CN111861062A - User index management method, device, server and computer readable storage medium - Google Patents
User index management method, device, server and computer readable storage medium Download PDFInfo
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Abstract
The embodiment of the application provides a user index management method, a user index management device, a server and a computer readable storage medium, which relate to the field of user data management, and are characterized by firstly acquiring the use times of each user index used when a crowd is created within a preset time period; then, comparing the use times of each user index with a first preset time; and finally, adjusting the current state of each user index according to the comparison result of the use times of each user index and the first preset times. By comparing the use times of each user index with the first preset times, whether each user index is not used or frequently used can be judged, and the state of each user index is automatically updated according to the use condition of each user index, so that the state of each user index does not need to be maintained manually, the automatic management of the state of each user index is realized, and the time consumption in the user index management process is reduced.
Description
Technical Field
The present application relates to the field of user data management, and in particular, to a user index management method, apparatus, server, and computer-readable storage medium.
Background
In the current era of informatization and internetworking, management and utilization of user data of business companies are the most important matters. In order to increase the utilization value of user data, a tag system is generally established, and a conventional tag system generally comprises the following functional modules: index management, crowd circling and selecting and index putting.
How to improve the efficiency of index management is a very important problem in the user data management process, and at present, a large amount of time is required to be occupied for controlling the online state and the offline state of a user index in the index management process in a manual maintenance mode, so that the user index management efficiency is low.
Disclosure of Invention
In order to overcome at least the above-mentioned deficiencies of the prior art, an object of the present application is to provide a method, an apparatus, a server and a computer-readable storage medium for managing user metrics, so as to solve the technical problem of consuming more time during the status maintenance process of the user metrics.
According to an aspect of embodiments of the present application, there is provided an electronic device that may include one or more storage media and one or more processors in communication with the storage media. One or more storage media store machine-readable instructions executable by a processor. When the electronic device is operated, the processor is communicated with the storage medium through the bus, and the processor executes the machine readable instructions to execute the user index management method.
According to another aspect of the embodiments of the present application, there is provided a user index management method, applied to a server, the method including: acquiring the use times of each user index used when a crowd is created in a preset time period; comparing the use times of each user index with a first preset time; if the number of times of use of the user index is greater than the first preset number of times, detecting whether the current state of the user index is an offline state, and updating the current state of the user index to be an online state when the current state is the offline state; and if the using times of the user index are not more than the first preset times, detecting whether the current state of the user index is an online state, and updating the current state of the user index to be an offline state when the current state is the online state.
In some embodiments of the present application, the method further comprises: obtaining the use effect data of each user index in the preset time period; comparing the use effect data of each user index with first preset use effect data; if the use effect data of the user index is larger than first preset use effect data, detecting whether the current state of the user index is an offline state, and updating the current state of the user index to be an online state when the current state is the offline state; and if the use effect data of the user index is not larger than the first preset use effect data, detecting whether the current state of the user index is an online state, and updating the current state of the user index to be an offline state when the current state is the online state.
In some embodiments of the present application, the method further comprises: comparing the use times of each user index with a second preset time, and comparing the use effect data of each user index with second preset use effect data; if the number of times of use of the user index is greater than a second preset number of times and the use effect data of the user index is greater than the second preset use effect data, detecting whether the current state of the user index is an offline state, and updating the current state of the user index to be an online state when the current state is the offline state; and if the using times of the user index are not more than the second preset times and/or the using effect data of the user index are not more than the second preset using effect data, detecting whether the current state of the user index is in an online state, and updating the current state of the user index to be in an offline state when the current state is in the online state.
In some embodiments of the present application, the step of obtaining the usage effect data of each user index in the preset time period includes: acquiring activity participation data of each crowd participating in different operation activities within the preset time period; and determining the use effect data of the user index corresponding to each crowd according to the activity participation data.
In some embodiments of the present application, the operational activity comprises issuing a coupon, issuing a push, or resource bit; the step of obtaining activity participation data of each crowd participating in different operation activities within the preset time period comprises the following steps: when the operation activity is the issuing of the coupon, calculating activity participation data of the crowd participating in the operation activity according to the verification and sale rate and/or the repurchase rate of the coupon; when the operation activity is pushing, calculating activity participation data of the crowd participating in the operation activity according to the pushing touch rate and/or opening rate; and when the operation activity is the resource position, calculating the activity participation data of the crowd participating in the operation activity according to the click rate and/or the conversion rate of the resource position.
In some embodiments of the present application, the method further comprises: and updating a user index group comprising a plurality of user indexes according to the use effect data of the user indexes of different crowds in different operation activities.
In some embodiments of the present application, the step of updating a user index group including a plurality of user indexes according to usage effect data of user indexes of different groups in different operation activities includes: carrying out logic splitting on the existing index group to obtain a plurality of independent user indexes; and logically combining at least one separated user index obtained by splitting with at least one separated user index with the use effect data in the preset time period larger than the first preset use effect data or the second preset use effect data to obtain a new user index group.
In some embodiments of the present application, the method further comprises: establishing a corresponding relation between the user indexes and activity participation data of different operation activities by training an operation activity effect estimation model through characteristics of the user indexes corresponding to the crowds, characteristics of the operation activities participated by the crowds and the activity participation data of the activities participated by the crowds; the characteristics of the user indexes comprise the types of the indexes, the using methods of the indexes or the service fields of the indexes, and the characteristics of the operation activities comprise the activity duration, preferential strength, marketing modes or budget data; inputting the characteristics of the operation activities needing to be retrieved into the trained operation activity effect estimation model, and retrieving to obtain the user indexes of the activity participation data meeting the operation activities needing to be retrieved.
According to another aspect of the embodiments of the present application, there is provided a user index management apparatus, applied to a server, the apparatus including: the acquisition module is used for acquiring the use times of each user index used when the crowd is created in a preset time period; the comparison module is used for comparing the use times of each user index with a first preset time; the detection and update module is used for detecting whether the current state of the user index is an offline state or not if the using times of the user index are larger than the first preset times, and updating the current state of the user index to be an online state when the current state is the offline state; the detection and update module is further configured to detect whether the current state of the user index is an online state if the number of times of use of the user index is not greater than the first preset number of times, and update the current state of the user index to an offline state when the current state is the online state.
In some embodiments of the present application, the obtaining module is further configured to obtain usage effect data of each user index within the preset time period; the comparison module is also used for comparing the use effect data of each user index with first preset use effect data; the detection and update module is further configured to detect whether the current state of the user index is an offline state if the usage effect data of the user index is greater than first preset usage effect data, and update the current state of the user index to an online state when the current state is the offline state; the detection and update module is further configured to detect whether the current state of the user index is an online state if the usage effect data of the user index is not greater than first preset usage effect data, and update the current state of the user index to an offline state when the current state is the online state.
In some embodiments of the application, the comparing module is further configured to compare the number of times of use of each user index with a second preset number of times, and compare the usage effect data of each user index with a second preset usage effect data; the detection and update module is further configured to detect whether the current state of the user index is an offline state if the number of times of use of the user index is greater than a second preset number of times and the usage effect data of the user index is greater than the second preset usage effect data, and update the current state of the user index to an online state when the current state is the offline state; and if the using times of the user index are not more than the second preset times and/or the using effect data of the user index are not more than the second preset using effect data, detecting whether the current state of the user index is in an online state, and updating the current state of the user index to be in an offline state when the current state is in the online state.
In some embodiments of the present application, the obtaining module comprises: the acquisition submodule is used for acquiring activity participation data of each crowd participating in different operation activities in the preset time period; and the determining submodule is used for determining the use effect data of the user index corresponding to each crowd according to the activity participation data.
In some embodiments of the present application, the operational activity comprises issuing a coupon, issuing a push, or resource bit; the obtaining submodule is specifically configured to: when the operation activity is the issuing of the coupon, calculating activity participation data of the crowd participating in the operation activity according to the verification and sale rate and/or the repurchase rate of the coupon; when the operation activity is pushing, calculating activity participation data of the crowd participating in the operation activity according to the pushing touch rate and/or opening rate; and when the operation activity is the resource position, calculating the activity participation data of the crowd participating in the operation activity according to the click rate and/or the conversion rate of the resource position.
In some embodiments of the present application, the apparatus further comprises: and the updating module is used for updating a user index group comprising a plurality of user indexes according to the use effect data of the user indexes of different crowds in different operation activities.
In some embodiments of the present application, the update module is specifically configured to: carrying out logic splitting on the existing index group to obtain a plurality of independent user indexes; and logically combining at least one separated user index obtained by splitting with at least one separated user index with the use effect data in the preset time period larger than the first preset use effect data or the second preset use effect data to obtain a new user index group.
In some embodiments of the present application, the apparatus further comprises: the model training module is used for training an operation activity effect estimation model through the characteristics of user indexes corresponding to crowds, the characteristics of operation activities participated by the crowds and activity participation data of the crowds participating in the operation activities, and establishing the corresponding relation between the user indexes and the activity participation data of different operation activities; the characteristics of the user indexes comprise the types of the indexes, the using methods of the indexes or the service fields of the indexes, and the characteristics of the operation activities comprise the activity duration, preferential strength, marketing modes or budget data; and the index retrieval module is used for inputting the characteristics of the operation activities needing to be retrieved into the trained operation activity effect estimation model and retrieving the user indexes of the activity participation data meeting the operation activities needing to be retrieved.
According to another aspect of the embodiments of the present application, there is provided a computer-readable storage medium having a computer program stored thereon, where the computer program is executed by a processor to perform the steps of the user index management method.
Based on any one of the above aspects, in the embodiment of the present application, first, the number of times of use of each user index used when a group is created within a preset time period is obtained; then, comparing the use times of each user index with a first preset time; and finally, adjusting the current state of each user index according to the comparison result of the use times of each user index and the first preset times. By comparing the use times of each user index with the first preset times, whether each user index is not used or frequently used can be judged, and the state of each user index is automatically updated according to the use condition of each user index, so that the state of each user index can be maintained without a manual mode, the automatic management of the state of each user index is realized, and the time consumption in the user index management process is reduced.
In order to make the aforementioned objects, features and advantages of the embodiments of the present application more comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic diagram illustrating an application scenario provided in an embodiment of the present application;
FIG. 2 illustrates a schematic diagram of exemplary hardware and software components of an electronic device that may implement the user terminal and the server of FIG. 1 provided by an embodiment of the present application;
FIG. 3 is a flowchart illustrating a user index management method according to an embodiment of the present disclosure;
fig. 4 is a second flowchart illustrating a user index management method according to an embodiment of the present application;
FIG. 5 is a flow chart illustrating the sub-steps of step S401 in FIG. 4;
fig. 6 is a third flowchart illustrating a user index management method according to an embodiment of the present application;
FIG. 7 illustrates one of the functional block diagrams of a user metric management apparatus provided in an embodiment of the present application;
Fig. 8 shows a second functional block diagram of a user index management apparatus according to an embodiment of the present application.
Detailed Description
In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of protection of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some of the embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.
In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.
In order to solve the technical problem in the background art, embodiments of the present application provide a user index management method, an apparatus, a server, and a computer-readable storage medium. Firstly, acquiring the use times of each user index used when a crowd is created in a preset time period; then, comparing the use times of each user index with a first preset time; and finally, adjusting the current state of each user index according to the comparison result of the use times of each user index and the first preset times. By comparing the use times of each user index with the first preset times, whether each user index is not used or frequently used can be judged, and the state of each user index is automatically updated according to the use condition of each user index, so that the user index state does not need to be maintained manually, the automatic management of the user index state is realized, and the time consumption in the user index management process is reduced.
Fig. 1 is a schematic application scenario diagram of a user index management method according to an alternative embodiment of the present application. In this application scenario, the server 100, the user terminal 200, and the network 300 are included, and the server 100 is communicatively connected to the user terminal 200 through the network 300.
In the embodiment of the present application, the user terminal 200 may run any software (e.g., dribble trip, brave bicycle, naughty, etc.) providing internet services (e.g., taxi taking service, shared bicycle service, online shopping service, etc.), and the user may obtain the internet services through a user interface provided by the software running on the user terminal 200. User terminal 200 may comprise a mobile device, a tablet computer, a laptop computer, or a built-in device in a motor vehicle, etc., or any combination thereof. In some embodiments, the mobile device may also include a smart home device, a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, or the like, or any combination thereof. In some embodiments of the present application, the smart home devices may include smart lighting devices, control devices of smart electrical devices, smart monitoring devices, smart televisions, smart cameras, or interphones, or any combination thereof. In some embodiments, the wearable device may include a smart bracelet, a smart lace, smart glass, a smart helmet, a smart watch, a smart garment, a smart backpack, a smart accessory, and the like, or any combination thereof. In some embodiments, the smart mobile device may include a smartphone, a Personal Digital Assistant (PDA), a gaming device, a navigation device, or a point of sale (POS) device, or the like, or any combination thereof. In some embodiments, the virtual reality device and/or the augmented reality device may include a virtual reality helmet, virtual reality glass, a virtual reality patch, an augmented reality helmet, augmented reality glass, an augmented reality patch, or the like, or any combination thereof. For example, the virtual reality device and/or augmented reality device may include various virtual reality products and the like. In some embodiments, the built-in devices in the motor vehicle may include an on-board computer, an on-board television, and the like.
The server 100 may be a single server or a group of servers. The set of servers may be centralized or distributed (e.g., server 100 may be a distributed system). In this embodiment, the server 100 includes a database for storing user data such as user registration information and user operation information, where the user registration information includes user indexes (e.g., user age, user gender, and location of the user) of a corresponding group of the user when the group of the user is created. In some embodiments of the present application, the server 100 may be local or remote with respect to the user terminal 200. In some embodiments, the server 100 may be implemented on a cloud platform; by way of example only, the Cloud platform may include a private Cloud, a public Cloud, a hybrid Cloud, a Community Cloud, a distributed Cloud, a cross-Cloud (Inter-Cloud), a Multi-Cloud (Multi-Cloud), and the like, or any combination thereof.
In some embodiments of the present application, the server 100, the user terminal 200 may be implemented on an electronic device 10 having one or more components shown in fig. 2 in the present application.
Fig. 2 illustrates a schematic diagram of exemplary hardware and software components of an electronic device 10 that may implement the concepts of the present application according to some embodiments of the present application.
The electronic device 10 may be a general-purpose computer or a special-purpose computer, and although only one computer is illustrated in the present application, for convenience, the user index management method described in the present application may be implemented in a distributed manner on a plurality of similar platforms to improve the management efficiency of the user index.
In the present embodiment, the electronic device 10 may include a network port 11 connected to a network, one or more processors 12 for executing program instructions, a communication bus 13, and a storage medium 14 of a different form, such as a disk, ROM, or RAM, or any combination thereof. Illustratively, the electronic device 10 may also include program instructions stored in ROM, RAM, or other types of non-transitory storage media, or any combination thereof. According to the program instructions, the user index management method provided by the application can be realized. The electronic device 10 may also include an Input/Output (I/O) interface 15 between the computer and other Input/Output devices (e.g., keyboard, display screen).
For ease of illustration, only one processor 12 is depicted in the electronic device 10. However, it should be noted that the electronic device 10 in the present application may also comprise a plurality of processors 12, and thus the steps performed by one processor described in the present application may also be performed by a plurality of processors 12 in combination or individually. For example, if the processor 12 of the electronic device 10 performs steps a and B, it should be understood that steps a and B may also be performed by two different processors 12 together or performed separately in one processor 12. For example, a first processor performs step a and a second processor performs step B, or the first processor and the second processor perform steps a and B together.
Fig. 3 illustrates a flow diagram of a user metric management method of some embodiments of the present application, which may be performed by the server 100 shown in fig. 1. It should be understood that, in other embodiments, the order of some steps in the user index management method described in this embodiment of the present application may be exchanged according to actual needs, or some steps may be omitted or deleted. The following describes the detailed steps of the user index management method.
In step S301, the number of times of use of each user index used when creating a group within a preset time period is acquired.
In the embodiment of the present application, the preset time period may be preset, for example, set to one month or two months. According to the difference of the internet services provided by the server 100, the classification of people also exists, and taking the internet service provided by the server 100 as the driving service as an example, people can be divided into drivers and passengers, and further divided into segments, the drivers can be divided into windward drivers, express drivers, high-quality drivers or special drivers, and the like, and the passengers can be divided into silver passengers, gold passengers or platinum passengers, and the like; taking the internet service provided by the server 100 as an internet shopping service as an example, the crowd can be divided into merchants and buyers, and further divided, and the merchants and the buyers can also be divided into different grades.
When the user registers through the user terminal 200, the server 100 displays a registration information interface through a display interface of the user terminal 200, where the registration information interface requires the user to fill in information corresponding to the user index, or for example, when the registered user is a driver, the user index that the user needs to fill in may include: driver ID, registered city, driver age, driver gender, driver's real name, driver's contact phone, driving qualification or driver's valid identification number, etc.; when the registered user is a passenger, the user indexes that the user needs to fill in may include: the passenger's ID, the passenger's real name, the passenger's contact phone, the passenger's valid identification document number, etc. In the registration process, the user indexes in the registration information interface may include a compulsory user index and an optional user index, for example, when the registered user is a driver, the compulsory user index may include an ID of the driver, a registered city, a real name of the driver, a contact telephone of the driver, a driving qualification certificate and a valid identification document number of the driver; the optional fill-in user indicators may include driver age and driver gender. It is understood that, in the above registration process, the user indexes in the registration information interface may be all selectable filling user indexes, and the requirement for filling the registration information may be met by selecting at least a preset number (for example, 4) of user indexes shown in the registration information interface to fill the corresponding information.
After the user fills in the user registration information through the user terminal 200, the user terminal 200 transmits the filled user registration information to the server 100, and the server 100 stores the user registration information and obtains the number of times of use of the user index corresponding to each group by analyzing all user registration information of the created group (e.g., passenger and driver) registered within a preset time period. Specifically, in a user registration message, if a certain user index fills in corresponding index information, adding 1 to the number of times of use of the user index; and if the corresponding index information is not filled in by a certain user index, adding 0 to the number of times of using the user index.
Step S302, judging whether the using times of each user index is larger than a first preset time.
In order to detect the usage frequency of each user index, a first preset number of times is configured in the server 100, and the server 100 judges the usage frequency of each user index by comparing the usage number of times with the first preset number of times. If the using times of the user index are larger than the first preset times, the user index is high in using frequency when the crowd is created; if the number of times of use of the user index is not greater than the first preset number of times, it indicates that the frequency of use of the user index is low when the crowd is created. When the number of times of use of the user index is greater than a first preset number of times, the method goes to step S303; when the number of times of use of the user index is not greater than the first preset number of times, the process proceeds to step S304.
Step S303, detecting whether the current state of the user indicator is the offline state.
In this embodiment of the application, the server 100 is configured with the user index and maintains the user index, specifically, the server 100 may maintain the user index through a current state of the user index, where the current state of the user index includes an online state and an offline state.
In this embodiment, the server 100 may maintain the state of the user index through the state information table. The display mode of the user index in different states may be different on the registration information interface displayed on the user terminal 200. In one embodiment, when the current state of the user index is an online state, the user index is displayed on a registration information interface, and a user only needs to perform information input operation at a position corresponding to the user index; when the current state of the user indexes is the offline state, all the user indexes in the offline state are not directly displayed on the registration information interface, but are hidden under a control with the name of other user indexes in the registration information interface, when the user does not find the user indexes meeting the self requirement in the displayed user indexes, the other user indexes in the offline state can be obtained by clicking the control, and after a certain user index in the offline state is selected, the user can input corresponding index information. It should be understood that the above description is only for illustrating one possible implementation manner of the user index on the registration information interface when the user index is in different states, and should not be construed as a limiting description of the present application, as long as the user index in the online state on the registration information interface can directly input the index information, and the user index in the offline state on the registration information interface cannot directly input the index information. For another example, in other embodiments of this embodiment, the user indexes of the online state and the offline state may be displayed on the registration information interface at the same time, where the user index of the online state may directly perform index information input, and the user index of the online state does not require the user to activate the corresponding user index first and then perform index information input, where the activation manner may be to double-click the location of the user index. The setting can lead the user to intuitively feel that the user indexes are online indexes and offline indexes, and provides basis for the state updating of the subsequent user indexes by recording the operation that the user selects different user indexes on the registration information interface.
In the embodiment of the present application, after the server 100 creates the user index of the crowd, the current state of the created user index is defaulted to the online state. When the user performs the crowd registration, the server 100 determines whether the state of the user index needs to be adjusted according to the user registration information fed back by the user terminal 200 within a preset time period.
In the embodiment of the present application, if it is detected that the current state of the user index is the online state, step S305 is performed to maintain the current state of the user index; if the current status of the user index is detected to be the offline status, the method proceeds to step S306.
Step S306, the current state of the user index is updated to be the online state.
After the current state of the user index is updated to the online state, the user can directly input the index information corresponding to the user index in the subsequent user registration process.
Step S304, detecting whether the current state of the user index is an online state.
In the embodiment of the present application, if it is detected that the current state of the user index is an online state, step S307 is performed; if it is detected that the current status of the user indicator is offline, step S305 is performed to maintain the current status of the user indicator.
Step S307, the current status of the user index is updated to the offline status.
After the current state of the user index is updated to the offline state, the user cannot directly input the index information corresponding to the user index in the subsequent user registration process.
In the above scheme, the use times of each user index is compared with the first preset times, so that whether each user index is not used or frequently used can be judged, and the state of each user index is automatically updated according to the use condition of each user index.
In the embodiment of the present application, the current state of each user index may also be updated according to the usage effect data of each user index, please refer to fig. 4, where the method for managing user indexes provided in the embodiment of the present application may further include the following steps:
step S401, obtaining the use effect data of each user index in a preset time period.
Referring to fig. 5, in the embodiment of the present application, step S401 may be implemented by the following sub-steps:
The substep S401a is to obtain activity participation data of each crowd participating in different operation activities within a preset time period;
the operation activity refers to an online activity provided by software providing internet service, and the operation activity may include issuing a coupon, sending a push or a resource location, and the resource location may be an advertisement location for displaying advertisement information on a visual interface.
Specifically, when the operation activities are different, the sub-step S401a determines the activity participation data of each crowd participating in different operation activities according to different evaluation criteria.
When the operation activity is the issuing of the coupon, calculating activity participation data of the crowd participating in the operation activity according to the verification and sale rate and/or the repurchase rate of the coupon; wherein, the verification and sale rate refers to the proportion of verifying the redemption or the use of the coupon, and the repurchase rate refers to the proportion of multiple times of consumption through the coupon.
When the operation activity is pushing, calculating activity participation data of the crowd participating in the operation activity according to the pushing touch rate and/or opening rate; here, the reach rate refers to a ratio of the server 100 successfully sending the push to the user terminal 200, and the open rate refers to a ratio of the user opening the push information.
When the operation activity is a resource position, calculating activity participation data of the crowd participating in the operation activity according to the click rate and/or the conversion rate of the resource position; the click rate refers to the ratio of clicking to open a resource slot (such as advertisement information), and the conversion rate refers to the ratio of performing secondary transaction after clicking the resource slot.
In the embodiment of the application, the larger the activity participation data is, the higher the enthusiasm of the crowd in participating in the operation activity is, and the better the effect of the crowd in participating in the operation activity is; conversely, it means that the lower the enthusiasm of the crowd in participating in the operation activity, the worse the effect of the crowd in participating in the operation activity.
And a substep S401b of determining the usage effectiveness data of the user index corresponding to each crowd according to the activity participation data.
Specifically, when calculating the usage effect data of the user index, the usage times of each user index of the crowd users participating in the operation activity are counted according to the activity participation data of the crowd users participating in the operation activity and the registration information of the crowd users participating in the operation activity, and the usage effect data of the corresponding user index is obtained according to the usage times of each user index of the crowd users participating in the operation activity. For example, taking the example that the passenger (crowd) participates in the coupon (operation activity), the number of times of each user index of the passenger who participates in the coupon activity is counted, and if the age of the passenger is the user index with the largest number of times, the user index, which indicates the age of the passenger, has a better use effect on the operation activity of the coupon. In this embodiment, the usage effect data of the user index may be obtained by dividing the number of times of each user index in the group participating in the operation activity by the number of users of the group participating in the operation activity, and the larger the usage effect data is, the better the usage effect is, otherwise, the worse the usage effect is.
Step S402, judging whether the use effect data of each user index is larger than first preset use effect data.
In order to detect the usage effect of each user index, first preset usage effect data is configured in the server 100. If the use effect data of the user index is larger than the first preset use effect data, the user index has a good use effect in the operation activity; and if the use effect data of the user index is not greater than the first preset use effect data, the use effect of the user index is poor in operation activities. When the usage effect data of the user index is larger than the first preset usage effect data, the method goes to step S403; and when the use effect data of the user index is not larger than the first preset use effect data, the step S404 is entered.
Step S403, detecting whether the current status of the user indicator is offline.
In the embodiment of the present application, if it is detected that the current state of the user index is the online state, step S405 is performed to maintain the current state of the user index; if the current status of the user index is detected to be the offline status, the process proceeds to step S406.
Step S406, the current state of the user index is updated to the online state.
Step S404, detecting whether the current state of the user index is an online state.
In the embodiment of the present application, if it is detected that the current state of the user index is the online state, step S407 is entered; if it is detected that the current state of the user indicator is the offline state, step S405 is performed to maintain the current state of the user indicator.
Step S407, the current status of the user index is updated to the offline status.
The present application embodiment may also update the current state of each user index by combining the usage effect data of each user index with the usage times of each user index, and further, the user index management method provided in the present application embodiment may further include the following steps:
firstly, the using times of each user index are compared with a second preset time, and the using effect data of each user index are compared with second preset using effect data.
And then, if the using times of the user index are greater than a second preset time and the using effect data of the user index are greater than a second preset using effect data, detecting whether the current state of the user index is an offline state, and updating the current state of the user index to be an online state when the current state is the offline state.
And when the using times of the user index are not more than the second preset times and/or the using effect data of the user index are not more than the second preset using effect data, updating the current state of the user index into the offline state when the current state of the user index is detected to be the online state.
With the increase of the number of created user indexes, in order to reduce the management complexity of the user indexes, different user indexes may be combined together through a logical relationship to form a user index group, however, with the development of a service, the existing user index group may not meet the current requirement, and in order to solve the problem, the user index management method may further include:
and updating a user index group comprising a plurality of user indexes according to the use effect data of the user indexes of different crowds in different operation activities.
Specifically, a specific implementation manner of updating the user index group including a plurality of user indexes may be as follows:
firstly, logically splitting an existing index group to obtain a plurality of independent user indexes;
and then, logically combining at least one separated user index obtained by splitting with at least one separated user index with the use effect data in the preset time period being larger than the first preset use effect data or the second preset use effect data to obtain a new user index group.
Specifically, a specific example is described below, and assuming that the existing user index group is "the id and/or passenger telephone number of the passenger", the use effect data of the index group is found to be bad through data fed back to a certain operation activity (e.g., push activity), and the use effect data of the user index "the passenger's gender" for the operation activity is good. In order to obtain the usage effect data that can embody the better operation activity, and update the user index group again, first, the "passenger ID and/or passenger phone number" may be split to obtain the individual user indexes "passenger ID" and "passenger phone number", and the split user index and the user index "passenger gender" may be combined to obtain the updated user index group, for example, "passenger ID and/or passenger gender".
By the method, the user index group can be automatically updated, the user indexes are not required to be manually combined after the existing user index group is split, time consumption in the user index management process can be saved, and the efficiency of user index management is improved.
Further, referring to fig. 6, the user index management method provided in the embodiment of the present application may further include the following steps:
Step S601, training an operation activity effect estimation model through characteristics of user indexes corresponding to crowds, characteristics of operation activities participated by the crowds and activity participation data of the crowds participating in the operation activities, and establishing a corresponding relation between the user indexes and the activity participation data of different operation activities.
The characteristics of the user index comprise the type of the index, the using method of the index or the business field (such as orders, behaviors or vehicles) of the index, and the characteristics of the operation activity comprise the duration of the activity, the preferential strength, the marketing mode or budget data.
In the embodiment of the application, a common CTR pre-estimation model in an advertisement system can be used to create an operation activity effect pre-estimation model, the operation activity effect pre-estimation model is trained according to the characteristics of user indexes corresponding to crowds, the characteristics of operation activities participated by the crowds and activity participation data of the crowds participating in the operation activities, and an association relationship is established between the characteristics and the activity participation data of the crowds participating in the operation activities.
Step S602, inputting the characteristics of the operation activities to be searched into the trained operation activity effect estimation model, and searching to obtain the user indexes of the activity participation data meeting the operation activities to be searched.
When the user inputs the characteristics of the operation activities to be retrieved (such as activity duration, preferential strength, marketing mode or budget data), the user indexes of the activity participation data meeting the operation activities to be retrieved can be retrieved through the trained operation activity effect estimation model. And recommending the user indexes meeting the conditions in sequence according to the use effect data of each user index. In the process, the model is trained by adopting the historical data, the user indexes meeting the conditions can be quickly searched according to the trained model during searching, the problem that the speed of searching the user indexes meeting the conditions is low under the condition that the user indexes are more in the prior art can be solved, and the searching speed of the user indexes is improved.
The user index management method provided in the above embodiment includes first obtaining the number of times of use of each user index used when a group is created within a preset time period; then, comparing the use times of each user index with a first preset time; and finally, adjusting the current state of each user index according to the comparison result of the use times of each user index and the first preset times. By comparing the use times of each user index with the first preset times, whether each user index is not used or frequently used can be judged, and the state of each user index is automatically updated according to the use condition of each user index, so that the user index state does not need to be maintained manually, the automatic management of the user index state is realized, and the time consumption in the user index management process is reduced.
Fig. 7 shows a functional block diagram of the user index management device 110 according to some embodiments of the present application, where the functions implemented by the user index management device 110 correspond to the steps performed by the above-described method. The apparatus may be understood as the server 100 or a processor of the server 100, or may be understood as a component that is independent from the server 100 or the processor and implements the functions of the present application under the control of the server 100, as shown in fig. 7, the user index management apparatus 110 may include an obtaining module 1101, a comparing module 1102, and a detecting and updating module 1103.
The obtaining module 1101 may be configured to obtain the number of times of use of each user index used when creating the group within a preset time period.
It is understood that the obtaining module 1101 can be configured to perform the step S301, and for detailed implementation of the obtaining module 1101, reference can be made to the content related to the step S301.
The comparing module 1102 may be configured to compare the number of times of use of each user index with a first preset number of times.
It is understood that the comparing module 1102 may be configured to perform the step S302, and for a detailed implementation of the obtaining module 1101, reference may be made to the content related to the step S302.
The detecting and updating module 1103 may be configured to detect whether the current state of the user indicator is an offline state if the number of times of use of the user indicator is greater than the first preset number of times, and update the current state of the user indicator to an online state when the current state is the offline state; and if the number of times of use of the user index is not greater than the first preset number of times, detecting whether the current state of the user index is an online state, and updating the current state of the user index to be an offline state when the current state is the online state.
It is understood that the detecting and updating module 1103 can perform the steps S303 to S307, and the detailed implementation of the detecting and updating module 1103 can refer to the contents of the steps S303 to S307.
Further, in other embodiments of the present application, the obtaining module 1101 may be further configured to obtain usage effect data of each user index in a preset time period.
In the embodiment of the present application, the preset time period may be preset, for example, set to one month or two months. According to the difference of the internet services provided by the server 100, the classification of people also exists, and taking the internet service provided by the server 100 as the driving service as an example, people can be divided into drivers and passengers, and further divided into segments, the drivers can be divided into windward drivers, express drivers, high-quality drivers or special drivers, and the like, and the passengers can be divided into silver passengers, gold passengers or platinum passengers, and the like; taking the internet service provided by the server 100 as an internet shopping service as an example, the crowd can be divided into merchants and buyers, and further divided, and the merchants and the buyers can also be divided into different grades.
After the user fills in the user registration information through the user terminal 200, the user terminal 200 transmits the filled user registration information to the server 100, and the server 100 stores the user registration information and obtains the number of times of use of the user index corresponding to each group by analyzing all user registration information of the created group (e.g., passenger and driver) registered within a preset time period. Specifically, in a user registration message, if a certain user index fills in corresponding index information, adding 1 to the number of times of use of the user index; and if the corresponding index information is not filled in by a certain user index, adding 0 to the number of times of using the user index.
It is understood that the obtaining module 1101 can also be used to execute the step S401, and for the detailed implementation of the obtaining module 1101, reference can be made to the contents related to the step S401.
The comparing module 1102 is further configured to compare the usage effect data of each user index with first preset usage effect data.
It is understood that the comparing module 1102 may be configured to perform the step S402, and the detailed implementation of the comparing module 1102 may refer to the content related to the step S402.
The detecting and updating module 1103 is further configured to detect whether the current state of the user index is an offline state if the usage effect data of the user index is greater than first preset usage effect data, and update the current state of the user index to an online state when the current state is the offline state; and if the use effect data of the user index is not larger than first preset use effect data, detecting whether the current state of the user index is an online state, and updating the current state of the user index to be an offline state when the current state is the online state.
It is understood that the detecting and updating module 1103 may perform the above steps S403 to S407, and reference may be made to the above contents related to the steps S403 to S407 for the detailed implementation of the detecting and updating module 1103.
Further, in other embodiments of the present application, the comparing module 1102 may be further configured to compare the number of times of use of each user index with a second preset number of times, and compare the usage effect data of each user index with a second preset usage effect data;
the detecting and updating module 1103 is further configured to detect whether the current state of the user index is an offline state if the number of times of use of the user index is greater than a second preset number of times and the usage effect data of the user index is greater than the second preset usage effect data, and update the current state of the user index to an online state when the current state is the offline state; and if the using times of the user index are not more than the second preset times and/or the using effect data of the user index are not more than the second preset using effect data, detecting whether the current state of the user index is in an online state, and updating the current state of the user index to be in an offline state when the current state is in the online state.
Referring to fig. 8, in the embodiment of the present application, the obtaining module 1101 may include a obtaining sub-module 1101a and a determining sub-module 1101 b.
The obtaining sub-module 1101a may be configured to obtain activity participation data of each crowd participating in different operation activities within the preset time period;
the determining sub-module 1101b may be configured to determine, according to the activity participation data, usage effect data of the user index corresponding to each crowd.
In the embodiment of the present application, the operation activity includes issuing a coupon, issuing a push or resource bit; the obtaining sub-module 1101a is specifically configured to:
when the operation activity is the issuing of the coupon, calculating activity participation data of the crowd participating in the operation activity according to the verification and sale rate and/or the repurchase rate of the coupon;
when the operation activity is pushing, calculating activity participation data of the crowd participating in the operation activity according to the pushing touch rate and/or opening rate;
and when the operation activity is the resource position, calculating the activity participation data of the crowd participating in the operation activity according to the click rate and/or the conversion rate of the resource position.
Referring to fig. 8 again, in the embodiment of the present application, the user index management apparatus 110 may include an updating module 1104.
An updating module 1104, configured to update a user index group including multiple user indexes according to usage effect data of the user indexes of different groups in different operation activities.
The updating module 1104 is specifically configured to:
carrying out logic splitting on the existing index group to obtain a plurality of independent user indexes;
and logically combining at least one separated user index obtained by splitting with at least one separated user index with the use effect data in the preset time period larger than the first preset use effect data or the second preset use effect data to obtain a new user index group.
Referring to fig. 8 again, in the embodiment of the present application, the user index management apparatus 110 may include a model training module 1105 and an index retrieving module 1106.
The model training module 1105 may be configured to train an operation activity effect estimation model according to characteristics of user indexes corresponding to the crowd, characteristics of operation activities in which the crowd participates, and activity participation data in which the crowd participates in the operation activities, and establish a correspondence between the user indexes and the activity participation data of different operation activities; the characteristics of the user indexes comprise the types of the indexes, the using methods of the indexes or the service fields of the indexes, and the characteristics of the operation activities comprise the activity duration, preferential strength, marketing modes or budget data;
The index retrieval module 1106 may be configured to input the characteristics of the operation activities to be retrieved into the trained operation activity effect estimation model, and retrieve the user indexes of the activity participation data that satisfy the operation activities to be retrieved.
The embodiment of the application also provides a readable storage medium, wherein the readable storage medium stores computer-executable instructions, and the computer-executable instructions can execute the user index management method in any method embodiment.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to corresponding processes in the method embodiments, and are not described in detail in this application. In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and there may be other divisions in actual implementation, and for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or modules through some communication interfaces, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (11)
1. A user index management method is applied to a server, and the method comprises the following steps:
acquiring the use times of each user index used when a crowd is created in a preset time period;
comparing the use times of each user index with a first preset time;
if the number of times of use of the user index is greater than the first preset number of times, detecting whether the current state of the user index is an offline state, and updating the current state of the user index to be an online state when the current state is the offline state;
and if the using times of the user index are not more than the first preset times, detecting whether the current state of the user index is an online state, and updating the current state of the user index to be an offline state when the current state is the online state.
2. The method of claim 1, wherein the method further comprises:
obtaining the use effect data of each user index in the preset time period;
comparing the use effect data of each user index with first preset use effect data;
if the use effect data of the user index is larger than first preset use effect data, detecting whether the current state of the user index is an offline state or not, and updating the current state of the user index to be an online state when the current state is the offline state;
and if the use effect data of the user index is not larger than the first preset use effect data, detecting whether the current state of the user index is an online state, and updating the current state of the user index to be an offline state when the current state is the online state.
3. The method of claim 2, wherein the method further comprises:
comparing the use times of each user index with a second preset time, and comparing the use effect data of each user index with second preset use effect data;
if the number of times of use of the user index is greater than a second preset number of times and the use effect data of the user index is greater than the second preset use effect data, detecting whether the current state of the user index is an offline state, and updating the current state of the user index to be an online state when the current state is the offline state;
And if the using times of the user index are not more than the second preset times and/or the using effect data of the user index are not more than the second preset using effect data, detecting whether the current state of the user index is in an online state or not, and updating the current state of the user index to be in an offline state when the current state is in the online state.
4. The method of claim 2, wherein the step of obtaining the usage effect data for each user metric within the preset time period comprises:
acquiring activity participation data of each crowd participating in different operation activities within the preset time period;
and determining the use effect data of the user index corresponding to each crowd according to the activity participation data.
5. The method of claim 4, wherein the operational activity comprises issuing a coupon, issuing a push, or resource bit; the step of obtaining activity participation data of each crowd participating in different operation activities within the preset time period comprises the following steps:
when the operation activity is the issuing of the coupon, calculating activity participation data of the crowd participating in the operation activity according to the verification and sale rate and/or the repurchase rate of the coupon;
When the operation activity is pushing, calculating activity participation data of the crowd participating in the operation activity according to the pushing touch rate and/or opening rate;
and when the operation activity is the resource position, calculating the activity participation data of the crowd participating in the operation activity according to the click rate and/or the conversion rate of the resource position.
6. The method of claim 2, wherein the method further comprises: and updating a user index group comprising a plurality of user indexes according to the use effect data of the user indexes of different crowds in different operation activities.
7. The method of claim 6, wherein the updating the user index group comprising a plurality of user indexes according to the usage effect data of the user indexes of different groups in different operation activities comprises:
carrying out logic splitting on the existing index group to obtain a plurality of independent user indexes;
and logically combining at least one separated user index obtained by splitting with at least one separated user index with the use effect data in the preset time period larger than the first preset use effect data or the second preset use effect data to obtain a new user index group.
8. The method of any one of claims 1-7, further comprising:
establishing a corresponding relation between the user indexes and activity participation data of different operation activities by training an operation activity effect estimation model through characteristics of the user indexes corresponding to the crowds, characteristics of the operation activities participated by the crowds and the activity participation data of the activities participated by the crowds; the characteristics of the user indexes comprise the types of the indexes, the using methods of the indexes or the service fields of the indexes, and the characteristics of the operation activities comprise the activity duration, preferential strength, marketing modes or budget data;
inputting the characteristics of the operation activities needing to be retrieved into the trained operation activity effect estimation model, and retrieving to obtain the user indexes of the activity participation data meeting the operation activities needing to be retrieved.
9. A user index management device is applied to a server, and the device comprises:
the acquisition module is used for acquiring the use times of each user index used when the crowd is created in a preset time period;
the comparison module is used for comparing the use times of each user index with a first preset time;
The detection and update module is used for detecting whether the current state of the user index is an offline state or not if the using times of the user index are larger than the first preset times, and updating the current state of the user index to be an online state when the current state is the offline state;
the detecting and updating module is further configured to detect whether the current state of the user index is an online state if the number of times of use of the user index is not greater than the first preset number of times, and update the current state of the user index to an offline state when the current state is the online state.
10. A server, comprising: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating over the bus when the server is running, the processor executing the machine-readable instructions to perform the steps of the user metric management method of any of claims 1-8.
11. A computer-readable storage medium, having stored thereon a computer program for performing, when being executed by a processor, the steps of the user metric management method according to any of the claims 1-8.
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