CN111178914A - Method, device, equipment and storage medium for identifying splitting and purchasing behavior - Google Patents
Method, device, equipment and storage medium for identifying splitting and purchasing behavior Download PDFInfo
- Publication number
- CN111178914A CN111178914A CN201911418172.XA CN201911418172A CN111178914A CN 111178914 A CN111178914 A CN 111178914A CN 201911418172 A CN201911418172 A CN 201911418172A CN 111178914 A CN111178914 A CN 111178914A
- Authority
- CN
- China
- Prior art keywords
- transfer
- information
- purchasing
- money
- real
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Technology Law (AREA)
- Entrepreneurship & Innovation (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The method for identifying the split and forward purchasing behaviors comprises the steps that acquired forward purchasing transaction information is real-time transaction information, and preset blacklist information is acquired based on real-time transfer information. In conclusion, the method and the system for identifying and intercepting the splitting and purchasing actions are carried out in real time, so that the real-time supervision of the purchasing transaction is guaranteed, and the compliance of the purchasing transaction is further guaranteed.
Description
Technical Field
The present application relates to the field of information identification, and more particularly, to a method, an apparatus, a device, and a storage medium for identifying a split and buy-to-exchange behavior.
Background
The foreign exchange is aimed at domestic citizens, and the money amount of each person is 5 ten thousand dollars each year. The splitting and buying of money is the behavior that an individual client occupies the money of other people to buy money by dividing and transferring RMB to a plurality of clients. The split-remittance purchasing behavior is an illegal financial transaction behavior, but in the prior art, the split-remittance purchasing behavior cannot be identified in real time, so that the illegal remittance purchasing transaction cannot be intercepted in time.
Disclosure of Invention
In view of this, the present application provides a method, an apparatus, a device and a storage medium for identifying a split and buy-to-exchange behavior, which are used for identifying the split and buy-to-exchange behavior in real time, and the method includes the following steps:
a method for identifying a split and buy-to-exchange behavior comprises the following steps:
acquiring the transaction information of purchasing a money, wherein the transaction information of purchasing the money comprises a money purchasing initiator;
the method comprises the steps of 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 that a target transfer party is provided, the target transfer party is that the number of transfer objects is larger than a preset first numerical value, the number of transfer objects with the money purchasing behavior is larger than a preset second numerical value, the money purchasing proportion of the target transfer object is larger than a preset third numerical value, the money purchasing proportion is the ratio of the money purchasing amount and the transfer amount of the target transfer object, and the target transfer object is any one of the transfer objects with the money purchasing behavior;
and under the condition that the blacklist information comprises the purchasing remittance initiator, determining that the purchasing remittance initiator participates in the splitting purchasing remittance 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 under the condition that the first transfer initiator is determined to be the target transfer party based on historical blacklist information, adding the first transfer receiver into the historical blacklist information to form the blacklist information.
Optionally, the obtaining process of the history blacklist information includes:
obtaining historical transfer information, wherein the historical transfer information comprises a transfer party, a transfer receiving party and a transfer amount;
and for any piece of historical transfer information, if the transfer party in the historical transfer information is the target transfer party, adding the transfer object of the transfer party into historical blacklist information.
Optionally, adding the transfer object of the transfer party to historical blacklist information, including:
adding all transfer objects of the transfer party into historical blacklist information; or adding transfer objects without the money purchasing behavior into historical blacklist information in the transfer objects of the transfer party.
Optionally, in a case that the first transfer initiator is not the target transfer party, adding the first real-time transfer information to the historical transfer information.
Optionally, the obtaining of 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 a split transaction behavior comprises the following steps:
determining a buying party participating in the split buying act using the method of identifying split buying act of any of claims 1-6;
and intercepting the money purchasing behavior of the money purchasing initiator participating in the split money purchasing behavior.
An apparatus for identifying a split-buy transaction, comprising:
the transaction information acquisition unit is used for acquiring the transaction information of purchasing the money, wherein the transaction information of purchasing the money comprises a money purchasing initiator;
the system comprises a blacklist information acquisition unit, a blacklist information acquisition unit and a transfer control unit, wherein the blacklist information acquisition unit is used for acquiring preset blacklist information according to real-time transfer information, the blacklist information comprises a transfer receiving party meeting preset conditions, the preset conditions comprise a target transfer party, the target transfer party is a transfer object, the number of the transfer objects is larger than a preset first value, the number of the transfer objects with the transfer purchasing behavior is larger than a preset second value, the transfer purchasing ratio of the target transfer object is larger than a preset third value, the transfer purchasing ratio is the ratio of the transfer amount of the target transfer object to the transfer amount, and the target transfer object is any one of the transfer objects with the transfer purchasing behavior;
and the splitting and purchasing behavior identification unit is used for determining that the purchasing and purchasing initiator participates in splitting and purchasing behavior under the condition that the blacklist information comprises the purchasing and purchasing initiator.
An identification device for split buying behavior, comprising: a memory and a processor;
the memory is used for storing programs;
the processor is configured to execute the program, and implement the method for identifying the split-purchase remittance behavior or implement the steps of the method for intercepting the split-purchase remittance behavior in real time as described above.
A storage medium having stored thereon a computer program which, when executed by a processor, implements the method of identifying a split-buy remittance as described above or implements the steps of the method of real-time interception of a split-buy remittance as described above.
According to the technical scheme, the obtained money and money purchasing transaction information is real-time transaction information, and the preset blacklist information is obtained based on the real-time transfer information, so that whether the money and money purchasing initiator participates in the money and money purchasing behavior can be identified in real time for any money and money purchasing transaction. In conclusion, the method and the system for identifying and intercepting the splitting and purchasing actions are carried out in real time, so that the real-time supervision of the purchasing transaction is guaranteed, and the compliance of the purchasing transaction is further guaranteed.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, 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 method for identifying a split and buy sink behavior according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for acquiring blacklist information according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an apparatus for identifying a split purchasing act according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an apparatus for identifying a split purchase transfer behavior according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The method for identifying the split and purchase exchange behaviors provided by the embodiment of the application can be realized in the following manner: the method is implemented based on a big data platform, wherein the big data platform at least comprises a database (MongoDB) based on distributed file storage, and the database is used for storing blacklist information, historical transfer purchasing 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 schematic flow chart of a method for identifying a split-buy-to-exchange behavior provided in an embodiment of the present application, and as shown in fig. 1, the method specifically includes:
s101, obtaining the transaction information of purchasing the money.
Wherein the transaction information includes the origin of the transaction. In this embodiment, each transaction information of purchasing money is sent to the big data platform in real time in a SOCKET manner.
And S102, acquiring preset blacklist information.
And acquiring preset blacklist information according to the real-time transfer information. In this embodiment, the preset conditions include that the target transfer party is provided, the target transfer party is a transfer object, the number of the transfer objects is greater than a preset first value, the number of the transfer objects with the money purchasing behavior is greater than a preset second value, and the money purchasing proportion of the target transfer object is greater than a preset third value. The money purchasing proportion is the ratio of the money purchasing amount of the target transfer object to the transfer amount, and the target transfer object is any one of transfer objects with money purchasing behaviors.
Specifically, the preset blacklist information may be obtained by updating historical blacklist information according to the real-time transfer information, wherein the historical blacklist information is obtained according to the historical transfer information. Fig. 2 is a schematic flow diagram of a method for acquiring blacklist information according to an embodiment of the present application, and it should be noted that, in the embodiment of the present application, a preset first value is n, a preset second value is m, and a preset third value is x, which may specifically include, as shown in fig. 2:
s201, obtaining historical account transfer information, wherein the historical account transfer information comprises an account transfer party, an account transfer receiving party and an account transfer amount.
For example, a historical transfer transaction initiated by customer a, a transfers 20 ten thousand to customer B's account. The piece of historical transfer information L1 includes: the transfer party is customer a, the transfer recipient 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 historical blacklist information.
It is understood that the transfer party satisfying the preset condition is the target transfer party. Specifically, the process of determining whether the transfer party of any one of the historical transfer information is the target transfer party may include:
and S1, judging whether the number of transfer objects of the transfer party is greater than n or not based on all the historical transfer information, wherein the transfer objects are transfer receivers included in the historical transfer transactions of the transfer transactions initiated by the transfer party.
And S2, if the number of the transfer objects of the transfer party is more than n, judging whether the number of the transfer objects with the money purchasing behavior is more than m or not based on the historical money purchasing transaction 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 more than m, judging whether the ratio of the transfer amount to the transfer amount of any transfer object with the transfer purchasing behavior (namely the purchasing ratio) is more than x.
And S4, if the ratio of the purchase to the exchange 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 the above-mentioned S1 to S4, and in this embodiment, further, all transfer objects of the target transfer party are added to blacklist information, or transfer objects except the target transfer object among all transfer objects of the target transfer party are added to historical blacklist information. Namely, transfer objects which do not generate the action of purchasing transfers are added into the history blacklist information.
In this embodiment, all the historical transfer information and all the historical money purchase transaction information are pre-stored in the database (e.g., the mangoDB) of the big data platform.
It should be noted that all the above-mentioned historical transfer information, all the historical transfer purchase transaction information and the historical blacklist information may be pre-stored in a database (e.g. mangoDB) of the big data platform by a data-base method, for example, all the historical transfer information, all the historical transfer purchase transaction information and the blacklist information generated in the previous year are batch-imported into the big data platform through a DataX server.
S203, obtaining 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 originator, a transfer recipient, and a transfer amount in a transfer transaction performed in real time. In this embodiment, the real-time transfer information that the transfer amount is larger than the preset transfer threshold value is used as the first real-time transfer information. Alternatively, the preset transfer threshold may be set to the purchase amount. It will be appreciated that the real-time transfer information needs to be identified and analyzed when the transfer amount exceeds the purchase amount.
And S204, acquiring first real-time transfer information.
The first real-time transfer information comprises a first transfer initiator and a first transfer receiver, and in the embodiment, the real-time transfer information which indicates whether the transfer amount is larger than a preset transfer threshold value is used as the first real-time transfer information to be screened to the big data platform.
S205, under the condition that the first transfer initiator is the target transfer party, adding the first transfer receiver into the historical blacklist information to form blacklist information.
S206, under the condition that the first transfer initiator is not the target transfer party, adding the first real-time transfer information into the historical 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.
S103, under the condition that the blacklist information comprises the money and money buying initiator, the money and money buying initiator is determined to participate in the money and money splitting and purchasing behavior.
The embodiment of the application also provides a real-time intercepting method for the splitting and purchasing behavior, which comprises the following steps:
and S104, intercepting the purchasing behavior of the purchasing party participating in the splitting and purchasing behavior under the condition that the purchasing party participating in the splitting and purchasing behavior is determined according to the splitting and purchasing behavior identification method of S101-S103.
It should be noted that when it is determined that the money purchasing initiator does not participate in the splitting and purchasing actions in the money purchasing transaction information, the money purchasing transaction information is stored to the big data platform as the historical money purchasing transaction information.
According to the technical scheme, the obtained money and money purchasing transaction information is real-time transaction information, and the preset blacklist information is obtained based on the real-time transfer information, so that whether the money and money purchasing initiator participates in the money and money purchasing behavior can be identified in real time for any money and money purchasing transaction. In conclusion, the method and the system for identifying and intercepting the splitting and purchasing actions are carried out in real time, so that the real-time supervision of the purchasing transaction is guaranteed, and the compliance of the purchasing transaction is further guaranteed.
For example, the real-time transfer information generated by a real-time transfer transaction T1 initiated by customer A at 11 am on 10/1/2019 includes a transfer originator "customer A", a transfer recipient "customer E", and a transfer amount M "25 ten thousand". Based on the identification method of the splitting remittance purchasing behavior, the transfer amount in S1 is judged to be larger than the purchasing remittance amount by 20 ten thousand, and T1 is used as first transfer information to be screened to a big data platform. In this embodiment, n is 3, m is 2, and x is 80%.
Firstly, whether the client A is a target transfer party is judged according to historical blacklist information.
In the case where the client a is not the target transfer party, T1 is added to the history transfer information.
At this time, in this example, the historical transfer information originated by the customer a has 4 pieces in total, which are T1 (transfer recipient "customer E", transfer amount "20 ten thousand"), T2 (transfer recipient "customer B", transfer amount "25 ten thousand"), T3 (transfer recipient "customer C", transfer amount "20 ten thousand"), and T4 (transfer recipient "customer D", transfer amount "22 ten thousand"), respectively.
It will be appreciated that the transfer objects for customer A are "customer E", "customer B", "customer C" and "customer D", and are 4 in number, greater than the first value of 3. Further, since the historical money purchase information G1 (money amount "20 ten thousand") of "customer B", "the historical money purchase information G2 (money amount" 18 ten thousand ") of" customer C ", and the historical money purchase information G3 (money amount" 20 ten thousand ") of" customer D "are obtained based on all the historical money purchase transaction information, it can be seen that the number of target transfer objects as transfer objects for which a money purchase transaction occurs is 3, which is greater than the second value 2, and the money purchase ratio of the target transfer objects is greater than the third value 80%. Based on this, it is determined that customer A is the target transferor. Client E, client B, client C, and client D are each added to the historical blacklist information, thereby forming blacklist information.
If the customer E initiates a money purchasing transaction later, the method obtains the generated money purchasing transaction information G4 in real time, and can judge that the customer E has a target transfer party, i.e., the customer a, according to the pre-generated and stored blacklist information, so the implementation interception method for splitting and purchasing the money is used for intercepting the money purchasing transaction.
For another example, when the account is transferred in real time at 2 pm on 1/10/2019, the client a initiates real-time account transfer transaction T5 (account transfer receiver "client F", account transfer amount "20 ten thousand"), the method determines the client a as the target account transfer party according to the history blacklist information, and directly adds the client F to the history blacklist information to form the blacklist information.
Based on the above example, it can be seen that the embodiment of the application can update the historical blacklist information based on the real-time transfer information to obtain the blacklist information, and can determine whether the initiator of the obtained real-time money purchasing transaction information participates in money splitting and purchasing based on the blacklist information. In conclusion, the method can intercept the real-time purchasing transaction participating in the splitting and purchasing of the money in time, ensure the real-time supervision of the purchasing transaction and further ensure the compliance of the purchasing transaction.
The device for identifying the split and buy-to-exchange behavior provided by the embodiment of the present application is described below, and the device for identifying the split and buy-to-exchange behavior described below and the method for identifying the split and buy-to-exchange behavior described above may be referred to in correspondence with each other.
Referring to fig. 3, a schematic structural diagram of an apparatus for identifying a split-purchase transaction according to an embodiment of the present application is shown, and as shown in fig. 3, the apparatus may include:
a transaction information obtaining unit 301, configured to obtain a transaction information for purchasing money, where the transaction information for purchasing money includes a money purchasing 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 transfer recipients meeting preset conditions, the preset conditions include that a target transfer party is provided, the target transfer party is that the number of transfer objects is greater than a preset first value, the number of transfer objects where a money purchase behavior occurs is greater than a preset second value, a money purchase ratio of the target transfer object is greater than a preset third value, the money purchase ratio is a ratio of a money purchase amount to a transfer amount of the target transfer object, and the target transfer object is any one of the transfer objects where the money purchase behavior occurs;
a splitting and purchasing behavior identification unit 303, configured to determine that the purchasing party participates in splitting and purchasing behavior when the blacklist information includes the purchasing party.
Optionally, the device for identifying the splitting and purchasing act further includes a blacklist information obtaining unit, configured to obtain blacklist information;
the blacklist information acquisition unit is used for acquiring blacklist information and comprises the following steps:
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 under the condition that the first transfer initiator is determined to be the target transfer party based on historical blacklist information, adding the first transfer receiver into the historical blacklist information to form the blacklist information.
Optionally, the device for identifying the splitting and purchasing act further includes a history blacklist information obtaining unit, configured to obtain history blacklist information;
the history blacklist information acquisition unit is used for acquiring history blacklist information and comprises the following steps:
the history blacklist information obtaining unit is specifically configured to:
obtaining historical transfer information, wherein the historical transfer information comprises a transfer party, a transfer receiving party and a transfer amount;
and for any piece of historical transfer information, if the transfer party in the historical transfer information is the target transfer party, adding the transfer object of the transfer party into historical blacklist information.
The history blacklist information acquisition unit is used for adding the transfer object of the transfer party into history blacklist information, and comprises the following steps: the history blacklist information obtaining unit is specifically configured to:
adding all transfer objects of the transfer party into historical blacklist information; or adding transfer objects without the money purchasing behavior into historical blacklist information in the transfer objects of the transfer party.
The history blacklist information acquisition unit is used for acquiring history blacklist information and comprises the following steps:
the history blacklist information obtaining unit is further specifically configured to:
and under the condition that the first transfer initiator is not the target transfer party, adding the first real-time transfer information into the historical transfer information.
Optionally, the blacklist information obtaining unit is configured to obtain first real-time transfer information, and includes: 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 further provides a real-time intercepting device for the split-and-buy-to-exchange behavior, which comprises an intercepting unit, wherein the intercepting unit is used for intercepting the exchange purchasing behavior of the exchange purchasing initiator participating in the split-and-buy-to-exchange behavior under the condition that the exchange purchasing initiator participating in the split-and-buy-to-exchange behavior is determined based on the recognition method of the split-and-buy-to-exchange behavior.
An embodiment of the present application further provides an apparatus for identifying a split and purchase transfer behavior, please refer to fig. 4, which shows a schematic structural diagram of the apparatus for identifying a split and purchase transfer behavior, where the apparatus 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;
the processor 401 may be a central processing unit CPU, or an application specific Integrated Circuit ASIC (application specific Integrated Circuit), or one or more Integrated circuits configured to implement embodiments of the present invention, or the like;
the memory 403 may include a high-speed RAM memory, and may further include a non-volatile memory (non-volatile memory) or the like, such as at least one disk memory;
the memory stores a program, and the processor is configured to execute the program, to implement the method for identifying the split-buy-to-exchange behavior in the above embodiment, or to implement the steps of the method for intercepting the split-buy-to-exchange behavior in the above embodiment in real time.
Embodiments of the present application further provide a storage medium, where the storage medium may store a computer program suitable for being executed by a processor, and when the computer program is executed by the processor, the computer program implements the method for identifying a split-purchase remittance behavior in the above embodiments or implements the steps of the method for intercepting a split-purchase remittance behavior in real time in the above embodiments.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be 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. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred 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 (10)
1. A method for identifying a split and exchange purchasing behavior is characterized by comprising the following steps:
acquiring the transaction information of purchasing a money, wherein the transaction information of purchasing the money comprises a money purchasing initiator;
the method comprises the steps of 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 that a target transfer party is provided, the target transfer party is that the number of transfer objects is larger than a preset first numerical value, the number of transfer objects with the money purchasing behavior is larger than a preset second numerical value, the money purchasing proportion of the target transfer object is larger than a preset third numerical value, the money purchasing proportion is the ratio of the money purchasing amount and the transfer amount of the target transfer object, and the target transfer object is any one of the transfer objects with the money purchasing behavior;
and under the condition that the blacklist information comprises the purchasing remittance initiator, determining that the purchasing remittance initiator participates in the splitting purchasing remittance behavior.
2. The method of claim 1, wherein the obtaining of the blacklist information comprises:
acquiring first real-time transfer information, wherein the first real-time transfer information comprises a first transfer initiator and a first transfer receiver;
and under the condition that the first transfer initiator is determined to be the target transfer party based on historical blacklist information, adding the first transfer receiver into the historical blacklist information to form the blacklist information.
3. The method of claim 2, wherein the obtaining of the history blacklist information comprises:
obtaining historical transfer information, wherein the historical transfer information comprises a transfer party, a transfer receiving party and a transfer amount;
and for any piece of historical transfer information, if the transfer party in the historical transfer information is the target transfer party, adding the transfer object of the transfer party into historical blacklist information.
4. The method as recited in claim 3, wherein the adding the transfer object of the transfer party to historical blacklist information comprises:
adding all transfer objects of the transfer party into historical blacklist information; or adding transfer objects without the money purchasing behavior into historical blacklist information in the transfer objects of the transfer party.
5. The method as recited in claim 4 wherein the first real-time transfer information is added to the historical transfer information in the event that the first transfer originator is not the target transfer party.
6. The method of claim 2, wherein obtaining 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.
7. A real-time interception method for a split transaction behavior is characterized by comprising the following steps:
determining a buying party participating in the split buying act using the method of identifying split buying act of any of claims 1-6;
and intercepting the money purchasing behavior of the money purchasing initiator participating in the split money purchasing behavior.
8. An apparatus for identifying a split-buy transaction, comprising:
the transaction information acquisition unit is used for acquiring the transaction information of purchasing the money, wherein the transaction information of purchasing the money comprises a money purchasing initiator;
the system comprises a blacklist information acquisition unit, a blacklist information acquisition unit and a transfer control unit, wherein the blacklist information acquisition unit is used for acquiring preset blacklist information according to real-time transfer information, the blacklist information comprises a transfer receiving party meeting preset conditions, the preset conditions comprise a target transfer party, the target transfer party is a transfer object, the number of the transfer objects is larger than a preset first value, the number of the transfer objects with the transfer purchasing behavior is larger than a preset second value, the transfer purchasing ratio of the target transfer object is larger than a preset third value, the transfer purchasing ratio is the ratio of the transfer amount of the target transfer object to the transfer amount, and the target transfer object is any one of the transfer objects with the transfer purchasing behavior;
and the splitting and purchasing behavior identification unit is used for determining that the purchasing and purchasing initiator participates in splitting and purchasing behavior under the condition that the blacklist information comprises the purchasing and purchasing initiator.
9. An apparatus for identifying a split buying act, comprising: a memory and a processor;
the memory is used for storing programs;
the processor is configured to execute the program, and implement the method for identifying a repurchase act according to any one of claims 1 to 6 or implement the steps of the method for intercepting a repurchase act according to claim 7 in real time.
10. A storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, performs the steps of the method for identifying a split purchase transaction as claimed in any one of claims 1 to 6 or the method for real-time interception of a split purchase transaction as claimed in claim 7.
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 true CN111178914A (en) | 2020-05-19 |
| CN111178914B CN111178914B (en) | 2023-09-22 |
Family
ID=70654328
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911418172.XA Active CN111178914B (en) | 2019-12-31 | 2019-12-31 | Method, device, equipment and storage medium for identifying split purchase and sink behaviors |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111178914B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN109767076A (en) * | 2018-12-17 | 2019-05-17 | 平安科技（深圳）有限公司 | The generation of blacklist and screening method, device, computer equipment and storage medium |
| 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 |
-
2019
- 2019-12-31 CN CN201911418172.XA patent/CN111178914B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN109767076A (en) * | 2018-12-17 | 2019-05-17 | 平安科技（深圳）有限公司 | The generation of blacklist and screening method, device, computer equipment and storage medium |
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111178914B (en) | 2023-09-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107392722B (en) | Order processing method and device, electronic equipment and storage medium | |
| CN109949046B (en) | Identification method and device for risk group partner | |
| CN108269087B (en) | Method and device for processing position information | |
| CN110414567B (en) | Data processing method and device and electronic equipment | |
| EP3797396A1 (en) | Blockchain transaction safety | |
| CN109886694B (en) | Data processing method and device based on block chain and electronic equipment | |
| WO2016015444A1 (en) | Target user determination method, device and network server | |
| CN111026536B (en) | Task processing method and device based on trust fusion evaluation and edge node | |
| TWI706362B (en) | Data processing method, device and server based on blockchain | |
| CN108134944B (en) | Identification method and device for anchor user with abnormal income and electronic equipment | |
| CN109922070B (en) | Automatic reply method and device | |
| CN110795471A (en) | Data matching method and device, computer readable storage medium and electronic equipment | |
| JP2014206791A (en) | Social network information processor, processing method, and processing program | |
| CN110610365A (en) | Method and device for identifying transaction request | |
| CN111178914A (en) | Method, device, equipment and storage medium for identifying splitting and purchasing behavior | |
| JP6294193B2 (en) | Transaction management system and transaction management method | |
| CN115859187A (en) | Object identification method and device, electronic equipment and storage medium | |
| CN109582829B (en) | Processing method, device, equipment and readable storage medium | |
| CN110750238A (en) | Method and device for determining product requirements and electronic equipment | |
| CN110955681B (en) | Information processing method and device, electronic equipment and storage medium | |
| CN113469699A (en) | Transfer processing method and device | |
| CN105654379B (en) | Abnormal account moving processing method and device | |
| CN113312582B (en) | Media data delivery method | |
| CN117575803A (en) | Object recommendation method and device, electronic equipment and storage medium | |
| CN113077342B (en) | Method and device for cross-border data use based on block chain |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |