CN112396454A

CN112396454A - User level information processing method and device, computer equipment and storage medium

Info

Publication number: CN112396454A
Application number: CN202011254853.XA
Authority: CN
Inventors: 荆伟; 张艳; 印跃根; 葛伟; 王笑言; 司孝波
Original assignee: Suning Cloud Computing Co Ltd
Current assignee: Shenzhen yunwangwandian Technology Co.,Ltd.
Priority date: 2020-11-11
Filing date: 2020-11-11
Publication date: 2021-02-23

Abstract

The application relates to a user-level information processing method, a user-level information processing device, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring a service grade type of a user; determining a grade factor of the service grade type, wherein the grade factor is used as an influence factor of the grade of the service grade type; reading first behavior data corresponding to the level factors, and calculating a level factor value according to the first behavior data; and determining the growth value of the user according to the grade factor value, and determining the grade level of the service grade type of the user according to the growth value. The method can adapt to various growth systems without independently developing various models and setting a plurality of interfaces and background functions, thereby reducing the waste of system resources.

Description

User level information processing method and device, computer equipment and storage medium

Technical Field

The present application relates to the field of user behavior data processing technologies, and in particular, to a user-level information processing method and apparatus, a computer device, and a storage medium.

Background

Many large and medium-sized enterprises have diversified industrial ecology, and industrial operation schemes have differentiated management based on the requirements of respective industrial characteristics. For example, a member growth system in a retail business state, a growth system in an independent brand store, and a customer group growth system with specific attributes. The group growth system is, for example, a mother-and-baby growth system, a student growth system, etc., and independent growth systems can be established according to the behavior characteristics of the group.

However, each growth system has no standardized and universal capability, and each growth system needs to design a model, build a table, develop an independent interface, perform a background operation and maintenance function, and the like to maintain the level information of users in each growth system. The design of each model and the customization of the functions of the models have limitations and cannot be reused, so that development and test resources are wasted. Meanwhile, more and more interfaces and background functions are needed to be set, which causes waste of system resources.

Disclosure of Invention

In view of the above, there is a need to provide a user-level information processing method, apparatus, computer device, and storage medium capable of adapting to multiple growth systems without separately developing multiple models and without providing multiple interfaces and multiple background functions, which reduces waste of system resources.

A user-level information processing method, the method comprising: acquiring a service grade type of a user; determining a grade factor of the service grade type, wherein the grade factor is used as an influence factor of the grade of the service grade type; reading first behavior data corresponding to the level factors, and calculating a level factor value according to the first behavior data; and determining the growth value of the user according to the grade factor value, and determining the grade level of the service grade type of the user according to the growth value.

In one embodiment, the user-level information processing method further includes: acquiring a data field of the user, wherein the data field is determined according to second behavior data of the user; and generating the service level type of the user and the level factor of the service level type according to the data field.

Preferably, the user-level information processing method further includes: monitoring behavior data of a user; when the second behavior data is received, a data field is generated according to the second behavior data.

In one embodiment, the user-level information processing method further includes: configuring a grade factor according to the service grade type; configuring a factor scene of a grade factor; first behavior data is determined according to the factor scenario.

In one embodiment, the factor scenario includes a plurality of factor scenarios, reading first behavior data corresponding to the level factor, and calculating a level factor value according to the first behavior data, including: determining a plurality of factor scenarios for the level factor; reading user data of each factor scene, wherein the first behavior data comprises the user data of each factor scene; and calculating a grade factor value according to the user data of each factor scene.

In one embodiment, the user-level information processing method further includes: acquiring the incidence relation of each factor scene; calculating a level factor value according to user data of each factor scenario, comprising: and calculating the grade factor value according to the incidence relation and the user data of each factor scene.

Preferably, calculating the level factor value according to the association relationship and the user data of each factor scenario includes: when the association relationship comprises an OR relationship, determining factor scenes of the OR relationship, and calculating a grade factor value according to user data of one or more factor scenes in the factor scenes of the OR relationship; when the association relationship comprises the relationship, determining the factor scenes of the relationship, and calculating the grade factor values according to the user data of all the factor scenes in the factor scenes of the relationship; and when the incidence relation comprises a non-relation, determining a non-relation factor scene, and calculating a grade factor value according to the user data of a factor scene in the non-relation factor scenes.

In one embodiment, calculating the rank factor value based on the first behavioral data comprises: acquiring a data operation rule corresponding to a pre-configured grade factor, wherein the data operation rule comprises a first operation rule and a second operation rule, the first operation rule is used for calculating a currently increased factor value in a first operation mode, and the second operation rule is used for calculating a currently decreased factor value in a second operation mode; when the first behavior data is determined to be the factor value added behavior data, calculating a currently added factor value by adopting a first operation rule according to the first behavior data, and calculating a grade factor value by using the currently added factor value and a previous factor value; and when the first behavior data is determined to be the factor value reduction behavior data, calculating the currently reduced factor value by adopting a second operation rule according to the first behavior data, and calculating the grade factor value by using the currently reduced factor value and the previous factor value.

Preferably, determining the growth value of the user according to the ranking factor value comprises: determining a conversion relation between the level factor value and the growth value of the user; and determining the growth value of the user according to the grade factor value and the conversion relation.

In one embodiment, the user-level information processing method further includes: setting a plurality of grade levels corresponding to the service grade types; setting a first threshold value and a second threshold value of each grade level, wherein the first threshold value is smaller than the second threshold value; determining a growth value of the user according to the level factor value, and determining a level of a service level type of the user according to the growth value, wherein the step comprises the following steps: and when the length value is greater than the first threshold value of any grade level and less than the second threshold value of any grade level, determining that the service grade type of the user is any grade level.

An information processing apparatus of a user level, the apparatus comprising: the acquisition module is used for acquiring the service grade type of the user; the first determining module is used for determining a grade factor of the service grade type, and the grade factor is used as an influence factor of the grade of the service grade type; the calculation module is used for reading first behavior data corresponding to the grade factors and calculating the grade factor value according to the first behavior data; and the second determining module is used for determining the growth value of the user according to the level factor value and determining the level grade of the service level type of the user according to the growth value.

A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any of the above embodiments when executing the computer program.

A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any of the above embodiments.

According to the user grade information processing method and device, the computer equipment and the storage medium, the server obtains the service grade type of the obtained user, determines the grade factor of the service grade type, the grade factor is used as the influence factor of the grade of the service grade type, reads first behavior data corresponding to the grade factor, calculates the grade factor value according to the first behavior data, determines the growth value of the user according to the grade factor value, and determines the grade of the service grade type of the user according to the growth value. Therefore, multiple service grade types can be set for the same user, different service grade types correspond to different grade factors, the server can calculate the grade levels of the users corresponding to the service grade types according to the behavior data corresponding to the service grade types, the server can adapt to the growth systems of the multiple service grade types of the users by adopting the method, different growth system models do not need to be set for different grade types, and multiple interfaces and multiple background functions do not need to be set for different growth system models, so that the waste of system resources is reduced, and the maintenance amount of the system for managing the grade levels of the different service grade types of the users is reduced.

Drawings

FIG. 1 is a diagram of an application environment of a user-level information processing method in one embodiment;

FIG. 2 is a flow diagram that illustrates a method for user-level information processing, according to an embodiment;

FIG. 3 is a diagram of a display after configuration of a traffic class type in one embodiment;

FIG. 4 is a diagram of a display after configuration of a service class type in another embodiment;

FIG. 5 is a flow diagram that illustrates the processing of behavioral data input by information handling system 102 to a data source in one embodiment;

FIG. 6 is a diagram of a display interface after a ranking factor has been configured in one embodiment;

FIG. 7 is a diagram of a display interface after a ranking factor has been configured in accordance with another embodiment;

FIG. 8 is a product framework diagram illustrating service management modeled by the member growth architecture in one embodiment;

FIG. 9 is a flow diagram illustrating the flow of management of the member level system in one embodiment;

FIG. 10 is a block diagram of an embodiment of a user-level information processing apparatus;

FIG. 11 is a diagram illustrating an internal structure of a computer device in one embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The application provides an information processing method of a user level, which is applied to an application environment as shown in fig. 1. As shown in FIG. 1, information handling system 102 is configured to perform a user-level information handling method of the present application. Specifically, the information processing system 102 receives an external data stream, which includes various behavior data of the user. The information handling system 102 stores the behavioral data of the user in the data stream to the database 104. The configuration system 106 performs information configuration on the information processing system 102 according to configuration information set therein. Specific configuration information can be shown in fig. 1, and includes a level configuration, a level factor configuration, a level upgrading and downgrading configuration, a factor scene configuration, and the like. The grade configuration comprises service grade type configuration and number configuration of each service grade type, and each service grade type is configured through a grade threshold. The grade factor configuration is used for configuring the grade factor corresponding to the service grade type. Specifically, the level factor configuration is used to configure a level factor dimension that is relevant to affect the upgrade level of the corresponding business level type. A tier-level configuration is used to configure the promotion or demotion of a tier level. Specifically, the level upgrading and downgrading configuration is used for configuring an upper and lower limit threshold of a specific factor value of the service level upgrading and downgrading. And the factor scene configuration is used for configuring scenes corresponding to all the grade factors so as to determine the behavior data of the users with the service grade types according to the corresponding scenes. Specifically, the factor scenario configures a scenario for configuring calculation of each influence level factor value, and a calculation rule formula for increasing or decreasing each scenario factor value. After the information processing system 102 completes the information configuration, the service level type of the user is obtained, and the level factor of the service level type is determined, wherein the level factor is used as the influence factor of the level grade of the service level type. Further, the information processing system 102 reads first behavior data corresponding to the level factor from the database 104, and calculates a level factor value according to the first behavior data; and determining the growth value of the user according to the grade factor value, and determining the grade level of the service grade type of the user according to the growth value. Therefore, the information processing system 102 can adapt to the growth system of the service level types of multiple users without developing multiple models separately and setting multiple interfaces and multiple background functions, and only needs to configure the corresponding service level types and the related information in the configuration system 106, thereby reducing the waste of system resources and reducing the maintenance amount of the system for the level management of different service level types of the users.

In one embodiment, as shown in fig. 2, a user-level information processing method is provided, which is described by taking a server applied to the information processing system 102 in fig. 1 as an example, and includes the following steps:

s102, obtaining the service grade type of the user.

In this embodiment, the service class type of the user is configured. The service class type is configured according to specific industrial characteristics. The traffic class type may be plural. The configuration of the service class type can be increased or decreased. The service level types may include a business type, a role type, a member card type, and the like. That is, the creation threshold of the business class type may include several dimensions of a business status type, a role type, a member type, and a membership card type. The checks of several optional dimensions encompassed by the creation threshold of the traffic class type are configurable. Specifically, obtaining the rating requires meeting several threshold requirements: a particular business or a particular membership type is the group of people at this level. The configuration of the traffic class type is shown in fig. 3. The threshold refers to a condition for creating a corresponding service class type, and the bearer refers to a program implementation method for checking the threshold.

In the information processing process of the user grade of each service grade type, the server firstly obtains the service grade type of the user. The obtaining may be by reading the service class type of the user in the information configuration table from the database. The information configuration table is used for recording configuration information of the service class type of the user. The configuration information of each service grade type is recorded through the information configuration table, and a technical basis is provided for a subsequent information processing method for processing the user grades of multiple service grade types by adopting the same system framework in an information configuration mode.

And S104, determining a grade factor of the service grade type, wherein the grade factor is used as an influence factor of the grade level of the service grade type.

In this embodiment, the class factors matching the service class types are configured in advance for different service class types. The grade factor is used as an influence factor of the grade level of the traffic grade type. That is, the level factor value participates in the ascending and descending of the level corresponding to the service level type of the user. Wherein, a plurality of different levels of grade levels are set for the service grade type. The user's rank level is upgraded or downgraded with reference to the rank factor. Specifically, the ranking factors may include the number of shopping days, the amount of points, and the like.

And S106, reading first behavior data corresponding to the level factors, and calculating the value of the level factors according to the first behavior data.

In the present embodiment, different level factors correspond to different behavior data of the user. For example, when the ranking factor is shopping days, the corresponding behavior data is the shopping days of the user. When the grade factor is the integral quantity, the corresponding behavior data is the integral quantity value of the user. When the grade factors of the service grade type are determined, first behavior data corresponding to one or more grade factors are read. The database stores behavior data of users, and the server reads out the first behavior data from the database.

Further, the server calculates a corresponding ranking factor value based on the first behavior data. Specifically, the data calculation formula of each level factor may be configured in advance. And when the corresponding grade factor is determined, acquiring corresponding first behavior data, and performing data operation on the first behavior data according to a corresponding data calculation formula to obtain a corresponding grade factor value. For example, when the level factor is a credit amount, the data calculation formula is used to indicate that the unary actual payment amount is equal to one credit value. Corresponding first behavior data is extracted from the database, where the first behavior data is used to characterize the actual amount of money paid by the user when purchasing the item. And performing data operation on the first behavior data according to the calculation of the data calculation formula, and calculating a grade factor value when the grade factor is an integral quantity.

And S108, determining the growth value of the user according to the level factor value, and determining the level grade of the service level type of the user according to the growth value.

In this embodiment, the server determines a growth value corresponding to the service class type of the user according to the class factor value. When the level factor is multiple, the level factor values of the multiple level factors may be accumulated, and the growth value may be determined according to the accumulation result value. When the ranking factor is one, the growth value is determined according to the ranking factor value of the ranking factor. Specifically, whether the user is one or more of the level factors, determining the growth value of the user according to the level factor value may include determining a conversion formula of the level factor value and the growth value, and converting the level factor value into the growth value of the user according to the conversion formula. For example, the scaling formula may be that the scale factor value is scaled to the growth value.

And finally, determining the grade level of the service grade type of the user according to the growth value. Specifically, the service class type may be provided with a plurality of class levels, and each class level is provided with a lowest threshold and a highest threshold. And when the length value reaches the lowest threshold value of any grade level, setting the grade level under the service grade type as the any grade level. And when the length value is greater than the highest threshold value of any grade level, setting the grade level under the service grade type as the grade level higher than the grade level of any grade level. When configuring each service level type, a level corresponding to each service level type and an upgrading or degrading mode of each level are created. See in particular fig. 4. Specifically, when the length value satisfies the condition of the level corresponding to the service level type, the service level type of the user may be set to the corresponding level.

According to the user grade information processing method, the server obtains the service grade type of the obtained user, the grade factor of the service grade type is determined, the grade factor is used as an influence factor of the grade of the service grade type, the first behavior data corresponding to the grade factor is read, the grade factor value is calculated according to the first behavior data, the growth value of the user is determined according to the grade factor value, and the grade of the service grade type of the user is determined according to the growth value. Therefore, multiple service grade types can be set for the same user, different service grade types correspond to different grade factors, the server can calculate the grade levels of the users corresponding to the service grade types according to the behavior data corresponding to the service grade types, the server can adapt to the growth systems of the multiple service grade types of the users by adopting the method, different growth system models do not need to be set for different grade types, and multiple interfaces and multiple background functions do not need to be set for different growth system models, so that the waste of system resources is reduced, and the maintenance amount of the system for managing the grade levels of the different service grade types of the users is reduced.

In an embodiment, before S104, the method further includes: acquiring a data field of the user, wherein the data field is determined according to second behavior data of the user; and generating the service level type of the user and the level factor of the service level type according to the data field.

Preferably, before acquiring the data field of the user, the method further includes: monitoring behavior data of a user; when the second behavior data is received, a data field is generated according to the second behavior data.

In this embodiment, when information handling system 102 accesses a data source, the data source is received using the same framework of information handling system 102. Further, the behavior data of the data source is monitored. And when second behavior data of the user is monitored, generating a corresponding data field according to the second behavior data. And finally, generating the service level type of the user and the level factor corresponding to the service level type according to the data field. Wherein the second behavior data of the user may be the same as the first behavior data. Specifically, when the second behavior data of the user is monitored, the second behavior data is stored. And meanwhile, obtaining the service grade type and the grade factor corresponding to the service grade type according to the second behavior data. When information processing at a user level is performed subsequently, the first behavior data is acquired from the storage, and the first behavior data at this time may be the second behavior data stored previously. It may also be that the first behavior data comprises second behavior data. That is, only a part of the data in the first behavior data is needed in generating the data field, and the part of the data may be the second behavior data. When information processing at the user level is performed, all the first behavior data are applied.

Specifically, as shown in fig. 5, the information processing system 102 receives behavior data input by a data source, generates a corresponding data field according to the behavior data, and sets a corresponding service class type and a class factor of each service class type according to the data field. Each level factor corresponds to specific behavior data. And during subsequent user level information processing, acquiring the service level type, determining the level factor of the service level type, determining a data operation mode corresponding to the level factor, calculating a growth value of the service level type according to the data operation mode, and finally determining the level of the service level type according to the growth value.

For example, when a new data source needs to be added, the same framework is adopted, a new data source is received, and the core field of the new data source is used as a new basic rule to configure the service class type and the class factor. The data source access of member perfection data, member login behavior and member evaluation behavior can be extracted to realize independent methods, and identification and configuration are carried out according to the data field of the data source, so that the method is used for using the grade factor value of each industry. Therefore, the same system architecture, such as an information processing system, can be adapted to various growth systems, multiple models do not need to be developed independently, multiple interfaces and multiple background functions do not need to be set, and waste of system resources is reduced.

In an embodiment, before S104, the method further includes: configuring a grade factor according to the service grade type; configuring a factor scene of a grade factor; first behavior data is determined according to the factor scenario.

In this embodiment, after configuring the service class type, as shown in fig. 6, the class factor of the service class type is configured. The number of the level factors can be multiple, and factor scenes corresponding to the level factors are configured. For example, the ranking factor is the number of shopping days. The factor scenario configured at this time is a scenario in which the user purchases an item. And determining the number of days purchased by the user according to the shopping behavior generated by the user in the scene of purchasing the items. That is, the factor scenario corresponding to the configuration level factor and the construction level factor. The server determines first behavioural data under the factor scenario from a database. Therefore, the accuracy of acquiring the first behavior data and the efficiency of acquiring the first behavior data can be improved.

In one embodiment, the factor scenario is multiple, the first behavior data corresponding to the level factor is read, and the level factor value is calculated according to the first behavior data, including: determining a plurality of factor scenarios for the level factor; reading user data of each factor scene, wherein the first behavior data comprises the user data of each factor scene; and calculating a grade factor value according to the user data of each factor scene.

Preferably, before calculating the rating factor value according to the user data of each factor scenario, the method further includes: and acquiring the incidence relation of each factor scene. Calculating a level factor value according to user data of each factor scenario, comprising: and calculating the grade factor value according to the incidence relation and the user data of each factor scene.

In this embodiment, a multi-factor scenario of a level factor is shown in FIG. 7. For example, the multiple factor scenarios include login class, shopping class, goods returned class, and the like. And the server reads the user data of each factor scene and calculates the grade factor value according to the user data of each factor scene. Specifically, the association relationship of each factor scene is acquired, and the level factor value is calculated according to the association relationship and the user data of each factor scene. Wherein the incidence relation comprises an OR relation, a relation and a non-relation. Different incidence relations and different modes of calculating the grade factor values.

In particular, the level factor value supports a combined factor scenario. The factor scenario may be an or and not a relationship to the factor scenario. And acquiring the corresponding grade factor value according to the rule definition of the factor scene. The level factor value may be calculated according to user data of one or more factor scenes in the factor scenes of the relationship, the level factor values may be calculated according to user data of all factor scenes in the factor scenes of the relationship, and the level factor values may be calculated according to user data of one factor scene in the factor scenes of the non-relationship. Specifically, the factor scenes include scene a, scene B, and scene C. When the scene a, the scene B, and the scene C are all or in relation, the level factor value may be calculated using the user data of any scene. When the scene a, the scene B, and the scene C are all in a parallel relationship, the user data of the scene a, the scene B, and the scene C are simultaneously used to calculate the level factor value. When the scene a and the scene B are non-relational, the level factor value is calculated using the user data of the scene a instead of the user data of the scene B. Or, the non-relationships can be combined arbitrarily, as in the case of non-scenario a, scenario B is satisfied and either scenario C or scenario D calculates the calculation level factor value.

For example, if the shopping behavior returns 1 growth value for a payment amount of 1 yuan, the system implementation rule is: in processing the order data, the designated field values of the order interface are identified, such as the order source, the order sale amount, the amount due, the coupon amount, the shipping cost amount, etc. The system realizes rules, is executed according to configuration, and can flexibly configure and adjust the specific field values needing to be identified and the identification rules. And identifying the order form of a specific source according to a formula method provided by the service, calculating the actual payment amount of the user, and converting the actual payment amount into a growth value of 1 yuan to increase the actual payment amount. And the reverse order returning principle is that the reverse orders are distinguished according to the order specific identification. And finally, determining a final grade factor increasing and decreasing value according to the incidence relation among the factor scenes.

Therefore, the method can support the determination of the grade level of the service grade type under the multi-factor scene, meet the service requirement, enable the information processing system to be more suitable for various application scenes, and save the resources of the system without independently developing new models aiming at different services.

In this embodiment, the service class type is provided with a plurality of class levels, and each class level is correspondingly provided with a growth value interval. The user's behavioral data may be such that the user's growth value is increased or decreased. Therefore, the system is configured with a first operation rule and a second operation rule corresponding to the grade factors in advance, the first operation rule is used for calculating the currently increased factor value through a first operation mode, and the second operation rule is used for calculating the currently decreased factor value through a second operation mode. Further, the confirmed first behavior data is the factor value increasing behavior data or the factor value decreasing behavior data, and then data operation is performed according to the identified data type by adopting a corresponding operation rule to obtain a grade factor value.

Further, determining a conversion relation between the level factor value and the growth value of the user; and determining the growth value of the user according to the grade factor value and the conversion relation. The conversion relationship may be a pre-configured conversion formula by which the level factor value is converted into a corresponding growth value. And finally, matching the growth value with preset conditions of each grade level corresponding to the grade category, and setting the service grade type of the user as the grade level when the preset conditions of which grade level are met. Thus, an accurate confirmation of the level of the traffic level type of the user is achieved.

In an embodiment, before S108, the method further includes: setting a plurality of grade levels corresponding to the service grade types; and setting a first threshold value and a second threshold value of each grade level, wherein the first threshold value is smaller than the second threshold value. S108 includes: and when the length value is greater than the first threshold value of any grade level and less than the second threshold value of any grade level, determining that the service grade type of the user is any grade level.

In this embodiment, the service class type is provided with a plurality of class levels, and each class level sets a corresponding growth value interval. The lowest value of the growth value interval is a first threshold value, and the highest value is a second threshold value. And when the growth value falls into the growth value interval, the grade level of the service grade type of the user is the grade level corresponding to the growth value interval. Thus, an accurate positioning of the class level of the traffic class type can be achieved.

It should be noted that, the information processing system 102 is configured with each service class type and the class factor of each service class type in advance, and meanwhile, the information processing system 102 can access different data sources, and the class factor of each service class type may correspond to behavior data of different data sources. Therefore, the information processing system 102 can implement the management of the level of any service level type of the user by using the information processing method of a user level of any embodiment, and does not need to set different growth system models for different level types, or set multiple interfaces and multiple background functions for different growth system models, thereby reducing the waste of system resources and reducing the maintenance amount of the system for the management of the level of different service level types of the user. The configuration modes of all service level types and the level factors of all the service level types can be realized by adopting tree structure configuration and combining with an Avitor expression engine.

For the information processing method of the user level, the corresponding level generalization model is set in the information processing system 102. Fig. 8 shows service management of the member growth system building model.

Specifically, a generalized member growth system building model is designed, and the service level type of a member, the level factor of the service level type, the factor scene of the level factor, the scene rule of the factor scene and the like are subjected to standardized management, so that the information processing system supports model-based expansion. That is, any service class type can be set according to the service class type-class factor-factor scene-scene rule, so that the information processing system can adapt to the management of the class level of any service class type, different growth system models do not need to be set for different class categories, and a plurality of interfaces and a plurality of background functions do not need to be set for different growth system models, thereby reducing the waste of system resources and reducing the maintenance amount of the system for the management of the class levels of different service class types of users.

Specifically, various traffic class types are set. Such as: and (4) defining the grade. As shown in fig. 3, the manner of level definition is: the grades are classified into grades, the grades can be defined or replaced according to the service requirements, and the grade names can be edited at will for displaying. The creation threshold of the grade can be increased or decreased, and the model supports: business type, role type, member type, card type, etc. Each type sets an admission threshold.

And when the system monitors the behavior data of the member, corresponding industry service level types are created. If the user successfully registers the A industry member, a service level type needs to be created. Or when the user completes any action influencing the increase and decrease of the grade factor value in the industry A, the business grade type is established for the user.

Such as: and setting grade factor expansion of the service grade type, which influences the ascending and descending grade of the grade. Specifically, the grade factors can be increased or decreased according to the service requirement, and can be the grade factors of dimensions such as growth value, shopping day, score amount, credit and the like. The relationship between the ranking factors may be either or not. The upper and lower limits of the grade factor can be adjusted according to the distribution of the passenger groups.

Such as: and setting a factor scene influencing the increase and decrease of the grade factors and supporting the expansion of the rules of the factor scene. Specifically, the system screens the behavior data of the user: the system receives user behavior data in full, such as behaviors of shopping, logging in, evaluating, improving data and the like, firstly performs one-layer data screening, receives data of required service grade types configured currently, and eliminates other useless data. For example, industry a business class type requires an order from channel a from the shopping order system to calculate the class factor value, and the data for the order from channel a is received in the configuration. If the same order data source is accessed to the business grade type of the B industry, the order source is only required to be configured and identified as a channel B, and the grade factor value is calculated according to the rule of the business grade type of the B industry. Because the same system architecture can be adopted to carry out the level management of the service level types, when the management of different service level types of different industries is realized, only the relevant configuration is needed to be carried out on the system, the system architecture does not need to be changed, namely, the code is not needed to be changed, and the development resources and the internal resources of the system can be saved.

Further, when an access data source needs to be newly added, the same framework is adopted to receive the new data source, and the core data field of the new data source is used as a new basic rule to configure information such as a service level type. Such as the data source access of member perfection data, member login behavior and member evaluation behavior, and the identification and configuration can be carried out according to the data field of the data source.

Such as: and setting an increase and decrease rule and a score of each factor scene. In particular, a combination factor scenario definition is supported. The factor scenes can be in or not in relation with the factor scenes, and corresponding grade factor values are obtained according to the definition of the scene rules. If the shopping behavior is carried out, the real payment amount is 1 yuan and 1 growth value is returned, the system implementation rule is as follows: in order data processing, values of designated fields, such as order sales amount, due amount, coupon amount, freight amount and the like are identified, actual payment amount of a user is calculated according to data operation rules provided by services, and the actual payment amount is increased by converting 1 yuan into a growth value. And the reverse order returning principle is that the reverse orders are distinguished according to the order specific identification.

After designing a generalized member growth system building model, a level standardization service is further set. Specifically, a generalized interface service and a background function service are provided. Such as: the front-end inquires the member grade, inquires the member grade change, inquires the member grade factor change details, inquires the detailed configuration information of the member grade, receives user behavior data and so on all designs standardized service. For the newly added service level type or level, only the newly added specified level code needs to be configured for inquiry, and the information of the enumeration value related to the corresponding level is returned without modifying the code and the interface. The detailed information of the back-end operation and maintenance function, the general menu and the newly added level system can directly support the query without being developed again. Therefore, the corresponding generalized service is provided for the member growth system building model.

In addition, a hierarchical configuration function is provided for the member growth system building model. Specifically, a background configuration function entrance is provided, and the configuration and adjustment of member (user) service level type information, level factor information, factor scene information and the like according to the operation rule are supported.

In conclusion, the universal member growth system model can support a brand-new member growth system to be built quickly and support the expansion of business operation to a certain extent. When a new industry needs to build a self grade system, only the name of the service grade type, the grade, the grade factors influencing the grade ascending and descending, the factor scenes obtained by the factor factors, the proportion and the rule of the grade return factor values of the factor scenes, the upper limit and the lower limit threshold of the factor values required by the grade ascending and descending, the validity period of the grade factors, the rights and interests enjoyed by the grade types of the services and the like are configured according to the service rules, and a universal query relevant interface is set, and the enumeration configuration identification of the newly added service grade type, the grade factors, the factor scenes and the grade rights and interests is supported to support the growth system of each new member.

Further, the rules of the factor scenario of the grade up-down factor may be adjusted as follows:

in order to increase user stickiness, promote liveness and enrich own level play methods, configuration and adjustment need to be carried out according to a level factor value threshold required by existing level upgrading and downgrading, obtaining scenes and rules of the level factor values are enriched, when rules of returning factor values of interaction behavior scenes such as sign-in, evaluation, sharing and live broadcasting watching need to be added besides shopping consumption, a certain level factor value is returned according to a measured proportion, factor scene configuration can be carried out in an existing background, the level factor value rules and proportions returned by the factor scenes are configured, adjustment of fast supporting services is achieved, development and setting are not needed, and development resources are saved.

A concrete implementation flow is provided below for the generalized member growth system building model.

The member level system management process is applied to the generalized member growth system building model. The member level system management process comprises a process of building a member growth system by the system, operating detailed rules of a specified level growth system, designing and perfecting a model based on the service rules of the level system, configuring a newly-added industrial service level type and a lifting rule, a level factor, a factor scene and a processing rule thereof according to the service rules, configuring a general interface service and a background configuration function, and integrating, testing and verifying a combined dry system after configuration is completed, and combining a dry system of a front-end page display and a core scene, for example: and the system helps the center, the operation and the customer service to get on line synchronously. The specific process is shown in fig. 9: and if the member registration is successful or the member is increased or decreased to a long value by the triggering of certain scene behavior, judging whether the grade accords with the creation threshold according to the creation threshold of the grade configuration, and if the grade accords with the creation threshold, creating the corresponding industry grade. After the user finishes the task of the appointed scene in the industry, the grade system increases or decreases the growth value according to the configured rule proportion of returning the growth value under the scene, and the growth value is upgraded when reaching the upgrade threshold of the next grade, and the rights and interests are issued. And after the grade upgrading and downgrading are successful, the user is upgraded by a page popup frame, push or short message and rights and interests are reminded.

In summary, the generalized member growth system building model and the user-level information processing method realize abstract combing of regular dimensions of a member growth system scene, can support management of coexistence of multi-industry service level types, support differentiated operation of each service level type, and provide a standardized solution for coexistence and common operation of multi-industry member growth systems, thereby shortening the research and development period.

It should be understood that, although the steps in the flowchart are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

The present application also provides an information processing apparatus of a user level, as shown in fig. 10, the apparatus includes an obtaining module 10, a first determining module 20, a calculating module 30, and a second determining module 40. An obtaining module 10, configured to obtain a service class type of a user; a first determining module 20, configured to determine a grade factor of a service grade type, where the grade factor is used as an influence factor of a grade level of the service grade type; a calculating module 30, configured to read first behavior data corresponding to the level factor, and calculate a level factor value according to the first behavior data; and the second determining module 40 is configured to determine a growth value of the user according to the level factor value, and determine a level of the service level type of the user according to the growth value.

In one embodiment, the information processing apparatus of the user level may include (not shown in fig. 10): and the first generation module is used for acquiring a data field of the user, determining the data field according to the second behavior data of the user, and generating the service class type of the user and the class factor of the service class type according to the data field.

In one embodiment, the information processing apparatus of the user level may include (not shown in fig. 10): and the second generation module is used for monitoring the behavior data of the user and generating a data field according to the second behavior data when the second behavior data is received.

In one embodiment, the information processing apparatus of the user level may include (not shown in fig. 10): and the third determining module is used for configuring the grade factors according to the service grade types, configuring the factor scenes of the grade factors and determining the first behavior data according to the factor scenes.

In one embodiment, the factor scenes are multiple, the calculating module 30 is specifically configured to determine multiple factor scenes of the level factor, read user data of each factor scene, where the first behavior data includes the user data of each factor scene, and calculate a value of the level factor according to the user data of each factor scene.

In one embodiment, the information processing apparatus of the user level may include (not shown in fig. 10): the obtaining module is used for obtaining the incidence relation of each factor scene; the calculating module 30 is specifically configured to calculate a level factor value according to the association relationship and the user data of each factor scenario.

In one embodiment, the calculating module 30 is specifically configured to obtain a data operation rule corresponding to a preconfigured level factor, where the data operation rule includes a first operation rule and a second operation rule, the first operation rule is used to calculate a currently increasing factor value by a first operation, the second operation rule is used to calculate a currently decreasing factor value by a second operation, and when it is determined that the first behavior data is the factor value increasing behavior data, calculating a currently increased factor value by using a first operation rule according to the first behavior data, calculating a level factor value from the currently increased factor value and the previous factor value, and when it is determined that the first behavior data is the decreased behavior data, and calculating the current reduced factor value by adopting a second operation rule according to the first behavior data, and calculating the level factor value by using the current reduced factor value and the previous factor value.

In one embodiment, the information processing apparatus of the user level may include (not shown in fig. 10): the setting module is used for setting a plurality of grade levels corresponding to the service grade types, and setting a first threshold value and a second threshold value of each grade level, wherein the first threshold value is smaller than the second threshold value; the second determining module 40 is specifically configured to determine that the service class type of the user is any one of the hierarchical levels when the length value is greater than the first threshold value of any one of the hierarchical levels and less than the second threshold value of any one of the hierarchical levels.

For the specific definition of the information processing apparatus at the user level, reference may be made to the above definition of the information processing method at the user level, which is not described herein again. The respective modules in the above-described user-level information processing apparatus may be entirely or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a server supporting the operation of information handling system 102, and its internal structure diagram may be as shown in FIG. 11. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for connecting with an external device to receive behavior data of the external device. The computer program is executed by a processor to implement a user-level information processing method.

Those skilled in the art will appreciate that the architecture shown in fig. 11 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: acquiring a service grade type of a user; determining a grade factor of the service grade type, wherein the grade factor is used as an influence factor of the grade of the service grade type; reading first behavior data corresponding to the level factors, and calculating a level factor value according to the first behavior data; and determining the growth value of the user according to the grade factor value, and determining the grade level of the service grade type of the user according to the growth value.

In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a data field of the user, wherein the data field is determined according to second behavior data of the user; and generating the service level type of the user and the level factor of the service level type according to the data field.

In one embodiment, the processor, when executing the computer program, further performs the steps of: monitoring behavior data of a user; when the second behavior data is received, a data field is generated according to the second behavior data.

In one embodiment, the processor, when executing the computer program, further performs the steps of: configuring a grade factor according to the service grade type; configuring a factor scene of a grade factor; first behavior data is determined according to the factor scenario.

In one embodiment, the factor scenario is multiple, the processor executes the computer program to implement the first behavior data corresponding to the read level factor, and when the step of calculating the level factor value according to the first behavior data is implemented, the following steps are specifically implemented: determining a plurality of factor scenarios for the level factor; reading user data of each factor scene, wherein the first behavior data comprises the user data of each factor scene; and calculating a grade factor value according to the user data of each factor scene.

In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring the incidence relation of each factor scene; when the processor executes the computer program to realize the step of calculating the grade factor value according to the user data of each factor scene, the following steps are specifically realized: and calculating the grade factor value according to the incidence relation and the user data of each factor scene.

In one embodiment, when the processor executes the computer program to implement the step of calculating the level factor value according to the association relationship and the user data of each factor scenario, the following steps are specifically implemented: when the association relationship comprises an OR relationship, determining factor scenes of the OR relationship, and calculating a grade factor value according to user data of one or more factor scenes in the factor scenes of the OR relationship; when the association relationship comprises the relationship, determining the factor scenes of the relationship, and calculating the grade factor values according to the user data of all the factor scenes in the factor scenes of the relationship; and when the incidence relation comprises a non-relation, determining a non-relation factor scene, and calculating a grade factor value according to the user data of a factor scene in the non-relation factor scenes.

In one embodiment, when the processor executes the computer program to implement the step of calculating the level factor value according to the first behavior data, the following steps are specifically implemented: acquiring a data operation rule corresponding to a pre-configured grade factor, wherein the data operation rule comprises a first operation rule and a second operation rule, the first operation rule is used for calculating a currently increased factor value in a first operation mode, and the second operation rule is used for calculating a currently decreased factor value in a second operation mode; when the first behavior data is determined to be the factor value added behavior data, calculating a currently added factor value by adopting a first operation rule according to the first behavior data, and calculating a grade factor value by using the currently added factor value and a previous factor value; and when the first behavior data is determined to be the factor value reduction behavior data, calculating the currently reduced factor value by adopting a second operation rule according to the first behavior data, and calculating the grade factor value by using the currently reduced factor value and the previous factor value.

In one embodiment, when the processor executes the computer program to implement the step of determining the growth value of the user according to the grade factor value, the following steps are specifically implemented: determining a conversion relation between the level factor value and the growth value of the user; and determining the growth value of the user according to the grade factor value and the conversion relation.

In one embodiment, the processor, when executing the computer program, performs the steps of: setting a plurality of grade levels corresponding to the service grade types; setting a first threshold value and a second threshold value of each grade level, wherein the first threshold value is smaller than the second threshold value; the processor executes the computer program to realize the step of determining the growth value of the user according to the grade factor value, and when the step of determining the grade level of the service grade type of the user according to the growth value is realized, the following steps are specifically realized: and when the length value is greater than the first threshold value of any grade level and less than the second threshold value of any grade level, determining that the service grade type of the user is any grade level.

In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring a service grade type of a user; determining a grade factor of the service grade type, wherein the grade factor is used as an influence factor of the grade of the service grade type; reading first behavior data corresponding to the level factors, and calculating a level factor value according to the first behavior data; and determining the growth value of the user according to the grade factor value, and determining the grade level of the service grade type of the user according to the growth value.

In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a data field of the user, wherein the data field is determined according to second behavior data of the user; and generating the service level type of the user and the level factor of the service level type according to the data field.

In one embodiment, the computer program when executed by the processor further performs the steps of: monitoring behavior data of a user; when the second behavior data is received, a data field is generated according to the second behavior data.

In one embodiment, the computer program when executed by the processor further performs the steps of: configuring a grade factor according to the service grade type; configuring a factor scene of a grade factor; first behavior data is determined according to the factor scenario.

In one embodiment, the factor scenario is multiple, the computer program is executed by the processor to implement the step of reading the first behavior data corresponding to the level factor, and when the step of calculating the level factor value according to the first behavior data is implemented, the following steps are specifically implemented: determining a plurality of factor scenarios for the level factor; reading user data of each factor scene, wherein the first behavior data comprises the user data of each factor scene; and calculating a grade factor value according to the user data of each factor scene.

In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the incidence relation of each factor scene; when the computer program is executed by the processor to realize the step of calculating the grade factor value according to the user data of each factor scene, the following steps are specifically realized: and calculating the grade factor value according to the incidence relation and the user data of each factor scene.

In one embodiment, when the computer program is executed by the processor to implement the step of calculating the level factor value according to the association relationship and the user data of each factor scenario, the following steps are specifically implemented: when the association relationship comprises an OR relationship, determining factor scenes of the OR relationship, and calculating a grade factor value according to user data of one or more factor scenes in the factor scenes of the OR relationship; when the association relationship comprises the relationship, determining the factor scenes of the relationship, and calculating the grade factor values according to the user data of all the factor scenes in the factor scenes of the relationship; and when the incidence relation comprises a non-relation, determining a non-relation factor scene, and calculating a grade factor value according to the user data of a factor scene in the non-relation factor scenes.

In one embodiment, when the computer program is executed by the processor to implement the step of calculating the level factor value according to the first behavior data, the following steps are specifically implemented: acquiring a data operation rule corresponding to a pre-configured grade factor, wherein the data operation rule comprises a first operation rule and a second operation rule, the first operation rule is used for calculating a currently increased factor value in a first operation mode, and the second operation rule is used for calculating a currently decreased factor value in a second operation mode; when the first behavior data is determined to be the factor value added behavior data, calculating a currently added factor value by adopting a first operation rule according to the first behavior data, and calculating a grade factor value by using the currently added factor value and a previous factor value; and when the first behavior data is determined to be the factor value reduction behavior data, calculating the currently reduced factor value by adopting a second operation rule according to the first behavior data, and calculating the grade factor value by using the currently reduced factor value and the previous factor value.

In one embodiment, the computer program when executed by the processor performs the above step of determining the growth value of the user based on the ranking factor value specifically performs the steps of: determining a conversion relation between the level factor value and the growth value of the user; and determining the growth value of the user according to the grade factor value and the conversion relation.

In one embodiment, the computer program when executed by the processor performs the steps of: setting a plurality of grade levels corresponding to the service grade types; setting a first threshold value and a second threshold value of each grade level, wherein the first threshold value is smaller than the second threshold value; when the computer program is executed by the processor to realize the step of determining the growth value of the user according to the grade factor value and determining the grade level of the service grade type of the user according to the growth value, the following steps are specifically realized: and when the length value is greater than the first threshold value of any grade level and less than the second threshold value of any grade level, determining that the service grade type of the user is any grade level.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A user-level information processing method, the method comprising:

acquiring a service grade type of a user;

determining a grade factor of the service grade type, wherein the grade factor is used as an influence factor of the grade of the service grade type;

reading first behavior data corresponding to the level factors, and calculating a level factor value according to the first behavior data;

and determining a growth value of the user according to the grade factor value, and determining the grade level of the service grade type of the user according to the growth value.

2. The method of claim 1, further comprising:

acquiring a data field of the user, wherein the data field is determined according to second behavior data of the user;

generating a service level type of the user and a level factor of the service level type according to the data field;

preferably, the method further comprises:

monitoring the behavior data of the user;

when the second behavior data is received, the data field is generated according to the second behavior data.

3. The method of claim 1, further comprising:

configuring the grade factor according to the service grade type;

configuring a factor scenario of the level factor;

determining the first behavior data according to the factor scenario.

4. The method according to claim 3, wherein the factor scenario is plural, the reading of first behavior data corresponding to the level factor, and the calculating of the level factor value according to the first behavior data comprise:

determining a plurality of factor scenarios for the ranking factor;

reading user data of each factor scene, wherein the first behavior data comprises the user data of each factor scene;

and calculating the grade factor value according to the user data of each factor scene.

5. The method of claim 4, further comprising:

acquiring the incidence relation of the factor scenes;

the calculating the level factor value according to the user data of each factor scenario includes:

calculating the grade factor value according to the incidence relation and the user data of each factor scene;

preferably, the calculating the level factor value according to the association relationship and the user data of each factor scenario includes:

when the incidence relation comprises an OR relation, determining the factor scenes of the OR relation, and calculating the grade factor value according to the user data of one or more factor scenes in the factor scenes of the OR relation;

when the incidence relation comprises a union relation, determining the union factor scene, and calculating the grade factor value according to the user data of all the factor scenes in the union factor scene;

and when the incidence relation comprises a non-relation, determining factor scenes of the non-relation, and calculating the grade factor value according to the user data of one factor scene in the factor scenes of the non-relation.

6. The method of claim 1, wherein said calculating a level factor value from said first behavioral data comprises:

acquiring a data operation rule corresponding to the pre-configured level factor, wherein the data operation rule comprises a first operation rule and a second operation rule, the first operation rule is used for calculating a currently increased factor value in a first operation mode, and the second operation rule is used for calculating a currently decreased factor value in a second operation mode;

when the first behavior data is determined to be factor value added behavior data, calculating a currently added factor value by adopting the first operation rule according to the first behavior data, and calculating the level factor value by using the currently added factor value and a previous factor value;

when the first behavior data is determined to be factor value reduction behavior data, calculating a current reduction factor value by adopting the second operation rule according to the first behavior data, and calculating the level factor value by using the current reduction factor value and a previous factor value;

preferably, the determining the growth value of the user according to the ranking factor value comprises:

determining a conversion relationship between the level factor value and the growth value of the user;

and determining the growth value of the user according to the grade factor value and the conversion relation.

7. The method of claim 1, further comprising:

setting a plurality of grade levels corresponding to the service grade types;

setting a first threshold and a second threshold of each grade level, wherein the first threshold is smaller than the second threshold;

the determining a growth value of the user according to the level factor value and determining a level of a service level type of the user according to the growth value include:

and when the growth value is larger than a first threshold value of any grade level and smaller than a second threshold value of any grade level, determining that the service grade type of the user is any grade level.

8. An information processing apparatus at a user level, the apparatus comprising:

the acquisition module is used for acquiring the service grade type of the user;

a first determining module, configured to determine a level factor of the service level type, where the level factor is used as an influence factor of a level of the service level type;

the calculation module is used for reading first behavior data corresponding to the grade factors and calculating the grade factor value according to the first behavior data;

and the second determining module is used for determining the growth value of the user according to the level factor value and determining the level grade of the service level type of the user according to the growth value.

9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 7 are implemented when the computer program is executed by the processor.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.