CN113822586B - Task rewarding method and system - Google Patents

Task rewarding method and system Download PDF

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CN113822586B
CN113822586B CN202111133922.6A CN202111133922A CN113822586B CN 113822586 B CN113822586 B CN 113822586B CN 202111133922 A CN202111133922 A CN 202111133922A CN 113822586 B CN113822586 B CN 113822586B
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CN113822586A (en
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邹前
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Shenzhen Weixiaobao Technology Co ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06311Scheduling, planning or task assignment for a person or group
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Abstract

The application discloses a task rewarding method and a task rewarding system, wherein the task rewarding method comprises the following steps: receiving task rewarding information issued by a first client and uploading the task rewarding information to a preset server; acquiring order receiving requests sent by a plurality of second clients received by a preset server, and selecting a target second client from the second clients as an order receiving user; detecting the task completion progress of the order receiving user, and acquiring the collection account information when the progress is completed; and (3) remitting the rewarding money corresponding to the task rewarding information into a collection account of the order receiving user. The order receiving users most suitable for the task rewarding information can be effectively screened out by intelligently screening each user sending the order receiving request to determine the final order receiving user to carry out the order receiving processing of the task, so that the efficiency and the quality of the task processing are ensured, and the experience of the client is improved.

Description

Task rewarding method and system
Technical Field
The application relates to the technical field of communication, in particular to a task rewarding method and a task rewarding system.
Background
With the development of internet technology, O2O services play an increasingly important role in people's daily lives, deriving many solutions and user scenarios. Taking traditional fire protection as an example, along with the continuous increase of buildings, the problems of equipment are also layered endlessly, so that the supply shortage of maintenance personnel of the maintenance company is caused, in order to cope with the problems, the maintenance company develops an online maintenance platform to issue a rewarding task, the free maintenance personnel can log in the platform to carry out task order through the online platform account registration, and the system can not only enable the free maintenance personnel to realize income through order receiving tasks, but also improve the maintenance efficiency of the buildings, but also has the following problems: the screening of the maintenance personnel is intelligently screened by the platform system, namely, the platform can screen the first person sending out the order receiving request to serve as the order receiving person, so that the order receiving maintenance personnel cannot finish tasks within a specified duration due to the fact that skills of the order receiving maintenance personnel are not matched, and the working efficiency and the experience of clients are reduced.
Disclosure of Invention
Aiming at the problems displayed in the prior art, the application provides a task rewarding method and a task rewarding system, which are used for solving the problems that the screening of maintenance personnel in the background art is intelligently screened by a platform system, namely, the platform screens the first person sending out a receipt request as a receipt person, so that the receipt person cannot finish tasks within a specified duration because skills of the maintenance person are not opposite, and the working efficiency and the experience of clients are reduced.
A task rewarding method comprising the steps of:
receiving task rewarding information issued by a first client and uploading the task rewarding information to a preset server;
acquiring order receiving requests sent by a plurality of second clients received by a preset server, and selecting a target second client from the second clients as an order receiving user;
detecting the task completion progress of the order receiving user, and acquiring the collection account information when the progress is completed;
and (3) remitting the rewarding money corresponding to the task rewarding information into a collection account of the order receiving user.
Preferably, the receiving task rewarding information issued by the first client and uploading the task rewarding information to a preset server includes:
acquiring task rewarding information issued by the first client from a specific channel;
performing task execution difficulty evaluation and appreciation money transaction condition evaluation on the task appreciation information to obtain an evaluation result;
determining a target difficulty level of task rewarding information according to the evaluation result and the task execution difficulty;
and uploading the task rewarding information to a column corresponding to the target difficulty level of the preset server.
Preferably, the obtaining the order receiving requests sent by the plurality of second clients and received by the preset server, selecting the target second client from the plurality of second clients as the order receiving user includes:
acquiring historical order information of each second client, screening the expected second clients with the same type of the historical order information and the type of the task rewarding information, and acquiring screening results;
acquiring the completion degree and evaluation information of the historical order information of each expected second client according to the screening result;
selecting a target expected second client which is excellent at the same time according to the completion degree and the evaluation information;
and selecting the target second client as the order receiving user according to the historical task proficiency of each target expected second client.
Preferably, before detecting the task completion progress of the order receiving user and acquiring the collection account information when the progress is completed, the method further comprises:
acquiring the information of the receiver corresponding to the target second client;
the information of the person receiving person is sent to the first client to carry out order receiving confirmation, and whether the first client feeds back the order receiving information is confirmed;
if the first client feeds back the consent order receiving information, constructing communication connection between the first client and the target second client and uploading the task rewarding information to the target second client;
and if the first client does not feed back the agreement order receiving information, re-selecting the order receiving user.
Preferably, the detecting the task completion progress of the order receiving user, when the progress is completed, acquiring the collection account information thereof, includes:
acquiring a task flow corresponding to the task rewarding information;
detecting a first task completion progress of the target second client according to the task flow, and simultaneously sending a request for obtaining the second task completion progress of the target second client to the first client;
comparing the first task completion progress with the second task completion progress, and confirming the task completion progress of the order receiving user as completion when the first task completion progress and the second task completion progress are the same;
and sending a request for acquiring the information of the collection account of the target second client to the target second client.
Preferably, the step of remitting the reward corresponding to the task reward information into the account of the order receiving user includes:
confirming the amount of the appreciation money corresponding to the task appreciation information;
calculating an intermediate service fee according to the appreciation amount, and calculating a difference between the appreciation amount and the intermediate service fee to obtain a mission commission of the target second client;
evaluating the authenticity of the information of the collection account, and when the evaluation result is true, importing the task commission into the collection account;
when the evaluation result is not true, acquiring platform registration account information of the order receiving user;
and confirming whether the first real-name information in the platform registration account information is the same as the second real-name information in the collection account information, if so, confirming that the collection account information is correct, otherwise, sending out an alarm reminding.
Preferably, before detecting the task completion progress of the order receiving user and acquiring the collection account information when the progress is completed, the method further comprises:
acquiring a historical order receiving record of an order receiving user, evaluating the order receiving user according to the historical order receiving record from geographic positions, historical response time, service quality, user evaluation and skill level dimension, and acquiring an evaluation result;
determining standard processing time length of each step in a task flow of a current task corresponding to the task rewarding information;
determining the standard completion time length of the current task according to the standard processing time length of each step;
determining the operation proficiency of the order receiving user to the current task according to the evaluation result, and predicting the target completion time length of the order receiving user according to the operation proficiency and the standard completion time length;
and uploading the target completion time to the first client.
Preferably, the acquiring the historical order receiving record of the order receiving user, evaluating the order receiving user according to the historical order receiving record from the geographic position, the historical response time, the service quality, the user evaluation and the skill level dimension, and acquiring the evaluation result includes:
analyzing the historical order receiving records, and confirming the geographical position, the task response time length, the task completion degree and the evaluation result of the task publisher of the historical order receiving task of the order receiving user;
obtaining geographic data of the geographic position of a task publisher of the historical order receiving task;
preprocessing the geographic data to obtain geographic features of each geographic data, and extracting first sensitive geographic features in the geographic features;
removing and screening the first sensitive geographic features by using a preset sensitive geographic feature system to obtain second sensitive geographic features;
confirming the risk of the second sensitive geographic feature, and carrying out reliability evaluation on the single user according to the risk to obtain a first evaluation result;
performing service quality evaluation on the order receiving user according to the task response time length and the task completion degree of the order receiving user on the historical order receiving task, and acquiring a second evaluation result;
performing skill level assessment on the single user by the root order user on the task response time and the task completion degree of the historical order task and the assessment result of the task publisher to obtain a third assessment result;
confirming the reliability index of the order receiving user according to the first evaluation result, the second evaluation result and the third evaluation result;
determining service attenuation factors and risk factors of the order receiving user according to task response time and task completion degrees of the order receiving user to the historical order receiving task;
intelligently adjusting the reliability index according to the service attenuation factor and the risk factor to obtain an adjusted reliability index;
comparing the adjusted reliability index with a preset reliability index to obtain a comparison result;
when the comparison result is that the adjusted reliability index is far greater than the preset reliability index, confirming that the order receiving user is a high-level user, when the comparison result is that the adjusted reliability index is close to the preset reliability index, confirming that the order receiving user is a medium-level user, and when the comparison result is that the adjusted reliability index is far less than the preset reliability index, confirming that the order receiving user is a low-level user;
and confirming the user grade of the order receiving user as an evaluation result.
Preferably, the selecting the target second client as the order receiving user according to the historical task proficiency of each target expected second client includes:
carrying out statistical analysis on historical executive personnel of the current task corresponding to the task rewarding information to obtain a user feature set corresponding to the current task;
acquiring historical behavior data of each target expected second client, and analyzing the historical behavior data to determine target characteristic data of personnel to which the target expected second client belongs;
matching the target feature data of the personnel belonging to each target expected second client in the user feature set to obtain the matching degree of each target expected second client;
marking a first target expected second client with the matching degree of the first third target expected second client;
acquiring the historical order receiving task completion time length of each first target expected second client, and calculating the historical task proficiency of each first target expected second client according to the completion time length;
and the second target with the highest historical task proficiency expects the second client to be the order receiving user in the first target expects the second client.
A task rewarding system, the system comprising:
the uploading module is used for receiving task rewarding information issued by the first client and uploading the task rewarding information to the preset server;
the selection module is used for acquiring order receiving requests sent by a plurality of second clients and received by the preset server, and selecting a target second client from the second clients as an order receiving user;
the detection module is used for detecting the task completion progress of the order receiving user, and acquiring the collection account information of the order receiving user when the progress is completed;
and the money transfer module is used for transferring the appreciation money corresponding to the task appreciation information into a collection account of the order receiving user.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical scheme of the application is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate the application and together with the embodiments of the application, serve to explain the application.
FIG. 1 is a workflow diagram of a task rewarding method provided by the application;
FIG. 2 is another workflow diagram of a task rewarding method provided by the application;
FIG. 3 is a further workflow diagram of a task rewarding method provided by the application;
FIG. 4 is a diagram illustrating an exemplary screenshot of a task rewarding method in accordance with the present application;
fig. 5 is a schematic diagram of a task rewarding system according to the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
With the development of internet technology, O2O services play an increasingly important role in people's daily lives, deriving many solutions and user scenarios. Taking traditional fire protection as an example, along with the continuous increase of buildings, the problems of equipment are also layered endlessly, so that the supply shortage of maintenance personnel of the maintenance company is caused, in order to cope with the problems, the maintenance company develops an online maintenance platform to issue a rewarding task, the free maintenance personnel can log in the platform to carry out task order through the online platform account registration, and the system can not only enable the free maintenance personnel to realize income through order receiving tasks, but also improve the maintenance efficiency of the buildings, but also has the following problems: the screening of the maintenance personnel is intelligently screened by the platform system, namely, the platform can screen the first person sending out the order receiving request to serve as the order receiving person, so that the order receiving maintenance personnel cannot finish tasks within a specified duration due to the fact that skills of the order receiving maintenance personnel are not matched, and the working efficiency and the experience of clients are reduced. In order to solve the above-described problems, the present embodiment discloses a task rewarding method.
A task rewarding method, as shown in fig. 1, comprises the following steps:
step S101, task rewarding information issued by a first client is received and uploaded to a preset server;
step S102, acquiring order receiving requests sent by a plurality of second clients and received by a preset server, and selecting a target second client from the plurality of second clients as an order receiving user;
step S103, detecting the task completion progress of the order receiving user, and acquiring the collection account information when the progress is completed;
step S104, the rewarding money corresponding to the task rewarding information is imported into a cash account of the order receiving user.
The working principle of the technical scheme is as follows: firstly, receiving task rewarding information issued by a first client and uploading the task rewarding information to a preset server, then acquiring order receiving requests issued by a plurality of second clients received by the preset server, selecting a target second client from the plurality of second clients as order receiving users, comprehensively screening out proper users as order receiving users according to the skill information of each user and the type of the current task corresponding to the task rewarding information, uploading specific information of the current task to the target second clients of the order receiving users, detecting task completion progress in real time, acquiring account information of the order receiving users when the progress is completed, and finally importing the rewarding account corresponding to the task rewarding information into accounts of the order receiving users.
The beneficial effects of the technical scheme are as follows: the method has the advantages that the order receiving process of determining the final order receiving user to carry out the task is carried out by intelligently screening each user sending the order receiving request, so that the order receiving user most suitable for task rewarding information can be effectively screened out, the efficiency and quality of task processing are guaranteed, the experience of a client is improved, the problem that in the prior art, the screening of maintenance personnel is intelligently screened by a platform system, namely, the platform can screen out the first person sending the order receiving request to serve as the person receiving personnel, and further the maintenance personnel who receives the order cannot finish the task within a specified duration due to the fact that skills are not matched is solved, and the working efficiency and the experience of the client are reduced.
In one embodiment, as shown in fig. 2, the receiving task rewards information issued by the first client and uploading the task rewards information to a preset server includes:
step S201, task rewarding information issued by the first client is obtained from a specific channel;
step S202, task execution difficulty evaluation and appreciation money transaction condition evaluation are carried out on the task appreciation information, and an evaluation result is obtained;
step S203, determining a target difficulty level of task rewarding information according to the evaluation result and the task execution difficulty;
step S204, uploading the task rewarding information to a column corresponding to the target difficulty level of the preset server.
The beneficial effects of the technical scheme are as follows: the privacy and the safety of the rewarding task can be effectively ensured by acquiring the task rewarding information from the specific channel, and meanwhile, the execution difficulty corresponding to the task rewarding information can be estimated by carrying out difficulty level evaluation on the task rewarding information, so that the screening standard is improved for the screening work of the follow-up order receiving user, the screening range is reduced, and the screening efficiency is improved.
In one embodiment, as shown in fig. 3, the obtaining the order receiving requests sent by the plurality of second clients and received by the preset server, selecting the target second client from the plurality of second clients as the order receiving user includes:
step S301, acquiring historical order information of each second client, screening expected second clients with the same type of the historical order information and the type of the task rewarding information, and acquiring screening results;
step S302, acquiring the completion degree and evaluation information of the historical order receiving information of each expected second client according to the screening result;
step S303, selecting a target expected second client which is excellent at the same time according to the completion degree and the evaluation information;
and step S304, selecting the target second client as the order receiving user according to the historical task proficiency of each target expected second client.
The beneficial effects of the technical scheme are as follows: the users matched with the task rewarding information types can be effectively determined by screening according to the attribution type of the historical order receiving information of each user, screening efficiency is further improved, meanwhile, the screening efficiency can be further improved by the fact that the most suitable order receiving users are obtained through subsequent repeated screening, and meanwhile, task completion efficiency and task completion quality are guaranteed.
In one embodiment, before detecting the task completion progress of the order taker, and acquiring the collection account information thereof when the progress is completed, the method further comprises:
acquiring the information of the receiver corresponding to the target second client;
the information of the person receiving person is sent to the first client to carry out order receiving confirmation, and whether the first client feeds back the order receiving information is confirmed;
if the first client feeds back the consent order receiving information, constructing communication connection between the first client and the target second client and uploading the task rewarding information to the target second client;
and if the first client does not feed back the agreement order receiving information, re-selecting the order receiving user.
The beneficial effects of the technical scheme are as follows: the first party client can independently select the order receiving user, and the experience of first party personnel is further improved.
In one embodiment, the detecting the task completion progress of the order receiving user, and acquiring the collection account information when the progress is completed, includes:
acquiring a task flow corresponding to the task rewarding information;
detecting a first task completion progress of the target second client according to the task flow, and simultaneously sending a request for obtaining the second task completion progress of the target second client to the first client;
comparing the first task completion progress with the second task completion progress, and confirming the task completion progress of the order receiving user as completion when the first task completion progress and the second task completion progress are the same;
and sending a request for acquiring the information of the collection account of the target second client to the target second client.
The beneficial effects of the technical scheme are as follows: the task completion progress of the order taker is determined by using intelligent detection and a synchronous mode of determining the intelligent detection and the synchronous mode of determining the intelligent detection to the first party client, so that whether the order taker completes the task can be accurately judged, and the stability is improved.
In one embodiment, the step of remitting the reward corresponding to the task reward information into the account of the order receiving user includes:
confirming the amount of the appreciation money corresponding to the task appreciation information;
calculating an intermediate service fee according to the appreciation amount, and calculating a difference between the appreciation amount and the intermediate service fee to obtain a mission commission of the target second client;
evaluating the authenticity of the information of the collection account, and when the evaluation result is true, importing the task commission into the collection account;
when the evaluation result is not true, acquiring platform registration account information of the order receiving user;
and confirming whether the first real-name information in the platform registration account information is the same as the second real-name information in the collection account information, if so, confirming that the collection account information is correct, otherwise, sending out an alarm reminding.
The beneficial effects of the technical scheme are as follows: the authenticity of the collection account is evaluated, so that the order taker can receive the task appreciation without errors, and the safety is improved.
In one embodiment, before detecting the task completion progress of the order taker, and acquiring the collection account information thereof when the progress is completed, the method further comprises:
acquiring a historical order receiving record of an order receiving user, evaluating the order receiving user according to the historical order receiving record from geographic positions, historical response time, service quality, user evaluation and skill level dimension, and acquiring an evaluation result;
determining standard processing time length of each step in a task flow of a current task corresponding to the task rewarding information;
determining the standard completion time length of the current task according to the standard processing time length of each step;
determining the operation proficiency of the order receiving user to the current task according to the evaluation result, and predicting the target completion time length of the order receiving user according to the operation proficiency and the standard completion time length;
and uploading the target completion time to the first client.
The beneficial effects of the technical scheme are as follows: through evaluating the target completion time of the order taker and uploading the target completion time to the first client of the first party, the first party can confirm whether to select the order taker according to the target completion time, and reasonable order takers can be intelligently selected based on the urgent sense of the task, so that the practicability and the task completion efficiency are improved.
In one embodiment, the obtaining the historical order records of the order users, evaluating the order users from the geographic location, the historical response time, the service quality, the user evaluation and the skill level dimension according to the historical order records, and obtaining the evaluation result includes:
analyzing the historical order receiving records, and confirming the geographical position, the task response time length, the task completion degree and the evaluation result of the task publisher of the historical order receiving task of the order receiving user;
obtaining geographic data of the geographic position of a task publisher of the historical order receiving task;
preprocessing the geographic data to obtain geographic features of each geographic data, and extracting first sensitive geographic features in the geographic features;
removing and screening the first sensitive geographic features by using a preset sensitive geographic feature system to obtain second sensitive geographic features;
confirming the risk of the second sensitive geographic feature, and carrying out reliability evaluation on the single user according to the risk to obtain a first evaluation result;
performing service quality evaluation on the order receiving user according to the task response time length and the task completion degree of the order receiving user on the historical order receiving task, and acquiring a second evaluation result;
performing skill level assessment on the single user by the root order user on the task response time and the task completion degree of the historical order task and the assessment result of the task publisher to obtain a third assessment result;
confirming the reliability index of the order receiving user according to the first evaluation result, the second evaluation result and the third evaluation result;
determining service attenuation factors and risk factors of the order receiving user according to task response time and task completion degrees of the order receiving user to the historical order receiving task;
intelligently adjusting the reliability index according to the service attenuation factor and the risk factor to obtain an adjusted reliability index;
comparing the adjusted reliability index with a preset reliability index to obtain a comparison result;
when the comparison result is that the adjusted reliability index is far greater than the preset reliability index, confirming that the order receiving user is a high-level user, when the comparison result is that the adjusted reliability index is close to the preset reliability index, confirming that the order receiving user is a medium-level user, and when the comparison result is that the adjusted reliability index is far less than the preset reliability index, confirming that the order receiving user is a low-level user;
and confirming the user grade of the order receiving user as an evaluation result.
The beneficial effects of the technical scheme are as follows: the reliability evaluation is carried out on the order receiving user from multiple angles, so that the completion degree of the order receiving user corresponding to the task rewarding information can be effectively determined, the user grade to which the order receiving user belongs can be accurately judged, the completion time of the order receiving user for the current task can be approximately evaluated according to the grade, the ability of the task publisher to the order receiving person can be known, the order receiving person can be selectively replaced, and the order receiving efficiency is laterally improved.
Preferably, the selecting the target second client as the order receiving user according to the historical task proficiency of each target expected second client includes:
carrying out statistical analysis on historical executive personnel of the current task corresponding to the task rewarding information to obtain a user feature set corresponding to the current task;
acquiring historical behavior data of each target expected second client, and analyzing the historical behavior data to determine target characteristic data of personnel to which the target expected second client belongs;
matching the target feature data of the personnel belonging to each target expected second client in the user feature set to obtain the matching degree of each target expected second client;
marking a first target expected second client with the matching degree of the first third target expected second client;
acquiring the historical order receiving task completion time length of each first target expected second client, and calculating the historical task proficiency of each first target expected second client according to the completion time length;
and the second target with the highest historical task proficiency expects the second client to be the order receiving user in the first target expects the second client.
The beneficial effects of the technical scheme are as follows: the second client of the receipt can be effectively screened according to the task property corresponding to the rewarding task information by carrying out user characteristic analysis on the current task, the clients with non-conforming characteristics can be intelligently eliminated, the number of manually selected specimens is reduced, the screening efficiency is improved, and further, the completion degree and the working efficiency of the current task can be ensured by selecting the corresponding person of the client with highest proficiency as the receipt person, and the stability is improved.
In one embodiment, as shown in FIG. 4, includes:
the first client side sends the rewarding task information to the first client side through the server, the second client side sends the order receiving request to the first client side, the first client side sends the order receiving agreement information to the second client side, the first client side sends the task completion information to the server, the server receives the task completion information, and the rewarding fee is transferred to an account corresponding to the second client side corresponding to the task completion information after deducting the service fee according to the task completion information. The rewarding party can issue rewarding task information according to actual demands, after the rewarding task information of the rewarding party is issued, the receiving party can receive a bill to finish tasks, and after the tasks are finished, corresponding rewards can be obtained, so that individual demands of the rewarding party are met.
The embodiment also discloses a task rewarding system, as shown in fig. 5, which comprises:
the uploading module 501 is configured to receive task rewarding information issued by the first client and upload the task rewarding information to a preset server;
the selecting module 502 is configured to obtain order receiving requests sent by a plurality of second clients and received by a preset server, and select a target second client from the plurality of second clients as an order receiving user;
the detection module 503 is configured to detect a task completion progress of the order receiving user, and acquire the collection account information when the progress is completed;
and the remittance module 504 is used for remitting the appreciation money corresponding to the task appreciation information into the collection account of the order receiving user.
The working principle and the beneficial effects of the above technical solution are described in the method claims, and are not repeated here.
It will be appreciated by those skilled in the art that the first and second aspects of the present application refer to different phases of application.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (6)

1. A task rewarding method characterized by comprising the steps of:
receiving task rewarding information issued by a first client and uploading the task rewarding information to a preset server;
acquiring order receiving requests sent by a plurality of second clients received by a preset server, and selecting a target second client from the second clients as an order receiving user;
acquiring a historical order receiving record of an order receiving user, evaluating the order receiving user according to the historical order receiving record from geographic positions, historical response time, service quality, user evaluation and skill level dimension, and acquiring an evaluation result;
determining standard processing time length of each step in a task flow of a current task corresponding to the task rewarding information;
determining the standard completion time length of the current task according to the standard processing time length of each step;
determining the operation proficiency of the order receiving user to the current task according to the evaluation result, and predicting the target completion time length of the order receiving user according to the operation proficiency and the standard completion time length;
uploading the target completion time to the first client;
detecting the task completion progress of the order receiving user, and acquiring the collection account information when the progress is completed;
the rewarding money corresponding to the task rewarding information is imported into a cash collecting account of the order receiving user;
the method for acquiring the order receiving requests sent by the second clients and received by the preset server comprises the steps of:
acquiring historical order information of each second client, screening the expected second clients with the same type of the historical order information and the type of the task rewarding information, and acquiring screening results;
acquiring the completion degree and evaluation information of the historical order information of each expected second client according to the screening result;
selecting a target expected second client which is excellent at the same time according to the completion degree and the evaluation information;
selecting a target second client as the order receiving user according to the historical task proficiency of each target expected second client; wherein the selecting the target second client as the order receiving user according to the historical task proficiency of each target expected second client includes:
carrying out statistical analysis on historical executive personnel of the current task corresponding to the task rewarding information to obtain a user feature set corresponding to the current task;
acquiring historical behavior data of each target expected second client, and analyzing the historical behavior data to determine target characteristic data of personnel to which the target expected second client belongs;
matching the target feature data of the personnel belonging to each target expected second client in the user feature set to obtain the matching degree of each target expected second client;
marking a first target expected second client with the matching degree of the first third target expected second client;
acquiring the historical order receiving task completion time length of each first target expected second client, and calculating the historical task proficiency of each first target expected second client according to the completion time length;
taking the second target expected second client with highest historical task proficiency as the order receiving user in the first target expected second client;
the method for acquiring the historical order receiving records of the order receiving users, evaluating the order receiving users according to the historical order receiving records from geographic positions, historical response time, service quality, user evaluation and skill level dimension, and acquiring evaluation results comprises the following steps:
analyzing the historical order receiving records, and confirming the geographical position, the task response time length, the task completion degree and the evaluation result of the task publisher of the historical order receiving task of the order receiving user;
obtaining geographic data of the geographic position of a task publisher of the historical order receiving task;
preprocessing the geographic data to obtain geographic features of each geographic data, and extracting first sensitive geographic features in the geographic features;
removing and screening the first sensitive geographic features by using a preset sensitive geographic feature system to obtain second sensitive geographic features;
confirming the risk of the second sensitive geographic feature, and carrying out reliability evaluation on the single user according to the risk to obtain a first evaluation result;
performing service quality evaluation on the order receiving user according to the task response time length and the task completion degree of the order receiving user on the historical order receiving task, and acquiring a second evaluation result;
performing skill level assessment on the single user by the root order user on the task response time and the task completion degree of the historical order task and the assessment result of the task publisher to obtain a third assessment result;
confirming the reliability index of the order receiving user according to the first evaluation result, the second evaluation result and the third evaluation result;
determining service attenuation factors and risk factors of the order receiving user according to task response time and task completion degree of the order receiving user to the historical order receiving task;
intelligently adjusting the reliability index according to the service attenuation factor and the risk factor to obtain an adjusted reliability index;
comparing the adjusted reliability index with a preset reliability index to obtain a comparison result;
when the comparison result is that the adjusted reliability index is far greater than the preset reliability index, confirming that the order receiving user is a high-level user, when the comparison result is that the adjusted reliability index is close to the preset reliability index, confirming that the order receiving user is a medium-level user, and when the comparison result is that the adjusted reliability index is far less than the preset reliability index, confirming that the order receiving user is a low-level user;
and confirming the user grade of the order receiving user as an evaluation result.
2. The task rewarding method of claim 1 wherein said receiving task rewarding information issued by the first client and uploading it to a preset server comprises:
acquiring task rewarding information issued by the first client from a specific channel;
performing task execution difficulty evaluation and appreciation money transaction condition evaluation on the task appreciation information to obtain an evaluation result;
determining a target difficulty level of task rewarding information according to the evaluation result and the task execution difficulty;
and uploading the task rewarding information to a column corresponding to the target difficulty level of the preset server.
3. The task rewarding method of claim 1 wherein, before detecting a task completion progress of the order taker, acquiring its collection account information when the progress is completed, the method further comprises:
acquiring the information of the receiver corresponding to the target second client;
the information of the person receiving person is sent to the first client to carry out order receiving confirmation, and whether the first client feeds back the order receiving information is confirmed;
if the first client feeds back the consent order receiving information, constructing communication connection between the first client and the target second client and uploading the task rewarding information to the target second client;
and if the first client does not feed back the agreement order receiving information, re-selecting the order receiving user.
4. The task rewarding method of claim 1 wherein detecting a task completion progress of the order taker and acquiring the collection account information thereof when the progress is completed comprises:
acquiring a task flow corresponding to the task rewarding information;
detecting a first task completion progress of the target second client according to the task flow, and simultaneously sending a request for obtaining the second task completion progress of the target second client to the first client;
comparing the first task completion progress with the second task completion progress, and confirming the task completion progress of the order receiving user as completion when the first task completion progress and the second task completion progress are the same;
and sending a request for acquiring the information of the collection account of the target second client to the target second client.
5. The task rewarding method of claim 1 wherein remitting the rewards corresponding to the task rewards information into the account of the order taker includes:
confirming the amount of the appreciation money corresponding to the task appreciation information;
calculating an intermediate service fee according to the appreciation amount, and calculating a difference between the appreciation amount and the intermediate service fee to obtain a mission commission of the target second client;
evaluating the authenticity of the information of the collection account, and when the evaluation result is true, importing the task commission into the collection account;
when the evaluation result is not true, acquiring platform registration account information of the order receiving user;
and confirming whether the first real-name information in the platform registration account information is the same as the second real-name information in the collection account information, if so, confirming that the collection account information is correct, otherwise, sending out an alarm reminding.
6. A task rewarding system, the system comprising:
the uploading module is used for receiving task rewarding information issued by the first client and uploading the task rewarding information to the preset server;
the selection module is used for acquiring order receiving requests sent by a plurality of second clients and received by the preset server, and selecting a target second client from the second clients as an order receiving user;
the evaluation module is used for acquiring a historical order receiving record of the order receiving user, evaluating the order receiving user according to the historical order receiving record from the geographic position, the historical response time, the service quality, the user evaluation and the skill level dimension, and acquiring an evaluation result;
the step duration module is used for determining the standard processing duration of each step in the task flow of the current task corresponding to the task rewarding information;
the task duration module is used for determining the standard completion duration of the current task according to the standard processing duration of each step;
the prediction module is used for determining the operation proficiency of the order receiving user on the current task according to the evaluation result and predicting the target completion time length of the order receiving user according to the operation proficiency and the standard completion time length;
the uploading module is used for uploading the target completion time to the first client; the detection module is used for detecting the task completion progress of the order receiving user, and acquiring the collection account information of the order receiving user when the progress is completed;
the money transfer module is used for transferring the appreciation money corresponding to the task appreciation information into a collection account of the order receiving user;
wherein, the selection module performs the following operations:
acquiring historical order information of each second client, screening the expected second clients with the same type of the historical order information and the type of the task rewarding information, and acquiring screening results;
acquiring the completion degree and evaluation information of the historical order information of each expected second client according to the screening result;
selecting a target expected second client which is excellent at the same time according to the completion degree and the evaluation information;
selecting a target second client as the order receiving user according to the historical task proficiency of each target expected second client;
wherein the selecting the target second client as the order receiving user according to the historical task proficiency of each target expected second client includes:
carrying out statistical analysis on historical executive personnel of the current task corresponding to the task rewarding information to obtain a user feature set corresponding to the current task;
acquiring historical behavior data of each target expected second client, and analyzing the historical behavior data to determine target characteristic data of personnel to which the target expected second client belongs;
matching the target feature data of the personnel belonging to each target expected second client in the user feature set to obtain the matching degree of each target expected second client;
marking a first target expected second client with the matching degree of the first third target expected second client;
acquiring the historical order receiving task completion time length of each first target expected second client, and calculating the historical task proficiency of each first target expected second client according to the completion time length;
taking the second target expected second client with highest historical task proficiency as the order receiving user in the first target expected second client;
wherein the evaluation module performs the following operations:
analyzing the historical order receiving records, and confirming the geographical position, the task response time length, the task completion degree and the evaluation result of the task publisher of the historical order receiving task of the order receiving user;
obtaining geographic data of the geographic position of a task publisher of the historical order receiving task;
preprocessing the geographic data to obtain geographic features of each geographic data, and extracting first sensitive geographic features in the geographic features;
removing and screening the first sensitive geographic features by using a preset sensitive geographic feature system to obtain second sensitive geographic features;
confirming the risk of the second sensitive geographic feature, and carrying out reliability evaluation on the single user according to the risk to obtain a first evaluation result;
performing service quality evaluation on the order receiving user according to the task response time length and the task completion degree of the order receiving user on the historical order receiving task, and acquiring a second evaluation result;
performing skill level assessment on the single user by the root order user on the task response time and the task completion degree of the historical order task and the assessment result of the task publisher to obtain a third assessment result;
confirming the reliability index of the order receiving user according to the first evaluation result, the second evaluation result and the third evaluation result;
determining service attenuation factors and risk factors of the order receiving user according to task response time and task completion degree of the order receiving user to the historical order receiving task;
intelligently adjusting the reliability index according to the service attenuation factor and the risk factor to obtain an adjusted reliability index;
comparing the adjusted reliability index with a preset reliability index to obtain a comparison result;
when the comparison result is that the adjusted reliability index is far greater than the preset reliability index, confirming that the order receiving user is a high-level user, when the comparison result is that the adjusted reliability index is close to the preset reliability index, confirming that the order receiving user is a medium-level user, and when the comparison result is that the adjusted reliability index is far less than the preset reliability index, confirming that the order receiving user is a low-level user;
and confirming the user grade of the order receiving user as an evaluation result.
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104574089A (en) * 2015-01-13 2015-04-29 北京典精智慧科技有限公司 Questioning and answering processing method and server
CN109118097A (en) * 2018-08-21 2019-01-01 陈志诚 A kind of reliability and maintanability, r&m Supportability Evaluation method and apparatus
CN110348810A (en) * 2019-07-16 2019-10-18 河北冀联人力资源服务集团有限公司 Team's recommended method and system
CN110909897A (en) * 2019-11-27 2020-03-24 珠海格力电器股份有限公司 Method, system, storage medium and computer equipment for repairing equipment failure
CN111652396A (en) * 2019-12-09 2020-09-11 武汉空心科技有限公司 Task allocation method for designated user of working platform
CN111652403A (en) * 2019-12-09 2020-09-11 武汉空心科技有限公司 Feedback correction-based work platform task workload prediction method
WO2021139438A1 (en) * 2020-01-07 2021-07-15 平安科技(深圳)有限公司 Big data resource processing method and apparatus, and terminal and storage medium

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104574089A (en) * 2015-01-13 2015-04-29 北京典精智慧科技有限公司 Questioning and answering processing method and server
CN109118097A (en) * 2018-08-21 2019-01-01 陈志诚 A kind of reliability and maintanability, r&m Supportability Evaluation method and apparatus
CN110348810A (en) * 2019-07-16 2019-10-18 河北冀联人力资源服务集团有限公司 Team's recommended method and system
CN110909897A (en) * 2019-11-27 2020-03-24 珠海格力电器股份有限公司 Method, system, storage medium and computer equipment for repairing equipment failure
CN111652396A (en) * 2019-12-09 2020-09-11 武汉空心科技有限公司 Task allocation method for designated user of working platform
CN111652403A (en) * 2019-12-09 2020-09-11 武汉空心科技有限公司 Feedback correction-based work platform task workload prediction method
WO2021139438A1 (en) * 2020-01-07 2021-07-15 平安科技(深圳)有限公司 Big data resource processing method and apparatus, and terminal and storage medium

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
"基于微信小程序的悬赏发布系统的设计与实现";赵贯忠;《科学技术创新》(第24期);全文 *
"众包平台的奖金设置策略研究";王彦杰;《中国优秀硕士学位论文全文数据库 经济与管理科学J辑》;全文 *
协同决策支持系统中的信任模型研究;彭涛 等;《计算机工程》(第7期);全文 *

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