CN117540216A

CN117540216A - Object processing method and device, electronic equipment and storage medium

Info

Publication number: CN117540216A
Application number: CN202311279696.1A
Authority: CN
Inventors: 成明
Original assignee: Beijing Dajia Internet Information Technology Co Ltd
Current assignee: Beijing Dajia Internet Information Technology Co Ltd
Priority date: 2023-09-28
Filing date: 2023-09-28
Publication date: 2024-02-09

Abstract

The disclosure relates to an object processing method, an object processing device, an electronic device and a storage medium, wherein the method comprises the following steps: determining activity progress information of each object in a first object set, wherein the first object set and a preset object have an association relation in a preset dimension, the preset dimension comprises a concerned mode dimension, a competition dimension or an activity level dimension, a second object set is determined from the first object set according to the activity progress information of each object, history matching information of each object in the second object set is determined, a third object set is determined from the second object set according to the history matching time of each object, the history matching time of each object in the third object set meets a time condition, a target object is determined from the third object set, and the target object is used for completing an activity task in cooperation with the preset object. In the embodiment of the application, the matching interaction relationship can be established through different dimensions and different objects, so that the completion of the activity is more experienced and efficient, and the good service resources are utilized as much as possible.

Description

Object processing method and device, electronic equipment and storage medium

Technical Field

The disclosure relates to the technical field of internet, and in particular relates to an object processing method, an object processing device, electronic equipment and a storage medium.

Background

With the development of mobile networks, people can choose more and more entertainment modes, and consultation and social contact are browsed on each large platform, so that consumption becomes an important component in life of people.

Platform in order to increase interaction with users, game tasks are often set, such as activities between the platform and a single user, activities between multiple users, or users and users to enhance the user's experience based on game tasks provided by the platform. However, the current users and users are based on game tasks provided by the platform, and the users interact with the same batch of users for different users, so that the attraction of the set activities to the users is greatly reduced, and platform service resources are wasted.

Disclosure of Invention

The disclosure provides an object processing method, an object processing device, electronic equipment and a storage medium, and the technical scheme of the disclosure is as follows:

according to a first aspect of an embodiment of the present disclosure, there is provided an object processing method, including:

determining activity progress information for each object in the first set of objects; the first object set and the preset object have an association relation in a preset dimension; the preset dimension comprises a concerned mode dimension, a competition dimension or an activity level dimension; the preset object corresponds to the first client;

Determining a second set of objects from the first set of objects according to the activity progress information of each object;

determining history matching information for each object in the second set of objects; the history matching time includes a history matching time;

determining a third object set from the second object set according to the history matching time of each object; the historical matching time of each object in the third object set meets the time condition;

determining a target object from the third set of objects; the target object is used for completing the activity task in cooperation with the preset object.

In some possible embodiments, before determining the activity progress information for each object in the first set of objects, further comprising:

acquiring an original object set; the original object set and the preset object have an association relation in a preset dimension;

determining the matching times of each object in the original object set in a preset time period; the duration of the activity comprises a preset time period;

and determining a first object set from the original object set according to the matching times of each object in a preset time period.

In some possible embodiments, before determining the activity progress information of each object in the first object set when the preset dimension is the attention mode dimension, the method further includes:

Acquiring an original object set; the original object set and the preset object have an association relationship in the dimension of the concerned mode;

determining the activity entrance information of each object in the original object set;

determining a first object set from the original object set according to the activity entrance information of each object;

the activity entry information for each object in the first set of objects indicates that the object has started activity.

In some possible embodiments, when the preset dimension is a mode of interest dimension or a competition dimension, the activity progress information includes activity stage information and activity prop information;

determining a second set of objects from the first set of objects based on the activity progress information for each object, comprising:

determining a second object set from the first object set according to the activity stage information and the activity prop information; the movable stage information is larger than the preset stage information, and the movable prop information is larger than the preset prop information.

In some possible embodiments, after determining the target object from the third object set, further comprising:

updating the matching times of the target object in a preset time period;

updating the history matching time of the target object;

determining history matching information based on the updated matching times and history matching time in a preset time period;

And storing history matching information.

In some possible embodiments, when the preset dimension is a attention mode dimension or a competition dimension, determining activity progress information of each object in the first object set includes:

when the first set of objects includes objects, activity progress information for each object in the first set of objects is determined.

In some possible embodiments, determining activity progress information for each object in the first set of objects includes:

when the first object set and the preset object have an association relationship in the dimension of the attention mode, and the first object set is an empty object set, determining the first object set which has the association relationship with the preset object in the dimension of competition;

and when the first object set corresponding to the competition dimension contains objects, determining activity progress information of each object in the first object set corresponding to the competition dimension.

In some possible embodiments, after determining the first object set having an association relationship with the preset object in the competition dimension, the method further includes:

when a first object set corresponding to the competition dimension is an empty object set, determining the first object set which has an association relation with a preset object in the activity level dimension; the difference between the level of the object in the first object set corresponding to the activity level dimension and the level of the preset object is within the preset difference;

Activity progress information of each object in the first object set corresponding to the activity level dimension is determined.

According to a second aspect of embodiments of the present disclosure, there is provided an object processing apparatus comprising:

a progress information determination module configured to perform determining activity progress information for each object in the first set of objects; the first object set and the preset object have an association relation in a preset dimension; the preset dimension comprises a concerned mode dimension, a competition dimension or an activity level dimension; the preset object corresponds to the first client;

a first determining module configured to perform determining a second object set from the first object set according to activity progress information of each object;

a matching information determination module configured to perform determining history matching information for each object in the second set of objects; the history matching time includes a history matching time;

a second determining module configured to perform determining a third object set from the second object set according to the history matching time of each object; the historical matching time of each object in the third object set meets the time condition;

an object determination module configured to perform determining a target object from the third object set; the target object is used for completing the activity task in cooperation with the preset object.

In some possible embodiments, the apparatus further comprises:

an object set acquisition module configured to perform acquisition of an original object set; the original object set and the preset object have an association relation in a preset dimension;

a matching number determining module configured to perform determining a number of matches of each object in the original object set within a preset period of time; the duration of the activity comprises a preset time period;

a third determining module configured to perform determining the first object set from the original object set according to the number of matches of each object within a preset period of time.

In some possible embodiments, when the preset dimension is a mode of interest dimension, the apparatus further includes:

an object set acquisition module configured to perform acquisition of an original object set; the original object set and the preset object have an association relationship in the dimension of the concerned mode;

an entrance information determination module configured to perform determining active entrance information for each object in the original object set;

a third determining module configured to perform determining a first object set from the original object set according to the activity entrance information of each object;

a first determination module configured to perform:

In some possible embodiments, the apparatus further comprises:

the updating first determining module is configured to update the matching times of the target object in a preset time period; updating the history matching time of the target object; determining history matching information based on the updated matching times and history matching time in a preset time period;

and the preservation module is configured to execute preservation of the history matching information.

In some possible embodiments, when the preset dimension is a mode of interest dimension or a competition dimension, the progress information determination module is configured to perform:

In some possible embodiments, the progress information determination module is configured to perform:

In some possible embodiments, the apparatus further comprises a fourth determination module configured to perform:

According to a third aspect of embodiments of the present disclosure, there is provided an electronic device, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute instructions to implement the method as in any of the first aspects above.

According to a fourth aspect of embodiments of the present disclosure, there is provided a computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the method of any one of the first aspects of embodiments of the present disclosure.

According to a fifth aspect of embodiments of the present disclosure, there is provided a computer program product comprising a computer program stored in a readable storage medium, the computer program being read from the readable storage medium by at least one processor of the computer device and executed, such that the computer device performs the method of any one of the first aspects of embodiments of the present disclosure.

The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:

determining activity progress information of each object in a first object set, wherein the first object set and a preset object have an association relation in a preset dimension, the preset dimension comprises a concerned mode dimension, a competition dimension or an activity level dimension, the preset object corresponds to a first client, a second object set is determined from the first object set according to the activity progress information of each object, history matching information of each object in the second object set is determined, the history matching time comprises history matching time, a third object set is determined from the second object set according to the history matching time of each object, the history matching time of each object in the third object set meets a time condition, a target object is determined from the third object set, and the target object is used for completing an activity task in cooperation with the preset object. In the embodiment of the application, the matching interaction relationship can be established through different dimensions and different objects, so that the completion of the activity is more experienced and efficient, and the good service resources are utilized as much as possible.

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

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram illustrating an application environment for an object processing method, according to an example embodiment;

FIG. 2 is a flowchart illustrating a method of object processing according to an exemplary embodiment;

FIG. 3 is a flowchart illustrating one method of determining a first set of objects according to an exemplary embodiment;

FIG. 4 is a second flowchart illustrating a method of determining a first set of objects, according to an example embodiment;

FIG. 5 is a block diagram of an object processing apparatus according to an exemplary embodiment;

FIG. 6 is a block diagram of an electronic device for object processing, according to an example embodiment.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar first objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. 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.

It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for presentation, analyzed data, etc.) related to the present disclosure are information and data authorized by the user or sufficiently authorized by each party.

Referring to fig. 1, fig. 1 is a schematic diagram illustrating an application environment of an object processing method according to an exemplary embodiment, and as shown in fig. 1, the application environment may include a server 011, a first client 012, and other clients 013.

In some possible embodiments, the server 011 may include a stand-alone physical server, or may be a server cluster or a distributed system formed by a plurality of physical servers, or may be a cloud server that provides a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a network service, cloud audio recognition model training, a middleware service, a domain name service, a security service, a CDN (Content Delivery Network, a content delivery network), and basic cloud computing services such as big data and an artificial intelligence platform. Operating systems running on the server may include, but are not limited to, android systems, IOS systems, linux, windows, unix, and the like.

In some possible embodiments, the first client 012 and other clients 013 described above may include, but are not limited to, smart phones, desktop computers, tablet computers, notebook computers, smart speakers, digital assistants, augmented reality (augmented reality, AR)/Virtual Reality (VR) devices, smart wearable devices, and the like types of clients. Or may be software running on the client, such as an application, applet, etc. Alternatively, the operating system running on the client may include, but is not limited to, an android system, an IOS system, linux, windows, unix, and the like.

In some possible embodiments, the first client 012 determines activity progress information of each object in the first object set, where the first object set and the preset object have an association relationship in a preset dimension, where the preset dimension includes a focus mode dimension, a competition dimension, or an activity level dimension, where the preset object corresponds to the first client, determines a second object set from the first object set according to the activity progress information of each object, determines history matching information of each object in the second object set, where the history matching time includes history matching time, determines a third object set from the second object set according to the history matching time of each object, where the history matching time of each object in the third object set satisfies a time condition, determines a target object from the third object set, and where the target object is used to complete an activity task in cooperation with the preset object. In the embodiment of the application, the matching interaction relationship can be established through different dimensions and different objects, so that the completion of the activity is more experienced and efficient, and the good service resources are utilized as much as possible.

In some possible embodiments, the first client 012 and the other clients 013 may be connected to the server 011 via a wired link, or may be connected via a wireless link.

In an exemplary embodiment, the client, the server and the database corresponding to the server may be node devices in the blockchain system, and may share the acquired and generated information to other node devices in the blockchain system, so as to implement information sharing between multiple node devices. The plurality of node devices in the blockchain system can be configured with the same blockchain, the blockchain consists of a plurality of blocks, and the blocks adjacent to each other in front and back have an association relationship, so that the data in any block can be detected through the next block when being tampered, thereby avoiding the data in the blockchain from being tampered, and ensuring the safety and reliability of the data in the blockchain.

Fig. 2 is a flowchart of an object processing method according to an exemplary embodiment, where, as shown in fig. 2, the object processing method may be applied to a server, or may be applied to other node devices, such as a client, and the method includes at least the following steps S201 to S209, where the description is given below by taking the client as an example:

In step S201, activity progress information of each object in the first object set is determined; the first object set and the preset object have an association relation in a preset dimension; the preset dimension comprises a concerned mode dimension, a competition dimension or an activity level dimension; the preset object corresponds to the first client.

In this embodiment, the execution object of steps S201 to S209 and related embodiments is the first client. Alternatively, the first client may install a preset application program or the first client may access a preset web page, where a preset game activity is set on the preset application program or the preset web page, and the development of the preset game activity is related to steps S201-S209 and related embodiments. Alternatively, the preset game activity may be a game in which competing elements exist, or may be a game in which other elements exist.

In an alternative embodiment, taking a preset application as an example, the preset object may be an account identifier of the preset application on the first client. The objects in the first set of objects may be account numbers of preset applications in other clients.

Because the embodiment of the application is to finally select the target object from the objects related to the preset object to perform the cooperation completion of the task activities, the first client can determine the first object set related to the preset object and further determine the target object according to some characteristics of the objects in the first object set.

In this embodiment, the objects in the first object set and the preset objects are related, and the related may be specifically reflected in the preset dimension. For example, the objects in the first object set may have an association relationship with the preset object in a focus mode dimension, a competition dimension, or an activity level dimension. Or, the objects in the first object set may have an association relationship with the preset object in a plurality of dimensions in the attention mode dimension, the competition dimension or the activity level dimension, for example, the objects in the first object set may have an association relationship with the preset object in the attention mode dimension and the competition dimension. Or, for example, the objects in the first object set may have an association relationship with the preset object in a focus mode dimension, a competition dimension and an activity level dimension.

In some possible embodiments, the association relationship between each object in the first object set and the preset object is the same, for example, the association relationship exists in the dimension of the attention mode. In other possible embodiments, the first object set has different association relationships between different objects and preset objects, some objects and preset objects have association relationships in the dimension of the attention mode, and other objects and preset objects have association relationships in the dimension of competition.

Optionally, the association between the object in the first object set and the preset object in the attention mode dimension may include: the objects in the first object set and the preset objects are in a relationship of mutual interest, i.e. the objects in the first object set and the preset objects are in a friend relationship. Or, a dialogue interaction is performed between the object in the first object set and the preset object, and so on.

Optionally, the association between the object in the first object set and the preset object in the competing dimension may include: the objects in the first object set are competitors in a preset game activity and the preset objects, or the objects in the first object set "steal" virtual materials of the preset objects in the game activity in the preset game activity, and the like.

Optionally, the association between the objects in the first object set and the preset object in the activity level dimension may include: the level difference between the activity level of the object in the first object set in the preset game activity and the activity level of the preset object in the game activity is within a preset difference, for example, the level difference between the activity level of the object in the first object set in the preset game activity and the activity level of the preset object in the game activity is within two levels.

Since it is mentioned above that the embodiments of the present application are to select a target object from objects related to a preset object to perform matching completion of a task activity in a game, if the game activity includes a competition element, in order not to make a certain object always matched to compete with other objects, so that virtual materials in the game activity are difficult to accumulate, an embodiment of how to determine the first object set may be further included before determining activity progress information of each object in the first object set.

FIG. 3 is a flowchart illustrating a method of determining a first set of objects, as shown in FIG. 3, according to an exemplary embodiment, including:

in step S301, an original object set is acquired; the original object set and the preset object have an association relation in a preset dimension.

In this embodiment of the present application, the first client may obtain an original object set, where an association relationship exists between an object in the original object set and a preset object in at least one dimension of a focused mode dimension, a competitive dimension, and an activity level dimension.

In step S303, the number of matches of each object in the original object set in a preset period of time is determined; the duration of the activity comprises a preset period of time.

In the embodiment of the present application, the duration of the activity refers to the time from the start to the end of the game activity. The preset time period may refer to the duration of the activity and may also refer to a period of time in the duration of the activity. For example, assuming that the duration of the activity is 10 days, when the preset time period is a period of time, such as 3 days, in the duration of the activity, the preset time period is 3 days nearby from the current time.

The first client may determine the number of matches of each object in the original object set for the duration of the activity assuming that the preset time period is the duration of the activity, and determine the number of matches of each object in the original object set for the preset time period by the first client assuming that the duration of the activity is 10 days and currently 7 days.

In step S305, a first object set is determined from the original object set according to the number of matches of each object within a preset period of time.

In this embodiment of the present application, the first client may obtain a preset matching number, and determine the first object set from the original object set according to the matching number and the preset matching number of each object in the preset time period.

Specifically, the first client may acquire, from the original object set, an object whose matching number of times in the preset time period is less than or equal to the preset matching number of times, to form a first object set. Therefore, the objects in the first object set do not participate in too much matching in a short time, so that the objects in the first object set can accumulate virtual materials in game activities to a certain extent, and preparation is made for completing activity tasks by matching with the follow-up better preset objects.

The above mainly describes how the first object set is determined from the original object set in the matching times dimension. However, in the case where the preset dimension is a focus mode dimension, for example, when the object in the original object set and the preset object are in a relationship of focus with each other, there may be some objects in the original object set that do not start the game activity, which results in the possibility that the selected final target object does not start the game activity.

FIG. 4 is a second flowchart illustrating a method of determining a first set of objects, as shown in FIG. 4, according to an exemplary embodiment, comprising:

in step S401, an original object set is acquired; the original object set and the preset object have an association relationship in the dimension of the attention mode.

In this embodiment of the present application, the first client may acquire an original object set, where an association relationship exists between an object in the original object set and a preset object in a dimension of a focusing mode.

In step S403, the activity entrance information of each object in the original object set is determined.

Alternatively, the first client may determine the active entry information for each object in the original set of objects. Specifically, the first client may obtain, according to the account identifier corresponding to each object in the original object set, activity entry information of each object from the information storage area corresponding to the game activity.

In step S405, a first object set is determined from the original object set according to the activity entrance information of each object; the activity entry information for each object in the first set of objects indicates that the object has started activity.

Alternatively, the first client may group the original objects together, and the event entry information indicates that the objects that have opened the game event constitute the first group of objects.

In an alternative embodiment, when there is an association relationship between the objects in the original object set and the preset object in the attention mode dimension, the first client may determine the first object set from the original object set by performing the embodiment corresponding to fig. 3 and the embodiment corresponding to fig. 4, that is, the first client may determine the first object set by performing the matching times dimension and the dimension of whether the activity has been started. Wherein, the sequence of the two dimensions is not specified, and both dimensions are possible.

In step S203, a second object set is determined from the first object set according to the activity progress information of each object.

In the embodiment of the application, the activity progress information may include activity stage information and activity prop information. Alternatively, the activity phase information may be represented by an activity level, or the activity phase information may be represented by a phase of an activity operation (e.g., a first phase, a second phase, a third phase … …). Alternatively, the event property information may be represented by an amount of virtual material in the event, such as virtual money, virtual event money, and so forth.

In the case that the preset dimension is at least one of a focus mode dimension or a competition dimension, the first client determining the second object set from the first object set according to the activity progress information of each object may include: when the activity stage information of the first object and some of the objects is greater than the preset stage information and the activity prop information is greater than the preset prop information, the objects can be determined as the objects in the second object set.

When the preset dimension is the activity level dimension, the level difference between the activity level of the object in the first object set in the preset game activity and the activity level of the preset object in the game activity is within the preset difference, that is, the condition that the three-dimensional activity level of the object in the first object set meets the requirement exists, so that the first client can determine the second object set from the first object set according to the activity prop information in the activity progress information of each object. Specifically, the first client may group the first object set, and the objects with the active prop information greater than the preset prop information form the second object set.

In step S205, history matching information of each object in the second object set is determined; the history matching time includes a history matching time.

In the embodiment of the application, the first client determines history matching information of each object in the second object set.

Optionally, the history matching information includes whether each object in the second object set is matched, and if not, the history matching information is null. If so, the history matching time of each matched can be obtained.

In an alternative embodiment, before determining the history matching information of each object in the second object set, the number of objects in the second object set may be further determined, and if the number of objects in the second object set is greater than the preset number, the preset number of objects is randomly determined from the second object set, and the history matching information of each object in the preset number of objects is determined. In this way, the computing resources consumed by the first client in processing information are reduced by reducing the number of object sets.

In step S207, a third object set is determined from the second object set according to the history matching time of each object; the historical matching time for each object in the third set of objects satisfies the time condition.

In this embodiment of the present application, the first client may group the second object set, and the objects whose history matching information satisfies the time condition form the third object set.

In some possible embodiments, the historical matching time is the time of the last matching, and assuming that the time condition is that the time of the last matching is not more than 24 hours from the current time, the objects of the last matching is not more than 24 hours from the current time may be combined into the third object set.

In step S209, a target object is determined from the third object set; the target object is used for completing the activity task in cooperation with the preset object.

In this embodiment of the present application, the number of target objects may be determined according to a specific setting condition of a game activity, if multiple competitors compete, the number of target objects exceeds one, and if a single competitor competes, the number of target objects is one.

Optionally, after determining the target object from the third object set, a task instruction may be sent to the server, to instruct the server to complete the active task in cooperation with the preset object and the target object.

In some possible embodiments, after the preset object and the target object complete the activity task, the first client or the server may update the matching times of the target object in the preset time period, update the history matching time of the target object, determine the history matching information based on the updated matching times and the history matching time in the preset time period, and store the history matching information of the target object.

Similarly, the first client or the server may update the matching times of the preset object in the preset time period, update the history matching time of the preset object, determine the history matching information based on the updated matching times and the updated history matching time in the preset time period, and store the history matching information of the preset object.

In the case that the preset dimension is the attention mode dimension and/or the competition dimension, although the first client determines the first object set having the association relationship with the preset object in the preset dimension, the first object set may be empty, that is, the preset object does not have the object of the related attention, or the preset object does not have the object of the competition, at this time, the first client may not perform the determination of the second object set from the first object set.

Based on this, in a possible embodiment, in the case that the preset dimension is the attention mode dimension and/or the competition dimension, when the first object set contains the objects, the activity progress information of each object in the first object set may be determined, so that the second object set may be determined from the first object set according to the activity progress information of each object later.

In another optional embodiment, when the first object set and the preset object have an association relationship in the attention mode dimension, and the first object set is an empty object set, the first client may determine the first object set having an association relationship with the preset object in the contention dimension, and when the first object set corresponding to the contention dimension includes an object, determine activity progress information of each object in the first object set corresponding to the contention dimension, so that the second object set may be determined from the first object set corresponding to the contention dimension according to the activity progress information of each object.

In another optional embodiment, when the first object set corresponding to the contention dimension is a null object set, determining the first object set having an association relationship with the preset object in the activity level dimension, and determining activity progress information of each object in the first object set corresponding to the activity level dimension, so that the second object set can be determined from the first object set corresponding to the activity level dimension according to the activity progress information of each object. The difference between the level of the object in the first object set corresponding to the activity level dimension and the level of the preset object is within the preset difference.

Example one:

in the first step, an original object set with association relation between the object and the dimension of the concerned mode is obtained and preset.

In the second step, the activity entrance information of each object in the original object set corresponding to the attention mode dimension is determined.

In the third step, an alternative object set corresponding to the attention mode dimension is determined from the original object set corresponding to the attention mode dimension according to the activity entrance information of each object; the activity entry information for each object in the candidate object set corresponding to the attention mode dimension indicates that the object has started activity.

Wherein the activity entry information indicates that the object has started an activity and may also be considered that the game activity of the object has been initialized, the first client may invoke a bloom filter to determine whether each object in the original set of objects corresponding to the attention mode dimension has been initialized.

In the fourth step, the matching times of each object in the candidate object set corresponding to the dimension of the concerned mode in a preset time period are determined; the duration of the activity comprises a preset period of time.

In the fifth step, a first object set corresponding to the attention mode dimension is determined from the candidate object sets corresponding to the attention mode dimension according to the matching times of each object in the preset time period.

In the sixth step, determining whether the first object set corresponding to the dimension of the concerned mode contains an object, and if so, executing the seventh step; otherwise, step eleven is executed.

In step seven, a second object set corresponding to the attention mode dimension is determined from the first object set corresponding to the attention mode dimension according to the activity progress information of each object.

In the eighth step, determining history matching information of each object in the second object set corresponding to the attention mode dimension; the history matching time includes a history matching time.

In step nine, determining a third object set corresponding to the attention mode dimension from the second object set corresponding to the attention mode dimension according to the history matching time of each object; the historical matching time of each object in the third object set corresponding to the attention mode dimension meets the time condition.

In step ten, determining a target object from a third object set corresponding to the attention mode dimension; the target object is used for completing an activity task in cooperation with the preset object; the step twenty-eight is performed.

In step eleven, determining that the first object set corresponding to the attention mode dimension is an empty object set, and determining an original object set having an association relationship with the preset object in the competition dimension.

In step twelve, determining the matching times of each object in the original object set corresponding to the competition dimension in a preset time period; the duration of the activity comprises a preset period of time.

In step thirteenth, a first object set corresponding to the competing dimension is determined from the original object set corresponding to the competing dimension according to the matching times of each object in the preset time period.

In step fourteen, determining whether the first object set corresponding to the competition dimension includes an object, if yes, executing step fifteen; otherwise, step nineteenth is performed.

In step fifteen, a second set of objects corresponding to the competing dimension is determined from the first set of objects corresponding to the competing dimension according to the activity progress information of each object.

In step sixteen, determining history matching information for each object in the second set of objects corresponding to the competing dimension; the history matching time includes a history matching time.

In seventeen, determining a third object set corresponding to the competition dimension from the second object set corresponding to the competition dimension according to the history matching time of each object; the historical matching time of each object in the third object set corresponding to the competing dimension satisfies the time condition.

In step eighteen, determining a target object from a third object set corresponding to the competing dimension; the target object is used for completing an activity task in cooperation with the preset object; the step twenty-eight is performed.

In the step ninety, determining that a first object set corresponding to the competition dimension is an empty object set, and determining an original object set with an association relationship with a preset object in the activity level dimension.

In step twenty, determining the matching times of each object in the original object set corresponding to the activity level dimension in a preset time period; the duration of the activity comprises a preset period of time.

In step twenty-one, a first object set corresponding to the activity level dimension is determined from the original object set corresponding to the activity level dimension according to the matching times of each object in the preset time period.

In the twenty-two steps, determining whether a first object set corresponding to the activity level dimension contains an object, and if so, executing the twenty-three steps; otherwise, executing twenty-seven steps.

In the twenty third step, a second object set corresponding to the activity level dimension is determined from the first object set corresponding to the activity level dimension according to the activity progress information of each object.

In the twenty-fourth step, determining history matching information of each object in the second object set corresponding to the activity level dimension; the history matching time includes a history matching time.

In the twenty-fifth step, determining a third object set corresponding to the activity level dimension from the second object set corresponding to the activity level dimension according to the history matching time of each object; the historical matching time of each object in the third object set corresponding to the activity level dimension satisfies the time condition.

In step twenty-six, determining a target object from a third object set corresponding to the activity level dimension; the target object is used for completing an activity task in cooperation with the preset object; the step twenty-eight is performed.

In the twenty-seventh step, a target object is selected from a preset object pool, and the target object is used for completing an activity task in cooperation with the preset object, and the twenty-eighth step is executed.

In the twenty-eighth step, the matching times of the target object in the preset time period are updated, the history matching time of the target object is updated, the history matching information is determined based on the updated matching times and the updated history matching time in the preset time period, and the history matching information of the target object is stored.

In step twenty-ninth, the matching times of the preset object in the preset time period are updated, the history matching time of the preset object is updated, the history matching information is determined based on the updated matching times and the updated history matching time in the preset time period, and the history matching information of the preset object is stored.

In step thirty, after the next matching timing comes, the actions of step one to step twenty-nine are performed.

FIG. 5 is a block diagram of an object processing apparatus according to an example embodiment. The device has the function of realizing the data processing method in the method embodiment, and the function can be realized by hardware or can be realized by executing corresponding software by hardware. Referring to fig. 5, the apparatus includes:

A progress information determination module 501 configured to perform determining activity progress information for each object in the first set of objects; the first object set and the preset object have an association relation in a preset dimension; the preset dimension comprises a concerned mode dimension, a competition dimension or an activity level dimension; the preset object corresponds to the first client;

a first determining module 502 configured to perform determining a second object set from the first object set according to the activity progress information of each object;

a matching information determination module 503 configured to perform a determination of history matching information for each object in the second set of objects; the history matching time includes a history matching time;

a second determination module 504 configured to perform determining a third set of objects from the second set of objects according to the historical matching times of each object; the historical matching time of each object in the third object set meets the time condition;

an object determination module 505 configured to perform a determination of a target object from the third set of objects; the target object is used for completing the activity task in cooperation with the preset object.

In some possible embodiments, the apparatus further comprises:

A first determination module configured to perform:

In some possible embodiments, the apparatus further comprises:

It should be noted that, in the apparatus provided in the foregoing embodiment, when implementing the functions thereof, only the division of the foregoing functional modules is used as an example, in practical application, the foregoing functional allocation may be implemented by different functional modules, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the apparatus and the method embodiments provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the apparatus and the method embodiments are detailed in the method embodiments and are not repeated herein.

Fig. 6 is a block diagram illustrating an apparatus 3000 for object processing according to an example embodiment. For example, apparatus 3000 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, or the like.

Referring to fig. 6, the apparatus 3000 may include one or more of the following components: a processing component 3002, a memory 3004, a power component 3006, a multimedia component 3008, an audio component 3010, an input/output (I/O) interface 3012, a sensor component 3014, and a communications component 3016.

The processing component 3002 generally controls overall operations of the device 3000, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing assembly 3002 may include one or more processors 3020 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 3002 may include one or more modules to facilitate interactions between the processing component 3002 and other components. For example, the processing component 3002 may include a multimedia module to facilitate interaction between the multimedia component 3008 and the processing component 3002.

The memory 3004 is configured to store various types of data to support operations at the device 3000. Examples of such data include instructions for any application or method operating on device 3000, contact data, phonebook data, messages, pictures, videos, and the like. The memory 3004 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

The power supply assembly 3006 provides power to the various components of the device 3000. The power supply components 3006 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 3000.

The multimedia component 3008 includes a screen between the device 3000 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia assembly 3008 includes a front camera and/or a rear camera. The front camera and/or the rear camera may receive external multimedia data when the device 3000 is in an operational mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 3010 is configured to output and/or input audio signals. For example, audio component 3010 includes a Microphone (MIC) configured to receive external audio signals when device 3000 is in an operational mode, such as a call mode, a recording mode, and a speech recognition mode. The received audio signals may be further stored in the memory 3004 or transmitted via the communication component 3016. In some embodiments, the audio component 3010 further comprises a speaker for outputting audio signals.

The I/O interface 3012 provides an interface between the processing component 3002 and a peripheral interface module, which may be a keyboard, click wheel, button, or the like. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.

The sensor assembly 3014 includes one or more sensors for providing status assessment of various aspects of the device 3000. For example, sensor assembly 3014 may detect the on/off state of device 3000, the relative positioning of the components, such as the display and keypad of device 3000, sensor assembly 3014 may also detect the change in position of device 3000 or a component of device 3000, the presence or absence of user contact with device 3000, the orientation or acceleration/deceleration of device 3000, and the change in temperature of device 3000. The sensor assembly 3014 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. The sensor assembly 3014 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 3014 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 3016 is configured to facilitate wired or wireless communication between the apparatus 3000 and other devices. The device 3000 may access a wireless network based on a communication standard, such as WiFi, an operator network (e.g., 2G, 3G, 4G, or 5G), or a combination thereof. In one exemplary embodiment, the communication component 3016 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component 3016 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 3000 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.

Embodiments of the present invention also provide a computer readable storage medium that may be provided in an electronic device to store at least one instruction or at least one program for implementing an object processing method, where the at least one instruction or the at least one program is loaded and executed by the processor to implement the object processing method provided in the above method embodiments.

Embodiments of the present invention also provide a computer program product comprising a computer program stored in a readable storage medium, from which at least one processor of the computer device reads and executes the computer program, causing the computer device to perform the method of any of the first aspects of the embodiments of the present disclosure.

It should be noted that: the sequence of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments in part.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.

Claims

1. An object processing method, applied to a first client, comprising:

determining activity progress information for each object in the first set of objects; the first object set and the preset object have an association relationship in a preset dimension; the preset dimension comprises a concerned mode dimension, a competition dimension or an activity level dimension; the preset object corresponds to the first client;

determining a second object set from the first object set according to the activity progress information of each object;

determining history matching information for each object in the second set of objects; the history matching time comprises history matching time;

Determining a third object set from the second object set according to the history matching time of each object; the historical matching time of each object in the third object set meets a time condition;

determining a target object from the third set of objects; the target object is used for being matched with the preset object to complete an activity task.

2. The method of object processing according to claim 1, wherein before determining the activity progress information of each object in the first object set, further comprising:

acquiring an original object set; the original object set and the preset object have an association relationship in the preset dimension;

determining the matching times of each object in the original object set in a preset time period; the duration of the activity comprises the preset time period;

and determining the first object set from the original object set according to the matching times of each object in a preset time period.

3. The method according to claim 1, wherein before determining the activity progress information of each object in the first object set if the preset dimension is the attention mode dimension, further comprising:

determining active entrance information of each object in the original object set;

determining the first object set from the original object set according to the activity entrance information of each object;

the activity entry information for each object in the first set of objects indicates that the object has been active.

4. The object processing method according to claim 1, wherein the activity progress information includes activity stage information and activity prop information in a case where the preset dimension is the attention mode dimension or the competition dimension;

said determining a second set of objects from said first set of objects based on said activity progress information for each object comprises:

5. The method according to any one of claims 1 to 4, wherein after determining the target object from the third object set, further comprising:

Updating the matching times of the target object in a preset time period;

updating the history matching time of the target object;

determining the history matching information based on the updated matching times and history matching time in the preset time period;

and storing the history matching information.

6. The method according to claim 1, wherein when the preset dimension is the attention mode dimension or the competition dimension, the determining activity progress information of each object in the first object set includes:

7. The object processing method according to claim 1, wherein the determining activity progress information of each object in the first object set includes:

when the first object set and the preset object have an association relationship in the dimension of the concerned mode, and the first object set is an empty object set, determining the first object set which has an association relationship with the preset object in the competition dimension;

8. The method according to claim 7, further comprising, after the determining the first object set having the association relationship with the preset object in the competing dimension:

when the first object set corresponding to the competition dimension is an empty object set, determining the first object set which has an association relation with the preset object in the activity level dimension; the difference between the level of the object in the first object set corresponding to the activity level dimension and the level of the preset object is within a preset difference;

and determining activity progress information of each object in the first object set corresponding to the activity level dimension.

9. An object processing apparatus, comprising:

a progress information determination module configured to perform determining activity progress information for each object in the first set of objects; the first object set and the preset object have an association relationship in a preset dimension; the preset dimension comprises a concerned mode dimension, a competition dimension or an activity level dimension; the preset object corresponds to the first client;

a first determining module configured to perform determining a second object set from the first object set according to the activity progress information of each object;

A matching information determination module configured to perform a determination of history matching information for each object in the second set of objects; the history matching time comprises history matching time;

a second determining module configured to perform determining a third object set from the second object set according to the historic matching time of each object; the historical matching time of each object in the third object set meets a time condition;

an object determination module configured to perform a determination of a target object from the third set of objects; the target object is used for being matched with the preset object to complete an activity task.

10. An electronic device, comprising:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the object processing method of any of claims 1 to 8.

11. A computer readable storage medium, characterized in that instructions in the computer readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the object processing method of any one of claims 1 to 8.