CN111861528A - Task configuration method and device, electronic equipment and computer readable storage medium - Google Patents
Task configuration method and device, electronic equipment and computer readable storage medium Download PDFInfo
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Abstract
The embodiment of the disclosure discloses a task configuration method, a task configuration device, electronic equipment and a computer readable storage medium, wherein the production task scheduling method comprises the following steps: acquiring user portrait data; determining a user type from the user representation data; and configuring the task to be executed at least according to the user type. In the above manner of the embodiment of the present disclosure, on one hand, the task to be executed of the user is configurable; on the other hand, the task to be executed configured for the user is related to the portrait data of the user, namely the task to be executed which the user prefers to accept is configured, so that the flexibility of platform operation on the Internet is improved, different requirements of different user types are considered, and the use experience of the user is improved.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a task configuration method and apparatus, an electronic device, and a computer-readable storage medium.
Background
Currently, internet online platforms are essentially user-oriented. Therefore, the operation mode of the internet online platform mainly focuses on the improvement of the user experience. In order to improve the user experience and increase the user stickiness, the traditional operation mode is to provide a set of feasible schemes for all users, so as to attract more users through better use experience and improve the activity of the users on the internet online platform. However, as the number of users increases, it is difficult to find a set of solutions suitable for most or even all users, and therefore how to improve the use experience of most or even all users is one of the problems that needs to be solved currently.
Disclosure of Invention
The embodiment of the disclosure provides a task configuration method and device, electronic equipment and a computer-readable storage medium.
In a first aspect, a task configuration method is provided in an embodiment of the present disclosure.
Specifically, the task configuration method includes:
acquiring user portrait data;
determining a user type from the user representation data;
and configuring the task to be executed at least according to the user type.
With reference to the first aspect, in a first implementation manner of the first aspect, the determining a user type according to the user portrait data includes:
determining user liveness from the user representation data;
determining the user type based at least on the user liveness.
With reference to the first aspect, in a second implementation manner of the first aspect, the method further includes:
and configuring user rewards for completing the tasks to be executed at least according to the user types.
With reference to the first aspect, the first implementation manner of the first aspect, and/or the second implementation manner of the first aspect, in a third implementation manner of the first aspect, the configuring, at least according to the user type, a user reward for completing the task to be performed includes:
And configuring user rewards for completing the tasks to be executed according to the user types and the user preference data.
With reference to the first aspect, the first implementation manner of the first aspect, the second implementation manner of the first aspect, and/or the third implementation manner of the first aspect, in a fourth implementation manner of the first aspect, the method further includes:
and displaying the task to be executed and/or the user reward on a user page.
With reference to the first aspect, the first implementation manner of the first aspect, the second implementation manner of the first aspect, and the third implementation manner of the first aspect, in a fifth implementation manner of the first aspect, the method further includes:
and in response to detecting the event of completing the task to be executed, binding the user reward to a user account.
With reference to the first aspect, the first implementation manner of the first aspect, the second implementation manner of the first aspect, and the third implementation manner of the first aspect, in a sixth implementation manner of the first aspect, the user reward includes at least one of a member reward and a red pack reward.
In a second aspect, a task configuration apparatus is provided in an embodiment of the present disclosure.
Specifically, the task configuration device includes:
an acquisition module configured to acquire user portrait data;
a determination module configured to determine a user type from the user representation data;
a first configuration module configured to configure a task to be performed according to at least the user type.
With reference to the second aspect, in a first implementation manner of the second aspect, the determining module includes:
a first determination submodule configured to determine user liveness from the user representation data;
a second determination submodule configured to determine the user type based at least on the user activity. With reference to the second aspect, in a second implementation manner of the second aspect, the apparatus further includes:
a second configuration module configured to configure a user reward for completing the task to be performed according to at least the user type.
With reference to the second aspect, the first implementation manner of the second aspect, and/or the second implementation manner of the second aspect, in a third implementation manner of the second aspect, the second configuration module includes:
a configuration submodule configured to configure a user reward for completing the task to be performed based at least on the user type and user preference data.
With reference to the second aspect, the first implementation manner of the second aspect, and the second implementation manner of the second aspect, in a fourth implementation manner of the second aspect, the apparatus further includes:
a presentation module configured to present the task to be performed and/or the user reward on a user page.
With reference to the second aspect, the first implementation manner of the second aspect, and the second implementation manner of the second aspect, in a fifth implementation manner of the second aspect, the apparatus further includes:
a response module configured to bind the user reward to a user account in response to detecting the event of completing the task to be performed.
With reference to the second aspect, the first implementation manner of the second aspect, the second implementation manner of the second aspect, the third implementation manner of the second aspect, the fourth implementation manner of the second aspect, and/or the fifth implementation manner of the second aspect, in a sixth implementation manner of the second aspect, the user reward includes at least one of a member reward and a bonus award.
The functions can be realized by hardware, and the functions can also be realized by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the above-described functions.
In one possible design, the task configuration device includes a memory and a processor, the memory is used for storing one or more computer instructions for supporting the task configuration device to execute the task configuration method in the first aspect, and the processor is configured to execute the computer instructions stored in the memory. The task configuration means may further comprise a communication interface for the task configuration means to communicate with other devices or a communication network.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including a memory and a processor; wherein the memory is to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the method steps of:
acquiring user portrait data;
determining a user type from the user representation data;
and configuring the task to be executed at least according to the user type.
With reference to the third aspect, in a first implementation manner of the third aspect, the determining a user type according to the user portrait data includes:
determining user liveness from the user representation data;
determining the user type based at least on the user liveness.
With reference to the third aspect and/or the first implementation manner of the third aspect, in a second implementation manner of the third aspect, the one or more computer instructions are further executed by the processor to implement the following method steps:
and configuring user rewards for completing the tasks to be executed at least according to the user types.
With reference to the third aspect, the first implementation manner of the third aspect, and/or the second implementation manner of the third aspect, in a third implementation manner of the third aspect, the configuring, at least according to the user type, a user reward for completing the task to be performed includes:
and configuring user rewards for completing the tasks to be executed according to the user types and the user preference data.
With reference to the third aspect, the first implementation manner of the third aspect, the second implementation manner of the third aspect, and/or the third implementation manner of the third aspect, in a fourth implementation manner of the third aspect, the one or more computer instructions are further executed by the processor to implement the following method steps:
and displaying the task to be executed and/or the user reward on a user page.
With reference to the third aspect, the first implementation manner of the third aspect, the second implementation manner of the third aspect, the third implementation manner of the third aspect, and/or the fourth implementation manner of the third aspect, in a fifth implementation manner of the third aspect, the one or more computer instructions are further executed by the processor to implement the following method steps:
And in response to detecting the event of completing the task to be executed, binding the user reward to a user account.
With reference to the third aspect, the first implementation manner of the third aspect, the second implementation manner of the third aspect, the third implementation manner of the third aspect, the fourth implementation manner of the third aspect, and/or the fifth implementation manner of the third aspect, in a sixth implementation manner of the third aspect, the user reward includes at least one of a member reward and a red package reward.
In a fourth aspect, the disclosed embodiments provide a computer-readable storage medium for storing computer instructions for a task configuration device, which includes computer instructions for performing the task configuration method in the first aspect.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
in the embodiment of the disclosure, for a user of an internet online platform, the user portrait data of the user on the internet online platform is collected, the user is divided into different user types according to the user portrait data, and different tasks to be executed are configured for different users according to the different user types. Through the above mode of the embodiment of the present disclosure, on one hand, the task to be executed of the user is configurable; on the other hand, the task to be executed configured for the user is related to the portrait data of the user, namely the task to be executed which the user prefers to accept is configured, so that the flexibility of platform operation on the Internet is improved, different requirements of different user types are considered, and the use experience of the user is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
Other features, objects, and advantages of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments when taken in conjunction with the accompanying drawings. In the drawings:
FIG. 1 illustrates a flow diagram of a task configuration method according to an embodiment of the present disclosure;
FIG. 2 shows a flow chart of step S102 according to the embodiment shown in FIG. 1;
FIG. 3 illustrates a schematic diagram of an application scenario for showing configured tasks to be performed and user rewards for a takeaway dining platform user according to an embodiment of the disclosure;
FIG. 4 is a block diagram of a task configuration device according to an embodiment of the present disclosure;
FIG. 5 illustrates a block diagram of the determination module 402 according to the embodiment shown in FIG. 4;
fig. 6 is a schematic structural diagram of an electronic device suitable for implementing a task configuration method according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. Also, for the sake of clarity, parts not relevant to the description of the exemplary embodiments are omitted in the drawings.
In the present disclosure, it is to be understood that terms such as "including" or "having," etc., are intended to indicate the presence of the disclosed features, numbers, steps, behaviors, components, parts, or combinations thereof, and are not intended to preclude the possibility that one or more other features, numbers, steps, behaviors, components, parts, or combinations thereof may be present or added.
It should be further noted that the embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 illustrates a flowchart of a task configuration method according to an embodiment of the present disclosure. As shown in fig. 1, the task configuration method includes the following steps S101 to S103:
in step S101, user portrait data is acquired;
in step S102, determining a user type from the user representation data;
in step S103, a task to be executed is configured at least according to the user type.
In this embodiment, the user portrait data may be obtained by analyzing the user's own attributes and user behaviors of the online platform of the internet, and is used to identify some data preferred by the user. The user behavior can be effective behavior of the user in an online platform of the internet, and comprises various operations of the online platform of the user, for example, for a business operation application platform, the user behavior comprises the behaviors of ordering, searching, collecting, browsing, clicking, evaluating, logging in and the like. The user portrait data includes, for example, the total number of orders placed, the frequency of login, the objects viewed, the objects purchased, the objects clicked, the objects evaluated, the height of evaluation, the objects collected, and the objects searched for by the user on the online platform. The disclosed embodiments may periodically generate user representation data for each user based on data such as behavior generated by the user on the online platform, which may be used to identify characteristics of the user in some or some aspects.
In some embodiments, the user type is related to the liveness of the user on the online platform, and the like. For example, the user types may include new users (e.g., users who have not placed a list after registration), old users (e.g., users who have placed a list after registration), reflow users (e.g., users who have placed a list after registration but have not placed a list for a long period of time thereafter), and so on; the old users can also comprise member users and non-member users; non-member users may in turn include active users and inactive users; reflow users may, in turn, include attrition users (e.g., users who have not singled out for more than a certain amount of time) and silence users (e.g., users who will periodically log on to an online platform for browsing, but who have not singled out a year). The activity of the user on-line platform can be measured according to one or more of the data such as the browsing frequency of the user opening the on-line platform, the time spent in each browsing, the ordering frequency of the user, and the like.
After the user type is determined from the user representation data, different tasks to be performed may be configured for users having different user types. The task to be performed may be a task that the user can complete through some user actions on the online platform, such as placing an order, evaluating, checking in, browsing certain content, and the like.
Since there are many users of the online platform, and different users have different features and different requirements, the behavior of these users on the online platform will also vary. By analyzing the user behavior of the online platform of the user over a period of time, corresponding portrait data can be generated for the user from a plurality of different aspects, and the portrait data can reflect some characteristics of the user, namely different points among different users. According to the method and the device, the user portrait data capable of reflecting different characteristics of the user are analyzed, the user is divided into different user types, and the task to be executed suitable for the user is configured for different users according to the user types, so that the service provided by the online platform for the user is more targeted, and the personalized requirements of the user can be met.
In the embodiment of the disclosure, for a user of an internet online platform, the user portrait data of the user on the internet online platform is collected, the user is divided into different user types according to the user portrait data, and different tasks to be executed are configured for different users according to the different user types. Through the above mode of the embodiment of the present disclosure, on one hand, the task to be executed of the user is configurable; on the other hand, the task to be executed configured for the user is related to the portrait data of the user, namely the task to be executed which the user prefers to accept is configured, so that the flexibility of platform operation on the Internet is improved, different requirements of different user types are considered, and the use experience of the user is improved.
In an optional implementation manner of this embodiment, as shown in fig. 2, the step S102 of determining the user type according to the user portrait data further includes the following steps S201 to S202:
in step S201, determining a user liveness from the user representation data;
in step S202, the user type is determined based at least on the user activity.
In an alternative implementation of this embodiment, the user representation data may include data that identifies behavioral characteristics of the user's online platform, such as user A frequently browsing the online platform, user B frequently ordering the online platform, user C rarely opens the online platform, and so forth. User liveness, whether the user is active on the online platform, may thus be determined by the user representation data. The activity of the user on-line platform can be measured according to one or more of the data such as the browsing frequency of the user opening the on-line platform, the time spent in each browsing, the ordering frequency of the user, and the like.
Since the user type in this embodiment is related to the user activity of the user on the online platform, the user type can be determined according to the user activity. For example, a user who has not placed a bill after registration may be determined as a new user, a user who has placed a bill on the online upper platform after registration may be determined as an old user, and a user who has placed a bill but has not placed a bill for a long time may be determined as a reflow user; it is also possible to determine a user who purchased member service among old users as a member user, and a user who did not purchase member service as a non-member user, etc. The user type division principle may be specifically determined according to the actual service provided by the online platform, and is not limited herein.
In an optional implementation manner of this embodiment, the method further includes the following steps:
and configuring user rewards for completing the tasks to be executed at least according to the user types.
In the optional implementation manner, after the task to be executed is configured for the user according to the user type, the user reward which can be obtained after the user completes the task to be executed can be configured, so that the enthusiasm of the user for completing the task to be executed is improved. The user reward may be determined according to characteristics of the online platform, for example, the user reward may be a member trial providing the user for a period of time without charge, or an online resource additionally allocated to the user (for example, the online platform purchasing goods may reward the user with an online resource such as a red envelope), and the like.
In some embodiments, different tasks to be performed may be configured for different user types, and different user rewards upon completion of the tasks to be performed may be configured for users of different user types. For example, for a non-member user on a take-away catering platform, the configured task to be executed may be to place N more orders, where N is greater than or equal to 1; the corresponding user reward can serve for free members trying for one month; for the member user, the configured task to be executed can be to issue an M list, wherein M is greater than or equal to 1; and the corresponding user reward may be a red pack reward, a coupon, etc.
In an optional implementation manner of this embodiment, the step of configuring, according to at least the user type, a user reward for completing the task to be performed further includes the following steps:
and configuring user rewards for completing the tasks to be executed according to the user types and the user preference data.
In this alternative implementation, user preference data may be considered in addition to the user type when configuring the user reward for completing the task to be performed. The user preference data may also be obtained by statistical analysis of behavior data of the online platform of the user, for example, the user preference data may be determined by behavior data of the user, such as searching, browsing, collecting, clicking, purchasing products operated by the online platform, and the like, and by user's preference for resources provided by the past online platform. In order to be able to incentivize the user to complete the task to be performed to a greater extent, the most appropriate user reward may be selected for the user based on the user preference data. For example, if a user of a take-out dining platform frequently clicks on a store but never purchases food, then the user's price for food that is more important can be determined from this user behavior data, and thus the user can be configured with a red envelope award for the store.
In an optional implementation manner of this embodiment, the method further includes the following steps:
and displaying the task to be executed and/or the user reward on a user page.
In this optional implementation manner, after the online platform configures the task to be executed and/or the corresponding user reward for the user according to the user type, the task to be executed and/or the user reward may be displayed on a user page, for example, after the user opens the client, the task to be executed and/or the user reward is displayed in a position where a top page is conspicuous, or is displayed in a pop-up dialog box. After seeing the task to be executed and/or the user reward, the user can execute the task according to the self requirement, and the online platform can monitor whether the user completes the task in real time.
In an optional implementation manner of this embodiment, the method further includes the following steps:
and in response to detecting the event of completing the task to be executed, binding the user reward to a user account.
In this optional implementation, the online platform may monitor the user behavior in real time, and after the task to be executed is configured for the user, the online platform may monitor whether the user completes the task to be executed according to the user behavior. And when the user finishes the task to be executed, binding the user reward corresponding to the task to be executed to the user account, and informing the user in a mode of popping up a dialog box and the like. The user can log in the own account to view and use the user reward.
Fig. 3 shows a schematic diagram of an application scenario for showing configured tasks to be performed and user rewards for a takeaway dining platform user according to an embodiment of the disclosure. As can be seen from fig. 3, the task to be executed configured for the user is "full 3 orders again", and the completion deadline countdown of the task and the prompt information of the completed task and the uncompleted task are also shown below the task to be executed that is shown again; meanwhile, the display page also displays user rewards for the tasks to be executed, including '1 month super membership' and 'quality alliance red package', and rule descriptions and the like are noted under the user rewards.
In an optional implementation of the embodiment, the user reward includes at least one of a membership reward and a red pack reward.
In this alternative implementation, the member reward may be a free trial reward for member services in the online platform. While free trials of the member service are typically on an expirable basis. The member services provided by the online platform usually have some attractive member benefits, and the user can enjoy the member benefits during the trial of the member services. The red envelope reward can directly withhold cash when the online platform consumes, so that the user can obtain products operated by the online platform at a lower price than the conventional price. In some embodiments, only the member awards may be configured for some types of users, only the red pack awards may be configured for other types of users, and both the member awards and the red pack awards may be configured for still other types of users, which may be determined according to practical situations and is not limited herein.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.
Fig. 4 shows a block diagram of a task configuration device according to an embodiment of the present disclosure, which may be implemented as part or all of an electronic device by software, hardware, or a combination of both. As shown in fig. 4, the task configuration device includes:
an acquisition module 401 configured to acquire user portrait data;
a determination module 402 configured to determine a user type from the user representation data;
a first configuration module 403 configured to configure a task to be performed according to at least the user type.
In this embodiment, the user portrait data may be obtained by analyzing the user's own attributes and user behaviors of the online platform of the internet, and is used to identify some data preferred by the user. The user behavior can be effective behavior of the user in an online platform of the internet, and comprises various operations of the online platform of the user, for example, for a business operation application platform, the user behavior comprises the behaviors of ordering, searching, collecting, browsing, clicking, evaluating, logging in and the like. The user portrait data includes, for example, the total number of orders placed, the frequency of login, the objects viewed, the objects purchased, the objects clicked, the objects evaluated, the height of evaluation, the objects collected, and the objects searched for by the user on the online platform. The disclosed embodiments may periodically generate user representation data for each user based on data such as behavior generated by the user on the online platform, which may be used to identify characteristics of the user in some or some aspects.
In some embodiments, the user type is related to the liveness of the user on the online platform, and the like. For example, the user types may include new users (e.g., users who have not placed a list after registration), old users (e.g., users who have placed a list after registration), reflow users (e.g., users who have placed a list after registration but have not placed a list for a long period of time thereafter), and so on; the old users can also comprise member users and non-member users; non-member users may in turn include active users and inactive users; reflow users may, in turn, include attrition users (e.g., users who have not singled out for more than a certain amount of time) and silence users (e.g., users who will periodically log on to an online platform for browsing, but who have not singled out a year). The activity of the user on-line platform can be measured according to one or more of the data such as the browsing frequency of the user opening the on-line platform, the time spent in each browsing, the ordering frequency of the user, and the like.
After the user type is determined from the user representation data, different tasks to be performed may be configured for users having different user types. The task to be performed may be a task that the user can complete through some user actions on the online platform, such as placing an order, evaluating, checking in, browsing certain content, and the like.
Since there are many users of the online platform, and different users have different features and different requirements, the behavior of these users on the online platform will also vary. By analyzing the user behavior of the online platform of the user over a period of time, corresponding portrait data can be generated for the user from a plurality of different aspects, and the portrait data can reflect some characteristics of the user, namely different points among different users. According to the method and the device, the user portrait data capable of reflecting different characteristics of the user are analyzed, the user is divided into different user types, and the task to be executed suitable for the user is configured for different users according to the user types, so that the service provided by the online platform for the user is more targeted, and the personalized requirements of the user can be met.
In the embodiment of the disclosure, for a user of an internet online platform, the user portrait data of the user on the internet online platform is collected, the user is divided into different user types according to the user portrait data, and different tasks to be executed are configured for different users according to the different user types. Through the above mode of the embodiment of the present disclosure, on one hand, the task to be executed of the user is configurable; on the other hand, the task to be executed configured for the user is related to the portrait data of the user, namely the task to be executed which the user prefers to accept is configured, so that the flexibility of platform operation on the Internet is improved, different requirements of different user types are considered, and the use experience of the user is improved.
In an optional implementation manner of this embodiment, as shown in fig. 5, the determining module 402 includes:
a first determination submodule 501 configured to determine user liveness from the user representation data;
a second determining submodule 502 configured to determine the user type at least according to the user activity.
In an alternative implementation of this embodiment, the user representation data may include data that identifies behavioral characteristics of the user's online platform, such as user A frequently browsing the online platform, user B frequently ordering the online platform, user C rarely opens the online platform, and so forth. User liveness, whether the user is active on the online platform, may thus be determined by the user representation data. The activity of the user on-line platform can be measured according to one or more of the data such as the browsing frequency of the user opening the on-line platform, the time spent in each browsing, the ordering frequency of the user, and the like.
Since the user type in this embodiment is related to the user activity of the user on the online platform, the user type can be determined according to the user activity. For example, a user who has not placed a bill after registration may be determined as a new user, a user who has placed a bill on the online upper platform after registration may be determined as an old user, and a user who has placed a bill but has not placed a bill for a long time may be determined as a reflow user; it is also possible to determine a user who purchased member service among old users as a member user, and a user who did not purchase member service as a non-member user, etc. The user type division principle may be specifically determined according to the actual service provided by the online platform, and is not limited herein.
In an optional implementation manner of this embodiment, the apparatus further includes:
a second configuration module configured to configure a user reward for completing the task to be performed according to at least the user type.
In the optional implementation manner, after the task to be executed is configured for the user according to the user type, the user reward which can be obtained after the user completes the task to be executed can be configured, so that the enthusiasm of the user for completing the task to be executed is improved. The user reward may be determined according to characteristics of the online platform, for example, the user reward may be a member trial providing the user for a period of time without charge, or an online resource additionally allocated to the user (for example, the online platform purchasing goods may reward the user with an online resource such as a red envelope), and the like.
In some embodiments, different tasks to be performed may be configured for different user types, and different user rewards upon completion of the tasks to be performed may be configured for users of different user types. For example, for a non-member user on a take-away catering platform, the configured task to be executed may be to place N more orders, where N is greater than or equal to 1; the corresponding user reward can serve for free members trying for one month; for the member user, the configured task to be executed can be to issue an M list, wherein M is greater than or equal to 1; and the corresponding user reward may be a red pack reward, a coupon, etc.
In an optional implementation manner of this embodiment, the second configuration module includes:
a configuration submodule configured to configure a user reward for completing the task to be performed based at least on the user type and user preference data.
In this alternative implementation, user preference data may be considered in addition to the user type when configuring the user reward for completing the task to be performed. The user preference data may also be obtained by statistical analysis of behavior data of the online platform of the user, for example, the user preference data may be determined by behavior data of the user, such as searching, browsing, collecting, clicking, purchasing products operated by the online platform, and the like, and by user's preference for resources provided by the past online platform. In order to be able to incentivize the user to complete the task to be performed to a greater extent, the most appropriate user reward may be selected for the user based on the user preference data. For example, if a user of a take-out dining platform frequently clicks on a store but never purchases food, then the user's price for food that is more important can be determined from this user behavior data, and thus the user can be configured with a red envelope award for the store.
In an optional implementation manner of this embodiment, the apparatus further includes:
a presentation module configured to present the task to be performed and/or the user reward on a user page.
In this optional implementation manner, after the online platform configures the task to be executed and/or the corresponding user reward for the user according to the user type, the task to be executed and/or the user reward may be displayed on a user page, for example, after the user opens the client, the task to be executed and/or the user reward is displayed in a position where a top page is conspicuous, or is displayed in a pop-up dialog box. After seeing the task to be executed and/or the user reward, the user can execute the task according to the self requirement, and the online platform can monitor whether the user completes the task in real time.
In an optional implementation manner of this embodiment, the apparatus further includes:
a response module configured to bind the user reward to a user account in response to detecting the event of completing the task to be performed.
In this optional implementation, the online platform may monitor the user behavior in real time, and after the task to be executed is configured for the user, the online platform may monitor whether the user completes the task to be executed according to the user behavior. And when the user finishes the task to be executed, binding the user reward corresponding to the task to be executed to the user account, and informing the user in a mode of popping up a dialog box and the like. The user can log in the own account to view and use the user reward.
The disclosed embodiment also provides an electronic device, as shown in fig. 6, including at least one processor 601; and a memory 602 communicatively coupled to the at least one processor 601; wherein the memory 602 stores instructions executable by the at least one processor 601, the instructions being executable by the at least one processor 601 to implement:
acquiring user portrait data;
determining a user type from the user representation data;
and configuring the task to be executed at least according to the user type.
Further, determining a user type from the user representation data includes:
determining user liveness from the user representation data;
determining the user type based at least on the user liveness.
Further, the one or more computer instructions are also executable by the processor to implement the method steps of:
and configuring user rewards for completing the tasks to be executed at least according to the user types.
Further, configuring a user reward for completing the task to be executed according to at least the user type, including:
and configuring user rewards for completing the tasks to be executed according to the user types and the user preference data.
Further, the one or more computer instructions are also executable by the processor to implement the method steps of:
And displaying the task to be executed and/or the user reward on a user page.
Further, the one or more computer instructions are also executable by the processor to implement the method steps of:
and in response to detecting the event of completing the task to be executed, binding the user reward to a user account.
Further, the user award includes at least one of a membership award and a bonus round.
Specifically, the processor 601 and the memory 602 may be connected by a bus or other means, and fig. 6 illustrates an example of connection by a bus. The memory 602, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The processor 601 executes various functional applications and data processing of the device by executing nonvolatile software programs, instructions and modules stored in the memory 602, that is, implements the above-described method in the embodiments of the present disclosure.
The memory 602 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store historical data of shipping network traffic, and the like. Further, the memory 602 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the electronic device optionally includes a communication component 603 and the memory 602 optionally includes memory remotely located from the processor 601, which may be connected to an external device through the communication component 603. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in the memory 602, which when executed by the one or more processors 601 perform the methods described above in the embodiments of the present disclosure.
The communication component 603 connects to an external device. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in the memory 602, which when executed by the one or more processors 601 perform the methods described above in the embodiments of the present disclosure.
The product can execute the method provided by the embodiment of the disclosure, has corresponding functional modules and beneficial effects of the execution method, and reference can be made to the method provided by the embodiment of the disclosure for technical details which are not described in detail in the embodiment.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowcharts or block diagrams may represent a module, a program segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present disclosure may be implemented by software or hardware. The units or modules described may also be provided in a processor, and the names of the units or modules do not in some cases constitute a limitation of the units or modules themselves.
As another aspect, the present disclosure also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the apparatus in the above-described embodiment; or it may be a separate computer readable storage medium not incorporated into the device. The computer readable storage medium stores one or more programs for use by one or more processors in performing the methods described in the present disclosure.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is possible without departing from the inventive concept. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Claims (10)
1. A task configuration method, comprising:
acquiring user portrait data;
determining a user type from the user representation data;
and configuring the task to be executed at least according to the user type.
2. The method of claim 1, wherein determining a user type from the user representation data comprises:
determining user liveness from the user representation data;
determining the user type based at least on the user liveness.
3. The method of claim 1, further comprising:
and configuring user rewards for completing the tasks to be executed at least according to the user types.
4. The method of claim 3, wherein configuring a user reward for completing the task to be performed based at least on the user type comprises:
and configuring user rewards for completing the tasks to be executed according to the user types and the user preference data.
5. The method according to claim 3 or 4, characterized in that the method further comprises:
and displaying the task to be executed and/or the user reward on a user page.
6. The method according to claim 3 or 4, characterized in that the method further comprises:
And in response to detecting the event of completing the task to be executed, binding the user reward to a user account.
7. The method of claim 3 or 4, wherein the user reward comprises at least one of a membership reward and a bonus award.
8. A task configuration apparatus, comprising:
an acquisition module configured to acquire user portrait data;
a determination module configured to determine a user type from the user representation data;
a first configuration module configured to configure a task to be performed according to at least the user type.
9. An electronic device comprising a memory and a processor; wherein the content of the first and second substances,
the memory is for storing one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the method steps of:
acquiring user portrait data;
determining a user type from the user representation data;
and configuring the task to be executed at least according to the user type.
10. A computer-readable storage medium having computer instructions stored thereon, wherein the computer instructions, when executed by a processor, implement the method of any one of claims 1-7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116700878A (en) * | 2023-08-03 | 2023-09-05 | 中航信移动科技有限公司 | Client interface display method, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268212A (en) * | 2014-09-23 | 2015-01-07 | 北京奇虎科技有限公司 | Internet product release method and device |
| CN107092662A (en) * | 2017-03-28 | 2017-08-25 | 阿里巴巴集团控股有限公司 | The method for pushing and device of interactive task |
| CN107622336A (en) * | 2016-07-15 | 2018-01-23 | 阿里巴巴集团控股有限公司 | Method for pushing, the apparatus and system of task |
| CN107742225A (en) * | 2017-09-18 | 2018-02-27 | 武汉市悠卡互联科技有限公司 | A kind of merchant advertisements promotion method and system for multi-platform Information Sharing |
| CN108270842A (en) * | 2017-06-09 | 2018-07-10 | 广州市动景计算机科技有限公司 | Push method, system and the server of equity task |
-
2019
- 2019-04-30 CN CN201910365028.8A patent/CN111861528A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268212A (en) * | 2014-09-23 | 2015-01-07 | 北京奇虎科技有限公司 | Internet product release method and device |
| CN107622336A (en) * | 2016-07-15 | 2018-01-23 | 阿里巴巴集团控股有限公司 | Method for pushing, the apparatus and system of task |
| CN107092662A (en) * | 2017-03-28 | 2017-08-25 | 阿里巴巴集团控股有限公司 | The method for pushing and device of interactive task |
| CN108270842A (en) * | 2017-06-09 | 2018-07-10 | 广州市动景计算机科技有限公司 | Push method, system and the server of equity task |
| CN107742225A (en) * | 2017-09-18 | 2018-02-27 | 武汉市悠卡互联科技有限公司 | A kind of merchant advertisements promotion method and system for multi-platform Information Sharing |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116700878A (en) * | 2023-08-03 | 2023-09-05 | 中航信移动科技有限公司 | Client interface display method, electronic equipment and storage medium |
| CN116700878B (en) * | 2023-08-03 | 2023-10-27 | 中航信移动科技有限公司 | Client interface display method, electronic equipment and storage medium |
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