event.
For example, when the computer device detects a trigger event on a user "check-in" button (e.g., clicking the "check-in" button via a touch screen, mouse, or the like), the user behavior is determined to be "check-in".
In the above example, when the execution behavior is "check-in", it is determined that the user completes a corresponding "check-in task" in the APP.
According to the previous example, a corresponding sign-in task event message is generated according to the sign-in task, the generated task event message is stored in a preset message queue, the message queue is a first-in first-out queue, the task event message is in a JSON format, identification information is matched in an extension field of the JSON format task event message, the identification information is a task evaluation identification, and the task evaluation identification is matched with one or more task evaluation tags.
Step S104, a plurality of task event messages stored in the message queue are monitored at a preset frequency, and one or more task evaluation tags are matched according to the task event messages.
Specifically, the predetermined frequency is determined by the number of messages in the message queue and the rate of change of the number of messages, and when the number of messages is greater than the upper limit threshold of the number of messages or the rate of increase of the number of messages is greater than the rate of increase threshold of the number of messages, the predetermined frequency is increased; and when the message number is smaller than the upper limit threshold of the message number or the increasing rate of the message number is smaller than the increasing rate threshold of the message number, keeping the preset frequency unchanged.
And step S106, generating a task evaluation result according to the one or more task evaluation labels and pushing the task evaluation result to the client.
Specifically, the task evaluation result may be an award such as a coupon or a lottery chance, and a corresponding award is obtained from an award pool according to the task evaluation tag and pushed to a client, that is, the award pool is configured in advance, and the awards in the award pool have a mapping relationship with the task evaluation tag through a task evaluation identifier, where the mapping relationship is not limited to one-to-one, one-to-many, many-to-one, or many-to-many.
Illustratively, the task events include a registration task, a login task, a sign-in task, a share link, an invitation to other users to register, an account opening (binding a bank card) task, a purchase financing task, a charging task, and the like.
By setting the many-to-one mapping relation between the task evaluation identifier and the task evaluation label, the flexibility and the diversity of task evaluation are improved. In an exemplary embodiment, the user needs to complete both the registration and transfer tasks to issue the reward. By setting a many-to-many mapping relationship between the task evaluation identifier and the task evaluation tag, in an exemplary embodiment, an activity one: each time of buying and managing money, a lottery drawing opportunity is sent once, and a lottery drawing page is a conventional nine-square drawing; and (2) moving: buying the designated richness product number 5 for delivery, and delivering 18 yuan coupons every 10000 full; if the user buys 10000 yuan of the bonus number 5 twice, then there are two events, and both events accord with two activities, therefore, the user has two chance of drawing a lottery, two coupons, and the flexibility of the bonus distribution is improved. And by setting a one-to-one mapping relation between the task evaluation identifier and the task evaluation label, if a task requiring a user is completed, issuing a financial coupon once.
According to the embodiment of the invention, the user task is pushed according to the user information, an individualized task is provided for the user, and the problem of low adaptability of the task and the user is solved; the preset monitoring rate of the message queue is changed according to the number of the messages in the message queue and the message change rate, and the message processing speed in the peak period is improved by changing the monitoring frequency of the message queue under a specific condition; by storing the task event message in the message queue, the system performance is improved, the system can smoothly participate in activities under the condition that the number of users participating in the system is large, and the problem that the task evaluation pushing is wrong due to the fact that the system is congested due to too many users is solved.
Example two
Continuing to refer to fig. 3, a schematic diagram of program modules of the task evaluation information pushing system of the present invention is shown. In the embodiment, the task evaluation information pushing system 20 may include or be divided into one or more program modules, and the one or more program modules are stored in a storage medium and executed by one or more processors to implement the present invention and implement the task evaluation information pushing method. The program module referred to in the embodiments of the present invention refers to a series of computer program instruction segments capable of performing specific functions, and is more suitable for describing the execution process of the task evaluation information push system 20 in the storage medium than the program itself. The following description will specifically describe the functions of the program modules of the present embodiment:
the task obtaining module 200 is configured to obtain user information provided by a client, extract a plurality of original tasks from a task pool based on the user information, and send the plurality of original tasks to the client, where the client includes various smart phones, tablet computers, personal computers, and the like.
Further, the task obtaining module 200 is further configured to: and closing or starting different task events of the task pool by receiving an instruction of a background end, and combining the different task events to generate the task pool with different task combinations.
Further, the task obtaining module 200 is further configured to: extracting a plurality of first tasks matched with the user information from a task pool, comparing the number of the first tasks with a preset threshold value, obtaining a plurality of original tasks according to a comparison result, and sending the original tasks to a client.
When the number of the first tasks does not reach a first threshold value, one or more second tasks are randomly selected from a task pool, and when the sum of the number of the first tasks and the number of the second tasks is not less than the first threshold value, the first tasks and the second tasks are determined to be original tasks, and the original tasks are sent to the client.
And when the number of the first tasks exceeds a second threshold, deleting redundant first tasks matched with the user information according to the importance degree of the user information so as to enable the number of the remaining first tasks to be equal to the second threshold, determining the remaining first tasks as original tasks, and sending the original tasks to the client.
And the task event message storage module 202 is configured to obtain an execution behavior of the user provided by the client based on the original task, determine a target task according to the execution behavior, generate a task event message according to the target task, and store the task event message in a message queue.
The task event message is in a JSON format, identification information is configured in an extension field of the JSON format task event message, the identification information is a task evaluation identifier, the task evaluation identifier is matched with one or more task evaluation tags, and the message queue is a first-in first-out queue.
And the task evaluation module 204 is configured to monitor a plurality of task event messages stored in the message queue at a predetermined frequency, and match one or more task evaluation tags according to the plurality of task event messages.
The predetermined frequency is determined by the number of messages in the message queue and the change rate of the number of messages, and when the number of messages is greater than the upper limit threshold of the number of messages or the increase rate of the number of messages is greater than the increase rate threshold of the number of messages, the predetermined frequency is increased; and when the message number is smaller than the upper limit threshold of the message number or the increasing rate of the message number is smaller than the increasing rate threshold of the message number, keeping the preset frequency unchanged.
And the task evaluation result pushing module 206 is configured to generate a task evaluation result according to the one or more task evaluation labels and push the task evaluation result to the client.
EXAMPLE III
Fig. 4 is a schematic diagram of a hardware architecture of a computer device according to embodiment 4 of the present invention. In the present embodiment, the computer device 2 is a device capable of automatically performing numerical calculation and/or information processing in accordance with a preset or stored instruction. The computer device 2 may be a rack server, a blade server, a tower server or a rack server (including an independent server or a server cluster composed of a plurality of servers), and the like. As shown in fig. X, the computer device 2 includes, but is not limited to, at least a memory 21, a processor 22, a network interface 23, and a task evaluation information pushing system 20, which are communicatively connected to each other through a system bus. Wherein:
in this embodiment, the memory 21 includes at least one type of computer-readable storage medium including a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the storage 21 may be an internal storage unit of the computer device 2, such as a hard disk or a memory of the computer device 2. In other embodiments, the memory 21 may also be an external storage device of the computer device 2, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like provided on the computer device 2. Of course, the memory 21 may also comprise both internal and external memory units of the computer device 2. In this embodiment, the memory 21 is generally used for storing an operating system and various application software installed in the computer device 2, for example, the program code of the task evaluation information pushing system 20 in the second embodiment. Further, the memory 21 may also be used to temporarily store various types of data that have been output or are to be output.
Processor 22 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor 22 is typically used to control the overall operation of the computer device 2. In this embodiment, the processor 22 is configured to run the program code stored in the memory 21 or process data, for example, run the task evaluation information pushing system 20, so as to implement the task evaluation information pushing method according to the first embodiment.
The network interface 23 may comprise a wireless network interface or a wired network interface, and the network interface 23 is generally used for establishing communication connection between the computer device 2 and other electronic apparatuses. For example, the network interface 23 is used to connect the computer device 2 to an external terminal through a network, establish a data transmission channel and a communication connection between the computer device 2 and the external terminal, and the like. The network may be a wireless or wired network such as an Intranet (Intranet), the Internet (Internet), a Global System of Mobile communication (GSM), Wideband Code Division Multiple Access (WCDMA), a 4G network, a 5G network, Bluetooth (Bluetooth), Wi-Fi, and the like.
It is noted that fig. 4 only shows the computer device 2 with components 20-23, but it is to be understood that not all shown components are required to be implemented, and that more or less components may be implemented instead.
In this embodiment, the task evaluation information pushing system 20 stored in the memory 21 may be further divided into one or more program modules, and the one or more program modules are stored in the memory 21 and executed by one or more processors (in this embodiment, the processor 22) to complete the present invention.
For example, fig. 3 shows a schematic diagram of program modules of the second embodiment of implementing the task evaluation information pushing system 20, in this embodiment, the base task evaluation information pushing system 20 may be divided into a task obtaining module 200, a task event message storage module 202, a task evaluation module 204, and a task evaluation result pushing module 206. The program module referred to in the present invention refers to a series of computer program instruction segments capable of performing specific functions, and is more suitable than a program for describing the execution process of the task evaluation information pushing system 20 in the computer device 2. The specific functions of the program module task obtaining module 200 and the task evaluation result pushing module 206 have been described in detail in embodiment two, and are not described herein again.
Example four
The present embodiment also provides a computer-readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application mall, etc., on which a computer program is stored, which when executed by a processor implements corresponding functions. The computer-readable storage medium of the embodiment is used for storing the task evaluation information pushing system 20, and when being executed by the processor, the task evaluation information pushing method of the first embodiment is implemented.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A task evaluation information pushing method is applied to computer equipment and is characterized by comprising the following steps:
the method comprises the steps of obtaining user information provided by a client, extracting a plurality of original tasks from a task pool based on the user information, and sending the original tasks to the client;
acquiring an execution behavior of a user based on the original task, which is provided by a client, determining a target task according to the execution behavior, generating a task event message according to the target task, and storing the task event message into a message queue;
monitoring a plurality of task event messages stored in the message queue at a preset frequency, and matching one or more task evaluation labels according to the plurality of task event messages;
and generating a task evaluation result according to the one or more task evaluation labels and pushing the task evaluation result to the client.
2. The method according to claim 1, wherein the step of acquiring user information provided by a client, extracting a plurality of original tasks from a task pool based on the user information, and sending the plurality of original tasks to the client comprises:
extracting a plurality of first tasks matched with the user information from a task pool;
comparing the number of the first tasks with a preset threshold value, acquiring the original tasks according to a comparison result, and sending the original tasks to a client.
3. The task evaluation information pushing method according to claim 2, wherein the preset threshold includes a first threshold and a second threshold, wherein the second threshold is greater than the first threshold;
comparing the number of the first tasks with a preset threshold, acquiring the original tasks according to the comparison result, and sending the original tasks to a client, wherein the step comprises the following steps:
when the number of the first tasks does not reach a first threshold value, one or more second tasks are randomly selected from a task pool, and when the sum of the number of the first tasks and the number of the second tasks is not less than the first threshold value, the first tasks and the second tasks are determined to be original tasks, and the original tasks are sent to the client.
4. The method according to claim 3, wherein when the number of the first tasks exceeds a second threshold, redundant first tasks that match the user information are deleted according to the degree of importance of the user information so that the number of the remaining first tasks is equal to the second threshold, and the remaining first tasks are determined as original tasks and are sent to the client.
5. The method for pushing task evaluation information according to claim 1, further comprising, after obtaining user information provided by a client, extracting a plurality of original tasks from a task pool based on the user information, and before sending the plurality of original tasks to the client, closing or enabling different task events of the task pool by receiving an instruction from a background end, and combining the different task events to generate the task pool with different task combinations.
6. The task evaluation information pushing method according to claim 1, wherein the predetermined frequency is determined by the number of messages in the message queue and a rate of change of the number of messages, and when the number of messages is greater than an upper threshold of the number of messages or a rate of increase of the number of messages is greater than a rate of increase threshold of the number of messages, the predetermined frequency is increased; and when the message number is smaller than the upper limit threshold of the message number or the increasing rate of the message number is smaller than the increasing rate threshold of the message number, keeping the preset frequency unchanged.
7. The method for pushing task evaluation information according to claim 1, wherein the task event message is in a JSON format, identification information is configured in an extension field of the JSON-format task event message, the identification information is a task evaluation identifier, and the task evaluation identifier matches one or more task evaluation tags.
8. A task evaluation information pushing system is characterized by comprising:
the task acquisition module is used for acquiring user information provided by a client, extracting a plurality of original tasks from a task pool based on the user information and sending the original tasks to the client;
the task event message storage module is used for acquiring the execution behavior of a user based on the original task, which is provided by a client, determining a target task according to the execution behavior, generating a task event message according to the target task, and storing the task event message into a message queue;
the task evaluation module monitors a plurality of task event messages stored in the message queue at a preset frequency and matches one or more task evaluation labels according to the task event messages;
and the task evaluation result pushing module is used for generating a task evaluation result according to the one or more task evaluation labels and pushing the task evaluation result to the client.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the computer program when executed by the processor implements the steps of the task evaluation information pushing method according to any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored, the computer program being executable by at least one processor to cause the at least one processor to perform the steps of the task evaluation information pushing method according to any one of claims 1 to 7.
CN201911149530.1A 2019-11-21 2019-11-21 Task evaluation information pushing method, system, equipment and storage medium Pending CN111026994A (en)

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