WO2019024492A1

WO2019024492A1 - List allocation method for agent system, readable storage medium, server, and device

Info

Publication number: WO2019024492A1
Application number: PCT/CN2018/077243
Authority: WO
Inventors: 任龙伟; 朱乔亚; 王刚
Original assignee: 平安科技（深圳）有限公司
Priority date: 2017-07-31
Filing date: 2018-02-26
Publication date: 2019-02-07
Also published as: CN107784425A

Abstract

Disclosed is a list allocation method for an agent system, for use in resolving the problem of being difficult to update entry rules of a list pool in a timely manner. The method provided by the present application comprises: determining a target list to be allocated, each target list comprising at least one list attribute; matching the target list with different rule combinations of the agent system to obtain a rule combination matching the target list; each rule combination having a correspondence with a list pool; each rule combination comprising at least one rule item; if the list attribute of the target list meets requirements of all rule items in one rule combination, the target list being matched with the rule combination; and allocating the target list to a target list pool, the target list pool being a list pool corresponding to the rule combination matching the target list. The present application also provides a storage medium and a server.

Description

Method for distributing list of agent systems, readable storage medium, server and device

This application claims the priority of the Chinese patent application filed on July 31, 2017, the Chinese Patent Office, the application number is CN201710642032.5, and the invention name is "the distribution method of the agent system, storage medium and server". The citations are incorporated herein by reference.

Technical field

The present application relates to the field of information processing technologies, and in particular, to a method for assigning a list of agents, a computer readable storage medium, a server, and a device.

Background technique

In the agent system, the list refers to the task that the agent needs to follow up. At present, the pool entry rules of each list pool are fixedly set in advance by code. However, with the rapid iteration and update of the business products, the pooling rules corresponding to each list pool also need to be adjusted accordingly. When adjusting, you need to modify the configuration code of these pooling rules, which often consumes a lot of labor costs and time costs, and it is difficult to update the pooling rules in time.

technical problem

The embodiment of the present invention provides a method for assigning a list of the agent system, a computer readable storage medium, a server, and a device, which are used to solve the problem that the pool entry rule of the list pool is difficult to update in time.

Technical solution

In a first aspect, a method for assigning a list of agent systems is provided, including:

Determining a list of targets to be assigned, each target list including at least one list attribute;

Matching the target list with each rule combination on the agent system to obtain a rule combination matching the target list; each rule combination has a correspondence with a list pool; each rule combination includes at least one rule If the list attribute of the target list satisfies the requirements of all rule items in a rule combination, the target list matches the one rule combination;

Assigning the target list to the target list pool, where the target list pool refers to a list pool corresponding to the rule combination matching the target list;

Each rule combination on the agent system is pre-configured by the following steps:

Obtaining each rule item preset on the agent system;

Selecting more than one rule item from the respective rule items;

Combining the selected one or more rule items into a new rule combination;

Establishing a correspondence between the new rule combination and a list pool of the agent system.

In a second aspect, a computer readable storage medium is stored, the computer readable storage medium storing computer readable instructions, the step of implementing the list allocation method of the agent system described above when executed by a processor .

In a third aspect, a server is provided, comprising a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, the processor implementing the computer readable instructions The steps of the above method for assigning a list of agent systems.

In a fourth aspect, a list distribution device for a seat system is provided, which may include various modules of the steps of the list allocation method of the agent system described above.

Beneficial effect

In the embodiment of the present application, a large amount of labor cost and time cost can be saved, and the update efficiency of the rule combination of the list pool is improved, so that the pool entry rule of the list pool is updated rapidly following the iteration of the service product.

DRAWINGS

1 is a flowchart of an embodiment of a method for allocating a list of a seat system according to an embodiment of the present application;

2 is a schematic flowchart of pre-configuring a rule combination in an application scenario in a method for assigning a list of a seat system according to an embodiment of the present application;

3 is a schematic flowchart of determining whether a new rule combination overlaps with an existing rule combination in the corresponding embodiment of FIG. 2;

FIG. 4 is a schematic flowchart of step 102 of a method for assigning a list of a seat system in an application scenario according to an embodiment of the present application;

FIG. 5 is a structural diagram of an embodiment of a list distribution device of a seating system according to an embodiment of the present application; FIG.

FIG. 6 is a schematic diagram of a server according to an embodiment of the present application.

Embodiments of the invention

Referring to FIG. 1 , an embodiment of a method for allocating a list of agents in the embodiment of the present application includes:

101. Determine a target list to be allocated, and each target list includes at least one list attribute;

102. Match the target list with each rule combination on the agent system to obtain a rule combination that matches the target list; each rule combination has a correspondence with a list pool; each rule combination includes at least a rule item, if the list attribute of the target list satisfies the requirements of all rule items in a rule combination, the target list matches the one rule combination;

103. The target list is allocated to the target list pool, where the target list pool refers to a list pool corresponding to the rule combination that matches the target list.

In step 101, in this embodiment, after the upstream system collects the respective lists, the lists are assigned to the agent system, and the lists are the target lists to be allocated before the allocation. For the agent system, there can be multiple upstream systems. For example, the sales system collects a list of users' breakpoints in order to dig out potential sales customers. The breakpoint list refers to the data that the user performs browsing and other related operations on the website of the sales system, and the transaction is not completed. For example, on the auto insurance sales website, the owner wants to know the auto insurance quotation, enters the name, license plate, mobile phone and other information on the auto insurance sales website for quotation, but does not carry out subsequent insurance operation. The sales system collects similar data, called a breakpoint list, and then provides these breakpoint lists to the agent system for distribution and follow-up to facilitate the users in the breakpoint list to complete the purchase or transaction.

It should be noted that a target list can contain one, two or more list attributes. These list attributes may be personal information of the user, related operational information or business information. For example, in the application scenario of the auto insurance sales website, if a target list is a breakpoint list, the list attribute may be a phone number, a license plate number, a frame number, an engine number, a quoted price, an insured, a renewal or a new one. Car insurance.

The above telephone number, license plate number, frame number, and engine number are the contact information and vehicle related information entered by the user on the auto insurance sales website. The above-mentioned "quoted" attribute means that when the user operates on the vehicle sales website, the vehicle sales website has provided the quotation information of a certain automobile insurance according to the operation of the user, for example, the quotation page of the automobile insurance A is displayed. The above-mentioned "insured" list attribute means that the user has completed at least one insurance on the vehicle sales website. Since such users are regarded as "old customers", the list of "insured" is viewed. Do the key attribute information. The above-mentioned "renewal" list attribute refers to the user's renewed related operation on the vehicle sales website or browsed the related page of renewal. The above-mentioned "new car insurance type" list attribute refers to the user browsing the new auto insurance type on the auto insurance sales website. For example, the user has already insured or has visited the auto insurance B. When the user subsequently browses the auto insurance C on the auto insurance sales website, , the list of breakpoints generated this time has the list attribute of “new car insurance”.

It should be noted that after obtaining the list assigned by the upstream system, the agent system may perform preliminary verification on the lists according to the corresponding business rules, such as whether the blacklist is verified, whether the format requirements are not met, and the verification is passed. These lists are then identified as a list of targets to be assigned.

For the step 102, it should be noted that, in this embodiment, one rule combination corresponds to one list pool, and one list pool may correspond to one, two or more different rule combinations. Each rule combination contains at least one rule item. The rule item is the minimum unit or the minimum unit for setting the pool entry rule in the agent system. For example, a rule combination may include three rule items: a breakpoint scenario, a client category, and a migration channel. The data structures of the three rule items are similar. The following is an example of a breakpoint scenario:

The Breakpoint Scenario rule item can contain the following configuration properties:

Rule configuration ID: primary key, the system automatically generates a unique identifier;

Combination ID: breakpoint scenario, customer category, migration channel, three rule items have the same unique combination ID, forming a rule combination;

Rule Combination ID: A unique identifier for a combination of rules;

ID_GROUP: The unique identifier of the rule pool corresponding to the rule pool;

Configuration item field: applyProduct (mark of related business products);

Configuration item name: breakpoint scene;

Description of configuration item value: Account opening has not been downloaded;

Configuration item value code: 1;

Comparison character: =

The above-mentioned "opening of the account is not downloaded" means that the user has completed the account opening operation in the breakpoint scenario, but the service product (for example, the APP application) is not downloaded. The above-mentioned "breakpoint scenario" rule item is used to request or limit which part of the operation the user interrupts the transaction, such as the above-mentioned "opening account not downloaded" link node. The above-mentioned "customer category" rule item is used to require or limit the preset classification of the relevant business product to the user, for example, may include "unilateral one-type household", "unilateral second-class household", "bilateral card customer", etc. For this, the relevant administrators can set according to the actual situation. The above “migration channel” rules are used to request or limit the source and channel of the list. For example, if a list comes from a car insurance sales website, the migration channel is “auto insurance sales”; if a list comes from mobile finance APP, Then its migration channel is “financial management”, and so on.

It can be seen that the data structure of each rule item and the content of the configuration attribute can be associated with the rule combination and the list pool, and the combination of each rule item can be combined to make the setting of the pool entry rule more flexible. Convenience, improve the update efficiency of the pool entry rules.

Further, as shown in FIG. 2, each rule combination on the agent system can be pre-configured by the following steps:

201. Acquire each rule item preset on the agent system;

202. Select one or more rule items from the respective rule items.

203. Combine the selected one or more rule items into a new rule combination;

204. Establish a correspondence between the new rule combination and a list pool of the agent system.

For step 201, it can be understood that each rule item can be preset in the agent system, such as setting according to the data structure of the rule item described in the above content. These preset rule items are set for the agent system. The smallest unit of the pool rule.

For steps 202 and 203, one, two or more rule items are selected from the respective rule items, and then the selected rule items are combined into a new rule combination. For example, rule item A, rule item B, and rule item C are selected first, and then rule items A, B, and C are combined into a new rule combination. In step 202, the rule items can be manually selected by the administrator of the agent system to combine the appropriate rule combinations according to actual situations.

For the step 204, after the new combination rule is obtained, the correspondence between the new rule combination and a list pool of the agent system needs to be established, wherein the selection of the list pool and the new rule combination is performed, and It is determined by the administrator of the agent system according to the actual situation, which is not limited in this embodiment.

Further, as shown in FIG. 3, before step 204, the method may further include:

301. Obtain all existing rule combinations on the agent system;

302, determining whether there is an overlap between the new rule combination and any one of the existing rule combinations, and if yes, executing step 303; if not, executing step 204;

303. Delete the new rule combination.

For the above steps 301-303, it can be understood that since one target list can only be assigned to one list pool, if one target list matches more than two list pools at the same time, the same target list is assigned to two. The above list of pools eventually led to the situation where more than two agents followed the same target list. This not only wastes the resources of the agent, but when more than two agents follow the same target list, the same user will be contacted by the two agents, which may easily cause disturbance or even harassment to the user and reduce the service of the agent to the agent. Satisfaction. Therefore, it is necessary to ensure that a target list is only assigned to a list pool, which requires that the pooling rules corresponding to different list pools, that is, the requirements between the rule combinations cannot overlap. Simply put, there can be no duplication, intersection, inclusion, etc. between any two different combinations of rules.

In step 302, the new rule combination may be compared with all the existing rule combinations one by one to determine whether there is an overlap with the requirements of a certain rule combination list, and if so, the new rule combination pair list There is an overlap between the required range and a certain rule combination, and the new rule combination is unqualified, so step 303 is executed to delete it. On the other hand, if there is no overlap between the requirement range of the new rule combination and any existing rule combination, it means that the new rule combination is qualified, and step 204 can be performed to establish a correspondence between it and a list pool. .

In particular, it can be known that if each rule item on the agent system is designed, there is no overlap between the range of rule items, that is, each rule item is independent, and there is no repetition, intersection, or inclusion. If there is a relationship between the two rule combinations, it is only necessary to judge whether the two rule combinations respectively contain different rule items. For example, the rule combination A contains the rule item a1, the rule combination B does not include the rule item a1, and the rule combination B contains the rule item b1, and the rule combination A does not include the rule item b1, then the rule combination A and the rule combination B can be determined. There is no overlap in scope between them.

Further, as shown in FIG. 4, the foregoing step 102 may include:

401. Select a rule combination that is not matched from the combination of the rules as a current rule combination.

402, determining whether the list attribute of the target list meets the requirements of all the rule items in the current rule combination, and if not, returning to step 401, and if yes, executing step 403;

403. Determine the current rule combination as a rule combination that matches the target list.

For the above steps 401 to 403, when the matching process is performed, the target list is matched with each rule combination one by one. The matching process is to determine whether the list attribute of the target list satisfies the requirements of all rule items in a certain rule combination, and if not, Then, the next rule combination is continued to match; if it is satisfied, the matching process ends, and the current rule combination is determined to be a rule combination matching the target list.

Further, the foregoing step 401 may be specifically: selecting, from the respective rule combinations, a combination of rules that are not matched according to a combination order as the current rule combination. The order of the combination may be set by: periodically counting the number of lists in which each of the rule combinations is successfully matched within a preset duration; and according to each of the rules, the number of corresponding lists is from the most to the less The rule combinations are sorted to obtain the combined order. It can be understood that when there are a large number of rule combinations on the agent system, if each target list is matched, it is necessary to match the target list with most rule combinations on the agent system to find a match with the target list. The combination of rules, which easily reduces the efficiency of the target list allocation, and consumes a large amount of computing resources of the system. Therefore, in this embodiment, the combination order of each rule combination can be set. When the target list is matched, the matching is performed according to the combination order, which can improve the efficiency of the target list allocation and reduce the computing resource consumption of the system.

The detailed description is as follows: the agent system can periodically count the number of lists in which each rule combination is successfully matched within a preset duration, such as monthly, weekly, or daily statistics. The preset duration may be the most recent month, the most recent week, or the most recent. within 24 hours. It can be seen that the number of these lists reflects the "hotness" or practicability of each rule combination in the process of pooling the list. The more the number of lists, the more popular and practical the corresponding rule combinations are. On the contrary, the fewer the number of lists , indicating that the corresponding rule combination is more unpopular and the lower the practicability. For example, suppose the rule combination A matches 1000 lists successfully within one month, the rule combination B matches 100 lists in a month, and the rule combination C matches 10 lists in one month. It can be known that in the last month, the practicability of the rule combination A is greater than the rule combination B, and the practicability of the rule combination B is greater than the rule combination C. Therefore, when a target list K to be assigned is matched, the target list K The probability of matching these three rule combinations is: probability of rule combination A > probability of rule combination B > probability of rule combination C. Therefore, when matching, matching in the order of A, B, and C, the rule combination matching the target list K can be obtained more efficiently. Therefore, after the number of lists corresponding to each rule combination is obtained by statistics, each of the rule combinations is sorted according to the number of corresponding lists of each of the rule combinations, and the combination order is obtained.

Preferably, the agent system may also delete a combination of rules in which the number of consecutively matching lists in the respective rule combinations is 0, or issue relevant alarms to the management personnel, and the management personnel manually delete the rules. It can be understood that with the iteration and update of the business product, some combinations of rules in each rule combination on the agent system are no longer applicable, so there will be no combination of one, two or more rules for a long period of time. A successful matching list, such as a list of rules that has not been successfully matched for two consecutive months, can be considered as no longer applicable. In order to improve the overall list matching efficiency of the agent system and save system computing resources, these combinations of rules that are no longer applicable can be deleted.

For step 103, after determining the rule combination matching the target list, since each rule combination has a correspondence with a list pool, the target list may be assigned to a rule combination matching the target list. The corresponding list pool, that is, the above target list pool.

Further, if the target list fails to match each rule combination on the agent system, the target list may be allocated to the specified list pool. It can be understood that the agent system can preset a special designated list pool, and if it is a target list that fails to be successfully matched, it can be assigned to the specified list pool, and the designated list pool can be used for the pooled list. Reassigned to each agent.

In addition, in this embodiment, the target list that fails to match each rule combination on the agent system may also be handed over to the administrator for manual assignment, and the administrator with the authority assigns the target list of the failed match to the target list. In the list pool on the agent system.

It should be noted that, for the list allocation method of the agent system provided in this embodiment, the agent system may set a timing thread in the background (for example, every 10 minutes), and when the timing thread timing is reached, the above-mentioned agent system is executed. The list allocation method, such as 101~103 in the corresponding embodiment of FIG. 1, implements the pool allocation of the list.

After the list is put into the pool, the agent system can also set another timing thread in the background (for example, every 20 minutes). When the timing thread timing is reached, the list in each list pool is automatically dispatched, that is, in the list pool. Unallocated lists are assigned to individual agents. Among them, taking into account the workload and work efficiency of the agents, the list should be given priority to the agents with less current tasks, and the tasks of controlling the agents as a whole are roughly equal. Preferably, each of the list pools has a one-to-one correspondence with each of the agent groups, that is, one list pool corresponds to one agent group. The seat group referred to here refers to an agent group composed of more than one agent. Each agent in the same agent group generally has the same or similar characteristics, such as the same academic qualifications, the same common language, the same gender, the same hobby category, and the like. Such a classification can specifically assign a list of the same characteristics to a specific list pool, so that the lists are finally assigned to the agent groups that also have these characteristics, and the agents in the agent group are responsible for processing the lists, thereby improving the business transformation of the list. rate. For example, there is a seat group I on the agent system, and each agent in the group is a local person in the Chaoshan area. Now, a target list is to be assigned, and the user of the target list is a Chaoshan. After the rule combination is matched, the target list is assigned to the matching rule combination (the rule item defines the user as a Chaoshan). If the list pool J corresponds to the agent group I, the target list is assigned to an agent in the agent group I. Since the agent is a local person in the Chaoshan area, the user of the target list can communicate smoothly through the tide, thereby greatly increasing the business conversion rate of the target list.

In this embodiment, the target list is matched with each rule combination, and the target list is put into the list pool corresponding to the matching rule combination, and the list entry operation of the agent system is completed. Since each rule combination is a combination of preset rule items, when it is necessary to adjust the rule combination of the list pool (equivalent to the pool entry rule), it is only necessary to adjust each rule item in the rule combination, without The code is rewritten or modified, which can save a lot of labor cost and time cost, improve the update efficiency of the rule pool of the list pool, and make the pool entry rule of the list pool update rapidly following the iteration of the service product.

FIG. 5 is a structural diagram showing an embodiment of a list distribution apparatus of an agent system in the embodiment of the present application. In this embodiment, a list distribution device of the agent system includes:

The target list determining module 501 is configured to determine a target list to be allocated, and each target list includes at least one list attribute;

The list matching module 502 is configured to match the target list with each rule combination on the agent system to obtain a rule combination that matches the target list; each rule combination has a corresponding relationship with a list pool; The rule combination includes at least one rule item, and if the list attribute of the target list meets the requirements of all rule items in a rule combination, the target list matches the one rule combination;

The list allocation module 503 is configured to allocate the target list to the target list pool, where the target list pool refers to a list pool corresponding to the rule combination matching the target list;

Each rule combination on the agent system is pre-configured by the following modules:

The rule item obtaining module 504 is configured to acquire each rule item preset on the agent system;

a rule item selection module 505, configured to select one or more rule items from the respective rule items;

a rule combination module 506, configured to combine the selected one or more rule items into a new rule combination;

The relationship establishing module 507 is configured to establish a correspondence between the new rule combination and a list pool of the agent system.

Further, the list distribution device of the agent system may further include:

There is a combined acquisition module for acquiring all existing rule combinations on the agent system;

An overlap determination module, configured to determine whether there is an overlap between the requirement range of the list of the new rule combination and any one of the existing rule combinations;

a combination deletion module, configured to delete the new rule combination if the determination result of the overlap determination module is yes;

The first triggering module is configured to trigger the relationship establishing module if the determining result of the overlapping determining module is negative.

Further, the list matching module may include:

a current combination selection unit, configured to select, from the respective rule combinations, a combination of rules that are not matched as the current rule combination;

The rule requesting determining unit is configured to determine whether the list attribute of the target list meets the requirements of all the rule items in the current rule combination;

Selecting a triggering unit, if the determination result of the rule requesting determining unit is negative, triggering the current combination selecting unit;

And a combination determining unit, configured to determine the current rule combination as a rule combination matching the target list if the determination result of the rule request determination unit is yes.

Further, the current combination selection unit includes: a combination selection sub-unit, configured to select, from the respective rule combinations, an unmatched rule combination according to a combination order as a current rule combination;

The combination order is set by the following modules:

The quantity statistics module is configured to periodically count the number of lists in which each of the combination of rules is successfully matched within a preset duration;

The combination sorting module sorts each of the rule combinations from the most to the least according to the number of lists corresponding to each of the rule combinations to obtain the combination order.

Further, the list distribution device of the agent system may further include:

And assigning a specified module, if the target list fails to match each rule combination on the agent system, the target list is allocated to the specified list pool.

FIG. 6 is a schematic diagram of a server according to an embodiment of the present application. As shown in FIG. 6, the server 6 of this embodiment includes a processor 60, a memory 61, and computer readable instructions 62 stored in the memory 61 and operable on the processor 60, for example, performing the above-described agents. The program of the system's list allocation method. When the processor 60 executes the computer readable instructions 62, the steps in the embodiment of the list allocation method of the respective agent systems are implemented, such as steps 101 to 103 shown in FIG. Alternatively, the processor 60, when executing the computer readable instructions 62, implements the functions of the various modules/units in the various apparatus embodiments described above, such as the functions of the modules 501 through 507 shown in FIG.

Illustratively, the computer readable instructions 62 may be partitioned into one or more modules/units, which are stored in a computer readable storage medium, such as the memory 61, and Executed by the processor 60 to complete the application.

Claims

A method for assigning a list of agent systems, characterized in that it comprises:

Determining a list of targets to be assigned, each target list including at least one list attribute;

Matching the target list with each rule combination on the agent system to obtain a rule combination matching the target list; each rule combination has a correspondence with a list pool; each rule combination includes at least one rule If the list attribute of the target list satisfies the requirements of all rule items in a rule combination, the target list matches the one rule combination;

Assigning the target list to the target list pool, where the target list pool refers to a list pool corresponding to the rule combination matching the target list;

Each rule combination on the agent system is pre-configured by the following steps:

Obtaining each rule item preset on the agent system;

Selecting more than one rule item from the respective rule items;

Combining the selected one or more rule items into a new rule combination;

Establishing a correspondence between the new rule combination and a list pool of the agent system.
The method for assigning a list of the agent system according to claim 1, wherein before the establishing the correspondence between the new rule combination and a list pool of the agent system, the method further includes:

Obtaining all existing rule combinations on the agent system;

Determining whether there is an overlap between the requirement range of the list of the new rule combination and any one of the existing rule combinations;

And if the new rule combination and any one of the existing rule combinations have overlapping parts of the required range of the list, the new rule combination is deleted;

And if the new rule combination and any one of the existing rule combinations have no overlapping part of the required range of the list, the establishing the new rule combination and one of the agent systems are performed. The steps of the correspondence of the list pool.
The method for assigning a list of the agent system according to claim 1, wherein the matching the target list with each rule combination on the agent system to obtain a rule combination matching the target list comprises:

Selecting a combination of rules that are not matched from the respective rule combinations as the current rule combination;

Determining whether the list attribute of the target list meets the requirements of all rule items in the current rule combination;

If the list attribute of the target list does not meet the requirement of any one of the current rule combinations, returning to perform the step of selecting a combination of rules that are not matched from the respective rule combinations as the current rule combination;

If the list attribute of the target list meets the requirements of all the rule items in the current rule combination, the current rule combination is determined as a rule combination that matches the target list.
The method for assigning a list of the agent system according to claim 3, wherein selecting a combination of rules that are not matched from the respective rule combinations as the current rule combination is specifically: from the respective rule combinations according to a combination order Select a combination of rules that are not matched as the current rule combination;

The combination order is set by the following steps:

Regularly counting the number of lists in which each of the combination of rules is successfully matched within a preset duration;

Each of the rule combinations is sorted according to the number of corresponding lists of each of the rule combinations to obtain the combination order.
The method for assigning a list of the agent system according to any one of claims 1 to 4, further comprising:

If the target list fails to match each rule combination on the agent system, the target list is assigned to the specified list pool.
A computer readable storage medium storing computer readable instructions, wherein the computer readable instructions, when executed by a processor, implement the following steps:

Determining a list of targets to be assigned, each target list including at least one list attribute;

Matching the target list with each rule combination on the agent system to obtain a rule combination matching the target list; each rule combination has a correspondence with a list pool; each rule combination includes at least one rule If the list attribute of the target list satisfies the requirements of all rule items in a rule combination, the target list matches the one rule combination;

Assigning the target list to the target list pool, where the target list pool refers to a list pool corresponding to the rule combination matching the target list;

Each rule combination on the agent system is pre-configured by the following steps:

Obtaining each rule item preset on the agent system;

Selecting more than one rule item from the respective rule items;

Combining the selected one or more rule items into a new rule combination;

Establishing a correspondence between the new rule combination and a list pool of the agent system.
The computer readable storage medium according to claim 6, wherein before the establishing the correspondence between the new rule combination and a list pool of the agent system, the method further comprises:

Obtaining all existing rule combinations on the agent system;

Determining whether there is an overlap between the requirement range of the list of the new rule combination and any one of the existing rule combinations;

And if the new rule combination and any one of the existing rule combinations have overlapping parts of the required range of the list, the new rule combination is deleted;

And if the new rule combination and any one of the existing rule combinations have no overlapping part of the required range of the list, the establishing the new rule combination and one of the agent systems are performed. The steps of the correspondence of the list pool.
The computer readable storage medium according to claim 6, wherein the matching the target list with each rule combination on the agent system to obtain a rule combination matching the target list comprises:

Selecting a combination of rules that are not matched from the respective rule combinations as the current rule combination;

Determining whether the list attribute of the target list meets the requirements of all rule items in the current rule combination;

If the list attribute of the target list does not meet the requirement of any one of the current rule combinations, returning to perform the step of selecting a combination of rules that are not matched from the respective rule combinations as the current rule combination;

If the list attribute of the target list meets the requirements of all the rule items in the current rule combination, the current rule combination is determined as a rule combination that matches the target list.
The computer readable storage medium according to claim 8, wherein selecting a combination of rules that are not matched from the respective rule combinations as the current rule combination is specifically: selecting, according to the combination order, the combination of the respective rules A combination of rules that are not matched as the current rule combination;

The combination order is set by the following steps:

Regularly counting the number of lists in which each of the combination of rules is successfully matched within a preset duration;

Each of the rule combinations is sorted according to the number of corresponding lists of each of the rule combinations to obtain the combination order.
The computer readable storage medium according to any one of claims 6 to 9, further comprising:

If the target list fails to match each rule combination on the agent system, the target list is assigned to the specified list pool.
A server comprising a memory, a processor, and computer readable instructions stored in the memory and operative on the processor, wherein the processor implements the following steps when the computer readable instructions are executed :

Determining a list of targets to be assigned, each target list including at least one list attribute;

Matching the target list with each rule combination on the agent system to obtain a rule combination matching the target list; each rule combination has a correspondence with a list pool; each rule combination includes at least one rule If the list attribute of the target list satisfies the requirements of all rule items in a rule combination, the target list matches the one rule combination;

Assigning the target list to the target list pool, where the target list pool refers to a list pool corresponding to the rule combination matching the target list;

Each rule combination on the agent system is pre-configured by the following steps:

Obtaining each rule item preset on the agent system;

Selecting more than one rule item from the respective rule items;

Combining the selected one or more rule items into a new rule combination;

Establishing a correspondence between the new rule combination and a list pool of the agent system.
The server according to claim 11, wherein before the establishing a correspondence between the new rule combination and a list pool of the agent system, the method further includes:

Obtaining all existing rule combinations on the agent system;

Determining whether there is an overlap between the requirement range of the list of the new rule combination and any one of the existing rule combinations;

And if the new rule combination and any one of the existing rule combinations have overlapping parts of the required range of the list, the new rule combination is deleted;

And if the new rule combination and any one of the existing rule combinations have no overlapping part of the required range of the list, the establishing the new rule combination and one of the agent systems are performed. The steps of the correspondence of the list pool.
The server according to claim 11, wherein the matching the target list with each rule combination on the agent system to obtain a rule combination matching the target list comprises:

Selecting a combination of rules that are not matched from the respective rule combinations as the current rule combination;

Determining whether the list attribute of the target list meets the requirements of all rule items in the current rule combination;

If the list attribute of the target list does not meet the requirement of any one of the current rule combinations, returning to perform the step of selecting a combination of rules that are not matched from the respective rule combinations as the current rule combination;

If the list attribute of the target list meets the requirements of all the rule items in the current rule combination, the current rule combination is determined as a rule combination that matches the target list.
The server according to claim 13, wherein a combination of rules that are not matched is selected from the respective rule combinations as a current rule combination, and specifically: one of the rule combinations is selected according to a combination order. The combination of rules as the current rule combination;

The combination order is set by the following steps:

Regularly counting the number of lists in which each of the combination of rules is successfully matched within a preset duration;

Each of the rule combinations is sorted according to the number of corresponding lists of each of the rule combinations to obtain the combination order.
The server according to any one of claims 11 to 14, further comprising:

If the target list fails to match each rule combination on the agent system, the target list is assigned to the specified list pool.
A list distribution device for a seating system, comprising:

a target list determining module, configured to determine a target list to be allocated, each target list including at least one list attribute;

a list matching module, configured to match the target list with each rule combination on the agent system to obtain a rule combination that matches the target list; each rule combination has a corresponding relationship with a list pool; The rule combination includes at least one rule item, and if the list attribute of the target list meets the requirements of all rule items in a rule combination, the target list matches the one rule combination;

a list allocation module, configured to allocate the target list to a target list pool, where the target list pool refers to a list pool corresponding to the rule combination matching the target list;

Each rule combination on the agent system is pre-configured by the following modules:

a rule item obtaining module, configured to acquire each rule item preset on the agent system;

a rule item selection module, configured to select one or more rule items from the each rule item;

a rule combination module, configured to combine the selected one or more rule items into a new rule combination;

The relationship establishing module is configured to establish a correspondence between the new rule combination and a list pool of the agent system.
The device for distributing a list of the agent system according to claim 16, further comprising:

There is a combined acquisition module for acquiring all existing rule combinations on the agent system;

An overlap determination module, configured to determine whether there is an overlap between the requirement range of the list of the new rule combination and any one of the existing rule combinations;

a combination deletion module, configured to delete the new rule combination if the determination result of the overlap determination module is yes;

The first triggering module is configured to trigger the relationship establishing module if the determining result of the overlapping determining module is negative.
The list distribution device of the agent system according to claim 16, wherein the list matching module comprises:

a current combination selection unit, configured to select, from the respective rule combinations, a combination of rules that are not matched as the current rule combination;

The rule requesting determining unit is configured to determine whether the list attribute of the target list meets the requirements of all the rule items in the current rule combination;

Selecting a triggering unit, if the determination result of the rule requesting determining unit is negative, triggering the current combination selecting unit;

And a combination determining unit, configured to determine the current rule combination as a rule combination matching the target list if the determination result of the rule request determination unit is yes.
The device for distributing a list of the agent system according to claim 18, wherein the current combination selection unit comprises:

Combining the selected sub-units, and selecting, from the respective rule combinations, a combination of rules that are not matched according to the combination order as the current rule combination;

The list distribution device of the agent system further includes:

The quantity statistics module is configured to periodically count the number of lists in which each of the combination of rules is successfully matched within a preset duration;

The combination sorting module sorts each of the rule combinations from the most to the least according to the number of lists corresponding to each of the rule combinations to obtain the combination order.
The list distribution device of the agent system according to any one of claims 16 to 19, further comprising:

And assigning a specified module, if the target list fails to match each rule combination on the agent system, the target list is allocated to the specified list pool.