CN115511584A - E-commerce platform false transaction order monitoring method and system - Google Patents
E-commerce platform false transaction order monitoring method and system Download PDFInfo
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- CN115511584A CN115511584A CN202211394199.1A CN202211394199A CN115511584A CN 115511584 A CN115511584 A CN 115511584A CN 202211394199 A CN202211394199 A CN 202211394199A CN 115511584 A CN115511584 A CN 115511584A
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- 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]
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- 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
Abstract
The invention relates to the technical field of data processing, in particular to a false trade order monitoring method and system for an e-commerce platform, which comprises the following steps: the control terminal is a main control end of the system and is used for sending out a control command; the acquisition module is used for acquiring a transaction order generated in real time in the merchant transaction platform; the capturing module is used for capturing the transaction orders generated in real time in the acquisition module as a false transaction order monitoring target; the acquisition module is used for acquiring the corresponding sign-in evaluation of the trading order commodities captured by the capture module; the method can collect the transaction orders generated in real time in the e-commerce platform, further distinguish the transaction orders through the analysis result to provide data support for the subsequent modules of the system to run for false transaction order monitoring target selection through the analysis result, preliminarily screen the monitoring of the false transaction orders in the e-commerce platform, and ensure that the false transaction order monitoring of the e-commerce platform is more targeted.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a false transaction order monitoring method and system for an e-commerce platform.
Background
The e-commerce platform is a current popular online shopping mode, commodity information is retrieved through the internet, a shopping request is sent through an electronic purchase order, then a private check account number or a credit card number is filled, a manufacturer delivers goods through mail order, or a delivery company delivers goods to the home, online shopping in China is carried out, and the general payment mode is money to delivery (direct bank transfer, online remittance) and guarantee transaction is goods to payment and the like.
Although the shopping mode brings convenience to daily life of people, some merchants acquire high-quality evaluation and forward commodity recommendation positions in a form of scrubbing to improve the sales volume of stores, the online shopping market of corresponding sold commodities is monopolized to a certain degree, the quality of the sold commodities cannot be guaranteed, the use experience of users of the e-commerce platform after purchasing the commodities is greatly reduced, and the authenticity of shopping of the e-commerce platform is reduced.
Disclosure of Invention
Solves the technical problem
Aiming at the defects in the prior art, the invention provides a false transaction order monitoring method and system for an e-commerce platform, which solve the technical problems in the background technology.
Technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
in a first aspect, a false trade order monitoring system for e-commerce platform comprises:
the control terminal is a main control end of the system and is used for sending out a control command;
the acquisition module is used for acquiring a transaction order generated in real time in the merchant transaction platform;
the capturing module is used for capturing the transaction orders generated in real time in the acquisition module as a false transaction order monitoring target;
the acquisition module is used for acquiring the corresponding sign-in evaluation of the trading order commodities captured by the capture module;
the identification module is used for identifying the corresponding sign-off evaluation characteristics of the transaction order commodities;
and the feedback module is used for receiving the operation results of the identification module and the sub-modules thereof, and feeding back the commodity target of the corresponding trade order with the judged result as yes to the control terminal when the operation results of the sub-modules thereof are judged as yes.
Furthermore, the acquisition module is provided with sub-modules at a lower level, and comprises:
the system comprises a loading unit, a monitoring unit and a monitoring unit, wherein the loading unit is used for loading the system to an e-commerce trading platform which needs to monitor false trading orders;
and the analysis unit is used for analyzing the attributes of the transaction orders acquired by the acquisition module in real time.
Still further, the attributes of the trade order analyzed in the analyzing unit include: trade order commodity usage type and trade order commodity price interval;
and the attribute data of the transaction orders obtained by the operation of the analysis unit are synchronously sent to the acquisition module and stored in the acquisition module.
Furthermore, a sub-module is disposed in the capture module, and includes:
and the selection unit is used for providing user operation authority to select the trading orders collected in the collection module as a false trading order monitoring target.
Further, the capture module is provided with sub-modules at a lower level, including:
the threshold setting unit is used for setting a commodity target price interval corresponding to the trading order captured by the capturing module;
the distinguishing unit is used for distinguishing the usage type of the trade order commodity in the target price interval set by the threshold setting unit captured by the capturing module;
and the extraction unit is used for extracting the trade order commodities with the specified application types and the target price intervals and feeding the trade order commodities back to the capture module.
Furthermore, the extraction unit randomly selects the trade order goods of all usage types in any target price interval as a false trade order monitoring target when the trade order goods are extracted, the capture module and all modules in the lower level thereof repeatedly operate according to a set period, and the trade order goods extracted and selected by the extraction unit in the next period do not exist in the trade order goods extracted and selected by the extraction unit in the previous period.
Still further, the identification module is provided with sub-modules at a lower level, including:
the image analysis unit is used for acquiring an evaluation figure in the trade order commodity sign-in evaluation and analyzing whether the same item exists in the evaluation figure;
and the character analysis unit is used for acquiring the evaluation characters in the commodity sign-in evaluation of the transaction order and analyzing whether the same word segments exist in the evaluation characters.
Further, the image analysis unit determines whether the evaluation drawings are identical by applying any image recognition algorithm when the evaluation drawings are identical, and the character analysis unit determines similarity by the following formula when the evaluation characters are identical in terms of the same word segments, wherein the formula is as follows:
in the formula:
similarity between the evaluation character M and the evaluation character C is obtained;
n is the total number of different words in the set of words of the evaluation word M and the evaluation word C.
Furthermore, the control terminal is electrically connected with an acquisition module through a medium, the acquisition module is electrically connected with a loading unit and an analysis unit through a medium, the acquisition module is electrically connected with a capture module through a medium, the capture module is electrically connected with a selection unit, a threshold setting unit, a distinguishing unit and an extraction unit through a medium, the capture module is electrically connected with an acquisition module and an identification module through a medium, the identification module is electrically connected with an image analysis unit and a character analysis unit through a medium, and the identification module is electrically connected with a feedback module through a medium.
In a second aspect, a false trade order monitoring method for an e-commerce platform comprises the following steps:
step 1: capturing a transaction order generated on the E-commerce platform in real time;
step 2: analyzing attributes of the trade orders, and selecting the trade orders as false trade order monitoring targets according to the attributes of the trade orders;
and step 3: acquiring the sign-in evaluation of each trading order in the false trading order monitoring target;
and 4, step 4: the trade order attributes are fed back to the E-commerce platform management end, and the E-commerce platform management end selects the trade order as a false trade order monitoring target according to the trade order attributes;
and 5: identifying the similarity of evaluation characters and evaluation drawings in the sign-in evaluation of the transaction order;
and 6: analyzing and evaluating whether a trading order with the similarity of 100% exists in the characters and the drawing;
and 7: if the judgment result is yes, feeding back the commodity corresponding to the trade order to the e-commerce platform management terminal, if the judgment result is no, skipping to the step 1 and entering the next step execution cycle;
and after the step 2 is executed, the step 2 or the step 3 or the steps 2 and 3 are executed according to user-defined selection, and then the step 5 is executed.
Advantageous effects
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
1. the invention provides a false trading order monitoring system of an E-commerce platform, which can collect trading orders generated in the E-commerce platform in real time, further analyze attributes of the trading orders, and distinguish the trading orders through analysis results to provide data support for subsequent modules of the system to operate for false trading order monitoring target selection, so that preliminary screening is performed on monitoring of false trading orders in the E-commerce platform, and the false trading order monitoring of the E-commerce platform is ensured to be more targeted.
2. The system analyzes the sign-in evaluation of the transaction order commodity in the operation process, judges whether the transaction order is a false transaction order or not by identifying the evaluation characters in the sign-in evaluation and evaluating similar items of the attached drawings, has better efficiency and can accurately capture the false transaction order in the E-commerce platform.
3. The invention provides a false trading order monitoring method for an e-commerce platform, which can further maintain the stability of the system operation in the invention through the step execution in the method, and can also select the selection logic of a false trading order monitoring target according to the user definition in the step execution process of the method, so that the overall adaptability of the system and the method in the invention is further improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic structural diagram of a false trade order monitoring system of an E-commerce platform;
FIG. 2 is a flow chart of a method for monitoring false trade orders of an e-commerce platform;
the reference numerals in the drawings denote: 1. a control terminal; 2. an acquisition module; 21. a loading unit; 22. an analysis unit; 3. a capture module; 31. a selection unit; 32. a threshold setting unit; 33. a distinguishing unit; 34. an extraction unit; 4. an acquisition module; 5. an identification module; 51. an image analysis unit; 52. a character analysis unit; 6. and a feedback module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all 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.
The present invention will be further described with reference to the following examples.
Example 1
The false trade order monitoring system of the e-commerce platform of the embodiment, as shown in fig. 1, includes:
the control terminal 1 is a main control end of the system and is used for sending out a control command;
the acquisition module 2 is used for acquiring a transaction order generated in real time in a merchant transaction platform;
the capturing module 3 is used for capturing the trading orders generated in real time in the acquisition module 2 as a false trading order monitoring target;
the acquisition module 4 is used for acquiring the corresponding sign-in evaluation of the trade order commodities captured by the capture module 3;
the identification module 5 is used for identifying the corresponding sign-off evaluation characteristics of the transaction order commodities;
and the feedback module 6 is used for receiving the operation results of the identification module 5 and the sub-modules thereof, and feeding back the commodity target of the corresponding trade order with the judgment result to the control terminal 1 when the operation results of the sub-modules thereof are judged to be yes.
In this embodiment, the control terminal 1 controls the acquisition module 2 to operate and acquire a transaction order generated in real time in the merchant transaction platform, the capture module 3 captures the transaction order generated in real time in the acquisition module 2 as a false transaction order monitoring target, the acquisition module 4 operates and acquires the transaction order commodity corresponding sign-in evaluation captured by the capture module 3 after being followed, the identification module 5 operates and identifies the transaction order commodity corresponding sign-in evaluation feature synchronously, and finally the feedback module 6 receives the identification module 5 and the sub-module operation result thereof, and when the sub-module operation result is yes, the control terminal 1 feeds back the corresponding transaction order commodity target with the positive judgment result.
Example 2
In a specific implementation level, on the basis of embodiment 1, this embodiment further specifically describes, with reference to fig. 1, a false transaction order monitoring system for an e-commerce platform in embodiment 1:
the loading unit 21 is used for loading the system to an e-commerce trading platform which needs to monitor false trading orders;
and the analysis unit 22 is used for analyzing the transaction order attributes acquired by the acquisition module 2 in real time.
As shown in fig. 1, the attributes of the trade order analyzed in the analyzing unit 22 include: the commodity usage type and commodity price interval of the trade order;
the transaction order attribute data obtained by the operation of the analysis unit 22 is synchronously transmitted to the acquisition module 2 and stored in the acquisition module 2.
Through the arrangement of the sub-modules in the acquisition module 2, the attribute analysis can be effectively carried out on the transaction orders generated in real time in the e-commerce platform, and basic data support is provided for the subordinate modules.
As shown in fig. 1, a sub-module is disposed in the capture module 3, and includes:
and the selecting unit 31 is used for providing user operation authority to select the trading orders collected in the collecting module 2 as false trading order monitoring targets.
Through the arrangement of the module, another operation logic is provided for the system in the operation process, and the adaptability of the system in the process of selecting the monitoring target of the false trade order is effectively improved.
As shown in fig. 1, the capture module 3 is provided with sub-modules at a lower level, including:
a threshold value setting unit 32 for setting a target price range of the commodity corresponding to the trade order captured by the capture module 3;
a distinguishing unit 33 for distinguishing the usage type of the trade order goods within the target price zone set by the threshold setting unit 32 captured by the capturing module 3;
the extracting unit 34 is configured to extract the trade order goods with the designated usage type and the target price interval and feed the trade order goods back to the capturing module 3.
Through the arrangement of the submodules in the capture module 3, when the system autonomously selects the false trading order monitoring target, the selection logic of the false trading order monitoring target is further provided, so that the trading order is accurately captured.
As shown in fig. 1, the extracting unit 34 randomly selects trading order commodities of all usage types in any target price interval as a false trading order monitoring target when the trading order commodities are extracted, the capture module 3 and all modules in the lower level thereof are repeatedly operated according to a set period, and the trading order commodities extracted and selected by the extracting unit 34 in the next period do not exist in the trading order commodities extracted and selected by the extracting unit 34 in the previous period.
By the arrangement, the system can continuously select different trading orders as the false trading order monitoring target, and the false trading order monitoring target is prevented from being repeatedly selected.
As shown in fig. 1, the identification module 5 is provided with sub-modules at a lower level, including:
the image analysis unit 51 is used for acquiring an evaluation figure in the trade order commodity sign-in evaluation, and analyzing whether the same item exists in the evaluation figure;
the character analysis unit 52 is configured to obtain evaluation characters in the transaction order commodity sign-in evaluation, and analyze whether the same word segment exists in the evaluation characters.
Through the setting of the sub-modules, further accurate judgment is made whether the trading order is a false trading order.
As shown in fig. 1, the image analysis unit 51 applies any image recognition algorithm to determine whether the evaluation graph analysis is the same, and the character analysis unit 52 determines similarity by the following formula when the evaluation character analysis has the same word segment:
in the formula:
similarity between the evaluation character M and the evaluation character C is obtained;
n is the total number of different words in the set of words of the evaluation word M and the evaluation word C.
As shown in fig. 1, the control terminal 1 is electrically connected to the acquisition module 2 through a medium, the lower stage of the acquisition module 2 is electrically connected to the loading unit 21 and the analysis unit 22 through a medium, the acquisition module 2 is electrically connected to the capture module 3 through a medium, the lower stage of the capture module 3 is electrically connected to the selection unit 31, the threshold setting unit 32, the distinguishing unit 33 and the extraction unit 34 through a medium, the capture module 3 is electrically connected to the acquisition module 4 and the identification module 5 through a medium, the lower stage of the identification module 5 is electrically connected to the image analysis unit 51 and the character analysis unit 52 through a medium, and the identification module 5 is electrically connected to the feedback module 6 through a medium.
Example 3
In a specific implementation level, on the basis of embodiment 1, this embodiment further specifically describes, with reference to fig. 2, a false transaction order monitoring system for an e-commerce platform in embodiment 1:
a false trade order monitoring method for an E-commerce platform comprises the following steps:
step 1: capturing a transaction order generated on the E-commerce platform in real time;
and 2, step: analyzing attributes of the trade orders, and selecting the trade orders as false trade order monitoring targets according to the attributes of the trade orders;
and step 3: acquiring the sign-in evaluation of each trading order in the false trading order monitoring target;
and 4, step 4: the attribute of the trade order is fed back to the E-commerce platform management end, and the E-commerce platform management end selects the trade order as a false trade order monitoring target according to the attribute of the trade order;
and 5: identifying evaluation characters and evaluation figure similarity in transaction order sign-in evaluation;
and 6: analyzing and evaluating whether a trading order with the similarity of 100% exists in the characters and the drawing;
and 7: step 6, if the judgment result is yes, feeding back commodities corresponding to the trade orders to the e-commerce platform management terminal, if the judgment result is no, skipping to the step 1 to enter the execution period of the next step;
and after the step 2 is executed, the step 2 or the step 3 or the steps 2 and 3 are executed according to user-defined selection, and then the step 5 is executed.
In summary, the transaction orders generated in real time in the e-commerce platform can be collected through the specific implementation of the embodiment, further, the attributes of the transaction orders are analyzed, the transaction orders are distinguished through the analysis result so as to provide data support for the subsequent modules of the system to operate and select the target for monitoring the false transaction orders, preliminary screening is performed on monitoring of the false transaction orders in the e-commerce platform, the false transaction orders of the e-commerce platform are guaranteed to be more targeted, the system analyzes the sign-in evaluation of the transaction order commodities in the operation process, judges whether the transaction orders are the false transaction orders or not through identifying the similar items of the evaluation characters and the evaluation drawings in the sign-in evaluation, the efficiency is good, and the false transaction orders in the e-commerce platform can be accurately captured; in addition, the steps of the method described in the embodiment can be executed to further maintain the stability of the system operation, and the selection logic of the false trade order monitoring target can be selected according to the user customization in the step execution process of the method, so that the overall adaptability of the system and the method is further improved.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. An e-commerce platform false trade order monitoring system, comprising:
the control terminal (1) is a main control end of the system and is used for sending out a control command;
the acquisition module (2) is used for acquiring a trading order generated in real time in a merchant trading platform;
the capturing module (3) is used for capturing the trading orders generated in real time in the acquisition module (2) as a false trading order monitoring target;
the acquisition module (4) is used for acquiring the corresponding sign-in evaluation of the trading order commodities captured by the capture module (3);
the identification module (5) is used for identifying the corresponding sign-in evaluation characteristics of the transaction order commodities;
and the feedback module (6) is used for receiving the identification module (5) and the operation result of the sub-modules thereof, and feeding back the commodity target of the corresponding trade order with the judgment result to the control terminal (1) if the operation result of the sub-modules thereof is judged to be yes.
2. The e-commerce platform false trade order monitoring system according to claim 1, wherein the collection module (2) is provided with sub-modules at a lower level, and comprises:
the loading unit (21) is used for loading the system to an e-commerce trading platform which needs to monitor false trading orders;
and the analysis unit (22) is used for analyzing the transaction order attributes acquired by the acquisition module (2) in real time.
3. An e-commerce platform false trade order monitoring system according to claim 2, wherein the trade order attributes analyzed in the analysis unit (22) include: the commodity usage type and commodity price interval of the trade order;
the transaction order attribute data obtained by operation of the analysis unit (22) are synchronously sent to the acquisition module (2) and stored in the acquisition module (2).
4. An e-commerce platform false trade order monitoring system as claimed in claim 1, wherein the capturing module (3) is provided with a sub-module, comprising:
and the selection unit (31) is used for providing user operation authority to select the transaction orders collected in the collection module (2) as a false transaction order monitoring target.
5. An e-commerce platform false trade order monitoring system according to claim 1, wherein the capturing module (3) is provided with sub-modules at the lower stage, and the sub-modules comprise:
a threshold setting unit (32) for setting a target commodity price interval corresponding to the trading order captured by the capture module (3);
a distinguishing unit (33) for distinguishing the usage type of the trade order commodity in the target price interval set by the threshold setting unit (32) captured by the capture module (3);
and an extraction unit (34) for extracting the trade order goods of the specified use type and the target price interval and feeding back the trade order goods to the capture module (3).
6. The E-commerce platform false trade order monitoring system according to claim 5, wherein the extraction unit (34) randomly selects trade order commodities of all usage types in any target price interval as false trade order monitoring targets during the extraction of the trade order commodities, the capture module (3) and all modules at the lower level thereof are repeatedly operated according to a set period, and the trade order commodities extracted by the extraction unit (34) in the next period are not present in the trade order commodities extracted by the extraction unit (34) in the previous period.
7. The e-commerce platform false trade order monitoring system according to claim 1, wherein the identification module (5) is provided with sub-modules at a lower stage, and the sub-modules comprise:
the image analysis unit (51) is used for acquiring an evaluation figure in the trade order commodity sign-in evaluation and analyzing whether the same item exists in the evaluation figure;
and a character analysis unit (52) for acquiring the evaluation characters in the trade order commodity sign-in evaluation and analyzing whether the same word segment exists in the evaluation characters.
8. The e-commerce platform false transaction order monitoring system according to claim 7, wherein the image analysis unit (51) applies any image recognition algorithm to determine whether the evaluation graph analysis is the same, and the character analysis unit (52) determines similarity by the following formula when the evaluation graph analysis has the same word segment, wherein the formula is as follows:
in the formula:
similarity between the evaluation character M and the evaluation character C is obtained;
n is the total number of different words in the set of words of the evaluation word M and the evaluation word C.
9. The E-commerce platform false transaction order monitoring system according to claim 1, wherein the control terminal (1) is electrically connected with an acquisition module (2) through a medium, the lower stage of the acquisition module (2) is electrically connected with a loading unit (21) and an analysis unit (22) through a medium, the acquisition module (2) is electrically connected with a capture module (3) through a medium, the lower stage of the capture module (3) is electrically connected with a selection unit (31), a threshold setting unit (32), a distinguishing unit (33) and an extraction unit (34) through a medium, the capture module (3) is electrically connected with an acquisition module (4) and an identification module (5) through a medium, the lower stage of the identification module (5) is electrically connected with an image analysis unit (51) and a text analysis unit (52) through a medium, and the identification module (5) is electrically connected with a feedback module (6) through a medium.
10. A false trade order monitoring method for an e-commerce platform, which is implemented by the false trade order monitoring system for the e-commerce platform according to any one of claims 1 to 8, and is characterized by comprising the following steps:
step 1: capturing a transaction order generated on the E-commerce platform in real time;
step 2: analyzing attributes of the trade orders, and selecting the trade orders as false trade order monitoring targets according to the attributes of the trade orders;
and 3, step 3: acquiring the sign-in evaluation of each trading order in the false trading order monitoring target;
and 4, step 4: the attribute of the trade order is fed back to the E-commerce platform management end, and the E-commerce platform management end selects the trade order as a false trade order monitoring target according to the attribute of the trade order;
and 5: identifying the similarity of evaluation characters and evaluation drawings in the sign-in evaluation of the transaction order;
step 6: analyzing and evaluating whether a trading order with the similarity of 100% exists in the characters and the drawing;
and 7: if the judgment result is yes, feeding back the commodity corresponding to the trade order to the e-commerce platform management terminal, if the judgment result is no, skipping to the step 1 and entering the next step execution cycle;
and after the step 2 is executed, the step 2 or the step 3 or the steps 2 and 3 are executed according to user-defined selection, and then the step 5 is executed.
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