CN111178914B - Method, device, equipment and storage medium for identifying split purchase and sink behaviors - Google Patents
Method, device, equipment and storage medium for identifying split purchase and sink behaviors Download PDFInfo
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- CN111178914B CN111178914B CN201911418172.XA CN201911418172A CN111178914B CN 111178914 B CN111178914 B CN 111178914B CN 201911418172 A CN201911418172 A CN 201911418172A CN 111178914 B CN111178914 B CN 111178914B
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Abstract
The application provides a method for identifying split purchase and sink actions, a device, equipment and a storage medium, wherein in the method for identifying split purchase and sink actions, acquired purchase and sink exchange information is real-time transaction information, and preset blacklist information is acquired based on real-time transfer information. In summary, the method and the system for identifying and intercepting the split purchase transaction are carried out in real time, so that the real-time supervision of the purchase transaction is ensured, and the compliance of the purchase transaction is further ensured.
Description
Technical Field
The present application relates to the field of information identification, and in particular, to a method, apparatus, device, and storage medium for identifying split purchase and collection behaviors.
Background
The foreign bureau purchases a credit of $ 5 ten thousand per year for the citizens within the house. The split purchase and exchange is the behavior that individual clients occupy the credit of other people by dividing and transferring the RMB to a plurality of clients. The split-sink purchase behavior is an illegal financial transaction behavior, but in the existing technical scheme, the split-sink purchase behavior cannot be identified in real time, so that illegal sink purchase transaction cannot be intercepted in time.
Disclosure of Invention
In view of the above, the present application provides a method, a device and a storage medium for identifying split purchase and collection behavior, which are used for identifying split purchase and collection behavior in real time, and the method comprises the following steps:
a method for identifying split purchase and sink behaviors comprises the following steps:
acquiring purchase exchange information, wherein the purchase exchange information comprises a purchase exchange initiator;
obtaining preset blacklist information, wherein the blacklist information is obtained according to real-time transfer information, the blacklist information comprises transfer receivers meeting preset conditions, the preset conditions comprise target transfer parties, the number of the target transfer parties is larger than a preset first value, the number of transfer objects with purchase and transfer behaviors is larger than a preset second value, the purchase and transfer ratio of the target transfer objects is larger than a preset third value, the purchase and transfer ratio is the ratio of the purchase and transfer amount of the target transfer objects, and the target transfer objects are any one of the transfer objects with the purchase and transfer behaviors;
and under the condition that the blacklist information comprises the purchase and sink initiator, determining that the purchase and sink initiator participates in the split purchase and sink behavior.
Optionally, the obtaining process of the blacklist information includes:
acquiring first real-time transfer information, wherein the first real-time transfer information comprises a first transfer initiator and a first transfer receiver;
and adding the first transfer receiver into the historical blacklist information to form the blacklist information under the condition that the first transfer initiator is determined to be the target transfer party based on the historical blacklist information.
Optionally, the obtaining process of the history blacklist information includes:
acquiring historical transfer information, wherein the historical transfer information comprises a transfer party, a transfer receiver and a transfer amount;
and for any piece of history transfer information, if the transfer party in the history transfer information is the target transfer party, adding the transfer object of the transfer party into the history blacklist information.
Optionally, adding the transfer object of the transfer party to the historical blacklist information includes:
adding all transfer objects of the transfer party into historical blacklist information; or adding the transfer object which does not generate purchase and transfer behavior in the historical blacklist information in the transfer objects of the transfer party.
Optionally, in a case where the first transfer initiator is not the target transfer initiator, the first real-time transfer information is added to the history transfer information.
Optionally, acquiring the first real-time transfer information includes:
acquiring real-time transfer information;
and under the condition that the transfer amount in the real-time transfer information is larger than a preset transfer threshold value, taking the real-time transfer information as the first real-time transfer information.
A real-time interception method for split purchase and collection behavior comprises the following steps:
determining a sink sponsor participating in the split sink behavior by using the method for identifying the split sink behavior according to any one of claims 1 to 6;
and intercepting the purchase and exchange behavior of the purchase and exchange initiator participating in the split purchase and exchange behavior.
An identification device for split purchase and sink actions, comprising:
the transaction information acquisition unit is used for acquiring purchase and exchange information, wherein the purchase and exchange information comprises a purchase and exchange initiator;
the blacklist information acquisition unit is used for acquiring preset blacklist information, the blacklist information is acquired according to real-time transfer information, the blacklist information comprises transfer receivers meeting preset conditions, the preset conditions comprise a target transfer party, the number of transfer objects of the target transfer party is larger than a preset first value, the number of transfer objects of a purchase and transfer behavior is larger than a preset second value, the purchase and transfer ratio of the target transfer object is larger than a preset third value, the purchase and transfer ratio is the ratio of the purchase and transfer amount of the target transfer object, and the target transfer object is any one of transfer objects of the purchase and transfer behavior;
and the split purchase and sink behavior identification unit is used for determining that the purchase and sink initiator participates in split purchase and sink behavior under the condition that the blacklist information comprises the purchase and sink initiator.
An identification device for split purchase and sink actions, comprising: a memory and a processor;
the memory is used for storing programs;
the processor is used for executing the program, and realizing the identification method of the split purchase and sink behavior or the steps of the real-time interception method of the split purchase and sink behavior.
A storage medium having stored thereon a computer program which, when executed by a processor, implements the method of identifying a split purchase converging action as described above or the steps of implementing a real-time interception method of a split purchase converging action as described above.
According to the technical scheme, in the method for identifying the split purchase and sink actions, the acquired purchase and sink exchange information is real-time transaction information, and the preset blacklist information is acquired based on real-time transfer information, so that for any purchase and sink transaction, whether the purchase and sink initiator participates in the split purchase and sink actions can be identified in real time. In summary, the method and the system for identifying and intercepting the split purchase transaction are carried out in real time, so that the real-time supervision of the purchase transaction is ensured, and the compliance of the purchase transaction is further ensured.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a method for identifying split purchase and sink actions according to an embodiment of the present application;
fig. 2 is a flow chart of a method for obtaining blacklist information according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an identification device for split purchase and collection according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an identification device for split purchase and sink actions according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The implementation manner of the identification method for the split purchase and sink behavior provided by the embodiment of the application can be as follows: the method is realized based on a big data platform, wherein the big data platform at least comprises a database (MongoDB) stored based on distributed files and is used for storing blacklist information, historical transfer information, historical purchase and transfer information and the like. Other databases (e.g., dataX servers) are also included in the big data platform, and the big data platform runs real-time online computing programs as well as offline computing programs.
Fig. 1 is a flow chart of a method for identifying split purchase and sink actions according to an embodiment of the present application, as shown in fig. 1, may specifically include:
s101, acquiring purchase and exchange information.
The purchase exchange information comprises a purchase exchange initiator. In this embodiment, each purchase exchange message is sent to the big data platform in real time in a socks mode.
S102, acquiring preset blacklist information.
The preset blacklist information is obtained according to real-time transfer information. Any one of the blacklist information includes a transfer receiver satisfying a preset condition, where the preset condition may be set according to a relevant specification of a financial transaction specification, and in this embodiment, the preset condition includes a target transfer party, the number of the target transfer party is that the number of transfer objects is greater than a preset first value, the number of transfer objects that undergo a purchase-transfer behavior is greater than a preset second value, and a purchase-transfer ratio of the target transfer object is greater than a preset third value. The purchase-transfer ratio is the ratio of the purchase-transfer amount to the transfer amount of a target transfer object, and the target transfer object is any one of transfer objects with purchase-transfer behaviors.
Specifically, the preset blacklist information may be obtained by updating historical blacklist information according to real-time transfer information, wherein the historical blacklist information is obtained according to the historical transfer information. Fig. 2 is a flow chart of a method for obtaining blacklist information according to an embodiment of the present application, which is described by taking a preset first value as n, a preset second value as m, and a preset third value as x as an example, as shown in fig. 2, the method may specifically include:
s201, historical transfer information is acquired, wherein the historical transfer information comprises a transfer party, a transfer receiver and a transfer amount.
For example, a historical transfer transaction initiated by customer A transfers 20 ten thousand to customer B's account. The piece of history transfer information L1 includes: the transfer party is customer a, the transfer receiver is customer B, and the transfer amount is 20 ten thousand.
S202, for any piece of historical transfer information, if a transfer party in the historical transfer information meets a preset condition, adding a transfer object in the historical transfer information into the historical blacklist information.
It is understood that the transfer party satisfying the preset condition is the target transfer party. Specifically, the process of judging whether the transfer party of any one of the history transfer information is the target transfer party may include:
s1, judging whether the number of transfer objects of a transfer party is larger than n based on all the historical transfer information, wherein the transfer objects are transfer receivers included in the historical transfer transaction of the transfer transaction initiated by the transfer party.
S2, judging whether the number of transfer objects of the transfer party is larger than m or not based on historical purchase and exchange information, and marking the m transfer objects as target transfer objects in the embodiment.
And S3, if the number of the target transfer objects is larger than m, judging whether the ratio (namely, the purchase-transfer ratio) of the purchase-transfer amount and the transfer amount of any transfer object with purchase-transfer behavior is larger than x.
And S4, if the purchase-transfer ratio of more than m transfer objects in the target transfer objects is more than x, confirming that the transfer party in the historical transfer information is the target transfer party.
The target transfer party is obtained through S1 to S4, and the embodiment further adds all transfer objects of the target transfer party to the blacklist information, or adds transfer objects except the target transfer object in all transfer objects of the target transfer party to the history blacklist information. That is, the transfer object, for which no purchase and transfer behavior occurs, is added to the history blacklist information.
In this embodiment, all the history transfer information and all the history purchase and exchange information are stored in advance in a database (e.g., mangoDB) of a large data platform.
It should be noted that, the above-mentioned all history transfer information, all history purchase and exchange information, and history blacklist information may be stored in advance in a database (for example, mangoDB) of the big data platform by a data bottoming method, for example, all history transfer information, all history purchase and exchange information of the last year, and blacklist information generated in the last year are imported into the big data platform in batch through a DataX server.
S203, acquiring real-time transfer information, and judging whether the transfer amount is larger than a preset transfer threshold value.
Any real-time transfer information includes a transfer initiator, a transfer receiver, and a transfer amount in one transfer transaction performed in real time. In this embodiment, the real-time transfer information with the transfer amount greater than the preset transfer threshold is used as the first real-time transfer information. Alternatively, the preset transfer threshold may be set as the purchase amount. It will be appreciated that when the transfer amount exceeds the purchase amount, an identification analysis of the real-time transfer information is required.
S204, acquiring first real-time transfer information.
The first real-time transfer information includes a first transfer initiator and a first transfer receiver, and in this embodiment, the real-time transfer information whether the transfer amount is greater than a preset transfer threshold is used as the first real-time transfer information, and the first real-time transfer information is screened to a big data platform.
S205, adding the first transfer receiving party into the history blacklist information to form blacklist information under the condition that the first transfer initiating party is the target transfer party.
S206, in the case that the first transfer initiator is not the target transfer initiator, adding the first real-time transfer information into the history transfer information.
Further, it is judged by the above S202 that the history blacklist information is updated based on the first real-time transfer information.
And S103, under the condition that the blacklist information comprises the purchase and sink sponsor, determining that the purchase and sink sponsor participates in the split purchase and sink behavior.
The embodiment of the application also provides a real-time interception method for the split purchase and sink actions, which comprises the following steps:
s104, under the condition that the purchasing and collecting sponsor participating in the split purchasing and collecting behavior is determined according to the identification method of the split purchasing and collecting behavior of S101-S103, intercepting the purchasing and collecting behavior of the purchasing and collecting sponsor participating in the split purchasing and collecting behavior.
When it is determined that the purchase-sink initiator does not participate in the split purchase-sink behavior in the purchase-sink transaction information, the purchase-sink transaction information is stored as historical purchase-sink transaction information to the big data platform.
According to the technical scheme, in the method for identifying the split purchase and sink actions, the acquired purchase and sink exchange information is real-time transaction information, and the preset blacklist information is acquired based on real-time transfer information, so that for any purchase and sink transaction, whether the purchase and sink initiator participates in the split purchase and sink actions can be identified in real time. In summary, the method and the system for identifying and intercepting the split purchase transaction are carried out in real time, so that the real-time supervision of the purchase transaction is ensured, and the compliance of the purchase transaction is further ensured.
For example, at 11 am on 10.1.2019, the real-time transfer information generated by one real-time transfer transaction T1 initiated by the customer a includes a transfer initiator "customer a", a transfer receiver "customer E", and a transfer amount M "25 ten thousand". Based on the identification method of split and transfer purchase behavior, firstly, the transfer amount in S1 is judged to be 20 ten thousand greater than the purchase amount, and T1 is used as first transfer information to be screened to a big data platform. This embodiment takes n=3, m=2, and x=80% as an example.
Firstly, judging whether the client A is a target transfer party according to the historical blacklist information.
If customer a is not the target transfer party, T1 is added to the history transfer information.
At this time, in this example, there are 4 pieces of history transfer information originated by the customer a in total, respectively T1 (transfer receiver "customer E", transfer amount "20 ten thousand"), T2 (transfer receiver "customer B", transfer amount "25 ten thousand"), T3 (transfer receiver "customer C", transfer amount "20 ten thousand"), and T4 (transfer receiver "customer D", transfer amount "22 ten thousand").
It will be appreciated that the transfer objects of customer a are "customer E", "customer B", "customer C" and "customer D", in an amount of 4, greater than a first value of 3. Further, since the history purchase-sink information G1 (purchase-sink amount "20 ten thousand"), "client B" history purchase-sink information G2 (purchase-sink amount "18 ten thousand"), "client D" history purchase-sink information G3 (purchase-sink amount "20 ten thousand"), and "client D" were obtained based on all the history purchase-sink information, it was found that the number of transfer objects, that is, the target transfer objects, where purchase-sink occurred was 3, greater than the second value 2, and the purchase-sink ratio of the target transfer objects was greater than the third value 80%. Based on this, it is determined that customer a is the target transfer party. And adding the client E, the client B, the client C and the client D to the historical blacklist information, thereby forming blacklist information.
If a client E initiates a purchase and exchange transaction after that, the method acquires the generated purchase and exchange transaction information G4 in real time, and can judge that the client E has a target transfer party, namely the client A according to the pre-generated and stored blacklist information, so the purchase and exchange transaction is intercepted by using the implementation interception method of the split purchase and exchange behavior provided by the embodiment of the application.
For another example, in 2019, 10 months, 1 afternoon, and 2 days afternoon, the method determines that the client a is the target transfer party according to the historical blacklist information, and directly adds the client F into the historical blacklist information to form blacklist information, wherein the real-time transfer information T5 (the transfer receiver "client F" and the transfer amount "20 ten thousand") is generated by one real-time transfer transaction initiated by the client a.
Based on the above examples, the embodiment of the application can update the history blacklist information based on the real-time transfer information to obtain the blacklist information, and can determine whether the initiator of the acquired real-time purchase and exchange information participates in split purchase and exchange based on the blacklist information. In conclusion, the method can intercept real-time purchase and exchange participating in split purchase and exchange in time, ensure the real-time supervision of the purchase and exchange, and further ensure the compliance of the purchase and exchange.
The embodiment of the application also provides a device for identifying the split purchase and sink actions, which is described below, and the device for identifying the split purchase and sink actions described below and the method for identifying the split purchase and sink actions described above can be correspondingly referred to each other.
Referring to fig. 3, a schematic structural diagram of an identification device for split purchase and sink behavior according to an embodiment of the present application is shown, and as shown in fig. 3, the device may include:
a transaction information obtaining unit 301, configured to obtain purchase and exchange information, where the purchase and exchange information includes a purchase and exchange initiator;
a blacklist information obtaining unit 302, configured to obtain preset blacklist information, where the blacklist information is obtained according to real-time transfer information, the blacklist information includes a transfer receiver that meets a preset condition, the preset condition includes a target transfer party, the number of transfer objects of the target transfer party is greater than a preset first value, the number of transfer objects of a purchase-transfer behavior is greater than a preset second value, and a purchase-transfer ratio of the target transfer object is greater than a preset third value, the purchase-transfer ratio is a ratio of a purchase-transfer amount to a transfer amount of the target transfer object, and the target transfer object is any one of the transfer objects of the purchase-transfer behavior;
and the split purchase and sink behavior recognition unit 303 is configured to determine that the purchase and sink initiator participates in the split purchase and sink behavior when the blacklist information includes the purchase and sink initiator.
Optionally, the identification device for split purchase and collection behavior further comprises a blacklist information acquisition unit, which is used for acquiring blacklist information;
the blacklist information acquisition unit is used for acquiring blacklist information, and comprises:
the blacklist information acquisition unit is specifically configured to:
acquiring first real-time transfer information, wherein the first real-time transfer information comprises a first transfer initiator and a first transfer receiver;
and adding the first transfer receiver into the historical blacklist information to form the blacklist information under the condition that the first transfer initiator is determined to be the target transfer party based on the historical blacklist information.
Optionally, the identification device for split purchase and collection behavior further comprises a history blacklist information acquisition unit, which is used for acquiring history blacklist information;
the history blacklist information obtaining unit is configured to obtain history blacklist information, and includes:
the history blacklist information acquisition unit is specifically configured to:
acquiring historical transfer information, wherein the historical transfer information comprises a transfer party, a transfer receiver and a transfer amount;
and for any piece of history transfer information, if the transfer party in the history transfer information is the target transfer party, adding the transfer object of the transfer party into the history blacklist information.
The history blacklist information obtaining unit is configured to add the transfer object of the transfer party to history blacklist information, and includes: the history blacklist information acquisition unit is specifically configured to:
adding all transfer objects of the transfer party into historical blacklist information; or adding the transfer object which does not generate purchase and transfer behavior in the historical blacklist information in the transfer objects of the transfer party.
The history blacklist information obtaining unit is configured to obtain history blacklist information, and includes:
the history blacklist information obtaining unit is specifically further configured to:
and adding the first real-time transfer information to the history transfer information in case that the first transfer initiator is not the target transfer initiator.
Optionally, the blacklist information obtaining unit is configured to obtain first real-time transfer information, including: the blacklist information acquisition unit is specifically configured to:
acquiring real-time transfer information;
and under the condition that the transfer amount in the real-time transfer information is larger than a preset transfer threshold value, taking the real-time transfer information as the first real-time transfer information.
The embodiment of the application also provides a real-time interception device for the split purchase and sink behavior, which comprises an interception unit for intercepting the purchase and sink behavior of the purchase and sink initiator participating in the split purchase and sink behavior under the condition that the purchase and sink initiator participating in the split purchase and sink behavior is determined based on the identification method of the split purchase and sink behavior.
The embodiment of the application also provides a device for identifying the split purchase and sink actions, referring to fig. 4, a schematic structural diagram of the device for identifying the split purchase and sink actions is shown, and the device may include: at least one processor 401, at least one communication interface 402, at least one memory 403, and at least one communication bus 404;
in the embodiment of the present application, the number of the processor 401, the communication interface 402, the memory 403 and the communication bus 404 is at least one, and the processor 401, the communication interface 402 and the memory 403 complete communication with each other through the communication bus 404;
processor 401 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present application, etc.;
the memory 403 may include a high-speed RAM memory, and may further include a non-volatile memory (non-volatile memory), etc., such as at least one magnetic disk memory;
the memory stores a program, and the processor is configured to execute the program, to implement the method for identifying the split purchase and sink behavior in the above embodiment, or to implement each step of the method for intercepting the split purchase and sink behavior in the above embodiment.
The embodiment of the application also provides a storage medium, which can store a computer program suitable for being executed by a processor, and the computer program realizes the identification method of the split purchase and sink behavior in the embodiment or realizes the steps of the real-time interception method of the split purchase and sink behavior in the embodiment.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. 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 application. Thus, the present application 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 (8)
1. The method for identifying the split purchasing behavior is characterized by comprising the following steps of:
acquiring purchase exchange information, wherein the purchase exchange information comprises a purchase exchange initiator;
obtaining preset blacklist information, wherein the blacklist information is obtained according to real-time transfer information, the blacklist information comprises transfer receivers meeting preset conditions, the preset conditions comprise target transfer parties, the number of the target transfer parties is larger than a preset first value, the number of transfer objects with purchase and transfer behaviors is larger than a preset second value, the purchase and transfer ratio of the target transfer objects is larger than a preset third value, the purchase and transfer ratio is the ratio of the purchase and transfer amount of the target transfer objects, and the target transfer objects are any one of the transfer objects with the purchase and transfer behaviors;
under the condition that the blacklist information comprises the purchase and sink initiator, determining that the purchase and sink initiator participates in the split purchase and sink behavior;
the process for acquiring the blacklist information comprises the following steps:
acquiring first real-time transfer information, wherein the first real-time transfer information comprises a first transfer initiator and a first transfer receiver;
adding the first transfer receiver to the history blacklist information to form the blacklist information under the condition that the first transfer initiator is determined to be the target transfer party based on the history blacklist information;
the process for acquiring the history blacklist information comprises the following steps:
acquiring historical transfer information, wherein the historical transfer information comprises a transfer party, a transfer receiver and a transfer amount;
and for any piece of history transfer information, if the transfer party in the history transfer information is the target transfer party, adding the transfer object of the transfer party into the history blacklist information.
2. The method of claim 1, wherein the adding the transfer object of the transfer party to the history blacklist information comprises:
adding all transfer objects of the transfer party into historical blacklist information; or adding the transfer object which does not generate purchase and transfer behavior in the historical blacklist information in the transfer objects of the transfer party.
3. The method of claim 2, wherein the first real-time transfer information is added to the history transfer information in case the first transfer initiator is not the target transfer initiator.
4. The method of claim 1, wherein the acquiring the first real-time transfer information comprises:
acquiring real-time transfer information;
and under the condition that the transfer amount in the real-time transfer information is larger than a preset transfer threshold value, taking the real-time transfer information as the first real-time transfer information.
5. The real-time interception method for the split purchase and collection behavior is characterized by comprising the following steps of:
determining a sink sponsor participating in the split sink behavior by using the method for identifying the split sink behavior according to any one of claims 1 to 4;
and intercepting the purchase and exchange behavior of the purchase and exchange initiator participating in the split purchase and exchange behavior.
6. An identification device for split purchase and sink actions, comprising:
the transaction information acquisition unit is used for acquiring purchase and exchange information, wherein the purchase and exchange information comprises a purchase and exchange initiator;
the blacklist information acquisition unit is used for acquiring preset blacklist information, the blacklist information is acquired according to real-time transfer information, the blacklist information comprises transfer receivers meeting preset conditions, the preset conditions comprise a target transfer party, the number of transfer objects of the target transfer party is larger than a preset first value, the number of transfer objects of a purchase and transfer behavior is larger than a preset second value, the purchase and transfer ratio of the target transfer object is larger than a preset third value, the purchase and transfer ratio is the ratio of the purchase and transfer amount of the target transfer object, and the target transfer object is any one of transfer objects of the purchase and transfer behavior;
the split purchase and sink behavior recognition unit is used for determining that the purchase and sink initiator participates in split purchase and sink behavior under the condition that the blacklist information comprises the purchase and sink initiator;
the process for acquiring the blacklist information comprises the following steps:
acquiring first real-time transfer information, wherein the first real-time transfer information comprises a first transfer initiator and a first transfer receiver;
adding the first transfer receiver to the history blacklist information to form the blacklist information under the condition that the first transfer initiator is determined to be the target transfer party based on the history blacklist information;
the process for acquiring the history blacklist information comprises the following steps:
acquiring historical transfer information, wherein the historical transfer information comprises a transfer party, a transfer receiver and a transfer amount;
and for any piece of history transfer information, if the transfer party in the history transfer information is the target transfer party, adding the transfer object of the transfer party into the history blacklist information.
7. An identification device for split purchase and sink actions, comprising: a memory and a processor;
the memory is used for storing programs;
the processor is configured to execute the program to implement the method for identifying the split purchase and sink behavior according to any one of claims 1 to 4 or implement the steps of the method for intercepting the split purchase and sink behavior in real time according to claim 5.
8. A storage medium having a computer program stored thereon, which, when executed by a processor, implements the method of identifying split purchase and sink actions according to any one of claims 1 to 4 or the steps of the method of intercepting split purchase and sink actions in real time according to claim 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911418172.XA CN111178914B (en) | 2019-12-31 | 2019-12-31 | Method, device, equipment and storage medium for identifying split purchase and sink behaviors |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911418172.XA CN111178914B (en) | 2019-12-31 | 2019-12-31 | Method, device, equipment and storage medium for identifying split purchase and sink behaviors |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111178914A CN111178914A (en) | 2020-05-19 |
| CN111178914B true CN111178914B (en) | 2023-09-22 |
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| KR101765093B1 (en) * | 2017-02-06 | 2017-08-04 | (주)소프트기획 | Providing real-time sales promotion management service through analysis of purchasing behavior patterns of connected customers |
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| CN110020865A (en) * | 2019-01-17 | 2019-07-16 | 阿里巴巴集团控股有限公司 | Transaction identification method and device |
| CN110472956A (en) * | 2019-08-16 | 2019-11-19 | 中国银行股份有限公司 | Decouple pay behavior real-time detection method and device |
| CN110619574A (en) * | 2019-09-23 | 2019-12-27 | 中国工商银行股份有限公司 | Remittance data processing method, remittance data processing apparatus, electronic device, and storage medium |
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| CN110020865A (en) * | 2019-01-17 | 2019-07-16 | 阿里巴巴集团控股有限公司 | Transaction identification method and device |
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