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

Abstract

The embodiments of this specification disclose a product display method, device and medium based on a multi-platform integrated mall, which relate to the field of computer technology. The method includes: obtaining the purchasing needs of a purchasing user, the purchasing needs including any one or more of purchasing price needs, purchasing after-sales needs and product matching needs; determining the product element weights corresponding to the specified purchasing needs based on the purchasing user's specified purchasing needs, the product elements including price elements, logistics elements and feedback elements; obtaining product information to be displayed of multiple products to be displayed, the product information to be displayed including product category, product price, product logistics, product purchase data and the e-commerce platform to which the products belong; determining the demand matching coefficient between each product to be displayed and the purchasing user according to the product element weights corresponding to the specified purchasing needs and the product information to be displayed; and displaying the multiple products to be displayed in sequence according to the demand matching coefficient between each product to be displayed and the purchasing user.

Description

Technical Field

[0001] This specification relates to the field of computer technology, and in particular to a product display method, device, and medium based on a multi-platform integrated mall. Background Art

[0002] A multi-platform integrated mall refers to a comprehensive service mall that integrates multiple e-commerce platforms and sales platforms. For example, Aigou Mall is a new e-commerce network covering all industries and formats, presenting a new model that integrates e-commerce and ground-based physical commerce. It is committed to providing merchants with the development and application of effective third-party promotion platforms, and providing consumers with a truly affordable consumption value-added model, ultimately allowing merchants to increase sales, increase profits, lock in consumers for life, and enable consumers to realize consumption value-added.

[0003] In a multi-platform integrated mall, the same product has corresponding suppliers on different e-commerce platforms. Products supplied by different suppliers may have differences in logistics, pricing, and product matching, and different users have different purchasing needs. When users want to purchase products in a multi-platform integrated mall, they need to click on the product link on 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 product display method is not convenient for users and increases the user operation process. Summary of the Invention

[0004] One or more embodiments of this specification provide a product display method, device and medium based on a multi-platform integrated mall, which is used to solve the following technical problems: the existing multi-platform integrated mall's way of displaying products cannot provide convenience for users and increases the user's operation process.

[0005] One or more embodiments of this specification adopt the following technical solutions:

[0006] One or more embodiments of the present specification provide a product display method based on a multi-platform integrated mall, characterized in that the method includes: obtaining the specified purchasing requirements of a purchasing user, wherein the specified purchasing requirements include any one or more of purchasing price requirements, purchasing after-sales requirements and product matching requirements; based on the specified purchasing requirements of the purchasing user, determining the product element weights corresponding to the specified purchasing requirements, wherein the product elements include price elements, logistics elements and feedback elements; obtaining product information to be displayed of multiple products to be displayed in the multi-platform integrated mall, wherein the product information to be displayed includes product category, product price, product logistics, product purchase data and the e-commerce platform to which the products belong; determining the demand matching coefficient between each product to be displayed and the purchasing user based on the product element weights corresponding to the specified purchasing requirements and the product information to be displayed; and displaying the multiple products to be displayed in sequence according to the demand matching coefficient between each product to be displayed and the purchasing user.

[0007] Furthermore, obtaining the purchasing needs of a purchasing user specifically includes: obtaining multiple historical purchase orders of the purchasing user and order information of each historical purchase order, wherein the order information includes product category data, product feedback data, and the order attribution platform; collecting the current product category of the purchasing user based on a preset trigger method; determining multiple specified historical purchase orders from the multiple historical purchase orders based on the current product category and the product category in each of the historical purchase orders, wherein the product category of the specified historical purchase orders is the same as the current product category; classifying the specified historical purchase orders based on the product feedback data in the specified historical purchase orders to obtain a first classification result, wherein the first classification result includes multiple product feedbacks and the order quantity of the historical purchase orders corresponding to each product feedback; classifying the specified historical purchase orders based on the order attribution platform in the specified historical purchase orders to obtain a second classification result, wherein the second classification result includes multiple e-commerce platforms and the order quantity of the historical purchase orders corresponding to each e-commerce platform; and determining the purchasing user's purchasing needs for the currently required product category based on the first classification result and the second classification result.

[0008] Furthermore, based on the first classification result and the second classification result, the purchasing user's purchasing needs for the currently demanded commodity category are determined, specifically including: determining the designated commodity feedback order quantity of the designated commodity feedback with the largest order quantity among multiple commodity feedbacks based on the order quantity of historical purchase orders corresponding to each commodity feedback in the first classification result; determining the designated e-commerce platform order quantity of the designated e-commerce platform with the largest order quantity among multiple e-commerce platforms based on the order quantity of historical purchase orders corresponding to each e-commerce platform in the second classification result; determining the designated factor with the largest number based on the designated commodity feedback order quantity and the designated e-commerce platform order quantity, wherein the designated factor includes any one of commodity feedback and e-commerce platform; when the designated factor is the commodity feedback, determining the user demand as a commodity matching demand; when the designated factor is the e-commerce platform, obtaining the platform attributes of multiple pre-set e-commerce platforms, and determining the purchasing user's purchasing needs based on the platform attributes corresponding to the designated e-commerce platform, wherein the platform attributes include low-price platform attributes and after-sales platform attributes.

[0009] Furthermore, based on the designated purchasing requirements of the purchasing user, the commodity element weights corresponding to the designated purchasing requirements are determined, specifically including: obtaining a pre-set purchasing requirement and commodity element weight mapping table, wherein the purchasing requirement and commodity element weight mapping table includes multiple purchasing requirements and the commodity element weights corresponding to each purchasing requirement; determining the designated purchasing requirements of the purchasing user, and determining the commodity element weights corresponding to the designated purchasing requirements in the purchasing requirement and commodity element weight mapping table.

[0010] Furthermore, based on the commodity element weights corresponding to the specified procurement demand and the commodity information to be displayed, the demand matching coefficient between each of the commodities to be displayed and the purchasing user is determined, specifically including: determining the price element weights, logistics element weights and feedback element weights corresponding to the specified procurement demand; determining the commodity price score, commodity logistics score and commodity feedback score of each of the commodities to be displayed based on the commodity information to be displayed; generating a price factor for each of the commodities to be displayed based on the price element weights and the commodity price score; generating a logistics factor for each of the commodities to be displayed based on the logistics element weights and the commodity logistics score; generating a feedback factor for each of the commodities to be displayed based on the feedback element weights and the commodity feedback score; generating a demand matching coefficient between each of the commodities to be displayed and the purchasing user based on the price factor, the logistics factor and the feedback factor.

[0011] Furthermore, based on the product information to be displayed of each of the products to be displayed, the product price score, product logistics score and product feedback score of each of the products to be displayed are determined, specifically including: obtaining the product information to be displayed of each of the products to be displayed; determining the product price score of each designated product to be displayed based on the product category and product price in the product information to be displayed; generating the product logistics score of each product to be displayed based on the product logistics in the product information to be displayed and multiple historical product procurement information of each product to be displayed obtained in advance; generating the product feedback score of each product 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.

[0012] Furthermore, based on the commodity category and commodity price in the commodity information to be displayed, the commodity price score of each designated commodity to be displayed is determined, specifically including: obtaining the commodity category and commodity price of each commodity to be displayed; arranging multiple designated commodities to be displayed belonging to the same commodity category in order of commodity price from high to low, and generating multiple commodity sequences of designated commodities to be displayed, wherein the commodity sequence includes a serial number, and the serial number is negatively correlated with the commodity price; generating a commodity price score for each designated commodity to be displayed according to the serial number of the commodity sequence of the multiple designated commodities to be displayed, wherein the commodity price score and the serial number are positively correlated; 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 acquired in advance, generating a commodity logistics score for each commodity to be displayed, specifically including: obtaining the commodity logistics of each commodity to be displayed, and the multiple historical commodity procurement information of each commodity to be displayed, wherein each historical commodity procurement information includes a historical delivery time and a historical arrival time; The method comprises the following steps: determining a historical logistics score of the commodity to be displayed based on the historical arrival time, determining an actual logistics interval, and determining a historical logistics score of the commodity to be displayed based on the actual logistics interval; determining a baseline logistics score of each commodity to be displayed according to the commodity logistics of each commodity to be displayed and a preset standard logistics score corresponding to each commodity logistics; correcting the baseline logistics score by the historical logistics score to generate a commodity logistics score for each commodity to be displayed; generating a commodity feedback score for each commodity to be displayed according to the commodity purchase data in the commodity information to be displayed and the uploaded commodity information uploaded by the commodity supplier in advance, specifically comprising: obtaining the commodity purchase data of each commodity to be displayed and the uploaded commodity information uploaded by the commodity supplier, wherein the commodity purchase data includes purchased user feedback text and purchased user feedback image, and the uploaded commodity information includes uploaded commodity text and uploaded commodity image; performing text matching on the purchased user feedback text and the uploaded commodity text to determine a text matching rate; performing image matching on the purchased user feedback image and the uploaded commodity image to determine an image matching rate; and generating the commodity feedback score according to the text matching rate and the image matching rate.

[0013] Furthermore, according to the demand matching coefficient between each of the products to be displayed and the purchasing user, the multiple products to be displayed are displayed in sequence, specifically including: obtaining the product category and the e-commerce platform to which the product belongs in the product information to be displayed of each of the products to be displayed; classifying the multiple products to be displayed according to the product category to obtain multiple product groups to be displayed, wherein the products to be displayed in each product group to be displayed belong to the same product category; according to the demand matching coefficient between each of the products to be displayed and the purchasing user, calculating the first average matching coefficient of the product group to be displayed corresponding to each product category; according to the first average matching coefficient, sorting the multiple product groups to be displayed between groups as the first sorting; sorting the products to be displayed in each product group to be displayed according to the product belonging to The platform is classified to obtain multiple subgroups of goods to be displayed, wherein the goods to be displayed in each subgroup of goods to be displayed belong to the same goods-to-be-displayed platform; according to the demand matching coefficient between each of the goods to be displayed and the purchasing user, the second average matching coefficient of the subgroup of goods to be displayed corresponding to each goods-to-be-displayed platform is calculated; according to the second average matching coefficient, the multiple subgroups of goods to be displayed are sorted between groups as a second sorting; according to the demand matching coefficient between each of the goods to be displayed in the subgroup of goods to be displayed and the purchasing user, the multiple subgroups of goods to be displayed are sorted within groups as a third sorting; based on the first sorting, the second sorting and the third sorting, the multiple goods to be displayed are displayed in sequence in the multi-platform integrated mall.

[0014] One or more embodiments of this specification provide a product display device based on a multi-platform integrated mall, including:

[0015] at least one processor; and,

[0016] a memory communicatively connected to the at least one processor; wherein,

[0017] 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:

[0018] 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 product element weights corresponding to the designated purchasing requirements, wherein the product elements include price elements, logistics elements, and feedback elements; obtain the product information to be displayed of multiple products to be displayed in the multi-platform integrated mall, wherein the product information to be displayed includes product category, product price, product logistics, product purchase data, and the e-commerce platform to which the products belong; determine the demand matching coefficient between each of the products to be displayed and the purchasing user based on the product element weights corresponding to the designated purchasing requirements and the product information to be displayed; and display the multiple products to be displayed in sequence according to the demand matching coefficient between each of the products to be displayed and the purchasing user.

[0019] One or more embodiments of this specification provide a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to:

[0020] 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 product element weights corresponding to the designated purchasing requirements, wherein the product elements include price elements, logistics elements, and feedback elements; obtain the product information to be displayed of multiple products to be displayed in the multi-platform integrated mall, wherein the product information to be displayed includes product category, product price, product logistics, product purchase data, and the e-commerce platform to which the products belong; determine the demand matching coefficient between each of the products to be displayed and the purchasing user based on the product element weights corresponding to the designated purchasing requirements and the product information to be displayed; and display the multiple products to be displayed in sequence according to the demand matching coefficient between each of the products to be displayed and the purchasing user.

[0021] At least one of the above-mentioned technical solutions adopted in the embodiments of this specification can achieve the following beneficial effects: through the above-mentioned technical solution, taking the purchasing needs of purchasing users as the starting point, determining the weights of commodity elements according to the purchasing needs, taking into account a variety of commodity elements, and combining the commodity information and commodity element weights in the multi-platform integrated mall, a demand matching coefficient is generated between each commodity and the purchasing user, and the commodities are arranged according to the demand matching coefficient to display the commodities to the user, avoiding the situation where the user repeatedly views multiple commodity information, and reducing the user's operation steps and processes; in addition, the commodity display arrangement is based on user needs, which is more in line with the current purchasing user's purchasing needs, is targeted, can provide convenience for users, and further increases the transaction volume of the platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of this specification or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some of the embodiments described in this specification. For those skilled in the art, other drawings can be obtained based on these drawings without inventive work. In the drawings:

[0023] Figure 1 A flowchart of a method for displaying products on a multi-platform integrated mall provided in an embodiment of this specification;

[0024] Figure 2 This is a structural diagram of a product display device based on a multi-platform integrated mall provided in an embodiment of this specification. DETAILED DESCRIPTION

[0025] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0026] A multi-platform integrated mall refers to a comprehensive service mall that integrates multiple e-commerce platforms and sales platforms. For example, Aigou Mall is a new e-commerce network covering all industries and formats, presenting a new model that integrates e-commerce and ground-based physical commerce. It is committed to providing merchants with the development and application of effective third-party promotion platforms, and providing consumers with a truly affordable consumption value-added model, ultimately allowing merchants to increase sales, increase profits, lock in consumers for life, and enable consumers to realize consumption value-added.

[0027] In a multi-platform integrated mall, the same product has corresponding suppliers on different e-commerce platforms. Products supplied by different suppliers may have differences in logistics, pricing, and product matching, and different users have different purchasing needs. When users want to purchase products in a multi-platform integrated mall, they need to click on the product link on 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 product display method is not convenient for users and increases the user operation process.

[0028] The embodiments of this specification provide a product display method based on a multi-platform integrated mall. It should be noted that the execution entity in the embodiments of this specification can be a server or any device with data processing capabilities. Figure 1 A flowchart of a method for displaying products on a multi-platform integrated mall is provided in the embodiment of this specification. Figure 1 As shown, it mainly includes the following steps:

[0029] Step S101: obtaining the designated purchasing requirements of the purchasing user.

[0030] In one embodiment of this specification, different users have different purchasing requirements, which include any one or more of purchasing price requirements, purchasing after-sales service requirements, and product matching requirements. Purchasing price requirements refer to the purchasing user prioritizing product price as the primary factor in selecting a product. Purchasing after-sales service requirements refer to the purchasing user prioritizing after-sales service as a factor in selecting a product. Product matching requirements refer to the degree of match between the product's display information and the actual product information, such as the degree of match between the buyer's and seller's product images. Purchasing users prioritize products with a high degree of matching when purchasing products.

[0031] Obtaining the purchasing needs of a purchasing user specifically includes: obtaining multiple historical purchase orders of the purchasing user and order information of each historical purchase order, wherein the order information includes product category data, product feedback data, and the order attribution platform; collecting the current product category of the purchasing user based on a preset trigger method; determining multiple specified historical purchase orders from the multiple historical purchase orders based on the current product category and the product category in each of the historical purchase orders, wherein the product category of the specified historical purchase orders is the same as the current product category; classifying the specified historical purchase orders based on the product feedback data in the specified historical purchase orders to obtain a first classification result, wherein the first classification result includes multiple product feedbacks and the order quantity of the historical purchase orders corresponding to each product feedback; classifying the specified historical purchase orders based on the order attribution platform in the specified historical purchase orders to obtain a second classification result, wherein the second classification result includes multiple e-commerce platforms and the order quantity of the historical purchase orders corresponding to each e-commerce platform; and determining the purchasing user's purchasing needs for the current product category based on the first classification result and the second classification result.

[0032] In one embodiment of the present specification, when obtaining the purchasing needs of a purchasing user, it can be obtained through the purchasing user's historical orders. Multiple historical purchase orders of the purchasing user are obtained, and the order information of each historical purchase order includes commodity category data, such as the commodity category to which the purchased commodity in the order belongs, and also includes commodity feedback data. The commodity feedback data here can be user reviews of purchased users, and 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 a user needs to purchase goods in a multi-platform integrated mall, the commodity category to be purchased input by the user can be collected in the form of a pop-up dialog box, that is, the current demand commodity category, such as daily necessities, fresh food, beauty care and other commodity categories. According to the current demand commodity category of the user's needs, orders are screened in multiple historical purchase orders to obtain multiple specified historical purchase orders with the same commodity category as the current demand.

[0033] The multiple specified historical purchase orders obtained by screening are classified according to the product feedback data of each order to obtain a first classification result, which includes multiple product feedbacks and the order quantity of the historical purchase order corresponding to each product feedback. For example, product feedback includes positive reviews, neutral reviews, and negative reviews. In the first classification result, products with positive feedback are divided into one category, products with neutral feedback are divided into one category, and products with negative feedback are divided into one category, and the number of positive orders, neutral orders, and negative orders of the positive products are obtained respectively. It should be noted that the product feedback data of each order can be the feedback information with the largest number among all the user evaluations of the product that have been purchased.

[0034] Furthermore, the multiple specified historical purchase orders obtained by screening are classified according to the platform to which each order belongs, resulting in a second classification result. The second classification result includes multiple e-commerce platforms and the number of historical purchase orders corresponding to each e-commerce platform. For example, among the multiple specified historical purchase orders, orders belonging to platform A are classified into one category, and the order number is counted.

[0035] Based on the first classification result and the second classification result, the purchasing user's purchasing needs for the currently demanded commodity category are determined, specifically including: determining the specified commodity feedback order quantity of the specified commodity feedback with the largest order quantity among multiple commodity feedbacks according to the order quantity of the historical purchase orders corresponding to each commodity feedback in the first classification result; determining the specified e-commerce platform order quantity of the specified e-commerce platform with the largest order quantity among multiple e-commerce platforms according to the order quantity of the historical purchase orders corresponding to each e-commerce platform in the second classification result; determining the largest number of specified factors based on the specified commodity feedback order quantity and the specified e-commerce platform order quantity, wherein the specified factors include any one of commodity feedback and e-commerce platform; when the specified factor is the commodity feedback, determining the user demand as a commodity matching demand; when the specified factor is the e-commerce platform, obtaining the platform attributes of multiple pre-set e-commerce platforms, and determining the purchasing user's purchasing needs based on the platform attributes corresponding to the specified e-commerce platform, wherein the platform attributes include low-price platform attributes and after-sales platform attributes.

[0036] In one embodiment of the present specification, since the first classification result includes multiple product feedbacks and the number of orders corresponding to each product feedback, the number of designated product feedback orders for the designated product feedback with the largest number of orders among the multiple product feedbacks is determined based on the number of orders of the historical purchase orders corresponding to each product feedback in the first classification result. That is, assuming that in the first classification result, the number of orders for positive feedback is 400, the number of orders for neutral feedback is 99, and the number of orders for negative feedback is 1, then the 400 positive feedback orders with the largest number of orders are determined as the number of designated product feedback orders. Similarly, the second classification result includes multiple e-commerce platforms and the number of orders of the historical purchase orders corresponding to each e-commerce platform. That is, assuming 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 number of orders of 300 on the JD.com platform with the largest number of orders is used as the number of orders on the designated e-commerce platform. Compare the number of designated product feedback orders with the number of designated e-commerce platform orders to determine the designated factor with the largest number. For example, if the number of designated product feedback orders is 400 and the number of designated e-commerce platform orders is 300, then the product feedback will be used as the designated factor.

[0037] When the designated factor is product feedback, since product feedback can reflect the evaluation of the actual goods by the users who have purchased the goods, the more positive product feedback in the user's historical orders, the higher the physical matching degree of the product, and the higher the user's requirements for product matching. Therefore, the user demand is determined to be a product matching demand. When the designated factor is the e-commerce platform, the platform attributes are pre-set for multiple e-commerce platforms. For example, the platform attribute of the group buying platform is a low-price platform attribute. The platform attributes of the pre-set multiple e-commerce platforms are obtained, and the purchasing needs of the purchasing user are determined based on the platform attributes corresponding to the designated e-commerce platform. The platform attributes include low-price platform attributes and after-sales platform attributes. When the platform attribute corresponding to the designated e-commerce platform is a low-price platform attribute, the designated purchasing needs of the purchasing user are determined to be a purchasing price demand; when the platform attribute corresponding to the designated e-commerce platform is an after-sales platform attribute, the designated purchasing needs of the purchasing user are determined to be a purchasing after-sales demand.

[0038] Step S102: Based on the specified purchasing requirements of the purchasing user, determine the commodity factor weights corresponding to the specified purchasing requirements.

[0039] Among them, the commodity elements include price elements, logistics elements and feedback elements.

[0040] Based on the designated purchasing requirements of the purchasing user, determine the commodity element weight corresponding to the designated purchasing requirements, specifically including: obtaining a pre-set purchasing requirement and commodity element weight mapping table, wherein the purchasing requirement and commodity element weight mapping table includes multiple purchasing requirements and the commodity element weight corresponding to each purchasing requirement; determine the designated purchasing requirements of the purchasing user, and determine the commodity element weight corresponding to the designated purchasing requirement in the purchasing requirement and commodity element weight mapping table.

[0041] In one embodiment of the present specification, different purchasing requirements correspond to different commodity element weights. The commodity element weights corresponding to a specified purchasing requirement of a purchasing user can be determined by presetting a mapping table of purchasing requirements and commodity element weights. For example, in the commodity element weights corresponding to a purchasing price requirement, the price element is greater than the logistics element, and the price element is greater than the feedback element; in the commodity element weights corresponding to a purchasing after-sales service requirement, the logistics element is greater than the price element, and the logistics element is greater than the feedback element; in the commodity element weights corresponding to a commodity matching requirement, the feedback element is greater than the logistics element, and the feedback element is greater than the price element. When weighting the price, logistics, and feedback elements, the weights can be allocated in a 3:1:1 manner. For example, in a purchasing price requirement, the element weight corresponding to the price element is set to 0.6, and the element weights corresponding to the logistics element and the feedback element are each set to 0.2; in a commodity matching requirement, the feedback element weight is set to 0.6, and the element weights corresponding to the logistics element and the price element are each set to 0.2; in a purchasing after-sales service requirement, the element weight of the logistics element is set to 0.6, and the element weights of the feedback element and the price element are each set to 0.2.

[0042] Step S103: obtaining information of multiple products to be displayed in the multi-platform integrated mall.

[0043] In one embodiment of the present specification, information of products to be displayed of a plurality of products to be displayed in a multi-platform integrated mall is obtained, wherein the information of the products to be displayed includes product category, product price, product logistics, product purchase data, and the e-commerce platform to which the products belong;

[0044] Step S104 : determining a demand matching coefficient between each product to be displayed and the purchasing user according to the product element weight corresponding to the specified purchasing demand and the information of the product to be displayed.

[0045] According to the commodity element weight corresponding to the specified procurement demand and the commodity information to be displayed, the demand matching coefficient between each commodity to be displayed and the purchasing user is determined, specifically including: determining the price element weight, logistics element weight and feedback element weight corresponding to the specified procurement demand; determining the commodity price score, commodity logistics score and commodity feedback score of each commodity to be displayed according to the commodity information to be displayed of each commodity to be displayed; generating the price factor of each commodity to be displayed based on the price element weight and the commodity price score; generating the logistics factor of each commodity to be displayed based on the logistics element weight and the commodity logistics score; generating the feedback factor of each commodity to be displayed based on the feedback element weight and the commodity feedback score; generating the demand matching coefficient between each commodity to be displayed and the purchasing user based on the price factor, the logistics factor and the feedback factor.

[0046] In one embodiment of the present 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. The logistics factor of each product to be displayed is obtained based on the product of the logistics factor weight and the product logistics score. The feedback factor of each product to be displayed is generated based on the product of the feedback factor weight and the product feedback score. 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, the more likely the product to be displayed meets the purchasing needs of the purchasing user.

[0047] Based on the product information to be displayed of each product to be displayed, the product price score, product logistics score and product feedback score of each product to be displayed are determined, specifically including: obtaining the product information to be displayed of each product to be displayed; determining the product price score of each designated product to be displayed based on the product category and product price in the product information to be displayed; generating the product logistics score of each product to be displayed based on the product logistics in the product information to be displayed and multiple historical product procurement information of each product to be displayed obtained in advance; generating the product feedback score of each product 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.

[0048] Based on the product category and product price in the information of the products to be displayed, determining the product price score of each designated product to be displayed specifically includes: obtaining the product category and product price of each product to be displayed; arranging multiple designated products to be displayed belonging to the same product category in order of product price from high to low, and generating multiple product sequences of the designated products to be displayed, wherein the product sequence includes a serial number, and the serial number is negatively correlated with the product price; generating a product price score for each designated product to be displayed according to the serial number of the product sequence of the multiple designated products to be displayed, wherein the product price score and the serial number are positively correlated.

[0049] In one embodiment of the present specification, a price score is generated for each designated item to be displayed based on the item category and price in the item information to be displayed. First, multiple designated items to be displayed belonging to the same item category are sorted in descending order of price, and each designated item to be displayed is assigned a sequence number, for example, 1, 2, or 3, where a larger sequence number corresponds to a lower price. A price score is generated based on the sequence number of each designated item to be displayed. It should be noted that the price score ranges from 0 to 10, with a higher price score corresponding to a larger sequence number and a lower price. If two items have the same price, they can be assigned the same sequence number. For example, if there are 10 items in total, they are sorted by price to obtain a sequence number for each item. In this case, since there are only 10 items, the sequence number can be used directly as the price score. If there are more than 10 items, for example, 100 items, the resulting sequence number is a positive integer between 1 and 100. The sequence number is divided by 10 to convert the sequence number into a price score between 0 and 10.

[0050] Based on the commodity logistics in the commodity information to be displayed and multiple historical commodity procurement information of each commodity to be displayed obtained in advance, a commodity logistics score for each commodity to be displayed is generated, specifically including: obtaining the commodity logistics of each commodity to be displayed and multiple historical commodity procurement information of each commodity to be displayed, wherein each historical commodity procurement information includes a historical shipping time and a 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 the historical logistics score of the commodity to be displayed based on the actual logistics interval; determining a baseline logistics score for each commodity to be displayed according to the commodity logistics of each commodity to be displayed and a pre-set standard logistics score corresponding to each commodity logistics; and correcting the baseline logistics score by the historical logistics score to generate a commodity logistics score for each commodity to be displayed.

[0051] In one embodiment of the present 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 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. The historical logistics score of the product to be displayed is determined based on the actual logistics interval. The scoring method here can be based on the order of the actual logistics interval to determine the historical logistics score of each product to be displayed. The smaller the actual logistics interval, the higher the corresponding historical logistics score. Based on the product logistics of each product to be displayed and the pre-set standard logistics score corresponding to each product logistics, a baseline logistics score for each product to be displayed is determined. It should be noted that different logistics have different corresponding standard logistics scores. The standard logistics score here can be the user rating 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 by the historical logistics score to generate a product logistics score for each product to be displayed. The obtained product logistics score can be a score between 0 and 10.

[0052] Generating a product feedback score for each product 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 in advance, specifically comprising: 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 uploaded product text and uploaded product image; performing text matching on the purchased user feedback text and the uploaded product text to determine a text matching rate; performing image matching on the purchased user feedback image and the uploaded product image to determine an image matching rate; and generating the product feedback score based on the text matching rate and the image matching rate.

[0053] In one embodiment of the present disclosure, product purchase data and uploaded product information uploaded by the product supplier are obtained for each product to be displayed. The product purchase data includes purchased user feedback text and purchased user feedback images, and the uploaded product information includes uploaded product text and uploaded product images. The purchased user feedback text and uploaded product text are matched to determine a text matching rate; the purchased user feedback images and uploaded product images are matched to determine an image matching rate; and a product feedback score is generated based on the sum of the text matching rate and the image matching rate.

[0054] Step S105 : displaying multiple products to be displayed in sequence according to the demand matching coefficient between each product to be displayed and the purchasing user.

[0055] According to the demand matching coefficient between each of the products to be displayed and the purchasing user, the multiple products to be displayed are displayed in sequence, specifically including: obtaining the product category and the e-commerce platform to which the product belongs in the product information to be displayed of each of the products to be displayed; classifying the multiple products to be displayed according to the product category to obtain multiple product groups to be displayed, wherein the products to be displayed in each product group to be displayed belong to the same product category; according to the demand matching coefficient between each of the products to be displayed and the purchasing user, calculating the first average matching coefficient of the product group to be displayed corresponding to each product category; according to the first average matching coefficient, sorting the multiple product groups to be displayed between groups as the first sorting; sorting the products to be displayed in each product group to be displayed according to the business The products to be displayed are classified according to the product belonging platform to obtain multiple subgroups of products to be displayed, wherein the products to be displayed in each subgroup of 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, a 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, the multiple subgroups of products to be displayed are sorted between groups as a second sorting; according to the demand matching coefficient between each product to be displayed in the subgroup of products to be displayed and the purchasing user, the multiple subgroups of products to be displayed are sorted within the group as a third sorting; based on the first sorting, the second sorting and the third sorting, the multiple products to be displayed are displayed in sequence in the multi-platform integrated mall.

[0056] In one embodiment of the present specification, since the goods to be displayed include multiple categories of goods, the product category and the e-commerce platform to which the goods belong in the information of the goods to be displayed of each product to be displayed are obtained. According to the product category, multiple goods to be displayed are classified, and the goods to be displayed belonging to the same product category are grouped together to obtain multiple groups of goods to be displayed. In each group of goods to be displayed, based on the demand matching coefficient between each product to be displayed and the purchasing user, the average matching coefficient of the group of goods to be displayed corresponding to each product category is calculated to generate a first average matching coefficient. According to the first average matching coefficient, the multiple groups of goods to be displayed are sorted among the groups as a first sorting.

[0057] The products to be displayed in each product group to be displayed are classified according to the product's platform. Multiple products to be displayed belonging to the same product platform are grouped together to obtain multiple subgroups of products to be displayed. Based on the demand matching coefficient between each product to be displayed and the purchasing user, the average matching coefficient of the subgroups of products to be displayed corresponding to each product's platform is calculated to obtain a second average matching coefficient. The multiple subgroups of products to be displayed are sorted according to the second average matching coefficient as a second sorting.

[0058] The products in the plurality of product subgroups to be displayed are sorted within the group based on the demand matching coefficient between each product in the product subgroup to be displayed and the purchasing user, as a third sorting. The plurality of products to be displayed are sequentially displayed in the multi-platform integrated mall according to the first sorting, the second sorting, and the third sorting.

[0059] Through the above technical solution, taking the purchasing needs of purchasing users as the starting point, the weights of commodity elements are determined according to the purchasing needs, taking into account a variety of commodity elements, and combining the commodity information and commodity element weights in the multi-platform integrated mall, a demand matching coefficient is generated between each commodity and the purchasing user, and the commodities are arranged according to the demand matching coefficient to display the commodities to the user, avoiding the situation where the user repeatedly views multiple commodity information and reducing the user's operation steps and processes; in addition, the commodity display arrangement is based on user needs, which is more in line with the current purchasing users' purchasing needs, is targeted, can provide convenience for users, and further increases the transaction volume of the platform.

[0060] The embodiment of this specification also provides a product display device based on a multi-platform integrated mall, such as Figure 2 As shown, the device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed 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:

[0061] 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 product element weights corresponding to the designated purchasing requirements, wherein the product elements include price elements, logistics elements, and feedback elements; obtain the product information to be displayed of multiple products to be displayed in the multi-platform integrated mall, wherein the product information to be displayed includes product category, product price, product logistics, product purchase data, and the e-commerce platform to which the products belong; determine the demand matching coefficient between each product to be displayed and the purchasing user based on the product element weights corresponding to the designated purchasing requirements and the product information to be displayed; and 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.

[0062] The embodiments of this specification also provide a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured as follows:

[0063] 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 product element weights corresponding to the designated purchasing requirements, wherein the product elements include price elements, logistics elements, and feedback elements; obtain the product information to be displayed of multiple products to be displayed in the multi-platform integrated mall, wherein the product information to be displayed includes product category, product price, product logistics, product purchase data, and the e-commerce platform to which the products belong; determine the demand matching coefficient between each product to be displayed and the purchasing user based on the product element weights corresponding to the designated purchasing requirements and the product information to be displayed; and 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.

[0064] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0065] The foregoing description of this specification describes specific embodiments. 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 an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0066] The devices and media provided in the embodiments of this specification correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects to their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0067] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems, or computer program products. Therefore, this specification may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, this specification may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0068] This specification is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of this specification. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0069] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0070] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0071] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0072] Memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0073] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0074] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0075] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A product display method based on a multi-platform integrated mall, characterized in that: The method comprises: Obtaining a specified purchasing requirement of a purchasing user, wherein the specified purchasing requirement includes any one or more of a purchasing price requirement, a purchasing after-sales requirement, and a product matching requirement; Based on the specified purchasing requirements of the purchasing user, determining the commodity factor weights corresponding to the specified purchasing requirements, wherein the commodity factors include price factors, logistics factors, and feedback factors; Obtaining information about multiple products to be displayed in a multi-platform integrated mall, wherein the information includes product category, product price, product logistics, product purchase data, and the e-commerce platform to which the products belong; Determining a demand matching coefficient between each of the to-be-displayed products and the purchasing user based on the product element weights corresponding to the specified purchasing demand and the to-be-displayed product information; Displaying the plurality of products to be displayed in sequence according to a demand matching coefficient between each product to be displayed and the purchasing user; Obtain the purchasing needs of purchasing users, including: Acquire multiple historical purchase orders of the purchasing user and order information of each historical purchase order, wherein the order information includes product category data, product feedback data, and the order attribution platform; Based on a preset trigger method, collect the current product categories required by the purchasing user; Determining a plurality of designated historical purchase orders from the plurality of historical purchase orders based on the currently demanded commodity category and the commodity category in each of the historical purchase orders, wherein the commodity category of the designated historical purchase orders is the same as the currently demanded commodity category; Classifying the specified historical purchase order according to the product feedback data in the specified historical purchase order to obtain a first classification result, wherein the first classification result includes multiple product feedbacks and the order quantity of the historical purchase order corresponding to each product feedback; Classifying the specified historical purchase orders according to the order-attribution platforms in the specified historical purchase orders to obtain a second classification result, wherein the second classification result includes multiple e-commerce platforms and the order quantity of the historical purchase orders corresponding to each e-commerce platform; The purchasing demand of the purchasing user for the currently demanded commodity category is determined based on the first classification result and the second classification result.

2. A method for displaying goods based on a multi-platform integrated mall according to claim 1, characterized in that: Determining the purchasing user's purchasing demand for the currently-demanded commodity category based on the first classification result and the second classification result specifically includes: Determining the order quantity of the designated product feedback of the designated product feedback with the largest order quantity among the multiple product feedbacks based on the order quantity of the historical purchase orders corresponding to each product feedback in the first classification result; Determining the number of orders on a designated e-commerce platform for the designated e-commerce platform with the largest number of orders among the multiple e-commerce platforms based on the number of historical purchase orders corresponding to each e-commerce platform in the second classification result; Determine the designated factor with the largest number based on the number of designated product feedback orders and the number of designated e-commerce platform orders, wherein the designated factor includes any one of product feedback and e-commerce platform; When the designated factor is the product feedback, determining that the user demand is a product matching demand; When the designated element is the e-commerce platform, the platform attributes of multiple pre-set e-commerce platforms are obtained, and the purchasing needs of the purchasing user are determined 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.

3. A commodity display method based on a multi-platform integrated mall according to claim 1, characterized in that: Determining the commodity factor weights corresponding to the specified purchasing requirements based on the purchasing user's specified purchasing requirements specifically includes: Obtaining a preset mapping table of purchase requirements and commodity element weights, wherein the mapping table of purchase requirements and commodity element weights includes multiple purchase requirements and commodity element weights corresponding to each purchase requirement; Determine the designated purchasing requirements of the purchasing user, and determine the commodity element weights corresponding to the designated purchasing requirements in the purchasing requirements and commodity element weight mapping table.

4. A method for displaying goods based on a multi-platform integrated mall according to claim 1, characterized in that: Determining a demand matching coefficient between each of the to-be-displayed products and the purchasing user based on the product element weights corresponding to the specified purchasing demand and the to-be-displayed product information specifically includes: Determine the price factor weight, logistics factor weight, and feedback factor weight corresponding to the specified procurement demand; Determining a product price score, a product logistics score, and a product feedback score for each of the products to be displayed based on the product information of each of the products to be displayed; generating a price factor for each of the commodities to be displayed based on the price factor weights and the commodity price scores; Generating a logistics factor for each of the products to be displayed based on the logistics factor weights and the product logistics scores; generating a feedback factor for each of the products to be displayed based on the feedback factor weights and the product feedback scores; A demand matching coefficient between each of the to-be-displayed commodities and the purchasing user is generated according to the price factor, the logistics factor, and the feedback factor.

5. A method for displaying goods based on a multi-platform integrated mall according to claim 4, characterized in that: 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, specifically including: Obtaining the product information to be displayed for each of the products to be displayed; Determining a price score of the product to be displayed based on the product category and product price in the product information to be displayed; Generating a product logistics score for each product to be displayed based on the product logistics in the product information to be displayed and a plurality of previously acquired historical product procurement information of each product to be displayed; A product feedback score for each of the products to be displayed is generated based on the product purchase data in the product information to be displayed and the pre-acquired uploaded product information uploaded by the product supplier.

6. A method for displaying goods based on a multi-platform integrated mall according to claim 5, characterized in that: Determining a product price score for each product to be displayed based on the product category and product price in the product information to be displayed, specifically including: Obtain the product category and product price of each product to be displayed; Arrange multiple designated products to be displayed belonging to the same product category in descending order of product price to generate multiple product sequences of the designated products to be displayed, wherein the product sequences include sequence numbers, and the sequence numbers are negatively correlated with the product prices; Generating a product price score for each designated product to be displayed according to the serial numbers of the product sequences of the plurality of designated products to be displayed, wherein the product price score and the serial number are positively correlated; Generating a product logistics score for each product to be displayed based on the product logistics in the product information to be displayed and a plurality of previously acquired historical product purchasing information of each product to be displayed, specifically comprising: Obtaining the commodity logistics of each of the commodities to be displayed, and a plurality of historical commodity purchasing information of each of the commodities to be displayed, wherein each of the historical commodity purchasing information includes a historical delivery time and a historical arrival time; Determining an actual logistics interval according to the historical shipping time and the historical arrival time of each of the products to be displayed, and determining a historical logistics score of the products to be displayed based on the actual logistics interval; Determining a baseline logistics score for each of the products to be displayed based on the product logistics of each of the products to be displayed and a preset standard logistics score corresponding to each product logistics; Correcting the benchmark logistics score by using the historical logistics score to generate a product logistics score for each of the products to be displayed; Generate a product feedback score for each product to be displayed based on the product purchase data in the product information to be displayed and the pre-acquired product information uploaded by the product supplier, specifically including: Acquire product purchase data of each of the products 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; Performing text matching on the purchased user feedback text and the uploaded product text to determine a text matching rate; Performing image matching between the purchased user feedback image and the uploaded product image to determine an image matching rate; The product feedback score is generated according to the text matching rate and the image matching rate.

7. A method for displaying goods based on a multi-platform integrated mall according to claim 1, characterized in that: Displaying the plurality of products to be displayed in sequence according to the demand matching coefficient between each product to be displayed and the purchasing user, specifically includes: Obtaining the product category and the e-commerce platform to which the product belongs from the product information to be displayed of each of the products to be displayed; Classifying the plurality of commodities to be displayed according to the commodity categories to obtain a plurality of commodity groups to be displayed, wherein the commodities to be displayed in each of the commodity groups to be displayed belong to the same commodity category; Calculating a first average matching coefficient of the group of products to be displayed corresponding to each product category according to the demand matching coefficient between each product to be displayed and the purchasing user; Sorting the plurality of groups of products to be displayed among each other according to the first average matching coefficient as a first sorting; Classifying the products to be displayed in each product group to be displayed according to the product-attribution platform to obtain a plurality of product subgroups to be displayed, wherein the products to be displayed in each product subgroup to be displayed belong to the same product-attribution platform; Calculating a second average matching coefficient of the subgroup of products to be displayed corresponding to each product's platform according to the demand matching coefficient between each product to be displayed and the purchasing user; sorting the plurality of to-be-displayed product subgroups among themselves according to the second average matching coefficient as a second sorting; sorting the products to be displayed in the plurality of product subgroups within the group according to a demand matching coefficient between each product to be displayed in the product subgroup and the purchasing user, as a third sorting; Based on the first sorting, the second sorting, and the third sorting, the plurality of commodities to be displayed are displayed in sequence in the multi-platform integrated mall.

8. A commodity display device based on a multi-platform integrated mall, characterized in that: The device comprises: 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: Obtaining a specified purchasing requirement of a purchasing user, wherein the specified purchasing requirement includes any one or more of a purchasing price requirement, a purchasing after-sales requirement, and a product matching requirement; Based on the specified purchasing requirements of the purchasing user, determining the commodity factor weights corresponding to the specified purchasing requirements, wherein the commodity factors include price factors, logistics factors, and feedback factors; Obtaining information about multiple products to be displayed in a multi-platform integrated mall, wherein the information includes product category, product price, product logistics, product purchase data, and the e-commerce platform to which the products belong; Determining a demand matching coefficient between each of the to-be-displayed products and the purchasing user based on the product element weights corresponding to the specified purchasing demand and the to-be-displayed product information; Displaying the plurality of products to be displayed in sequence according to a demand matching coefficient between each product to be displayed and the purchasing user; Obtain the purchasing needs of purchasing users, including: Acquire multiple historical purchase orders of the purchasing user and order information of each historical purchase order, wherein the order information includes product category data, product feedback data, and the order attribution platform; Based on a preset trigger method, collect the current product categories required by the purchasing user; Determining a plurality of designated historical purchase orders from the plurality of historical purchase orders based on the currently demanded commodity category and the commodity category in each of the historical purchase orders, wherein the commodity category of the designated historical purchase orders is the same as the currently demanded commodity category; Classifying the specified historical purchase order according to the product feedback data in the specified historical purchase order to obtain a first classification result, wherein the first classification result includes multiple product feedbacks and the order quantity of the historical purchase order corresponding to each product feedback; Classifying the specified historical purchase orders according to the order-attribution platforms in the specified historical purchase orders to obtain a second classification result, wherein the second classification result includes multiple e-commerce platforms and the order quantity of the historical purchase orders corresponding to each e-commerce platform; The purchasing demand of the purchasing user for the currently demanded commodity category is determined based on the first classification result and the second classification result.

9. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are configured to: Obtaining a specified purchasing requirement of a purchasing user, wherein the specified purchasing requirement includes any one or more of a purchasing price requirement, a purchasing after-sales requirement, and a product matching requirement; Based on the specified purchasing requirements of the purchasing user, determining the commodity factor weights corresponding to the specified purchasing requirements, wherein the commodity factors include price factors, logistics factors, and feedback factors; Obtaining information about multiple products to be displayed in a multi-platform integrated mall, wherein the information includes product category, product price, product logistics, product purchase data, and the e-commerce platform to which the products belong; Determining a demand matching coefficient between each of the to-be-displayed products and the purchasing user based on the product element weights corresponding to the specified purchasing demand and the to-be-displayed product information; Displaying the plurality of products to be displayed in sequence according to a demand matching coefficient between each product to be displayed and the purchasing user; Obtain the purchasing needs of purchasing users, including: Acquire multiple historical purchase orders of the purchasing user and order information of each historical purchase order, wherein the order information includes product category data, product feedback data, and the order attribution platform; Based on a preset trigger method, collect the current product categories required by the purchasing user; Determining a plurality of designated historical purchase orders from the plurality of historical purchase orders based on the currently demanded commodity category and the commodity category in each of the historical purchase orders, wherein the commodity category of the designated historical purchase orders is the same as the currently demanded commodity category; Classifying the specified historical purchase order according to the product feedback data in the specified historical purchase order to obtain a first classification result, wherein the first classification result includes multiple product feedbacks and the order quantity of the historical purchase order corresponding to each product feedback; Classifying the specified historical purchase orders according to the order-attribution platforms in the specified historical purchase orders to obtain a second classification result, wherein the second classification result includes multiple e-commerce platforms and the order quantity of the historical purchase orders corresponding to each e-commerce platform; The purchasing demand of the purchasing user for the currently demanded commodity category is determined based on the first classification result and the second classification result.

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