Information Processing Method and Device for Cross-Border Commodities

Abstract

The embodiments of the present application provide a method and device for processing information of cross-border goods. By performing product similarity matching processing on the product data of different types of cross-border e-commerce platforms obtained, the same products in each type of cross-border e-commerce platform and the product aggregation information of each same product are obtained. Then, by performing information analysis processing on the product aggregation information of each same product, the price information of each same product is obtained. In this way, merchants can directly obtain the price information of the same product under different types of cross-border e-commerce platforms, which is convenient for merchants to formulate operation strategies for their own products and reduce the operation costs of merchants.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of computer technology, and in particular, to an information method and device for cross-border goods. Background Art

[0002] With the rapid development of the e-commerce sector, the emergence of cross-border e-commerce platforms has provided consumers with more shopping options and provided merchants with better opportunities.

[0003] In the existing technology, merchants need to collect and analyze relevant information of their products on various cross-border e-commerce platforms, and make cross-border product operation decisions based on the cross-border product information obtained by analysis.

[0004] However, collecting and analyzing product information from various cross-border e-commerce platforms requires merchants to have certain information collection and analysis capabilities, which greatly increases the labor and time costs of merchants during operations. Summary of the invention

[0005] The embodiments of the present application provide a cross-border commodity information method and device, which aggregate and analyze commodity data of various cross-border e-commerce platforms, so that merchants can simultaneously obtain price information of the same commodity after matching commodities on B2C cross-border e-commerce platforms and commodities on B2B cross-border e-commerce platforms, so that merchants can directly use the price information of the same commodity to formulate operation strategies for their own commodities and reduce merchant operating costs.

[0006] In a first aspect, an embodiment of the present application provides a method for processing information of cross-border commodities, including:

[0007] Obtain product data of multiple cross-border e-commerce platforms, wherein the multiple cross-border e-commerce platforms include at least one B2B type cross-border e-commerce platform and at least one B2C type cross-border e-commerce platform, and the product data include product description information of each product; perform product similarity matching processing on each product according to each product data, and determine the same products in each cross-border e-commerce platform; perform information aggregation processing based on the same products on each product data, and obtain product aggregation information of each same product; wherein the product aggregation information of each same product includes the product description information of the same product in the B2B type cross-border e-commerce platform and the product description information of the same product in the B2C type cross-border e-commerce platform; perform information analysis processing on the product aggregation information of each same product, and obtain price information of each same product.

[0008] It can be seen that by performing product similarity matching processing on the product data obtained from different types of cross-border e-commerce platforms, the same product and the product aggregation information of the same product can be determined according to the matching results; then, the product aggregation information of each same product is used to perform information analysis and processing to obtain the price information of each same product. This method enables merchants to quickly obtain the price information of the same product on different types of cross-border e-commerce platforms, which is convenient for merchants to formulate operation strategies for their own products and reduce merchant operating costs.

[0009] Optionally, obtaining product data from multiple cross-border e-commerce platforms includes: pulling product source data from each cross-border e-commerce platform; normalizing the data format of each product source data to obtain each product data; wherein each product data obtained after normalization has the same data structure, the same data description language, the same product price calculation logic and currency format.

[0010] It can be seen that by normalizing the data format of each commodity source data, the data format of each commodity data can be kept uniform, thereby facilitating subsequent processing such as aggregation and analysis of each commodity data.

[0011] Optionally, the data formats of each commodity source data are normalized to obtain each commodity data, including: performing data cleaning on each commodity source data to obtain each cleaned commodity source data; and normalizing the data formats of each cleaned commodity source data to obtain each commodity data.

[0012] It can be seen that by performing data cleaning on the source data of each commodity, the error data or obviously erroneous data can be eliminated in time, thereby improving the accuracy of the price information of each commodity obtained in the subsequent analysis.

[0013] Optionally, a product similarity matching process is performed on each product according to the product data to determine the same products on each cross-border e-commerce platform, including:

[0014] For the product description information of any product in any cross-border e-commerce platform of either the B2B type or the B2C type, calculate the similarity between the product description information of the any product and the product description information of each product in each cross-border e-commerce platform of the other type, and determine the same product of the any product in each cross-border e-commerce platform of the other type according to each similarity;

[0015] The product data is aggregated based on the same products to obtain the product aggregation information of the same products, including: for any product of the same product, the product description information of the any product on different cross-border e-commerce platforms is aggregated to obtain the product aggregation information.

[0016] It is known that when obtaining product aggregation information of the same product, the similarity between the products can be calculated by using the product description information of each product, so as to associate the same products belonging to different types of cross-border e-commerce platforms to obtain the same products, and then realize the acquisition of information of the same product on different cross-border e-commerce platforms, thereby ensuring the comprehensiveness of product aggregation information.

[0017] Optionally, the product description information includes product image information, and / or product attribute information, and / or product category information;

[0018] Calculate the similarity between the product description information of any product and the product description information of each product in each cross-border e-commerce platform of another type, and determine the same product of any product in each cross-border e-commerce platform of another type according to each similarity, including: calculate the image similarity between the product image information of any product and the product image information of each product in each cross-border e-commerce platform of another type; and / or calculate the attribute similarity between the product attribute information of any product and the product attribute information of each product in each cross-border e-commerce platform of another type; and / or calculate the category similarity between the product category information of any product and the product category information of each product in each cross-border e-commerce platform of another type; determine the same product of any product in each cross-border e-commerce platform of another type according to each image similarity, and / or, each attribute similarity, and / or, each category similarity.

[0019] It is known that by using the product image information, product attribute information and product category information of the product, the similarity of different products on different cross-border e-commerce platforms can be calculated, thereby realizing the identification of the same products.

[0020] Optionally, the product description information also includes product price description information;

[0021] The commodity aggregation information of each commodity is analyzed and processed to obtain the price information of each identical commodity, including: determining the average cost price information and average sales price information of each identical commodity based on the price description information of each identical commodity in different types of cross-border e-commerce platforms.

[0022] Optionally, the average cost price information and average sales price information of each identical product are determined based on the price description information of each identical product in each cross-border e-commerce platform of different types, including: determining the average cost price information of each identical product based on the price description information of each identical product in each cross-border e-commerce platform of B2B type; determining the average sales price information of each identical product based on the price description information of each identical product in each cross-border e-commerce platform of B2C type.

[0023] It can be seen that when determining the price information of each identical product, the average sales price information and average cost price information of each identical product can be calculated based on the price description information of the same product on different types of cross-border e-commerce platforms, thereby achieving a refined analysis of the product price information and meeting the needs of merchants.

[0024] Optionally, information analysis is performed on the product aggregation information of each identical product to obtain price information of each identical product, which also includes: standardizing the sales units of each identical product according to the price description information of each identical product in different types of cross-border e-commerce platforms to obtain processed price description information of each identical product; and information analysis is performed on the processed price description information of each identical product to obtain price information of each identical product.

[0025] It can be seen that, considering that different types of cross-border e-commerce platforms use different sales units and price standards, in this embodiment, the sales units used by different types of cross-border e-commerce platforms can also be standardized to ensure the accuracy of the price information of the same product obtained subsequently.

[0026] In a second aspect, the embodiment of the present application provides a cross-border commodity information processing transposition, including:

[0027] A data collection module is used to obtain commodity data of multiple cross-border e-commerce platforms, wherein the multiple cross-border e-commerce platforms include at least one B2B cross-border e-commerce platform and at least one B2C cross-border e-commerce platform, and the commodity data includes commodity description information of each commodity;

[0028] The data aggregation module is used to perform product similarity matching processing on each product according to each product data, and determine the same products in each cross-border e-commerce platform; it is also used to perform information aggregation processing based on the same products on each product data, and obtain product aggregation information of each same product; wherein the product aggregation information of each same product includes the product description information of the same product in the cross-border e-commerce platform of the B2B type and the product description information of the same product in the cross-border e-commerce platform of the B2C type;

[0029] The data analysis module is used to perform information analysis on the commodity aggregation information of the same commodities to obtain the price information of the same commodities.

[0030] Optionally, the data collection module is specifically used to: pull commodity source data from various cross-border e-commerce platforms; normalize the data format of each commodity source data to obtain each commodity data; wherein each commodity data obtained after normalization has the same data structure, the same data description language, the same commodity price calculation logic and currency format.

[0031] Optionally, the data collection module is specifically used to: perform data cleaning processing on each commodity source data to obtain cleaned commodity source data; perform data format normalization processing on each cleaned commodity source data to obtain each commodity data.

[0032] Optionally, a data aggregation module is specifically used to: for the product description information of any product in any cross-border e-commerce platform of any type of B2B type and B2C type, calculate the similarity between the product description information of any product and the product description information of each product in each cross-border e-commerce platform of another type, and determine the same product of the any product in each cross-border e-commerce platform of another type according to each similarity;

[0033] The data aggregation module is specifically used to aggregate the product description information of any product of the same product on different cross-border e-commerce platforms to obtain product aggregation information.

[0034] Optionally, the product description information includes product image information, and / or product attribute information, and / or product category information;

[0035] The data aggregation module is specifically used to: calculate the image similarity between the product image information of any product and the product image information of each product on another type of cross-border e-commerce platform; and / or calculate the attribute similarity between the product attribute information of any product and the product attribute information of each product on another type of cross-border e-commerce platform; and / or calculate the category similarity between the product category information of any product and the product category information of each product on another type of cross-border e-commerce platform; determine the same product of any product on another type of cross-border e-commerce platform based on each image similarity, and / or each attribute similarity, and / or each category similarity.

[0036] Optionally, the product description information also includes product price description information; the data analysis module is specifically used to determine the average cost price information and average sales price information of each identical product based on the price description information of each identical product on different types of cross-border e-commerce platforms.

[0037] Optionally, the data analysis module is specifically used to: determine the average cost price information of each identical product based on the price description information of each identical product in each cross-border e-commerce platform of the B2B type; determine the average sales price information of each identical product based on the price description information of each identical product in each cross-border e-commerce platform of the B2C type.

[0038] Optionally, the data analysis module is also used to: standardize the sales units of each identical product according to the price description information of each identical product in different types of cross-border e-commerce platforms to obtain the processed price description information of each identical product; perform information analysis on the processed price description information of each identical product to obtain the price information of each identical product.

[0039] In a third aspect, an embodiment of the present application provides an electronic device, including: a memory, a processor; at least one processor; and

[0040] Memory;

[0041] Memory stores computer-executable instructions;

[0042] At least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method according to the first aspect.

[0043] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the method of the first aspect is implemented.

[0044] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which implements the method of the first aspect when executed by a processor.

[0045] The embodiment of the present application provides a method and device for processing information of cross-border commodities, wherein commodity similarity matching is performed on commodity data obtained from multiple cross-border e-commerce platforms, and information aggregation processing of commodity data is performed based on the matched commodities of the same type, so as to obtain commodity aggregation information of each commodity; finally, information analysis processing is performed on the commodity aggregation information of each commodity to obtain price information of each commodity. In this way, merchants can directly obtain commodity information of multiple cross-border platforms, which is convenient for merchants to formulate operation strategies for their own commodities and reduce merchant operation costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0047] Figure 1 A schematic diagram of a network architecture on which this application is based;

[0048] Figure 2 A schematic diagram of a process for processing information of cross-border goods provided in an embodiment of the present application;

[0049] Figure 3A first data flow diagram of a cross-border commodity information method provided in an embodiment of the present application;

[0050] Figure 4 A second data flow diagram of a cross-border commodity information method provided in an embodiment of the present application;

[0051] Figure 5 A schematic diagram of the structure of a cross-border commodity information processing device provided in an embodiment of the present application;

[0052] Figure 6 A schematic diagram of the hardware structure of an electronic device provided in this application.

[0053] The above drawings show clear embodiments of the present disclosure, which will be described in more detail below. These drawings and text descriptions are not intended to limit the scope of the present disclosure in any way, but to illustrate the concepts of the present disclosure to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0054] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0055] In the technical solution of this application, the collection, storage, use, processing, transmission, provision and disclosure of the information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0056] Cross-border e-commerce platforms refer to electronic platforms that provide services for cross-border e-commerce transactions. The source and destination of goods sold on cross-border e-commerce platforms are generally in different countries. The emergence of cross-border e-commerce platforms not only provides consumers with more shopping options, but also provides merchants with better opportunities.

[0057] The types of cross-border e-commerce platforms include business-to-business (B2B) cross-border e-commerce platforms and business-to-consumer (B2C) cross-border e-commerce platforms. Among them, for merchants, they will play the role of commodity buyers on B2B cross-border e-commerce platforms, and play the role of commodity sellers on B2C cross-border e-commerce platforms. In the prior art, merchants need to collect and analyze the relevant information of commodities on B2B cross-border e-commerce platforms and B2C cross-border e-commerce platforms in order to formulate commodity operation strategies.

[0058] However, collecting product information from different cross-border e-commerce platforms and analyzing the information requires merchants to have certain information collection and analysis capabilities. In particular, merchants need to switch back and forth between different types of cross-border e-commerce platforms to perform a series of analysis operations such as source comparison, price conversion, and price comparison for different commodities. These operations will greatly increase the labor and time costs of merchants during operation.

[0059] In view of the above problems, the embodiments of the present application provide a method and device for processing information of cross-border commodities, wherein commodity similarity matching is performed on commodity data obtained from different types of cross-border e-commerce platforms to obtain commodity information of the same items on each type of cross-border e-commerce platform and commodity aggregation information of the same items; then, information analysis is performed on the commodity aggregation information of the same items to obtain price information of the same items. In this way, merchants can directly obtain price information of the same commodity on different types of cross-border e-commerce platforms, which is convenient for merchants to formulate operation strategies for their own commodities and reduce merchant operating costs.

[0060] Figure 1 is a schematic diagram of a network architecture on which this application is based. Figure 1 The network architecture shown may specifically include a server 1 and a terminal 2 .

[0061] Among them, server 1 can specifically be a server cluster set up in the cloud. Through the preset operation logic in server 1, the server will obtain product data from various cross-border e-commerce platforms, and perform a series of processing on the product data to obtain the price information of the product.

[0062] The terminal 2 may specifically be a hardware device having network communication function and information display function, including but not limited to a smart phone, a tablet computer, a desktop computer, an Internet of Things device, etc.

[0063] Merchants can communicate with server 1 through terminal 2 and obtain price information of each commodity calculated by server 1 from server 1. Subsequently, merchants can make corresponding commodity operation decisions based on their own situation and price information.

[0064] The information processing method and device for cross-border goods provided by the present application are described in detail below through specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0065] It should be noted that the execution subject of the cross-border commodity information processing method provided in this embodiment is the aforementioned server. Figure 2 A flow chart of a method for processing information of cross-border commodities provided in an embodiment of the present application. Figure 2As shown, the information processing method of the cross-border commodity may include the following steps:

[0066] Step 201: Obtain product data of multiple cross-border e-commerce platforms, wherein the multiple cross-border e-commerce platforms include at least one B2B type cross-border e-commerce platform and at least one B2C type cross-border e-commerce platform, and the product data includes product description information of each product.

[0067] Step 202: Perform product similarity matching on each product according to the product data to determine the same products on each cross-border e-commerce platform.

[0068] Step 203: Perform information aggregation processing on each product data based on the same product to obtain product aggregation information of each same product; wherein the product aggregation information of each same product includes the product description information of the same product in the B2B type cross-border e-commerce platform and the product description information of the same product in the B2C type cross-border e-commerce platform.

[0069] Step 204: Analyze and process the aggregated information of the same products to obtain price information of the same products.

[0070] In the implementation manner of the present application, the multiple cross-border e-commerce platforms should include the two types of cross-border e-commerce platforms mentioned above, that is, the multiple cross-border e-commerce platforms include at least one B2B type cross-border e-commerce platform and at least one B2C type cross-border e-commerce platform.

[0071] The server integrates and analyzes the product data in the B2C cross-border e-commerce platform and the B2B cross-border e-commerce platform to screen out the same products and obtain the price information of each same product on different cross-border e-commerce platforms. By pushing the price information to the merchants, the merchants can directly use the product information to make operational decisions and reduce the operating costs of the merchants.

[0072] The following will describe the various steps in the implementation of the present application in detail with reference to the accompanying drawings:

[0073] In step 201, the server may obtain the product description information of each product on these cross-border e-commerce platforms by using technical means including crawlers. The product description information refers to information used to describe the product-related conditions of the product on the cross-border e-commerce platform. Generally speaking, the product description information includes but is not limited to the description of the product selling price, the description of the product image, the description of the product attributes, the description of the product sales situation, the description of the industry category to which the product belongs, and the description of the product after-sales evaluation, etc.

[0074] On the basis of step 201, in order to ensure that the commodity data of different cross-border e-commerce platforms can be subsequently analyzed, aggregated and processed, in an optional implementation manner, the commodity data is the data obtained by the server after normalizing the commodity source data.

[0075] The server will pull commodity source data from various cross-border e-commerce platforms, normalize the data format of each commodity source data, and obtain each commodity data. Among them, each commodity data obtained after normalization has the same data structure, the same data description language, the same commodity price calculation logic and currency format.

[0076] Specifically, for commodity source data from different cross-border e-commerce platforms, since different cross-border e-commerce platforms use different computer languages ​​to store and manage their data, the data structures and data description languages ​​of different commodity source data will differ with the differences in computer languages. In this regard, the server will use common data normalization processing technology to structure and translate the data structures and data description languages ​​of different commodity source data, so that the commodity data obtained after processing has a unified data structure and data description language.

[0077] At the same time, for commodity source data from different cross-border e-commerce platforms, since different cross-border e-commerce platforms are prone to use different price calculation rules and price preferential policies to calculate commodity prices, the prices of commodities directly captured from different cross-border e-commerce platforms are not the real prices of commodities. Based on this, the server will unify the price calculation logic of commodity source data from different cross-border e-commerce platforms, so that the price of each commodity in each commodity data is calculated using a unified price calculation logic, thereby improving the accuracy of subsequent analysis.

[0078] Also, due to the differences in operating regions and countries of different cross-border e-commerce platforms, different cross-border e-commerce platforms will use different currency types to describe the prices of goods. In this case, the server will also unify the currency unit types of the goods in each product source data to ensure that the currency type of each product in each product data is the same, which is convenient for subsequent analysis and clustering.

[0079] In other words, by normalizing the data format of each commodity source data, the data format of each commodity data can be kept uniform, thereby facilitating subsequent processing such as aggregation and analysis of each commodity data.

[0080] In order to further improve the authenticity of the data, after the server pulls or obtains the commodity source data, the server can optionally perform data cleaning on each commodity source data to obtain cleaned commodity source data; and perform data format normalization on each cleaned commodity source data to obtain each commodity data.

[0081] Specifically, the data cleaning process for the source data of goods includes: removing the relevant data of abnormal goods and removing the abnormal data of goods. Among them, abnormal goods refer to expired goods, non-sale goods, do not bid goods, and private goods on the cross-border e-commerce platform; and abnormal data refers to data with abnormal data values, such as abnormal product price values. The identification of abnormal price values ​​can be achieved by using the price variation coefficient algorithm, and this application will not explain this in detail.

[0082] Through the above data cleaning process, abnormal data in each commodity source data can be eliminated and relatively authentic commodity source data can be retained, thereby improving the accuracy of the price information of each commodity obtained in subsequent analysis.

[0083] In step 202 and step 203, after obtaining the product data of various types of cross-border e-commerce platforms, the server will perform matching processing and information aggregation processing on each product data in turn to obtain information about the same product on different types of cross-border e-commerce platforms.

[0084] Specifically, the process of matching the data of each product to obtain the same product can be realized based on similarity calculation. That is, for the product description information of any product in any cross-border e-commerce platform of any type of B2B type and B2C type, the similarity between the product description information of any product and the product description information of each product in each cross-border e-commerce platform of another type is calculated, and the same product of any product in each cross-border e-commerce platform of another type is determined according to each similarity; for any product of the same product, the product description information of any product on different cross-border e-commerce platforms is aggregated to obtain product aggregation information.

[0085] Figure 3 A first data flow diagram of a cross-border commodity information method provided in an embodiment of the present application, referring to Figure 3 Taking the current scenario including B2B cross-border e-commerce platform A and B2C cross-border e-commerce platform B as an example, the B2B cross-border e-commerce platform A includes product description information of multiple products, and the B2C cross-border e-commerce platform B also includes product description information of multiple products.

[0086] like Figure 3As shown, for product A1 in B2B cross-border e-commerce platform A, the server will calculate the similarity between each product in B2C cross-border e-commerce platform B and product A1. Through calculation, it can be known that the similarity between product A1 and product B1 is 90%, the similarity between product A1 and product B2 is 10%, and the similarity between product A1 and product B3 is 5%. Through similarity comparison, it can be known that product A1 and product B1 are the same product.

[0087] Similar to the matching process for product A1, the server will also match each product in each type of cross-border e-commerce platform, such as product A2, product A3, etc., so as to select the same products belonging to different cross-border e-commerce platforms (such as Figure 3 for subsequent operations.

[0088] In the above process, the calculation of the similarity mentioned above will be different based on the different information in the product description information:

[0089] In an optional implementation, the product description information includes at least one of the following information: product image information, product attribute information, and product category information. Accordingly, the similarity comparison between the same products will be determined based on the similarity between the product image information, product attribute information, and product category information.

[0090] Specifically, the server will calculate the image similarity between the product image information of any product and the product image information of each product in another type of cross-border e-commerce platforms; and / or calculate the attribute similarity between the product attribute information of any product and the product attribute information of each product in another type of cross-border e-commerce platforms; and / or calculate the category similarity between the product category information of any product and the product category information of each product in another type of cross-border e-commerce platforms; based on the image similarities, and / or the attribute similarities, and / or the category similarities, determine the same product of any product in another type of cross-border e-commerce platforms.

[0091] Among them, product image information refers to image information, which is generally used to describe the appearance and shape of the product. In the above implementation, by determining the image similarity between the product image information of each product, it is possible to determine whether the products are the same product based on their appearance and shape.

[0092] Product attribute information includes objective attribute information and subjective attribute information of the product; objective attribute information generally includes product name, material, size, weight, brand, etc., and subjective attribute information generally includes product quality, product cost performance, product evaluation, product image label, etc. By determining the attribute similarity of the product attribute information of each product, the similarity of each product at the product attribute level can be determined, and then whether the products are the same product can be determined based on the product attributes.

[0093] Product category information refers to the main field classification and sub-categories under the main field classification to which the product belongs in the cross-border e-commerce platform to which it belongs, such as women's clothing under the clothing category, steel products under the industrial category, and smart phones under the electronic digital category, etc. In general, different cross-border e-commerce platforms will use different product category classification logics to classify products. Based on this, when determining the category similarity of each product in the product category information, the category information of the product can be first mapped to the product category under the preset classification logic according to the category classification logic of the cross-border e-commerce platform to which each product belongs, and then the category similarity of each product that uses the same category classification logic after logical mapping is determined, thereby realizing the determination of whether the products are the same product based on the product category.

[0094] After completing the confirmation of the same product, the server will also analyze and process the product aggregation information of each product of the same item to obtain the price information of each product of the same item, wherein the price information includes the average cost price information and the average selling price information.

[0095] Specifically, the product description information also includes the product price description information. The server can determine the average cost price information and average sales price information of each of the same products based on the price description information of each of the same products on different types of cross-border e-commerce platforms.

[0096] Figure 4 A second data flow diagram of a cross-border commodity information method provided in an embodiment of the present application, refer to Figure 4 It can be seen that the cross-border e-commerce platforms include B2B type cross-border e-commerce platforms "S11" and "S12", and B2C type cross-border e-commerce platforms "S21", "S22" and "S23".

[0097] For merchants, they will assume the role of commodity buyers on the B2B cross-border e-commerce platform, and the price description information of commodity C on the cross-border e-commerce platform S11 and the cross-border e-commerce platform S12 will constitute the average cost price information of commodity C; merchants will assume the role of commodity sellers on the B2C cross-border e-commerce platform, and the price description information of commodity C on the B2C cross-border e-commerce platform S21, the B2C cross-border e-commerce platform S22 and the B2C cross-border e-commerce platform S23 will constitute the average sales price information of commodity C.

[0098] That is, the server can determine the average cost price information of each same product based on the price description information of each same product in each cross-border e-commerce platform of the B2B type; and determine the average selling price information of each same product based on the price description information of each same product in each cross-border e-commerce platform of the B2C type. Among them, in an optional implementation, the average cost price information and the average selling price information can be obtained by weighted mean calculation, and its calculation method will not be described in detail.

[0099] On the basis of the above-mentioned implementation methods, in order to further facilitate merchants to obtain relevant information of different cross-border e-commerce platforms, the server standardizes the sales units of each identical product according to the price description information of each identical product on different types of cross-border e-commerce platforms to obtain the processed price description information of each identical product; the processed price description information of each identical product is analyzed and processed to obtain the price information of each identical product.

[0100] Specifically, for B2B cross-border e-commerce platforms "S11" and "S12", the commodities sold on their platforms are generally bulk commodities, that is, the units used in the sales of commodities are often large, for example, for the commodity "flour", the sales unit used is "ton"; for B2C cross-border e-commerce platforms "S21", "S22" and "S23", the commodities sold on their platforms are generally small commodities, that is, the units used in the sales of commodities are often small, for example, for the same commodity "flour", the sales unit used is "gram". Based on this situation, the server will standardize the sales units of the same commodity on different cross-border e-commerce platforms, so that for the same commodity "flour", the price description is based on the sales unit of "gram" or "ton", thereby further improving the accuracy of price information and facilitating the use of merchants.

[0101] Of course, based on the average sales price information and average cost price information of the same products obtained above, the server also calculates various operational indicators of the products such as the average profit information of the same products based on the average sales price information and the average cost price information, and these operational indicators will provide a reference for the formulation of the merchant's operational strategy.

[0102] In this embodiment, product similarity matching is performed on the product data obtained from different types of cross-border e-commerce platforms to obtain the same products in each type of cross-border e-commerce platform and the product aggregation information of the same products; then, the product aggregation information of the same products is analyzed and processed to obtain the price information of the same products. In this way, merchants can directly obtain the price information of the same product on different types of cross-border e-commerce platforms, which is convenient for merchants to formulate operation strategies for their own products and reduce merchant operating costs.

[0103] On the basis of the above-mentioned implementation modes, the execution subject of the cross-border commodity information processing method provided in this embodiment is the server mentioned above.

[0104] Figure 5 A schematic diagram of the structure of a cross-border commodity information processing device provided in an embodiment of the present application. Figure 5 As shown, the cross-border commodity information processing device may include:

[0105] The data collection module 501 is used to obtain commodity data of multiple cross-border e-commerce platforms, wherein the multiple cross-border e-commerce platforms include at least one B2B cross-border e-commerce platform and at least one B2C cross-border e-commerce platform, and the commodity data includes commodity description information of each commodity;

[0106] The data aggregation module 502 is used to perform product similarity matching processing on each product according to each product data, and determine the same products in each cross-border e-commerce platform; it is also used to perform information aggregation processing based on the same products on each product data, and obtain product aggregation information of each same product; wherein the product aggregation information of each same product includes the product description information of the same product in the cross-border e-commerce platform of the B2B type and the product description information of the same product in the cross-border e-commerce platform of the B2C type;

[0107] The data analysis module 503 is used to perform information analysis on the commodity aggregation information of the commodities of the same type to obtain price information of the commodities of the same type.

[0108] Optionally, the data collection module 501 is specifically used to: pull commodity source data from various cross-border e-commerce platforms; normalize the data format of each commodity source data to obtain each commodity data; wherein each commodity data obtained after normalization has the same data structure, the same data description language, the same commodity price calculation logic and currency format.

[0109] Optionally, the data collection module 501 is specifically used to: perform data cleaning processing on each commodity source data to obtain each cleaned commodity source data; perform data format normalization processing on each cleaned commodity source data to obtain each commodity data.

[0110] Optionally, the data aggregation module 502 is specifically used to: for the product description information of any product in any cross-border e-commerce platform of any type of B2B type and B2C type, calculate the similarity between the product description information of any product and the product description information of each product in each cross-border e-commerce platform of another type, and determine the same product of the any product in each cross-border e-commerce platform of another type according to each similarity;

[0111] The data aggregation module 502 is also specifically used to aggregate the product description information of any product of the same product on different cross-border e-commerce platforms to obtain product aggregation information.

[0112] Optionally, the product description information includes product image information, and / or product attribute information, and / or product category information;

[0113] The data aggregation module 502 is specifically used to: calculate the image similarity between the product image information of any product and the product image information of each product in another type of cross-border e-commerce platform; and / or calculate the attribute similarity between the product attribute information of any product and the product attribute information of each product in another type of cross-border e-commerce platform; and / or calculate the category similarity between the product category information of any product and the product category information of each product in another type of cross-border e-commerce platform; determine the same product of any product in another type of cross-border e-commerce platform based on each image similarity, and / or each attribute similarity, and / or each category similarity.

[0114] Optionally, the product description information also includes product price description information; the data analysis module 503 is specifically used to determine the average cost price information and average sales price information of each same product based on the price description information of each same product in different types of cross-border e-commerce platforms.

[0115] Optionally, the data analysis module 503 is specifically used to: determine the average cost price information of each same product based on the price description information of each same product in each B2B type cross-border e-commerce platform; determine the average sales price information of each same product based on the price description information of each same product in each B2C type cross-border e-commerce platform.

[0116] Optionally, the data analysis module 503 is also used to: standardize the sales units of each identical product according to the price description information of each identical product in different types of cross-border e-commerce platforms to obtain the processed price description information of each identical product; perform information analysis on the processed price description information of each identical product to obtain the price information of each identical product.

[0117] The embodiment of the present application provides an information processing device for cross-border goods, which performs product similarity matching processing on the product data obtained from different types of cross-border e-commerce platforms to obtain the same products in each type of cross-border e-commerce platform and the product aggregation information of each same product; then, by performing information analysis processing on the product aggregation information of each same product, the price information of each same product is obtained. In this way, merchants can directly obtain the price information of the same product on different types of cross-border e-commerce platforms, which is convenient for merchants to formulate operation strategies for their own products and reduce the operating costs of merchants.

[0118] Figure 6 A schematic diagram of the hardware structure of an electronic device provided in this application, such as Figure 6 As shown, the embodiment of the present application provides an electronic device, the memory of the electronic device can be used to store at least one program instruction, and the processor is used to execute at least one program instruction to implement the technical solution of the above method embodiment. Its implementation principle and technical effect are similar to those of the above method related embodiments, and will not be repeated here.

[0119] The embodiment of the present application provides a chip. The chip includes a processor, and the processor is used to call a computer program in a memory to execute the technical solution in the above embodiment. Its implementation principle and technical effect are similar to those of the above related embodiments, and will not be repeated here.

[0120] The embodiment of the present application provides a computer program product, when the computer program product is run on an electronic device, the electronic device executes the technical solution in the above embodiment. Its implementation principle and technical effect are similar to those of the above related embodiments, and will not be repeated here.

[0121] The embodiment of the present application provides a computer-readable storage medium on which program instructions are stored. When the program instructions are executed by an electronic device, the electronic device executes the technical solution of the above embodiment. Its implementation principle and technical effect are similar to those of the above related embodiments, and will not be repeated here.

[0122] The above specific implementation methods further illustrate the purpose, technical solutions and beneficial effects of the present application in detail. It should be understood that the above are only specific implementation methods of the present application and are not used to limit the protection scope of the present application. Any modifications, equivalent substitutions, improvements, etc. made on the basis of the technical solutions of the present application should be included in the protection scope of the present application.

Claims

1. An information processing method for cross-border goods, characterized in that, it includes: Pulling commodity source data from each cross-border e-commerce platform; Normalizing the data formats of the commodity source data to obtain each commodity data; wherein, the obtained commodity data after normalization has the same data structure, the same data description language, the same commodity price operation logic, and currency format; wherein, the multiple cross-border e-commerce platforms include at least one cross-border e-commerce platform of B2B type and at least one cross-border e-commerce platform of B2C type, and the commodity data includes the commodity description information of each commodity; Performing commodity similarity matching processing on each commodity according to each commodity data to determine the same model commodities in each cross-border e-commerce platform; Performing information aggregation processing on each commodity data based on the same model commodities to obtain the commodity aggregation information of each same model commodity; wherein, the commodity aggregation information of each same model commodity includes the commodity description information of this same model commodity in the cross-border e-commerce platform of B2B type and the commodity description information of this commodity in the cross-border e-commerce platform of B2C type; Performing information analysis processing on the commodity aggregation information of each same model commodity to obtain the price information of each same model commodity.

2. The information processing method according to claim 1, characterized in that, the normalizing the data formats of the commodity source data to obtain each commodity data includes: Performing data cleaning processing on each commodity source data to obtain the cleaned commodity source data; Normalizing the data formats of the cleaned commodity source data to obtain the commodity data.

3. The information processing method according to claim 1, characterized in that, the performing commodity similarity matching processing on each commodity according to each commodity data to determine the same model commodities in each cross-border e-commerce platform includes: For the commodity description information of any commodity in any cross-border e-commerce platform of any one type among the B2B type and the B2C type, calculating the similarity between the commodity description information of this any commodity and the commodity description information of each commodity in each cross-border e-commerce platform of the other type, and determining the same model commodities of this any commodity in each cross-border e-commerce platform of the other type according to each similarity; the performing information aggregation processing on each commodity data based on the same model commodities to obtain the commodity aggregation information of each same model commodity includes: For any commodity belonging to the same model commodity, aggregating the commodity description information of this any commodity in different cross-border e-commerce platforms to obtain commodity aggregation information.

4. The information processing method according to claim 3, characterized in that, the commodity description information includes commodity picture information, and / or, commodity attribute information, and / or, commodity category information; the calculating the similarity between the commodity description information of this any commodity and the commodity description information of each commodity in each cross-border e-commerce platform of the other type, and determining the same model commodities of this any commodity in each cross-border e-commerce platform of the other type includes: Calculate the image similarity between the product image information of any product and the product image information of each product on another type of cross-border e-commerce platform; and / or, calculate the attribute similarity between the product attribute information of any product and the product attribute information of each product on another type of cross-border e-commerce platform; and / or, calculate the category similarity between the product category information of any product and the product category information of each product on another type of cross-border e-commerce platform; According to the similarity of each image, and / or the similarity of each attribute, and / or the similarity of each category, the same product of the product in each cross-border e-commerce platform of another type is determined.

5. The information processing method according to claim 1, It is characterized in that The product description information also includes product price description information; The information analysis and processing of the commodity aggregate information of each commodity to obtain the price information of each commodity of the same type includes: According to the price description information of each same product in different types of cross-border e-commerce platforms, the average cost price information and average sales price information of each same product are determined.

6. The information processing method according to claim 5, It is characterized in that Determining the average cost price information and average selling price information of each same product based on the price description information of each same product in different types of cross-border e-commerce platforms includes: Determine the average cost price information of each of the same products based on the price description information of each of the same products in each cross-border e-commerce platform of the B2B type; According to the price description information of each same product in each cross-border e-commerce platform of the B2C type, the average sales price information of each same product is determined.

7. The information processing method according to claim 5, It is characterized in that The information analysis and processing of the commodity aggregate information of the commodities of the same type to obtain the price information of the commodities of the same type also includes: According to the price description information of each same product in different types of cross-border e-commerce platforms, the sales units of each same product are standardized to obtain the processed price description information of each same product; The processed price description information of each commodity of the same type is subjected to information analysis to obtain price information of each commodity of the same type.

8. A transposition of information processing for cross-border commodities, It is characterized in that include: A data collection module is used to obtain commodity data of multiple cross-border e-commerce platforms, wherein the multiple cross-border e-commerce platforms include at least one B2B cross-border e-commerce platform and at least one B2C cross-border e-commerce platform, and the commodity data includes commodity description information of each commodity; The data aggregation module is used to perform product similarity matching processing on each product according to each product data, and determine the same products in each cross-border e-commerce platform; it is also used to perform information aggregation processing based on the same products on each product data, and obtain product aggregation information of each same product; wherein the product aggregation information of each same product includes the product description information of the same product in the cross-border e-commerce platform of the B2B type and the product description information of the same product in the cross-border e-commerce platform of the B2C type; A data analysis module, configured to perform information analysis and processing on the product aggregation information of the same-model products to obtain the price information of each same-model product; The data acquisition module is specifically configured to pull product source data from each cross-border e-commerce platform; perform normalization processing on the data formats of the product source data to obtain each product data; wherein, the product data obtained after the normalization processing has the same data structure, the same data description language, the same product price operation logic, and currency format.

9. An electronic device, wherein, comprising: at least one processor; and a memory; The memory stores computer-executable instructions; The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the method according to claims 1-7.

10. A computer-readable storage medium, characterized in that computer-executable instructions are stored in the computer-readable storage medium, and when the processor executes the computer-executable instructions, the method according to claims 1-7 is implemented.

11. A computer program product, comprising computer instructions, characterized in that when the computer instructions are executed by the processor, the method according to claims 1-7 is implemented.

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