CN110188990A - A kind of resource request and funds request shunt method, device and equipment - Google Patents
A kind of resource request and funds request shunt method, device and equipment Download PDFInfo
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Abstract
This application discloses a kind of resource requests and funds request shunt method, device and equipment.Method includes: firstly, acquiring specified one or more resource transfers service index of correlation of each resource provider；Then, index of correlation is serviced based on collected resource transfers, overall merit is carried out to each resource provider, to calculate the shunting weight of each resource provider；Weight is shunted finally, combining, the resource request of resources requesting party is distributed into corresponding resource provider.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, and a device for offloading a resource request and a fund request.
Background
The flow splitting means that a plurality of paths can be selected originally, and the paths are distributed to different paths according to a certain rule, so that the pressure of the paths to the same path is reduced.
In the offloading scheme for the resource request, the priority of each resource provider is generally specified manually, and the resource request of the resource requester is pushed to each resource provider based on the specified priority. Therefore, a more reliable resource request offloading scheme is needed.
Disclosure of Invention
The embodiment of the present specification provides a resource request offloading method, which is used for improving an offloading effect of a resource request.
An embodiment of the present specification further provides a resource request offloading method, including:
determining resource transfer service related indexes of at least two resource providers;
determining the distribution weight of the at least two resource providers based on the resource transfer service related index;
and allocating resource requests to the at least two resource providers based on the splitting weight.
An embodiment of the present specification further provides a fund request diversion method, including:
determining fund service related indexes of at least two fund institutions;
determining a diversion weight for the at least two funding institutions based on the funding service related indicator;
allocating fund requests to the at least two fund institutions based on the diversion weight.
An embodiment of the present specification further provides a resource request offloading device, including:
the determining module is used for determining resource transfer service related indexes of at least two resource providers;
the processing module is used for determining the distribution weight of the at least two resource providers based on the resource transfer service related indexes;
and the allocation module is used for allocating resource requests to the at least two resource providers based on the shunting weight.
An embodiment of the present specification further provides a fund request diversion device, including:
a determination module for determining fund service related indicators of at least two fund institutions;
the processing module is used for determining the distribution weight of the at least two fund institutions based on the fund service related indexes;
and the allocation module is used for allocating fund requests to the at least two fund institutions based on the diversion weight.
An embodiment of the present specification further provides an electronic device, including:
a processor; and
a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the steps of the method as described above.
Embodiments of the present specification also provide a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the method as described above.
The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects:
the method comprises the steps of collecting one or more pre-specified resource transfer service related indexes of each resource provider, using the indexes as a basis for comprehensively evaluating each resource provider, calculating the shunting weight of each resource provider, and distributing resource requests for each resource provider based on the shunting weight. Compared with the existing scheme of artificially assigning the allocation priority of each resource provider, the method can avoid artificial subjective influence, comprehensively evaluate the shunting weight of each resource provider from multiple dimensions, and further effectively improve the shunting effect of the resource request.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic diagram of an application scenario provided in the present specification;
fig. 2 is a flowchart illustrating a resource request offloading method according to an embodiment of the present disclosure;
FIG. 3 is a flowchart illustrating a resource allocation procedure according to an embodiment of the present disclosure;
fig. 4 is a schematic flow chart of a fund request diversion method according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a resource request offloading device according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a fund request diversion device according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of an electronic device according to another embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clear, the technical solutions of the present application will be clearly and completely described below with reference to the specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Taking a fund borrowing scheme as an example, as stated in the background section, generally, the loan priority of each fund institution is manually specified, and then the loan request of the user is pushed according to the loan priority, which usually causes the problem that the fund institution with the highest priority monopolizes the loan transaction. Based on the above, the invention provides a resource request distribution method, which is characterized in that one or more resource transfer service related indexes of each resource provider are collected to comprehensively evaluate each resource provider, the distribution weight of each resource provider is calculated, and the resource request of the resource requester is distributed according to the distribution weight, so that the monopoly problem of money release business caused by artificially assigning priorities is avoided, and the distribution effect is improved.
The resource request party is a party initiating a resource request to obtain resources; the resource provider is a party for receiving the resource request and providing the resource; resources include, but are not limited to: multimedia files (such as video files, audio files, dynamic pictures and the like), character messages, account amounts, virtual articles, resource exchange codes and the like, but for the convenience of understanding and description, the capital is taken as an example hereinafter.
An application scenario of the present invention is exemplarily illustrated with reference to fig. 1.
The application scene comprises the following steps: a resource provider set 101, a resource transfer platform 102 and a resource requester set 103; wherein,
the resource requester set 103 is a set of resource requesters, and is used for initiating a resource request to the resource transfer platform 102 to request to obtain a target resource through renting, merchant loan and other manners;
the resource provider set 101 is a set of resource providers, wherein each resource provider is in data docking with the resource transfer platform 102 to allow the resource transfer platform 102 to view the state thereof and allocate a resource request thereto;
the resource transfer platform 102 is used for configuring resource transfer related parameters for each resource provider and determining the latest state of the resource transfer related parameters based on the change of the resource transfer related parameters; the resource request is assigned to the target resource provider based on the latest status of the respective resource provider to provide the target resource by the target resource.
The resource requester is a user who initiates a resource request to request target resources, or terminal equipment used by the user; the resource provider is a user providing the target resource or a terminal device used by the user; the resource transfer related parameters include at least: available resource limit, resource request allocation priority, etc.; accordingly, the status of the resource provider includes at least: whether the available resource amount is 0, etc.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 2 is a flowchart illustrating a resource request offloading method according to an embodiment of the present disclosure, where the method may be executed by the resource transfer platform 102 in fig. 1, and referring to fig. 2, the method may specifically include the following steps:
step 202, determining resource transfer service related indexes of at least two resource providers;
the resource transfer service related index refers to an index that can affect a resource transfer service of a resource provider, and includes: at least one of a resource transfer service fee, a resource transfer success rate, a resource transfer error rate, and a resource transfer wind control score; the resource transfer service charge refers to the service charge provided by a resource provider to a resource transfer platform, the resource transfer error rate refers to the probability of error occurrence of resource transfer under the influence of factors such as a network and a physical environment, and the resource transfer wind control score refers to the score of a wind control mechanism of the resource provider.
It will be appreciated that to ensure objectivity and accuracy of the evaluation of the resource provider, the method further includes, at step 202: an index setting step and an index collecting step; wherein,
the index setting step may specifically be exemplified by:
firstly, resource transfer services which are completed by a resource transfer platform in history are collected and analyzed, so as to extract influence indexes of the resource transfer services, such as: resource providers who often fail to transfer resources have a low success rate of transferring resources.
And secondly, determining indexes such as income, wind control and the like required by the resource transfer platform.
And thirdly, selectively combining with expert experience, optimizing the indexes determined in the previous two steps to screen out/adjust the indexes with smaller influence or add some indexes which are not considered, and further constructing the relevant indexes of the resource transfer service. For example: in consideration of the current market occupation stage, beneficial indexes can be screened out; considering that the resource request amount in a certain time period is larger, the importance of the resource transfer efficiency index of the resource provider can be reduced.
Correspondingly, the index collection step may specifically be exemplified as:
example 1, for an index that can be directly obtained for a resource transfer service fee, etc., it can be directly extracted from a data source such as a resource provider, platform data, etc.
Example 2, for indexes that need to be obtained by a simple processor, such as a resource transfer success rate and a resource transfer error rate, historical resource transfer data of each resource provider can be collected, and statistical analysis and other processing are performed on the historical resource transfer data to obtain the resource transfer success rate, the resource transfer error rate, and the like.
Example 3, for indexes such as resource transfer wind control scores and the like which can be obtained by a party needing a complex evaluation rule, a wind control mechanism of a resource provider can be obtained, key wind control features in the wind control mechanism are extracted, the resource provider is scored based on the key wind control features and a scoring rule of a resource transfer platform, and resource transfer wind control scores of the resource provider are obtained.
The wind control mechanism refers to a series of measures pre-configured by a resource provider for avoiding resource transfer abnormality, for example: setting standby resources for avoiding insufficient resources and the like; the key wind control characteristics may refer to some preset risk control indexes, such as: the number of spare resources.
In addition, in view of that the resource transfer environment is not constant, in order to ensure the effectiveness of the resource transfer related indicator, this embodiment further provides a step of dynamically adjusting the resource transfer related indicator, where the step may specifically be:
determining environmental characteristic information of a resource transfer environment, wherein the environmental characteristic information is used for representing the influence of the resource transfer environment on resource transfer; and adjusting the relevant index of the resource transfer service based on the environmental characteristic information.
Wherein, the environment characteristic information of the resource transfer environment includes but is not limited to: resource transfer risk characteristics, resource transfer success rate, resource transfer income and the like.
Taking the resource transfer risk characteristic as an example, if it is detected that the resource transfer service is suddenly attacked by a hacker and the risk resistance needs to be improved, the indexes of service security score, wind control score and the like of the resource provider are added into the relevant indexes of the resource transfer.
Taking resource transfer benefit as an example, if the strategy of the resource transfer platform changes from market preemption to profit mode, the benefit indexes such as resource transfer service fee, management fee and the like are added into the relevant indexes of resource transfer.
It is understood that, for other resource transfer environment changes caused by the outside, the resource transfer platform, both resource transfer parties, and the like, and even caused by the physical environment, the example can flexibly adjust the relevant indexes of the resource transfer service, which are not listed one by one here.
In addition, it should be noted that, in order to ensure the reliability of resource transfer, at least two resource providers here may be good resource providers after being screened; specific resource provider screening steps may be exemplified by:
step S1, acquiring the latest resource state and the historical resource transfer data of the optional resource provider;
the optional resource provider generally refers to a resource provider in a cooperative relationship with the resource transfer platform; the latest resource state includes, but is not limited to: can provide resource amount, lever, pledge and the like; history resource transfer data includes, but is not limited to: historical resource transfer success rate, historical resource transfer error rate, and the like.
And step S2, screening the selectable resource providers based on the latest resource state and the historical resource transfer data to obtain the at least two resource providers. One implementation of this may be:
and quantizing each feature in the step S1, inputting the quantized feature into a preset evaluation model to obtain an evaluation value corresponding to each selectable resource provider, and selecting a preset number (for example, 3) of resource providers with the front evaluation value from the selectable resource providers to generate the at least two resource providers.
Step 204, determining the distribution weight of the at least two resource providers based on the resource transfer service related indexes;
the offloading weight is used to represent a priority of each resource provider in the resource request offloading process, and generally, the higher the offloading weight is, the higher the priority is.
It should be noted that, the first implementation manner of step 204 may be:
step S1', determining the weight coefficient corresponding to each index in the resource transfer service related indexes; specific examples thereof may be:
determining a coefficient calculation mode corresponding to each index in the resource transfer service related indexes; and determining the weight coefficient corresponding to each index based on the coefficient calculation mode corresponding to each index.
Namely, the implementation method distinguishes the influence of each index on the resource transfer by configuring different coefficient calculation modes for different types of indexes respectively so as to further ensure the accuracy of evaluation. Specific examples may be as follows:
the coefficient calculation mode corresponding to the resource transfer service charge can be a linear function, namely, the resource transfer service charge is in direct proportion to the weight coefficient; the coefficient calculation mode corresponding to the resource transfer success rate can be a quadratic function; the calculation mode of the coefficient corresponding to the resource transfer error rate can be an inverse proportional function, namely, the resource transfer error rate is in inverse proportion to the weight coefficient; the coefficient calculation mode corresponding to the resource transfer wind control score may be a point set, for example: if the resource provider has a wind control mechanism, the weight coefficient is 1, and if the resource provider does not have the wind control mechanism, the weight coefficient is 0.
It should be understood that the coefficient calculation method corresponding to each index may be flexibly configured according to the requirements of the resource transfer platform, the resource provider, and the resource transfer environment, which is not limited herein.
And step S2', determining the distribution weight of the at least two resource providers based on the weight coefficient corresponding to each index. Specific examples thereof may be:
assume that at least two resource providers include: the first resource provider and the second resource provider calculate the weight coefficients corresponding to the indexes of the first resource provider based on the coefficient calculation mode corresponding to the indexes, and the weight coefficients are respectively as follows: 0.2, 0.6, 0.8 and 1, wherein the weight coefficients corresponding to the indexes of the second resource provider are respectively as follows: 0.6, 0.8, 0.4, 0.8.
Then, the first resource provider and the second resource provider can be comprehensively evaluated based on the weight coefficient corresponding to each index and a preset scoring rule to obtain a score of each resource provider, and the score is used as a distribution weight.
Further, in order to distinguish the influence of each index on resource request offloading to ensure offloading accuracy, this example further introduces a concept of a weight value corresponding to the index, and accordingly, a specific scoring rule thereof may be specifically exemplified as:
determining a weight value corresponding to each index in the relevant indexes of the resource transfer service; and determining the shunting weight of the at least two resource providers based on the weight value and the weight coefficient corresponding to each index.
The sum of the weight values corresponding to the indicators is a fixed value (generally, 1 or 100), and the weight value corresponding to each indicator may be preset based on historical experience and latest platform requirements.
Assuming that the weight value corresponding to the resource transfer service fee is 40, the weight value corresponding to the resource transfer success rate is 30, the weight value corresponding to the resource transfer error rate is 20, and the weight value corresponding to the resource transfer pneumatic control score is 10, the shunting weight corresponding to the first resource provider is: (0.2 × 40+0.6 × 30+0.8 × 20+1 × 10)/100 ═ 52%, and similarly, the second resource provider corresponds to a splitting weight of: (0.6 × 40+0.8 × 30+0.4 × 20+0.8 × 10)/100 ═ 64%.
It is understood that different indexes can be collected for different resource providers, and even weight values with different weight values corresponding to the indexes of other resource providers can be set, which is not repeated herein as the case may be.
And 206, distributing resource requests to the at least two resource providers based on the shunting weight. Referring to fig. 3, one implementation may be:
step 302, determining the total amount of resources expected to be requested by a target resource requester group;
the total resource amount refers to the total amount of resources required to be requested in the period of the target resource requester group estimated in advance by the resource transfer platform. Specific examples can be:
the resource transfer platform acquires resource transfer data in the latest time period so as to determine the total amount of resources requested by the resource requester group in each period in the time period; evaluating the total amount of resources requested by the resource requester group in the period based on the total amount of resources corresponding to each period in the period; specifically, the total amount of resources corresponding to each period may be weighted and averaged to evaluate the total amount of resources corresponding to the period.
Step 304, determining resource limits of the at least two resource providers based on the shunting weight and the total amount of resources; one implementation may be:
and dividing the total amount of the resources based on the proportion between the shunting weights corresponding to the resource providers in the at least two resource providers to obtain the resource limit of each resource provider. Specific examples can be:
assuming a total amount of resources a, the at least two resource providers include: the first resource provider and the second resource provider calculate that the offloading weights corresponding to the first resource provider and the second resource provider are 52% and 64%, respectively, based on the step 204, and then a of 52/(52+64) is taken as the resource limit of the first resource provider, and a of 64/(52+64) is taken as the resource limit of the second resource provider.
Step 306, allocating resource requests for the at least two resource providers based on the resource quota. One implementation may be:
determining distribution priorities corresponding to the at least two resource providers based on the distribution weights; allocating the resource request of the resource requester to the target resource provider based on the allocation priority and the distribution weight;
and the target resource provider distributes a resource provider with the highest priority and resource quota among the at least two resource providers.
The implementation manner may specifically be exemplified as follows:
since the offload weight (64%) of the second resource provider is greater than the offload weight (52%) of the first resource provider, the allocation priority configured for the second provider is greater than the allocation priority of the first resource provider; then, when a resource request initiated by a certain resource provider is received, the resource request is preferentially distributed to a second resource provider, and when the resource quota of the second resource provider is used up, the subsequent resource request is distributed to the first resource provider.
In addition, for a resource requester with a larger resource quota, in order to avoid the problem of lower resource request distribution accuracy due to a larger resource quota corresponding to a certain resource request, another implementation manner of step 304 may be:
evaluating the total amount of resources requested by the target resource requester in the period; determining resource limits of the at least two resource providers based on the offloading weight and the total amount of resources; determining distribution priorities corresponding to the at least two resource providers based on the distribution weights; allocating the resource request of the resource requester to the target resource provider based on the allocation priority and the distribution weight; and the target resource provider distributes a resource provider with the highest priority and resource quota among the at least two resource providers.
As can be seen, in the embodiment, the shunting weight of each resource provider is calculated by collecting one or more pre-specified resource transfer service related indexes of each resource provider and using the indexes as a basis for performing comprehensive evaluation on each resource provider, so as to allocate a resource request to each resource provider based on the shunting weight. Compared with the existing scheme of artificially assigning the allocation priority of each resource provider, the method can avoid artificial subjective influence, comprehensively evaluate the shunting weight of each resource provider from multiple dimensions, and further effectively improve the shunting effect of the resource request.
Fig. 4 is a flowchart illustrating a borrowing request offloading method according to another embodiment of the present disclosure, where the method may be executed by the resource transfer platform 102 in fig. 1, and referring to fig. 4, the method may specifically include the following steps:
step 402, determining fund service related indexes of at least two fund institutions;
wherein, the fund institution refers to banks, securities and the like which provide fund for borrowers; funding service related indicators include, but are not limited to: at least one of a payout service fee, a payout success rate, a payout error rate, and a payout pneumatic control score.
It should be noted that, to ensure the validity of the index, before executing step 402, the embodiment further includes: index optimization step, which may specifically be:
determining environmental characteristic information of a fund transfer environment, wherein the environmental characteristic information is used for representing the influence of the fund transfer environment on fund transfer; adjusting the funds-transfer service related indicator based on the environmental characteristic information.
In addition, to ensure the reliability of the fund institution, before executing step 402, the present embodiment further includes: the step of screening the capital organization specifically comprises the following steps:
acquiring the latest fund state and historical fund transfer data of the selectable fund institution; and screening the selectable fund institutions based on the latest fund state and the historical fund transfer data to obtain the at least two fund institutions.
Step 404, determining the diversion weight of the at least two fund institutions based on the fund service related index; one implementation may be:
step S1', determining the weight coefficient corresponding to each index in the relevant indexes of the fund transfer service; specific examples thereof may be:
determining a coefficient calculation mode corresponding to each index in the relevant indexes of the fund transfer service; and determining the weight coefficient corresponding to each index based on the coefficient calculation mode corresponding to each index.
Step S2', determining the distribution weight of the at least two capital mechanisms based on the weight coefficient corresponding to each index. Specific examples thereof may be:
firstly, determining a weight value corresponding to each index in the relevant indexes of the fund transfer service; then, based on the weight value and the weight coefficient corresponding to each index, the distribution weight of the at least two fund institutions is determined.
The weight value corresponding to each index may be set manually.
Step 406, allocating fund requests to the at least two fund institutions based on the diversion weight. One implementation may be:
step S1', estimating the total fund amount requested by the target fund requesting party group;
step S2', determining the fund amount of the at least two fund mechanisms based on the diversion weight and the fund total amount;
step S3', allocating fund requests for the at least two fund institutions based on the fund limit. Specific examples thereof may be:
determining distribution priorities corresponding to the at least two fund institutions based on the diversion weights; allocating a fund request of a fund requester to a target fund mechanism based on the allocation priority and the distribution weight; and the target fund institution is a fund institution which has the highest priority and has fund limit and is allocated to the at least two fund institutions.
It can be seen that, in the embodiment, the shunting weight of each capital organization is calculated by collecting one or more pre-specified capital service related indexes of each capital organization and taking the indexes as a basis for carrying out comprehensive evaluation on each capital organization, and then a capital request is distributed to each capital organization based on the shunting weight. Compared with the existing scheme of artificially assigning the allocation priority of each capital organization, the method can avoid artificial subjective influence, comprehensively evaluate the shunting weight of each capital organization from multiple dimensions, and further effectively improve the capital request shunting effect.
In addition, for simplicity of description, the above method embodiments are described as a series of acts or combinations, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts or actions, as some steps may be performed in other orders or simultaneously according to the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Fig. 5 is a schematic structural diagram of a resource request offloading device provided in an embodiment of the present specification, and referring to fig. 5, the device may specifically include: a determination module 502, a processing module 504, and an assignment module 506, wherein:
a determining module 502, configured to determine resource transfer service related indicators of at least two resource providers;
a processing module 504, configured to determine, based on the resource transfer service related indicator, offloading weights of the at least two resource providers;
an allocating module 506, configured to allocate resource requests to the at least two resource providers based on the offloading weight.
Optionally, the resource transfer service related indicator includes: at least one of a resource transfer service fee, a resource transfer success rate, a resource transfer error rate, and a resource transfer wind control score.
Optionally, the processing module 504 is specifically configured to:
determining a weight coefficient corresponding to each index in the resource transfer service related indexes; and determining the distribution weight of the at least two resource providers based on the weight coefficient corresponding to each index.
Optionally, the processing module 504 is specifically configured to:
determining a coefficient calculation mode corresponding to each index in the resource transfer service related indexes; and determining the weight coefficient corresponding to each index based on the coefficient calculation mode corresponding to each index.
Optionally, the apparatus further comprises:
the first preprocessing module is used for determining a weight value corresponding to each index in the relevant indexes of the resource transfer service;
the processing module 504 is specifically configured to:
and determining the shunting weight of the at least two resource providers based on the weight value and the weight coefficient corresponding to each index.
Optionally, the apparatus further comprises:
the index adjusting module is used for determining environmental characteristic information of a resource transfer environment, wherein the environmental characteristic information is used for representing the influence of the resource transfer environment on resource transfer; adjusting the resource transfer service related indicator based on the environmental characteristic information.
Optionally, the apparatus further comprises:
the second preprocessing module is used for acquiring the latest resource state and the historical resource transfer data of the optional resource provider; and screening the selectable resource providers based on the latest resource state and the historical resource transfer data to obtain the at least two resource providers.
Optionally, the allocating module 506 is specifically configured to:
evaluating the total amount of resources requested by the target resource requester group; determining resource limits of the at least two resource providers based on the shunting weight and the total amount of resources; and allocating resource requests for the at least two resource providers based on the resource quota.
Optionally, the allocating module 506 is specifically configured to:
determining distribution priorities corresponding to the at least two resource providers based on the distribution weights; allocating the resource request of the resource requester to the target resource provider based on the allocation priority and the distribution weight;
and the target resource provider distributes a resource provider with the highest priority and resource quota among the at least two resource providers.
As can be seen, in the embodiment, the shunting weight of each resource provider is calculated by collecting one or more pre-specified resource transfer service related indexes of each resource provider and using the indexes as a basis for performing comprehensive evaluation on each resource provider, so as to allocate a resource request to each resource provider based on the shunting weight. Compared with the existing scheme of artificially assigning the allocation priority of each resource provider, the method can avoid artificial subjective influence, comprehensively evaluate the shunting weight of each resource provider from multiple dimensions, and further effectively improve the shunting effect of the resource request.
Fig. 6 is a schematic structural diagram of a fund request diversion device according to an embodiment of the present specification, and referring to fig. 6, the device may specifically include: a determination module 602, a processing module 604, and an assignment module 606, wherein:
a determination module 602 for determining funding service related indicators for at least two funding institutions;
a processing module 604, configured to determine a diversion weight of the at least two funding institutions based on the funding service related indicator;
an allocating module 606, configured to allocate fund requests to the at least two fund institutions based on the diversion weight.
Optionally, the fund service related indicator includes but is not limited to: at least one of a payout service fee, a payout success rate, a payout error rate, and a payout pneumatic control score.
Optionally, the apparatus further comprises:
the system comprises an index adjusting module, a fund transfer module and a fund transfer module, wherein the index adjusting module is used for determining environmental characteristic information of a fund transfer environment, and the environmental characteristic information is used for representing the influence of the fund transfer environment on fund transfer; adjusting the funds-transfer service related indicator based on the environmental characteristic information.
Optionally, the apparatus further comprises:
the mechanism screening module is used for acquiring the latest fund state and the historical fund transfer data of the selectable fund mechanism; and screening the selectable fund institutions based on the latest fund state and the historical fund transfer data to obtain the at least two fund institutions.
Optionally, the processing module 604 is specifically configured to:
determining a weight coefficient corresponding to each index in the relevant indexes of the fund transfer service; and determining the distribution weight of the at least two fund institutions based on the weight coefficient corresponding to each index.
Optionally, the processing module 604 is specifically configured to:
determining a coefficient calculation mode corresponding to each index in the relevant indexes of the fund transfer service; and determining the weight coefficient corresponding to each index based on the coefficient calculation mode corresponding to each index.
Optionally, the processing module 604 is specifically configured to:
determining a weight value corresponding to each index in the relevant indexes of the fund transfer service; and determining the distribution weight of the at least two fund institutions based on the weight value and the weight coefficient corresponding to each index.
Optionally, the allocating module 606 is specifically configured to:
evaluating a total amount of funds requested by the group of target fund requesters; determining the fund amount of the at least two fund institutions based on the diversion weight and the fund total; allocating fund requests for the at least two funding institutions based on the fund amount.
Optionally, the allocating module 606 is specifically configured to:
determining distribution priorities corresponding to the at least two fund institutions based on the diversion weights; allocating a fund request of a fund requester to a target fund mechanism based on the allocation priority and the distribution weight; and the target fund institution is a fund institution which has the highest priority and has fund limit and is allocated to the at least two fund institutions.
It can be seen that, in the embodiment, the shunting weight of each capital organization is calculated by collecting one or more pre-specified capital service related indexes of each capital organization and taking the indexes as a basis for carrying out comprehensive evaluation on each capital organization, and then a capital request is distributed to each capital organization based on the shunting weight. Compared with the existing scheme of artificially assigning the allocation priority of each capital organization, the method can avoid artificial subjective influence, comprehensively evaluate the shunting weight of each capital organization from multiple dimensions, and further effectively improve the capital request shunting effect.
In addition, as for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant points can be referred to the partial description of the method embodiment. It should be noted that, in the respective components of the apparatus of the present invention, the components therein are logically divided according to the functions to be implemented thereof, but the present invention is not limited thereto, and the respective components may be re-divided or combined as necessary.
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, referring to fig. 7, the electronic device includes a processor, an internal bus, a network interface, a memory, a non-volatile memory, and possibly hardware required for other services. The processor reads the corresponding computer program from the nonvolatile memory to the memory and then runs the computer program to form the resource request shunting device on the logic level. Of course, besides the software implementation, the present application does not exclude other implementations, such as a combination of logic devices or software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or logic devices.
The network interface, the processor and the memory may be interconnected by a bus system. The bus may be an ISA (Industry Standard Architecture) bus, a PCI (peripheral component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 7, but this does not indicate only one bus or one type of bus.
The memory is used for storing programs. In particular, the program may include program code including computer operating instructions. The memory may include both read-only memory and random access memory, and provides instructions and data to the processor. The Memory may include a Random-Access Memory (RAM) and may also include a non-volatile Memory (e.g., at least 1 disk Memory).
The processor is used for executing the program stored in the memory and specifically executing:
determining resource transfer service related indexes of at least two resource providers;
determining the distribution weight of the at least two resource providers based on the resource transfer service related index;
and allocating resource requests to the at least two resource providers based on the splitting weight.
The method executed by the resource request forking apparatus or the Master node according to the embodiment shown in fig. 5 of the present application can be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in a processor. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, among other storage media that are well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The resource request offloading device may also perform the methods of fig. 2-3 and implement the methods performed by the administrator node.
Based on the same invention creation, the embodiment of the present application further provides a computer readable storage medium, where the computer readable storage medium stores one or more programs, and when the one or more programs are executed by an electronic device including a plurality of application programs, the electronic device is caused to execute the resource request splitting method provided by the corresponding embodiment of fig. 2 to 3.
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, and referring to fig. 8, the electronic device includes a processor, an internal bus, a network interface, a memory, a non-volatile memory, and possibly hardware required by other services. The processor reads a corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the fund request shunting device on a logic level. Of course, besides the software implementation, the present application does not exclude other implementations, such as a combination of logic devices or software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or logic devices.
The network interface, the processor and the memory may be interconnected by a bus system. The bus may be an ISA (Industry Standard Architecture) bus, a PCI (peripheral component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 8, but that does not indicate only one bus or one type of bus.
The memory is used for storing programs. In particular, the program may include program code including computer operating instructions. The memory may include both read-only memory and random access memory, and provides instructions and data to the processor. The Memory may include a Random-Access Memory (RAM) and may also include a non-volatile Memory (e.g., at least 1 disk Memory).
The processor is used for executing the program stored in the memory and specifically executing:
determining fund service related indexes of at least two fund institutions;
determining a diversion weight for the at least two funding institutions based on the funding service related indicator;
allocating fund requests to the at least two fund institutions based on the diversion weight.
The method performed by the fund request diversion apparatus or manager (Master) node according to the embodiment of fig. 6 of the present application may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in a processor. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, among other storage media that are well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The fund request diversion device may also perform the method of fig. 4 and implement the method performed by the administrator node.
Based on the same invention creation, the embodiment of the present application further provides a computer readable storage medium storing one or more programs, which when executed by an electronic device including a plurality of application programs, cause the electronic device to execute the fund request diversion method provided by the embodiment corresponding to fig. 4.
The embodiments in the present description are described in a progressive manner, and similar parts between the embodiments are referred to each other, and each embodiment focuses on different points from other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The foregoing description has been directed to specific embodiments of this disclosure. 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.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (14)
1. A resource request shunting method comprises the following steps:
determining resource transfer service related indexes of at least two resource providers;
determining the distribution weight of the at least two resource providers based on the resource transfer service related index;
and allocating resource requests to the at least two resource providers based on the splitting weight.
2. The method of claim 1, the resource transfer service related metrics comprising: at least one of a resource transfer service fee, a resource transfer success rate, a resource transfer error rate, and a resource transfer wind control score.
3. The method of claim 2, wherein determining offload weights for the at least two resource providers based on the resource transfer service-related metrics comprises:
determining a weight coefficient corresponding to each index in the resource transfer service related indexes;
and determining the distribution weight of the at least two resource providers based on the weight coefficient corresponding to each index.
4. The method of claim 3, wherein the determining a weighting factor corresponding to each of the resource transfer service related metrics comprises:
determining a coefficient calculation mode corresponding to each index in the resource transfer service related indexes;
and determining the weight coefficient corresponding to each index based on the coefficient calculation mode corresponding to each index.
5. The method of claim 3, further comprising:
determining a weight value corresponding to each index in the relevant indexes of the resource transfer service;
wherein, the determining the splitting weight of the at least two resource providers based on the weight coefficient corresponding to each index includes:
and determining the shunting weight of the at least two resource providers based on the weight value and the weight coefficient corresponding to each index.
6. The method of claim 1, further comprising:
determining environmental characteristic information of a resource transfer environment, wherein the environmental characteristic information is used for representing the influence of the resource transfer environment on resource transfer;
and adjusting the relevant index of the resource transfer service based on the environmental characteristic information.
7. The method of claim 1, further comprising:
acquiring the latest resource state and historical resource transfer data of an optional resource provider;
and screening the selectable resource providers based on the latest resource state and the historical resource transfer data to obtain the at least two resource providers.
8. The method of claim 1, the allocating resource requests for the at least two resource providers based on the offload weights comprising:
evaluating the total amount of resources requested by the target resource requester group;
determining resource limits of the at least two resource providers based on the shunting weight and the total amount of resources;
and allocating resource requests for the at least two resource providers based on the resource quota.
9. The method of claim 1, the allocating resource requests for the at least two resource providers based on the resource quota, comprising:
determining distribution priorities corresponding to the at least two resource providers based on the distribution weights;
allocating the resource request of the resource requester to the target resource provider based on the allocation priority and the distribution weight;
and the target resource provider distributes a resource provider with the highest priority and resource quota among the at least two resource providers.
10. A funding request diversion method, comprising:
determining fund service related indexes of at least two fund institutions;
determining a diversion weight for the at least two funding institutions based on the funding service related indicator;
allocating fund requests to the at least two fund institutions based on the diversion weight.
11. A resource request offloading device, comprising:
the determining module is used for determining resource transfer service related indexes of at least two resource providers;
the processing module is used for determining the distribution weight of the at least two resource providers based on the resource transfer service related indexes;
and the allocation module is used for allocating resource requests to the at least two resource providers based on the shunting weight.
12. A request for funds offload device, comprising:
a determination module for determining fund service related indicators of at least two fund institutions;
the processing module is used for determining the distribution weight of the at least two fund institutions based on the fund service related indexes;
and the allocation module is used for allocating fund requests to the at least two fund institutions based on the shunting weight.
13. An electronic device, comprising:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to perform the steps of the method of any of claims 1 to 10.
14. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 10.
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