CN118233851B - 5G message push task management system, method, equipment and medium - Google Patents
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Abstract
The invention relates to the technical field of task management, and discloses a 5G message pushing task management system, a method, equipment and a medium, wherein the system comprises a behavior preference generation module, a social feature extraction module, a pushing task generation module, a task ordering module, a behavior change acquisition module, a task priority adjustment module and a message pushing module, social features are extracted according to the acquired historical behavior data of a target user, and then the user preference of the target user is generated, generating a 5G message pushing task according to user preference, carrying out priority sequencing on the 5G message pushing task to obtain task priority, carrying out primary message pushing on a target user according to the task priority, collecting user behavior change of the target user, dynamically adjusting the task priority according to the user behavior change and the user preference, carrying out message pushing on the target user according to the dynamically adjusted task priority, and improving pushing accuracy of the 5G message pushing.
Description
Technical Field
The present invention relates to the field of task management technologies, and in particular, to a system, a method, an apparatus, and a medium for managing a task pushed by a 5G message.
Background
In the current age background of information explosion, users are faced with massive information and service choices, and also with information overload and scarce attention, while users' attention is a limited resource, which is more prone to focusing on content related and interesting to themselves. In such a case, accurate pushing of the 5G message is particularly necessary, which is of great importance to the user experience.
At present, a fixed pushing strategy, such as timing pushing or a pushing strategy based on simple rules, is adopted, the pushing strategy cannot be adjusted according to personalized demands of users and real-time situations, and meanwhile, a real-time user feedback and optimization mechanism is lacked, behavior data and feedback information of the users cannot be timely obtained, and the pushing strategy and content cannot be timely adjusted, so that the pushing effect cannot be continuously optimized.
Disclosure of Invention
The invention provides a 5G message pushing task management system, a method, equipment and a medium, which mainly aim to solve the problem of lower pushing accuracy of 5G message pushing.
In order to achieve the above objective, the present invention provides a 5G message push task management system, which is characterized in that the system includes a behavior preference generating module, a social feature extracting module, a push task generating module, a task ordering module, a behavior change collecting module, a task priority adjusting module, and a message push module, wherein:
The behavior preference generation module is used for collecting historical behavior data of a target user and generating behavior preference of the target user according to the historical behavior data;
the social feature extraction module is used for extracting social features of the behavior preference;
The pushing task generating module is used for generating user preferences of the target user according to the social characteristics and generating a 5G message pushing task according to the user preferences;
The task ordering module is configured to order the priorities of the 5G message pushing tasks by using a preset ordering algorithm, so as to obtain task priorities of the 5G message pushing tasks, where the preset ordering algorithm is: Wherein, Is a task priority index of the 5G message push task,Is the total number of task indexes corresponding to the 5G message pushing task,Is a task index identifier corresponding to the 5G message pushing task,Is that the 5G message pushing task is at the firstThe index weight of each task index,Is that the 5G message pushing task is at the firstScores on the individual task indicators;
The behavior change acquisition module is used for carrying out primary message pushing on the target user according to the task priority and acquiring user behavior change of the target user according to a pushing result of the primary message pushing;
The task priority adjustment module is used for dynamically adjusting the task priority according to the user behavior change and the user preference;
And the message pushing module is used for pushing the message to the target user according to the task priority after the dynamic adjustment.
Optionally, the behavior preference generating module, when generating the behavior preference of the target user according to the historical behavior data, includes:
performing data cleaning on the historical behavior data, and performing behavior feature extraction on the historical behavior data after data cleaning to obtain behavior features of the target user;
generating a user portrait of the target user according to the behavior characteristics;
and generating behavior preference of the target user according to the user portrait.
Optionally, the social feature extraction module, when performing extracting the social feature of the behavior preference, includes:
carrying out social circle analysis on the target user according to the behavior preference to obtain a social influence index and a social liveness index of the target user;
generating social interaction frequency and social relationship strength of the target user;
generating a social relationship density index of the target user according to the social interaction frequency and the social relationship strength;
And collecting the social influence index, the social liveness index and the social relationship density index as social characteristics of the target user.
Optionally, the social feature extraction module, when performing social circle analysis on the target user according to the behavior preference to obtain a social influence index and a social liveness index of the target user, includes:
And carrying out social circle analysis on the target user by using a preset liveness algorithm and the behavior preference to obtain a social liveness index of the target user, wherein the preset liveness algorithm is as follows: Wherein, Is the social liveness index of the target user,Is the number of posts by the target user,Is the number of comments of the target user,Is the number of praise times of the target user,Is the number of shares of the target user,、、AndThe weight corresponding to the posting times, comment times, praise times and sharing times is respectively adopted.
Optionally, the push task generating module, when executing the generating of the user preference of the target user according to the social feature, includes:
user group division is carried out on the target user according to the social characteristics, and a social circle of the target user is obtained;
Performing deep matching on the interest tag corresponding to the social circle and the social feature to obtain the interest tag of the social feature;
And generating the user preference of the target user according to the interest tag.
Optionally, the push task generating module, when executing the push task for generating the 5G message according to the user preference, includes:
Generating matching content of the target user according to the user preference;
Performing A/B test distribution on the matching content to obtain grouping content of the matching content;
And generating a 5G message pushing task of the target user according to the grouping content and preset pushing time.
Optionally, the behavior change collection module, when performing primary message pushing on the target user according to the task priority and collecting user behavior change of the target user according to a pushing result of the primary message pushing, includes:
generating an event queue of the target user according to the task priority;
performing primary message pushing on the target user according to the pushing content corresponding to the primary event in the event queue;
collecting clicking behaviors, browsing behaviors and purchasing behaviors of the target user according to the pushing results of the initial message pushing;
and determining the user behavior change of the target user according to the clicking behavior, the browsing behavior and the purchasing behavior.
In order to solve the above problems, the present invention further provides a 5G message push task management method, where the method includes:
Collecting historical behavior data of a target user, and generating behavior preference of the target user according to the historical behavior data;
Extracting social characteristics of the behavior preferences;
generating user preferences of the target user according to the social characteristics, and generating a 5G message pushing task according to the user preferences;
And carrying out priority ranking on the 5G message pushing task by using a preset ranking algorithm to obtain the task priority of the 5G message pushing task, wherein the preset ranking algorithm is as follows: Wherein, Is a task priority index of the 5G message push task,Is the total number of task indexes corresponding to the 5G message pushing task,Is a task index identifier corresponding to the 5G message pushing task,Is that the 5G message pushing task is at the firstThe index weight of each task index,Is that the 5G message pushing task is at the firstScores on the individual task indicators;
Performing primary message pushing on the target user according to the task priority, and acquiring user behavior change of the target user according to a pushing result of the primary message pushing;
Dynamically adjusting the task priority according to the user behavior change and the user preference;
and pushing the message to the target user according to the task priority after the dynamic adjustment.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
At least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the 5G message push task management method described above.
In order to solve the above-mentioned problems, the present invention also provides a storage medium having stored therein at least one computer program that is executed by a processor in an electronic device to implement the above-mentioned 5G message push task management method.
According to the method, more personalized message pushing can be realized by collecting historical behavior data and social characteristics of a target user and pushing tasks generated according to user preferences, task priority is dynamically adjusted according to user behavior change and preferences, and interests and preference change of the user can be better adapted, so that pushed contents are more in line with current demands of the user, the preset ordering algorithm is utilized to order the pushing tasks in priority, related contents can be selectively pushed to the user according to the demands and interests of the user, the ordering algorithm can more accurately determine the pushing priority according to different task indexes and weights, meanwhile, user behavior change is collected according to pushing results of primary message pushing, feedback and preference of the user can be known in real time, pushing strategies can be timely adjusted based on the feedback information, and pushing accuracy of 5G message pushing is further improved.
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FIG. 1 is a system architecture diagram of a 5G message push task management system according to an embodiment of the present invention;
Fig. 2 is a flow chart of a 5G message push task management method according to an embodiment of the present invention;
Fig. 3 is a schematic structural diagram of an electronic device implementing the 5G message push task management method according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. 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.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in embodiments of the present invention, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, the "plurality" typically includes at least two.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (stated condition or event), depending on the context.
In addition, the sequence of steps in the method embodiments described below is only an example and is not strictly limited.
In practice, the server device deployed by the 5G message push task management system may be composed of one or more devices. The 5G message push task management system may be implemented as: service instance, virtual machine, hardware device. For example, the 5G message push task management system may be implemented as a service instance deployed on one or more devices in a cloud node. Briefly, the 5G message push task management system may be understood as a software deployed on a cloud node, for providing a 5G message push task management system for each user side. Or the 5G message push task management system may also be implemented as a virtual machine deployed on one or more devices in the cloud node. The virtual machine is provided with application software for managing each user side. Or the 5G message pushing task management system can also be realized as a server side formed by a plurality of hardware devices of the same or different types, and one or more hardware devices are arranged for providing the 5G message pushing task management system for each user side.
In the implementation form, the 5G message push task management system and the user side are mutually adapted. Namely, the 5G message pushing task management system is used as an application installed on the cloud service platform, and the user side is used as a client side for establishing communication connection with the application; or the 5G message pushing task management system is realized as a website, and the user side is realized as a webpage; and then or the 5G message pushing task management system is realized as a cloud service platform, and the user side is realized as an applet in the instant messaging application.
Fig. 1 is a system architecture diagram of a 5G message push task management system according to an embodiment of the present invention.
The 5G message push task management system 100 of the present invention may be disposed in a cloud server, and in implementation form, may be used as one or more service devices, may also be installed as an application on the cloud (for example, a server of a mobile service operator, a server cluster, etc.), or may also be developed as a website. Depending on the implemented functionality, the 5G message push task management system 100 may include a behavior preference generation module 101, a social feature extraction module 102, a push task generation module 103, a task ordering module 104, a behavior change collection module 105, a task priority adjustment module 106, and a message push module 107. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the embodiment of the invention, in the 5G message push task management system, each module can be independently realized and called with other modules. A call herein is understood to mean that a module may connect to a plurality of modules of another type and provide corresponding services to the plurality of modules to which it is connected. For example, the sharing evaluation module can call the same information acquisition module to acquire the information acquired by the information acquisition module, and based on the characteristics, in the 5G message pushing task management system provided by the embodiment of the invention, the application range of the 5G message pushing task management system architecture can be adjusted by adding the module and directly calling the module without modifying the program code, so that the cluster type horizontal expansion is realized, and the purpose of rapidly and flexibly expanding the 5G message pushing task management system is achieved. In practical applications, the modules may be disposed in the same device or different devices, or may be service instances disposed in virtual devices, for example, in a cloud server.
The following description is directed to each component of the 5G message push task management system and a specific workflow, respectively, in conjunction with a specific embodiment:
The behavior preference generation module 101 is configured to collect historical behavior data of a target user, and generate behavior preference of the target user according to the historical behavior data.
In the embodiment of the present invention, the behavior preference generating module 101, when executing collection of historical behavior data of a target user, includes: collecting relevant data of a target user on a social platform, for example: the system comprises a friend list of a user, a focus list of the user, a fan list of the user and social interaction data of the user, wherein the social interaction data can be behavior data such as comments, praise, sharing and the like.
In the embodiment of the present invention, the behavior preference generation module 101, when generating the behavior preference of the target user according to the historical behavior data, includes:
performing data cleaning on the historical behavior data, and performing behavior feature extraction on the historical behavior data after data cleaning to obtain behavior features of the target user;
generating a user portrait of the target user according to the behavior characteristics;
and generating behavior preference of the target user according to the user portrait.
In detail, cleaning the collected historical behavior data includes: duplicate data, processing missing values, processing outliers, etc., are removed, and the accuracy and integrity of the data are ensured to improve the reliability of subsequent analysis.
In detail, behavior features of the target user are extracted from the washed historical behavior data, and the features may include: the activity level of the target user on the social platform is as follows: posting frequency, comment times, praise times and the like; purchasing behavior on e-commerce platforms, such as: purchase frequency, purchase amount, purchase category preference, etc.; browsing behavior on an application or website, such as: browsing duration, browsing pages, number of clicks, etc.
Further, according to the extracted behavior characteristics, a behavior characteristic vector of the target user is constructed and used for subsequent user portrait generation.
In detail, the behavior preference of the user is generated according to the historical behavior data of the target user, so that the follow-up message pushing can be more accurately aimed at the interests and the preference of the user.
In detail, the step of generating the user portrait of the target user according to the behavior features is to construct a behavior feature vector of the target user according to the extracted behavior features, and the behavior feature vector is used for generating the user portrait of the target user, wherein the user portrait is a description of user interests, preferences and behavior habits.
In detail, from the user portrayal generation of the behavior preferences of the target user, a series of rules may be formulated to infer the behavior preferences of the user from specific features and attributes in the user portrayal, such as: if the user representation indicates that the user likes to exercise, it may be inferred that the user may be interested in exercise related content and that the exercise related message may be pushed to the user, where these behavioral preferences may be used for subsequent message pushing tasks to ensure that the pushed message more meets the user's interests and needs.
The social feature extraction module 102 is configured to extract social features of the behavior preference.
In an embodiment of the present invention, the social feature extraction module 102, when executing the extraction of the social feature of the behavior preference, includes:
carrying out social circle analysis on the target user according to the behavior preference to obtain a social influence index and a social liveness index of the target user;
generating social interaction frequency and social relationship strength of the target user;
generating a social relationship density index of the target user according to the social interaction frequency and the social relationship strength;
And collecting the social influence index, the social liveness index and the social relationship density index as social characteristics of the target user.
In detail, the extracting social features of the behavioral preferences
In detail, the social influence index reflects the influence degree of the user on the social platform; the social liveness index reflects the liveness and frequency of users on a social platform; the social relationship density index reflects how close a user is to social relationships with friends or careers.
In detail, the social circle analysis on the target user according to the behavior preference comprises the following steps: determining a core social circle of a user, namely a friend or a focused person which interacts most frequently with the user; analyzing the social network structure of the user, for example: whether there are obvious social groups or social circles.
Further, statistics of the interaction frequency of the user on the social platform include, but are not limited to: issuing dynamic frequency and law; the frequency of interactive behaviors such as comment, praise, share and the like; frequency of private letter interaction with friends or caregivers.
Further, the strength of social relationship between the user and friends or careers is analyzed, including but not limited to: the interaction frequency and the closeness of the interaction content; whether a long-term stable interaction relationship exists between friends or attentives; whether there is a common point of interest on a particular domain or topic.
In detail, the social impact index is generally calculated according to the number of the user's attention on the social platform, the interaction frequency, and the number and liveness of their attention, and a simple calculation method may be to multiply the number of the user's attention by their liveness, and a more complex method should consider the factors of interaction frequency, forwarding amount, and the like.
For example, social impact index = number of attendees/average attendee liveness.
In detail, the social liveness index is typically calculated according to the interaction behavior of users, such as posting frequency, comments, praise, sharing, etc. on the social platform.
In detail, social relationship density index is typically calculated based on factors such as the frequency of interaction between a user and his friends or attention, how closely the content is interacted with, etc. One common approach is to calculate the average interaction frequency of users and the number and quality of interactions between them and friends or attendees.
For example, social relationship density index = average interaction frequency/average number of interactions.
In detail, when performing social circle analysis on the target user according to the behavior preference, the social feature extraction module 102 obtains a social impact index and a social activity index of the target user, including:
And carrying out social circle analysis on the target user by using a preset liveness algorithm and the behavior preference to obtain a social liveness index of the target user, wherein the preset liveness algorithm is as follows: Wherein, Is the social liveness index of the target user,Is the number of posts by the target user,Is the number of comments of the target user,Is the number of praise times of the target user,Is the number of shares of the target user,、、AndThe weight corresponding to the posting times, comment times, praise times and sharing times is respectively adopted.
Further, the social liveness index of the user can be calculated according to the behavior data (such as posting, commenting, praise, sharing and the like) of the target user on the social platform and the weight setting, wherein the weight setting can be adjusted according to the actual situation and business requirements so as to reflect the contribution degree of different behaviors to the social liveness of the user, for example: if the importance of comments is higher in a particular scenario, the number of comments may be given a higher weight.
The push task generating module 103 is configured to generate a user preference of the target user according to the social feature, and generate a 5G message push task according to the user preference.
In the embodiment of the present invention, the push task generating module 103, when executing the generation of the user preference of the target user according to the social feature, includes:
user group division is carried out on the target user according to the social characteristics, and a social circle of the target user is obtained;
Performing deep matching on the interest tag corresponding to the social circle and the social feature to obtain the interest tag of the social feature;
And generating the user preference of the target user according to the interest tag.
In detail, the target users are grouped and assigned to different social circles or groups. These social circles may be partitioned according to the social impact index, the social liveness index, and the social relationship density of the user.
In detail, the depth matching of the interest tag corresponding to the social circle and the social feature is because the determination of the social circle of the target group is primarily determined, not refined enough, and when the interest tag of the target user needs to be determined, the preference of the target user needs to be further refined according to the social feature and the interest tag.
For example: social impact index is the degree of impact of users on other users in a social network, users with higher impact may have higher status and impact in social circles, and their favorites and behaviors may have greater impact on other users; the social liveness index refers to the liveness degree of users in a social network, including release frequency, interaction frequency and the like, users with higher liveness can easily form close social relations with other users, and social circles where the users are located can be more lively and busy; social relationship density is the relationship density of users in a social network, namely the association degree with other users, and users with higher relationship density may have more interactions and connections with other users, and social circles in which they are located may be more compact and intimate.
In detail, when the interest tag of the social circle is deeply matched with the social feature of the user, the following steps may be taken; firstly, interest tags of users in each social circle can be collected, and the tags can be from behavior data, social interaction data and the like of the users and are used for describing interest and hobbies of the users; these interest tags may then be depth matched with the social characteristics of the target user, for example: utilizing a machine learning algorithm or a rule engine to analyze the social behavior, interaction mode and other characteristics of the user, and combining the interest labels of the social circles to find out the most relevant interest field of the target user; finally, based on the results of the depth matching, user preferences of the target user may be generated, which may cover the fields of music, movies, sports, science and technology, etc., and reflect interest preferences and activity preferences of the user in the social circle, for example: classical music is preferred.
In the embodiment of the present invention, when executing the push task generating module 103 generates a 5G message push task according to the user preference, the push task generating module includes:
Generating matching content of the target user according to the user preference;
Performing A/B test distribution on the matching content to obtain grouping content of the matching content;
And generating a 5G message pushing task of the target user according to the grouping content and preset pushing time.
In detail, content related to the interest of the target user is generated according to the user preference information acquired previously, for example: selecting a suitable article, video, picture or other form of content from a content library to ensure that the push content matches the interests of the user; the generated matching content may then be divided into different groups, typically a and B groups, which may differ in content, format, language style, etc., for comparison in subsequent a/B tests.
Further, for each group of A/B tests, a corresponding grouping of content is generated, which may be tailored in detail, but which generally matches the interests of the user, so that the user's response to the different content is subsequently tested.
Further, according to preset pushing occasions, grouping content and corresponding pushing occasions are combined to generate a 5G message pushing task of the target user, and the pushing occasions may be based on factors such as active time, geographic position and equipment state of the user so as to ensure that pushing can be achieved when the user is most likely to pay attention to.
Through the steps, personalized contents can be generated according to the preference of the user, the effects of different contents are verified through the A/B test, and finally, a customized 5G message pushing task is generated, so that the user experience and popularization effect are improved.
The task ordering module 104 is configured to order the priorities of the 5G message pushing tasks by using a preset ordering algorithm, so as to obtain task priorities of the 5G message pushing tasks.
In the embodiment of the present invention, when the task ordering module 104 performs the task priority ordering on the 5G message pushing task by using a preset ordering algorithm, the task priority of the 5G message pushing task is obtained, including: the preset sorting algorithm is as follows: Wherein, Is a task priority index of the 5G message push task,Is the total number of task indexes corresponding to the 5G message pushing task,Is a task index identifier corresponding to the 5G message pushing task,Is that the 5G message pushing task is at the firstThe index weight of each task index,Is that the 5G message pushing task is at the firstScore on the individual task metrics.
In detail, the process is carried out,Is that the 5G message pushing task is at the firstIndex weights of the task indexes represent the importance degree of the indexes when calculating task priority indexes; Is that the 5G message pushing task is at the first The score on each task indicator represents the performance of the push task on that indicator.
In detail, all push tasks are ordered according to the calculated task priority index to determine their priorities, wherein the higher the priority index, the higher the priority of the task should be in the push queue.
The behavior change collection module 105 is configured to perform primary message pushing on the target user according to the task priority, and collect user behavior change of the target user according to a pushing result of the primary message pushing.
In this embodiment of the present invention, when performing the first message pushing on the target user according to the task priority and collecting the user behavior change of the target user according to the pushing result of the first message pushing, the behavior change collection module 105 includes:
generating an event queue of the target user according to the task priority;
performing primary message pushing on the target user according to the pushing content corresponding to the primary event in the event queue;
collecting clicking behaviors, browsing behaviors and purchasing behaviors of the target user according to the pushing results of the initial message pushing;
and determining the user behavior change of the target user according to the clicking behavior, the browsing behavior and the purchasing behavior.
In detail, the step of pushing the first message to the target user according to the task priority refers to gradually pushing the message to the target user according to the priority order of the tasks, which means that the task with the highest priority is sent first, and after the user feeds back the task, the next task with lower priority is pushed, and so on, the progressive pushing mode can help the system to better understand the interests and preferences of the user, and meanwhile, the disturbance to the user is reduced.
In detail, generating an event queue of the target user according to the task priority, which means arranging the tasks in the order of priority thereof to determine the order in which the messages are pushed; the push content corresponding to the primary event is selected from the event queue and then the primary message push is sent to the target user, which means that the task with the highest priority is sent to the target user first.
Further, once the message pushing is completed, the feedback behavior of the target user is started to be collected, including but not limited to: the click behavior (click push message), browsing behavior (view related content), and purchase behavior of the target user are recorded.
In detail, according to the collected user behavior data, the behavior change of the target user can be determined, the interest and preference of the user to the push message can be deduced by analyzing the clicking, browsing and purchasing behaviors of the user, and the behavior mode and feedback of the user can be further known.
The task priority adjustment module 106 is configured to dynamically adjust the task priority according to the user behavior change and the user preference.
In the embodiment of the present invention, the task priority adjustment module 106, when executing the dynamic adjustment of the task priority according to the user behavior change and the user preference, includes:
Generating a satisfaction index of the target user according to the user behavior change;
And carrying out preference adjustment on the user preference according to the satisfaction index, and carrying out dynamic adjustment on the task priority according to the user preference after preference adjustment.
In detail, generating the satisfaction index needs to comprehensively consider multiple factors such as clicking, browsing and purchasing behaviors of a user, wherein the clicking behavior is to record the clicking times of the user on a push task, if the user frequently clicks and interacts with the push task, the user is interested in the task, and the satisfaction index is correspondingly increased; the browsing behavior is to record the browsing condition of the user on the related content of the push task, and if the user browses the related content after clicking the task, the satisfaction index is increased when the user is interested in the task content; the purchasing behavior is to record whether the user purchases the goods or services if the pushing task is related to the goods or services, and if the user purchases the goods or services related to the pushing task, the satisfaction degree of the user on the task is higher, and the satisfaction index is correspondingly increased; the frequency and duration of behavior is that the frequency and duration of behavior should be considered in addition to the number of behaviors of the user, e.g., the user is continually clicking, browsing or buying a certain type of push task, possibly indicating that the user's satisfaction with that type of task is high.
By integrating the above factors, an algorithm can be designed to calculate the satisfaction index of the user, which can be an integrated score reflecting the overall satisfaction degree of the user to the push task, and according to the index, the system can adjust the priority of the task to improve the user experience.
In detail, the preference of the user is adjusted according to the generated satisfaction index, and if the user feeds back certain types of tasks more actively, the preference of the user may be adjusted, so that the types of tasks are more prominent in the subsequent pushing.
Further, the task priority is dynamically adjusted according to the adjusted user preference, which means that the priority of the task that the user prefers may be increased, while the priority of the task that the user is less interested in may be decreased.
The message pushing module 107 is configured to push a message to the target user according to the dynamically adjusted task priority.
In the embodiment of the present invention, when performing message pushing on the target user according to the dynamically adjusted task priority, the message pushing module 107 includes: message pushing is performed according to the dynamically adjusted task priority, which means that push notifications of task types that are more interesting to the user after adjustment will be sent preferentially.
For example: and according to the priority of the task and the preset pushing frequency and time window, arranging the pushing sequence and time, and sending the content to the equipment of the user through the message pushing interface.
Further, the response of the user to the push message, such as the actions of opening rate, reading time, praise, comment, sharing and the like, can be tracked, the response data of the user is recorded, the push effect is analyzed, and whether the expected target is reached or not is evaluated, such as the activity of the user is improved, the retention rate of the user is increased, the sales is promoted and the like.
In detail, this process is iterative, i.e. the push strategy is constantly optimized according to the real-time feedback of the user to achieve a more personalized and accurate message push, thereby improving user satisfaction and engagement.
Referring to fig. 2, a flow chart of a 5G message push task management method according to an embodiment of the invention is shown. In this embodiment, the method for managing a 5G message push task includes:
s1, acquiring historical behavior data of a target user, and generating behavior preference of the target user according to the historical behavior data;
S2, extracting social characteristics of the behavior preference;
S3, generating user preferences of the target user according to the social characteristics, and generating a 5G message pushing task according to the user preferences;
S4, carrying out priority ordering on the 5G message pushing task by using a preset ordering algorithm to obtain the task priority of the 5G message pushing task, wherein the preset ordering algorithm is as follows: Wherein, Is a task priority index of the 5G message push task,Is the total number of task indexes corresponding to the 5G message pushing task,Is a task index identifier corresponding to the 5G message pushing task,Is that the 5G message pushing task is at the firstThe index weight of each task index,Is that the 5G message pushing task is at the firstScores on the individual task indicators;
S5, carrying out primary message pushing on the target user according to the task priority, and collecting user behavior change of the target user according to a pushing result of the primary message pushing;
S6, dynamically adjusting the task priority according to the user behavior change and the user preference;
And S7, pushing the message to the target user according to the task priority after the dynamic adjustment.
According to the method, more personalized message pushing can be realized by collecting historical behavior data and social characteristics of a target user and pushing tasks generated according to user preferences, task priority is dynamically adjusted according to user behavior change and preferences, and interests and preference change of the user can be better adapted, so that pushed contents are more in line with current demands of the user, the preset ordering algorithm is utilized to order the pushing tasks in priority, related contents can be selectively pushed to the user according to the demands and interests of the user, the ordering algorithm can more accurately determine the pushing priority according to different task indexes and weights, meanwhile, user behavior change is collected according to pushing results of primary message pushing, feedback and preference of the user can be known in real time, pushing strategies can be timely adjusted based on the feedback information, and pushing accuracy of 5G message pushing is further improved.
Fig. 3 is a schematic structural diagram of an electronic device for implementing a 5G message push task management method according to an embodiment of the present invention.
The electronic device may comprise a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may further comprise a computer program, such as a 5G message push task management program, stored in the memory 11 and executable on the processor 10.
The processor 10 may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing Unit, CPU), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, executes or executes programs or modules (e.g., a 5G message push task management program, etc.) stored in the memory 11, and invokes data stored in the memory 11 to perform various functions of the electronic device and process data.
The memory 11 includes at least one type of storage medium including flash memory, a removable hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory 11 may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD) or the like, which are provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used not only for storing application software installed in an electronic device and various data, such as code of a 5G message push task management program, etc., but also for temporarily storing data that has been output or is to be output.
The communication bus 12 may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
The communication interface 13 is used for communication between the electronic device and other electronic devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
Only an electronic device having components is shown, and it will be understood by those skilled in the art that the structures shown in the figures do not limit the electronic device, and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power source (such as a battery) for supplying power to the respective components, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The 5G message push task management program stored in the memory 11 in the electronic device is a combination of instructions that, when executed in the processor 10, may implement:
Collecting historical behavior data of a target user, and generating behavior preference of the target user according to the historical behavior data;
Extracting social characteristics of the behavior preferences;
generating user preferences of the target user according to the social characteristics, and generating a 5G message pushing task according to the user preferences;
And carrying out priority ranking on the 5G message pushing task by using a preset ranking algorithm to obtain the task priority of the 5G message pushing task, wherein the preset ranking algorithm is as follows: Wherein, Is a task priority index of the 5G message push task,Is the total number of task indexes corresponding to the 5G message pushing task,Is a task index identifier corresponding to the 5G message pushing task,Is that the 5G message pushing task is at the firstThe index weight of each task index,Is that the 5G message pushing task is at the firstScores on the individual task indicators;
Performing primary message pushing on the target user according to the task priority, and acquiring user behavior change of the target user according to a pushing result of the primary message pushing;
Dynamically adjusting the task priority according to the user behavior change and the user preference;
and pushing the message to the target user according to the task priority after the dynamic adjustment.
In particular, the specific implementation method of the above instructions by the processor 10 may refer to the description of the relevant steps in the corresponding embodiment of the drawings, which is not repeated herein.
Further, the electronic device integrated modules/units may be stored in a storage medium if implemented in the form of software functional units and sold or used as stand-alone products. The storage medium may be volatile or nonvolatile. For example, the storage medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
Collecting historical behavior data of a target user, and generating behavior preference of the target user according to the historical behavior data;
Extracting social characteristics of the behavior preferences;
generating user preferences of the target user according to the social characteristics, and generating a 5G message pushing task according to the user preferences;
And carrying out priority ranking on the 5G message pushing task by using a preset ranking algorithm to obtain the task priority of the 5G message pushing task, wherein the preset ranking algorithm is as follows: Wherein, Is a task priority index of the 5G message push task,Is the total number of task indexes corresponding to the 5G message pushing task,Is a task index identifier corresponding to the 5G message pushing task,Is that the 5G message pushing task is at the firstThe index weight of each task index,Is that the 5G message pushing task is at the firstScores on the individual task indicators;
Performing primary message pushing on the target user according to the task priority, and acquiring user behavior change of the target user according to a pushing result of the primary message pushing;
Dynamically adjusting the task priority according to the user behavior change and the user preference;
and pushing the message to the target user according to the task priority after the dynamic adjustment.
In the embodiments provided in the present invention, it should be understood that the disclosed electronic device, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The embodiment of the application can acquire and process the related data based on task management. Wherein artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) is the theory, method, technique, and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend, and expand human intelligence, sense the environment, acquire knowledge, and use knowledge to obtain optimal results.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. The 5G message pushing task management system is characterized by comprising a behavior preference generation module, a social feature extraction module, a pushing task generation module, a task ordering module, a behavior change acquisition module, a task priority adjustment module and a message pushing module, wherein:
The behavior preference generation module is used for collecting historical behavior data of a target user and generating behavior preference of the target user according to the historical behavior data;
the social feature extraction module is used for extracting social features of the behavior preference;
The pushing task generating module is used for generating user preferences of the target user according to the social characteristics and generating a 5G message pushing task according to the user preferences;
The task ordering module is configured to order the priorities of the 5G message pushing tasks by using a preset ordering algorithm, so as to obtain task priorities of the 5G message pushing tasks, where the preset ordering algorithm is: Wherein, Is a task priority index of the 5G message push task,Is the total number of task indexes corresponding to the 5G message pushing task,Is a task index identifier corresponding to the 5G message pushing task,Is that the 5G message pushing task is at the firstThe index weight of each task index,Is that the 5G message pushing task is at the firstScores on the individual task indicators;
The behavior change acquisition module is used for carrying out primary message pushing on the target user according to the task priority and acquiring user behavior change of the target user according to a pushing result of the primary message pushing;
The task priority adjustment module is used for dynamically adjusting the task priority according to the user behavior change and the user preference;
And the message pushing module is used for pushing the message to the target user according to the task priority after the dynamic adjustment.
2. The 5G message push task management system of claim 1, wherein the behavior preference generation module, when generating the behavior preference of the target user from the historical behavior data, comprises:
performing data cleaning on the historical behavior data, and performing behavior feature extraction on the historical behavior data after data cleaning to obtain behavior features of the target user;
generating a user portrait of the target user according to the behavior characteristics;
and generating behavior preference of the target user according to the user portrait.
3. The 5G message push task management system of claim 1, wherein the social feature extraction module, when executing the extraction of the social features of the behavioral preferences, comprises:
carrying out social circle analysis on the target user according to the behavior preference to obtain a social influence index and a social liveness index of the target user;
generating social interaction frequency and social relationship strength of the target user;
generating a social relationship density index of the target user according to the social interaction frequency and the social relationship strength;
And collecting the social influence index, the social liveness index and the social relationship density index as social characteristics of the target user.
4. The 5G message push task management system of claim 3, wherein the social feature extraction module, when performing social circle analysis on the target user according to the behavior preference, obtains a social impact index and a social liveness index of the target user, comprises:
And carrying out social circle analysis on the target user by using a preset liveness algorithm and the behavior preference to obtain a social liveness index of the target user, wherein the preset liveness algorithm is as follows: Wherein, Is the social liveness index of the target user,Is the number of posts by the target user,Is the number of comments of the target user,Is the number of praise times of the target user,Is the number of shares of the target user,、、AndThe weight corresponding to the posting times, comment times, praise times and sharing times is respectively adopted.
5. The 5G message push task management system of claim 1, wherein the push task generation module, when executing the generation of the user preferences of the target user from the social characteristics, comprises:
user group division is carried out on the target user according to the social characteristics, and a social circle of the target user is obtained;
Performing deep matching on the interest tag corresponding to the social circle and the social feature to obtain the interest tag of the social feature;
And generating the user preference of the target user according to the interest tag.
6. The 5G message push task management system of claim 1, wherein the push task generation module, when performing generating a 5G message push task according to the user preferences, comprises:
Generating matching content of the target user according to the user preference;
Performing A/B test distribution on the matching content to obtain grouping content of the matching content;
And generating a 5G message pushing task of the target user according to the grouping content and preset pushing time.
7. The 5G message push task management system of any of claims 1 to 6, wherein the behavior change collection module, when performing a first message push to the target user according to the task priority, collects a user behavior change of the target user according to a push result of the first message push, includes:
generating an event queue of the target user according to the task priority;
performing primary message pushing on the target user according to the pushing content corresponding to the primary event in the event queue;
collecting clicking behaviors, browsing behaviors and purchasing behaviors of the target user according to the pushing results of the initial message pushing;
and determining the user behavior change of the target user according to the clicking behavior, the browsing behavior and the purchasing behavior.
8. A 5G message push task management method, the method comprising:
Collecting historical behavior data of a target user, and generating behavior preference of the target user according to the historical behavior data;
Extracting social characteristics of the behavior preferences;
generating user preferences of the target user according to the social characteristics, and generating a 5G message pushing task according to the user preferences;
And carrying out priority ranking on the 5G message pushing task by using a preset ranking algorithm to obtain the task priority of the 5G message pushing task, wherein the preset ranking algorithm is as follows: Wherein, Is a task priority index of the 5G message push task,Is the total number of task indexes corresponding to the 5G message pushing task,Is a task index identifier corresponding to the 5G message pushing task,Is that the 5G message pushing task is at the firstThe index weight of each task index,Is that the 5G message pushing task is at the firstScores on the individual task indicators;
Performing primary message pushing on the target user according to the task priority, and acquiring user behavior change of the target user according to a pushing result of the primary message pushing;
Dynamically adjusting the task priority according to the user behavior change and the user preference;
and pushing the message to the target user according to the task priority after the dynamic adjustment.
9. An electronic device, the electronic device comprising:
At least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the 5G message push task management method of claim 8.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the 5G message push task management method of claim 8.
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