CN111861062B - User index management method, device, server and computer readable storage medium - Google Patents
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Abstract
The embodiment of the application provides a user index management method, a device, a server and a computer readable storage medium, which relate to the field of user data management, and firstly, the number of times of using each user index used when people are created in a preset time period is obtained; then, comparing the use times of each user index with a first preset time; and finally, according to the comparison result of the use times of each user index and the first preset times, the current state of each user index is adjusted. The use times of the user indexes are compared with the first preset times, whether the user indexes are not used or are frequently used can be judged, and the states of the user indexes are automatically updated according to the use conditions of the user indexes, so that the states of the user indexes are not required to be maintained manually, the automatic management of the states of the user indexes 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 age background of informatization and internetworking, management and utilization of user data itself is the most important thing for business companies. To enhance the utility of user data, a tagging system is typically built, and conventional tagging systems typically include 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 process of user data management, and currently, a great deal of time is required to control the online state and the offline state of the user index in the process of index management in a manual maintenance mode, which results in low efficiency of user index management.
Disclosure of Invention
In order to overcome at least the above-mentioned drawbacks of the prior art, one of the objectives of the present application is to provide a user index management method, apparatus, server and computer readable storage medium, so as to solve the technical problem of more time consumption in the process of maintaining the state of the user index.
According to an aspect of embodiments of the present application, an electronic device is provided 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 in operation, the processor and the storage medium communicate via the bus, and the processor executes the machine-readable instructions to perform the user index management method described below.
According to another aspect of the embodiment 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 people are created in a preset time period; comparing the use times of the user indexes with a first preset time; if the number of times of using 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; if the number of times of using the user index is not greater than the first preset number of times, detecting whether the current state of the user index is an on-line state, and updating the current state of the user index to be an off-line state when the current state is the on-line state.
In some embodiments of the 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 using effect data of the user index is larger than the first preset using effect data, detecting whether the current state of the user index is a offline state, and updating the current state of the user index into an online state when the current state is the offline state; if the usage effect data of the user index is not greater than the first preset usage effect data, detecting whether the current state of the user index is an on-line state, and updating the current state of the user index to an off-line state when the current state is the on-line state.
In some embodiments of the application, the method further comprises: comparing the use times of the user indexes with a second preset time, and comparing the use effect data of the user indexes with second preset use effect data; if the number of times of using the user index is greater than the second preset number of times and the using effect data of the user index is greater than the second preset using effect data, detecting whether the current state of the user index is a offline state, and updating the current state of the user index to be an online state when the current state is the offline state; if the number of times of use of the user index is not more than the second preset number of times and/or the use effect data of the user index is not more than the second preset use effect data, detecting whether the current state of the user index is an on-line state, and updating the current state of the user index to be an off-line state when the current state is the on-line state.
In some embodiments of the present application, the step of obtaining the usage effect data of each user indicator in the preset time period includes: acquiring activity participation data of each group participating in different operation activities within the preset time period; and determining the use effect data of the user index corresponding to each group of people according to the activity participation data.
In some embodiments of the application, the operational activity includes issuing coupons, issuing pushes, or resource bits; the step of acquiring the activity participation data of each group participating in different operation activities within the preset time period includes: when the operation activity is the issuing of the coupon, calculating the activity participation data of the crowd participating in the operation activity according to the verification rate and/or the repurchase rate of the coupon; when the operation activity is transmission pushing, calculating activity participation data of a crowd participating in the operation activity according to the contact rate and/or the opening rate of the pushing; and when the operation activity is a resource bit, 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 bit.
In some embodiments of the application, the method further comprises: and updating the user index group comprising a plurality of user indexes according to the using effect data of the user indexes of different groups in different operation activities.
In some embodiments of the present application, the step of updating the user index group including the plurality of user indexes according to the usage effect data of the user indexes of different people in different operation activities includes: logically splitting the existing index group to obtain a plurality of independent user indexes; and logically combining the at least one separated user index obtained by splitting with at least one separated user index of which the using effect data is larger than the first preset using effect data or the second preset using effect data in the preset time period to obtain a new user index group.
In some embodiments of the application, the method further comprises: training an operation activity effect estimation model through the characteristics of user indexes corresponding to the crowd, the characteristics of operation activities participated by the crowd and the activity participation data of the operation activities participated by the crowd, 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 service field of the index, and the characteristics of the operation activity comprise the duration of the activity, the preferential strength, the marketing mode or the budget data; and inputting the characteristics of the operation activities to be searched into a trained operation activity effect estimation model, and searching to obtain the user indexes of the activity participation data of the operation activities to be searched.
According to another aspect of the embodiment 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 the user indexes with first preset times; the detection and update module is used for detecting whether the current state of the user index is the offline state or not if the use times of the user index are larger than the first preset times, and updating the current state of the user index into the 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 indicator is an online state if the number of times of use of the user indicator is not greater than the first preset number of times, and update the current state of the user indicator to a 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 indicator in the preset time period; the comparison module is further 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 indicator is an offline state if the usage effect data of the user indicator is greater than the first preset usage effect data, and update the current state of the user indicator to be an online state when the current state is the offline state; and the detection and update module is further used for detecting whether the current state of the user index is an on-line state or not if the use effect data of the user index is not more than the first preset use effect data, and updating the current state of the user index to be an off-line state when the current state is the on-line state.
In some embodiments of the present application, the comparison module is further configured to compare the number of times of use of each user indicator with a second preset number of times, and compare the usage effect data of each user indicator with the second preset usage effect data; the detection and update module is further 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 a second preset number of times and the usage effect data of the user indicator is greater than a second preset usage effect data, and update the current state of the user indicator to an online state when the current state is the offline state; if the number of times of use of the user index is not more than the second preset number of times and/or the use effect data of the user index is not more than the second preset use effect data, detecting whether the current state of the user index is an on-line state, and updating the current state of the user index to be an off-line state when the current state is the on-line state.
In some embodiments of the application, the acquisition module comprises: the acquisition sub-module is used for acquiring activity participation data of each group participating in different operation activities within the preset time period; and the determining submodule is used for determining the use effect data of the user index corresponding to each group of people according to the activity participation data.
In some embodiments of the application, the operational activity includes issuing coupons, issuing pushes, or resource bits; the obtaining submodule is specifically configured to: when the operation activity is the issuing of the coupon, calculating the activity participation data of the crowd participating in the operation activity according to the verification rate and/or the repurchase rate of the coupon; when the operation activity is transmission pushing, calculating activity participation data of a crowd participating in the operation activity according to the contact rate and/or the opening rate of the pushing; and when the operation activity is a resource bit, 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 bit.
In some embodiments of the application, the apparatus further comprises: and the updating module is used for updating the user index group comprising a plurality of user indexes according to the use effect data of the user indexes of different groups in different operation activities.
In some embodiments of the present application, the update module is specifically configured to: logically splitting the existing index group to obtain a plurality of independent user indexes; and logically combining the at least one separated user index obtained by splitting with at least one separated user index of which the using effect data is larger than the first preset using effect data or the second preset using effect data in the preset time period to obtain a new user index group.
In some embodiments of the application, the apparatus further comprises: the model training module is used for training an operation activity effect prediction model through the characteristics of the user indexes corresponding to the crowd, the characteristics of the operation activities participated by the crowd and the activity participation data of the operation activities participated by the crowd, and establishing the 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 service field of the index, and the characteristics of the operation activity comprise the duration of the activity, the preferential strength, the marketing mode or the budget data; and the index retrieval module is used for inputting the characteristics of the operation activities 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 to be retrieved.
According to another aspect of the embodiments of the present application, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the user index management method described above.
Based on any one of the above aspects, in the embodiment of the present application, first, the number of uses of each user index used when creating a crowd in a preset time period is obtained; then, comparing the use times of each user index with a first preset time; and finally, according to the comparison result of the use times of each user index and the first preset times, the current state of each user index is adjusted. The use times of the user indexes are compared with the first preset times, whether the user indexes are not used or are frequently used can be judged, and the states of the user indexes are automatically updated according to the use conditions of the user indexes, so that the states of the user indexes can be maintained without a manual mode, the automatic management of the states of the user indexes is realized, and the time consumption in the user index management process is reduced.
The foregoing objects, features and advantages of embodiments of the application will be more readily apparent from the following detailed description of the embodiments taken in conjunction with the accompanying drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 shows a schematic view of an application scenario provided by 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, 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 application;
FIG. 4 is a second flowchart illustrating a user index management method according to an embodiment of the present application;
fig. 5 shows a schematic flow chart of the substeps 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 is a block diagram showing one of functional blocks of the user index management apparatus according to the embodiment of the present application;
FIG. 8 is a block diagram showing a second functional module of the user index management apparatus according to the embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for the purpose of illustration and description only and are not intended to limit the scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. A flowchart, as used in this disclosure, illustrates operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. Moreover, one or more other operations may be added to or removed from the flow diagrams by those skilled in the art under the direction of the present disclosure.
In addition, the described embodiments are only some, but not all, embodiments of the application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to fall within the scope of the application.
It should be noted that the term "comprising" will be used in embodiments of the application to indicate the presence of the features stated hereafter, but not to exclude the addition of other features.
In order to solve the technical problems in the background art, embodiments of the present application provide a user index management method, a device, a server, and a computer readable storage medium. Firstly, obtaining the use times of each user index used when people are created in a preset time period; then, comparing the use times of each user index with a first preset time; and finally, according to the comparison result of the use times of each user index and the first preset times, the current state of each user index is adjusted. The use times of the user indexes are compared with the first preset times, whether the user indexes are not used or are frequently used can be judged, and the states of the user indexes are automatically updated according to the use conditions of the user indexes, so that the user index states do not need to be maintained manually, automatic management of the user index states is achieved, and time consumption in a 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. The application scenario includes a server 100, a user terminal 200, and a network 300, wherein the server 100 is communicatively connected to the user terminal 200 via the network 300.
In an embodiment of the present application, the user terminal 200 may run any software (such as a drop trip, a moor train, a treasury wash, etc.) that provides internet services (such as a taxi taking service, a sharing train service, an 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. The 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, or an augmented reality device, or the like, or any combination thereof. In some embodiments of the present application, the smart home device may include a smart lighting device, a control device for a smart appliance device, a smart monitoring device, a smart television, a smart video camera, or an intercom, or the like, or any combination thereof. In some embodiments, the wearable device may include a smart bracelet, a smart lace, a smart glass, a smart helmet, a smart watch, a smart garment, a smart backpack, a smart accessory, etc., or any combination thereof. In some embodiments, the smart mobile device may include a smart phone, a personal digital assistant (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, a virtual reality glass, a virtual reality patch, an augmented reality helmet, an augmented reality glass, an augmented reality patch, or the like, or any combination thereof. For example, the virtual reality device and/or the 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 server farm may be centralized or distributed (e.g., server 100 may be a distributed system). The server 100 obtains user operation information of a user on the user terminal 200 through communication with the user terminal 200, and the server 100 stores the obtained user operation information, in this embodiment of the present application, the server 100 includes a database, which is used to store user registration information and user data such as user operation information, where the user registration information includes user indexes (for example, user age, user gender, and user location) of a corresponding crowd when creating a crowd to which the user belongs. 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, server 100 may be implemented on a cloud platform; by way of example only, the Cloud platform may include a private Cloud, public Cloud, hybrid Cloud, community Cloud (Community Cloud), distributed Cloud, cross-Cloud (Inter-Cloud), multi-Cloud (Multi-Cloud), or the like, or any combination thereof.
Network 300 may be used for the exchange of information and/or data. In some embodiments, one or more components in the application scenario (e.g., user terminal 200 and server 100) may send information and/or data to other components. For example, the user terminal 200 may acquire an internet service from the server 100 via the network 300. In some embodiments of the application, the network 300 may be any type of wired or wireless network, or a combination thereof. By way of example only, the network 300 may include a wired network, a wireless network, a fiber optic network, a telecommunications network, an intranet, the internet, a local area network (Local Area Network, LAN), a wide area network (Wide Area Network, WAN), a wireless local area network (Wireless Local Area Networks, WLAN), a metropolitan area network (Metropolitan Area Network, MAN), a wide area network (Wide Area Network, WAN), a public switched telephone network (Public Switched Telephone Network, PSTN), a bluetooth network, a ZigBee network, a near field communication (Near Field Communication, NFC) network, or the like, or any combination thereof. In some embodiments of the application, network 300 may include one or more network access points. For example, network 300 may include wired or wireless network access points, such as base stations and/or network switching nodes, through which one or more components of the application scenario of fig. 1 may connect to network 300 to exchange data and/or information.
In some embodiments of the present application, the server 100, user terminal 200 may be implemented on an electronic device 10 having one or more of the components shown in FIG. 2 of the present application.
Fig. 2 shows a schematic diagram of exemplary hardware and software components of an electronic device 10 in which the inventive concepts may be implemented according to some embodiments of the application.
The electronic device 10 may be a general purpose computer or a special purpose computer, and although only one computer is shown, the user index management method described herein may be implemented in a distributed manner on a plurality of similar platforms for convenience to improve the management efficiency of user indexes.
In an embodiment of the application, 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 different form, such as a disk, ROM, or RAM, or any combination thereof. By way of example, 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. The user index management method provided by the application can be realized according to the program instructions. The electronic device 10 may also include an Input/Output (I/O) interface 15 between a 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. It should be noted, however, that the electronic device 10 of the present application may also include multiple processors 12, and thus steps performed by one processor described in the present application may also be performed jointly by multiple processors 12 or separately. 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, the first processor performs step a, the second processor performs step B, or the first processor and the second processor together perform steps a and B.
Fig. 3 illustrates a flow diagram of a user metrics management method of some embodiments of the application, which may be performed by the server 100 illustrated in fig. 1. It should be understood that, in other embodiments, the order of some steps in the user index management method described in the embodiments 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.
Step S301, obtaining the number of uses of each user index used when creating the crowd in the 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 different internet services provided by the server 100, the classification of the crowd is different, taking the internet services provided by the server 100 as driving service as an example, the crowd can be divided into drivers and passengers, further divided into a windward driver, a express driver, a sharing driver or a special driver, and the passengers can be divided into silver passengers, gold passengers or platinum passengers; taking the internet service provided by the server 100 as an online shopping service as an example, the crowd can be divided into merchants and buyers, and further divided into merchants and buyers, and the merchants and the buyers can also be divided into different grades.
When a user registers through the user terminal 200, the server 100 displays a registration information interface through a display interface of the user terminal 200, in which the user is required to fill in information corresponding to user indexes, or taking a driving service as an example, when the registered user is a driver, the user indexes required to be filled in by the user 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 index that the user needs to fill in may include: the passenger ID, the passenger's real name, the passenger's contact phone, the passenger's valid identification number, etc. In the above-mentioned registration process, the user index in the registration information interface may include a necessary-filling user index and an optional-filling user index, for example, when the registered user is a driver, the necessary-filling user index may include an ID of the driver, a registered city, a real name of the driver, a contact phone of the driver, a driving qualification, and an effective identity number of the driver; optional filler user indicators may include driver age and driver gender. It will be understood that, in the above registration process, the user indexes in the registration information interface may be optional filling user indexes, and at least a preset number (for example, 4) of the user indexes shown in the registration information interface are selected to fill corresponding information, so that the requirement of filling registration information can be satisfied.
After the user fills in the user registration information through the user terminal 200, the user terminal 200 transmits the filled-in 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 the user registration information of the registered creation group (for example, the passenger and the driver) within a preset period of time. Specifically, in a user registration information, if a certain user index is filled with corresponding index information, the number of times of using the user index is increased by 1; if a certain user index does not fill in the corresponding index information, the using times of the user index is added with 0.
Step S302, judging whether the use times of the user indexes are larger than a first preset times.
In order to detect the frequency of use of each user indicator, a first preset number of times is configured in the server 100, and the server 100 determines the frequency of use of the user indicator by comparing the number of times of use of each user indicator with the first preset number of times. If the number of times of using the user index is larger than the first preset number of times, the user index is higher in use frequency when people are created; if the number of times of using the user index is not greater than the first preset number of times, the user index is indicated to have lower using frequency when the crowd is created. When the number of times of use of the user index is greater than the first preset number of times, step S303 is entered; when the number of uses of the user index is not greater than the first preset number, step S304 is entered.
Step S303, detecting whether the current state of the user index is the offline state.
In the embodiment of the present application, the server 100 is configured with a user index and maintains the user index, and 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 the embodiment of the present application, the server 100 may maintain the state of the user index through a state information table. The display modes of the user indexes of 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 on-line state, the user index is displayed on the registration information interface, and the user only needs to perform information input operation at the 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 named as other user indexes in the registration information interface, when the user does not find the user indexes meeting the requirements of the user, the user can obtain the other user indexes in the offline state by clicking the control, and after the user index in a certain offline state is selected, the user can input corresponding index information. It should be understood, of course, that the foregoing is merely illustrative of one possible implementation of the user index on the registration information interface when the user index is in a different state, and should not be construed as limiting the description of the present application, as long as the user index in an online state on the registration information interface may directly input index information, and the user index in a offline state on the registration information interface may not directly input index information. For another example, in other implementations of the present embodiment, the user indicators in the online state and the offline state may be displayed on the registration information interface at the same time, where the user indicators in the online state may directly perform the input of the indicator information, and the user indicators that are not online need the user to activate the corresponding user indicators first and then perform the input of the indicator information, where the activation may be by double clicking the location where the user indicators are located. By the arrangement, the user can intuitively feel that the user indexes are online indexes and the user indexes are offline indexes, and the operation that the user selects different user indexes on the registration information interface is recorded to provide basis for updating the subsequent user index states.
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 crowd registration, the server 100 determines whether to adjust the state of the user index according to the user registration information fed back by the user terminal 200 in a preset period of time.
In the embodiment of the present application, if the current state of the user index is detected to be the on-line state, step S305 is entered to maintain the current state of the user index; if it is detected that the current state of the user index is the down state, the process proceeds to step S306.
Step S306, the current state of the user index is updated to be an on-line state.
After the current state of the user index is updated to be an online state, in the subsequent user registration process, the user can directly input index information corresponding to the user index.
Step S304, detecting whether the current state of the user index is an on-line 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 entered; if it is detected that the current state of the user index is the down state, the process advances to step S305 to maintain the current state of the user index.
Step S307, the current state of the user index is updated to the offline state.
After the current state of the user index is updated to be the down state, the user cannot directly input index information corresponding to the user index in the subsequent user registration process.
In the scheme, the use times of the user indexes are compared with the first preset times, whether the user indexes are not used or are frequently used can be judged, and the states of the user indexes are automatically updated according to the use conditions of the user indexes, so that the user index states do not need to be manually maintained, automatic management of the user index states is realized, and time consumption in the user index management process is reduced.
The embodiment of the application can update the current state of each user index through the use effect data of each user index, referring to fig. 4, the user index management method provided in the embodiment of the application can further comprise 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:
Step S401a, acquiring activity participation data of each group participating in different operation activities within a preset time period;
the operation activities refer to online activities provided by software for providing internet services, and the operation activities can include issuing coupons, sending pushing or resource positions, and the resource positions can be advertisement positions used for displaying advertisement information on a visual interface.
Specifically, when the operation activities are different, the sub-step S401a determines activity participation data of each group participating in different operation activities according to different evaluation criteria.
When the operation activity is the issuing of the coupon, calculating the activity participation data of the crowd participating in the operation activity according to the verification rate and/or the repurchase rate of the coupon; wherein the verification rate refers to the rate at which the coupon is verified for redemption or use, and the repurchase rate is the rate at which multiple consumption occurs through the coupon.
When the operation activity is transmission pushing, calculating activity participation data of a crowd participating in the operation activity according to the contact rate and/or the opening rate of the pushing; the reach rate refers to the ratio of the server 100 to successfully send the push to the user terminal 200, and the open rate refers to the ratio of the user to open push information.
When the operation activity is a resource bit, calculating activity participation data of a crowd participating in the operation activity according to the click rate and/or conversion rate of the resource bit; wherein the click rate is the duty ratio of pointing to hit open the resource bit (such as advertisement information), and the conversion rate is the duty ratio of performing a secondary transaction after clicking the resource bit.
In the embodiment of the application, the larger the activity participation data is, the higher the enthusiasm of the crowd to participate in the operation activity is, and the better the crowd to participate in the operation activity is; otherwise, the lower the enthusiasm of the crowd to participate in the operation activity is, the poorer the effect of the crowd to participate in the operation activity is.
Sub-step S401b, determining usage effect data of the user index corresponding to each group of people according to the activity participation data.
Specifically, when calculating the use effect data of the user index, counting the use times of each user index of the crowd user participating in the operation activity according to the activity participation data of the crowd user participating in the operation activity and the registration information of the crowd user participating in the operation activity, and obtaining the use effect data of the corresponding user index according to the use times of each user index of the crowd user participating in the operation activity. For example, taking the example that the passengers (crowd) participate in the coupon (operation activity), the number of times of each user index of the passengers participating in the coupon activity is counted, and if the age of the passengers is the user index with the largest number of times, the user index of the age of the passengers has better use effect on the operation activity of the coupon. In this embodiment, the usage effect data of the user indicators may be obtained by dividing the number of times of each user indicator in the crowd participating in the operation activity by the number of users of the crowd participating in the operation activity, where a larger usage effect data indicates a better usage effect, and vice versa indicates a worse usage effect.
Step S402, judging whether the use effect data of each user index is larger than the first preset use effect data.
In order to detect the use effect of each user index, first preset use effect data is configured in the server 100. If the using effect data of the user index is larger than the first preset using effect data, the user index is indicated to have a better using effect in the operation activity; if the usage effect data of the user index is not greater than the first preset usage effect data, the usage effect of the user index is poorer in the operation activity. When the usage effect data of the user index is greater than the first preset usage effect data, step S403 is entered; when the usage effect data of the user index is not greater than the first preset usage effect data, step S404 is entered.
Step S403, detecting whether the current state of the user index is the offline state.
In the embodiment of the present application, if the current state of the user index is detected to be an on-line state, step S405 is entered to maintain the current state of the user index; if it is detected that the current state of the user index is the down state, the process proceeds to step S406.
Step S406, the current state of the user index is updated to be an on-line state.
Step S404, detecting whether the current state of the user index is an on-line state.
In the embodiment of the present application, if it is detected that the current state of the user index is an on-line state, step S407 is entered; if it is detected that the current state of the user index is the down state, the process proceeds to step S405 to maintain the current state of the user index.
Step S407, updating the current state of the user index to the off-line state.
The embodiment of the application can also update the current state of each user index by combining the using effect data of each user index and the using times of each user index, and further, the user index management method provided by the embodiment of the application can also comprise the following steps:
first, the number of times of use of each user index is compared with a second preset number of times, and the use effect data of each user index is compared with second preset use effect data.
And then, if the number of times of using the user index is greater than the second preset number of times and the using effect data of the user index is greater than the second preset using effect data, detecting whether the current state of the user index is a offline state, and updating the current state of the user index into an online state when the current state is the offline state.
And when the current state of the user index is detected to be an on-line state, updating the current state of the user index to be an off-line state.
As the number of created user indexes increases, in order to reduce the complexity of managing the user indexes, different user indexes may be combined together through a logical relationship to form a user index group, however, as the service progresses, 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 the user index group comprising a plurality of user indexes according to the using effect data of the user indexes of different groups in different operation activities.
In particular, a specific implementation of updating a user index group including a plurality of user indexes may be as follows:
firstly, logically splitting the existing index group to obtain a plurality of independent user indexes;
and then, logically combining at least one single user index obtained by splitting with at least one single user index of which the using effect data is larger than the first preset using effect data or the second preset using effect data in the preset time period to obtain a new user index group.
Specifically, a specific example will be described below, assuming that the existing user index group is "the ID of the passenger and/or the phone number of the passenger", the usage effect data of the index group is found to be bad through the data fed back to a certain operation activity (for example, push activity), and the usage effect data of the user index "the sex of the passenger" is good for the operation activity. In order to obtain the data of the use effect which can show the better operation activity, the user index group is updated again, firstly, the 'ID and/or phone number of the passenger' can be split to obtain the independent user index 'ID of the passenger' and the 'phone number of the passenger', and the split user index and the 'sex of the passenger' are combined to obtain the updated user index group, such as the 'ID and/or sex of the passenger'.
By the method, the user index group can be automatically updated, the user index is combined after the existing user index group is manually split, time consumption in the user index management process can be saved, and the user index management efficiency is improved.
Further, referring to fig. 6, the method for managing user indexes provided in the embodiment of the present application may further include the following steps:
Step S601, training an operation activity effect estimation model through the characteristics of user indexes corresponding to the crowd, the characteristics of operation activities participated by the crowd and the activity participation data of the operation activities participated by the crowd, and establishing the 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 service 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 the budget data.
In the embodiment of the application, an operation activity effect estimation model can be established by adopting a CTR estimation model commonly used in an advertisement system, and is trained by the characteristics of user indexes corresponding to the crowd, the characteristics of operation activities participated by the crowd and the activity participation data participated by the crowd, and the association relationship between the characteristics and the activity participation data participated by the crowd.
Step S602, inputting the characteristics of the operation activities to be searched into a trained operation activity effect estimation model, and searching to obtain the user indexes of the activity participation data of the operation activities to be searched.
When the user inputs the characteristics (such as the duration, preferential strength, marketing mode or budget data) of the operation activities to be searched, the user index meeting the activity participation data of the operation activities to be searched can be searched through the trained operation activity effect estimation model. And the user indexes meeting the conditions can be recommended in sequence according to the use effect data of each user index. According to the process, the model is trained by adopting the historical data, and the user indexes meeting the conditions can be quickly searched according to the trained model during searching, so that the condition that the user indexes meeting the conditions are slower in searching under the condition of more user indexes in the prior art can be overcome, and the searching speed of the user indexes is improved.
The user index management method provided in the above embodiment first obtains the number of times of use of each user index used when creating a crowd in a preset time period; then, comparing the use times of each user index with a first preset time; and finally, according to the comparison result of the use times of each user index and the first preset times, the current state of each user index is adjusted. The use times of the user indexes are compared with the first preset times, whether the user indexes are not used or are frequently used can be judged, and the states of the user indexes are automatically updated according to the use conditions of the user indexes, so that the user index states do not need to be maintained manually, automatic management of the user index states is achieved, and time consumption in a user index management process is reduced.
Fig. 7 illustrates a functional block diagram of a user metric management device 110 according to some embodiments of the present application, where the functions performed by the user metric management device 110 correspond to the steps performed by the method described above. The device may be understood as the server 100, or a processor of the server 100, or may be understood as a component, which is independent from the server 100 or the processor and is controlled by the server 100 to implement the functions of the present application, as shown in fig. 7, the user index management device 110 may include an acquisition module 1101, a comparison module 1102, and a detection and update module 1103.
The obtaining module 1101 may be configured to obtain a number of uses of each user index used when creating a crowd in a preset time period.
It is understood that the obtaining module 1101 may be configured to perform the step S301, and reference may be made to the details of the obtaining module 1101 related to the step S301.
The comparison module 1102 may be configured to compare the number of uses of each user indicator with a first preset number.
It is understood that the comparison module 1102 may be configured to perform the step S302 described above, and reference may be made to the details of the implementation of the acquisition module 1101 regarding the step S302 described above.
The detection and update module 1103 may be configured to detect whether the current state of the user indicator is a 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 the method is also used for detecting whether the current state of the user index is an online state or not if the use times of the user index are not more than the first preset times, and updating the current state of the user index into a offline state when the current state is the online state.
It is understood that the detection and update module 1103 may perform steps S303-S307 described above, and reference may be made to the details of the implementation of the detection and update module 1103 regarding steps S303-S307 described above.
Further, in other embodiments of the present application, the obtaining module 1101 may be further configured to obtain usage effect data of each user indicator within 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 different internet services provided by the server 100, the classification of the crowd is different, taking the internet services provided by the server 100 as driving service as an example, the crowd can be divided into drivers and passengers, further divided into a windward driver, a express driver, a sharing driver or a special driver, and the passengers can be divided into silver passengers, gold passengers or platinum passengers; taking the internet service provided by the server 100 as an online shopping service as an example, the crowd can be divided into merchants and buyers, and further divided into merchants and buyers, 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-in 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 the user registration information of the registered creation group (for example, the passenger and the driver) within a preset period of time. Specifically, in a user registration information, if a certain user index is filled with corresponding index information, the number of times of using the user index is increased by 1; if a certain user index does not fill in the corresponding index information, the using times of the user index is added with 0.
It is understood that the obtaining module 1101 may also be used to perform the step S401 described above, and reference may be made to the details of the implementation of the obtaining module 1101 regarding the step S401 described above.
The comparison module 1102 is further configured to compare the usage effect data of each user indicator with first preset usage effect data.
It is understood that the comparison module 1102 may be used to perform the step S402 described above, and reference may be made to the details of the implementation of the comparison module 1102 with respect to the step S402 described above.
The detecting and updating module 1103 is further configured to detect whether the current state of the user indicator is a offline state if the usage effect data of the user indicator is greater than the first preset usage effect data, and update the current state of the user indicator to an online state when the current state is the offline state; and the method is used for detecting whether the current state of the user index is an on-line state or not if the using effect data of the user index is not more than the first preset using effect data, and updating the current state of the user index to be an off-line state when the current state is the on-line state.
It is understood that the detection and update module 1103 may perform steps S403-S407 described above, and reference may be made to the details of the implementation of the detection and update module 1103 regarding steps S403-S407 described above.
Further, in other embodiments of the present application, the comparing module 1102 may be further configured to compare the usage frequency of each user indicator with a second preset frequency, and compare the usage effect data of each user indicator with the second preset usage effect data;
the detecting and updating module 1103 is further 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 a second preset number of times and the usage effect data of the user indicator is greater than a second preset usage effect data, and update the current state of the user indicator to an online state when the current state is the offline state; if the number of times of use of the user index is not more than the second preset number of times and/or the use effect data of the user index is not more than the second preset use effect data, detecting whether the current state of the user index is an on-line state, and updating the current state of the user index to be an off-line state when the current state is the on-line state.
Referring to fig. 8, in an embodiment of the present application, the obtaining module 1101 may include a obtaining sub-module 1101a and a determining sub-module 1101b.
An acquisition submodule 1101a, configured to acquire activity participation data of each group of people participating in different operation activities within the preset time period;
the determining submodule 1101b is configured to determine usage effect data of a user index corresponding to each group of people according to the activity participation data.
In the embodiment of the application, the operation activities comprise issuing coupons, issuing pushes or resource bits; the obtaining sub-module 1101a is specifically configured to:
when the operation activity is the issuing of the coupon, calculating the activity participation data of the crowd participating in the operation activity according to the verification rate and/or the repurchase rate of the coupon;
when the operation activity is transmission pushing, calculating activity participation data of a crowd participating in the operation activity according to the contact rate and/or the opening rate of the pushing;
and when the operation activity is a resource bit, 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 bit.
Referring again to fig. 8, in an embodiment of the present application, the user index management apparatus 110 may include an update module 1104.
An updating module 1104 is configured to update a user index group including a plurality of user indexes according to the usage effect data of the user indexes of different people in different operation activities.
The update module 1104 is specifically configured to:
logically splitting the existing index group to obtain a plurality of independent user indexes;
and logically combining the at least one separated user index obtained by splitting with at least one separated user index of which the using effect data is larger than the first preset using effect data or the second preset using effect data in the preset time period to obtain a new user index group.
Referring again to fig. 8, in an embodiment of the present application, the user index management apparatus 110 may include a model training module 1105 and an index retrieval module 1106.
The model training module 1105 is configured to train an operation activity effect estimation model according to characteristics of user indexes corresponding to the crowd, characteristics of operation activities participated by the crowd, and activity participation data of the operation activities participated by the crowd, and establish a corresponding relationship 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 service field of the index, and the characteristics of the operation activity comprise the duration of the activity, the preferential strength, the marketing mode or the budget data;
The index retrieval module 1106 may be configured to input the characteristics of the operation activity to be retrieved into the trained operation activity effect prediction model, and retrieve the user index of the activity participation data that satisfies the operation activity to be retrieved.
The embodiment of the application also provides a readable storage medium, which stores computer executable instructions, and the computer executable instructions can execute the user index management method in any of the above method embodiments.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system and apparatus may refer to corresponding procedures in the method embodiments, and are not repeated in the present disclosure. In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, and the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, and for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, indirect coupling or communication connection of devices or modules, electrical, mechanical, or other form.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The 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 this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily appreciate variations or alternatives within the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (11)
1. A user index management method, applied to a server, the method comprising:
acquiring the use times of each user index used when people are created in a preset time period;
comparing the use times of the user indexes with a first preset time;
if the number of times of using 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;
if the number of times of using the user index is not greater than the first preset number of times, detecting whether the current state of the user index is an on-line state, and updating the current state of the user index to be an off-line state when the current state is the on-line 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 using effect data of the user index is larger than the first preset using effect data, detecting whether the current state of the user index is a offline state, and updating the current state of the user index into an online state when the current state is the offline state;
if the usage effect data of the user index is not greater than the first preset usage effect data, detecting whether the current state of the user index is an on-line state, and updating the current state of the user index to be an off-line state when the current state is the on-line state.
3. The method of claim 2, wherein the method further comprises:
comparing the use times of the user indexes with a second preset time, and comparing the use effect data of the user indexes with second preset use effect data;
if the number of times of using the user index is greater than the second preset number of times and the using effect data of the user index is greater than the second preset using effect data, detecting whether the current state of the user index is a offline state, and updating the current state of the user index to be an online state when the current state is the offline state;
If the number of times of use of the user index is not greater than the second preset number of times and/or the use effect data of the user index is not greater than the second preset use effect data, detecting whether the current state of the user index is an on-line state, and updating the current state of the user index to be an off-line state when the current state is the on-line state.
4. The method of claim 2, wherein the step of obtaining the usage effect data for each user indicator within the preset time period comprises:
acquiring activity participation data of each group participating in different operation activities within the preset time period;
and determining the use effect data of the user index corresponding to each group of people according to the activity participation data.
5. The method of claim 4, wherein the operational activity comprises issuing coupons, pushing, or resource bits; the step of acquiring the activity participation data of each group participating in different operation activities within the preset time period includes:
when the operation activity is the issuing of the coupon, calculating the activity participation data of the crowd participating in the operation activity according to the verification rate and/or the repurchase rate of the coupon;
When the operation activity is transmission pushing, calculating activity participation data of a crowd participating in the operation activity according to the contact rate and/or the opening rate of the pushing;
and when the operation activity is a resource bit, 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 bit.
6. The method of claim 2, wherein the method further comprises: and updating the user index group comprising a plurality of user indexes according to the using effect data of the user indexes of different groups in different operation activities.
7. The method of claim 6, wherein updating the set of user indicators comprising the plurality of user indicators based on the usage effect data of the user indicators of different people in different operation activities comprises:
logically splitting the existing index group to obtain a plurality of independent user indexes;
and logically combining the at least one separated user index obtained by splitting with at least one separated user index of which the using effect data is larger than the first preset using effect data or the second preset using effect data in the preset time period to obtain a new user index group.
8. The method of any one of claims 1-7, wherein the method further comprises:
training an operation activity effect estimation model through the characteristics of user indexes corresponding to the crowd, the characteristics of operation activities participated by the crowd and the activity participation data of the operation activities participated by the crowd, 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 service field of the index, and the characteristics of the operation activity comprise the duration of the activity, the preferential strength, the marketing mode or the budget data;
and inputting the characteristics of the operation activities to be searched into a trained operation activity effect estimation model, and searching to obtain the user indexes of the activity participation data of the operation activities to be searched.
9. A user index management apparatus, for use with a server, the apparatus comprising:
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 the user indexes with first preset times;
The detection and update module is used for detecting whether the current state of the user index is the offline state or not if the use times of the user index are greater than the first preset times, and updating the current state of the user index into the 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 indicator is an online state if the number of times of use of the user indicator is not greater than the first preset number of times, and update the current state of the user indicator to a 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 run by a server, the processor executing the machine-readable instructions to perform the steps of the user index management method of any one of claims 1-8.
11. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the user index management method according to any of claims 1-8.
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