CN112348552A - Computer-aided resource delivery management method and platform based on early warning service - Google Patents
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Abstract
The invention discloses a computer-aided resource delivery management method and a platform based on early warning service, wherein the method comprises the following steps: selecting an early warning rule according to the early warning service type; acquiring early warning data meeting the early warning rule; and when the early warning data meets a preset condition, triggering an early warning mechanism. The invention sets up the early warning rule for preventing a user from pulling wool through each channel by setting up a computer-aided resource putting management platform based on the early warning service, and selects the early warning rule according to the type of the early warning service; screening out early warning data through early warning rules; when the early warning data meets the preset conditions, an early warning mechanism is triggered, and an operator is reminded of processing in time, so that the phenomenon of pulling wool on the platform is prevented, and the conversion rate of platform activities is improved.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a computer-assisted resource delivery management method based on early warning service, a platform, electronic equipment and a computer-readable medium.
Background
General weeding wool refers to the act of collecting preferential information of financial institutions such as banks and various merchants so as to obtain preferential benefits and return on money. With the rapid development of the internet industry, wool pulling behavior also appears in each resource release management platform. In order to maintain a platform of an operator, the operator usually organizes a large number of different types of promotion activities, namely customizes preferential activities for new and old users, so that on one hand, the new user becomes a user of the platform through a registered account number, so that the user can perform subsequent consumption and the product sales volume is enlarged; on the other hand, consumption of the product by old users is actuated.
However, at present, some new users register account numbers to obtain a large amount of activity rewards through platform activities, and then do not visit or log in the platform, and some old users can return goods or end product use in advance after obtaining the activity rewards. We call these behaviors as wool pulling behavior of the platform, and the existence of these behaviors seriously destroys the purpose of the platform to work, occupies a large amount of activity resources, and is not beneficial to the healthy development of the platform. Therefore, a method for warning the behavior of pulling wool is needed to prevent the behavior of pulling wool from different channels and improve the conversion rate of platform activities.
Disclosure of Invention
The invention aims to solve the technical problem that the resources of the platform are invaded by the behaviors of weeding wool in different channels.
In order to solve the above technical problem, a first aspect of the present invention provides a computer-assisted resource delivery management method based on an early warning service, where the method includes:
selecting an early warning rule according to the early warning service type;
acquiring early warning data meeting the early warning rule;
and when the early warning data meets a preset condition, triggering an early warning mechanism.
According to a preferred embodiment of the present invention, before the selecting the warning rule according to the warning service, the method further includes:
and configuring a plurality of early warning rules to generate an early warning rule set.
According to a preferred embodiment of the present invention, the configuring the pre-warning rule includes:
and configuring basic information, application objects and early warning data screening conditions of the early warning rules according to the early warning service type.
According to a preferred embodiment of the present invention, the trigger pre-warning mechanism includes:
selecting an early warning mode according to the early warning service type;
and sending an early warning prompt in the early warning mode.
According to a preferred embodiment of the invention, the method further comprises:
displaying an operation selection interface of each early warning rule by a user;
receiving a target early warning rule and a target operation selected by a user;
and modifying the target early warning rule according to the target operation.
According to a preferred embodiment of the present invention, the basic information of the early warning rule includes an early warning rule name and an early warning rule description, the application object of the early warning rule includes a route to which the early warning rule applies, and the early warning data screening condition of the early warning rule includes an early warning index and a screening condition of the early warning index.
In order to solve the above technical problem, a second aspect of the present invention provides a computer-aided resource delivery management platform based on an early warning service, where the platform includes:
the selection module is used for selecting the early warning rule according to the early warning service type;
the acquisition module is used for acquiring early warning data meeting the early warning rule;
and the triggering module is used for triggering the early warning mechanism when the early warning data meets the preset conditions.
According to a preferred embodiment of the invention, the platform further comprises:
and the configuration module is used for configuring a plurality of early warning rules and generating an early warning rule set.
According to a preferred embodiment of the present invention, the configuration module is specifically configured to configure basic information, an application object, and an early warning data screening condition of the early warning rule according to the early warning service type.
According to a preferred embodiment of the present invention, the triggering module comprises:
the sub-selection module is used for selecting an early warning mode according to the early warning service type;
and the sending module is used for sending the early warning prompt in the early warning mode.
According to a preferred embodiment of the invention, the platform further comprises:
the display module is used for displaying an operation selection interface of each early warning rule by a user;
the receiving module is used for receiving a target early warning rule and a target operation selected by a user;
and the modification module is used for modifying the target early warning rule according to the target operation.
According to a preferred embodiment of the present invention, the basic information of the early warning rule includes an early warning rule name and an early warning rule description, the application object of the early warning rule includes a route to which the early warning rule applies, and the early warning data screening condition of the early warning rule includes an early warning index and a screening condition of the early warning index.
To solve the above technical problem, a third aspect of the present invention provides an electronic device, comprising:
a processor; and
a memory storing computer executable instructions that, when executed, cause the processor to perform the method described above.
In order to solve the above technical problem, a fourth aspect of the present invention proposes a computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs that, when executed by a processor, implement the above method.
The invention sets up the early warning rule for preventing a user from pulling wool through each channel by setting up a computer-aided resource putting management platform based on the early warning service, and selects the early warning rule according to the type of the early warning service; screening out early warning data through early warning rules; when the early warning data meets the preset conditions, an early warning mechanism is triggered, and an operator is reminded of processing in time, so that the phenomenon of pulling wool on the platform is prevented, and the conversion rate of platform activities is improved.
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In order to make the technical problems solved by the present invention, the technical means adopted and the technical effects obtained more clear, the following will describe in detail the embodiments of the present invention with reference to the accompanying drawings. It should be noted, however, that the drawings described below are only illustrations of exemplary embodiments of the invention, from which other embodiments can be derived by those skilled in the art without inventive step.
FIG. 1 is a flow chart of a computer-aided resource delivery management method based on early warning service according to the present invention;
FIG. 2 is a schematic diagram illustrating the steps of selecting an early warning rule according to an early warning service type;
FIG. 3 is a schematic diagram of an early warning rule configuration page of the present invention;
FIG. 4 is a schematic diagram of an early warning rule operation selection interface according to the present invention;
FIG. 5 is a schematic structural framework diagram of a computer-aided resource delivery management platform based on early warning service according to the present invention;
FIG. 6 is a block diagram of an exemplary embodiment of an electronic device in accordance with the present invention;
FIG. 7 is a diagrammatic representation of one embodiment of a computer-readable medium of the present invention.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the invention may be embodied in many specific forms, and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art.
The structures, properties, effects or other characteristics described in a certain embodiment may be combined in any suitable manner in one or more other embodiments, while still complying with the technical idea of the invention.
In describing particular embodiments, specific details of structures, properties, effects, or other features are set forth in order to provide a thorough understanding of the embodiments by one skilled in the art. However, it is not excluded that a person skilled in the art may implement the invention in a specific case without the above-described structures, performances, effects or other features.
The flow chart in the drawings is only an exemplary flow demonstration, and does not represent that all the contents, operations and steps in the flow chart are necessarily included in the scheme of the invention, nor does it represent that the execution is necessarily performed in the order shown in the drawings. For example, some operations/steps in the flowcharts may be divided, some operations/steps may be combined or partially combined, and the like, and the execution order shown in the flowcharts may be changed according to actual situations without departing from the gist of the present invention.
The block diagrams in the figures generally represent functional entities and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The same reference numerals denote the same or similar elements, components, or parts throughout the drawings, and thus, a repetitive description thereof may be omitted hereinafter. It will be further understood that, although the terms first, second, third, etc. may be used herein to describe various elements, components, or sections, these elements, components, or sections should not be limited by these terms. That is, these phrases are used only to distinguish one from another. For example, a first device may also be referred to as a second device without departing from the spirit of the present invention. Furthermore, the term "and/or", "and/or" is intended to include all combinations of any one or more of the listed items.
In the present invention, the computer-assisted resources generally refer to resources that are transmitted, stored, or delivered via the internet and computer assistance. The resource may be any resource, including a data resource, a computing resource, a physical resource, and the like. These computer-assisted resources are typically operated, managed and delivered in practice on a network platform by agents. The invention aims to early warn the behavior of pulling wool and prevent the platform activity resources from being occupied.
Referring to fig. 1, fig. 1 is a flowchart of a computer-assisted resource delivery management method based on an early warning service according to the present invention, and as shown in fig. 1, the method includes:
s1, selecting an early warning rule according to the early warning service type;
in the invention, the early warning service type corresponds to the preferential activity of the platform. For example, for a discount activity of accepting new, the early warning service can be accepted correspondingly; the full-reduction preferential activity to the product can correspond to the full-reduction early warning service, the service early ending service to the service, namely, the user ends the service in advance within the service period specified by the contract, the early warning service can be correspondingly ended, and the like. Specifically, the early warning service and the early warning rules can be associated in advance, one early warning service can correspond to one or more early warning rules, one or more early warning rules associated with the early warning service type are displayed when the early warning service type input by a user is received, and then the target early warning rule is selected according to a user selection instruction. As shown in fig. 2, when the user inputs the target early warning service type in the early warning service types, the early warning rule a and the early warning rule B associated therewith are displayed in the early warning rule column, and after the user clicks the early warning rule B, the early warning rule B is selected as the target early warning rule.
Obviously, before this step, a plurality of early warning rules may be configured, and the early warning rules are associated with corresponding early warning service types to generate an early warning rule set. Wherein, the configuring the early warning rule specifically comprises: and configuring basic information, application objects and early warning data screening conditions of the early warning rules according to the early warning service type. The basic information of the early warning rule comprises an early warning rule name and an early warning rule description, the application object of the early warning rule comprises a routing contract applicable to the early warning rule, and the routing can be data routing, article transfer routing and the like. The route contracts are contracts made according to different routes. The early warning data screening conditions of the early warning rules comprise early warning indexes and screening conditions of the early warning indexes.
The early warning rule configuration page shown in fig. 3 includes configuration of basic information, application objects, and early warning data screening conditions of the early warning rule. The configuration of the basic information of the early warning rule is completed by receiving the name of the early warning rule and the description of the early warning rule input by a user on a configuration page, and the configuration of the application object of the early warning rule is completed by receiving the routing contract input by the user on the configuration page, wherein the routing contract input by the user can be all routing contracts or a specified routing contract. The configuration of the early warning rule early warning data screening conditions is completed by receiving the early warning indexes input by the user on the configuration page and the screening conditions corresponding to the early warning indexes. The corresponding early warning indexes are different for different early warning service types, for example for a nano new early warning service, the corresponding early warning indexes can be configured as the login times of a user in a preset time period, the screening condition of the early warning indexes can be set by operators and screening values, wherein the operators are greater than, greater than or equal to, unequal to, less than or equal to, and the like, and N is a natural number, and is less than or equal to N times. Wherein the preset time period is preferably the day. For early warning service termination, the corresponding warning index can be configured to be the number of users who terminate service within a preset time period, the screening condition of the warning index can be smaller than M, and M is a natural number. Furthermore, in order to improve the accuracy of the early warning, a plurality of early warning indexes may be provided, and a logical relationship of and or may be provided between the plurality of early warning indexes.
Furthermore, parameters of an early warning mode can be configured, and the early warning mode can be specifically an information delivery mode such as a mail, a short message and the like. The parameters of the early warning mode may include the execution frequency of the early warning, that is, how often the early warning prompt message is sent, and an execution account, where the execution account may be a mailbox address, a mobile phone number, and the like. For example, in the warning rule configuration page of fig. 3, the configuration of the warning mode parameters may be completed by receiving the execution frequency and the execution account of the message notification input by the user.
S2, acquiring early warning data meeting the early warning rule;
the early warning data meeting the early warning index screening condition within the preset time period of the platform can be obtained according to the early warning index set in the early warning data screening condition and the screening condition of the early warning index. For example, for the early warning data screening conditions: and if the early warning index 1 is smaller than N, the early warning index 2 is larger than M, and the early warning index 1 and the early warning index 2 are in an OR logical relationship, screening out early warning data of which the early warning index 1 is smaller than N or the early warning index 2 is larger than M in a preset time period.
And S3, triggering an early warning mechanism when the early warning data meets a preset condition.
For example, the preset condition may be a preset threshold of the warning data, and when the warning data is greater than the threshold, the warning mechanism is triggered.
Wherein the trigger pre-warning mechanism comprises:
s31, selecting an early warning mode according to the early warning service type;
in the invention, the early warning mode can be a mail, short message and other information delivery modes. Specifically, the early warning service and the early warning mode may be associated in advance, and one early warning service may correspond to one or more early warning modes. As shown in fig. 2, when the user inputs the target early warning service type in the early warning service types, the early warning mode one and the early warning mode two associated with the target early warning service type are displayed in the early warning mode column, and after the user clicks the early warning mode one, the early warning mode one is selected as the target early warning mode. As shown in fig. 3, different pre-warning modes are configured with different pre-warning mode parameters.
And S32, sending an early warning prompt in the early warning mode.
Specifically, an early warning prompt is sent to the execution account according to the execution frequency in the early warning mode parameters.
Furthermore, the invention can also modify the early warning rules according to the needs of the actual preferential activities, therefore, the method also comprises the following steps:
s4, displaying an operation selection interface of the user for each early warning rule;
wherein the operations comprise: view, edit, and delete. As shown in the early warning rule operation selection interface in fig. 4, after a user inputs keywords in the early warning rule name and clicks a query button, a plurality of queried early warning rule names, operations, rule descriptions, rule application objects, rule states and the like are displayed below the interface, and the rule states include valid and invalid states.
S5, receiving a target early warning rule and a target operation selected by a user;
specifically, the target early warning rule and the target operation can be determined by receiving clicks of the early warning rule and the specific operation by the user. As shown in fig. 4, if the user clicks on the warning rule B and the modification operation corresponding to the warning rule B, the warning rule B is the target warning rule, and the modification operation is the target operation.
And S6, modifying the target early warning rule according to the target operation.
Illustratively, if the user clicks the check operation, the interface jumps to the early warning rule setting page shown in fig. 3 for the user to check the early warning rule setting. If the user clicks the editing operation, the interface jumps to the early warning rule setting page shown in fig. 3 for the user to edit the early warning rule setting. And if the user clicks the deleting operation, deleting the target early warning rule.
Fig. 5 is a schematic structural diagram of a computer-assisted resource delivery management platform based on an early warning service according to the present invention, and as shown in fig. 5, the platform includes:
and a configuration module 50, configured to configure a plurality of early warning rules to generate an early warning rule set.
A selecting module 51, configured to select an early warning rule according to an early warning service type;
an obtaining module 52, configured to obtain early warning data that satisfies the early warning rule;
and the triggering module 53 is configured to trigger an early warning mechanism when the early warning data meets a preset condition.
In a specific embodiment, the configuration module 50 is specifically configured to configure basic information, an application object, and an early warning data screening condition of an early warning rule according to an early warning service type. The basic information of the early warning rule comprises an early warning rule name and an early warning rule description, an application object of the early warning rule comprises a route applicable to the early warning rule, and the early warning data screening condition of the early warning rule comprises an early warning index and a screening condition of the early warning index.
The trigger module 53 includes:
a sub-selection module 531 for selecting an early warning mode according to the early warning service type;
a sending module 532, configured to send an early warning prompt in the early warning manner.
Further, the platform further comprises:
the display module is used for displaying an operation selection interface of each early warning rule by a user;
the receiving module is used for receiving a target early warning rule and a target operation selected by a user;
and the modification module is used for modifying the target early warning rule according to the target operation.
Those skilled in the art will appreciate that the modules in the above-described embodiments of the apparatus may be distributed as described in the apparatus, and may be correspondingly modified and distributed in one or more apparatuses other than the above-described embodiments. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.
In the following, embodiments of the electronic device of the present invention are described, which may be regarded as an implementation in physical form for the above-described embodiments of the method and apparatus of the present invention. Details described in the embodiments of the electronic device of the invention should be considered supplementary to the embodiments of the method or apparatus described above; for details which are not disclosed in embodiments of the electronic device of the invention, reference may be made to the above-described embodiments of the method or the apparatus.
Fig. 6 is a block diagram of an exemplary embodiment of an electronic device according to the present invention. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 6, the electronic device 600 of the exemplary embodiment is represented in the form of a general-purpose data processing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different electronic device components (including the storage unit 620 and the processing unit 610), a display unit 640, and the like.
The storage unit 620 stores a computer readable program, which may be a code of a source program or a read-only program. The program may be executed by the processing unit 610 such that the processing unit 610 performs the steps of various embodiments of the present invention. For example, the processing unit 610 may perform the steps as shown in fig. 1.
The storage unit 620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)6201 and/or a cache memory unit 6202, and may further include a read-only memory unit (ROM) 6203. The memory unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 5205 including, but not limited to: operating the electronic device, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 600 may also communicate with one or more external devices 300 (e.g., keyboard, display, network device, bluetooth device, etc.), enable a user to interact with the electronic device 600 via the external devices 600, and/or enable the electronic device 600 to communicate with one or more other data processing devices (e.g., router, modem, etc.). Such communication can occur via input/output (I/O) interfaces 650, and can also occur via network adapter 660 with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet). The network adapter 660 may communicate with other modules of the electronic device 600 via the bus 630. It should be appreciated that although not shown in FIG. 6, other hardware and/or software modules may be used in the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID electronics, tape drives, and data backup storage electronics, among others.
FIG. 7 is a schematic diagram of one computer-readable medium embodiment of the present invention. As shown in fig. 7, the computer program may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electronic device, apparatus, or device that is electronic, magnetic, optical, electromagnetic, infrared, or semiconductor, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. The computer program, when executed by one or more data processing devices, enables the computer-readable medium to implement the above-described method of the invention, namely: selecting an early warning rule according to the early warning service type; acquiring early warning data meeting the early warning rule; and when the early warning data meets a preset condition, triggering an early warning mechanism.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments of the present invention described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a computer-readable storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a data processing device (which can be a personal computer, a server, or a network device, etc.) execute the above-mentioned method according to the present invention.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution electronic device, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including object oriented programming languages such as Java, C + + or the like and conventional procedural programming languages, such as "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
In summary, the present invention can be implemented as a method, an apparatus, an electronic device, or a computer-readable medium executing a computer program. Some or all of the functions of the present invention may be implemented in practice using a general purpose data processing device such as a microprocessor or a Digital Signal Processor (DSP).
While the foregoing embodiments have described the objects, aspects and advantages of the present invention in further detail, it should be understood that the present invention is not inherently related to any particular computer, virtual machine or electronic device, and various general-purpose machines may be used to implement the present invention. The invention is not to be considered as limited to the specific embodiments thereof, but is to be understood as being modified in all respects, all changes and equivalents that come within the spirit and scope of the invention.
Claims (9)
1. A computer-aided resource delivery management method based on early warning service is characterized by comprising the following steps:
selecting an early warning rule according to the early warning service type;
acquiring early warning data meeting the early warning rule;
and when the early warning data meets a preset condition, triggering an early warning mechanism.
2. The method of claim 1, wherein prior to selecting an early warning rule based on early warning traffic, the method further comprises:
and configuring a plurality of early warning rules to generate an early warning rule set.
3. The method of any of claims 1-2, wherein configuring the early warning rule comprises:
and configuring basic information, application objects and early warning data screening conditions of the early warning rules according to the early warning service type.
4. The method of any one of claims 1-3, wherein the triggering an early warning mechanism comprises:
selecting an early warning mode according to the early warning service type;
and sending an early warning prompt in the early warning mode.
5. The method according to any one of claims 1-4, further comprising:
displaying an operation selection interface of each early warning rule by a user;
receiving a target early warning rule and a target operation selected by a user;
and modifying the target early warning rule according to the target operation.
6. The method according to any one of claims 1 to 5, wherein the basic information of the early warning rule comprises an early warning rule name and an early warning rule description, the application object of the early warning rule comprises a route to which the early warning rule applies, and the early warning data screening condition of the early warning rule comprises an early warning index and a screening condition of the early warning index.
7. A computer-aided resource delivery management platform based on early warning service, the platform comprising:
the selection module is used for selecting the early warning rule according to the early warning service type;
the acquisition module is used for acquiring early warning data meeting the early warning rule;
and the triggering module is used for triggering the early warning mechanism when the early warning data meets the preset conditions.
8. An electronic device, comprising:
a processor; and
a memory storing computer-executable instructions that, when executed, cause the processor to perform the method of any of claims 1-6.
9. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-6.
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| CN202011033266.8A CN112348552A (en) | 2020-09-27 | 2020-09-27 | Computer-aided resource delivery management method and platform based on early warning service |
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| CN202011033266.8A CN112348552A (en) | 2020-09-27 | 2020-09-27 | Computer-aided resource delivery management method and platform based on early warning service |
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