CN112085240A - Method and system for processing transaction data of first-order commodities - Google Patents
Method and system for processing transaction data of first-order commodities Download PDFInfo
- Publication number
- CN112085240A CN112085240A CN202011039195.2A CN202011039195A CN112085240A CN 112085240 A CN112085240 A CN 112085240A CN 202011039195 A CN202011039195 A CN 202011039195A CN 112085240 A CN112085240 A CN 112085240A
- Authority
- CN
- China
- Prior art keywords
- user
- transaction
- commodity
- sign
- information
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 58
- 238000012545 processing Methods 0.000 title claims abstract description 38
- 238000004590 computer program Methods 0.000 claims description 17
- 238000000605 extraction Methods 0.000 claims description 14
- 230000010365 information processing Effects 0.000 claims description 12
- 238000012790 confirmation Methods 0.000 claims description 9
- 238000013145 classification model Methods 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 5
- 239000000284 extract Substances 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 13
- 230000008569 process Effects 0.000 description 12
- 230000000694 effects Effects 0.000 description 8
- 230000002159 abnormal effect Effects 0.000 description 7
- 230000006870 function Effects 0.000 description 6
- 230000002147 killing effect Effects 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 230000002452 interceptive effect Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000003672 processing method Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 230000036961 partial effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 230000002829 reductive effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
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
- G06Q10/00—Administration; Management
- G06Q10/02—Reservations, e.g. for tickets, services or events
-
- 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0621—Item configuration or customization
-
- 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Resources & Organizations (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a method and a system for processing transaction data of a first-time purchased commodity, wherein the method comprises the following steps: receiving commodity transaction data of a user within a predetermined time period of an appointment; determining user information according to commodity transaction data of a user, and determining a sign range according to the user information; after the reservation is finished, a reservation sequence is formed according to the sign ranges of all users, the target user is randomly extracted according to the reservation sequence, and commodity purchasing success information is sent to the target user to complete commodity transaction.
Description
Technical Field
The invention relates to the technical field of electronic transaction, in particular to a method and a system for processing transaction data of a first-aid-purchase commodity.
Background
The marketing activities of the current shopping malls are various, the number of activity participants is large, and for some low-price activities, a shopping mode is often adopted, but on one hand, the participation time of customers is too short, a large number of accesses in a short time easily cause the collapse of shopping software, the customer experience is reduced, on the other hand, various tools can be cheated on the market, the current shopping changing mode cannot effectively eliminate the behavior of commodity shopping through cheating, and the fairness of commodity shopping cannot be ensured.
Disclosure of Invention
One object of the present invention is to provide a method for processing data of a commodity transaction for a first-time purchase, which alleviates the pressure of the first-time purchase of a system, prevents various cheating software from interfering with the commodity transaction process, and improves the user experience. Another object of the present invention is to provide a data processing system for the transaction of the first-time purchase of goods. It is a further object of this invention to provide such a computer apparatus. It is a further object of this invention to provide such a readable medium.
In order to achieve the above object, the present invention discloses a method for processing data of a commodity transaction for a first-time purchase, which comprises:
receiving commodity transaction data of a user within a predetermined time period of an appointment;
determining user information according to commodity transaction data of a user, and determining a sign range according to the user information;
after the reservation is finished, a reservation sequence is formed according to the sign ranges of all users, a target user is randomly extracted according to the reservation sequence, and commodity purchasing success information is sent to the target user to complete commodity transaction.
Preferably, the obtaining user information according to the purchase request of the user, and the determining the sign-in range according to the user information specifically includes:
determining user information according to commodity transaction data of a user;
analyzing the user information to obtain the customer grade of the user, and determining the transaction weight of the user according to the customer grade of the user;
and determining the sign-off range of the user transaction according to the transaction weight and the corresponding relation between the transaction weight and the sign-off range.
Preferably, the method further comprises the step of predetermining the customer rating:
acquiring a transaction record in a preset time period of a user;
determining the transaction number and the transaction amount of the user within a preset time period according to the transaction record;
and determining the customer grade of the user according to the preset customer grade classification model according to the transaction number and the transaction amount.
Preferably, the forming of the reservation sequence according to the sign number ranges of all the users specifically includes:
determining a user sequence according to the front and back sequence of commodity transaction data sent by all users;
determining a sign sequence according to the user sequence, a preset initial sign and a sign range of the user;
and marking the sign numbers in the sign number sequence according to the sign number range of each user to form a reservation sequence.
Preferably, the randomly extracting the target user according to the reservation sequence specifically includes:
randomly extracting target sign numbers corresponding to the quantity of the purchased commodities from the reservation sequence;
and determining the user corresponding to the target sign number as a target user.
Preferably, the method further comprises the following steps:
forming order information and payment information according to confirmation information fed back by the user based on the commodity purchase success information;
and sending the order information and the payment information to a third party payment platform and a user to complete commodity payment.
Preferably, the method further comprises the following steps:
forming ordering information according to confirmation information fed back by the user based on the commodity purchasing success information;
and modifying the commodity stock information in the inventory system according to the order information.
Preferably, the method further comprises the following steps:
and detecting the reservation sequence according to a preset check rule to determine whether the illegal user exists.
The invention also discloses a data processing system for the transaction of the first-time purchased commodities, which comprises:
the information receiving module is used for receiving commodity transaction data of a user in a reserved preset time period;
the information processing module is used for determining user information according to commodity transaction data of a user and determining a sign range according to the user information;
and the random extraction module is used for forming an appointment sequence according to the sign number ranges of all users after the appointment, randomly extracting a target user according to the appointment sequence, and sending commodity purchase success information to the target user to complete commodity transaction.
Preferably, the information processing module is specifically configured to determine user information according to commodity transaction data of a user; analyzing the user information to obtain the customer grade of the user, and determining the transaction weight of the user according to the customer grade of the user; and determining the sign-off range of the user transaction according to the transaction weight and the corresponding relation between the transaction weight and the sign-off range.
Preferably, the system further comprises a user information processing module, which is used for acquiring the transaction record in a preset time period of the user in advance; determining the transaction number and the transaction amount of the user within a preset time period according to the transaction record; and determining the customer grade of the user according to the preset customer grade classification model according to the transaction number and the transaction amount.
Preferably, the random extraction module is specifically configured to determine a user sequence according to a front-back sequence in which all users send commodity transaction data; determining a sign sequence according to the user sequence, a preset initial sign and a sign range of the user; and marking the sign numbers in the sign number sequence according to the sign number range of each user to form a reservation sequence.
Preferably, the random extraction module is specifically configured to randomly extract a target sign number corresponding to the number of the first-purchased commodities from the reservation sequence; and determining the user corresponding to the target sign number as a target user.
Preferably, the system further comprises an anomaly detection module for detecting the reservation sequence according to a preset check rule to determine whether the illegal user exists.
The invention also discloses a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor,
the processor, when executing the program, implements the method as described above.
The invention also discloses a computer-readable medium, having stored thereon a computer program,
which when executed by a processor implements the method as described above.
The invention receives the commodity transaction data of the user in the preset time period by setting the preset time period. After the reservation is finished, determining user information requesting to purchase the commodity according to commodity transaction data of the user received within a predetermined time period, and setting a sign range for each user. Therefore, a reservation sequence is formed according to the sign ranges of all users, and the purpose of randomly extracting target users from all users requesting to purchase commodities to conduct commodity transaction is achieved through random extraction from the reservation sequence. Therefore, the invention can relieve the pressure of system shopping, prevent various cheating software from interfering the commodity transaction process, improve the user experience, guide the user to participate in the commodity shopping activity and realize the aim of client drainage.
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 some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a data processing method for a first-time purchase of a commodity according to an embodiment of the present invention;
fig. 2 is a flowchart of a data processing method for a first-time purchase of a commodity according to a specific embodiment S200 of the present invention;
FIG. 3 is a flow chart of a specific embodiment S000 of the method for processing the transaction data of the first-time-purchased commodities;
FIG. 4 is a flow chart of the reservation sequence formed by the first embodiment S300 of the data processing method for the first-time-purchase commodity transaction according to the present invention;
fig. 5 shows a flow chart of random drawing of a specific embodiment S300 of the method for processing data of a pre-purchased commodity transaction according to the present invention;
fig. 6 shows a flowchart of a specific embodiment S400 of the method for processing data of a pre-purchased commodity transaction according to the present invention;
fig. 7 shows a flowchart of a specific embodiment S500 of the method for processing data of a first-time-purchase commodity transaction according to the present invention;
FIG. 8 is a block diagram illustrating one embodiment of a data processing system for a first-time purchase of goods in accordance with the present invention;
FIG. 9 is a block diagram of a data processing system for a first-time purchase of goods according to an embodiment of the present invention, which includes a user information processing module;
FIG. 10 is a block diagram of a data processing system for a first-time purchase of goods according to an embodiment of the present invention, including an anomaly detection module;
FIG. 11 illustrates a schematic block diagram of a computer device suitable for use in implementing embodiments of the present invention.
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 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 invention.
At present, when the commodities are sold in the online shopping mall, the commodities are generally promoted through marketing modes such as rush purchase, killing in seconds and the like. However, when the user changes the shopping and kills the goods in seconds, the access amount of the online shopping mall is increased sharply in a short time, huge pressure is caused on the system of the online shopping mall, the system is easy to crash, and meanwhile, the user can be simulated to access the goods for the first purchase through simple cheating software. The above problems all affect the commodity transaction process and reduce the user experience. Therefore, the invention takes the time of the change and the second killing as the reservation time, receives the commodity transaction data of the user in the reserved preset time period, and randomly extracts the target user for commodity transaction according to all the commodity transaction data after the reservation result. Therefore, the user does not need to intensively access the system for changing purchases and killing the system in a short time, and the access pressure of the online mall system is relieved. Meanwhile, the invention can also determine the commodity transaction data received in the preset time period by analyzing the commodity transaction data
According to one aspect of the invention, the embodiment discloses a method for processing data of a commodity transaction for a first-time purchase. As shown in fig. 1, in this embodiment, the method includes:
s100: and receiving commodity transaction data of the user within a preset time period of the appointment.
S200: and determining user information according to the commodity transaction data of the user, and determining the sign range according to the user information.
S300: after the reservation is finished, a reservation sequence is formed according to the sign ranges of all users, a target user is randomly extracted according to the reservation sequence, and commodity purchasing success information is sent to the target user to complete commodity transaction.
The invention receives the commodity transaction data of the user in the preset time period by setting the preset time period. After the reservation is finished, determining user information requesting to purchase the commodity according to commodity transaction data of the user received within a predetermined time period, and setting a sign range for each user. Therefore, a reservation sequence is formed according to the sign ranges of all users, and the purpose of randomly extracting target users from all users requesting to purchase commodities to conduct commodity transaction is achieved through random extraction from the reservation sequence. Therefore, the invention can relieve the pressure of system shopping, prevent various cheating software from interfering the commodity transaction process, improve the user experience, guide the user to participate in the commodity shopping activity and realize the aim of client drainage.
In a preferred embodiment, as shown in fig. 2, the obtaining user information according to a purchase request of a user in S200, and determining a sign-in range according to the user information specifically includes:
s210: and determining user information according to the commodity transaction data of the user.
S220: and analyzing the user information to obtain the customer grade of the user, and determining the transaction weight of the user according to the customer grade of the user.
S230: and determining the sign-off range of the user transaction according to the transaction weight and the corresponding relation between the transaction weight and the sign-off range.
Specifically, the commodity transaction data transmitted by the user may include user characteristic information and commodity information requesting to purchase a commodity, where the user characteristic information may include information such as a user ID, a user nickname, and a user number, and the commodity information may include information such as a commodity number, a commodity name, a commodity selling price, and a commodity description. The user characteristic information can be obtained by analyzing the commodity transaction data, and can be matched with the pre-stored registered user to determine whether the user information corresponding to the registered user exists. If yes, the transaction weight of the user can be determined according to the customer level prestored in the user information, and the sign number range of the commodity transaction requested by the user is further determined according to the transaction weight of the user. In the embodiment, in order to realize better client drainage effect, different sign ranges corresponding to the client grades are set according to the client grades of the users, so that the winning probability of important clients can be improved, and the users are guided to register and consume. In addition, when the registered user does not have corresponding user information, a preset standard sign range can be set.
For example, in one specific example, the user information may include three levels, a primary level, a middle level, and a high level, which are formed by classifying the client in advance. The three customer levels of primary, intermediate and advanced correspond to 5, 10 and 15 times the signature range, respectively. And the preset standard signature range is 1. Therefore, after the commodity transaction data of the user is received, the commodity transaction data is analyzed to obtain the user characteristic information, and the user characteristic information is matched with the pre-stored registered user. For example, the analysis results in the user characteristic information that the user ID is 0001, and then it is further determined from the registered users whether there is a registered user whose user ID is 0001. If the registered user with the user ID of 0001 is obtained through matching, the corresponding user information can be located and found according to the user ID. Therefore, the client level of the user is determined from the user information, if the client level is the middle level, the sign-on number range is 10 times of the standard sign-on number range, so that the sign-on number range of the common client without the client level is 1, and the sign-on number range of the user of the middle level client level is 10, the middle level client has the probability of 10 times of that of the common client and can rob for purchasing low-price commodities, and client drainage and client privilege can be well achieved.
In a preferred embodiment, as shown in fig. 3, the method further comprises a step S000 of predetermining the customer rating:
s010: and acquiring a transaction record in a preset time period of a user.
S020: and determining the transaction number and the transaction amount of the user within a preset time period according to the transaction record.
S030: and determining the customer grade of the user according to the preset customer grade classification model according to the transaction number and the transaction amount.
Specifically, it is understood that the customer rating of the user may be determined according to the transaction record within the preset time period of the user, the transaction number of the transaction record and the amount of the transaction amount. For example, in a preset time period, the transaction number and the transaction amount of each user can be screened from the transaction record of the user, and if the transaction number and/or the transaction amount reach the numerical standard corresponding to each customer grade, the user is determined to be the corresponding user grade. For example, the corresponding transaction numbers of the primary, middle and high grade customer grades need to reach 5, 10 and 20 times in one month, the transaction amount needs to reach 1000, 5000 and 10000 RMB, the customer grade of the user is determined according to the actual transaction number and the transaction amount of the user, if the transaction number of the user in one month is 12 times and the transaction amount is 4000, the transaction number of the user reaches the middle grade, but the transaction amount only reaches the primary grade, and the finally determined user grade is the primary grade. Of course, in other embodiments, the customer rating of the user may be determined in other manners according to actual situations for commodity transaction, and the present invention is not limited thereto.
In a preferred embodiment, as shown in fig. 4, the forming of the reservation sequence according to the sign ranges of all users in S300 specifically includes:
s310: and determining a user sequence according to the front and back sequence of the commodity transaction data sent by all the users.
S320: and determining the sign sequence according to the user sequence, the preset initial sign and the sign range of the user.
S330: and marking the sign numbers in the sign number sequence according to the sign number range of each user to form a reservation sequence.
Specifically, a user sequence corresponding to the sign sequence can be determined according to the sequence of sending commodity transaction data when the user reserves to pre-purchase commodities, then the sign sequence for random extraction is determined according to each user sequence and the sign range of each user, and the sign ranges corresponding to different clients in the sign sequence are marked to obtain the reservation sequence. For example, when the user IDs of the sequentially received commodity transaction data are 0002, 0003, 0010, and 0012, respectively, the user sequences of none, 0003, 0010, and 0012 are formed according to the user IDs, and the corresponding customer ranks of none, primary, high, and none, respectively. The corresponding sign number ranges are 1, 5, 15 and 1, and if the initial sign number is 0, the sign number sequence is 1 to 22, wherein the sign numbers corresponding to the four users 0002, 0003, 0010 and 0012 are 1, 2 to 6, 7 to 21 and 22 respectively, so as to obtain the reservation sequence.
In a preferred embodiment, as shown in fig. 5, the step S300 of randomly extracting the target user according to the reservation sequence specifically includes:
s340: randomly extracting target sign numbers corresponding to the quantity of the purchased commodities from the reservation sequence;
s350: and determining the user corresponding to the target sign number as a target user.
Specifically, in order to maintain the fairness of commodity transaction in the processes of commodity robbery and second killing, the target tag number can be selected from the reservation sequence in a random extraction mode, and the target user to be traded for the commodity is determined according to the corresponding relation between the tag number and the user in the reservation sequence. Therefore, the normal transaction in the commodity robbery or second killing process can be realized, the condition that the access pressure of the online shopping mall system selling commodities is suddenly increased due to the actions of robbery and second killing is avoided, and the system pressure is relieved. In addition, the commodity transaction data is analyzed and matched with the registered users, so that whether abnormal commodity transaction data exists in the commodity transaction data or not can be determined, namely, the abnormal commodity transaction data sent by the cheating software disguising users exists, and the normal operation of commodity purchasing activities is improved. For example, the sign numbers in the reservation sequence are 1-22, and the sign numbers can be randomly extracted by generating random numbers, for example, 3, 5 and 8 are extracted, and then the users corresponding to the 3, 5 and 8 sign numbers are determined as target users, which indicates that the target users can perform commodity transaction.
In a preferred embodiment, as shown in fig. 6, the method further includes S400:
s410: and forming order information and payment information according to confirmation information fed back by the user based on the commodity purchase success information.
S420: and sending the order information and the payment information to a third party payment platform and a user to complete commodity payment.
It is understood that after the target user is determined, the commodity purchase success information may be sent to the user, and when the user receives the information to confirm payment, the confirmation information sent by the user based on the commodity purchase success information may be received. Furthermore, order information and payment information can be formed according to the confirmation information of the user and sent to the third-party payment platform and the user, so that the user can complete payment through the third-party payment platform. The third party payment platform can be a collection platform such as a payment treasure and a WeChat, and payment is completed.
In a preferred embodiment, as shown in fig. 7, the method further includes S500:
s510: and forming order information according to confirmation information fed back by the user based on the commodity purchase success information.
S520: and modifying the commodity stock information in the inventory system according to the order information.
Specifically, it is understood that the order information may be formed after receiving the confirmation information sent by the user based on the commodity purchase success information, and the commodity stock information in the inventory system may be automatically modified according to the order information. For example, the product stock information such as the number, size, and specification of the product may be modified, and the product selling information may be updated in time.
In a preferred embodiment, the method further comprises:
s600: and detecting the reservation sequence according to a preset check rule to determine whether the illegal user exists.
Specifically, the reservation sequence is formed by receiving commodity transaction data in a preset time period, and the reservation sequence can be analyzed to determine whether the user and the sign number in the reservation sequence are abnormal. For example, a check rule may be preset, and the check rule may be: and whether the occurrence frequency of the user in the reservation sequence reaches the preset frequency or whether the time interval of sending the commodity transaction data by the same user in the reservation sequence is below the preset time interval. By detecting the occurrence times of the same user in the reservation sequence, if the times reach the preset times and indicate that the commodity transaction data can be automatically sent by the cheating software, abnormal information is fed back to the merchant, so that the merchant can screen and discriminate abnormal users. Or, if the time interval of the commodity transaction data sent by the same user in the reservation sequence is below the preset time interval, the user is indicated to operate too frequently, and abnormal information can be fed back to the merchant, so that the merchant can further screen and discriminate abnormal users.
According to the time sequence of commodity transaction data sent by a user, the invention determines the client sign-off range according to user information, and generates a target user in a random extraction stage. The client does not need to concentrate time to participate in the activity, and the system pressure is relieved. After the client makes an appointment, the system carries out drawing and signing on the client qualification in a limited time, the signing probability in the client is equal, the user capable of trading can be randomly and accurately positioned, and the trading interference of human factors such as cheating software is avoided.
Based on the same principle, the embodiment also discloses a data processing system for the commodity transaction of the first-aid purchase. As shown in fig. 8, in the present embodiment, the system includes an information receiving module 11, an information processing module 12, and a random drawing module 13.
The information receiving module 11 is used for receiving commodity transaction data of the user in a reserved preset time period.
The information processing module 12 is configured to determine user information according to the commodity transaction data of the user, and determine a sign range according to the user information.
And the random extraction module 13 is used for forming an appointment sequence according to the sign ranges of all users after the appointment, randomly extracting a target user according to the appointment sequence, and sending commodity purchase success information to the target user to complete commodity transaction.
In a preferred embodiment, the information processing module 12 is specifically configured to determine user information according to commodity transaction data of a user; analyzing the user information to obtain the customer grade of the user, and determining the transaction weight of the user according to the customer grade of the user; and determining the sign-off range of the user transaction according to the transaction weight and the corresponding relation between the transaction weight and the sign-off range.
In a preferred embodiment, as shown in fig. 9, the system further includes a user information processing module 10. The user information processing module 10 is used for acquiring a transaction record in a preset time period of a user in advance; determining the transaction number and the transaction amount of the user within a preset time period according to the transaction record; and determining the customer grade of the user according to the preset customer grade classification model according to the transaction number and the transaction amount.
In a preferred embodiment, the random extraction module 13 is specifically configured to determine a user sequence according to a front-back sequence of sending the commodity transaction data by all users; determining a sign sequence according to the user sequence, a preset initial sign and a sign range of the user; and marking the sign numbers in the sign number sequence according to the sign number range of each user to form a reservation sequence.
In a preferred embodiment, the random extraction module 13 is specifically configured to randomly extract a target sign number corresponding to the number of the first purchased goods from the reservation sequence; and determining the user corresponding to the target sign number as a target user.
In a preferred embodiment, as shown in FIG. 10, the system further comprises an anomaly detection module 14. The anomaly detection module 14 is configured to detect a reservation sequence according to a preset check rule to determine whether an offending user exists.
Since the principle of the system for solving the problem is similar to the above method, the implementation of the system can refer to the implementation of the method, and the detailed description is omitted here.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. A typical implementation device is a computer device, which may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
In a typical example, the computer device specifically comprises a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method performed by the client as described above when executing the program, or the processor implementing the method performed by the server as described above when executing the program.
Referring now to FIG. 11, shown is a schematic diagram of a computer device 600 suitable for use in implementing embodiments of the present application.
As shown in fig. 11, the computer apparatus 600 includes a Central Processing Unit (CPU)601 which can perform various appropriate works and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM)) 603. In the RAM603, various programs and data necessary for the operation of the system 600 are also stored. The CPU601, ROM602, and RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output section 607 including a Cathode Ray Tube (CRT), a liquid crystal feedback (LCD), and the like, and a speaker and the like; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted as necessary on the storage section 608.
In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the invention include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should also be noted that 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 like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
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, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (16)
1. A method for processing transaction data of a pre-purchased commodity is characterized by comprising the following steps:
receiving commodity transaction data of a user within a predetermined time period of an appointment;
determining user information according to commodity transaction data of a user, and determining a sign range according to the user information;
after the reservation is finished, a reservation sequence is formed according to the sign ranges of all users, a target user is randomly extracted according to the reservation sequence, and commodity purchasing success information is sent to the target user to complete commodity transaction.
2. The method for processing data of a transaction of a pre-purchased commodity according to claim 1, wherein the step of obtaining user information according to a purchase request of a user and the step of determining a sign-on range according to the user information specifically comprises the steps of:
determining user information according to commodity transaction data of a user;
analyzing the user information to obtain the customer grade of the user, and determining the transaction weight of the user according to the customer grade of the user;
and determining the sign-off range of the user transaction according to the transaction weight and the corresponding relation between the transaction weight and the sign-off range.
3. A method for processing data of a transaction for a pre-purchased commodity according to claim 2, further comprising the step of predetermining said customer rating:
acquiring a transaction record in a preset time period of a user;
determining the transaction number and the transaction amount of the user within a preset time period according to the transaction record;
and determining the customer grade of the user according to the preset customer grade classification model according to the transaction number and the transaction amount.
4. The method for processing data of a transaction of a pre-purchased commodity according to claim 1, wherein the forming of the reservation sequence according to the signature ranges of all users specifically comprises:
determining a user sequence according to the front and back sequence of commodity transaction data sent by all users;
determining a sign sequence according to the user sequence, a preset initial sign and a sign range of the user;
and marking the sign numbers in the sign number sequence according to the sign number range of each user to form a reservation sequence.
5. The method for processing data of a transaction of a pre-purchased commodity according to claim 4, wherein the randomly extracting target users according to the reservation sequence specifically comprises:
randomly extracting target sign numbers corresponding to the quantity of the purchased commodities from the reservation sequence;
and determining the user corresponding to the target sign number as a target user.
6. The method for processing data of a transaction of a pre-purchased commodity according to claim 1, further comprising:
forming order information and payment information according to confirmation information fed back by the user based on the commodity purchase success information;
and sending the order information and the payment information to a third party payment platform and a user to complete commodity payment.
7. The method for processing data of a transaction of a pre-purchased commodity according to claim 1, further comprising:
forming ordering information according to confirmation information fed back by the user based on the commodity purchasing success information;
and modifying the commodity stock information in the inventory system according to the order information.
8. The method for processing data of a transaction of a pre-purchased commodity according to claim 1, further comprising:
and detecting the reservation sequence according to a preset check rule to determine whether the illegal user exists.
9. A system for processing data of a transaction of a pre-purchased commodity, comprising:
the information receiving module is used for receiving commodity transaction data of a user in a reserved preset time period;
the information processing module is used for determining user information according to commodity transaction data of a user and determining a sign range according to the user information;
and the random extraction module is used for forming an appointment sequence according to the sign number ranges of all users after the appointment, randomly extracting a target user according to the appointment sequence, and sending commodity purchase success information to the target user to complete commodity transaction.
10. The system for processing data of a preemptive commodity transaction according to claim 9, wherein the information processing module is specifically configured to determine user information according to commodity transaction data of a user; analyzing the user information to obtain the customer grade of the user, and determining the transaction weight of the user according to the customer grade of the user; and determining the sign-off range of the user transaction according to the transaction weight and the corresponding relation between the transaction weight and the sign-off range.
11. The system for processing transaction data of the commodities to be purchased according to claim 9, further comprising a user information processing module for obtaining transaction records in a preset time period of a user in advance; determining the transaction number and the transaction amount of the user within a preset time period according to the transaction record; and determining the customer grade of the user according to the preset customer grade classification model according to the transaction number and the transaction amount.
12. The system for processing data of a purchased commodity transaction according to claim 9, wherein the random extraction module is specifically configured to determine a user sequence according to a front-back sequence in which all users send commodity transaction data; determining a sign sequence according to the user sequence, a preset initial sign and a sign range of the user; and marking the sign numbers in the sign number sequence according to the sign number range of each user to form a reservation sequence.
13. The system for processing transaction data of a purchased commodity according to claim 12, wherein the random extraction module is specifically configured to randomly extract a target signature number corresponding to the number of the purchased commodity from the reservation sequence; and determining the user corresponding to the target sign number as a target user.
14. The system for processing data of a transaction of a pre-purchased commodity according to claim 9, further comprising an anomaly detection module for detecting a reservation sequence according to a preset check-up rule to determine whether an offending user exists.
15. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor,
the processor, when executing the program, implements the method of any of claims 1-8.
16. A computer-readable medium, having stored thereon a computer program,
the program when executed by a processor implementing the method according to any one of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011039195.2A CN112085240A (en) | 2020-09-28 | 2020-09-28 | Method and system for processing transaction data of first-order commodities |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011039195.2A CN112085240A (en) | 2020-09-28 | 2020-09-28 | Method and system for processing transaction data of first-order commodities |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112085240A true CN112085240A (en) | 2020-12-15 |
Family
ID=73738516
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011039195.2A Pending CN112085240A (en) | 2020-09-28 | 2020-09-28 | Method and system for processing transaction data of first-order commodities |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112085240A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113535657A (en) * | 2021-07-29 | 2021-10-22 | 中国工商银行股份有限公司 | Method, system, equipment and storage medium for detecting abnormality of emergency purchase transaction |
| CN113971469A (en) * | 2021-10-28 | 2022-01-25 | 中国银行股份有限公司 | Noble metal commemorative coin reservation method and device |
| CN114202082A (en) * | 2021-12-15 | 2022-03-18 | 中国建设银行股份有限公司 | Payment method, device, equipment and medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104462977A (en) * | 2014-12-23 | 2015-03-25 | 北京京东尚科信息技术有限公司 | Data processing method and system |
| KR20150130112A (en) * | 2014-05-13 | 2015-11-23 | 주식회사 포워드벤처스 | Payment method and system for dealing on credit |
| CN106202505A (en) * | 2016-07-20 | 2016-12-07 | 北京京东尚科信息技术有限公司 | Data processing method and system thereof |
| CN107194481A (en) * | 2016-03-15 | 2017-09-22 | 阿里巴巴集团控股有限公司 | A kind of lot reserving method and device |
-
2020
- 2020-09-28 CN CN202011039195.2A patent/CN112085240A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20150130112A (en) * | 2014-05-13 | 2015-11-23 | 주식회사 포워드벤처스 | Payment method and system for dealing on credit |
| CN104462977A (en) * | 2014-12-23 | 2015-03-25 | 北京京东尚科信息技术有限公司 | Data processing method and system |
| CN107194481A (en) * | 2016-03-15 | 2017-09-22 | 阿里巴巴集团控股有限公司 | A kind of lot reserving method and device |
| CN106202505A (en) * | 2016-07-20 | 2016-12-07 | 北京京东尚科信息技术有限公司 | Data processing method and system thereof |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113535657A (en) * | 2021-07-29 | 2021-10-22 | 中国工商银行股份有限公司 | Method, system, equipment and storage medium for detecting abnormality of emergency purchase transaction |
| CN113971469A (en) * | 2021-10-28 | 2022-01-25 | 中国银行股份有限公司 | Noble metal commemorative coin reservation method and device |
| CN114202082A (en) * | 2021-12-15 | 2022-03-18 | 中国建设银行股份有限公司 | Payment method, device, equipment and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20210279730A1 (en) | Machine learning engine for fraud detection during cross-location online transaction processing | |
| US11798017B2 (en) | Dynamic information probing for classifying an item | |
| CN112085240A (en) | Method and system for processing transaction data of first-order commodities | |
| US11068934B2 (en) | Systems and methods for leveraging social queuing to identify and prevent ticket purchaser simulation | |
| CN109711955B (en) | Poor evaluation early warning method and system based on current order and blacklist base establishment method | |
| US9466035B2 (en) | Systems and methods for leveraging social queuing to facilitate event ticket distribution | |
| CN112529575B (en) | Risk early warning method, equipment, storage medium and device | |
| US20210248607A1 (en) | Systems and methods for using machine learning to predict events associated with transactions | |
| US10909594B2 (en) | Method, medium, and system for transaction security by determining trends using N-grams | |
| US20140006282A1 (en) | Methods and systems for connecting multiple merchants to an interactive element in a web page | |
| US20230325878A1 (en) | Systems and methods for leveraging social queuing to simulate ticket purchaser behavior | |
| CN114757757A (en) | Wind control method | |
| US20220391905A1 (en) | Authentication of Users Using Historical Tipping Information to Generate Authentication Questions | |
| US12112300B2 (en) | Injecting user control for card-on-file merchant data and implicitly-identified recurring payment transaction parameters between acquirer processors and issuer processors over data communication networks | |
| CN109544299B (en) | Buyer identity rating method, device and storage medium based on transaction guarantee platform | |
| US20210201186A1 (en) | Utilizing Machine Learning to Predict Information Corresponding to Merchant Offline Presence | |
| CN111353816A (en) | Information processing method and device and computer readable storage medium | |
| CN111553696A (en) | Risk prompting method and device and electronic equipment | |
| CN110738482A (en) | block chain payment method based on mixed reality and system thereof | |
| CN105719079B (en) | Information generation method and device | |
| KR101723648B1 (en) | Apparatus, method and computer program for providing shopping service | |
| CN113822673B (en) | Transaction quotation obtaining method and device based on ring signature | |
| US20220027750A1 (en) | Real-time modification of risk models based on feature stability | |
| JP7359910B1 (en) | Information processing device, information processing method, and program | |
| CN109493189B (en) | Method, terminal and storage medium for tracking user guarantee data by third party |
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 |