CN117194764A - Goods display method, equipment and medium based on multi-platform fusion mall - Google Patents

Abstract

The embodiment of this specification discloses a product display method, equipment and medium based on a multi-platform integrated mall, which relates to the field of computer technology. The method includes: obtaining the purchasing needs of purchasing users, and the purchasing needs include purchasing price requirements, purchasing after-sales requirements and product matching. Any one or more of the requirements; based on the specified procurement requirements of the purchasing user, determine the weight of the commodity elements corresponding to the specified procurement requirements. The commodity elements include price elements, logistics elements and feedback elements; obtain multiple to-be-displayed commodities. Product information. The product information to be displayed includes product category, product price, product logistics, product purchase data, and the e-commerce platform to which the product belongs. According to the weight of product elements corresponding to the specified procurement requirements and the product information to be displayed, each product to be displayed and the purchase price are determined. The demand matching coefficient between users; according to the demand matching coefficient between each product to be displayed and the purchasing user, multiple products to be displayed are displayed in sequence.

Description

A product display method, equipment and media based on a multi-platform integrated mall

Technical field

This description relates to the field of computer technology, and in particular to a product display method, equipment and medium based on a multi-platform integrated mall.

Background technique

A multi-platform integrated mall refers to a comprehensive service mall that integrates multiple e-commerce platforms and sales platforms. For example, iGo Mall is a new model that integrates e-commerce and ground-level physical commerce. It is a full-industry and full-service mall. The new e-commerce network is committed to providing merchants with the development and application of effective third-party promotion platforms, providing consumers with a truly affordable consumption value-added model, and ultimately allowing merchants to increase turnover, increase profits, and lock in consumers for life. , allowing consumers to realize added value in consumption.

In a multi-platform integrated shopping mall, the same product has corresponding suppliers on different e-commerce platforms. The products supplied by different suppliers may have differences in logistics, price and product matching, and different users have different purchasing needs for the products. different. When users need to purchase products in a multi-platform integrated mall, they need to click on the product link in each e-commerce platform, view the product information, and then compare the product information to determine which product to choose. Therefore, the existing multi-platform integrated mall's way of displaying products cannot provide convenience to users and increases the user's operation process.

Contents of the invention

One or more embodiments of this specification provide a product display method, equipment and medium based on a multi-platform integrated mall, which is used to solve the following technical problem: the existing multi-platform integrated mall cannot provide users with a way to display products. Convenient, increasing the user's operation process.

One or more embodiments of this specification adopt the following technical solutions:

One or more embodiments of this specification provide a product display method based on a multi-platform integrated mall, which is characterized in that the method includes: obtaining the designated purchasing requirements of purchasing users, where the designated purchasing requirements include purchasing price requirements, Procurement of any one or more of after-sales requirements and product matching requirements; based on the specified procurement needs of the purchasing user, determine the weight of the commodity elements corresponding to the specified procurement requirements, where the commodity elements include price elements, logistics Elements and feedback elements: Obtain product information to be displayed for multiple products to be displayed in a multi-platform integrated mall, where the product information to be displayed includes product category, product price, product logistics, product purchase data, and the e-commerce platform to which the product belongs; Determine the demand matching coefficient between each of the commodities to be displayed and the purchasing user according to the commodity element weight corresponding to the specified procurement demand and the commodity information to be displayed; according to each commodity to be displayed and the commodity to be displayed Based on the demand matching coefficient between purchasing users, the multiple products to be displayed are displayed in sequence.

Further, obtaining the purchasing needs of the purchasing user specifically includes: obtaining multiple historical purchase orders of the purchasing user and order information of each historical purchase order, where the order information includes product category data, product feedback data and order information. Attribution platform; based on a preset triggering method, collects the current demand commodity categories of the purchasing user; determines among the multiple historical purchase orders based on the current demand commodity categories and the commodity categories in each of the historical purchase orders. Issue multiple designated historical purchase orders, wherein the product category of the designated historical purchase order is the same as the currently demanded product category; classify the designated historical purchase order based on the product feedback data in the designated historical purchase order , obtain the first classification result, wherein the first classification result includes multiple product feedback and the order quantity of the historical purchase order corresponding to each product feedback; according to the order attribution platform in the specified historical purchase order, the specified historical purchase order The purchase orders are classified to obtain a second classification result, wherein the second classification result includes multiple e-commerce platforms and the order quantity of historical purchase orders corresponding to each e-commerce platform; according to the first classification result and the The second classification result determines the purchasing demand of the purchasing user for the currently demanded commodity category.

Further, according to the first classification result and the second classification result, determining the purchasing user's purchasing demand for the currently demanded commodity category specifically includes: feedback corresponding to each commodity in the first classification result Based on the order quantity of historical purchase orders, determine the order quantity of the specified product feedback of the specified product with the largest number of orders among multiple product feedbacks; according to the order quantity of historical purchase orders corresponding to each e-commerce platform in the second classification result, Determine the number of designated e-commerce platform orders for the designated e-commerce platform with the largest number of orders among multiple e-commerce platforms; determine the designated element with the largest number based on the number of feedback orders for the designated product and the number of orders on the designated e-commerce platform, where , the specified element includes any one of product feedback and e-commerce platform; when the specified element is the product feedback, the user demand is determined to be the product matching requirement; when the specified element is the e-commerce platform When, obtain the platform attributes of multiple preset e-commerce platforms, and determine the purchasing needs of the purchasing user according to the platform attributes corresponding to the designated e-commerce platform, wherein the platform attributes include low-price platform attributes and after-sales platform Attributes.

Further, based on the specified purchasing demand of the purchasing user, determine the commodity element weight corresponding to the specified purchasing demand, specifically including: obtaining a preset purchasing demand and commodity element weight mapping table, wherein the purchasing demand and commodity element The weight mapping table includes multiple procurement requirements and the weight of commodity elements corresponding to each procurement requirement; determine the specified procurement requirements of the procurement user, and determine the corresponding procurement requirements in the mapping table of the procurement requirements and commodity element weights. Product factor weight.

Further, determining the demand matching coefficient between each of the commodities to be displayed and the purchasing user based on the commodity element weight corresponding to the specified procurement demand and the commodity information to be displayed, specifically includes: determining the specified procurement The price element weight, logistics element weight and feedback element weight corresponding to the demand; based on the to-be-displayed product information of each of the to-be-displayed products, determine the product price score, product logistics score and product feedback score of each of the to-be-displayed products; Generate a price factor for each of the commodities to be displayed based on the price factor weight and the commodity price score; generate a logistics factor for each of the commodities to be displayed based on the logistics factor weight and the commodity logistics score; Based on the feedback element weight and the product feedback score, a feedback factor for each of the products to be displayed is generated; based on the price factor, the logistics factor and the feedback factor, a sum of each product to be displayed is generated. The demand matching coefficient between the purchasing users.

Further, based on the product information to be displayed of each of the products to be displayed, determine the product price score, product logistics score and product feedback score of each of the products to be displayed, specifically including: obtaining the product information of each product to be displayed. Product information to be displayed; based on the product category and product price in the product information to be displayed, determine the product price score of each designated product to be displayed; based on the product logistics in the product information to be displayed and each pre-obtained Generate a product logistics score for each product to be displayed based on multiple historical product purchase information of the product to be displayed; based on the product purchase data in the product information to be displayed and the uploaded product uploaded by the product supplier obtained in advance information to generate product feedback scores for each product to be displayed.

Further, based on the product category and product price in the product information to be displayed, determining the product price score of each designated product to be displayed includes: obtaining the product category and product price of each of the products to be displayed; Multiple designated products to be displayed belonging to the same product category are arranged in order from high to low product prices to generate multiple product sequences of designated products to be displayed, where the product sequence includes a serial number, and the sequence The number is negatively correlated with the commodity price; according to the serial numbers of the commodity sequences of the multiple specified commodities to be displayed, a commodity price score of each specified commodity to be displayed is generated, wherein the commodity price score and the serial number is a positive correlation; based on the commodity logistics in the commodity information to be displayed and the multiple historical commodity procurement information of each commodity to be displayed obtained in advance, the commodity logistics score of each commodity to be displayed is generated, which specifically includes: Obtain the commodity logistics of each commodity to be displayed, and multiple historical commodity procurement information of each commodity to be displayed, wherein each of the historical commodity procurement information includes historical shipping time and historical arrival time; according to The historical shipping time and the historical arrival time of each commodity to be displayed are determined to determine the actual logistics interval, so as to determine the historical logistics score of the commodity to be displayed based on the actual logistics interval; Describe the commodity logistics of the commodity to be displayed and the preset standard logistics score corresponding to each commodity logistics, and determine the benchmark logistics score of each commodity to be displayed; correct the benchmark logistics score through the historical logistics score to generate each Product logistics scores for each of the products to be displayed; generate product feedback scores for each of the products to be displayed based on the product purchase data in the product information to be displayed and the uploaded product information uploaded by the product supplier obtained in advance, specifically It includes: obtaining the product purchase data of each product to be displayed and the uploaded product information uploaded by the product supplier, wherein the product purchase data includes purchased user feedback text and purchased user feedback image, and the uploaded product information includes Upload product text and upload product image; perform text matching between the purchased user feedback text and the uploaded product text to determine the text matching rate; perform image matching between the purchased user feedback image and the uploaded product image to determine Image matching rate; generate the product feedback score based on the text matching rate and the image matching rate.

Further, according to the demand matching coefficient between each of the commodities to be displayed and the purchasing user, the plurality of commodities to be displayed are displayed in sequence, which specifically includes: obtaining the commodities to be displayed for each of the commodities to be displayed. The product categories and products in the information belong to the e-commerce platform; according to the product categories, multiple products to be displayed are classified to obtain multiple product groups to be displayed, wherein the products to be displayed in each of the product groups to be displayed are Belonging to the same product category; according to the demand matching coefficient between each product to be displayed and the purchasing user, calculate the first average matching coefficient of the product group to be displayed corresponding to each product category; according to the first average The matching coefficient is used to sort the multiple commodity groups to be displayed between groups as the first sorting; the commodities to be displayed in each commodity group to be displayed are classified according to the platform to which the commodities belong, and multiple commodities to be displayed are obtained Subgroups, wherein the products to be displayed in each of the product to be displayed subgroups belong to the same product attribution platform; each product is calculated based on the demand matching coefficient between each of the products to be displayed and the purchasing user. The second average matching coefficient of the subgroup of goods to be displayed corresponding to the attribution platform; according to the second average matching coefficient, the plurality of subgroups of goods to be displayed are sorted between groups as the second sorting; according to the second average matching coefficient The demand matching coefficient between each of the commodities to be displayed in the commodity subgroup and the purchasing user is used to sort the commodities to be displayed in the plurality of commodity subgroups to be displayed as the third sorting ; Based on the first sorting, the second sorting and the third sorting, the plurality of commodities to be displayed are sequentially displayed in the multi-platform integrated mall.

One or more embodiments of this specification provide a product display device based on a multi-platform integrated mall, including:

at least one processor; and,

a memory communicatively connected to the at least one processor; wherein,

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

Obtain the designated purchasing requirements of the purchasing user, wherein the designated purchasing requirements include any one or more of purchasing price requirements, purchasing after-sales requirements and product matching requirements; based on the designated purchasing requirements of the purchasing user, determine the Specify the weight of product elements corresponding to the procurement demand, where the product elements include price elements, logistics elements and feedback elements; obtain the product information to be displayed for multiple products to be displayed in the multi-platform integrated mall, where the product information to be displayed Including product category, product price, product logistics, product purchase data, and the e-commerce platform to which the product belongs; based on the product element weight corresponding to the specified procurement demand and the product information to be displayed, determine each product to be displayed and the product to be displayed. The demand matching coefficient between purchasing users; according to the demand matching coefficient between each of the commodities to be displayed and the purchasing users, the multiple commodities to be displayed are displayed in sequence.

One or more embodiments of this specification provide a non-volatile computer storage medium that stores computer-executable instructions, and the computer-executable instructions are set to:

Obtain the designated purchasing requirements of the purchasing user, wherein the designated purchasing requirements include any one or more of purchasing price requirements, purchasing after-sales requirements and product matching requirements; based on the designated purchasing requirements of the purchasing user, determine the Specify the weight of product elements corresponding to the procurement demand, where the product elements include price elements, logistics elements and feedback elements; obtain the product information to be displayed for multiple products to be displayed in the multi-platform integrated mall, where the product information to be displayed Including product category, product price, product logistics, product purchase data, and the e-commerce platform to which the product belongs; based on the product element weight corresponding to the specified procurement demand and the product information to be displayed, determine each product to be displayed and the product to be displayed. The demand matching coefficient between purchasing users; according to the demand matching coefficient between each of the commodities to be displayed and the purchasing users, the multiple commodities to be displayed are displayed in sequence.

At least one of the above technical solutions adopted in the embodiments of this specification can achieve the following beneficial effects: through the above technical solution, the purchasing needs of purchasing users are taken as the entry point, the weight of commodity elements is determined according to the purchasing needs, multiple commodity elements are considered, and multiple platforms are combined Integrate product information and product element weights in the mall to generate demand matching coefficients between each product and purchasing users, and arrange them according to the demand matching coefficients to display products to users and avoid users repeatedly viewing multiple product information. situation, reducing the user's operating steps and processes; in addition, the product display arrangement is based on user needs, which is more in line with the current purchasing needs of purchasing users, is targeted, can provide convenience to users, and further increases the transaction volume of the platform.

Description of the drawings

In order to more clearly explain the embodiments of this specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only These are some of the embodiments recorded in this specification. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting any creative effort. In the attached picture:

Figure 1 is a schematic flow chart of a product display method based on a multi-platform integrated mall provided by an embodiment of this specification;

Figure 2 is a schematic structural diagram of a product display device based on a multi-platform integrated mall provided by an embodiment of this specification.

Detailed ways

In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described The embodiments are only some of the embodiments of this specification, but not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts should fall within the scope of protection of this specification.

A multi-platform integrated mall refers to a comprehensive service mall that integrates multiple e-commerce platforms and sales platforms. For example, iGo Mall is a new model that integrates e-commerce and ground-level physical commerce. It is a full-industry and full-service mall. The new e-commerce network is committed to providing merchants with the development and application of effective third-party promotion platforms, providing consumers with a truly affordable consumption value-added model, and ultimately allowing merchants to increase turnover, increase profits, and lock in consumers for life. , allowing consumers to realize added value in consumption.

In a multi-platform integrated shopping mall, the same product has corresponding suppliers on different e-commerce platforms. The products supplied by different suppliers may have differences in logistics, price and product matching, and different users have different purchasing needs for the products. different. When users need to purchase products in a multi-platform integrated mall, they need to click on the product link in each e-commerce platform, view the product information, and then compare the product information to determine which product to choose. Therefore, the existing multi-platform integrated mall's way of displaying products cannot provide convenience to users and increases the user's operation process.

The embodiments of this specification provide a product display method based on a multi-platform integrated mall. It should be noted that the execution subject in the embodiments of this specification can be a server or any device with data processing capabilities. Figure 1 is a schematic flow chart of a product display method based on a multi-platform integrated mall provided by an embodiment of this specification. As shown in Figure 1, it mainly includes the following steps:

Step S101: Obtain the designated purchasing requirements of the purchasing user.

In one embodiment of this specification, different users have different purchasing needs. The purchasing needs here include any one or more of purchasing price requirements, purchasing after-sales requirements, and product matching requirements. The purchase price demand here refers to the purchase user’s first choice of product price when purchasing goods; the purchase after-sales demand refers to the purchase user’s priority to select the after-sales service of the product as the selection factor when purchasing goods; The matching degree requirement refers to the degree of matching between the display information of the product and the actual information, for example, the matching degree between the buyer's show and the seller's show. When purchasing products, purchasing users will give priority to products with a higher degree of product matching.

Obtain the procurement needs of the purchasing user, specifically including: obtaining multiple historical purchase orders of the purchasing user and the order information of each historical purchase order, where the order information includes product category data, product feedback data and order attribution platform; based on prediction Set a trigger method to collect the current demand product category of the purchasing user; based on the current demand product category and the product category in each historical purchase order, determine multiple designated historical purchase orders among the multiple historical purchase orders, where , the product category of the designated historical purchase order is the same as the current demand product category; according to the product feedback data in the designated historical purchase order, the designated historical purchase order is classified, and the first classification result is obtained, where, the first classification The results include multiple product feedback and the order quantity of the historical purchase order corresponding to each product feedback; according to the order attribution platform in the specified historical purchase order, the specified historical purchase order is classified to obtain the second classification result, in which the first The second classification result includes multiple e-commerce platforms and the order quantity of historical purchase orders corresponding to each e-commerce platform; based on the first classification result and the second classification result, the purchasing demand of the purchasing user for the currently in demand commodity category is determined. .

In one embodiment of this specification, when obtaining the purchasing needs of the purchasing user, they can be obtained through the purchasing user's historical orders. Obtain multiple historical purchase orders of purchasing users. The order information of each historical purchase order includes product category data, such as the product category to which the purchased products in the order belong, and product feedback data. The product feedback data here can be purchased The user's user evaluation can also include the order attribution platform. The order attribution platform here can be multiple e-commerce platforms, such as JD.com, Meituan, etc. When the user needs to purchase goods in the multi-platform integrated mall, a pop-up dialog box can be used to collect the product categories to be purchased input by the user, that is, the current demand product categories, for example, daily necessities, fresh food, beauty Care and other product categories. According to the current demand product category required by the user, orders are filtered among multiple historical purchase orders to obtain multiple specified historical purchase orders that are the same as the current demand product category.

The multiple designated historical purchase orders obtained through screening are classified according to the product feedback data of each order to obtain the first classification result. The first classification result includes multiple product feedbacks and the historical purchase orders corresponding to each product feedback. quantity of order. For example, product feedback includes good reviews, neutral reviews, and negative reviews. In the first classification result, the products with positive reviews are divided into one category, the products with neutral reviews are divided into another category, and the products with negative reviews are divided into one category. Divide them into one category, and obtain the number of positive orders, the number of medium-rated orders, and the number of negative-rated orders for the highly rated products. It should be noted that the product feedback data for each order can be the largest amount of feedback information among all purchased user reviews of the product.

In addition, the multiple specified historical purchase orders obtained through screening are classified according to the order platform to which each order belongs, and a second classification result is obtained. The second classification result includes multiple e-commerce platforms and the corresponding platforms for each e-commerce platform. The order quantity of historical purchase orders. For example, among multiple specified historical purchase orders, the orders belonging to platform A are grouped into one category, and the order quantity is counted.

According to the first classification result and the second classification result, determining the purchasing demand of the purchasing user for the currently demanded commodity category specifically includes: based on the order quantity of the historical purchase order corresponding to each commodity feedback in the first classification result, Determine the order quantity of the specified product feedback for the specified product with the largest number of orders among multiple product feedbacks; determine the number of orders in multiple e-commerce platforms based on the order quantity of historical purchase orders corresponding to each e-commerce platform in the second classification result The largest number of designated e-commerce platform orders for the designated e-commerce platform; based on the number of feedback orders for the designated product and the number of orders for the designated e-commerce platform, determine the largest number of designated elements, where the designated elements include product feedback and e-commerce platform Any one of the above; when the specified element is the product feedback, determine the user demand as the product matching requirement; when the specified element is the e-commerce platform, obtain the platform attributes of multiple pre-set e-commerce platforms, according to The platform attributes corresponding to the designated e-commerce platform determine the purchasing needs of the purchasing user, where the platform attributes include low-price platform attributes and after-sales platform attributes.

In one embodiment of this specification, since the first classification result includes multiple product feedbacks and the order quantity corresponding to each product feedback, based on the order quantity of historical purchase orders corresponding to each product feedback in the first classification result, Determine the number of specified product feedback orders for the specified product feedback with the largest number of orders among multiple product feedbacks. That is to say, assuming that in the first classification result, the number of orders with positive feedback is 400, the number of orders with neutral feedback is 99, and the number of orders with negative feedback is 1, then the positive feedback with the largest number of orders will be determined The 400 pieces are used as the feedback order quantity for the specified product. Similarly, the second classification result includes multiple e-commerce platforms and the order quantity of historical purchase orders corresponding to each e-commerce platform. That is to say, assume that in the second classification result, the number of orders on the JD.com platform is 300, the number of orders on the Suning.com platform is 100, and the number of orders on the Meituan platform is 100. The order quantity of 300 on the Jingdong platform with the largest number of orders will be used as the order quantity of the designated e-commerce platform. Compare the number of feedback orders for the designated product with the number of orders on the designated e-commerce platform to determine the designated element with the largest number. For example, if the number of feedback orders for the designated product is 400 and the number of orders on the designated e-commerce platform is 300, then the product feedback is regarded as Specify elements.

When the specified element is product feedback, since the product feedback can reflect the evaluation of the actual product by the purchased user, the more positive product feedback in the user's historical orders, the higher the physical matching degree of the product. This user has high requirements for product matching. Therefore, the user needs are determined to be product matching requirements. When the specified element is the e-commerce platform, set platform attributes for multiple e-commerce platforms in advance. For example, if the platform attribute of the group buying platform is a low-price platform attribute, obtain the preset platform attributes of multiple e-commerce platforms. According to the specified e-commerce platform, The platform attributes corresponding to the business platform determine the purchasing needs of purchasing users. The platform attributes include low-price platform attributes and after-sales platform attributes. When the platform attribute corresponding to the specified e-commerce platform is the low-price platform attribute, the specified purchasing demand of the purchasing user is determined to be the purchasing price demand; when the platform attribute corresponding to the designated e-commerce platform is the after-sales platform attribute, the designated purchasing demand of the purchasing user is determined For purchasing after-sales needs.

Step S102: Based on the designated purchasing demand of the purchasing user, determine the weight of the commodity element corresponding to the designated purchasing demand.

Among them, the commodity elements include price elements, logistics elements and feedback elements.

Based on the specified procurement requirements of the procurement user, determine the commodity element weight corresponding to the specified procurement requirement, specifically including: obtaining a preset procurement requirement and commodity element weight mapping table, where the procurement requirement and commodity element weight mapping table includes multiple Procurement requirements and the weight of commodity elements corresponding to each procurement requirement; determine the specified procurement requirements of the procurement user, and determine the weight of commodity elements corresponding to the specified procurement requirements in the mapping table of the procurement requirements and commodity element weights.

In one embodiment of this specification, different procurement requirements correspond to different commodity element weights. The commodity element weights corresponding to the specified procurement requirements of the purchasing user can be determined by pre-setting a mapping table between procurement requirements and commodity element weights. For example, in the weight of commodity elements corresponding to the purchase price demand, the price element is greater than the logistics element, and the price element is greater than the feedback element; in the weight of the commodity elements corresponding to the purchase after-sales demand, the logistics element is greater than the price element, and the logistics element is greater than the feedback element; commodity matching Among the weights of commodity elements corresponding to high demand, the feedback element is greater than the logistics element, and the feedback element is greater than the price element. When allocating weights among price elements, logistics elements and feedback elements, they can be allocated in a 3:1:1 manner. For example, the element weight corresponding to the price element in the purchase price demand is set to 0.6, and the logistics elements and feedback The element weights corresponding to the elements are set to 0.2 respectively. The weights of the feedback elements in the product matching requirements are set to 0.6. The element weights corresponding to the logistics elements and price elements are set to 0.2 respectively. The element weights of the logistics elements in the procurement after-sales requirements are set to 0.6. Feedback The element weights of elements and price elements are respectively set to 0.2.

Step S103: Obtain product information to be displayed for multiple products to be displayed in the multi-platform integrated mall.

In one embodiment of this specification, product information to be displayed for multiple products to be displayed in a multi-platform integrated mall is obtained, where the product information to be displayed includes product category, product price, product logistics, product purchase data, and the e-commerce platform to which the product belongs. ;

Step S104: Determine the demand matching coefficient between each product to be displayed and the purchasing user based on the product element weight corresponding to the specified purchasing demand and the product information to be displayed.

Determine the demand matching coefficient between each commodity to be displayed and the purchasing user based on the weight of the commodity elements corresponding to the designated procurement demand and the information of the commodity to be displayed, including: determining the weight of the price element corresponding to the designated procurement demand, logistics Factor weight and feedback factor weight; based on the product information to be displayed for each product to be displayed, determine the product price score, product logistics score, and product feedback score for each product to be displayed; based on the price element weight and the product price score , generate a price factor for each commodity to be displayed; generate a logistics factor for each commodity to be displayed based on the weight of the logistics element and the logistics score of the commodity; generate a logistics factor for each commodity to be displayed based on the weight of the feedback element and the feedback score of the commodity The feedback factor of the displayed product; based on the price factor, the logistics factor and the feedback factor, a demand matching coefficient between each product to be displayed and the purchasing user is generated.

In one embodiment of this specification, the product price score, product logistics score, and product feedback score of each product to be displayed are determined based on the product information to be displayed of each product to be displayed. It should be noted that the product price score, product logistics score and product feedback score all belong to the same score range, for example, the score is between 0 and 10. The price factor of each product to be displayed is obtained by multiplying the price factor weight and the product price score. Based on the product of the logistics factor weight and the product logistics score, the logistics factor of each product to be displayed is obtained. Based on the product of the feedback element weight and the product feedback score, the feedback factor of each product to be displayed is generated. The sum of the price factor, logistics factor and feedback factor is used as the demand matching coefficient between each product to be displayed and the purchasing user. The larger the demand matching coefficient, it means that the products to be displayed approximately meet the purchasing needs of purchasing users.

Determine the product price score, product logistics score, and product feedback score of each product to be displayed based on the product information to be displayed, including: obtaining the product information to be displayed for each product to be displayed; based on The product category and product price in the product information to be displayed are determined to determine the product price score of each designated product to be displayed; based on the product logistics in the product information to be displayed and multiple histories of each product to be displayed that have been obtained in advance Product procurement information is used to generate product logistics scores for each product to be displayed; product feedback for each product to be displayed is generated based on the product purchase data in the product information to be displayed and the uploaded product information uploaded by the product supplier obtained in advance. score.

Based on the product category and product price in the product information to be displayed, determine the product price score of each designated product to be displayed, specifically including: obtaining the product category and product price of each product to be displayed; will belong to the same product category Multiple designated products to be displayed are arranged in order of product price from high to low, and a product sequence of multiple designated products to be displayed is generated, where the product sequence includes a serial number, and the sequence number is negatively correlated with the product price. ; Generate a product price score for each designated product to be displayed based on the serial numbers of the product sequences of the multiple designated products to be displayed, where the product price score and the sequence number are positively correlated.

In one embodiment of this specification, a product price score for each specified product to be displayed is generated based on the product category and product price in the product information to be displayed. First, arrange multiple designated products to be displayed belonging to the same product category in order of price from high to low, and set the serial number of each designated product to be displayed, for example, the serial numbers of 1, 2, and 3, where , the larger the serial number, the lower the price of the corresponding product. Generate a product price score based on the serial number of each product sequence specifying the product to be displayed. It should be noted that the product price score ranges from 0 to 10. The higher the price score, the larger the corresponding serial number and the lower the corresponding product price. When two items have the same price, you can set the same serial number. Assuming there are 10 products in total, sort them according to the product price to obtain the serial number of each product. At this time, since there are only 10 products, the serial number can be directly used as a price score. If there are more than 10 products, for example, there are 100 products, the obtained serial number is a positive integer number between 1-100. Divide the serial number by 10 and convert the serial number into a product between 0 and 10. Price Rating.

Generating a product logistics score for each product to be displayed based on the product logistics in the product information to be displayed and the multiple historical product procurement information of each product to be displayed in advance, specifically including: obtaining each product to be displayed commodity logistics, and multiple historical commodity procurement information for each commodity to be displayed, wherein each historical commodity procurement information includes historical shipping time and historical arrival time; according to the historical shipment time of each commodity to be displayed The actual logistics interval is determined based on the delivery time and the historical arrival time, so as to determine the historical logistics score of the commodity to be displayed based on the actual logistics interval; based on the commodity logistics of each commodity to be displayed and the preset logistics corresponding to each commodity The standard logistics score determines the benchmark logistics score for each product to be displayed; the benchmark logistics score is corrected using the historical logistics score to generate a product logistics score for each product to be displayed.

In one embodiment of this specification, the product logistics of each product to be displayed, as well as the historical shipping time and historical arrival time of each product to be displayed are obtained. Based on the difference between the historical shipping time and the historical arrival time of each product to be displayed, the actual logistics interval is determined, that is, the actual transportation time corresponding to the logistics in the purchased order of each product to be displayed. Determine the historical logistics score of the goods to be displayed through the actual logistics interval. The scoring method here can determine the historical logistics score of each product to be displayed based on the actual logistics interval sorting method. The smaller the actual logistics interval, the corresponding historical logistics score The higher. Based on the product logistics of each product to be displayed and the preset standard logistics score corresponding to each product logistics, the baseline logistics score of each product to be displayed is determined. It should be noted that different logistics have different standard logistics scores. The standard logistics score here can be the user score of each logistics obtained by the platform, which is used to represent the basic score of this logistics. The standard logistics score is converted so that the baseline logistics score can be corrected through historical logistics scores to generate a product logistics score for each product to be displayed. The obtained product logistics score can be a score between 0-10.

According to the product purchase data in the product information to be displayed and the uploaded product information uploaded by the product supplier obtained in advance, the product feedback score of each product to be displayed is generated, which specifically includes: obtaining the product purchase data of each product to be displayed. and uploaded product information uploaded by the product supplier, wherein the product purchase data includes purchased user feedback text and purchased user feedback image, and the uploaded product information includes uploaded product text and uploaded product image; the purchased user feedback text and Perform text matching on the uploaded product text to determine the text matching rate; perform image matching on the purchased user feedback image and the uploaded product image to determine the image matching rate; generate a product feedback score based on the text matching rate and the image matching rate .

In one embodiment of this specification, the product purchase data of each product to be displayed and the uploaded product information uploaded by the product supplier are obtained. The product purchase data includes purchased user feedback text and purchased user feedback image. The uploaded product information Including uploading product text and uploading product images. Match the text information between the purchased user feedback text and the uploaded product text to determine the text matching rate; image match the purchased user feedback image and the uploaded product image to determine the image matching rate; based on the sum of the text matching rate and the image matching rate, Generate product feedback ratings.

Step S105: Display multiple products to be displayed in sequence according to the demand matching coefficient between each product to be displayed and the purchasing user.

Display the multiple products to be displayed in sequence according to the demand matching coefficient between each product to be displayed and the purchasing user, which specifically includes: obtaining the product category and product in the product information to be displayed for each product to be displayed. Belong to the e-commerce platform; classify multiple products to be displayed according to the product category to obtain multiple product groups to be displayed, in which the products to be displayed in each product group to be displayed belong to the same product category; according to each product category Based on the demand matching coefficient between the product to be displayed and the purchasing user, the first average matching coefficient of the product group to be displayed corresponding to each product category is calculated; according to the first average matching coefficient, the multiple product groups to be displayed are calculated Sorting between groups, as the first sorting; the products to be displayed in each product group to be displayed are classified according to the platform to which the product belongs, and multiple subgroups of products to be displayed are obtained, in which the products in each product subgroup to be displayed are The products to be displayed belong to the same product belonging platform; according to the demand matching coefficient between each product to be displayed and the purchasing user, the second average matching coefficient of the subgroup of products to be displayed corresponding to each product belonging platform is calculated; according to The second average matching coefficient is used to sort the plurality of product subgroups to be displayed among groups as the second sorting; according to the demand matching between each product to be displayed in the product subgroup to be displayed and the purchasing user Coefficient, perform intra-group sorting on the multiple subgroups of products to be displayed as the third sorting; based on the first sorting, the second sorting and the third sorting, sort the multiple products to be displayed in the multi-platform integrated mall Shown in sequence.

In one embodiment of this specification, since the products to be displayed include multiple product categories, the product category and the e-commerce platform to which the product belongs in the product information to be displayed are obtained for each product to be displayed. According to the product category, multiple products to be displayed are classified, and the products to be displayed belonging to the same product category are grouped into one group to obtain multiple product groups to be displayed. In each product group to be displayed, based on the demand matching coefficient between each product to be displayed and the purchasing user, the average of the matching coefficients of the product group to be displayed corresponding to each product category is calculated to generate the first average matching coefficient. According to the first average matching coefficient, the plurality of product groups to be displayed are sorted between groups as the first sorting.

The products to be displayed in each product group to be displayed are classified according to the platform to which the products belong. Multiple products to be displayed belonging to the same product belonging platform are grouped into one group respectively, and multiple subgroups of products to be displayed are obtained. According to the demand matching coefficient between each product to be displayed and the purchasing user, the average matching coefficient of the subgroup of products to be displayed corresponding to the platform to which each product belongs is calculated to obtain the second average matching coefficient. According to the second average matching coefficient, multiple subgroups of products to be displayed are sorted between groups as the second sorting.

According to the demand matching coefficient between each product to be displayed in the product subgroup and the purchasing user, the products to be displayed in multiple product subgroups to be displayed are sorted within the group as a third sorting. According to the first sorting, the second sorting and the third sorting, multiple products to be displayed are displayed sequentially in the multi-platform integrated mall.

Through the above technical solution, the purchasing needs of purchasing users are used as the entry point, the weight of commodity elements is determined according to the purchasing needs, multiple commodity elements are considered, and the commodity information and commodity element weights in the multi-platform integrated mall are combined to generate each commodity and procurement The demand matching coefficient between users is arranged according to the demand matching coefficient to display products to users, which avoids users repeatedly viewing multiple product information and reduces the user's operating steps and processes; in addition, the product display arrangement is based on user It is based on demand and is more in line with the current purchasing needs of purchasing users. It is targeted and can provide convenience to users and further increase the transaction volume of the platform.

The embodiment of this specification also provides a product display device based on a multi-platform integrated mall. As shown in Figure 2, the device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores data that can be Instructions executed by at least one processor that enable at least one processor to:

Obtain the designated purchasing requirements of the purchasing user, where the designated purchasing requirements include any one or more of purchasing price requirements, purchasing after-sales requirements, and product matching requirements; determine the designated purchasing requirements based on the designated purchasing requirements of the purchasing user Corresponding product element weights, where the product elements include price elements, logistics elements and feedback elements; obtain product information to be displayed for multiple products to be displayed in the multi-platform integrated mall, where the product information to be displayed includes product categories, products Price, product logistics, product purchase data, and the e-commerce platform to which the product belongs; based on the weight of the product elements corresponding to the specified procurement demand and the information of the product to be displayed, determine the demand matching coefficient between each product to be displayed and the purchasing user; The multiple products to be displayed are displayed in sequence according to the demand matching coefficient between each product to be displayed and the purchasing user.

Embodiments of this specification also provide a non-volatile computer storage medium that stores computer-executable instructions, and the computer-executable instructions are set to:

Obtain the designated purchasing requirements of the purchasing user, where the designated purchasing requirements include any one or more of purchasing price requirements, purchasing after-sales requirements, and product matching requirements; determine the designated purchasing requirements based on the designated purchasing requirements of the purchasing user Corresponding product element weights, where the product elements include price elements, logistics elements and feedback elements; obtain product information to be displayed for multiple products to be displayed in the multi-platform integrated mall, where the product information to be displayed includes product categories, products Price, product logistics, product purchase data, and the e-commerce platform to which the product belongs; based on the weight of the product elements corresponding to the specified procurement demand and the information of the product to be displayed, determine the demand matching coefficient between each product to be displayed and the purchasing user; The multiple products to be displayed are displayed in sequence according to the demand matching coefficient between each product to be displayed and the purchasing user.

Each embodiment in this specification is described in a progressive manner. The same and similar parts between the various embodiments can be referred to each other. Each embodiment focuses on its differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the descriptions are relatively simple. For relevant details, please refer to the partial description of the method embodiments.

The foregoing describes specific embodiments of this specification. Other embodiments are within the scope of the appended 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 desired results. Additionally, the processes depicted in the figures do not necessarily require the specific order shown, or sequential order, to achieve desirable results. Multitasking and parallel processing are also possible or may be advantageous in certain implementations.

The equipment, media and methods provided by the embodiments of this specification are in one-to-one correspondence. Therefore, the equipment and media also have beneficial technical effects similar to their corresponding methods. Since the beneficial technical effects of the method have been described in detail above, therefore, The beneficial technical effects of the equipment and media will not be repeated here.

Those skilled in the art will understand that embodiments of the present specification may be provided as methods, systems, or computer program products. Thus, the present description may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment that combines software and hardware aspects. Furthermore, the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk memory, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The specification 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 process and/or block in the flowchart illustrations and/or block diagrams, and combinations of processes 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 device to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing device produce a use A device for realizing the functions specified in one process or multiple processes of the flowchart and/or one block or multiple blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory that causes a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction means, the instructions The device implements the functions specified in a process or processes of the flowchart and/or a block or blocks of the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device, causing a series of operating steps to be performed on the computer or other programmable device to produce computer-implemented processing, thereby executing on the computer or other programmable device. Instructions provide steps for implementing the functions specified in a process or processes of a flowchart diagram and/or a block or blocks of a block diagram.

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

Memory may include non-permanent storage in computer-readable media, random access memory (RAM), and/or non-volatile memory in the form of read-only memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

Computer-readable media includes both persistent and non-volatile, removable and non-removable media that can be implemented by any method or technology for storage of information. Information may be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), and 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 disc (DVD) or other optical storage, Magnetic tape cassettes, tape magnetic disk storage or other magnetic storage devices or any other non-transmission medium can be used to store information that can be accessed by a computing device. As defined in this article, computer-readable media does not include transitory media, such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprises," or any other variation thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements not only includes those elements, but also includes Other elements are not expressly listed or are inherent to the process, method, article or equipment. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article, or device that includes the stated element.

The above description is only one or more embodiments of this specification, and is not intended to limit this specification. Various modifications and variations may occur to one or more embodiments of this specification to those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims (10)

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;

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

2. The commodity display method based on the multi-platform fusion mall according to claim 1, wherein obtaining the purchasing requirements of the purchasing user specifically comprises:

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.

3. The multi-platform fusion mall-based commodity display method according to claim 2, 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 electricity Shang Ping platform, acquiring preset platform attributes of a plurality of 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.

4. 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.

5. 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.

6. The commodity display method based on the multi-platform fusion mall according to claim 5, 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 each appointed 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 the commodities to be displayed, which are 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 pre-acquired uploading commodity information uploaded by the commodity supplier.

7. The commodity display method according to claim 6, wherein the determining the commodity price score of each specified commodity to be displayed based on the commodity class and the commodity price in the commodity information to be displayed specifically comprises:

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.

8. 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.

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

at least one processor; the method comprises the steps of,

a memory communicatively coupled to the at least one processor; wherein,

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

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;

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

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

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;

a demand matching coefficient between each commodity to be displayed and the purchasing user;

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