CN113487183A - 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 and a device for determining service resources in a vertical service scene and a storage medium. The method comprises the steps of determining a business association main body and a business association account; determining a business resource allocation strategy corresponding to a vertical business scene, wherein the business 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 calculation method of the estimated expenditure resource by taking the business association main body and the business association account as reference data; determining a target resource allocation risk parameter based on the resource allocation risk calculation method by taking the business-associated account as reference data; and determining the service resources in the vertical service scene according to the target estimated expenditure resources and the target resource configuration risk parameters. The embodiment of the application can automatically determine the business resources, thereby improving the efficiency and the objective degree of determining the business resources.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a method and a device for determining service resources in a vertical service scene and a storage medium.
Background
The resources that need to be configured are different for different service scenarios. In a vertical service scene, in order to reasonably allocate resources, many related technologies rely on manual configuration according to experience, but the configuration has strong subjectivity and low objective degree, which may cause uneven resource allocation, untimely allocation or missed allocation.
Disclosure of Invention
In order to solve at least one technical problem, embodiments of the present application provide a method, an apparatus, a storage medium, and an electronic device for determining a service resource 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 business resource allocation strategy corresponding to a vertical business scene, wherein the business 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 calculation method of the estimated expenditure resource by taking the business association subject and the business association account as reference data;
determining a target resource configuration risk parameter based on the resource configuration risk calculation method by taking the business-related account as reference data;
and determining the service resources in the vertical service scene according to the target estimated expenditure resources and the target resource configuration risk parameters.
In one embodiment, the determining a target resource allocation risk parameter based on the resource allocation risk calculation method by using the business-related account as reference data includes:
in the vertical service scene, determining a service constraint account corresponding to the service associated account;
counting the total number of preset accounts, wherein the preset accounts represent first accounts which consume related services provided by each service constraint object in a preset time interval, and the service constraint objects are service associated accounts which belong 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 risk parameter configured for the target resource.
In one embodiment, the determining a target projected expense resource based on the calculation method of the projected expense resource by using the business-related subject and the business-related 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 that a first association relationship exists with the business association subject, and the target first account represents that a second association relationship exists with the business association account;
determining a second characteristic parameter, wherein the second characteristic parameter represents an average value of the consumption time of each target first account per month;
determining the product of the first characteristic parameter and the second characteristic parameter as the value of the predicted expenditure resource.
In one embodiment, the determining the first characteristic quantity includes:
determining a current target triple according to the service association main body and the service association account, wherein the current target triple is composed of the service association main body, the service association account and a service mode;
and determining the first characteristic parameter according to the service mode.
In one embodiment, said determining said first characteristic parameter according to said traffic pattern comprises:
judging whether target historical data exist or not, wherein the target historical data represent the historical consumption condition 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 historical record does not exist, delaying the preset time interval and then repeatedly executing the service resource determining method in the vertical service scene.
In one embodiment, in a case where the service mode points to a first service, the determining a first characteristic parameter according to the target history and the service mode includes: determining implicit consumption resources according to the target historical records, and determining the implicit consumption resources as the first characteristic parameters;
determining a first characteristic parameter according to the target history record and the service mode under the condition that the service mode points to a second service, comprising: and determining implicit consumption resources and explicit consumption resources according to the target historical records, 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 business resources in the vertical business scenario according to the target projected expense resources and the target resource configuration risk parameters includes: and determining the product of the target estimated expenditure resource and the target resource configuration risk parameter as the value of the business resource.
In another aspect, an embodiment of the present application provides a device for determining service resources in a vertical service scenario, where the device includes:
the service related data determining module is used for determining a service related main body and a service related account;
the strategy acquisition module is used for determining a business resource allocation strategy corresponding to the vertical business scene, wherein the business resource allocation strategy comprises a calculation method for predicting expenditure resources and a calculation method for resource allocation risks;
the target estimated expenditure resource determining module is used for determining target estimated expenditure resources based on the 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 the resource allocation risk calculation method by taking the business-associated account as reference data;
and the service resource determining module is used for determining the service resources in the vertical service scene according to the target estimated expenditure resources and the target resource configuration risk parameters.
In one embodiment, the target resource configuration risk parameter determination module is configured to perform the following operations:
in the vertical service scene, determining a service constraint account corresponding to the service associated account;
counting the total number of preset accounts, wherein the preset accounts represent first accounts which consume related services provided by each service constraint object in a preset time interval, and the service constraint objects are service associated accounts which belong 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 risk parameter configured for the target resource.
In one embodiment, the target projected expense resource determination module is 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 that a first association relationship exists with the business association subject, and the target first account represents that a second association relationship exists with the business association account;
determining a second characteristic parameter, wherein the second characteristic parameter represents an average value of the consumption time of each target first account per month;
determining the product of the first characteristic parameter and the second characteristic parameter as the value of the predicted expenditure resource.
In one embodiment, the target projected expense resource determination module is further configured to:
determining a current target triple according to the service association main body and the service association account, wherein the current target triple is composed of the service association main body, 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 expense resource determination module is further configured to:
judging whether target historical data exist or not, wherein the target historical data represent the historical consumption condition 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 historical record does not exist, delaying the preset time interval and then repeatedly executing the service resource determining method in the vertical service scene.
In one embodiment, the target projected expense resource determination module is further configured to: under the condition that the service mode points to a first service, determining implicit consumption resources according to the target historical record, and determining the implicit consumption resources as the first characteristic parameters;
and under the condition that the service mode points to a second service, 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 business resource determining module is configured to determine a product of the target projected expense resource and the target resource configuration risk parameter as a value of the business 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 in the computer-readable storage medium, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the service resource determination method in the 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 connected 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 a 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. The embodiment of the application provides an automatic determination method of business resources in a vertical business scene, which determines a business resource configuration strategy in the scene by performing abstract modeling on the vertical business scene, and can automatically determine the business resources based on the business resource configuration strategy, thereby improving the business resource determination efficiency and the objective degree, avoiding careless omission caused by artificial determination of the business resources, and further improving the processing efficiency because the determination of the business resources can be performed based on a batch processing mode.
Drawings
In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the related art, the drawings used in the description of the embodiments or the related art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without inventive efforts.
Fig. 1 is a schematic flowchart of a method for determining service resources in a vertical service scenario according to an embodiment of the present application;
FIG. 2 is a schematic flow chart diagram for determining a target projected expense resource provided by an embodiment of the present application;
fig. 3 is a flowchart for determining a first characteristic parameter according to an embodiment of the present application;
FIG. 4 is a flowchart for determining a risk parameter of a target resource configuration according to an embodiment of the present disclosure;
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 technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without any creative effort belong to the protection scope of the embodiments in the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of the embodiments of the present application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation 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, 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 clearly apparent, the embodiments of the present application are described in further detail below with reference to the accompanying drawings and the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the embodiments of the application and are not intended to limit the embodiments of the application.
In the following, the terms "first", "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present embodiment, "a plurality" means two or more unless otherwise specified.
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. Fig. 1 is a flow chart illustrating a method for determining service resources in a vertical service scenario according to an embodiment of the present application, which provides the operation steps of the method as described in the embodiment or the flow chart, but may include more or less operation steps based on conventional or non-creative labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When a practical system or server product executes, it may execute sequentially or in parallel (e.g. in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the drawings, and the methods may include:
s101, determining a business association main body and a business association account.
In the embodiment of the application, the service association main body and the service association account are both main bodies related to the service, and illustratively, taking a recruitment scene as an example, the service association main body may be an enterprise party providing a recruitment position, and the service association account may be a labor party providing the recruitment position. Correspondingly, the recruitment can also be understood as a consumption of the service provided by the service-associated main body and the service-associated account, and in the embodiment of the present application, the machine expression corresponding to the user who consumes the service is referred to as a first account.
S102, determining a business resource allocation strategy corresponding to the vertical business scene, wherein the business resource allocation strategy comprises a calculation method for predicting expenditure resources and a calculation method for resource allocation risks.
The service resource configuration strategy in the embodiment of the application can be determined based on manual modeling of the vertical service scene, and the method for acquiring the service resource configuration strategy is not limited in the application. The vertical service refers to a service mode in which service-related accounts provide service under the constraint of a superior account, each service-related account is constrained by the superior account corresponding to the service-related account in the vertical service, one superior account can constrain a plurality of service-related accounts, the superior account can also be referred to as a service-constrained account in the embodiment of the application, and each service-related account governed by the superior account can be referred to as a service-constrained object corresponding to the service-constrained account. Taking the recruitment scene as an example, the service association account can be a labor service, the service constraint account can be a labor service supervisor, and each labor service provides recruitment service for a recruiter under the constraint of the corresponding labor service supervisor. For example, the business constraint account corresponding to the labor director is a, which governs three labor services, and the business-related accounts of the three labor services are respectively a1, a2 and A3, so a1, a2 and A3 are all business constraint objects governed by a.
And S103, determining target estimated expenditure resources by using the business association main body and the business association account as reference data based on the calculation method of the estimated expenditure resources.
In an embodiment, as shown in fig. 2, the determining a target predicted expenditure resource based on the calculation method of the predicted expenditure resource by using the business-related subject and the business-related account as reference data includes:
and 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 that a first association relationship exists with the business association subject, and the target first account and the business association account have a second association relationship.
The first association relationship and the second association relationship are not limited in the embodiments of the present application, the first association relationship may be understood as an 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 an association relationship between the target first account and the service association account in the vertical service mode.
Taking the recruitment scenario as an example, the target first account is a first account hired by a business that the business-related entity points to and recommended by a labor that the business-related entity points to. Each targeted first account corresponds to a real recruiter. The first association can correspondingly express a employment relationship between a business pointed to by the business association subject and a recipient pointed to by the target first account, and the second association can correspondingly express a referral relationship between a labor pointed to by the business association subject and a recipient pointed to by the target first account. The first characteristic parameter in this scenario can be understood as the average daily expenditure amount per person, which can be understood as the resource consumed by the recruiter. For the convenience of understanding, the recruitment scenario is described in detail below.
In one embodiment, as shown in fig. 3, the determining the first characteristic parameter includes:
s1, determining a current target triple according to the business association main body and the business association account, wherein the current target triple is composed of the business association main body, the business association account and a business mode.
According to the embodiment of the application, based on any target triple pointing to the vertical service scene in the service mode, the corresponding service resource can be determined. The target triple includes three fields of a service association body, a service association account, and a service mode, where the current target triple is a target triple in which a value of the service association body and a value of the service association account are respectively 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 triple is a target triple of the service resource to be determined in this embodiment.
And 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 or not, wherein the target historical data represent the historical consumption condition of the target first account in a preset time interval.
According to the method and the device, the business resources needed in the vertical business scene are predicted through the target historical data, and the business resources can be determined with clear objective basis according to the prediction of the target historical data, so that the finally determined business resources can be guaranteed to fully meet the consumption requirement of the first account, and meanwhile, the waste of the business resources is basically avoided.
Taking a recruitment scene as an example, the target historical data specifically represents the generated expenditure situation of the target first account in a preset time interval.
And S22, if the target history record exists, determining a first characteristic parameter according to the target history record and the service mode.
And S23, if the target historical record does not exist, delaying the preset time interval, and then repeatedly executing the service resource determining method in the vertical service scene.
The embodiment of the application considers that if the target history does not exist, a new business relationship is generated, for example, a new enterprise, a new labor service or a new business mode is introduced. Under the condition, the business resources are predicted inaccurately based on the historical consumption conditions corresponding to other business relations, so that the business resources are determined again after the preset time interval is delayed and enough target historical records are generated. During this time interval, the traffic resource may now be set to a certain preset value.
Specifically, in a case where the service mode points to a first service, the determining a first feature parameter according to the target history and the service mode includes: and determining implicit consumption resources according to the target historical records, and determining the implicit consumption resources as the first characteristic parameters.
Determining a first characteristic parameter according to the target history record and the service mode under the condition that the service mode points to a second service, comprising: and determining implicit consumption resources and explicit consumption resources according to the target historical records, and determining the comprehensive value of the implicit consumption resources and the explicit consumption resources as the first characteristic parameter.
In the 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. Implicitly consumed resources may be understood as resources that are not provided directly by the business and explicitly consumed resources may be understood as resources that are provided directly by the business. Still taking the recruitment scene as an example, the service parties are the recruiting party and the recruiting party, so that the service party does not need to participate in the configuration of the service resources in the first service, but the intermediate party independently configures the service resources, that is, the amount of money paid by the intermediate party per day by each of the recruiting parties is accounted in the intermediary fee received by the intermediate party, and therefore, the embodiment considers that the recruitment scene is a hidden consumption resource.
Still taking the recruiting scene as an example, in the second service, a part of service resources can be configured by the recruiter and the middle party respectively, that is, the daily expenditure amount of each person of the recruiter is paid by the middle party and the recruiter together, wherein the part paid by the middle party is accounted in the intermediary cost collected by the middle party to form a recessive consumption resource, and the part paid by the recruiter is a dominant consumption resource.
The calculation method of the implicit consumption resources and the explicit consumption resources is not limited in the embodiment of the application, and can be calculated according to the related financial statement exemplarily.
S1032, determining a second characteristic parameter, wherein the second characteristic parameter represents the average value of the consumption time of each target first account per month.
In a recruitment scenario, the second characteristic quantity may be understood as an average number of days of employment per person per month. In one embodiment, the second characteristic variable may be determined on the basis of the following formula: the average day of stay per month ═ i (total day of stay in 1 month/total number of people in 1 month + total day of stay in 2 months/total number of people in 2 months + … … + total day of stay in 12 months/total number of people in 12 months)/(number of months of stay 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 the recruitment scenario, the expected expenditure amount is the average expenditure amount per person per day, and the average number of days per person per month is active.
And S104, determining a target resource allocation risk parameter based on the resource allocation risk calculation method by taking the business-associated account as reference data.
The target resource allocation risk parameter is related to a specific business scenario, and for a vertical business scenario, as shown in fig. 4, the determining the target resource allocation risk parameter based on the resource allocation risk calculation method with the business-related account as reference data includes:
s1041, in the vertical service scene, determining a service constraint account corresponding to the service association account.
S1042, counting the total quantity of preset accounts, wherein the preset accounts represent first accounts which consume related services provided by each service constraint object in a preset time interval, and the service constraint objects are service associated accounts which belong to the service constraint accounts.
Still taking the recruitment scenario as an example, the labor director (the business constraint account) governs a plurality of labor services (the business associated accounts), and the first account associated with each labor service is a preset account, that is, the step S1042 counts the total number of the recruiters introduced by the plurality of labor services governed by the labor director.
S1043, determining a risk coefficient of the business constraint account according to the total amount of the first account.
Exemplarily, if the counted number is less than 1000 persons, determining the risk coefficient of the business constraint account to be 1; if the counted number is 1000-5000-; and 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 risk parameter configured for the target resource.
In the vertical business scenario, the responsibility of the labor administration can be assigned, that is, the risk coefficient of the business constraint account is determined as the value of the risk parameter configured for the target resource.
And S105, determining the service resources in the vertical service scene according to the target estimated expenditure resources and the target resource configuration risk parameters.
Specifically, the product of the target estimated expenditure resource and the target resource allocation risk parameter is determined as the value of the business resource.
The method for determining the service resources provided by the embodiment of the application can automatically determine the service resources, ensure that the service resources fully meet the requirements of service consumption, and basically does not generate extra resource waste.
In one embodiment, the business resources in the above-described vertical business scenario may be determined based on a batch mode. Specifically, a target triple of the service resource to be determined may be determined based on batch processing, and then the service resource corresponding to the target triple is determined. The target triple in the embodiment of the application is a service association subject, a service association account and a service mode. Specifically, an embodiment of the present application provides a target triplet determining method, where the method includes:
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 meet the time search condition and are used for recording attribute information related to the first account and the service.
In the embodiment of the present application, the first record table at least includes the following fields: the method comprises the steps of first account identification, a business association subject, a business association account, second account identification, creation time and updating time. The second account is used for managing orders related to the service, i.e. the second account identification can be understood as an order identification. In some scenarios, a new record may be generated based on the proactive action of the first account, the generation time of the new record appearing in the creation time field, and in other scenarios, an existing record may be updated based on the proactive action of the first account, the update appearing in the update time field.
For example, taking the time search condition as "one day", the records in the first record table whose created time or updated time is within the last day may be screened out to form the first data record table.
And S203, determining a second data record list according to the time search condition, wherein the second data record list is formed by second data records which meet the time search condition and are used for recording the service mode information.
In this embodiment, the second record table at least includes the following fields: the service association main body, the service association account, the second account identification, the service mode and the time interval. The embodiment of the present application does not limit the service mode, and the service mode may be various service modes, such as a service settlement mode, a service operation mode, and the like, and the service average consumption resource in the foregoing may be recorded in the service settlement mode.
And S204, acquiring a service mode configuration management table.
The service mode configuration management table at least comprises the following fields: the service configuration method comprises a service association main body, a service association account, a service mode and service configuration resources. The business association main body, the business association account and the business mode are a target triple.
S205, screening the second data record list based on the first data record list to obtain a target second data record list, wherein the second account identification in the target second data record list is hit by the record in the first data record list.
S206, for each record in the target second data record, extracting values of three fields of a service association main body, a service association account and a service mode to obtain a third data record list.
And S207, determining a target triple list based on the service mode configuration management table, wherein the target triple in the target triple is not hit by the service mode configuration management table and is hit by the third data record list.
Specifically, the method provided by the embodiment of the present application may be used to determine the corresponding service resource for each target triplet in the target triplet list, where each service mode points to the target triplet of the vertical service scene.
The embodiment of the present application further discloses a device for determining service resources in a vertical service scenario provided in the embodiment of the present application, as shown in fig. 5, the device includes:
and the service related data determining module 301 is configured to determine a service related subject and a service related account.
The policy obtaining module 302 is configured to determine a service resource allocation policy corresponding to a vertical service scenario, where the service resource allocation policy includes a calculation method for predicting paid resources and a calculation method for resource allocation risk.
And a target expected expenditure resource determining module 303, configured to determine a target expected expenditure resource based on the calculation method of the expected expenditure resource, with the business-related subject and the business-related account as reference data.
And a target resource allocation risk parameter determining module 304, configured to determine a target resource allocation risk parameter based on the resource allocation risk calculation method by using the business-related account as reference data.
A service resource determining module 305, configured to determine a service resource in the vertical service scenario according to the target expected expenditure resource and the target resource configuration risk parameter.
In one embodiment, the target resource configuration risk parameter determination module is configured to perform the following operations:
in the vertical service scene, determining a service constraint account corresponding to the service associated account;
counting the total number of preset accounts, wherein the preset accounts represent first accounts which consume related services provided by each service constraint object in a preset time interval, and the service constraint objects are service associated accounts which belong 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 risk parameter configured for the target resource.
In one embodiment, the target projected expense resource determination module is 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 that a first association relationship exists with the business association subject, and the target first account represents that a second association relationship exists with the business association account;
determining a second characteristic parameter, wherein the second characteristic parameter represents an average value of the consumption time of each target first account per month;
determining the product of the first characteristic parameter and the second characteristic parameter as the value of the predicted expenditure resource.
In one embodiment, the target projected expense resource determination module is further configured to:
determining a current target triple according to the service association main body and the service association account, wherein the current target triple is composed of the service association main body, 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 expense resource determination module is further configured to:
judging whether target historical data exist or not, wherein the target historical data represent the historical consumption condition 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 historical record does not exist, delaying the preset time interval and then repeatedly executing the service resource determining method in the vertical service scene.
In one embodiment, the target projected expense resource determination module is further configured to: under the condition that the service mode points to a first service, determining implicit consumption resources according to the target historical record, and determining the implicit consumption resources as the first characteristic parameters;
and under the condition that the service mode points to a second service, 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 business resource determining module is configured to determine a product of the target projected expense resource and the target resource configuration risk parameter as a value of the business resource.
Specifically, the embodiment of the present application discloses a service resource determining apparatus in a vertical service scenario and the corresponding method embodiments are all based on the same inventive concept. For details, please refer to the method embodiment, which is not 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 instruction from the computer-readable storage medium, and executes the computer instruction, so that the computer device executes the service resource determination method in the vertical service scenario.
Embodiments of the present application further provide a computer-readable storage medium, where the computer-readable storage medium may store a plurality of instructions. The instructions may be adapted to be loaded by a processor and execute the method for determining service resources in a vertical service scenario described in the embodiment of the present application.
The embodiment of the application provides electronic equipment, which comprises at least one processor and a memory, wherein the memory is 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 sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may 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 may also be possible or may be advantageous.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the device and server embodiments, since they are substantially similar to the method embodiments, the description is simple, and the relevant points can be referred to the partial description of the method embodiments.
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 instructing relevant hardware, and 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.
The above description is only a preferred embodiment of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present application should be included in the scope of the present application.
Claims (10)
1. A method for determining service resources in a vertical service scene, the method comprising:
determining a business association subject and a business association account;
determining a business resource allocation strategy corresponding to a vertical business scene, wherein the business 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 calculation method of the estimated expenditure resource by taking the business association subject and the business association account as reference data;
determining a target resource configuration risk parameter based on the resource configuration risk calculation method by taking the business-related account as reference data;
and determining the service resources in the vertical service scene according to the target estimated expenditure resources and the target resource configuration risk parameters.
2. The method of claim 1, wherein the determining a target resource allocation risk parameter based on the resource allocation risk calculation method by using the business-related account as reference data comprises:
in the vertical service scene, determining a service constraint account corresponding to the service associated account;
counting the total number of preset accounts, wherein the preset accounts represent first accounts which consume related services provided by each service constraint object in a preset time interval, and the service constraint objects are service associated accounts which belong 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 risk parameter configured for the target resource.
3. The method of claim 1, wherein determining a target projected expense resource based on the projected expense resource calculation method using the business-associated principal and the business-associated account as reference data comprises:
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 that a first association relationship exists with the business association subject, and the target first account represents that a second association relationship exists with the business association account;
determining a second characteristic parameter, wherein the second characteristic parameter represents an average value of the consumption time of each target first account per month;
determining the product of the first characteristic parameter and the second characteristic parameter as the value of the predicted expenditure resource.
4. The method of claim 3, wherein said determining a first characteristic quantity comprises:
determining a current target triple according to the service association main body and the service association account, wherein the current target triple is composed of the service association main body, the service association account and a service mode;
and determining the first characteristic parameter according to the service mode.
5. The method of claim 4, wherein said determining said first characteristic parameter based on said traffic pattern comprises:
judging whether target historical data exist or not, wherein the target historical data represent the historical consumption condition 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 historical record does not exist, delaying the preset time interval and then repeatedly executing the service resource determining method in the vertical service scene.
6. The method of claim 5, wherein:
in a case where the service mode points to a first service, the determining a first characteristic parameter according to the target history and the service mode includes: determining implicit consumption resources according to the target historical records, and determining the implicit consumption resources as the first characteristic parameters;
determining a first characteristic parameter according to the target history record and the service mode under the condition that the service mode points to a second service, comprising: and determining implicit consumption resources and explicit consumption resources according to the target historical records, and determining the comprehensive value of the implicit consumption resources and the explicit consumption resources as the first characteristic parameter.
7. The method of claim 1, said determining business resources in the vertical business scenario from the target projected expense resources and the target resource configuration risk parameters, comprising:
and determining the product of the target estimated expenditure resource and the target resource configuration risk parameter as the value of the business resource.
8. An apparatus for determining service resources in a vertical service scenario, the apparatus comprising:
the service related data determining module is used for determining a service related main body and a service related account;
the strategy acquisition module is used for determining a business resource allocation strategy corresponding to the vertical business scene, wherein the business resource allocation strategy comprises a calculation method for predicting expenditure resources and a calculation method for resource allocation risks;
the target estimated expenditure resource determining module is used for determining target estimated expenditure resources based on the 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 the resource allocation risk calculation method by taking the business-associated account as reference data;
and the service resource determining module is used for determining the service resources in the vertical service scene according to the target estimated expenditure resources and the target resource configuration risk parameters.
9. An electronic device, comprising a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded by the processor and executed to implement the method for determining service resources in a vertical service scenario according to any one of claims 1 to 7.
10. A computer-readable storage medium, in which at least one instruction or at least one program is stored, the at least one instruction or the at least one program being loaded and executed by a processor to implement the method for determining service resources in a vertical service scenario according to any one of claims 1 to 7.
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