CN115545921A - Client matching method, device, equipment and computer readable medium - Google Patents
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Abstract
The application discloses a customer matching method, a customer matching device, customer matching equipment and a computer readable medium, which can be applied to the financial field or other fields. According to the method, matching intention information of a target customer is obtained, at least one first candidate transaction customer is selected from a first queue according to the matching intention information of the target customer, whether all the selected first candidate transaction customers meet transaction matching conditions of a matching service platform or not is determined according to first integral values of all the first candidate transaction customers, and if all the first candidate transaction customers meet the transaction matching conditions of the matching service platform, transaction matching is conducted on the target customer and all the first candidate transaction customers. The matched first candidate transaction client not only accords with the matching intention information, but also meets the transaction matching condition, so that the transaction success rate is improved.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a client matching method, apparatus, device, and computer readable medium.
Background
The cross-border matching service platform is a platform for providing matching service and financial service for promoting enterprises to develop cross-border cooperation. Many enterprises realize cross-border cooperation through a cross-border matching service platform, and powerful support is provided for developing international markets, introducing advanced technologies and promoting product transformation.
However, the matching success rate and the satisfaction degree of the existing cross-border matching service platform are not very high, and a satisfactory cooperation object of an enterprise cannot be quickly matched for each enterprise, so that the customer experience of the platform is poor.
Disclosure of Invention
In view of this, embodiments of the present invention provide a client matching method, apparatus, device, and computer readable medium, so as to quickly match a high-quality transaction object to a target client, and improve matching success rate and satisfaction of a matching service platform.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
in a first aspect, the present application discloses a client matching method, including:
acquiring matching intention information of a target client;
according to the matching intention information of the target client, at least one first candidate transaction client is selected from a first queue; wherein the first queue comprises basic information of each customer in a matching service platform and the first credit value of the customer; the first credit value of the customer is determined according to basic information of the customer and historical transaction information of the customer; the first credit value of the customer is used for reflecting the transaction value of the customer;
determining whether all the selected first candidate transaction clients meet the transaction matching conditions of the matching service platform or not according to the first credit values of all the first candidate transaction clients; the transaction matching condition is set according to first credit values of all clients in the first queue;
and if all the first candidate transaction clients are determined to meet the transaction matching conditions of the matching service platform, performing transaction matching on the target client and all the first candidate transaction clients.
Optionally, in the customer matching method, the transaction matching conditions of the matching service platform include: the difference value between the candidate target value and the integral standard value is smaller than a threshold value; wherein the candidate target value is calculated based on the first credit values of all of the first candidate trading customers; the standard value of the integral is set according to the first integral value of all the clients in the first queue.
Optionally, in the customer matching method, after the selecting at least one first candidate transaction customer from the first queue according to the matching intention information of the target customer, the method further includes:
and if the first candidate transaction client does not meet the transaction matching conditions of the matching service platform, returning to the step of selecting at least one first candidate transaction client from a first queue according to the matching intention information of the target client.
Optionally, in the customer matching method, after performing transaction matching on the target customer and all the first candidate transaction customers if it is determined that all the first candidate transaction customers satisfy the transaction matching condition of the matching service platform, the method further includes:
monitoring the transaction process between the target customer and all the first candidate transaction customers to obtain the transaction information of the target customer;
and updating the first point value of the target customer and all the first candidate transaction customers in the first queue according to the transaction information of the target customer.
Optionally, in the customer matching method, after the monitoring a transaction process between the target customer and all the first candidate transaction customers and obtaining transaction information of the target customer, the method further includes:
if the monitoring shows that the transaction between the target customer and all the first candidate transaction customers is stopped, selecting at least one second candidate transaction customer from a second queue according to the second credit value of each customer in the second queue and the matching intention information of the target customer; wherein the second queue comprises: basic information of each customer who completes or stops the transaction within the latest preset time period, and a second credit value of the customer; the second point value of the customer is used for reflecting the transaction success rate of the customer;
and carrying out transaction matching on the target customer and all the second candidate transaction customers.
Optionally, in the customer matching method, before the selecting at least one second candidate transaction customer from the second queue according to the second credit value of each customer in the second queue and the matching intention information of the target customer, the method further includes:
prompting the target customer to re-make trade matches;
wherein the selecting at least one second candidate trading client from the second queue according to the second credit value of each of the clients in the second queue and the matching interest information of the target client comprises:
and in response to the transaction matching request of the target customer, selecting at least one second candidate transaction customer from a second queue according to the second credit value of each customer in the second queue and the matching intention information of the target customer.
Optionally, in the customer matching method, the first queue further includes: matching the level of each customer in the service platform; wherein the level of the customer is determined according to a first integration value of the customer;
the selecting at least one first candidate trading client from a first queue according to the matching intention information of the target client comprises:
selecting at least one first candidate trading client from a first queue according to the matching intention information of the target client and the trading matching rule; wherein the transaction matching rule is used for specifying a level requirement when the first candidate transaction client is selected.
In a second aspect, the present application discloses a client matching device, comprising:
the acquisition unit is used for acquiring matching intention information of the target client;
the first selection unit is used for selecting at least one first candidate transaction client from the first queue according to the matching intention information of the target client; wherein the first queue comprises basic information of each customer in a matching service platform and the first credit value of the customer; the first credit value of the customer is determined according to basic information of the customer and historical transaction information of the customer; the first credit value of the customer is used for reflecting the transaction value of the customer;
the determining unit is used for determining whether all the selected first candidate transaction clients meet the transaction matching conditions of the matching service platform according to the first integration values of all the first candidate transaction clients; the transaction matching condition is set according to first credit values of all clients in the first queue;
and the first transaction unit is used for carrying out transaction matching on the target customer and all the first candidate transaction customers if all the first candidate transaction customers are determined to meet the transaction matching conditions of the matching service platform.
In a third aspect, the present application discloses a computer readable medium having a computer program stored thereon, wherein the program when executed by a processor performs the method according to any of the first aspect as described above.
In a fourth aspect, the present application discloses a customer matching device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as in any one of the first aspects above.
Based on the customer matching method provided by the embodiment of the invention, the first candidate transaction customers are obtained according to the selection of the matching intention information of the target customer, and only when the first candidate transaction customers are determined to meet the transaction matching conditions of the matching service platform according to the first credit values of all the first candidate transaction customers, the transaction matching is performed on the target customer and all the first candidate transaction customers. And the transaction matching condition is set according to the first point value of all the clients in the first queue, so that the first candidate transaction client for finally performing transaction matching not only meets the matching intention of the target client, but also meets the transaction matching condition, so that after the target client and all the first candidate transaction clients perform transaction matching, the transaction success rate is high, and the client satisfaction is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic flowchart of a client matching method disclosed in an embodiment of the present application;
FIG. 2 is a flowchart illustrating a method for updating a first integral value according to an embodiment of the disclosure;
FIG. 3 is a schematic flow chart illustrating another exemplary customer matching method disclosed in an embodiment of the present application;
fig. 4 is a schematic structural diagram of a client matching device disclosed in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
In this application, 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 phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
Referring to fig. 1, an embodiment of the present application discloses a customer matching method, which can be applied to a service platform (collectively referred to as a matching service platform) for matching transactions in a system such as a cross-border matching service platform, an enterprise cooperation matching service platform, and a user transaction matching service platform, and specifically includes the following steps:
s101, acquiring matching intention information of the target client.
The target customers in the embodiment of the application refer to customers with trade matching requirements. The target client may be specifically a business with a transaction matching requirement, or may also be an individual with a transaction matching requirement, and the embodiment of the present application is not limited to a specific client type of the target client.
The matching intention information of the target client is used for explaining the intention of the target client to the client matched with the target client. Optionally, the matching intention information of the target customer may include: the target customer's intent to match the customer's asset size, intent to match the customer's type of operational business, or intent to match the customer's business size.
Alternatively, one implementation of performing step S101 may be: and receiving a transaction matching request of the target client, and then responding to the transaction matching request of the target client to acquire the matching intention information of the target client. The transaction matching request of the target customer can carry matching intention information. Optionally, the transaction matching request may also carry information about the number of clients to be matched. The information of the number of clients to be matched is used for explaining the number of clients of the target client needing the cooperative transaction in the current transaction. For example, it may be necessary to only transact with 1 customer, or it may be necessary to transact with multiple customers.
Optionally, another embodiment of executing step S101 may also be: the target client directly inputs the matching intention information of the target client, and then the platform obtains the matching intention information of the target client.
It should be noted that there are many ways to obtain the matching intention information of the target client, and the embodiment of the present application does not limit this.
S102, at least one first candidate transaction client is selected from the first queue according to the matching intention information of the target client.
The first queue comprises basic information of each customer in the matching service platform and a customer first credit value, the customer first credit value is determined according to the basic information of the customer and historical transaction information of the customer, and the customer first credit value is used for reflecting the transaction value of the customer. The target customer also belongs to the customers in the matching service platform, i.e. the basic information and the first credit value of the target customer are also recorded in the first queue. The historical transaction information of the customer can also be stored in the first queue or other positions.
Specifically, the process of executing step S102 may be to query, from the first queue, the client meeting the matching intention information of the target client as the first candidate transaction client, using the matching intention information of the target client as the query condition. The number of the first candidate transaction customers selected in step S102 may be determined according to the number of customers to be matched currently by the target customer. For example, the number of the first candidate transaction clients selected in step S102 may be consistent with the number of clients currently to be matched by the target client.
For example, the matching intention information of the target customer may be embodied in the form of a matching intention set including at least one matching condition. In the process of executing step S102, all matching conditions in the intention set are matched, a merge condition query is performed on the first queue, customers satisfying the matched conditions are queried from the first queue, and then at least one first candidate transaction customer is selected from the first candidate transaction customers. Alternatively, at least one first candidate transaction client may be randomly selected from the clients satisfying all the matching conditions.
Optionally, the historical transaction information of the customer may include one or more of historical transaction times, historical transaction completion times, historical transaction suspension times, historical transaction success rates, historical transaction elapsed times, historical transaction disputes, historical transaction violation times, and the like of the customer. The basic information of the client can comprise at least one or more of the size of the client's enterprise, the amount of the enterprise fund, the business responsible by the enterprise, and the like.
The first credit value of the customer may be set according to the basic information of the customer and the historical transaction information of the customer, which are currently recorded. Optionally, when the basic information of the customer and the historical transaction information are updated, the first credit value of the customer may be adjusted accordingly. That is, as the number of transactions of the customer increases and the business development of the customer changes, the first credit value of the customer also changes correspondingly.
In some embodiments, a rule for adjusting the first integration value of the customer may be preset. For example, the first point value of the customer may be set to be positively correlated with the numerical value of the indexes such as the transaction times, the transaction success rate, the enterprise scale, the enterprise fund amount, and the like. For another example, the first credit value of the customer may be set to be inversely correlated with the value of the index, such as the historical transaction elapsed time, the historical transaction dispute frequency, and the historical transaction violation frequency.
In summary, some incentive indexes capable of improving the transaction value of the customer and some penalty indexes capable of reducing the transaction value of the customer can be preset, and further the first point value of the customer can be correspondingly adjusted according to the change of the numerical values of the indexes. The higher the first credit value of the customer, the greater the transaction value of the customer, and the greater the transaction value of the customer, meaning the higher the success rate and customer satisfaction with the customer.
Alternatively, all the customers included in the first queue may be sorted according to the first integral value, or may not be sorted according to the first integral value, and there are many ways to store the basic information and the first integral value of each customer in the first queue, which is not limited in this embodiment of the present application.
Optionally, in other embodiments, the first queue may further include historical transaction information of each customer. When the historical transaction information and the basic information of the client are changed, the historical transaction information and the basic information stored in the first queue can be updated correspondingly. Optionally, the first credit value of each customer in the first queue may be updated according to the latest basic information and historical transaction information of the customer according to a preset updating period.
In other embodiments, the matching service platform may include: an excitation flow module and a penalty flow module. The incentive flow module is configured to, for each customer in the first queue, when monitoring that the incentive index of the customer is updated, forward adjust (which may be understood as forward incentive) a first integral value of the customer according to a value of the updated incentive index. The specific forward adjustment rule may depend on a specific application scenario, and for example, it may be preset that when the index of the number of transactions increases by 1, the first point value of the customer increases by 2. When the transaction success rate is increased by 0.1, the first point value is increased by 4, and so on.
The penalty flow module is configured to, for each client in the first queue, when monitoring that the penalty index of the client is updated, negatively adjust (which may also be understood as penalty reduction) the first credit value of the client according to the updated value of the penalty index. For example, it may be preset that when the average elapsed time of the transaction increases by 1 day, the first point value of the customer decreases by 1, and when the number of disputes of the transaction increases by 1, the first point value of the customer decreases by 2.
It should be noted that there are many methods for setting the first credit value of each client in the first queue, including but not limited to what is proposed in the embodiments of the present application.
Optionally, in a specific embodiment of the present application, the first queue further includes: the level of each customer in the service platform is matched, wherein the level of the customer is determined according to the first integral value of the customer. One embodiment of performing step S102 includes:
and selecting at least one first candidate transaction client from the first queue according to the matching intention information of the target client and the transaction matching rule. Wherein the transaction matching rules are used to specify the ranking requirements when selecting the first candidate transaction client.
In particular, a level of a customer may be understood to be a level of the customer's transaction value. For example, the higher the rank of the customer, the higher the value of the customer's transaction. In the case that the first queue further includes a level of each client, in the process of executing step S102, when the first candidate transaction client is selected, in addition to the matching intention information of the target client, a transaction matching rule may be used.
Alternatively, a level condition corresponding to each level may be set in advance. When the first integral value of the customer meets the level condition corresponding to the level, the level of the customer is determined.
For example, the first queue may include multiple queues, namely a good customer queue, a medium customer queue, and a general customer queue. The good customer queue is used for storing customers with the first integral value larger than or equal to a first preset value, the medium customer queue is used for storing customers with the first integral value smaller than the first preset value and larger than or equal to a second preset value, and the common customer queue is used for storing customers with the first integral value smaller than the second preset value. Wherein the first preset value is greater than the second preset value. Alternatively, when the first integral value of the customer is updated, the queue where the customer is located may be adjusted according to the updated first integral value. For example, if the first integral value is changed from originally smaller than the second preset value to larger than the second preset value and smaller than the first preset value after the customer updates the first integral value, the customer is adjusted from the normal customer queue to the medium customer queue.
Optionally, in an initialization stage (that is, when transaction matching is not started for each client yet), all clients may be stored in a specific level (for example, all clients are stored in a level with the lowest transaction value) of the first queue in advance, after the subsequent matching service platform is operated, the first credit value of each client is updated and changed, and then the level of each client is adjusted accordingly according to the first credit value of each client.
For example, if the first queue includes a good customer queue, a medium customer queue, and a general customer queue, the basic information of all customers may be stored in the general customer queue in the initialization stage, and then the first credit value of each customer may be set according to the basic information of the customer. In the general customer queue, the customers may be arranged in accordance with the first integration value. After the subsequent matching service platform operates, the historical transaction record information of each client is updated in the first queue, correspondingly, for each client, the first integral value of the client is reset according to the updated historical transaction record information and the basic information, and then whether the queue to which the client belongs is adjusted or not is determined according to the reset first integral value. And if the first integral value of the client after resetting is larger than the second preset value and smaller than the first preset value, storing the first integral value into a medium client queue.
The transaction matching rules specify a ranking requirement when selecting the first candidate transaction client. Therefore, in the process of selecting the first candidate transaction client in the first queue, the client meeting the matching intention information needs to be queried according to the level requirement specified in the transaction matching rule under the condition of meeting the level requirement.
For example, a transaction matching rule may specify that two customers must negotiate to include medium customers, that more than three customers must negotiate to include premium customers and medium customers, and so on. When the target client in step S101 needs to perform a transaction negotiated between two clients, a client meeting the matching intention information of the target client is queried from the medium client queue in the first queue according to the transaction matching rule, and then one client can be randomly selected from the queried clients as a first candidate transaction client.
The quality of the finally matched transaction can be guaranteed through the level requirements specified by the transaction matching rules, and the transaction success rate and the customer satisfaction degree are improved.
And S103, determining whether all the selected first candidate transaction clients meet the transaction matching conditions of the matching service platform according to the first credit values of all the first candidate transaction clients, wherein the transaction matching conditions are set according to the first credit values of all the clients in the first queue.
If all the selected first candidate transaction clients are determined to meet the transaction matching conditions of the matching service platform, the step S104 is executed, and if all the first candidate transaction clients are determined not to meet the transaction matching conditions of the matching service platform, the step S102 is returned to.
Since the transaction matching condition is set according to the first credit values of all the customers in the first queue, and as can be seen from the foregoing description of the first credit values, the first credit value can reflect the transaction value of the customer. Therefore, if it is determined that all the first candidate transaction clients selected meet the transaction matching condition of the matching service platform according to the first credit values of all the first candidate transaction clients, it indicates that the first credit values of all the first candidate transaction clients currently selected meet the criterion of the first credit value set by the transaction matching condition, that is, it is determined that the transaction values of all the first candidate transaction clients meet the reference of transaction matching, and step S104 may be executed.
Correspondingly, if it is determined that all the first candidate transaction clients selected do not meet the transaction matching condition of the matching service platform, it is indicated that the first credit values of all the first candidate transaction clients currently selected cannot meet the criterion of the first credit values set by the transaction matching condition, that is, it is determined that the transaction values of all the first candidate transaction clients currently selected do not meet the criterion of transaction matching, and therefore, it is required to return to step S102 for re-selection.
Optionally, in a specific embodiment of the present application, the transaction matching condition of the matching service platform includes: the difference between the candidate target value and the integrated standard value is smaller than the threshold value. Wherein the candidate target value is calculated based on the first point values of all first candidate trading customers, and the point criterion value is set based on the first point values of all customers in the first queue.
Wherein the integrated standard value is used to characterize a standard for the first integrated value, i.e. the integrated standard value represents a first integrated value benchmark for a customer of the first queue. If the difference value from the standard value of the integral is too large, it means that the standard requirement of the first integral value is not met, and the transaction failure rate may be higher. If the difference value between the candidate target value and the standard integration value is smaller than the threshold value, it indicates that the first integration values of all the first candidate transaction clients reach the standard requirement of the first integration values, and the success rate is higher when the target client transacts with the first candidate transaction clients. If the difference between the candidate target value and the score standard value is not less than the threshold, it indicates that the first score values of all the first candidate customers do not meet the reference requirement of the first score values, and the difference between the first score values and the score standard values is too large, so that when the target customer transacts with the first candidate transaction customers, the success rate is low, and the first candidate transaction customers need to be reselected.
Alternatively, the candidate objective value may be calculated by averaging the first points of value of all of the first candidate customers to obtain the candidate objective value. A median may also be selected from the first points of all of the first candidate trading customers as the candidate target value. The calculation of the standard score value may be an average of the first score values of all the customers in the first queue to obtain the standard score value. It is also possible to select the median from the first integral values of all customers in the first queue as the standard value of the integral.
And S104, carrying out transaction matching on the target client and all the first candidate transaction clients.
Since all the selected first candidate trading customers meet the matching intention of the target customer and the first point values of the first candidate trading customers also meet the trading matching conditions, the trading matching between the target customer and all the first candidate trading customers can be realized. Specifically, the way to make the trade match may be to prompt the target customer and all first candidate trading customers to make the trade.
Optionally, referring to fig. 2, in an embodiment of the present application, after the step S104 is executed, the method further includes:
s201, monitoring the transaction process between the target customer and all the first candidate transaction customers to obtain the transaction information of the target customer.
Monitoring the transaction process when the customers match the transaction and after the transaction is completed, recording various information in the transaction process, such as violation conditions, transaction time consumption, transaction dispute number and the like, and then respectively adding the recorded information into the historical transaction records of the target customer and the first candidate transaction customer. For example, the information related to the incentive index may be added to the event stream incentive index, the information related to the penalty index may be added to the penalty index, and then the matching service platform performs credit deduction and credit addition corresponding to the first credit value according to the updated indicator, so as to update the first credit values of the target customer and all the first candidate transaction customers in the first queue.
Optionally, referring to fig. 3, in an embodiment of the present application, after the step S201 is executed, the method further includes:
s301, monitoring whether the transaction between the target client and all the first candidate transaction clients is stopped.
If it is monitored that the transactions between the target customer and all the first candidate transaction customers are aborted, step S302 is executed, and if it is monitored that there is no transaction abort between the target customer and all the first candidate transaction customers, the flow is ended.
The transaction abort refers to that the transaction cannot be continued due to the occurrence of an exception during the transaction process, such as that the company breaks down, the company encounters an inequality factor, and the like. When the condition of transaction termination is monitored, transaction information of the target customer also needs to be recorded, and the transaction information specifically comprises information filled by the target customer in the transaction process, violation conditions encountered in the transaction process, transaction time consumption, transaction dispute number and the like. Therefore, when the target client is matched with the transaction again later, the target client can be helped to pre-fill the information required to be filled in the transaction process, and the target client is not required to be re-filled. Meanwhile, the information of violation conditions, transaction time consumption, transaction dispute numbers and the like in the whole transaction process can be respectively added into the historical transaction records of the target customer and the first candidate transaction customer, and the first point values of the target customer and the first candidate transaction customer in the first queue can be updated.
If it is monitored that there is no transaction suspension between the target client and all the first candidate transaction clients, it is indicated that the target client and all the first candidate transaction clients normally complete transactions, and therefore, no special processing is required, and only the steps S201 to S202 need to be normally executed.
S302, at least one second candidate trading client is selected from a second queue according to a second credit value of each client in the second queue and the matching intention information of the target client, wherein the second queue comprises basic information of each client which completes or stops the trading within the latest preset time period and the second credit value of the client, and the second credit value of the client is used for reflecting the trading success rate of the client.
Specifically, the matching service platform is further provided with a second queue. The second queue is used for storing basic information and a second credit value of a client group having completed the transaction and a client (such as a target client in the embodiment) whose transaction is suspended and needs to be transacted again. The second credit value of the customer may be set according to historical transaction information such as the transaction completion number, the transaction time consumption, and the transaction dispute condition within the latest preset time period. The higher the second credit value of the customer, the greater the transaction success rate when the transaction is conducted with the customer. The second candidate trading client may be understood as a trading client matched for the target client.
Alternatively, all customers in the second queue may be sorted for storage. For example, may be divided into a transaction abort queue and a transaction complete queue. The transaction abort queue is used to store customers who have aborted a transaction and need to resume the transaction. The transaction completion queue is used for storing the clients completing the transaction within the latest preset time period. When a customer of the transaction abort queue is relegated to a transaction, the customer may be removed from the transaction abort queue. The transaction completion queue stores only the customers who completed the transaction within the latest preset time period, for example, only the customers who completed the transaction within the latest hour.
Alternatively, the process of performing step S302 may be that the target customer preferentially selects the customer with the highest second point value in the matching intention information meeting the target customer in the second queue as the second candidate trading customer. Therefore, the selected second candidate transaction client is guaranteed to have high transaction success rate and meet the matching intention of the target client, and the condition that the transaction is stopped after the target client conducts transaction again is avoided.
Alternatively, if the second queue is divided into a transaction suspension queue and a transaction completion queue, the process of executing step S302 may be: and preferentially selecting the client with the highest second value in the matching intention information meeting the target client in the transaction termination queue, namely preferentially selecting the clients needing to carry out transaction again due to transaction termination. And if the clients meeting the matching intention cannot be searched in the transaction termination queue or not enough clients meeting the matching intention are searched in the transaction termination queue, selecting from the transaction completion queue.
Optionally, in a specific embodiment of the present application, before executing step S302, the method further includes:
prompting the target customer to re-make the transaction match.
Wherein, when executing step S302, the method includes: and in response to the transaction matching request of the target customer, selecting at least one second candidate transaction customer from the second queue according to the second credit value of each customer in the second queue and the matching intention information of the target customer.
Specifically, the matching service platform sends prompt information to the target client to prompt the target client to conduct transaction matching again, after the target client looks up the prompt information, a transaction matching request of the target client is sent to the matching service platform, and then the matching service platform responds to the transaction matching request of the target client and selects at least one second candidate transaction client from the second queue according to a second credit value of each client in the second queue and matching intention information of the target client.
And S303, carrying out transaction matching on the target client and all the second candidate transaction clients.
The execution process and principle of step S303 may refer to step S104, and the difference is only that the objects for performing transaction matching are different, which is not described in detail in this embodiment of the present application.
S202, updating the first credit values of the target customer and all the first candidate transaction customers in the first queue according to the transaction information of the target customer.
After the transaction is terminated or the transaction is completed, the first credit values of the target customer and all the first candidate transaction customers in the first queue are updated according to the transaction information of the target customer (only the transaction information corresponding to the currently completed transaction).
Optionally, if the matching service platform further includes a second queue, the second credit value of the target customer may also be updated according to the transaction information of the target customer.
In the client matching method provided by the embodiment of the application, the first candidate transaction client is obtained according to the selection of the matching intention information of the target client, and only when the first candidate transaction client is determined to meet the transaction matching conditions of the matching service platform according to the first credit values of all the first candidate transaction clients, the target client and all the first candidate transaction clients are subjected to transaction matching. And the transaction matching condition is set according to the first point value of all the clients in the first queue, so that the first candidate transaction client for finally performing transaction matching not only meets the matching intention of the target client, but also meets the transaction matching condition, so that after the target client and all the first candidate transaction clients perform transaction matching, the transaction success rate is high, and the client satisfaction is improved.
Referring to fig. 4, based on the client matching method provided in the embodiment of the present application, the embodiment of the present application correspondingly discloses a client matching device, which includes: an acquisition unit 401, a first selection unit 402, a determination unit 403, and a first transaction unit 404.
An obtaining unit 401 is configured to obtain matching intention information of the target client.
A first selecting unit 402, configured to select at least one first candidate trading customer from the first queue according to the matching intention information of the target customer. Wherein the first queue comprises basic information of each customer in the matching service platform and a customer first credit value. The first credit value of the customer is determined based on basic information of the customer and historical transaction information of the customer. The first credit value of the customer is used to reflect the value of the customer's transaction.
A determining unit 403, configured to determine whether all the selected first candidate transaction clients meet the transaction matching condition of the matching service platform according to the first credit values of all the first candidate transaction clients. The transaction matching condition is set according to the first credit values of all the clients in the first queue.
Optionally, in a specific embodiment of the present application, the transaction matching condition of the matching service platform includes: the difference between the candidate target value and the integrated standard value is smaller than the threshold value. Wherein the candidate target value is calculated based on the first credit values of all of the first candidate trading customers. The point criterion value is set based on the first point value of all customers in the first queue.
And a first transaction unit 404, configured to match the transactions of the target customer and all the first candidate transaction customers if it is determined that all the first candidate transaction customers meet the transaction matching conditions of the matching service platform.
Optionally, in a specific embodiment of the present application, the method further includes:
and the returning unit is used for returning to the first selecting unit 402 if the first candidate transaction client does not meet the transaction matching condition of the matching service platform.
Optionally, in a specific embodiment of the present application, the method further includes: a monitoring unit and an updating unit.
And the monitoring unit is used for monitoring the transaction process between the target client and all the first candidate transaction clients to obtain the transaction information of the target client.
And the updating unit is used for updating the first credit values of the target customer and all the first candidate transaction customers in the first queue according to the transaction information of the target customer.
Optionally, in a specific embodiment of the present application, the method further includes: a second selection unit and a second transaction unit.
And the second selecting unit is used for selecting at least one second candidate trading client from the second queue according to the second credit value of each client in the second queue and the matching intention information of the target client if the monitoring shows that the trading between the target client and all the first candidate trading clients is stopped. Wherein the second queue comprises: basic information of each customer who completes the transaction or stops the transaction within the latest preset time period, and a second credit value of the customer. The second credit value of the customer is used to reflect the transaction success rate of the customer.
And the second transaction unit is used for carrying out transaction matching on the target customer and all the second candidate transaction customers.
Optionally, in a specific embodiment of the present application, the method further includes:
and the prompting unit is used for prompting the target client to carry out transaction matching again.
The second selecting unit is used for selecting at least one second candidate trading client from the second queue according to the second credit value of each client in the second queue and the matching intention information of the target client:
and in response to the transaction matching request of the target customer, selecting at least one second candidate transaction customer from the second queue according to the second credit value of each customer in the second queue and the matching intention information of the target customer.
Optionally, in a specific embodiment of the present application, the first queue further includes: matching the level of each customer in the service platform. Wherein the level of the customer is determined according to the first integration value of the customer. The first selecting unit is used for selecting at least one first candidate trading client from the first queue according to the matching intention information of the target client:
and selecting at least one first candidate transaction client from the first queue according to the matching intention information of the target client and the transaction matching rule. Wherein the transaction matching rules are used to specify a level requirement when selecting the first candidate transaction client.
The implementation process and principle of each unit in the client matching device provided in the embodiment of the present application may refer to the client matching method provided in the embodiment of the present application, and are not described herein again.
Based on the client matching device provided in the above-mentioned embodiment of the present invention, since the first candidate transaction client is obtained by the first selecting unit 402 according to the selection of the matching intention information of the target client, and only when the determining unit 403 determines that the first candidate transaction client satisfies the transaction matching condition of the matching service platform according to the first credit values of all the first candidate transaction clients, the first transaction unit 404 performs transaction matching on the target client and all the first candidate transaction clients. And the transaction matching condition is set according to the first point values of all the clients in the first queue, so that the first candidate transaction client for finally performing transaction matching not only meets the matching intention of the target client, but also meets the transaction matching condition, and after the target client and all the first candidate transaction clients perform transaction matching, the transaction success rate is high, and the client satisfaction is improved.
The embodiment of the application also discloses a computer readable medium, wherein a computer program is stored on the computer readable medium, and when the computer program is executed by a processor, the client matching method is realized.
The application also discloses customer matching equipment, includes: one or more processors; a storage device having one or more programs stored thereon which, when executed by the one or more processors, cause the one or more processors to implement a customer matching method as in any above.
It should be noted that the customer matching method, apparatus, device, and computer-readable medium provided by the present invention may be used in the artificial intelligence field, the block chain field, the distributed field, the cloud computing field, the big data field, the internet of things field, the mobile internet field, the network security field, the chip field, the virtual reality field, the augmented reality field, the holographic technology field, the quantum computing field, the quantum communication field, the quantum measurement field, the digital twin field, or the financial field. The foregoing is merely an example and does not limit the application fields of the client matching method, apparatus, device and computer readable medium provided by the present invention.
The customer matching method, the device, the equipment and the computer readable medium provided by the invention can be used in the financial field or other fields, for example, can be used in a customer transaction matching service application scene in the financial field. Other fields are any fields other than the financial field, for example, the field of computer technology. The foregoing is merely an example and does not limit the application fields of the client matching method, apparatus, device and computer readable medium provided by the present invention.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A customer matching method, comprising:
acquiring matching intention information of a target client;
according to the matching intention information of the target client, at least one first candidate transaction client is selected from a first queue; wherein the first queue comprises basic information of each customer in the matching service platform and the first credit value of the customer; the first credit value of the customer is determined according to basic information of the customer and historical transaction information of the customer; the first credit value of the customer is used for reflecting the transaction value of the customer;
determining whether all the selected first candidate transaction clients meet transaction matching conditions of the matching service platform according to the first credit values of all the first candidate transaction clients; the transaction matching condition is set according to the first point values of all the clients in the first queue;
and if all the first candidate transaction clients meet the transaction matching conditions of the matching service platform, performing transaction matching on the target client and all the first candidate transaction clients.
2. The method of claim 1, wherein the transaction matching conditions of the matching service platform comprise: the difference value between the candidate target value and the integral standard value is smaller than a threshold value; wherein the candidate target value is calculated based on the first credit values of all of the first candidate trading customers; the standard value of the integral is set according to the first integral value of all the clients in the first queue.
3. The method of claim 1, wherein after selecting at least one first candidate trading client from the first queue based on the matching intent information of the target client, further comprising:
and if the first candidate transaction client does not meet the transaction matching conditions of the matching service platform, returning to the step of selecting at least one first candidate transaction client from the first queue according to the matching intention information of the target client.
4. The method of claim 1, wherein if it is determined that all of the first candidate transaction clients satisfy the transaction matching condition of the matching service platform, after performing transaction matching on the target client and all of the first candidate transaction clients, further comprising:
monitoring the transaction process between the target customer and all the first candidate transaction customers to obtain the transaction information of the target customer;
and updating the first point value of the target customer and all the first candidate transaction customers in the first queue according to the transaction information of the target customer.
5. The method of claim 4, wherein said monitoring the transaction process between said target customer and all of said first candidate transaction customers, after obtaining transaction information of said target customer, further comprises:
if the monitoring shows that the transaction between the target customer and all the first candidate transaction customers is stopped, selecting at least one second candidate transaction customer from a second queue according to the second credit value of each customer in the second queue and the matching intention information of the target customer; wherein the second queue comprises: basic information of each customer who completes or stops the transaction within the latest preset time period, and a second credit value of the customer; the second credit value of the customer is used for reflecting the transaction success rate of the customer;
and carrying out transaction matching on the target customer and all the second candidate transaction customers.
6. The method of claim 5, wherein before selecting at least one second candidate trading customer from the second queue based on the second credit value of each of the customers in the second queue and the matching intent information of the target customer, further comprising:
prompting the target customer to re-make trade matches;
wherein the selecting at least one second candidate trading customer from the second queue according to the second credit value of each of the customers in the second queue and the matching intention information of the target customer comprises:
and in response to the transaction matching request of the target customer, selecting at least one second candidate transaction customer from a second queue according to the second credit value of each customer in the second queue and the matching intention information of the target customer.
7. The method of any of claims 1 to 6, wherein the first queue further comprises: matching the level of each customer in the service platform; wherein the level of the customer is determined according to a first integration value of the customer;
the selecting at least one first candidate trading client from a first queue according to the matching intention information of the target client comprises:
selecting at least one first candidate trading client from a first queue according to the matching intention information of the target client and the trading matching rule; wherein the transaction matching rules are used to specify a ranking requirement when selecting the first candidate transaction client.
8. A client matching device, comprising:
the acquisition unit is used for acquiring matching intention information of a target client;
the first selection unit is used for selecting at least one first candidate transaction client from a first queue according to the matching intention information of the target client; wherein the first queue comprises basic information of each customer in the matching service platform and the first credit value of the customer; the first credit value of the customer is determined according to basic information of the customer and historical transaction information of the customer; the first credit value of the customer is used for reflecting the transaction value of the customer;
the determining unit is used for determining whether all the selected first candidate transaction clients meet the transaction matching conditions of the matching service platform according to the first credit values of all the first candidate transaction clients; the transaction matching condition is set according to the first point values of all the clients in the first queue;
and the first transaction unit is used for carrying out transaction matching on the target customer and all the first candidate transaction customers if all the first candidate transaction customers are determined to meet the transaction matching conditions of the matching service platform.
9. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1 to 7.
10. A customer matching device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-7.
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| CN202211181175.8A CN115545921A (en) | 2022-09-27 | 2022-09-27 | Client matching method, device, equipment and computer readable medium |
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