Target parameter determination method and related device
By mining the association relationship of outbound call task goals and determining appropriate target parameters, the problem of poor allocation of outbound call task in remote bank operations is solved, and more efficient task allocation is achieved.
Patent Information
- Application Number
- CN202411739059.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-29
- Publication Date
- 2025-02-25
AI Technical Summary
In remote banking operations, due to the arbitrary determination of target parameters during out-of-call tasks, the task allocation effect is poor, and the efficiency expectation of the agent's seat to complete the task is not met, and even the situation where it is impossible to find a suitable assignment task.
By mining the association relationships of multiple outbound call task targets, obtaining the outbound call task target set, initialization strategy set and optimization algorithm set, forming multiple triplets, each triplet includes an outbound call task target, a task allocation algorithm and an allocation adjustment algorithm. Based on these triplets, the outbound call task correlation degree is calculated, and the target parameters of the current outbound call task are determined.
By determining appropriate target parameters, the allocation effect of outbound call tasks is improved, task allocation difficulties caused by task goals with little correlation are avoided, and more efficient task allocation is achieved.
Smart Images
Figure CN119515004A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of computer technology, and in particular to a target parameter determination method and related devices. Background Art
[0002] In remote banking operations, outbound call tasks need to be assigned to each agent. When assigning tasks, there are often multiple goals, such as the highest daily marketing amount, the shortest working hours, and the priority completion of important customer orders. Since the target parameters are currently determined arbitrarily, the task allocation effect is not good. After executing the assigned tasks, the expected efficiency of the agent to complete the task cannot be achieved, and even the situation where a suitable assigned task cannot be found. Therefore, it is very necessary to determine the target parameters when assigning outbound call tasks. Summary of the invention
[0003] In view of the above problems, the present application provides a method and a related device for determining target parameters, which achieves the purpose of adapting outbound call tasks by mining the target association relationship of multiple outbound call tasks. The specific scheme is as follows:
[0004] The first aspect of the present application provides a method for determining a target parameter, comprising:
[0005] Obtaining an outbound call task target set, an initialization strategy set, and an optimization algorithm set; wherein the outbound call task target set includes multiple outbound call task targets, the initialization strategy set includes multiple task allocation algorithms, and the optimization algorithm set includes multiple allocation adjustment algorithms;
[0006] Selecting a set element from the outbound call task target set, the initialization strategy set, and the optimization algorithm set respectively to combine them to obtain a plurality of triples; wherein each triple includes an outbound call task target, a task allocation algorithm, and an allocation adjustment algorithm;
[0007] Based on the triplet, the current outbound call task is allocated to obtain a task allocation result;
[0008] Combine the task allocation results corresponding to the same outbound call task target to obtain a data sequence;
[0009] Calculate the correlation of the data sequences corresponding to two different outbound call task targets to obtain the outbound call task target correlation;
[0010] The target parameter of the current outbound call task is determined based on the outbound call task target relevance.
[0011] In a possible implementation, allocating the current outbound call task based on the triplet to obtain the task allocation result includes:
[0012] Allocate the current outbound call task based on the task allocation algorithm in the triplet to obtain an initialized task allocation result;
[0013] The outbound call task target in the triplet is used as the optimization target, and the initialized task allocation result is allocated and adjusted based on the allocation adjustment algorithm in the triplet to obtain the task allocation result.
[0014] In a possible implementation, allocating the current outbound call task based on the task allocation algorithm in the triplet to obtain an initialized task allocation result includes:
[0015] Obtain the number of agents, the types of tasks handled by the agents, and the expected efficiency of the agents in handling tasks;
[0016] Establishing an agent outbound call model based on the number of agents, the task type and the expected efficiency value;
[0017] Based on the allocation adjustment algorithm in the triplet, the current outbound call task is allocated to the agent outbound call model to obtain the initialized task allocation result.
[0018] In a possible implementation, calculating the correlation between the data sequences corresponding to the two different outbound call task targets to obtain the outbound call task target correlation includes:
[0019] The grey absolute correlation degree is calculated for the data sequences corresponding to two different outbound call task targets to obtain the outbound call task target correlation degree.
[0020] In a possible implementation, determining the target parameter of the current outbound call task based on the outbound call task target relevance includes:
[0021] The two outbound call task targets whose correlation degree of the outbound call task targets is greater than a threshold are determined as target parameters of the current outbound call task.
[0022] In a possible implementation, the determining the target parameter of the current outbound call task based on the outbound call task target relevance further includes:
[0023] Weight allocation is performed on the two outbound call task targets whose correlation degree is less than the threshold, or the two outbound call task targets whose correlation degree is less than the threshold are replaced.
[0024] A second aspect of the present application provides a target parameter determination system, comprising:
[0025] A data acquisition module, used to acquire an outbound call task target set, an initialization strategy set, and an optimization algorithm set; wherein the outbound call task target set includes multiple outbound call task targets, the initialization strategy set includes multiple task allocation algorithms, and the optimization algorithm set includes multiple allocation adjustment algorithms;
[0026] A combination module, used to select a set element from the outbound call task target set, the initialization strategy set, and the optimization algorithm set to combine and obtain a plurality of triples; wherein each triple includes an outbound call task target, a task allocation algorithm, and an allocation adjustment algorithm;
[0027] A task allocation module, used to allocate the current outbound call task based on the triplet to obtain a task allocation result;
[0028] A data sequence generation module is used to combine the task allocation results corresponding to the same outbound call task target to obtain a data sequence;
[0029] A correlation calculation module is used to calculate the correlation of data sequences corresponding to two different outbound call task targets to obtain the correlation of the outbound call task targets;
[0030] The target parameter determination module is used to determine the target parameter of the current outbound call task based on the outbound call task target relevance.
[0031] A third aspect of the present application provides a computer program product, including computer-readable instructions. When the computer-readable instructions are executed on an electronic device, the electronic device implements the target parameter determination method of the first aspect or any implementation of the first aspect.
[0032] A fourth aspect of the present application provides an electronic device, comprising at least one processor and a memory connected to the processor, wherein:
[0033] The memory is used to store computer programs;
[0034] The processor is used to execute the computer program so that the electronic device can implement the target parameter determination method of the above-mentioned first aspect or any implementation manner of the first aspect.
[0035] A fifth aspect of the present application provides a computer storage medium, which carries one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can determine the target parameters of the method according to the first aspect or any implementation of the first aspect.
[0036] By means of the above technical scheme, the target parameter determination method and related devices provided by the present application respectively select a set element from the outbound call task target set, the initialization strategy set, and the optimization algorithm set to combine and obtain multiple triplets; based on the triplets, the current outbound call task is assigned to obtain a task assignment result; the task assignment results corresponding to the same outbound call task target are combined to obtain a data sequence; the correlation degree of the data sequences corresponding to two different outbound call task targets is calculated to obtain the outbound call task target correlation degree; the target parameters of the current outbound call task are determined based on the outbound call task target correlation degree. The present application determines the target parameters of the current outbound call task by mining the correlation relationship between multiple outbound call task targets. Based on the target parameters, the task assignment effect can be improved, and the problem of not being able to find a suitable assigned task by using a task target with a low correlation as a target parameter is avoided. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.
[0038] Figure 1 A flow chart of a target parameter determination method provided in this application;
[0039] Figure 2 A structure diagram of a target parameter determination system provided in this application;
[0040] Figure 3 A schematic diagram of the structure of an electronic device provided in this application. DETAILED DESCRIPTION
[0041] The following describes the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. The terms used in the implementation method section of the present application are only used to explain the specific embodiments of the present application, and are not intended to limit the present application.
[0042] The embodiments of the present application are described below in conjunction with the accompanying drawings. Those skilled in the art will appreciate that, with the development of technology and the emergence of new scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.
[0043] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and need not be used to describe a specific order or sequential order. It should be understood that the terms used in this way can be interchangeable under appropriate circumstances, which is only to describe the distinction mode adopted by the objects of the same attributes when describing in the embodiments of the present application. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, so that the process, method, system, product or equipment comprising a series of units need not be limited to those units, but may include other units that are not clearly listed or inherent to these processes, methods, products or equipment.
[0044] The embodiment of the present application provides a method for determining target parameters. The method for determining target parameters of the embodiment of the present application is described in detail below with reference to the accompanying drawings.
[0045] Reference Figure 1 , Figure 1 A process diagram of a target parameter determination method provided in an embodiment of the present application is shown as follows: Figure 1 As shown, a target parameter determination method provided in an embodiment of the present application may include steps 101 to 106, and these steps are described in detail below.
[0046] Step 101: Obtain an outbound call task target set, an initialization strategy set, and an optimization algorithm set; wherein the outbound call task target set includes multiple outbound call task targets, the initialization strategy set includes multiple task allocation algorithms, and the optimization algorithm set includes multiple allocation adjustment algorithms.
[0047] In remote banking operations, outbound call tasks need to be assigned to each agent. After receiving the assigned outbound call task, each agent will call the user and perform the outbound call task-related content. When assigning tasks, there are often multiple outbound call task targets, including but not limited to the highest marketing amount, the shortest working time, and priority completion of important customer orders. The outbound call task target is the target expected by the decision maker during the outbound call process on the day.
[0048] Outbound call tasks include customer information. Outbound call tasks can include daily added outbound call tasks, or they can include previous remaining outbound call tasks.
[0049] The task allocation algorithms for the initialization strategy set include but are not limited to the first fit algorithm (FirstFit algorithm) and the best fit algorithm (BestFit algorithm).
[0050] The allocation adjustment algorithms of the optimization algorithm set include but are not limited to the Late Acceptance Hill Climbing (LAHC) algorithm and the Great Deluge Algorithm (GDA) algorithm.
[0051] Step 102: Select a set element from the outbound call task target set, the initialization strategy set, and the optimization algorithm set respectively to combine and obtain multiple triples; wherein each triple includes an outbound call task target, a task allocation algorithm, and an allocation adjustment algorithm.
[0052] The elements of the outbound call task target set include the highest marketing amount, the shortest working time, and the priority completion of important customer orders; the elements of the initialization strategy set include the first adaptation algorithm and the best adaptation algorithm; the elements of the optimization algorithm set include the hill climbing algorithm and the flood algorithm. The elements of the three sets are combined in the form of permutations and combinations to obtain triplets. The number of triplets is , M is the sum of the set elements of the three sets.
[0053] Step 103: Based on the triplet, the current outbound call task is allocated to obtain a task allocation result.
[0054] In a possible implementation, the current outbound call task is allocated based on the triplet to obtain a task allocation result, including:
[0055] Allocate the current outbound call task based on the task allocation algorithm in the triplet to obtain the initialized task allocation result;
[0056] Taking the outbound call task target in the triplet as the optimization target, the initial task allocation result is allocated and adjusted based on the allocation adjustment algorithm in the triplet to obtain the task allocation result.
[0057] When allocating the current outbound call task based on the task allocation algorithm in the triplet, if the task allocation algorithm used is the first adaptation algorithm, the outbound call tasks will be allocated to the agents in sequence. If the task allocation algorithm used is the best adaptation algorithm, the outbound call task will be allocated to the agent with the highest work efficiency first, thereby obtaining the initialized task allocation result.
[0058] The outbound call task target in the triplet is used as the optimization target to generate the target evaluation function. The number of outbound call task targets in the outbound call task target set will generate several target evaluation functions. The outbound call task target in the triplet is used as the optimization target of the allocation adjustment algorithm in the triplet. The allocation adjustment algorithm is used to adjust the initial task allocation result to obtain the task allocation result.
[0059] Optionally, the current outbound call task is allocated based on the task allocation algorithm in the triplet to obtain an initialized task allocation result, including:
[0060] Obtain the number of agents, the types of tasks handled by the agents, and the expected efficiency of the agents in handling tasks;
[0061] Establish an agent outbound call model based on the number of agents, task types, and efficiency expectations;
[0062] Based on the allocation adjustment algorithm in the triplet, the current outbound call task is allocated to the agent outbound call model to obtain the initialized task allocation result.
[0063] After obtaining the task allocation result, the task allocation result may be stored.
[0064] Step 104: Combine the task allocation results corresponding to the same outbound call task target to obtain a data sequence.
[0065] The task assignment results corresponding to the same outbound call task target are combined to obtain a data sequence, and the number of data sequences is equal to the number of outbound call task targets. The task assignment results with the same outbound call task target are grouped into one data sequence, namely:
[0066] F i (k)={f i1 (k),f i2 (k),f i3 (k),f i4 (k),......,f iN (k)}
[0067] Among them, F i (k) is the task allocation result obtained by performing the kth iteration based on the allocation adjustment algorithm with the i-th outbound call task target as the optimization target, and f i1 -f iN is the task allocation result obtained by using the allocation adjustment algorithm, i is the i-th outbound call task target, N is the number of combinations of the allocation adjustment algorithm and the allocation adjustment algorithm, , P is the sum of the number of allocation adjustment algorithms in the initialization strategy set and the number of allocation adjustment algorithms in the optimization algorithm set.
[0068] Step 105: Calculate the correlation between the data sequences corresponding to two different outbound call task targets to obtain the outbound call task target correlation.
[0069] In a possible implementation, the correlation degree of the data sequences corresponding to two different outbound call task targets is calculated to obtain the outbound call task target correlation degree, including:
[0070] The grey absolute correlation degree is calculated for the data sequences corresponding to two different outbound call task targets to obtain the outbound call task target correlation degree.
[0071] When calculating the grey absolute correlation degree of the data series corresponding to two different outbound call task targets, i (k) and F j (k) Perform zeroing:
[0072] G i (k)={f i1 -f i1 ,f i2 -f i1 ,f i3 -f i1 ,f i4 -f i1 ,......,f iN -f i1}={0,g i2 ,g i3 ,g i4 ,......,g iN} (i=1,2,3...,N)
[0073] G j (k)={f j1 -f j1 ,f j2 -f j1 ,f j3 -f j1 ,f j4 -f j1 ,......,f jN -f j1}={0,g j2 ,g j3 ,g j4 ,......,g jN} (j=1,2,3...,N)
[0074] Among them, j is the jth outbound call task target.
[0075] Then the grey absolute correlation degree is calculated:
[0076]
[0077] in,
[0078]
[0079]
[0080]
[0081] In the formula, is the correlation degree of outbound call task targets, that is, the grey absolute correlation degree between the i-th target and the j-th target.
[0082] After the outbound call task target relevance is obtained, the outbound call task target relevance may be stored.
[0083] The number of the outbound call task target correlation degrees is multiple, and an outbound call task target correlation degree matrix can be formed.
[0084] Step 106: Determine the target parameters of the current outbound call task based on the outbound call task target relevance.
[0085] In a possible implementation, determining the target parameters of the current outbound call task based on the outbound call task target relevance includes:
[0086] The two outbound call task targets whose outbound call task target correlation is greater than a threshold are determined as target parameters of the current outbound call task.
[0087] Outbound call task target relevance µ ij If it is less than the threshold, it means that there is a contradiction between the two outbound call task targets. ij The two outbound call task targets greater than the threshold are determined as the target parameters of the current outbound call task. Using the target parameters of the current outbound call task for optimization can improve the task allocation effect and avoid the problem of not being able to find a suitable allocation task by using task targets with little correlation as target parameters.
[0088] In a possible implementation, determining the target parameter of the current outbound call task based on the outbound call task target relevance further includes:
[0089] Weights are allocated to two outbound call task targets whose outbound call task target correlation is less than a threshold, or two outbound call task targets whose outbound call task target correlation is less than a threshold are replaced.
[0090] If the outbound call task target correlation is less than the threshold, it means that the two outbound call task targets are contradictory. If the two contradictory outbound call task targets are used in the task allocation optimization process, the two outbound call task targets can be weighted, with one outbound call task target being assigned a larger weight, such as a weight of 0.8, and the other outbound call task target being assigned a smaller weight, such as a weight of 0.2. Alternatively, the contradictory targets can be replaced, and then step 102 can be re-executed.
[0091] The present application provides a method for determining a target parameter, which selects a set element from an outbound call task target set, an initialization strategy set, and an optimization algorithm set, respectively, and combines them to obtain multiple triplets, each of which includes an outbound call task target, a task allocation algorithm, and an allocation adjustment algorithm; then, based on the triplets, the current outbound call task is allocated to obtain a task allocation result; the task allocation results corresponding to the same outbound call task target are combined to obtain a data sequence; the correlation degree of the data sequences corresponding to two different outbound call task targets is calculated to obtain the outbound call task target correlation degree; the target parameter of the current outbound call task is determined based on the outbound call task target correlation degree, and the target parameter of the current outbound call task is determined by mining the correlation relationship between multiple outbound call task targets. Based on the target parameter, the task allocation effect can be improved to avoid the problem of using a task target with a low correlation as a target parameter and being unable to find a suitable assigned task.
[0092] A target parameter determination method provided in an embodiment of the present application is introduced above, and a system for executing the target parameter determination method will be introduced below.
[0093] See also Figure 2 , Figure 2 This is a schematic diagram of the structure of a target parameter determination system provided in an embodiment of the present application. Figure 2 As shown, the target parameter determination system includes:
[0094] The data acquisition module 201 is used to obtain an outbound call task target set, an initialization strategy set, and an optimization algorithm set; wherein the outbound call task target set includes multiple outbound call task targets, the initialization strategy set includes multiple task allocation algorithms, and the optimization algorithm set includes multiple allocation adjustment algorithms.
[0095] The combination module 202 is used to select a set element from the outbound call task target set, the initialization strategy set, and the optimization algorithm set to combine and obtain multiple triples; wherein each triple includes an outbound call task target, a task allocation algorithm, and an allocation adjustment algorithm.
[0096] The task allocation module 203 is used to allocate the current outbound call task based on the triples to obtain the task allocation result.
[0097] The data sequence generation module 204 is used to combine the task allocation results corresponding to the same outbound call task target to obtain a data sequence.
[0098] The correlation calculation module 205 is used to calculate the correlation between the data sequences corresponding to two different outbound call task targets to obtain the outbound call task target correlation.
[0099] The target parameter determination module 206 is used to determine the target parameters of the current outbound call task based on the outbound call task target relevance.
[0100] The task allocation module 203 is specifically used for:
[0101] Allocate the current outbound call task based on the task allocation algorithm in the triplet to obtain the initialized task allocation result;
[0102] Taking the outbound call task target in the triplet as the optimization target, the initial task allocation result is allocated and adjusted based on the allocation adjustment algorithm in the triplet to obtain the task allocation result.
[0103] The task allocation module 203 is further used for:
[0104] Obtain the number of agents, the types of tasks handled by the agents, and the expected efficiency of the agents in handling tasks;
[0105] Establish an agent outbound call model based on the number of agents, task types, and efficiency expectations;
[0106] Based on the allocation adjustment algorithm in the triplet, the current outbound call task is allocated to the agent outbound call model to obtain the initialized task allocation result.
[0107] The correlation calculation module 205 is specifically used for:
[0108] The grey absolute correlation degree is calculated for the data sequences corresponding to two different outbound call task targets to obtain the outbound call task target correlation degree.
[0109] The target parameter determination module 206 is specifically used for:
[0110] The two outbound call task targets whose outbound call task target correlation is greater than a threshold are determined as target parameters of the current outbound call task.
[0111] The target parameter determination module 206 is further used for:
[0112] Weights are allocated to two outbound call task targets whose outbound call task target correlation is less than a threshold, or two outbound call task targets whose outbound call task target correlation is less than a threshold are replaced.
[0113] The present application also provides an electronic device in an embodiment. Figure 3 As shown, it shows a schematic diagram of the structure of an electronic device suitable for implementing the embodiment of the present application. The electronic device in the embodiment of the present application may include but is not limited to fixed terminals such as mobile phones, laptops, PDAs (personal digital assistants), PADs (tablet computers), desktop computers, etc. Figure 3The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.
[0114] like Figure 3 As shown, the electronic device may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 to a random access memory (RAM) 303. When the electronic device is powered on, various programs and data required for the operation of the electronic device are also stored in the RAM 303. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.
[0115] Typically, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a memory card, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 An electronic device having various devices is shown, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.
[0116] An embodiment of the present application also provides a computer program product including computer-readable instructions. When the computer-readable instructions are executed on an electronic device, the electronic device implements any target parameter determination method provided in the embodiment of the present application.
[0117] A computer-readable storage medium is also provided in an embodiment of the present application. The storage medium carries one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement any target parameter determination method provided in the embodiment of the present application.
[0118] It should also be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the device embodiments provided by the present application, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines.
[0119] Through the description of the above implementation mode, the technicians in the field can clearly understand that the present application can be implemented by means of software plus necessary general hardware, and of course, it can also be implemented by special hardware including special integrated circuits, special CPUs, special memories, special components, etc. In general, all functions completed by computer programs can be easily implemented by corresponding hardware, and the specific hardware structure used to implement the same function can also be various, such as analog circuits, digital circuits or special circuits. However, for the present application, software program implementation is a better implementation mode in more cases. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a readable storage medium, such as a computer floppy disk, a U disk, a mobile hard disk, a ROM, a RAM, a disk or an optical disk, etc., including a number of instructions to enable a computer device (which can be a personal computer, a training device, or a network device, etc.) to execute the methods described in each embodiment of the present application.
[0120] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a computer program product.
[0121] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website site, a computer, a training device, or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, training device, or data center. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a training device, a data center, etc. that includes one or more available media integrations. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)), etc.
Claims
1. A method for determining a target parameter, characterized in that: include: Obtaining an outbound call task target set, an initialization strategy set, and an optimization algorithm set; wherein the outbound call task target set includes multiple outbound call task targets, the initialization strategy set includes multiple task allocation algorithms, and the optimization algorithm set includes multiple allocation adjustment algorithms; Selecting a set element from the outbound call task target set, the initialization strategy set, and the optimization algorithm set respectively to combine them to obtain a plurality of triples; wherein each triple includes an outbound call task target, a task allocation algorithm, and an allocation adjustment algorithm; Based on the triplet, the current outbound call task is allocated to obtain a task allocation result; Combine the task allocation results corresponding to the same outbound call task target to obtain a data sequence; Calculate the correlation of the data sequences corresponding to two different outbound call task targets to obtain the outbound call task target correlation; The target parameter of the current outbound call task is determined based on the outbound call task target relevance.
2. The target parameter determination method according to claim 1, characterized in that: The current outbound call task is allocated based on the triplet to obtain a task allocation result, including: Allocate the current outbound call task based on the task allocation algorithm in the triplet to obtain an initialized task allocation result; The outbound call task target in the triplet is used as the optimization target, and the initialized task allocation result is allocated and adjusted based on the allocation adjustment algorithm in the triplet to obtain the task allocation result.
3. The target parameter determination method according to claim 2, characterized in that: The step of allocating the current outbound call task based on the task allocation algorithm in the triplet to obtain an initialized task allocation result includes: Obtain the number of agents, the types of tasks handled by the agents, and the expected efficiency of the agents in handling tasks; Establishing an agent outbound call model based on the number of agents, the task type and the expected efficiency value; Based on the allocation adjustment algorithm in the triplet, the current outbound call task is allocated to the agent outbound call model to obtain the initialized task allocation result.
4. The target parameter determination method according to any one of claims 1 to 3, characterized in that: The calculation of the correlation between the data sequences corresponding to the two different outbound call task targets to obtain the outbound call task target correlation includes: The grey absolute correlation degree is calculated for the data sequences corresponding to two different outbound call task targets to obtain the outbound call task target correlation degree.
5. The target parameter determination method according to any one of claims 1 to 3, characterized in that: The determining the target parameter of the current outbound call task based on the outbound call task target relevance includes: The two outbound call task targets whose correlation degree of the outbound call task targets is greater than a threshold are determined as target parameters of the current outbound call task.
6. The target parameter determination method according to claim 5, characterized in that: The determining the target parameter of the current outbound call task based on the outbound call task target correlation degree also includes: Weight allocation is performed on the two outbound call task targets whose correlation degree is less than the threshold, or the two outbound call task targets whose correlation degree is less than the threshold are replaced.
7. A target parameter determination system, characterized in that: include: A data acquisition module, used to acquire an outbound call task target set, an initialization strategy set, and an optimization algorithm set; wherein the outbound call task target set includes multiple outbound call task targets, the initialization strategy set includes multiple task allocation algorithms, and the optimization algorithm set includes multiple allocation adjustment algorithms; A combination module, used to select a set element from the outbound call task target set, the initialization strategy set, and the optimization algorithm set to combine and obtain a plurality of triples; wherein each triple includes an outbound call task target, a task allocation algorithm, and an allocation adjustment algorithm; A task allocation module, used to allocate the current outbound call task based on the triplet to obtain a task allocation result; A data sequence generation module is used to combine the task allocation results corresponding to the same outbound call task target to obtain a data sequence; A correlation calculation module is used to calculate the correlation of data sequences corresponding to two different outbound call task targets to obtain the correlation of the outbound call task targets; The target parameter determination module is used to determine the target parameter of the current outbound call task based on the outbound call task target relevance.
8. A computer program product, characterized in that It comprises computer-readable instructions, and when the computer-readable instructions are executed on an electronic device, the electronic device implements the target parameter determination method as claimed in any one of claims 1 to 6.
9. An electronic device, characterized in that: The method comprises at least one processor and a memory connected to the processor, wherein: The memory is used to store computer programs; The processor is used to execute the computer program so that the electronic device can implement the target parameter determination method as described in any one of claims 1 to 6.
10. A computer storage medium, characterized in that: The storage medium carries one or more computer programs, and when the one or more computer programs are executed by an electronic device, the electronic device can implement the target parameter determination method as described in any one of claims 1 to 6.