CN113487183B - Method, device and storage medium for determining service resources in vertical service scene - Google Patents
Method, device and storage medium for determining service resources in vertical service scene Download PDFInfo
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Abstract
The embodiment of the application discloses a method, a device and a storage medium for determining service resources in a vertical service scene. The method comprises the steps of determining a business association subject and a business association account; determining a service resource allocation strategy corresponding to a vertical service scene, wherein the service resource allocation strategy comprises a calculation method for predicting expenditure resources and a calculation method for resource allocation risks; determining a target estimated expenditure resource based on the estimated expenditure resource calculation method by taking the business association subject and the business association account as reference data; determining a target resource allocation risk parameter by taking the service association account as reference data based on the calculation method of the resource allocation risk; and determining the business resources in the vertical business scene according to the target expected expenditure resources and the target resource allocation risk parameters. According to the embodiment of the application, the service resource can be automatically determined, so that the service resource determination efficiency and objectivity are improved.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a method, a device and a storage medium for determining service resources in a vertical service scene.
Background
The resources that need to be configured for different traffic scenarios are different. In a vertical business scenario, in order to reasonably allocate resources, many related technologies rely on manual configuration according to experience, but the subjectivity of the configuration is strong, the objectivity is not high, and the resource allocation is not uniform, the allocation is not timely or the allocation is missed.
Disclosure of Invention
In order to solve at least one of the above technical problems, embodiments of the present application provide a method, an apparatus, a storage medium, and an electronic device for determining service resources in a vertical service scenario.
In one aspect, an embodiment of the present application provides a method for determining service resources in a vertical service scenario, where the method includes:
determining a business association subject and a business association account;
determining a service resource allocation strategy corresponding to a vertical service scene, wherein the service resource allocation strategy comprises a calculation method for predicting expenditure resources and a calculation method for resource allocation risks;
determining a target estimated expenditure resource based on the estimated expenditure resource calculation method by taking the business association subject and the business association account as reference data;
determining a target resource allocation risk parameter by taking the service association account as reference data based on a calculation method of the resource allocation risk;
and determining the business resources in the vertical business scene according to the target expected expenditure resources and the target resource allocation risk parameters.
In one embodiment, the determining the target resource allocation risk parameter based on the calculation method of the resource allocation risk by using the service association account as reference data includes:
in the vertical business scene, determining a business constraint account corresponding to the business association account;
counting the total number of preset accounts, wherein the preset accounts represent first accounts consuming related services provided by each service constraint object in a preset time interval, and the service constraint objects are service association accounts belonging to the service constraint accounts;
determining a risk coefficient of the business constraint account according to the total number of the first accounts;
and determining the risk coefficient of the business constraint account as the value of the target resource allocation risk parameter.
In one embodiment, the determining the target estimated payout resource based on the estimated payout resource calculation method using the service association subject and the service association account as reference data includes:
determining a first characteristic parameter, wherein the first characteristic parameter represents an average value of resources consumed by each target first account every day, the target first account represents a first association relationship with the service association subject, and a second association relationship exists between the target first account and the service association account;
determining a second characteristic parameter, wherein the second characteristic parameter represents an average value of the monthly consumption time duration of each target first account;
and determining the product of the first characteristic parameter and the second characteristic parameter as the value of the estimated expenditure resource.
In one embodiment, the determining the first characteristic parameter includes:
determining a current target triplet according to the service association subject and the service association account, wherein the current target triplet is composed of the service association subject, the service association account and a service mode;
and determining the first characteristic parameter according to the service mode.
In one embodiment, the determining the first characteristic parameter according to the service mode includes:
judging whether target historical data exists or not, wherein the target historical data represents historical consumption conditions of a target first account in a preset time interval;
if the target history record exists, determining a first characteristic parameter according to the target history record and the service mode;
and if the target history record does not exist, repeating the service resource determining method in the vertical service scene after delaying the preset time interval.
In one embodiment, in a case where the traffic pattern points to a first traffic, the determining a first characteristic parameter according to the target history and the traffic pattern includes: determining a hidden consumption resource according to the target historical record, and determining the hidden consumption resource as the first characteristic parameter;
in the case that the traffic pattern points to a second traffic, said determining a first characteristic parameter according to the target history and the traffic pattern includes: and determining implicit consumption resources and explicit consumption resources according to the target historical record, and determining the comprehensive value of the implicit consumption resources and the explicit consumption resources as the first characteristic parameter.
In one embodiment, the determining the service resource in the vertical service scenario according to the target predicted payout resource and the target resource allocation risk parameter includes: and determining the product of the target expected expenditure resource and the target resource allocation risk parameter as the value of the service resource.
On the other hand, an embodiment of the present application provides a service resource determining device in a vertical service scenario, where the device includes:
the business related data determining module is used for determining a business related main body and a business related account;
the strategy acquisition module is used for determining a service resource configuration strategy corresponding to a vertical service scene, wherein the service resource configuration strategy comprises a calculation method for predicting expenditure resources and a calculation method for resource configuration risks;
the target estimated expenditure resource determining module is used for determining target estimated expenditure resources based on a calculation method of the estimated expenditure resources by taking the business association main body and the business association account as reference data;
the target resource allocation risk parameter determining module is used for determining target resource allocation risk parameters based on a calculation method of the resource allocation risk by taking the business associated account as reference data;
and the business resource determining module is used for determining business resources in the vertical business scene according to the target expected expenditure resources and the target resource configuration risk parameters.
In one embodiment, the target resource configuration risk parameter determining module is configured to perform the following operations:
in the vertical business scene, determining a business constraint account corresponding to the business association account;
counting the total number of preset accounts, wherein the preset accounts represent first accounts consuming related services provided by each service constraint object in a preset time interval, and the service constraint objects are service association accounts belonging to the service constraint accounts;
determining a risk coefficient of the business constraint account according to the total number of the first accounts;
and determining the risk coefficient of the business constraint account as the value of the target resource allocation risk parameter.
In one embodiment, the target projected expenditure resource determination module is configured to:
determining a first characteristic parameter, wherein the first characteristic parameter represents an average value of resources consumed by each target first account every day, the target first account represents a first association relationship with the service association subject, and a second association relationship exists between the target first account and the service association account;
determining a second characteristic parameter, wherein the second characteristic parameter represents an average value of the monthly consumption time duration of each target first account;
and determining the product of the first characteristic parameter and the second characteristic parameter as the value of the estimated expenditure resource.
In one embodiment, the target projected expenditure resource determination module is further configured to:
determining a current target triplet according to the service association subject and the service association account, wherein the current target triplet is composed of the service association subject, the service association account and a service mode;
and determining the first characteristic parameter according to the service mode.
In one embodiment, the target projected expenditure resource determination module is further configured to:
judging whether target historical data exists or not, wherein the target historical data represents historical consumption conditions of a target first account in a preset time interval;
if the target history record exists, determining a first characteristic parameter according to the target history record and the service mode;
and if the target history record does not exist, repeating the service resource determining method in the vertical service scene after delaying the preset time interval.
In one embodiment, the target projected expenditure resource determination module is further configured to: determining a hidden consumption resource according to the target historical record under the condition that the service mode points to a first service, and determining the hidden consumption resource as the first characteristic parameter;
and under the condition that the service mode points to the second service, determining an implicit consumption resource and an explicit consumption resource according to the target historical record, and determining the comprehensive value of the implicit consumption resource and the explicit consumption resource as the first characteristic parameter.
In one embodiment, the service resource determining module is configured to determine a product of the target predicted payout resource and the target resource configuration risk parameter as the value of the service resource.
In another aspect, an embodiment of the present application provides a computer readable storage medium, where at least one instruction or at least one program is stored, where the at least one instruction or at least one program is loaded and executed by a processor to implement the method for determining a service resource in a vertical service scenario described above.
In another aspect, an embodiment of the present application provides an electronic device including at least one processor, and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the at least one processor implements the method for determining service resources in the vertical service scenario by executing the instructions stored in the memory.
The embodiment of the application provides a method and a device for determining service resources in a vertical service scene, a storage medium and electronic equipment. According to the method for automatically determining the service resources in the vertical service scene, the service resource configuration strategy in the vertical service scene is determined through abstract modeling, and the service resources can be automatically determined based on the service resource configuration strategy, so that the service resource determination efficiency and objectivity are improved, the omission caused by manually determining the service resources is avoided, the service resource determination can be performed based on a batch processing mode, and the processing efficiency is further improved.
Drawings
In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or of the related art, the following description will briefly explain the drawings required to be used in the embodiments or the related art, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort to those skilled in the art.
Fig. 1 is a schematic flow chart of a method for determining service resources in a vertical service scenario according to an embodiment of the present application;
FIG. 2 is a flow chart of determining a target projected expense resource provided by an embodiment of the present application;
FIG. 3 is a flow chart for determining a first characteristic parameter provided by an embodiment of the present application;
FIG. 4 is a flowchart for determining a target resource configuration risk parameter provided by an embodiment of the present application;
fig. 5 is a block diagram of a service resource determining apparatus in a vertical service scenario provided in an embodiment of the present application.
Detailed Description
The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the embodiments of the present application, are within the scope of the embodiments of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the embodiments of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In order to make the objects, technical solutions and advantages disclosed in the embodiments of the present application more apparent, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the present application embodiments and are not intended to limit the present application embodiments.
The terms "first" and "second" are used below for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present embodiment, unless otherwise specified, the meaning of "plurality" is two or more.
The following describes a method for determining service resources in a vertical service scenario according to an embodiment of the present application, where the method for determining service resources in a vertical service scenario may be applied to the application environment described above. Fig. 1 shows a flow chart of a method for determining service resources in a vertical service scenario according to an embodiment of the present application, where the embodiment of the present application provides the method operation steps described in the embodiment or the flow chart, but may include more or fewer operation steps based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented by a system or server product in practice, the method may be performed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment) as shown in the embodiments or figures, where the method may include:
s101, determining a business association main body and a business association account.
In the embodiment of the application, the service association body and the service association account are both bodies related to the service, and by taking a recruitment scene as an example, the service association body can be an enterprise party for providing a recruitment post, and the service association account can be a labor party for providing the recruitment post. Accordingly, recruitment may also be understood as a consumption of a service provided by a service association entity and a service association account, and in the embodiment of the present application, a machine expression corresponding to a user consuming the service is referred to as a first account.
S102, determining a service resource allocation strategy corresponding to a vertical service scene, wherein the service resource allocation strategy comprises a calculation method for predicting expenditure resources and a calculation method for resource allocation risks.
The service resource configuration policy in the embodiment of the present application may be determined based on manually modeling a vertical service scenario, and the method for obtaining the service resource configuration policy is not limited in the present application. The vertical service refers to a service mode that a service associated account provides service under the constraint of an upper account, each service associated account is constrained by its corresponding upper account in the vertical service, one upper account may constrain a plurality of service associated accounts, in this embodiment, the upper account may also be referred to as a service constraint account, and each service associated account governed by the upper account may be referred to as a service constraint object corresponding to the service constraint account. Taking recruitment scenario as an example, the business associated account may be a labor service, the business constraint account may be a labor service supervisor, and each labor service provides recruitment service to the recruiter under its corresponding labor service supervisor constraint. For example, the service constraint account corresponding to the labor service manager is a, and the three labor services are governed by a, and the service association accounts of the three labor services are A1, A2 and A3 respectively, so that A1, A2 and A3 are all the service constraint objects governed by a.
S103, determining target estimated expenditure resources based on the estimated expenditure resources calculation method by taking the business association main body and the business association account as reference data.
In one embodiment, as shown in fig. 2, the determining the target estimated payout resource based on the estimated payout resource calculating method using the service association subject and the service association account as reference data includes:
s1031, determining a first characteristic parameter, wherein the first characteristic parameter represents an average value of resources consumed by each target first account every day, the target first account represents a first association relationship with the service association subject, and the target first account and the service association account have a second association relationship.
The embodiment of the application does not limit the first association relationship and the second association relationship, the first association relationship may be understood as the association relationship between the target first account and the service association subject in the vertical service mode, and the second association relationship may be understood as the association relationship between the target first account and the service association account in the vertical service mode.
Taking recruitment scenario as an example, the target first account is a first account employed by an enterprise pointed to by the business association entity and introduced by a labor institute pointed to by the business association entity. Each target first account corresponds to a real recruiter. The first association may be a corresponding relationship expressing employment between the business pointed by the business association entity and the recruiter pointed by the target first account, and the second association may be a corresponding relationship expressing referral between the business pointed by the business association entity and the recruiter pointed by the target first account. In this scenario the first characteristic parameter may be understood as an average daily payout amount per person, which may be understood as the resource consumed by the recruiter. For ease of understanding, the recruitment scenario will be described in detail below.
In one embodiment, as shown in fig. 3, the determining the first characteristic parameter includes:
s1, determining a current target triplet according to the service association main body and the service association account, wherein the current target triplet is composed of the service association main body, the service association account and the service mode.
The embodiment of the application can determine the corresponding service resources based on any target triplet of the service mode-oriented vertical service scene. The target triplet includes three fields, namely, a service association body, a service association account and a service mode, where the current target triplet is a target triplet in which the value of the service association body and the value of the service association account are the same as the value of the service association body and the value of the service association account in step S101, that is, the current target triplet is a target triplet of the service resource to be determined in this embodiment.
S2, determining the first characteristic parameter according to the service mode.
Specifically, the determining the first characteristic parameter according to the service mode includes:
s21, judging whether target historical data exist, wherein the target historical data represent historical consumption conditions of a target first account in a preset time interval.
According to the method and the device for predicting the business resources in the vertical business scene through the target historical data, the business resources can be determined according to the target historical data, so that the finally determined business resources can be guaranteed to fully meet the consumption requirements of the first account, and meanwhile waste of the business resources is basically avoided.
Taking recruitment scenario as an example, the target history data specifically characterizes the generated expense condition of the target first account in the preset time interval.
S22, if the target history record exists, determining a first characteristic parameter according to the target history record and the service mode.
S23, if the target history record does not exist, repeating the service resource determining method in the vertical service scene after delaying the preset time interval.
The embodiment of the application considers that if the target history record does not exist, a new business relation is generated, such as a new enterprise, a new labor service or a new business mode is introduced. In this case, the blind prediction of the service resources based on the historical consumption conditions corresponding to other service relationships is inaccurate, and therefore, after a preset time interval is delayed, the service resources are redetermined after enough target histories are generated. During this time interval, the traffic resource may now be set to some preset value for a while.
In particular, in case the traffic pattern points to a first traffic, the determining a first characteristic parameter from the target history and the traffic pattern comprises: and determining a hidden consumption resource according to the target historical record, and determining the hidden consumption resource as the first characteristic parameter.
In the case that the traffic pattern points to a second traffic, said determining a first characteristic parameter according to the target history and the traffic pattern includes: and determining implicit consumption resources and explicit consumption resources according to the target historical record, and determining the comprehensive value of the implicit consumption resources and the explicit consumption resources as the first characteristic parameter.
In this embodiment of the present application, the first service may be understood as a service mode that does not require the service party to participate in configuring the service resource, and the second service may be understood as a service mode that requires the service party to participate in configuring the service resource. Implicit consumed resources may be understood as resources not directly provided by the business party, and explicit consumed resources may be understood as resources directly provided by the business party. Still taking recruitment scenario as an example, the service party is the recruiter and the recruiter, so that the service party is not required to participate in configuration of service resources in the first service, but the service resources are independently configured by the intermediate party, that is, each person of the recruiter pays the amount per day by the intermediate party, and the payment is calculated in the intermediate fee collected by the intermediate party, so that the embodiment considers the payment as an implicit consumption resource.
Still taking recruitment scenario as an example, a part of service resources can be configured by the recruiter and the intermediate in the second service, that is, each person of the recruiter pays an amount of money together by the intermediate and the recruiter every day, wherein the part paid by the intermediate is calculated in the intermediary fee charged by the intermediate to form an implicit consumption resource, and the part paid by the recruiter is an explicit consumption resource.
The embodiment of the application does not limit the calculation method of the implicit consumption resource and the explicit consumption resource, and can be obtained by calculation according to the related financial statement.
S1032. determining a second characteristic parameter characterizing an average value of the monthly consumption time period of each target first account.
In a recruitment scenario, the second characteristic parameter may be understood as an average of monthly incumbent days per person. In one embodiment, the second characteristic parameter may be determined based on the following formula: average monthly incumbent days = (total incumbent days 1 month/total number of 1 month+total incumbent days 2 months/total number of 2 months+ … … +total number of 12 months/total number of 12 months)/(number of months for which incumbent number is greater than 0).
S1033, determining the product of the first characteristic parameter and the second characteristic parameter as the value of the estimated expenditure resource.
That is, in a recruitment scenario, the estimated amount of expenditure = average amount of expenditure per person per day, average number of days per person per month.
S104, determining target resource allocation risk parameters by taking the service association account as reference data and based on the calculation method of the resource allocation risk.
The target resource allocation risk parameter is related to a specific service scenario, and for a vertical service scenario, as shown in fig. 4, the determining the target resource allocation risk parameter based on the calculation method of the resource allocation risk with the service-related account as reference data includes:
s1041, determining a service constraint account corresponding to the service association account in the vertical service scene.
S1042, counting the total number of preset accounts, wherein the preset accounts represent first accounts consuming related services provided by each service constraint object in a preset time interval, and the service constraint objects are service association accounts belonging to the service constraint accounts.
Still taking recruitment scenario as an example, the labor manager (business constraint account) manages a plurality of labor tasks (business association account), and the first account associated with each labor task is a preset account, that is, the statistics in step S1042 is the total number of recruiters of a plurality of labor tasks managed by the labor manager.
S1043, determining risk coefficients of the business constraint accounts according to the total number of the first accounts.
For example, if the counted number is less than 1000 people, determining that the risk coefficient of the business constraint account is 1; if the counted number is 1000-5000, determining that the risk coefficient of the business constraint account is 0.9; if the counted number is more than 5000, determining that the risk coefficient of the business constraint account is 0.8.
S1044, determining the risk coefficient of the business constraint account as the value of the target resource allocation risk parameter.
In the vertical business scenario, responsibility can be divided by a labor manager, that is to say, the risk coefficient of the business constraint account is determined as the value of the target resource allocation risk parameter.
S105, determining service resources in the vertical service scene according to the target expected expenditure resources and the target resource allocation risk parameters.
Specifically, the product of the target estimated payout resource and the target resource allocation risk parameter is determined as the value of the service resource.
The service resource determining method provided by the embodiment of the application can automatically determine the service resource, ensures that the service resource fully meets the requirement of service consumption, basically does not generate extra resource waste, and has the advantages of full objectivity, fairness and higher accuracy compared with the manual determination of the service resource.
In one embodiment, the business resources in the vertical business scenario described above may be determined based on a batch mode. Specifically, a target triplet of the service resource to be determined can be determined based on batch processing, and then the corresponding service resource is determined for the target triplet. The target triples in the embodiment of the application are a service association main body, a service association account and a service mode. Specifically, the embodiment of the application provides a target triplet determination method, which comprises the following steps:
s201, determining time search conditions corresponding to batch processing.
S202, determining a first data record list according to the time search condition, wherein the first data record list is composed of first data records which are used for recording attribute information related to a first account and business and meet the time search condition.
In this embodiment of the present application, the first record table includes at least the following fields: the method comprises the steps of a first account identifier, a business association body, a business association account, a second account identifier, creation time and update time. The second account is used for managing orders related to the business, that is, the second account identification may be understood as an order identification. In some scenarios, a new record may be generated based on the active operation of the first account, the generation time of the new record being embodied in the creation time field, and in other scenarios, an existing record may be updated based on the active operation of the first account, such update being embodied in the update time field.
Illustratively, taking the time search condition as "one day" as an example, records in the first record table with created times or updated times in the last day may be filtered out to form the first data record table.
S203, determining a second data record list according to the time search condition, wherein the second data record list is composed of second data records which meet the time search condition and are used for recording service mode information.
In this embodiment of the present application, the second record table includes at least the following fields: the method comprises the steps of a business association main body, a business association account, a second account identifier, a business mode and a time interval. The embodiment of the present application does not limit the service mode, and may be various service modes, such as a service settlement mode, a service operation mode, and the like, where the service average consumption resource above may be recorded.
S204, acquiring a service mode configuration management table.
The service mode configuration management table at least comprises the following fields: business association body, business association account, business mode and business configuration resource. The business association body, the business association account and the business mode are a target triplet.
S205, screening the second data record list based on the first data record list to obtain a target second data record list, wherein a second account identifier in the target second data record list is hit by a record in the first data record list.
S206, extracting values of three fields of a service association body, a service association account and a service mode for each record in the target second data record to obtain a third data record list.
S207, determining a target triplet list based on the service mode configuration management table, wherein the target triplet in the target triplet is not hit by the service mode configuration management table and is hit by the third data record list.
Specifically, according to the method provided by the embodiment of the application, for each service mode in the target triplet list, the target triplet of the vertical service scene is pointed to, and the corresponding service resource is determined.
The embodiment of the application also discloses a device for determining service resources in a vertical service scene, as shown in fig. 5, where the device includes:
the service related data determining module 301 is configured to determine a service association body and a service association account.
The policy obtaining module 302 is configured to determine a service resource configuration policy corresponding to a vertical service scenario, where the service resource configuration policy includes a calculation method of a predicted expenditure resource and a calculation method of a resource configuration risk.
The target estimated payout resource determining module 303 is configured to determine a target estimated payout resource based on the calculation method of the estimated payout resource using the service association subject and the service association account as reference data.
The target resource allocation risk parameter determining module 304 is configured to determine a target resource allocation risk parameter based on the calculation method of the resource allocation risk by using the service association account as reference data.
The service resource determining module 305 is configured to determine a service resource in the vertical service scenario according to the target expected expenditure resource and the target resource allocation risk parameter.
In one embodiment, the target resource configuration risk parameter determining module is configured to perform the following operations:
in the vertical business scene, determining a business constraint account corresponding to the business association account;
counting the total number of preset accounts, wherein the preset accounts represent first accounts consuming related services provided by each service constraint object in a preset time interval, and the service constraint objects are service association accounts belonging to the service constraint accounts;
determining a risk coefficient of the business constraint account according to the total number of the first accounts;
and determining the risk coefficient of the business constraint account as the value of the target resource allocation risk parameter.
In one embodiment, the target projected expenditure resource determination module is configured to:
determining a first characteristic parameter, wherein the first characteristic parameter represents an average value of resources consumed by each target first account every day, the target first account represents a first association relationship with the service association subject, and a second association relationship exists between the target first account and the service association account;
determining a second characteristic parameter, wherein the second characteristic parameter represents an average value of the monthly consumption time duration of each target first account;
and determining the product of the first characteristic parameter and the second characteristic parameter as the value of the estimated expenditure resource.
In one embodiment, the target projected expenditure resource determination module is further configured to:
determining a current target triplet according to the service association subject and the service association account, wherein the current target triplet is composed of the service association subject, the service association account and a service mode;
and determining the first characteristic parameter according to the service mode.
In one embodiment, the target projected expenditure resource determination module is further configured to:
judging whether target historical data exists or not, wherein the target historical data represents historical consumption conditions of a target first account in a preset time interval;
if the target history record exists, determining a first characteristic parameter according to the target history record and the service mode;
and if the target history record does not exist, repeating the service resource determining method in the vertical service scene after delaying the preset time interval.
In one embodiment, the target projected expenditure resource determination module is further configured to: determining a hidden consumption resource according to the target historical record under the condition that the service mode points to a first service, and determining the hidden consumption resource as the first characteristic parameter;
and under the condition that the service mode points to the second service, determining an implicit consumption resource and an explicit consumption resource according to the target historical record, and determining the comprehensive value of the implicit consumption resource and the explicit consumption resource as the first characteristic parameter.
In one embodiment, the service resource determining module is configured to determine a product of the target predicted payout resource and the target resource configuration risk parameter as the value of the service resource.
Specifically, the embodiment of the application discloses a service resource determining device in a vertical service scene and the corresponding method embodiments based on the same inventive concept. Please refer to the method embodiment for details, which will not be described herein.
Embodiments of the present application also provide a computer program product or computer program comprising computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium and executes the computer instructions to cause the computer device to perform the method for determining service resources in a vertical service scenario described above.
Embodiments of the present application also provide a computer-readable storage medium, where a plurality of instructions may be stored. The above instructions may be adapted to be loaded and executed by a processor to perform the method for determining service resources in a vertical service scenario described in the embodiments of the present application.
The embodiment of the application provides electronic equipment, which comprises at least one processor and a memory in communication connection with the at least one processor; the memory stores instructions executable by the at least one processor, and the at least one processor implements the method for determining service resources in the complex vertical service scenario by executing the instructions stored in the memory.
It should be noted that: the foregoing sequence of the embodiments of the present application is only for describing, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this application. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
All embodiments in the embodiments of the present application are described in a progressive manner, and identical and similar parts of all embodiments are mutually referred to, and each embodiment focuses on the differences from other embodiments. In particular, for the device and server embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and references to the parts of the description of the method embodiments are only required.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing description of the preferred embodiments is merely illustrative of the present application and is not intended to limit the embodiments of the present application, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the embodiments of the present application are intended to be included in the scope of the embodiments of the present application.
Claims (8)
1. A method for determining service resources in a vertical service scene is characterized by comprising the following steps:
determining a business association subject and a business association account;
determining a service resource allocation strategy corresponding to a vertical service scene, wherein the service resource allocation strategy comprises a calculation method for predicting expenditure resources and a calculation method for resource allocation risks;
determining a target estimated expenditure resource based on the estimated expenditure resource calculation method by taking the business association subject and the business association account as reference data;
determining a target resource allocation risk parameter by taking the service association account as reference data based on a calculation method of the resource allocation risk;
determining service resources in the vertical service scene according to the target expected expenditure resources and the target resource allocation risk parameters;
the determining a target resource allocation risk parameter by using the service association account as reference data based on the calculation method of the resource allocation risk comprises the following steps:
in the vertical business scene, determining a business constraint account corresponding to the business association account;
counting the total number of preset accounts, wherein the preset accounts represent first accounts consuming related services provided by each service constraint object in a preset time interval, and the service constraint objects are service association accounts belonging to the service constraint accounts;
determining a risk coefficient of the business constraint account according to the total number of the first accounts;
determining the risk coefficient of the business constraint account as the value of the target resource allocation risk parameter;
wherein the determining the target estimated payout resource based on the estimated payout resource calculation method using the service association subject and the service association account as reference data includes:
determining a first characteristic parameter, wherein the first characteristic parameter represents an average value of resources consumed by each target first account every day, the target first account represents a first association relationship with the service association subject, and a second association relationship exists between the target first account and the service association account;
determining a second characteristic parameter, wherein the second characteristic parameter represents an average value of the monthly consumption time duration of each target first account;
and determining the product of the first characteristic parameter and the second characteristic parameter as the value of the estimated expenditure resource.
2. The method of claim 1, wherein determining the first characteristic parameter comprises:
determining a current target triplet according to the service association subject and the service association account, wherein the current target triplet is composed of the service association subject, the service association account and a service mode;
and determining the first characteristic parameter according to the service mode.
3. The method of claim 2, wherein said determining said first characteristic parameter from said traffic pattern comprises:
judging whether target historical data exists or not, wherein the target historical data represents historical consumption conditions of a target first account in a preset time interval;
if a target history record exists, determining a first characteristic parameter according to the target history record and the service mode;
and if the target history record does not exist, repeating the service resource determining method in the vertical service scene after delaying the preset time interval.
4. A method according to claim 3, characterized in that:
in the case that the traffic pattern points to a first traffic, said determining a first characteristic parameter according to the target history and the traffic pattern includes: determining a hidden consumption resource according to the target historical record, and determining the hidden consumption resource as the first characteristic parameter;
in the case that the traffic pattern points to a second traffic, said determining a first characteristic parameter according to the target history and the traffic pattern includes: and determining implicit consumption resources and explicit consumption resources according to the target historical record, and determining the comprehensive value of the implicit consumption resources and the explicit consumption resources as the first characteristic parameter.
5. The method of claim 1, the determining the business resources in the vertical business scenario according to the target projected expense resources and the target resource configuration risk parameters, comprising:
and determining the product of the target expected expenditure resource and the target resource allocation risk parameter as the value of the service resource.
6. A device for determining service resources in a vertical service scenario, the device comprising:
the business related data determining module is used for determining a business related main body and a business related account;
the strategy acquisition module is used for determining a service resource configuration strategy corresponding to a vertical service scene, wherein the service resource configuration strategy comprises a calculation method for predicting expenditure resources and a calculation method for resource configuration risks;
the target estimated expenditure resource determining module is used for determining target estimated expenditure resources based on a calculation method of the estimated expenditure resources by taking the business association main body and the business association account as reference data; the method comprises the steps of determining a first characteristic parameter, wherein the first characteristic parameter represents an average value of resources consumed by each target first account every day, the target first account represents a first association relationship with the business association subject, and a second association relationship exists between the target first account and the business association account; determining a second characteristic parameter, wherein the second characteristic parameter represents an average value of the monthly consumption time duration of each target first account; determining a product of the first characteristic parameter and the second characteristic parameter as a value of the estimated payout resource;
the target resource allocation risk parameter determining module is used for determining target resource allocation risk parameters based on a calculation method of the resource allocation risk by taking the business associated account as reference data; the method is particularly used for determining a business constraint account corresponding to the business association account in the vertical business scene; counting the total number of preset accounts, wherein the preset accounts represent first accounts consuming related services provided by each service constraint object in a preset time interval, and the service constraint objects are service association accounts belonging to the service constraint accounts; determining a risk coefficient of the business constraint account according to the total number of the first accounts; determining the risk coefficient of the business constraint account as the value of the target resource allocation risk parameter;
and the business resource determining module is used for determining business resources in the vertical business scene according to the target expected expenditure resources and the target resource configuration risk parameters.
7. An electronic device comprising a processor and a memory, wherein the memory stores at least one instruction or at least one program, the at least one instruction or the at least one program being loaded and executed by the processor to implement the method for determining service resources in a vertical service scenario according to any one of claims 1 to 5.
8. A computer readable storage medium having stored therein at least one instruction or at least one program loaded and executed by a processor to implement the method of business resource determination in a vertical business scenario of any one of claims 1 to 5.
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