CN117194764B

CN117194764B - A product display method, device and medium based on a multi-platform integrated mall

Info

Publication number: CN117194764B
Application number: CN202310301229.8A
Authority: CN
Inventors: 黄新亮; 蒋浩
Original assignee: Inspur Smart Cloud Chain Sichuan Supply Chain Technology Co ltd; Shandong Inspur Smart Supply Chain Technology Co Ltd; Shandong Inspur IGO Cloud Chain Information Technology Co Ltd; Inspur Digital Cloud Chain Yunnan Supply Chain Technology Co Ltd
Current assignee: Inspur Smart Cloud Chain Sichuan Supply Chain Technology Co ltd; Shandong Inspur Smart Supply Chain Technology Co Ltd; Shandong Inspur IGO Cloud Chain Information Technology Co Ltd; Inspur Digital Cloud Chain Yunnan Supply Chain Technology Co Ltd
Priority date: 2023-03-22
Filing date: 2023-03-22
Publication date: 2025-09-26
Anticipated expiration: 2043-03-22
Also published as: CN117194764A

Abstract

The embodiment of the specification discloses a commodity display method, equipment and medium based on a multi-platform fusion mall, and relates to the technical field of computers, wherein the method comprises the steps of obtaining the purchasing demand of a purchasing user, wherein the purchasing demand comprises any one or more of purchasing price demand, purchasing after-sales demand and commodity matching degree demand; the method comprises the steps of determining commodity element weights corresponding to specified purchasing demands based on the specified purchasing demands of purchasing users, obtaining commodity information to be displayed of a plurality of commodities to be displayed, wherein the commodity information to be displayed comprises commodity categories, commodity prices, commodity logistics, commodity purchasing data and commodity attribution electronic commerce platforms, determining demand matching coefficients between each commodity to be displayed and the purchasing users according to the commodity element weights corresponding to the specified purchasing demands and the commodity information to be displayed, and displaying the commodities to be displayed in sequence according to the demand matching coefficients between each commodity to be displayed and the purchasing users.

Description

Goods display method, equipment and medium based on multi-platform fusion mall

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, and a medium for displaying goods based on a multi-platform fusion mall.

Background

The multi-platform integrated shopping mall is a comprehensive service mall integrating various electronic commerce platforms and sales platforms, for example, an favorite shopping mall which is a novel electronic commerce network in all industries and all states and is presented in a brand new mode of integrating electronic commerce and ground entity commerce, and aims to provide development and application of an effective third-party sales promotion platform for merchants, provide a really-obtained actual consumption value-added mode for consumers, and finally enable the merchants to promote sales volume, increase profits, lock the consumers for life and enable the consumers to realize consumption value-added.

In a multi-platform fusion mall, the same commodity is provided with corresponding suppliers in different electronic commerce platforms, the commodity supplied by different suppliers may have different logistics, price and commodity matching, and the purchasing requirements of different users on the commodity are different. When a user needs to select and purchase goods in the multi-platform fusion mall, the user needs to click on a goods link in each electronic commerce platform, check goods information and compare the goods information to determine what goods to select. Therefore, the conventional mode of displaying commodities by the multi-platform fusion mall cannot provide convenience for users, and the operation flow of the users is increased.

Disclosure of Invention

One or more embodiments of the present disclosure provide a method, an apparatus, and a medium for displaying a commodity based on a multi-platform fusion mall, which are used for solving the technical problem that a manner of displaying the commodity by an existing multi-platform fusion mall cannot provide convenience for a user, and increases an operation flow of the user.

One or more embodiments of the present disclosure adopt the following technical solutions:

The embodiment of the specification provides a commodity display method based on a multi-platform fusion mall, which is characterized by comprising the steps of obtaining appointed purchasing requirements of purchasing users, determining commodity element weights corresponding to the appointed purchasing requirements based on the appointed purchasing requirements of the purchasing users, obtaining commodity information to be displayed of a plurality of commodities to be displayed in the multi-platform fusion mall, wherein the commodity information to be displayed comprises commodity types, commodity prices, commodity logistics, commodity purchasing data and commodity attribution electric commodity platforms, determining requirement matching coefficients between each commodity to be displayed and the purchasing users according to the commodity element weights corresponding to the appointed purchasing requirements and the commodity information to be displayed, and displaying the commodities to be displayed sequentially according to the requirement matching coefficients between each commodity to be displayed and the purchasing users.

The method comprises the steps of obtaining a plurality of historical purchase orders of a purchasing user and order information of each historical purchase order, wherein the order information comprises commodity class data, commodity feedback data and order attribution platforms, collecting current required commodity classes of the purchasing user based on a preset triggering mode, determining a plurality of appointed historical purchase orders in the plurality of historical purchase orders according to the current required commodity classes and commodity classes in each historical purchase order, wherein the commodity classes of the appointed historical purchase orders are identical to the current required commodity classes, classifying the appointed historical purchase orders according to commodity feedback data in the appointed historical purchase orders to obtain a first classification result, wherein the first classification result comprises a plurality of commodity feedback and the order quantity of each commodity feedback corresponding to the historical purchase order, classifying the appointed historical purchase orders according to the order attribution platforms in the appointed historical purchase orders to obtain a second classification result, wherein the second classification result comprises a plurality of electric platforms and commodity quantity of each electric platform corresponding to the current required commodity class, and determining the purchase demand of the purchasing platform according to the current demand of the commodity classes.

The purchasing user purchasing demand of the current demand commodity category is determined according to the first classification result and the second classification result, and concretely comprises the steps of determining the appointed commodity feedback order number of appointed commodity feedback with the largest order number in a plurality of commodity feedback according to the order number of historical purchasing orders corresponding to each commodity feedback in the first classification result, determining the appointed electric commerce platform order number of appointed electric commerce platforms with the largest order number in a plurality of electric commerce platforms according to the order number of historical purchasing orders corresponding to each electric commerce platform in the second classification result, determining the appointed element with the largest order number according to the appointed commodity feedback order number and the appointed electric commerce platform order number, wherein the appointed element comprises any one of commodity feedback and electric commerce platforms, determining the user demand as commodity matching degree demand when the appointed element is the commodity feedback, obtaining the preset attributes of the plurality of electric commerce platforms when the appointed element is the electric Shang Ping platform, and determining the user demand attribute according to the appointed electric commerce platform, wherein the attributes comprise low-price attributes and purchasing attributes.

Further, based on the appointed purchasing requirement of the purchasing user, determining commodity element weights corresponding to the appointed purchasing requirement, which concretely comprises the steps of obtaining a preset purchasing requirement and commodity element weight mapping table, wherein the purchasing requirement and commodity element weight mapping table comprises a plurality of purchasing requirements and commodity element weights corresponding to each purchasing requirement, determining the appointed purchasing requirement of the purchasing user, and determining the commodity element weights corresponding to the appointed purchasing requirement in the purchasing requirement and commodity element weight mapping table.

Further, according to commodity element weights corresponding to the appointed purchasing demands and the commodity information to be displayed, a demand matching coefficient between each commodity to be displayed and the purchasing user is determined, and the method specifically comprises the steps of determining price element weights, logistics element weights and feedback element weights corresponding to the appointed purchasing demands, determining commodity price scores, commodity logistics scores and commodity feedback scores of each commodity to be displayed according to the commodity information to be displayed of each commodity to be displayed, generating price factors of each commodity to be displayed according to the price element weights and the commodity price scores, generating logistics factors of each commodity to be displayed according to the logistics element weights and the commodity logistics scores, generating feedback factors of each commodity to be displayed according to the feedback element weights and the commodity feedback scores, and generating demand matching coefficients between each commodity to be displayed and the purchasing user according to the price factors, the logistics factors and the feedback factors.

The method comprises the steps of obtaining commodity information to be displayed of each commodity to be displayed, determining commodity price scores of each appointed commodity to be displayed based on commodity types and commodity prices in the commodity information to be displayed, generating commodity logistics scores of each commodity to be displayed based on commodity logistics in the commodity information to be displayed and a plurality of historical commodity purchasing information of each commodity to be displayed, and generating commodity feedback scores of each commodity to be displayed based on commodity purchasing data in the commodity information to be displayed and uploading commodity information uploaded by a commodity provider.

Further, determining a commodity price score of each appointed commodity to be displayed based on the commodity class and the commodity price in the commodity information to be displayed, and specifically comprises the steps of obtaining the commodity class and the commodity price of each commodity to be displayed; arranging a plurality of appointed commodities to be displayed belonging to the same commodity category according to a commodity price sequence from high to low to generate a commodity sequence of the plurality of appointed commodities to be displayed, wherein the commodity sequence comprises a sequence number which is inversely related to the commodity price, generating a commodity price grading of each appointed commodity to be displayed according to the sequence number of the commodity sequence of the plurality of appointed commodities to be displayed, wherein the commodity price grading is positively related to the sequence number, generating a commodity circulation grading of each commodity to be displayed based on commodity circulation in commodity information to be displayed and a plurality of historical commodity purchasing information of each commodity to be displayed, specifically comprising acquiring commodity circulation of each commodity to be displayed and a plurality of historical commodity purchasing information of each commodity to be displayed, wherein each historical commodity purchasing information comprises a historical shipping time and a historical arrival time, determining an actual commodity circulation interval according to the historical shipping time and the historical arrival time of each commodity to be displayed, determining a commodity circulation grading according to the actual commodity circulation grading, determining a commodity circulation grading according to the actual commodity circulation grade, and the commodity circulation grading is set according to the commodity circulation grading of each commodity circulation to be displayed in advance, and the commodity circulation grading is set up according to the commodity circulation grade to be displayed, the commodity feedback score generation method comprises the steps of generating commodity logistics scores of all commodities to be displayed, generating commodity feedback scores of all commodities to be displayed according to commodity purchase data in commodity information to be displayed and uploading commodity information uploaded by a commodity provider, and specifically comprises the steps of acquiring commodity purchase data of all commodities to be displayed and uploading commodity information uploaded by the commodity provider, wherein the commodity purchase data comprises purchased user feedback texts and purchased user feedback images, the uploading commodity information comprises uploading commodity texts and uploading commodity images, conducting text matching on the purchased user feedback texts and the uploading commodity texts to determine text matching rates, conducting image matching on the purchased user feedback images and the uploading commodity images to determine image matching rates, and generating the commodity feedback scores according to the text matching rates and the image matching rates.

Further, according to the demand matching coefficient between each commodity to be displayed and the purchasing user, sequentially displaying the plurality of commodities to be displayed, wherein the method specifically comprises the steps of obtaining commodity types and commodity attribution electronic commerce platforms in commodity information to be displayed of each commodity to be displayed; classifying a plurality of commodities to be displayed according to the commodity classes to obtain a plurality of commodity groups to be displayed, wherein the commodities to be displayed in each commodity group to be displayed belong to the same commodity class, calculating a first average matching coefficient of the commodity groups to be displayed corresponding to each commodity class according to a demand matching coefficient between each commodity to be displayed and the purchasing user, sorting the plurality of commodity groups to be displayed according to the first average matching coefficient to serve as a first sorting, sorting the commodities to be displayed in each commodity group to be displayed according to the commodity attribution platform to obtain a plurality of commodity subgroups to be displayed, wherein the commodities to be displayed in each commodity subgroup to be displayed belong to the same attribution platform, calculating a second average matching coefficient of the commodity subgroups to be displayed corresponding to each attribution platform according to the demand matching coefficient between each commodity to be displayed and the purchasing user, sorting the commodities to be displayed among the plurality of commodity subgroups to serve as second sorting groups to serve as the commodity groups to be displayed according to the second average matching coefficient, sorting the commodities to be displayed in each commodity group to be displayed according to the first sorting and the purchasing user to the demand matching coefficient to the commodity groups to be displayed in the commodity groups to be displayed and the purchasing user, and displaying the plurality of commodities to be displayed in the multi-platform fusion mall in sequence.

One or more embodiments of the present specification provide a merchandise display device based on a multi-platform fusion mall, comprising:

at least one processor, and

A memory communicatively coupled to the at least one processor, wherein,

The memory stores instructions executable by the at least one processor, the instructions are executable by the at least one processor to enable the at least one processor to:

The method comprises the steps of obtaining appointed purchasing demands of purchasing users, wherein the appointed purchasing demands comprise any one or more of purchasing price demands, purchasing after-sales demands and commodity matching degree demands, determining commodity element weights corresponding to the appointed purchasing demands based on the appointed purchasing demands of the purchasing users, wherein the commodity elements comprise price elements, logistics elements and feedback elements, obtaining commodity information to be displayed of a plurality of commodities to be displayed in a multi-platform fusion mall, wherein the commodity information to be displayed comprises commodity types, commodity prices, commodity logistics, commodity purchasing data and commodity attribution electric commodity platforms, determining requirement matching coefficients between each commodity to be displayed and the purchasing users according to the commodity element weights corresponding to the appointed purchasing demands and the commodity information to be displayed, and sequentially displaying the commodities to be displayed according to the requirement matching coefficients between each commodity to be displayed and the purchasing users.

One or more embodiments of the present specification provide a non-volatile computer storage medium storing computer-executable instructions configured to:

The technical scheme adopted by the embodiment of the specification has the advantages that the purchasing requirement of the purchasing user is taken as an in-point, the commodity element weight is determined according to the purchasing requirement, various commodity elements are considered, the commodity information and the commodity element weight in the multi-platform fusion mall are combined, the requirement matching coefficient between each commodity and the purchasing user is generated, and the commodity is displayed according to the requirement matching coefficient, so that the situation that the user repeatedly views a plurality of commodity information is avoided, the operation steps and the operation flow of the user are reduced, in addition, the commodity display arrangement is based on the requirement of the user, the purchasing requirement of the current purchasing user is more met, the commodity display method has pertinence, convenience is provided for the user, and the transaction amount of the platform is further improved.

Drawings

In order to more clearly illustrate the embodiments of the present description or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some of the embodiments described in the present description, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. In the drawings:

fig. 1 is a schematic flow chart of a commodity display method based on a multi-platform fusion mall according to an embodiment of the present disclosure;

fig. 2 is a schematic structural diagram of a commodity display apparatus based on a multi-platform fusion mall according to an embodiment of the present disclosure.

Detailed Description

In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present disclosure.

The embodiment of the present disclosure provides a commodity display method based on a multi-platform fusion mall, and it should be noted that an execution subject in the embodiment of the present disclosure may be a server, or may be any device having data processing capability. Fig. 1 is a schematic flow chart of a commodity display method based on a multi-platform fusion mall according to an embodiment of the present disclosure, as shown in fig. 1, mainly including the following steps:

Step S101, obtaining the appointed purchasing requirement of the purchasing user.

In one embodiment of the present description, the purchasing requirements of different users are different, where the purchasing requirements include any one or more of purchasing price requirements, purchasing after-market requirements, and commodity matching requirements. The purchasing price requirement refers to a first element which takes the price of the commodity as a choice when a purchasing user purchases the commodity, the purchasing after-sale requirement refers to an element which is used by the purchasing user to preferentially select after-sale service of the commodity when the purchasing user purchases the commodity as a choice element, and the commodity matching degree requirement refers to the matching degree of the display information and the actual information of the commodity, for example, the matching degree of a buyer show and a seller show, and the purchasing user preferentially selects the commodity with higher commodity matching degree when the purchasing user purchases the commodity.

The method comprises the steps of obtaining a plurality of historical purchase orders of a purchasing user and order information of each historical purchase order, wherein the order information comprises commodity class data, commodity feedback data and order attribution platforms, collecting current demand commodity classes of the purchasing user based on a preset triggering mode, determining a plurality of appointed historical purchase orders in the plurality of historical purchase orders according to the current demand commodity classes and commodity classes in each historical purchase order, wherein the commodity classes of the appointed historical purchase orders are identical to the current demand commodity classes, classifying the appointed historical purchase orders according to commodity feedback data in the appointed historical purchase orders to obtain a first classification result, wherein the first classification result comprises a plurality of commodity feedback and the order quantity of the historical purchase orders corresponding to each commodity feedback, classifying the appointed historical purchase orders according to the order attribution platforms in the appointed historical purchase orders to obtain a second classification result, wherein the second classification result comprises a plurality of electric commodity platforms and the commodity quantity of the purchase orders corresponding to each electric commodity platform, and determining the first classification result of the current demand commodity classes according to the first classification result of the purchasing orders of the purchasing user.

In one embodiment of the present description, the purchasing demand of the purchasing user may be obtained through the purchasing user's historical order. The method comprises the steps of acquiring a plurality of historical purchase orders of a purchasing user, wherein order information of each historical purchase order comprises commodity class data, such as commodity categories of purchased commodities in the order, commodity feedback data, wherein the commodity feedback data can be user evaluation of the purchased user, an order attribution platform can be included, and the order attribution platform can be a plurality of electronic commerce platforms, such as Beijing east, american group and the like. When a user needs to purchase goods in the multi-platform fusion mall, the goods to be purchased, which are input by the user, can be collected in the form of a pop-up dialog box, namely, a plurality of goods types such as daily necessities, fresh foods, beauty care products and the like, which are required at present. And carrying out order screening in the plurality of historical purchase orders according to the current demand commodity class required by the user to obtain a plurality of appointed historical purchase orders identical to the current demand commodity class.

Classifying the selected multiple appointed historical purchase orders according to commodity feedback data of each order to obtain a first classification result, wherein the first classification result comprises multiple commodity feedback and the order number of the historical purchase orders corresponding to each commodity feedback. For example, the commodity feedback includes good, medium and bad comments, in the first classification result, commodities for which feedback is good are classified into one type, commodities for which feedback is medium are classified into one type, commodities for which feedback is bad are classified into one type, and the good order number, medium order number and bad order number of the good commodity are acquired respectively. It should be noted that, the commodity feedback data of each order may be feedback information with the largest number among all purchased user evaluations of the commodity.

In addition, the plurality of specified historical purchase orders obtained through screening are classified according to the order attribution platform of each order, and a second classification result is obtained, wherein the second classification result comprises a plurality of electronic commerce platforms and the order quantity of the historical purchase orders corresponding to each electronic commerce platform. For example, from a plurality of designated historical purchase orders, orders belonging to the A-stage are classified and the number of orders is counted.

The method comprises the steps of determining the purchasing demands of a purchasing user on the commodity category with current demands according to a first classification result and a second classification result, determining the appointed commodity feedback order quantity of appointed commodity feedback with the largest order quantity in a plurality of commodity feedback according to the order quantity of historical purchasing orders corresponding to each commodity feedback in the first classification result, determining the appointed electronic commerce platform order quantity of appointed electronic commerce platforms with the largest order quantity in a plurality of electronic commerce platforms according to the order quantity of historical purchasing orders corresponding to each electronic commerce platform in the second classification result, determining the appointed element with the largest amount according to the appointed commodity feedback order quantity and the appointed electronic commerce platform order quantity, wherein the appointed element comprises any one of commodity feedback and electronic commerce platforms, determining the user demands as commodity matching degree demands when the appointed element is the commodity feedback, acquiring preset platform attributes of the plurality of electronic commerce platforms when the appointed element is the electronic commerce platform, and determining the demands of the user according to the platform attributes corresponding to the appointed electronic commerce platforms, wherein the appointed electronic commerce platform demands comprise low price attributes and after-sale attributes.

In one embodiment of the present disclosure, since the first classification result includes a plurality of commodity feedback and the order number corresponding to each commodity feedback, the designated commodity feedback order number of the designated commodity feedback with the largest order number among the plurality of commodity feedback is determined according to the order number of the historical purchase order corresponding to each commodity feedback in the first classification result. That is, assuming that in the first classification result, the number of orders for good feedback is 400, the number of orders for medium feedback is 99, and the number of orders for poor feedback is 1, the 400 good feedback with the largest number of orders is determined as the designated commodity feedback order number. Likewise, the second classification result includes a plurality of e-commerce platforms and the order number of the historical purchase order corresponding to each e-commerce platform. That is, assume that in the second classification result, the number of orders of the jindong platform is 300, the number of orders of the Su Ningyi purchase platform is 100, and the number of orders of the mei platform is 100. And taking the order quantity 300 of the Beijing east platform with the largest order quantity as the order quantity of the designated E-commerce platform. Comparing the number of the appointed commodity feedback orders with the number of the appointed electronic commerce platform orders, determining the appointed element with the largest number, for example, 400 appointed commodity feedback orders and 300 appointed electronic commerce platform orders, and taking commodity feedback as the appointed element.

When the specified element is commodity feedback, the commodity feedback condition can reflect the evaluation of the purchased user on the actual commodity, so that the more the commodity feedback in the historical order of the user is good, the higher the matching degree of the commodity is, and the higher the matching degree requirement of the user on the commodity is, and therefore the user requirement is determined to be the commodity matching degree requirement. When the designated element is the e-commerce platform, platform attributes are set for a plurality of e-commerce platforms in advance, for example, the platform attributes of the group purchase platform are low-price platform attributes, the preset platform attributes of the plurality of e-commerce platforms are obtained, and the purchasing requirements of purchasing users are determined according to the platform attributes corresponding to the designated e-commerce platforms, wherein the platform attributes comprise the low-price platform attributes and the after-sale platform attributes. And determining the appointed purchasing requirement of the purchasing user as the purchasing price requirement when the platform attribute corresponding to the appointed e-commerce platform is a low-price platform attribute, and determining the appointed purchasing requirement of the purchasing user as the purchasing after-sales requirement when the platform attribute corresponding to the appointed e-commerce platform is an after-sales platform attribute.

Step S102, determining commodity element weights corresponding to the specified purchasing requirements based on the specified purchasing requirements of the purchasing user.

Wherein the commodity element comprises a price element, a logistics element and a feedback element.

The method comprises the steps of obtaining preset purchasing demands and a commodity element weight mapping table, wherein the purchasing demands and commodity element weight mapping table comprises a plurality of purchasing demands and commodity element weights corresponding to each purchasing demand, determining the purchasing demands of the purchasing users, and determining the commodity element weights corresponding to the purchasing demands in the purchasing demands and commodity element weight mapping table.

In an embodiment of the present disclosure, the commodity element weights corresponding to different purchasing demands are different, and the commodity element weight corresponding to the designated purchasing demand of the purchasing user may be determined by presetting the form of the purchasing demand and the commodity element weight mapping table. For example, the price element is larger than the logistics element and the price element is larger than the feedback element in the commodity element weight corresponding to the purchasing price demand, the logistics element is larger than the price element and the logistics element is larger than the feedback element in the commodity element weight corresponding to the purchasing after-sales demand, and the feedback element is larger than the logistics element and the feedback element is larger than the price element in the commodity element weight corresponding to the commodity matching degree demand. When the weight distribution is performed among the price element, the logistics element and the feedback element, the distribution can be performed according to a mode of 3:1:1, for example, the element weight corresponding to the price element in the purchasing price requirement is set to 0.6, the element weights corresponding to the logistics element and the feedback element are respectively set to 0.2, the feedback element weight in the commodity matching degree requirement is set to 0.6, the element weights corresponding to the logistics element and the price element are respectively set to 0.2, the element weight of the logistics element in the purchasing after-sales requirement is set to 0.6, and the element weights of the feedback element and the price element are respectively set to 0.2.

Step S103, obtaining information of the commodities to be displayed of a plurality of commodities to be displayed in the multi-platform fusion mall.

In one embodiment of the present disclosure, obtaining information of a plurality of commodities to be displayed in a multi-platform fusion mall, where the information of the commodities to be displayed includes commodity category, commodity price, commodity logistics, commodity purchase data, and commodity attribution e-commerce platform;

Step S104, determining a demand matching coefficient between each commodity to be displayed and the purchasing user according to the commodity element weight corresponding to the designated purchasing demand and the commodity information to be displayed.

The method comprises the steps of determining a price element weight, a logistics element weight and a feedback element weight corresponding to appointed purchasing requirements, determining a commodity price score, a commodity logistics score and a commodity feedback score of each commodity to be displayed according to commodity information to be displayed of each commodity to be displayed, generating a price factor of each commodity to be displayed according to the price element weight and the commodity price score, generating a logistics factor of each commodity to be displayed according to the logistics element weight and the commodity logistics score, generating a feedback factor of each commodity to be displayed according to the feedback element weight and the commodity feedback score, and generating a demand matching factor between each commodity to be displayed and the purchasing user according to the price factor, the logistics factor and the feedback factor.

In one embodiment of the present disclosure, the commodity price score, the commodity circulation score, and the commodity feedback score of each commodity to be displayed are determined according to the commodity information to be displayed of each commodity to be displayed. It should be noted that the commodity price score, the commodity circulation score and the commodity feedback score all belong to the same score interval, for example, the score is between 0 and 10. And obtaining the price factor of each commodity to be displayed through the product of the price element weight and the commodity price score. And obtaining the logistics factor of each commodity to be displayed based on the product of the logistics factor weight and the commodity logistics score. And generating a feedback factor of each commodity to be displayed according to the product of the feedback element weight and the commodity feedback score. And taking the sum of the price factor, the logistics factor and the feedback factor as a demand matching coefficient between each commodity to be displayed and the purchasing user. The larger the demand matching coefficient is, the commodity to be displayed can meet the purchasing demand of the purchasing user.

The commodity price grading method comprises the steps of determining commodity price grading, commodity logistics grading and commodity feedback grading of each commodity to be displayed according to commodity information to be displayed of each commodity to be displayed, determining commodity price grading of each appointed commodity to be displayed according to commodity class and commodity price in the commodity information to be displayed, generating commodity logistics grading of each commodity to be displayed according to commodity logistics in the commodity information to be displayed and a plurality of historical commodity purchasing information of each commodity to be displayed, and generating commodity feedback grading of each commodity to be displayed according to commodity purchasing data in the commodity information to be displayed and uploading commodity information uploaded by a commodity supplier.

The method comprises the steps of determining a commodity price score of each appointed commodity to be displayed based on commodity class and commodity price in commodity information to be displayed, and specifically comprises the steps of obtaining commodity class and commodity price of each appointed commodity to be displayed, arranging a plurality of appointed commodities to be displayed belonging to the same commodity class according to a commodity price sequence from high to low to generate a plurality of appointed commodity sequences to be displayed, wherein the commodity sequences comprise sequence numbers which are inversely related to the commodity price, and generating commodity price scores of each appointed commodity to be displayed according to the sequence numbers of the commodity sequences of the appointed commodities, wherein the commodity price scores and the sequence numbers are positively related.

In one embodiment of the present description, a commodity price score for each specified commodity to be displayed is generated from the commodity class and commodity price in the commodity information to be displayed. Firstly, arranging a plurality of appointed commodities to be displayed, which belong to the same commodity class, according to the order of the prices from high to low, and setting the sequence number of each appointed commodity to be displayed, for example, the sequence numbers of 1,2 and 3, wherein the larger the sequence number is, the lower the corresponding commodity price is. And generating commodity price scores according to the serial numbers of the commodity sequences of each appointed commodity to be displayed. It should be noted that, the price score of the commodity is between 0 and 10, the higher the price score is, the larger the corresponding serial number is, and the lower the corresponding commodity price is. When the prices of the two commodities are the same, the same serial numbers may be set. Assuming that there are 10 commodities in total, the sequence numbers of each commodity are obtained by sorting according to the commodity prices, and at this time, since only 10 commodities can directly score the sequence numbers as prices. If more than 10 commodities, for example, 100 commodities, are present, the resulting sequence number is a positive integer number between 1-100, the sequence number is divided by 10, and the sequence number is converted to a commodity price score between 0 and 10.

The commodity circulation grading method comprises the steps of obtaining commodity circulation of each commodity to be displayed and multiple historical commodity purchasing information of each commodity to be displayed based on commodity circulation of the commodity to be displayed and multiple historical commodity purchasing information of each commodity to be displayed, determining an actual circulation interval according to the historical delivery time and the historical arrival time of each commodity to be displayed, determining a historical circulation grading of each commodity to be displayed based on the actual circulation interval, determining a standard circulation grading of each commodity to be displayed according to commodity circulation of each commodity to be displayed and preset corresponding standard circulation grading of each commodity circulation, and correcting the standard circulation grading through the historical circulation grading to generate the commodity circulation grading of each commodity to be displayed.

In one embodiment of the present description, a commodity circulation of each commodity to be displayed is obtained, and a historical shipping time and a historical arrival time of each commodity to be displayed. And determining an actual logistics interval, namely the actual transportation time corresponding to logistics in the purchased orders of each commodity to be displayed, according to the difference value between the historical shipping time and the historical arrival time of each commodity to be displayed. Through the actual logistics interval, the historical logistics scores of the commodities to be displayed are determined, the scoring mode can determine the historical logistics scores of each commodity to be displayed according to the sorting mode of the actual logistics interval, and the smaller the actual logistics interval is, the higher the corresponding historical logistics scores are. And determining the standard logistics score of each commodity to be displayed according to the commodity logistics of each commodity to be displayed and the preset standard logistics score corresponding to each commodity logistics. It should be noted that, the standard logistics scores corresponding to different logistics are different, where the standard logistics score may be a user score of each logistics obtained by the platform, and is used to represent a base score of the logistics. And converting the standard logistics scores so as to correct the standard logistics scores through the historical logistics scores, generating commodity logistics scores of each commodity to be displayed, wherein the obtained commodity logistics scores can be scores ranging from 0 to 10.

The commodity feedback score of each commodity to be displayed is generated according to commodity purchase data of the commodity to be displayed and pre-acquired uploaded commodity information uploaded by a commodity supplier, and specifically comprises the steps of acquiring commodity purchase data of each commodity to be displayed and uploaded commodity information uploaded by the commodity supplier, wherein the commodity purchase data comprises purchased user feedback texts and purchased user feedback images, the uploaded commodity information comprises uploaded commodity texts and uploaded commodity images, conducting text matching on the purchased user feedback texts and the uploaded commodity texts, determining text matching rate, conducting image matching on the purchased user feedback images and the uploaded commodity images, determining image matching rate, and generating the commodity feedback score according to the text matching rate and the image matching rate.

In one embodiment of the present disclosure, commodity purchase data of each of the commodities to be displayed and uploaded commodity information uploaded by a commodity supplier are obtained, the commodity purchase data including a purchased user feedback text and a purchased user feedback image, and the uploaded commodity information including an uploaded commodity text and an uploaded commodity image. The method comprises the steps of carrying out text information matching on a purchased user feedback text and an uploaded commodity text, determining text matching rate, carrying out image matching on a purchased user feedback image and an uploaded commodity image, determining image matching rate, and generating commodity feedback scores according to the sum of the text matching rate and the image matching rate.

Step S105, displaying the plurality of commodities to be displayed in sequence according to the requirement matching coefficient between each commodity to be displayed and the purchasing user.

The method comprises the steps of sequentially displaying a plurality of commodities to be displayed according to demand matching coefficients between each commodity to be displayed and a purchasing user, and specifically comprises the steps of obtaining commodity class and commodity attribution electronic commodity platform in commodity information of each commodity to be displayed, classifying the plurality of commodities to be displayed according to the commodity class to obtain a plurality of commodity groups to be displayed, wherein the commodities to be displayed in each commodity group to be displayed belong to the same commodity class, calculating a first average matching coefficient of the commodity groups to be displayed corresponding to each commodity class according to the demand matching coefficients between each commodity to be displayed and the purchasing user, sorting the plurality of commodity groups to be displayed according to the first average matching coefficient to be used as a first sorting, sorting the commodities to be displayed in each commodity group to be used as the attribution platform to obtain a plurality of commodity subgroups to be displayed, calculating a second average matching coefficient of the commodity groups to be displayed according to the demand matching coefficients between the first average matching coefficient, and the commodity groups to be displayed according to the second average matching coefficient to the first average matching coefficient, and the commodity groups to be displayed in the commodity groups to be displayed to be used as a second sorting coefficient to be displayed, and the attribution the commodity attribution platform to be displayed to obtain a plurality of commodity subgroups to be displayed.

In one embodiment of the present disclosure, since the merchandise to be displayed includes a plurality of merchandise categories, the merchandise category and the merchandise attribution e-commerce platform in the merchandise information to be displayed of each merchandise to be displayed are obtained. Classifying the commodities to be displayed according to commodity categories, and classifying the commodities to be displayed belonging to the same commodity category into a group to obtain a plurality of commodity groups to be displayed. And in each commodity group to be displayed, calculating the average value of the matching coefficients of the commodity group to be displayed corresponding to each commodity class according to the demand matching coefficient between each commodity to be displayed and the purchasing user, and generating a first average matching coefficient. And sorting the plurality of commodity groups to be displayed among the groups according to the first average matching coefficient, and taking the commodity groups to be displayed as a first sorting.

Classifying the commodities to be displayed in each commodity group to be displayed according to the commodity attribution platform to obtain a plurality of commodities to be displayed which belong to the same commodity attribution platform as a group respectively, and obtaining a plurality of commodity subgroups to be displayed. And calculating the average matching coefficient of the commodity subgroup to be displayed corresponding to each commodity attribution platform according to the demand matching coefficient between each commodity to be displayed and the purchasing user, and obtaining a second average matching coefficient. And sorting the plurality of commodity subgroups to be displayed among groups according to the second average matching coefficient to serve as a second sorting.

And sorting the commodities to be displayed in the plurality of commodity subgroups to be displayed in groups according to the requirement matching coefficient between each commodity to be displayed in the commodity subgroups to be displayed and the purchasing user, and taking the commodity to be displayed as a third sorting. And sequentially displaying the plurality of commodities to be displayed in the multi-platform fusion mall according to the first ordering, the second ordering and the third ordering.

According to the technical scheme, the purchasing demands of purchasing users are taken as the cut-in points, the commodity element weights are determined according to the purchasing demands, various commodity elements are considered, the commodity information and the commodity element weights in the multi-platform fusion mall are combined, the demand matching coefficient between each commodity and the purchasing users is generated, and the commodity matching coefficients are arranged according to the demand matching coefficient so as to display commodities to the users, so that the situation that the users repeatedly view the plurality of commodity information is avoided, the operation steps and the operation flow of the users are reduced, in addition, the commodity display arrangement takes the demands of the users as the standard, the purchasing demands of the current purchasing users are more met, the commodity display arrangement has pertinence, convenience can be provided for the users, and the trading volume of the platform is further improved.

The embodiment of the specification also provides a commodity display apparatus based on a multi-platform fusion mall, as shown in fig. 2, wherein the apparatus comprises at least one processor, and a memory communicatively connected with the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to:

The method comprises the steps of obtaining appointed purchasing demands of a purchasing user, wherein the appointed purchasing demands comprise any one or more of purchasing price demands, purchasing after-sales demands and commodity matching degree demands, determining commodity element weights corresponding to the appointed purchasing demands based on the appointed purchasing demands of the purchasing user, wherein the commodity elements comprise price elements, logistics elements and feedback elements, obtaining commodity information to be displayed of a plurality of commodities to be displayed in a multi-platform fusion mall, wherein the commodity information to be displayed comprises commodity types, commodity prices, commodity logistics, commodity purchasing data and commodity attribution e-commerce platforms, determining demand matching coefficients between each commodity to be displayed and the purchasing user according to the commodity element weights corresponding to the appointed purchasing demands and the commodity information to be displayed, and displaying the commodities to be displayed in sequence according to the demand matching coefficients between each commodity to be displayed and the purchasing user.

The present specification embodiments also provide a non-volatile computer storage medium storing computer-executable instructions configured to:

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for apparatus, devices, non-volatile computer storage medium embodiments, the description is relatively simple, as it is substantially similar to method embodiments, with reference to the section of the method embodiments being relevant.

The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

The devices and media provided in the embodiments of the present disclosure are in one-to-one correspondence with the methods, so that the devices and media also have similar beneficial technical effects as the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media are not repeated here.

It will be appreciated by those skilled in the art that embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the present specification may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present description can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present description is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

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 storage media for a computer 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, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

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 one does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.

The foregoing is merely one or more embodiments of the present description and is not intended to limit the present description. Various modifications and alterations to one or more embodiments of this description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, or the like, which is within the spirit and principles of one or more embodiments of the present description, is intended to be included within the scope of the claims of the present description.

Claims

1. A method for displaying goods based on a multi-platform fusion mall, the method comprising:

acquiring a designated purchasing demand of a purchasing user, wherein the designated purchasing demand comprises any one or more of purchasing price demand, purchasing after-sales demand and commodity matching degree demand;

determining commodity element weights corresponding to the appointed purchasing demands based on the appointed purchasing demands of the purchasing users, wherein the commodity elements comprise price elements, logistics elements and feedback elements;

Acquiring information of commodities to be displayed of a plurality of commodities to be displayed in a multi-platform fusion mall, wherein the information of the commodities to be displayed comprises commodity categories, commodity prices, commodity logistics, commodity purchasing data and commodity attribution electronic commerce platforms;

determining a demand matching coefficient between each commodity to be displayed and the purchasing user according to the commodity element weight corresponding to the appointed purchasing demand and the commodity information to be displayed;

Sequentially displaying the plurality of commodities to be displayed according to the requirement matching coefficient between each commodity to be displayed and the purchasing user;

The method for acquiring the purchasing demand of the purchasing user specifically comprises the following steps:

Acquiring a plurality of historical purchase orders of the purchasing user and order information of each historical purchase order, wherein the order information comprises commodity class data, commodity feedback data and an order attribution platform;

Acquiring the current demand commodity class of the purchasing user based on a preset triggering mode;

determining a plurality of appointed historical purchase orders in the plurality of historical purchase orders according to the current demand commodity class and the commodity class in each historical purchase order, wherein the commodity class of the appointed historical purchase orders is the same as the current demand commodity class;

Classifying the appointed historical purchase orders according to commodity feedback data in the appointed historical purchase orders to obtain a first classification result, wherein the first classification result comprises a plurality of commodity feedback and the order number of the historical purchase orders corresponding to each commodity feedback;

Classifying the appointed historical purchase orders according to the order attribution platform in the appointed historical purchase orders to obtain a second classification result, wherein the second classification result comprises a plurality of electronic commerce platforms and the order quantity of the historical purchase orders corresponding to each electronic commerce platform;

and determining the purchasing requirements of the purchasing user on the commodity category with the current requirement according to the first classification result and the second classification result.

2. The multi-platform fusion mall-based commodity display method according to claim 1, wherein determining the purchasing requirement of the purchasing user for the commodity category of the current requirement according to the first classification result and the second classification result specifically comprises:

determining the designated commodity feedback order quantity of designated commodity feedback with the largest order quantity in the plurality of commodity feedback according to the order quantity of the historical purchase orders corresponding to each commodity feedback in the first classification result;

determining the order quantity of the appointed electronic commerce platform with the largest order quantity in the plurality of electronic commerce platforms according to the order quantity of the historical purchase orders corresponding to each electronic commerce platform in the second classification result;

Determining the appointed elements with the largest quantity according to the appointed commodity feedback order quantity and the appointed electronic commerce platform order quantity, wherein the appointed elements comprise any item in commodity feedback and electronic commerce platforms;

When the specified element is the commodity feedback, determining that the user requirement is a commodity matching degree requirement;

And when the specified element is the electric Shang Ping, acquiring platform attributes of a plurality of preset E-commerce platforms, and determining the purchasing demand of the purchasing user according to the platform attributes corresponding to the specified E-commerce platforms, wherein the platform attributes comprise low-price platform attributes and after-sale platform attributes.

3. The commodity display method based on the multi-platform fusion mall according to claim 1, wherein determining commodity element weights corresponding to the specified purchasing requirements based on the specified purchasing requirements of the purchasing user specifically comprises:

acquiring a preset purchasing demand and commodity element weight mapping table, wherein the purchasing demand and commodity element weight mapping table comprises a plurality of purchasing demands and commodity element weights corresponding to each purchasing demand;

Determining the appointed purchasing requirement of the purchasing user, and determining the commodity element weight corresponding to the appointed purchasing requirement in the purchasing requirement and commodity element weight mapping table.

4. The commodity display method based on the multi-platform fusion mall according to claim 1, wherein determining a requirement matching coefficient between each commodity to be displayed and the purchasing user according to the commodity element weight corresponding to the specified purchasing requirement and the commodity information to be displayed specifically comprises:

Determining price element weights, logistics element weights and feedback element weights corresponding to the appointed purchasing demands;

determining commodity price scores, commodity logistics scores and commodity feedback scores of all the commodities to be displayed according to commodity information to be displayed of all the commodities to be displayed;

generating a price factor of each commodity to be displayed based on the price element weight and the commodity price score;

generating a logistics factor of each commodity to be displayed based on the logistics element weight and the commodity logistics score;

generating a feedback factor of each commodity to be displayed based on the feedback element weight and the commodity feedback score;

And generating a demand matching coefficient between each commodity to be displayed and the purchasing user according to the price factor, the logistics factor and the feedback factor.

5. The commodity display method based on the multi-platform fusion mall according to claim 4, wherein determining the commodity price score, the commodity logistics score and the commodity feedback score of each commodity to be displayed according to the commodity information to be displayed of each commodity to be displayed specifically comprises:

Acquiring commodity information to be displayed of each commodity to be displayed;

determining a commodity price score of the commodity to be displayed based on the commodity class and the commodity price in the commodity information to be displayed;

Generating commodity circulation scores of the commodities to be displayed based on commodity circulation in the commodity information to be displayed and a plurality of historical commodity purchasing information of each commodity to be displayed, which is acquired in advance;

and generating commodity feedback scores of the commodities to be displayed according to commodity purchase data in the commodity information to be displayed and the uploaded commodity information uploaded by the commodity supplier, which is acquired in advance.

6. The commodity display method based on the multi-platform fusion mall according to claim 5, wherein the commodity price score of each commodity to be displayed is determined based on the commodity class and the commodity price in the commodity information to be displayed, specifically comprising:

acquiring commodity class and commodity price of each commodity to be displayed;

arranging a plurality of appointed commodities to be displayed belonging to the same commodity class according to the order of commodity prices from high to low to generate a plurality of commodity sequences of the appointed commodities to be displayed, wherein the commodity sequences comprise sequence numbers which are inversely related to the commodity prices;

generating a commodity price score of each appointed commodity to be displayed according to the serial numbers of the commodity sequences of the appointed commodities to be displayed, wherein the commodity price scores and the serial numbers are in positive correlation;

based on the commodity circulation in the commodity information to be displayed and a plurality of historical commodity purchasing information of each commodity to be displayed, the commodity circulation grading of each commodity to be displayed is generated, and the commodity circulation grading specifically comprises the following steps:

Acquiring commodity logistics of each commodity to be displayed and a plurality of historical commodity purchase information of each commodity to be displayed, wherein each historical commodity purchase information comprises historical shipping time and historical arrival time;

Determining an actual logistics interval according to the historical shipping time and the historical arrival time of each commodity to be displayed, so as to determine a historical logistics score of the commodity to be displayed based on the actual logistics interval;

determining a reference logistics score of each commodity to be displayed according to the commodity logistics of each commodity to be displayed and the preset standard logistics score corresponding to each commodity logistics;

correcting the reference logistics scores through the historical logistics scores to generate commodity logistics scores of the commodities to be displayed;

generating a commodity feedback score of each commodity to be displayed according to commodity purchase data in the commodity information to be displayed and the pre-acquired uploading commodity information uploaded by a commodity supplier, wherein the commodity feedback score specifically comprises the following steps:

Acquiring commodity purchase data of each commodity to be displayed and uploading commodity information uploaded by a commodity supplier, wherein the commodity purchase data comprises a purchased user feedback text and a purchased user feedback image, and the uploading commodity information comprises an uploading commodity text and an uploading commodity image;

performing text matching on the purchased user feedback text and the uploaded commodity text, and determining a text matching rate;

performing image matching on the purchased user feedback image and the uploaded commodity image, and determining an image matching rate;

and generating the commodity feedback score according to the text matching rate and the image matching rate.

7. The commodity display method based on the multi-platform fusion mall according to claim 1, wherein the plurality of commodities to be displayed are sequentially displayed according to a requirement matching coefficient between each commodity to be displayed and the purchasing user, and specifically comprises the following steps:

acquiring commodity categories and commodity attribution electronic commerce platforms in the commodity information to be displayed of each commodity to be displayed;

classifying a plurality of commodities to be displayed according to the commodity classes to obtain a plurality of commodity groups to be displayed, wherein the commodities to be displayed in each commodity group to be displayed belong to the same commodity class;

according to the demand matching coefficients between each commodity to be displayed and the purchasing user, calculating a first average matching coefficient of a commodity group to be displayed corresponding to each commodity class;

According to the first average matching coefficient, sorting the plurality of commodity groups to be displayed among groups to serve as a first sorting;

classifying commodities to be displayed in each commodity group to be displayed according to the commodity attribution platform to obtain a plurality of commodity subgroups to be displayed, wherein the commodities to be displayed in each commodity subgroup to be displayed belong to the same commodity attribution platform;

Calculating a second average matching coefficient of the commodity subgroup to be displayed corresponding to each commodity attribution platform according to the demand matching coefficient between each commodity to be displayed and the purchasing user;

According to the second average matching coefficient, sorting the plurality of commodity subgroups to be displayed among groups to serve as a second sorting;

According to the requirement matching coefficient between each commodity to be displayed in the commodity subgroup to be displayed and the purchasing user, carrying out intra-group sorting on the commodities to be displayed in the plurality of commodity subgroups to be displayed as a third sorting;

and displaying the plurality of commodities to be displayed in the multi-platform fusion mall in sequence based on the first ordering, the second ordering and the third ordering.

8. A multi-platform fusion mall-based merchandise display device, the device comprising:

at least one processor, and

A memory communicatively coupled to the at least one processor, wherein,

9. A non-transitory computer storage medium storing computer-executable instructions, the computer-executable instructions configured to: