E-commerce transaction platform merchant data management system

Abstract

The invention relates to an e-commerce transaction platform merchant data management system, and the system comprises a user affirmation conformity determination module which is used for obtaining the evaluation information of each user, and determining the user affirmation conformity according to the evaluation information of each user; the conformity degree weight coefficient generation module is used for determining the conformity degree weight coefficient of each user according to the evaluation pictures of the users and the commodity display information uploaded by the commercial tenants; the comprehensive conformity calculation module is used for generating a comprehensive conformity according to the conformity weight coefficient of each user and the user affirmed conformity; and the display photo modification prompting module is used for judging whether a display photo modification instruction is generated or not according to the comprehensive conformity. According to the method, the color of the display photo uploaded by the merchant can be automatically audited based on the evaluation information of the user, the display photo modification instruction is automatically generated when the color difference is too large, and the display photo can be audited without additionally making a complaint by a customer through a complaint channel of a platform.

Description

Technical Field

[0001] The present invention relates to the technical field of e-commerce management, and in particular to an e-commerce transaction platform merchant data management system. Background Art

[0002] With the rapid development of information technology, especially the widespread application of the Internet, big data, cloud computing and other technologies, the e-commerce industry has risen rapidly and flourished. These technologies provide strong technical support for e-commerce trading platforms, making it possible to build a merchant data management system. In recent years, the e-commerce industry has continued to prosper worldwide, with the scale of transactions expanding and the variety of transactions becoming increasingly rich. In order to meet the needs of consumers, e-commerce platforms need to attract more merchants to settle in and provide them with an efficient and convenient trading environment. Therefore, it is particularly important to build a complete merchant data management system.

[0003] When consumers buy clothes on e-commerce trading platforms, they mainly choose through the display photos uploaded by merchants. When choosing to buy clothes, the color of the clothes is usually the focus of users. In the actual shopping process, the color of the actual object may be inconsistent with the color of the display pictures uploaded by the merchant or the difference may be too large. The existing merchant data management system of e-commerce trading platforms usually only conducts a preliminary review of the product pictures uploaded by the merchant, and quickly screens out pictures that do not meet the specifications or contain obvious false information, but the review effect is usually not good. If consumers find that there is a significant difference between the color of the product picture and the actual object during the purchase process, they can provide feedback through the platform's complaint channel. After receiving the complaint, the platform will promptly intervene in the investigation and deal with the merchant accordingly. However, the investigation based on consumer complaint feedback is relatively complicated. Ordinary consumers may return the goods directly and will not complain to the platform, so that the photos uploaded by the merchant are not replaced in time. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention proposes a merchant data management system for an e-commerce transaction platform.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] An e-commerce transaction platform merchant data management system, the system comprising:

[0007] A user identification conformity determination module is used to obtain evaluation information of each user and determine the user identification conformity based on the user's evaluation information;

[0008] A matching weight coefficient generation module is used to determine the matching weight coefficient of each user based on the user's evaluation picture and the product display information uploaded by the merchant;

[0009] A comprehensive conformity calculation module, used for generating a comprehensive conformity according to the conformity weight coefficient of each user and the user-identified conformity;

[0010] The display photo modification prompt module is used to determine whether to generate a display photo modification instruction based on the comprehensive consistency.

[0011] As a further technical solution of the present invention, the user identification conformity determination module includes:

[0012] An evaluation information acquisition unit is used to acquire evaluation information of each user, wherein the evaluation information includes evaluation pictures, evaluation text and evaluation stars. Evaluation items corresponding to the evaluation stars include description match, service attitude, etc. Each evaluation item corresponds to a number of optional stars, and usually each evaluation item corresponds to 5 optional stars.

[0013] The user recognition conformity generation unit is used to determine the user recognition conformity according to the number of evaluation stars corresponding to the description conformity in the evaluation information; the more evaluation stars the user fills in in the description conformity item, the higher the corresponding user recognition conformity, and the number of evaluation stars is positively correlated with the user recognition conformity.

[0014] As a further technical solution of the present invention, the conformity weight coefficient generation module includes:

[0015] A commodity display information acquisition unit is used to acquire commodity display information uploaded by a merchant, wherein the commodity display information includes a display picture set and product description information, wherein the display picture set includes a plurality of display pictures, and the product description information includes the color, size, material, etc. of the product;

[0016] A picture parameter acquisition unit, used to acquire picture parameters of the evaluation picture and the display picture, wherein the picture parameters include color temperature, brightness, contrast, etc.;

[0017] A similarity determination unit, used to compare each of the evaluation pictures with the picture parameters of each display picture, determine the similarity of the picture parameters of the two, and sort the similarity between each user's evaluation picture and the picture parameters of the display picture;

[0018] A target similarity extraction unit, used to obtain the maximum value of the similarity of each user as the target similarity of this user;

[0019] The conformity weight coefficient confirmation unit is used to determine the conformity weight coefficient of each user according to the target similarity of each user, and the target similarity of the picture parameters is positively correlated with the conformity weight coefficient.

[0020] As a further technical solution of the present invention, the comprehensive conformity calculation module includes:

[0021] The comprehensive compliance is generated according to the compliance weight coefficient of each user and the user's recognized compliance, and the calculation formula is as follows:

[0022] F=P1*F1+P2*F2+...P n-1 *F n-1 +P n *F n ;

[0023] Among them, F represents the comprehensive conformity, P is the conformity weight coefficient of each user, F is the user identification conformity of each user, n is the number of evaluation users in the current preset evaluation period, and the current preset evaluation period can be one year, half a year, one quarter or one month, etc., sorted by evaluation time, F1 is the user identification conformity of the first user in the current preset evaluation period, P1 is the conformity weight coefficient of the first user in the current preset evaluation period, and P n is the matching weight coefficient of the nth user in the current preset evaluation period, F n The user identification compliance of the nth user in the current preset evaluation period.

[0024] As a further technical solution of the present invention, the module for displaying a reminder of photo modification includes:

[0025] A conformity comparison unit, used to obtain a preset conformity and compare the preset conformity with a comprehensive conformity;

[0026] A display photo abnormality determination unit, used to determine an abnormality when the comprehensive degree of conformity is less than a preset degree of conformity, and generate a display photo modification instruction;

[0027] The display photo normal determination unit is used to determine that it is normal when the comprehensive consistency is not less than a preset consistency, and not generate a display photo modification instruction.

[0028] As a further technical solution of the present invention, the system further includes a comment display adjustment module, and the comment display adjustment module includes:

[0029] A target similarity ranking unit is used to obtain the target similarities of each user within the current preset evaluation period, and to sort the target similarities according to their sizes to obtain a target similarity ranking table;

[0030] The evaluation information sorting and displaying unit is used to sort and display the evaluation information of each user existing in the current preset evaluation period based on the target similarity sorting table.

[0031] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides a merchant data management system for an e-commerce trading platform, in which the color of the display photos uploaded by the merchant can be automatically reviewed based on the user's evaluation information, and the display photo modification instructions can be automatically generated when the color difference is too large, and the display photo can be reviewed without the customer having to file a complaint through the platform's complaint channel. In the present invention, the user's evaluation information is collected, the user's identification conformity is preliminarily determined based on the user's evaluation information, the conformity weight coefficient of each user is determined based on the user's evaluation picture and the product display information uploaded by the merchant, and the comprehensive conformity is generated based on the conformity weight coefficient of each user and the user's identification conformity, so that the higher the similarity between the image parameters of the evaluation photo attached to the user's evaluation and the image parameters of the display photo, the better the comparison effect between the evaluation photo and the display photo, the more credible it is, and malicious evaluation is avoided. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 The structure diagram of a merchant data management system for an e-commerce trading platform.

[0033] Figure 2 The present invention is a structural block diagram of a module for generating a matching weight coefficient in a merchant data management system of an e-commerce trading platform. DETAILED DESCRIPTION

[0034] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0035] like Figure 1 As shown, an embodiment of the present invention provides an e-commerce transaction platform merchant data management system, the system comprising:

[0036] The user identification conformity determination module 100 is used to obtain evaluation information of each user and determine the user identification conformity according to the user evaluation information;

[0037] The user identification conformity determination module 100 includes:

[0038] An evaluation information acquisition unit is used to acquire evaluation information of each user, wherein the evaluation information includes evaluation pictures, evaluation text and evaluation stars. Evaluation items corresponding to the evaluation stars include description match, service attitude, etc. Each evaluation item corresponds to a number of optional stars, and usually each evaluation item corresponds to 5 optional stars.

[0039] The user recognition conformity generation unit is used to determine the user recognition conformity according to the number of evaluation stars corresponding to the description conformity in the evaluation information; the more evaluation stars the user fills in in the description conformity item, the higher the corresponding user recognition conformity, and the number of evaluation stars is positively correlated with the user recognition conformity.

[0040] A conformity weight coefficient generation module 200 is used to determine the conformity weight coefficient of each user based on the user's evaluation picture and the product display information uploaded by the merchant;

[0041] A comprehensive conformity calculation module 300, for generating a comprehensive conformity according to the conformity weight coefficient of each user and the user-identified conformity;

[0042] The comprehensive conformity calculation module 300 includes:

[0043] The comprehensive compliance is generated according to the compliance weight coefficient of each user and the user's recognized compliance, and the calculation formula is as follows:

[0044] F=P1*F1+P2*F2+...P n-1 *F n-1 +P n *F n ;

[0045] Among them, F represents the comprehensive conformity, P is the conformity weight coefficient of each user, F is the user identification conformity of each user, n is the number of evaluation users in the current preset evaluation period, and the current preset evaluation period can be one year, half a year, one quarter or one month, etc., sorted by evaluation time, F1 is the user identification conformity of the first user in the current preset evaluation period, P1 is the conformity weight coefficient of the first user in the current preset evaluation period, and P n is the matching weight coefficient of the nth user in the current preset evaluation period, F n The user identification compliance of the nth user in the current preset evaluation period.

[0046] The display photo modification prompt module 400 is used to determine whether to generate a display photo modification instruction based on the comprehensive matching degree.

[0047] The photo modification prompting module 400 includes:

[0048] A conformity comparison unit, used to obtain a preset conformity, and compare the preset conformity with the comprehensive conformity, wherein the preset conformity can be set according to actual needs;

[0049] A display photo abnormality determination unit, used to determine an abnormality when the comprehensive degree of conformity is less than a preset degree of conformity, and generate a display photo modification instruction;

[0050] The display photo normal determination unit is used to determine that it is normal when the comprehensive consistency is not less than a preset consistency, and not generate a display photo modification instruction.

[0051] In this embodiment, the color of the display photos uploaded by the merchant can be automatically reviewed based on the user's evaluation information, and the display photo modification instructions can be automatically generated when the color difference is too large. The display photos can be reviewed without the customer having to file a complaint through the platform's complaint channel. In the present invention, the user's evaluation information is collected, the user's identification conformity is preliminarily determined based on the user's evaluation information, the conformity weight coefficient of each user is determined based on the user's evaluation picture and the product display information uploaded by the merchant, and the comprehensive conformity is generated based on the conformity weight coefficient of each user and the user identification conformity, so that the higher the similarity between the image parameters of the evaluation photo attached to the user's evaluation and the image parameters of the display photo, the better the comparison effect between the evaluation photo and the display photo, and the more credible it is, avoiding malicious evaluations and improving the accuracy of the review of the display photos.

[0052] See also Figure 2 As a preferred embodiment provided by the present invention, the conformity weight coefficient generation module 200 includes:

[0053] The commodity display information acquisition unit 201 is used to acquire the commodity display information uploaded by the merchant, wherein the commodity display information includes a display picture set and product description information, wherein the display picture set includes a plurality of display pictures, and the product description information includes the color, size, material, etc. of the product;

[0054] A picture parameter acquisition unit 202 is used to acquire picture parameters of the evaluation picture and the display picture respectively based on image processing software (Photoshop, Lightroom), wherein the picture parameters include parameters such as color temperature, brightness, and contrast;

[0055] The similarity determination unit 203 is used to compare each of the evaluation pictures with the picture parameters of each display picture, determine the similarity of the picture parameters of the two, and sort the similarity of the picture parameters of each user's evaluation picture and the picture parameters of the display picture; wherein, the step of determining the similarity of the picture parameters of the two can be: for each parameter, calculate the difference or percentage difference between the evaluation picture and the display picture; this can be done by simple mathematical operations, for example: difference = |evaluation picture value-display picture value|, or percentage difference = (difference / display picture value)*100%; a weight can be set for each parameter to reflect its importance in the overall similarity assessment. Calculate the overall similarity score, usually the weighted sum of all parameter differences or percentage differences.

[0056] A target similarity extraction unit 204 is used to obtain the maximum value of the similarity of each user as the target similarity of this user;

[0057] The conformity weight coefficient confirmation unit 205 is used to determine the conformity weight coefficient of each user according to the target similarity of each user, and the target similarity of the picture parameters is positively correlated with the conformity weight coefficient.

[0058] In this embodiment, by comparing the evaluation picture with the picture parameters of the display picture, the similarity of the picture parameters of the two is determined, the maximum value of the similarity of each user is obtained as the target similarity of this user, and the weight coefficient of the degree of conformity of each user is determined according to the target similarity of each user. In this embodiment, the higher the similarity, the more similar the picture parameters of the evaluation photo and the display photo are, and the higher the similarity of the lighting environment of the evaluation photo and the display photo is, the better the comparison effect of the evaluation photo and the display photo is, and the more credible it is, and malicious evaluation is avoided.

[0059] See also Figure 1 As a preferred embodiment provided by the present invention, the system further includes a comment display adjustment module 500, and the comment display adjustment module 500 includes:

[0060] A target similarity ranking unit is used to obtain the target similarities of each user within the current preset evaluation period, and to sort the target similarities according to their sizes to obtain a target similarity ranking table;

[0061] The evaluation information sorting and displaying unit is used to sort and display the evaluation information of each user existing in the current preset evaluation period based on the target similarity sorting table.

[0062] In this embodiment, full utilization of the target similarity of each user is achieved, and a method is provided for displaying user evaluation information within the current preset evaluation period in the order of the target similarity ranking table, which helps consumers to effectively identify whether the color of the clothes in the display photos uploaded by the merchant is too different from the actual product.

[0063] It should be noted that, in this article, the term "comprises" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0064] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An e-commerce transaction platform merchant data management system, characterized in that: The system comprises: A user identification conformity determination module is used to obtain evaluation information of each user and determine the user identification conformity based on the user's evaluation information; A matching weight coefficient generation module is used to determine the matching weight coefficient of each user based on the user's evaluation picture and the product display information uploaded by the merchant; A comprehensive conformity calculation module, used for generating a comprehensive conformity according to the conformity weight coefficient of each user and the user-identified conformity; The display photo modification prompt module is used to determine whether to generate a display photo modification instruction based on the comprehensive consistency.

2. The e-commerce transaction platform merchant data management system according to claim 1, characterized in that: The user identification conformity determination module comprises: An evaluation information acquisition unit, used to acquire evaluation information of each user, wherein the evaluation information includes evaluation pictures, evaluation text and evaluation star numbers, and the evaluation items corresponding to the evaluation star numbers include description conformity and service attitude; The user identification conformity generation unit is used to determine the user identification conformity according to the number of evaluation stars corresponding to the description in the evaluation information.

3. The e-commerce transaction platform merchant data management system according to claim 2, characterized in that: The conformity weight coefficient generation module includes: A commodity display information acquisition unit, used to acquire commodity display information uploaded by a merchant, wherein the commodity display information includes a display picture set and product description information, wherein the display picture set includes a plurality of display pictures; A picture parameter acquisition unit, used to acquire picture parameters of the evaluation picture and the display picture; A similarity determination unit, used to compare each of the evaluation pictures with the picture parameters of each display picture, determine the similarity of the picture parameters of the two, and sort the similarity between each user's evaluation picture and the picture parameters of the display picture; A target similarity extraction unit, used to obtain the maximum value of the similarity of each user as the target similarity of this user; The conformity weight coefficient confirmation unit is used to determine the conformity weight coefficient of each user according to the target similarity of each user.

4. The e-commerce transaction platform merchant data management system according to claim 1, characterized in that: The comprehensive conformity calculation module includes: The comprehensive compliance is generated according to the compliance weight coefficient of each user and the user's recognized compliance, and the calculation formula is as follows: F=P1*F1+P2*F2+…P n-1 *F n-1 +P n *F n ; Among them, F represents the comprehensive conformity, P is the conformity weight coefficient of each user, F is the user-recognized conformity of each user, n is the number of evaluation users in the current preset evaluation period, sorted by evaluation time, F1 is the user-recognized conformity of the first user in the current preset evaluation period, P1 is the conformity weight coefficient of the first user in the current preset evaluation period, and P n is the matching weight coefficient of the nth user in the current preset evaluation period, F n The user identification compliance of the nth user in the current preset evaluation period.

5. The e-commerce transaction platform merchant data management system according to claim 1, characterized in that: The photo modification prompt display module includes: A conformity comparison unit, used to obtain a preset conformity and compare the preset conformity with a comprehensive conformity; A display photo abnormality determination unit, used to determine an abnormality when the comprehensive degree of conformity is less than a preset degree of conformity, and generate a display photo modification instruction; The display photo normal determination unit is used to determine that it is normal when the comprehensive consistency is not less than a preset consistency, and not generate a display photo modification instruction.

6. The e-commerce transaction platform merchant data management system according to claim 3, characterized in that: The system further includes a comment display adjustment module, which includes: A target similarity ranking unit is used to obtain the target similarities of each user within the current preset evaluation period, and to sort the target similarities according to their sizes to obtain a target similarity ranking table; The evaluation information sorting and displaying unit is used to sort and display the evaluation information of each user existing in the current preset evaluation period based on the target similarity sorting table.

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