CN113095634A - Task processing method, device and equipment - Google Patents
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Abstract
The embodiment of the specification provides a task processing method, a task processing device and task processing equipment. The method comprises the following steps: acquiring user information of a task processing user; determining a target task corresponding to the task processing user according to the user information; the target task comprises a specified number of target orders; the target task also corresponds to the quantity of task resources; sending the target task to a user client corresponding to the task processing user so that the task processing user can obtain the target task; and under the condition that the specified number of target orders are processed, increasing the user resource number of the task processing user based on the task resource number for task processing. By the method, the task processing user can complete the corresponding number of orders based on the whole planning, the order completing activity of the task processing user is improved, the experience of both the order initiator and the task processing user is ensured, and the effective processing of the orders is ensured.
Description
Technical Field
The embodiment of the specification relates to the technical field of artificial intelligence, in particular to a task processing method, a task processing device and task processing equipment.
Background
With the development of internet technology, the internet car booking service has been extended to most cities. Based on the network car booking service, users with travel demands can issue travel orders on the network at any time and any place. The online taxi appointment driver can check and acquire the travel order, and then send the passenger to the destination based on the order information, so that the waiting time of the user is reduced and the travel experience of the user is improved compared with the traditional taxi taking service.
However, at present, when the network car booking service is provided, a network car booking driver is still generally in a random order receiving state. Due to the fact that the passenger calling requirements are different in different areas and different time periods, a situation that a plurality of drivers in some areas wait for less users and the passengers in some areas cannot call the drivers may occur, and therefore orders cannot be processed effectively. Therefore, the travel experience of the user is influenced, and the order acquisition condition of the driver is also influenced under the condition that the driver does not know the specific order information which can be acquired, so that the overall processing condition of the order is influenced, and the interference is caused to the travel service of the user. Therefore, a method for distributing tasks to effectively process orders corresponding to the tasks is needed.
Disclosure of Invention
An object of the embodiments of the present specification is to provide a task processing method, device and apparatus, so as to solve a problem how to allocate a task so as to effectively process an order corresponding to the task.
In order to solve the above technical problem, an embodiment of the present specification provides a task processing method, including: acquiring user information of a task processing user; the user information is used for describing the task completion condition of the task processing user processing task; determining a target task corresponding to the task processing user according to the user information; the target task comprises a specified number of target orders; the target task also corresponds to the quantity of task resources; sending the target task to a user client corresponding to the task processing user so that the task processing user can obtain the target task; and increasing the user resource quantity of the task processing user based on the task resource quantity under the condition that the specified quantity of target orders are processed.
An embodiment of this specification further provides a task processing device, including: the user information acquisition module is used for acquiring the user information of the task processing user; the user information is used for describing the task completion condition of the task processing user processing task; the target task determining module is used for determining a target task corresponding to the task processing user according to the user information; the target task comprises a specified number of target orders; the target task also corresponds to the quantity of task resources; the target task sending module is used for sending the target task to a user client corresponding to the task processing user so that the task processing user can obtain the target task; and the resource quantity increasing module is used for increasing the user resource quantity of the task processing user based on the task resource quantity under the condition that the specified quantity of target orders are processed.
The embodiment of the present specification further provides a task processing device, including a memory and a processor; the memory to store computer program instructions; the processor to execute the computer program instructions to implement the steps of: acquiring user information of a task processing user; the user information is used for describing the task completion condition of the task processing user processing task; determining a target task corresponding to the task processing user according to the user information; the target task comprises a specified number of target orders; the target task also corresponds to the quantity of task resources; sending the target task to a user client corresponding to the task processing user so that the task processing user can obtain the target task; and increasing the user resource quantity of the task processing user based on the task resource quantity under the condition that the specified quantity of target orders are processed.
As can be seen from the technical solutions provided by the embodiments of the present specification, after obtaining user information of a task processing user, the embodiments of the present specification determine a target task allocated to the user based on an order completion condition shown by the user information, and after the user completes a specified number of target orders specified in the target task, determine a task resource quantity corresponding to the target task, so that after the task processing user completes the specified number of target orders, the user resource quantity of the task processing user is increased based on the task resource quantity. By the method, the order number distributed to the user is acquired based on the user information, and then the order condition required to be completed by the user can be determined in advance, so that the user can complete the corresponding number of orders based on the whole planning. Meanwhile, the resource quantity of the user is increased after the user finishes processing the order, the enthusiasm of the task processing user for completing the order is improved, the experiences of both the order initiator and the task processing user for processing the order are ensured, and the effective processing of the order is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the specification, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a task processing method according to an embodiment of the present disclosure;
FIG. 2 is a block diagram of a task processing device according to an embodiment of the present disclosure;
fig. 3 is a block diagram of a task processing device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present specification without any creative effort shall fall within the protection scope of the present specification.
In order to solve the above technical problem, a task processing method according to an embodiment of the present disclosure is first introduced. The execution main body of the task processing method can be task processing equipment, and the task processing equipment comprises but is not limited to a server, an industrial personal computer, a PC (personal computer) and the like. As shown in fig. 1, the task processing method may include the following implementation steps.
S110: acquiring user information of a task processing user; the user information is used for describing the task completion condition of the task processing user processing task.
The task processing user may be a user with the capability of processing an order, and needs to allocate a corresponding task to the task processing user, so that the task processing user completes the order included in the task.
The task processing user may correspond to user information. The user information may be used to describe an order completion condition of the task processing user, so that an order allocated to the task processing user is determined according to the user information. Therefore, preferably, the task processing user may have a history of processing orders, and the specific situation of the task processing user for processing the orders is analyzed based on the history, so as to provide the corresponding orders for the task processing user.
In some embodiments, the task processing user may be a net car booking driver, and the order allocated to the net car booking driver may be a travel order issued by a user with travel demand. Correspondingly, the corresponding travel orders can be distributed to the network car booking drivers based on the historical information of the orders completed by the network car booking drivers, so that the use experience of the drivers and the passengers is optimized.
In some embodiments, to enable determination of an order assigned to a task processing user based on user information, the user information may include at least one of order acquisition information, order processing information, environmental information, geographic location information, and climate information.
The order acquisition information can be used for describing the condition that the task processing user corresponds to receiving orders, such as the receiving interval duration between adjacent orders, the daily order receiving quantity, the type of received orders and the like. According to the order receiving information, the number of orders which can be processed by the task processing user can be roughly determined, so that the target orders of the user can be effectively processed for the task.
The order processing information may represent the order completion condition of the task processing user, such as the order completion time length, the order driving distance, the user evaluation and the like. According to the order processing information, the detailed condition of the task processing user for completing the order can be determined, so that the quantity of the target order of the task processing user and the type of the distributed order can be determined according to the order condition of the user.
The environment information may be used to indicate a specific environment when the order is processed, and may include different environments such as an downtown environment or a scenic spot environment, where a greater travel demand may exist, but the traffic condition is poor and there may be a certain interference with the order completion condition. Therefore, the specific situation of the order under different environments can be combined to distribute the service for the user under the corresponding environment.
The geographic location information may indicate a city or a specific area in which the task processing user is located when processing the order. Because the order quantity of different areas is different, for example, a large city has more taxi taking requirements compared with a small county city, and a city center has more taxi taking requirements compared with a suburb, the order quantity which can be received in a general situation of the corresponding area can be determined according to the geographic position information of the task processing user, and then the corresponding business is distributed to the task processing user.
The climate information may indicate weather conditions when the order is processed, such as sunny, rainy, snowy, foggy, etc. Due to the fact that weather has certain influence on the order issuing and order processing conditions, for example, in foggy weather or snowy weather, the driving speed of an automobile can be disturbed to a certain degree, orders cannot be processed quickly, and in heavy rain weather, the requirements of passengers on taxi calling are increased. Therefore, by collecting the climate information in the order processing process, the corresponding model is trained based on the climate information, so that the climate information in a period of time later can be determined as the specific situation of the task processing user target order.
S120: determining a target task corresponding to the task processing user according to the user information; the target task comprises a specified number of target orders; the target task also corresponds to the number of task resources.
After the user information is acquired, a target task corresponding to the task processing user may be determined according to the user information. The target task is a task assigned to the task processing user. The target task may include a specified number of target orders. The specified number of the target orders can be determined based on the user information of the task processing user, and the order number which can be completed by the task processing user can be estimated and obtained by combining the current environment information of the task processing user as the user information contains the order completion condition of the task processing user, so that the corresponding target task is distributed to the task processing user.
The target task may also correspond to the number of task resources. The number of task resources is used for describing the number of task resources. The task resource can be a currency resource, for example, and the currency resource is directly given to the task processing user after the task processing user completes the business; the task resource may also be a virtual resource, such as a public praise value of a task processing user, for improving the probability of the passenger selecting the task processing user, or an evaluation value of the task processing user, for allocating a better order to the task processing user in a subsequent process. In practical application, the task resource is not limited to the above embodiment, and the task resource may be sent to the task processing user as a reward for the task processing user to complete the service, so as to improve the enthusiasm of the task processing user to complete the service.
Accordingly, the task resource may be a metered resource. After the task processing user finishes processing the target task, the number of task resources corresponding to the target task can be determined, and the task resources with the number of task resources are sent to the task processing user.
In some embodiments, the target task may be determined by constructing a user representation corresponding to a task processing user based on user information after the user information is acquired, inputting the user representation into a service determination model, predicting an order completion amount of the task processing user within a specified time period by the service determination model, and determining a target task corresponding to the task processing user according to the order completion amount.
The user portrait is used for dividing the user group, and the user type corresponding to the task processing user is determined by adding a label to the task processing user. Because the data contained in the user information is too specific and cumbersome, more time and resources may be consumed to directly determine the target task according to the user information, and the accuracy may even be reduced in some cases. Thus, the efficiency of execution of the steps may be improved by way of building a user representation. The specific execution process may be set according to the requirements of the actual application, and is not described herein again.
The business determination model may be used to determine a relationship between user information and user order completion. The service determination model may be a model obtained by training with sample data after a model is pre-constructed based on a neural network algorithm. The sample data can contain order data of a reference user and information such as environment, geographical position and climate when the corresponding order is processed, so that the trained model can determine the number of orders which can be completed by the task processing user based on the historical order completion condition of the user and the current environmental factors.
Since the timeliness of the order completion condition in the actual application is strong, the predicted order completion amount can represent the order completion amount within a specified time period. The specified time period is not limited and may be, for example, 3 days, 5 days, half a month, or a month. Correspondingly, if the predicted order completion amount is the order completion amount corresponding to the specified time period, when the target task is allocated to the user, the task completion time limit of the target task may also be set to the specified time period, so as to ensure the accuracy of the prediction result.
After the predicted order completion amount is obtained, a target task may be determined based on the order completion amount, for example, a specified number of target orders in the target task may be directly set as the order completion amount; or a part of the order completion quantity can be adjusted up to be used as a specified quantity so as to properly improve the order completion quantity of the task processing user; in the case where the current order issuance amount is small, the order completion amount may be adjusted downward as appropriate as the specified amount. In practical applications, the specified number of the target orders in the target task may be set according to requirements, and is not limited to the above example.
In some embodiments, the type of order in the target task may also be limited. For example, when the target order is a travel order, the order type in the target task may be limited to be a windward order, that is, the windward order may be set only in the target task, or the task resource may be sent to the task processing user only after the user completes a specified number of windward orders. In practical applications, the type of the target order may be set according to requirements, and is not limited to the above example, and will not be described herein again. By setting the order types in the target task, the corresponding adjustment can be performed according to the demand of the passengers for the orders of different types, so that the demands of the users are met, and the use experience of the users is improved.
When determining the target task, task resources in the target task can also be set. In some embodiments, the task resources may correspond to a number of target orders in the target task, and the number of task resources may be greater as the number of target orders is greater. Of course, the number of task resources may also be fixed. In other embodiments, corresponding task resources may also be set according to user information of the task processing user, for example, the number of task resources may be increased for a user with a decreased order completion amount. In practical applications, the number of the task resources may be set according to requirements, and is not limited to the above examples, and is not described herein again.
In some embodiments, a plurality of task resources may also be set in the target task. These task resources may correspond to different order completion quantities, respectively. After the task processing user completes a certain number of orders, the corresponding task resources can be sent to the task processing user according to the number of completed orders. For example, a target task includes task resource a and task resource B, and the number of completed orders is 10 and 20, respectively. After the task processing user completes 10 orders, the task resource A is sent to the task processing user; and after the task processing user finishes 20 orders, the task resource B is sent to the task processing user. In practical applications, the task resources may also be sent in other manners, and are not limited to the above examples, and are not described herein again.
S130: and sending the target task to a user client corresponding to the task processing user so that the task processing user can know the target task.
After determining a target task, the target task may be assigned to the task processing user to cause the task processing user to complete the target task. Specifically, the target task may be sent to a user client corresponding to the task processing user, so that the task processing user knows the target task. The user client can be different devices such as a PC (personal computer), a mobile terminal, a wearable device and the like. The task processing user can check the specific situation of the target task, so that the service planning and the service processing can be completed.
The specific way in which the task processing user is made aware of the target task may be determined based on the output device of the user client. For example, when the user client includes a display, the target task may be displayed on the display to be presented to a task processing user; when the user client side comprises a loudspeaker, the target task can be informed to the user in a voice broadcast mode. In practical application, the target task may also be notified to the user in other ways according to the setting of the user client, which is not limited to the above example and is not described herein again.
The user client can also be used for acquiring the task processing progress of the task processing user and feeding the acquired task processing progress back to the task processing equipment, so that the registration processing of the task processing progress of the task processing user is realized.
Correspondingly, under the condition that the target task corresponds to the task completion time limit, after the target task is allocated to the task processing user, timing can be started according to the task completion time limit to determine whether the task processing user can complete the target task within the time limit, so as to determine whether to send the task resource to the task processing user.
S140: and under the condition that the task processing user completes the specified number of target orders, increasing the user resource number of the task processing user based on the task resource number.
After the task processing user receives the target task and completes the target orders with the specified quantity indicated in the target task, the user resource quantity of the task processing user can be increased based on the task resource quantity, so that the task processing user is ensured to complete the corresponding orders, and the order completion experience of the task processing user is improved.
Specifically, the user resource amount may be a resource amount owned by the task processing user. For example, in the case where the task processing user holds a corresponding account, the user resource amount may be the user resource amount registered in the account. After the task processing user completes the target order with the specified quantity, the quantity of the task resources can be increased on the basis of the original quantity of the user resources to serve as the increased quantity of the user resources, so that the reward for the task processing user is realized.
In some embodiments, when the task processing user is a car booking driver and the completed order is a travel order, and when the task processing user completes a target order in a target task, travel distances corresponding to the travel orders may be obtained, and long-distance orders with travel distances not less than a preset distance threshold value are screened from the travel distances. Correspondingly, after the long-distance orders are obtained, whether the number of the long-distance orders is not less than the specified number is judged, and the number of the user resources of the task processing user is increased based on the number of the task resources under the condition that the number of the long-distance orders is not less than the specified number.
The order is screened by utilizing the distance corresponding to the order, so that when the reward is provided for the network car booking driver, the network car booking driver is prevented from only accepting short-distance orders for obtaining task resources to the maximum extent, the completion quality of the order is guaranteed, and the use experience of a user is improved.
In some embodiments, when the target task corresponds to a task completion time limit, the time for the task processing user to process the target task needs to be counted while determining the order completion condition of the user. When the task processing user completes the orders with the specified quantity and the completion time does not exceed the task completion time limit, the task resources can be sent to the task processing user; and if the time for processing the target task exceeds the task completion time limit when the task processing user completes the specified number of orders, judging that the task processing user does not process the target task on time, and possibly not sending the task resource to the task processing user.
In some embodiments, in a case that the order type of the target order in the target task is limited, it may be further determined whether the number of the orders of the specific type completed by the task processing user reaches a specified number, and in a case that the number of the completed orders of the specific type reaches the specified number, the number of the user resources of the task processing user is increased based on the number of the task resources.
In some embodiments, the task resources may also be resources used in processing the target task. For example, after a task processing user completes a specified number of target orders, the task resources may be sent to the user. The task resource can be in the form of an electronic reward coupon, and the reward in the electronic reward coupon can be extracted after the task processing user continues to complete the corresponding order. By setting the task resources to be in the form, the processing quantity of the orders can be further ensured, and the use experience of the passengers is also ensured while the user is rewarded.
Through the introduction of the embodiment, it can be seen that, after the user information of the task processing user is acquired, the target task allocated to the user is determined based on the order completion condition shown by the user information, and after the user completes the specified number of target orders in the target task, the task resource number corresponding to the target task is determined, so that after the task processing user completes the specified number of target orders, the user resource number of the task processing user is increased based on the task resource number. By the method, the order number distributed to the user is acquired based on the user information, and then the order condition required to be completed by the user can be determined in advance, so that the user can complete the corresponding number of orders based on the whole planning. Meanwhile, the resource quantity of the user is increased after the user finishes processing the order, the enthusiasm of the task processing user for completing the order is improved, the experiences of both the order initiator and the task processing user for processing the order are ensured, and the effective processing of the order is ensured.
Based on the task processing method, the embodiment of the present specification further provides a task processing device. The task processing device may be provided to the task processing apparatus. As shown in fig. 2, the task processing device may include the following specific modules.
A user information obtaining module 210, configured to obtain user information of a task processing user; the user information is used for describing the task completion condition of the task processing user processing task.
A target task determination module 220, configured to determine a target task corresponding to the task processing user according to the user information; the target task comprises a specified number of target orders; the target task also corresponds to the number of task resources.
A target task sending module 230, configured to send the target task to a user client corresponding to the task processing user, so that the task processing user knows the target task.
A resource quantity increasing module 240, configured to increase, based on the task resource quantity, a user resource quantity of the task processing user in a case that the specified quantity of the target orders is processed.
Based on the task processing method, the embodiment of the present specification further provides a task processing device. As shown in fig. 3, the task processing device may include a memory and a processor.
In this embodiment, the memory may be implemented in any suitable manner. For example, the memory may be a read-only memory, a mechanical hard disk, a solid state disk, a U disk, or the like. The memory may be used to store computer program instructions.
In this embodiment, the processor may be implemented in any suitable manner. For example, the processor may take the form of, for example, a microprocessor or processor and a computer-readable medium that stores computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, an embedded microcontroller, and so forth.
The processor may execute the computer program instructions to perform the steps of: acquiring user information of a task processing user; the user information is used for describing the task completion condition of the task processing user processing task; determining a target task corresponding to the task processing user according to the user information; the target task comprises a specified number of target orders; the target task also corresponds to the quantity of task resources; sending the target task to a user client corresponding to the task processing user so that the task processing user can obtain the target task; and increasing the user resource quantity of the task processing user based on the task resource quantity under the condition that the specified quantity of target orders are processed.
While the process flows described above include operations that occur in a particular order, it should be appreciated that the processes may include more or less operations that are performed sequentially or in parallel (e.g., using parallel processors or a multi-threaded environment).
While the process flows described above include operations that occur in a particular order, it should be appreciated that the processes may include more or less operations that are performed sequentially or in parallel (e.g., using parallel processors or a multi-threaded environment).
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The embodiments of this specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The described embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A task processing method, comprising:
acquiring user information of a task processing user; the user information is used for describing the task completion condition of the task processing user processing task;
determining a target task corresponding to the task processing user according to the user information; the target task comprises a specified number of target orders; the target task also corresponds to the quantity of task resources;
sending the target task to a user client corresponding to the task processing user so that the task processing user can obtain the target task;
and increasing the user resource quantity of the task processing user based on the task resource quantity under the condition that the specified quantity of target orders are processed.
2. The method of claim 1, wherein the user information comprises at least one of order acquisition information, order processing information, environmental information, geographic location information, and climate information.
3. The method of claim 1, wherein the target order comprises a travel order for transporting the passenger.
4. The method of claim 3, wherein prior to sending the target task to a user client corresponding to the task processing user, further comprising:
acquiring a travel order processed by a task processing user;
screening long-distance orders of which the driving distance is not less than a preset distance threshold value from the processed travel orders;
correspondingly, in the case that the specified number of target orders are processed, increasing the number of user resources of the task processing user based on the number of task resources includes:
and under the condition that the number of the long-distance orders is not less than the specified number, increasing the number of the user resources of the task processing user based on the number of the task resources.
5. The method of claim 1, wherein the determining a target task corresponding to the task processing user comprises:
constructing a user representation corresponding to a task processing user based on the user information;
inputting the user portrait into a service determination model, and predicting the order completion amount of a task processing user in a specified time period; the business determination model is used for determining the relationship between the user information and the user order completion condition;
and determining a target task corresponding to the task processing user according to the order completion amount.
6. The method of claim 1, wherein the target task corresponds to at least two task resource quantities, each task resource quantity corresponding to a different order completion quantity; the increasing the number of user resources of the task processing user based on the number of task resources includes:
and under the condition that the number of the target orders completed by the task processing user reaches the order completion number, increasing the number of the task resources corresponding to the order completion number for the user resource number of the task processing user.
7. The method of claim 1, wherein the target task corresponds to a task completion time limit; and the task completion time limit is used for limiting the time for completing the specified number of target orders by the task processing user.
8. The method of claim 1, wherein task resources include resources used in processing the target task.
9. A task processing apparatus, comprising:
the user information acquisition module is used for acquiring the user information of the task processing user; the user information is used for describing the task completion condition of the task processing user processing task;
the target task determining module is used for determining a target task corresponding to the task processing user according to the user information; the target task comprises a specified number of target orders; the target task also corresponds to the quantity of task resources;
the target task sending module is used for sending the target task to a user client corresponding to the task processing user so that the task processing user can obtain the target task;
and the resource quantity increasing module is used for increasing the user resource quantity of the task processing user based on the task resource quantity under the condition that the specified quantity of target orders are processed.
10. A task processing device comprising a memory and a processor;
the memory to store computer program instructions;
the processor to execute the computer program instructions to implement the steps of: acquiring user information of a task processing user; the user information is used for describing the task completion condition of the task processing user processing task; determining a target task corresponding to the task processing user according to the user information; the target task comprises a specified number of target orders; the target task also corresponds to the quantity of task resources; sending the target task to a user client corresponding to the task processing user so that the task processing user can obtain the target task; and increasing the user resource quantity of the task processing user based on the task resource quantity under the condition that the specified quantity of target orders are processed.
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Application publication date: 20210709 |