CN114610768A - Cross-border commodity information processing method and device - Google Patents
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Abstract
The embodiment of the application provides an information processing method and device for cross-border commodities, which are used for matching commodity similarity of obtained commodity data of different types of cross-border e-commerce platforms to obtain the commodities of the same type and commodity aggregation information of the commodities of the same type in the cross-border e-commerce platforms of the different types; and then, the information analysis and processing are carried out on the commodity aggregation information of the commodities of the same type to obtain the price information of the commodities of the same type, so that the merchant can directly obtain the price information of the same commodity under different types of cross-border e-commerce platforms, the merchant can conveniently make an operation strategy for the commodity of the merchant, and the operation cost of the merchant is reduced.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to an information method and device for cross-border commodities.
Background
With the rapid development of the e-commerce field, the appearance of the cross-border e-commerce platform provides more shopping options for consumers and better opportunities for merchants.
In the prior art, a merchant needs to collect and analyze relevant information of own commodities in various cross-border e-commerce platforms, and perform operation decision of cross-border commodities according to cross-border commodity information obtained through analysis.
However, acquiring commodity information in various cross-border e-commerce platforms and analyzing the information requires that the merchant has certain information acquisition and analysis capability, which greatly increases the labor cost and time cost of the merchant in operation.
Disclosure of Invention
The embodiment of the application provides a cross-border commodity information method and device, and through aggregation analysis processing of commodity data of each cross-border e-commerce platform, a merchant can simultaneously obtain price information of a same-style commodity obtained after matching processing is carried out on a commodity of a B2C type cross-border e-commerce platform and a commodity of a B2B cross-border e-commerce platform, so that the merchant can conveniently and directly use the price information of the same-style commodity to make an operation strategy for the commodity, and the operation cost of the merchant is reduced.
In a first aspect, an embodiment of the present application provides an information processing method for cross-border commodities, including:
the method comprises the steps of obtaining commodity data of a plurality of cross-border e-commerce platforms, wherein the plurality of cross-border e-commerce platforms comprise at least one cross-border e-commerce platform of a B2B type and at least one cross-border e-commerce platform of a B2C type, and the commodity data comprises commodity description information of each commodity; performing commodity similarity matching processing on each commodity according to each commodity data, and determining the same type of commodity in each cross-border e-commerce platform; performing information aggregation processing based on the same type of commodities on each commodity data to obtain commodity aggregation information of each same type of commodity; the commodity aggregation information of each commodity of the same type comprises commodity description information of the commodity of the same type in a B2B type cross-border e-commerce platform and commodity description information of the commodity in a B2C type cross-border e-commerce platform; and carrying out information analysis processing on the commodity aggregation information of the commodities of the same type to obtain the price information of the commodities of the same type.
The method comprises the steps that commodity similarity matching processing is conducted on obtained commodity data of different types of cross-border e-commerce platforms, and commodity aggregation information of the same type of commodities and the same type of commodities is determined according to matching results; then, the information is analyzed and processed by utilizing the commodity aggregation information of the commodities of the same type, so that the price information of the commodities of the same type is obtained, the price information of the same commodity in different types of cross-border e-commerce platforms can be quickly obtained by a merchant, the merchant can conveniently make an operation strategy for the commodity, and the operation cost of the merchant is reduced.
Optionally, the obtaining of the commodity data of a plurality of cross-border e-commerce platforms includes: pulling commodity source data from each cross-border e-commerce platform; normalizing the data format of the source data of each commodity to obtain the data of each commodity; the commodity data obtained after the normalization processing has the same data structure, the same data description language, the same commodity price calculation logic and the same currency format.
It can be known that the data formats of the commodity source data are unified by performing normalization processing on the data formats of the commodity source data, so that the commodity data can be conveniently subjected to processing such as aggregation, analysis and the like in the following process.
Optionally, the data format of each commodity source data is normalized to obtain each commodity data, and the method includes: carrying out data cleaning processing on each commodity source data to obtain each cleaned commodity source data; and carrying out normalization processing on the data format of each cleaned commodity source data to obtain each commodity data.
The data of each commodity source data is cleaned, so that error data or obviously erroneous data can be removed in time, and the accuracy of price information of each commodity obtained through subsequent analysis is improved.
Optionally, the matching processing of the commodity similarity is performed on each commodity according to each commodity data, and the same type of commodity in each cross-border e-commerce platform is determined, including:
for the commodity description information of any commodity in any cross-border e-commerce platform of any one of the B2B type and the B2C type, calculating the similarity between the commodity description information of the commodity and the commodity description information of each commodity in each cross-border e-commerce platform of the other type, and determining the same type of commodity in each cross-border e-commerce platform of the other type according to the similarity;
the information aggregation processing based on the same-style commodities is carried out on each commodity data to obtain the commodity aggregation information of each same-style commodity, and the information aggregation processing comprises the following steps: and for any commodity belonging to the same type of commodity, carrying out aggregation processing on the commodity description information of the commodity on different cross-border e-commerce platforms to obtain commodity aggregation information.
It can be known that, when the commodity aggregate information of the same type of commodity is obtained, the similarity among the commodities can be calculated by utilizing the commodity description information of each commodity, so that the same commodity belonging to different types of cross-border e-commerce platforms is associated to obtain the same type of commodity, the information of the same commodity on different cross-border e-commerce platforms is obtained, and the comprehensiveness of the commodity aggregate information is ensured.
Optionally, the commodity description information includes commodity picture information, and/or commodity attribute information, and/or commodity category information;
calculating the similarity between the commodity description information of any commodity and the commodity description information of each commodity in each cross-border e-commerce platform of another type, and determining the same type of commodity of any commodity in each cross-border e-commerce platform of another type according to each similarity, wherein the method comprises the following steps: calculating the picture similarity between the commodity picture information of any commodity and the commodity picture information of each commodity in each cross-border e-commerce platform of another type; and/or calculating the attribute similarity between the commodity attribute information of any commodity and the commodity attribute information of each commodity in each cross-border e-commerce platform of another type; and/or calculating the category similarity between the commodity category information of any commodity and the commodity category information of each commodity in each cross-border e-commerce platform of another type; and determining the same type of commodity of any commodity in each cross-border e-commerce platform of the other type according to the similarity of each picture, and/or the similarity of each attribute, and/or the similarity of each category.
It can be known that the similarity of different commodities of different cross-border e-commerce platforms can be calculated by utilizing commodity picture information, commodity attribute information and commodity category information of the commodities, so that the same type of commodities can be determined.
Optionally, the commodity description information further includes price description information of the commodity;
the method for analyzing and processing the commodity aggregation information of each commodity to obtain the price information of each commodity of the same type comprises the following steps: and determining average cost price information and average selling price information of the same type of commodities according to the price description information of the same type of commodities in different types of cross-border e-commerce platforms.
Optionally, determining average cost price information and average sale price information of the same type of goods according to price description information of the same type of goods in different types of cross-border e-commerce platforms includes: determining average cost price information of the commodities of the same type according to price description information of the commodities of the same type in the trans-border e-commerce platforms of the type B2B; and determining average selling price information of the commodities of the same type according to the price description information of the commodities of the same type in the trans-border e-commerce platforms of the type B2C.
It can be known that when the price information of each commodity of the same type is determined, the average selling price information and the average cost price information of each commodity of the same type can be calculated and obtained according to the price description information of the commodity of the same type in different types of cross-border e-commerce platforms, the detailed analysis of the price information of the commodity is realized, and the requirements of merchants are met.
Optionally, the information analysis processing is performed on the commodity aggregation information of each commodity of the same type to obtain price information of each commodity of the same type, and the method further includes: according to the price description information of the same type of commodities in different types of cross-border e-commerce platforms, carrying out standardized processing on sales units of the same type of commodities to obtain the processed price description information of the same type of commodities; and performing information analysis processing on the processed price description information of each commodity of the same type to obtain price information of each commodity of the same type.
It can be known that, considering that the sales units and the price standards used by different types of cross-border e-commerce platforms are different, in the embodiment, the accuracy of the subsequently obtained price information of the same type of commodity can be ensured by performing standardization processing on the sales units used by the different types of cross-border e-commerce platforms.
In a second aspect, an embodiment of the present application provides an information processing apparatus for cross-border merchandise, including:
the data acquisition module is used for acquiring commodity data of a plurality of cross-border e-commerce platforms, wherein the plurality of cross-border e-commerce platforms comprise 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 comprises commodity description information of each commodity;
the data aggregation module is used for carrying out commodity similarity matching processing on each commodity according to each commodity data and determining the same type of commodity in each cross-border e-commerce platform; the system is also used for carrying out information aggregation processing based on the same type of commodities on each commodity data to obtain commodity aggregation information of each same type of commodity; the commodity aggregation information of each identical commodity comprises commodity description information of the identical commodity in the cross-border e-commerce platform of the type B2B and commodity description information of the identical commodity in the cross-border e-commerce platform of the type B2C;
and the data analysis module is used for carrying out information analysis processing on the commodity aggregation information of the commodities of the same type to obtain the price information of the commodities of the same type.
Optionally, the data acquisition module is specifically configured to: pulling commodity source data from each cross-border e-commerce platform; normalizing the data format of each commodity source data to obtain each commodity data; the commodity data obtained after normalization processing have the same data structure, the same data description language, the same commodity price operation logic and the same currency format.
Optionally, the data acquisition module is specifically configured to: carrying out data cleaning processing on each commodity source data to obtain each cleaned commodity source data; and carrying out normalization processing on the data format of each cleaned commodity source data to obtain each commodity data.
Optionally, the data aggregation module is specifically configured to: for the commodity description information of any commodity in any cross-border e-commerce platform of any one of the B2B type and the B2C type, calculating the similarity between the commodity description information of the commodity and the commodity description information of each commodity in each cross-border e-commerce platform of the other type, and determining the same type of commodity in each cross-border e-commerce platform of the other type according to the similarity;
and the data aggregation module is specifically used for aggregating the commodity description information of any commodity in different cross-border e-commerce platforms to obtain commodity aggregation information for any commodity belonging to the same type of commodity.
Optionally, the commodity description information includes commodity picture information, and/or commodity attribute information, and/or commodity category information;
the data aggregation module is specifically configured to: calculating the picture similarity between the commodity picture information of any commodity and the commodity picture information of each commodity in each cross-border e-commerce platform of another type; and/or calculating the attribute similarity between the commodity attribute information of any commodity and the commodity attribute information of each commodity in each cross-border e-commerce platform of another type; and/or calculating the category similarity between the commodity category information of any commodity and the commodity category information of each commodity in each cross-border e-commerce platform of another type; and determining the same type of commodity of any commodity in each cross-border e-commerce platform of the other type according to the similarity of each picture, and/or the similarity of each attribute, and/or the similarity of each category.
Optionally, the commodity description information further includes price description information of the commodity; the data analysis module is specifically configured to: and determining average cost price information and average selling price information of the same type of commodities according to the price description information of the same type of commodities in different types of cross-border e-commerce platforms.
Optionally, the data analysis module is specifically configured to: determining average cost price information of the commodities of the same type according to price description information of the commodities of the same type in the trans-border e-commerce platforms of the type B2B; and determining average selling price information of the commodities of the same type according to the price description information of the commodities of the same type in the trans-border e-commerce platforms of the type B2C.
Optionally, the data analysis module is further configured to: according to the price description information of the same type of commodities in different types of cross-border e-commerce platforms, carrying out standardized processing on sales units of the same type of commodities to obtain the processed price description information of the same type of commodities; and performing information analysis processing on the processed price description information of each commodity of the same type to obtain price information of each commodity of the same type.
In a third aspect, an embodiment of the present application provides an electronic device, including: a memory, a processor; at least one processor; and
a memory;
the memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored by the memory to cause the at least one processor to perform a method as in the first aspect.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, in which computer-executable instructions are stored, and when the processor executes the computer-executable instructions, the method according to the first aspect is implemented.
In a fifth aspect, embodiments of the present application provide a computer program product comprising a computer program that, when executed by a processor, implements the method according to the first aspect.
The embodiment of the application provides an information processing method and device of cross-border commodities, wherein commodity similarity matching processing is carried out on the obtained commodity data of a plurality of cross-border e-commerce platforms, information aggregation processing of the commodity data is carried out according to the matched commodities of the same type, and commodity aggregation information of each commodity is obtained; and finally, carrying out information analysis processing on the commodity aggregation information of each commodity to obtain the price information of each commodity. By the mode, the merchant can directly acquire the commodity information of the cross-border platforms, the merchant can conveniently make an operation strategy for the commodity, and the operation cost of the merchant is reduced.
Drawings
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 disclosure.
FIG. 1 is a schematic diagram of a network architecture on which the present application is based;
fig. 2 is a schematic flowchart of an information processing method for cross-border merchandise according to an embodiment of the present disclosure;
fig. 3 is a first data flow diagram of an information method for cross-border merchandise according to an embodiment of the present disclosure;
fig. 4 is a second data flow diagram illustrating an information method for cross-border merchandise according to an embodiment of the disclosure;
fig. 5 is a schematic structural diagram of an information processing apparatus for cross-border merchandise according to an embodiment of the present application;
fig. 6 is a schematic hardware structure diagram of an electronic device provided in the present application.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. The drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the disclosed concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
In the technical scheme of the application, the collection, storage, use, processing, transmission, provision, disclosure and other processing of the related information all accord with the regulations of related laws and regulations, and do not violate the customs of the public order.
The cross-border e-commerce platform is an electronic platform for providing a service of cross-border e-commerce transaction, and a commodity source place and a commodity receiving place of commodities sold in the cross-border e-commerce platform generally belong to different countries. The advent of cross-border e-commerce platforms has provided consumers with more shopping options and merchants with better opportunities.
Types of cross-border e-commerce platforms include cross-border e-commerce platforms based on business-to-business (B2B) type and cross-border e-commerce platforms based on business-to-individual (B2C) type. Wherein, for the merchant, the merchant will play the role of commodity buyer on the cross-border e-commerce platform of type B2B and the merchant will play the role of commodity seller on the cross-border e-commerce platform of type B2C. In the prior art, a merchant needs to collect and analyze relevant information of commodities on a B2B cross-border e-commerce platform and a B2C cross-border e-commerce platform so as to make an operation strategy of the commodities.
However, acquiring and analyzing the commodity information in the cross-border e-commerce platforms with different intensities requires that the merchant has a certain information acquisition and analysis capability, and particularly, for the merchant, the merchant needs to switch back and forth among the cross-border e-commerce platforms with different types to perform a series of analysis operations such as comparing the source of goods, converting the price and comparing the price for different commodities, which greatly increases the labor cost and the time cost of the merchant during operation.
In view of the above problems, embodiments of the present application provide an information processing method and apparatus for cross-border commodities, where commodity similarity matching processing is performed on obtained commodity data of different types of cross-border e-commerce platforms to obtain commodity aggregation information of each type of commodity and each type of commodity in each type of cross-border e-commerce platform; and then, the information analysis and processing are carried out on the commodity aggregation information of the commodities of the same type to obtain the price information of the commodities of the same type, so that the merchant can directly obtain the price information of the same commodity under different types of cross-border e-commerce platforms, the merchant can conveniently make an operation strategy for the commodity of the merchant, and the operation cost of the merchant is reduced.
Fig. 1 is a schematic diagram of a network architecture based on the present application, and the network architecture shown in fig. 1 may specifically include a server 1 and a terminal 2.
The server 1 may be a server cluster arranged at the cloud, and by presetting operation logic in the server 1, the server acquires commodity data from each cross-border e-commerce platform, and performs a series of processing on the commodity data to obtain price information of the commodity.
The terminal 2 may specifically be a hardware device having a network communication function and an information display function, and includes but is not limited to a smart phone, a tablet computer, a desktop computer, an internet of things device, and the like.
The merchant can obtain communication interaction with the server 1 through the terminal 2, and obtain price information of each commodity obtained by operation of the server 1 from the server 1, and subsequently, the merchant can make a corresponding commodity operation decision according to the merchant condition and the price information.
The following describes in detail the information processing method and apparatus for cross-border merchandise provided in the present application with reference to specific embodiments. The following embodiments may be combined with each other and may not be described in detail in some embodiments for the same or similar concepts or processes.
It should be noted that the execution main body of the cross-border product information processing method provided in this embodiment is the aforementioned server, and fig. 2 is a flowchart of the cross-border product information processing method provided in this embodiment. As shown in fig. 2, the information processing method for cross-border merchandise may include the following steps:
And step 202, carrying out commodity similarity matching processing on each commodity according to each commodity data, and determining the same type of commodity in each cross-border e-commerce platform.
And step 204, performing information analysis processing on the commodity aggregation information of the commodities of the same type to obtain price information of the commodities of the same type.
In the embodiment of the present application, the plurality of cross-border e-commerce platforms should include the aforementioned two types of cross-border e-commerce platforms, that is, the plurality of cross-border e-commerce platforms include at least one cross-border e-commerce platform of type B2B and at least one cross-border e-commerce platform of type B2C.
The server screens out the same-style commodities and obtains price information of the same-style commodities under different cross-border e-commerce platforms by integrating and analyzing the commodity data in the B2C cross-border e-commerce platform and the B2B cross-border e-commerce platform, and the price information is pushed to a merchant, so that the merchant can directly utilize the commodity information to make operation decision, and the operation cost of the merchant is reduced.
The steps in the embodiments of the present application will be described in detail below with reference to the accompanying drawings:
in step 201, the server may obtain the commodity description information of each commodity of the cross-border e-commerce platforms by using technical means including crawlers and the like. The commodity description information is information for describing commodity relevant conditions of commodities on the cross-border e-commerce platform. Generally, the description information of the goods includes, but is not limited to, a description of the selling price of the goods, a description of pictures of the goods, a description of attributes of the goods, a description of the sales volume of the goods, a description of the industry class to which the goods belong, and a description of after-sale evaluation of the goods.
On the basis of step 201, in order to ensure that the subsequent processing such as analysis and aggregation can be performed on the commodity data of different cross-border e-commerce platforms, in an optional embodiment, the commodity data is data obtained after normalization processing is performed on the commodity source data by the server.
The server can pull commodity source data from each cross-border e-commerce platform; and carrying out normalization processing on the data format of each commodity source data to obtain each commodity data. The commodity data obtained after the normalization processing has the same data structure, the same data description language, the same commodity price calculation logic and the same currency format.
Specifically, for the 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 the data, the data structures and data description languages of different commodity source data will vary with different computer languages. In this regard, the server will perform structuring and translation processing on the data structures and data description languages of different commodity source data by using common data normalization processing technology, so that the commodity data obtained after processing has a uniform data structure and data description language.
Meanwhile, for the commodity source data from different cross-border e-commerce platforms, the phenomenon that the prices of commodities are calculated by adopting different price operation rules and price preferential policies easily occurs on the different cross-border e-commerce platforms, so that the prices of the commodities directly grabbed from the different cross-border e-commerce platforms are not the real prices of the commodities. Based on this, the server unifies the price operation logic of the commodity source data of different cross-border e-commerce platforms, so that the price of each commodity in each commodity data is obtained by adopting the unified price operation logic to perform operation, and the accuracy of subsequent analysis is improved.
And the different cross-border e-commerce platforms can use different currency types to describe the prices of the commodities by being limited by the difference of the operation regions and the operation countries of the different cross-border e-commerce platforms, and under the condition, the server can also unify the currency unit types of the commodities in the commodity source data to ensure that the currency types of each commodity in the commodity data are the same, so that the subsequent analysis and clustering are convenient.
That is, by performing normalization processing on 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 on each commodity data.
In order to further improve the authenticity of the data, after the server pulls or obtains the commodity source data, optionally, the server can also perform data cleaning processing on each commodity source data to obtain each cleaned commodity source data; and carrying out normalization processing on the data format of each cleaned commodity source data to obtain each commodity data.
Specifically, the data cleaning process performed on the commodity source data includes: rejecting the related data of the abnormal commodities and rejecting the abnormal data of the commodities. The abnormal commodities refer to failure commodities, non-selling commodities, no-beat commodities and private commodities in the cross-border e-commerce platform; and the abnormal data refers to data with abnormal data values, such as abnormal commodity price values. The identification of price value anomalies may be achieved by using a price coefficient of variation algorithm, which will not be described in great detail in this application.
Through the data cleaning processing, abnormal data in the commodity source data can be eliminated, and the real commodity source data can be reserved, so that the accuracy of price information of each commodity obtained through subsequent analysis is improved.
In step 202 and step 203, after the server obtains the commodity data of each type of cross-border e-commerce platform, the server performs matching processing and information aggregation processing on each commodity data in sequence to obtain information of the same commodity on different types of cross-border e-commerce platforms.
Specifically, the process of matching each commodity data by the server to obtain the same commodity can be realized based on similarity calculation. That is, for the commodity description information of any commodity in any cross-border e-commerce platform of any one of the B2B type and the B2C type, calculating the similarity between the commodity description information of the commodity and the commodity description information of each commodity in each cross-border e-commerce platform of the other type, and determining the same type of commodity in each cross-border e-commerce platform of the other type according to each similarity; and for any commodity belonging to the same type of commodity, carrying out aggregation processing on the commodity description information of the commodity on different cross-border e-commerce platforms to obtain commodity aggregation information.
Fig. 3 is a first data flow diagram of an information method of cross-border commodities provided in an embodiment of the present application, and referring to fig. 3, an example is given in which a current scene includes a B2B cross-border e-commerce platform a and a B2C cross-border e-commerce platform B, where the B2B cross-border e-commerce platform a includes commodity description information of a plurality of commodities, and the B2C cross-border e-commerce platform B also includes commodity description information of a plurality of commodities.
As shown in fig. 3, for the commodity a1 in the B2B cross-border e-commerce platform a, the server will calculate the similarity between each commodity in the B2C cross-border e-commerce platform B and the commodity a1, and it can be known through calculation that: the degree of similarity between commodity A1 and commodity B1 was 90%, the degree of similarity between commodity A1 and commodity B2 was 10%, and the degree of similarity between commodity A1 and commodity B3 was 5%. The similarity comparison revealed that the commercial product A1 and the commercial product B1 are of the same type.
Similar to the matching process for the commodity A1, the server also performs the matching process for each commodity in each type of cross-border e-commerce platform, such as the commodity A2 and the commodity A3 … …, so as to select the same commodity belonging to different cross-border e-commerce platforms (as shown in FIG. 3) for subsequent operation.
In the above process, based on the difference of the information in the product description information, the calculation for the above-mentioned similarity will be different:
in an alternative embodiment, the article description information includes at least one of the following information: the commodity picture information, the commodity attribute information and the commodity category information correspond to each other, and the similarity comparison among the commodities of the same type is determined according to the similarity among the commodity picture information, the commodity attribute information and the commodity category information.
Specifically, the server calculates the picture similarity between the commodity picture information of any commodity and the commodity picture information of each commodity in each cross-border e-commerce platform of another type; and/or calculating the attribute similarity between the commodity attribute information of any commodity and the commodity attribute information of each commodity in each cross-border e-commerce platform of another type; and/or calculating the category similarity between the commodity category information of any commodity and the commodity category information of each commodity in each cross-border e-commerce platform of another type; and determining the same type of commodity of any commodity in each cross-border e-commerce platform of the other type according to the similarity of each picture, and/or the similarity of each attribute, and/or the similarity of each category.
In the above embodiments, the image similarity between the product image information of each product is determined, so that it is determined whether the product is the same type of product based on the appearance shape of the product.
The commodity attribute information comprises objective attribute information of the commodity and subjective attribute information of the commodity; the objective attribute information generally includes the name, material, size, weight, and brand of the product, and the subjective attribute information generally includes the product quality, the product cost ratio, the product evaluation, and the product image label. By determining the attribute similarity of the commodity attribute information of each commodity, the similarity of each commodity on the commodity attribute level can be determined, and further, whether the commodity is the same type of commodity is determined based on the commodity attribute.
The commodity category information refers to a main field classification and a sub-classification under the main field classification of the commodity in the cross-border e-commerce platform, such as a suit of women under the clothing class, a steel product under the industrial class, a smart phone under the electronic digital class and the like. Generally, different cross-border e-commerce platforms adopt different commodity category classification logics to classify commodities. Based on the above, when determining the category similarity of each commodity on the commodity category information, the category information of each commodity can be mapped into the commodity category under the preset classification logic according to the category classification logic of the cross-border e-commerce platform to which each commodity belongs, and then the category similarity of each commodity adopting the same category classification logic after the logic mapping is determined, so that whether the commodities are the same-style commodities is determined based on the commodity categories.
After the confirmation of the commodities of the same type is completed, the server further analyzes and processes the commodity aggregation information of the commodities of the same type to obtain price information of the commodities of the same type. Wherein the price information includes average cost price information and average selling price information.
Specifically, the commodity description information further includes price description information of the commodity, and the server can determine average cost price information and average selling price information of the commodities of the same type according to the price description information of the commodities of the same type in different types of cross-border e-commerce platforms.
Fig. 4 is a second data flow diagram of an information method of a cross-border commodity according to an embodiment of the present application, and referring to fig. 4, it can be seen that the cross-border e-commerce platform includes B2B type cross-border e-commerce platforms "S11" and "S12", and B2C type cross-border e-commerce platforms "S21", "S22" and "S23".
For the merchant, the merchant will play the role of commodity purchaser on the B2B cross-border e-commerce platform, and the price description information of the commodity C on the cross-border e-commerce platform S11 and the cross-border e-commerce platform S12 will form the average cost price information of the commodity C; the merchant takes the role of a commodity seller on the B2C cross-border e-commerce platform, and the price description information of the 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 forms the average selling price information of the commodity C.
That is to say, the server may determine average cost price information of each of the same-style commodities according to price description information of each of the same-style commodities in each of the cross-border e-commerce platforms of the B2B type; and determining average selling price information of the commodities of the same type according to the price description information of the commodities of the same type in the trans-border e-commerce platforms of the type B2C. In an alternative embodiment, the average cost price information and the average selling price information may be obtained by a weighted average calculation, and the operation manner thereof will not be described too much.
On the basis of the above embodiments, in order to further facilitate the merchants to obtain the relevant information of different cross-border e-commerce platforms, the server performs standardized processing on the sales units of the same type of commodities according to the price description information of the same type of commodities in different types of cross-border e-commerce platforms, so as to obtain the processed price description information of the same type of commodities; and performing information analysis processing on the processed price description information of the commodities of the same type to obtain price information of the commodities of the same type.
In particular, for the B2B cross-border e-commerce platforms "S11" and "S12", the goods sold by the platforms are generally bulk goods, that is, the units used for selling the goods are often large, for example, for "flour", the units used for selling the goods are "ton"; for the B2C cross-border e-commerce platforms "S21", "S22" and "S23", the goods sold by the platforms are typically small goods, i.e., the units used for selling the goods are often small, for example, the units used for selling the same "flour" are "grams". Based on the situation, the server carries out standardized processing on the same type of commodities in sales units of different cross-border e-commerce platforms, so that price description is carried out on the same type of flour commodities according to the sales units of gram or ton, the accuracy of price information is further improved, and the products are convenient for merchants to use.
Certainly, based on the obtained average selling price information and average cost price information of the commodities of the same type, the server further calculates various operation indexes of the commodities, such as average profit information of the commodities of the same type according to the average selling price information and the average cost price information, and the operation indexes provide reference for making an operation strategy of a merchant.
In the embodiment, the commodity similarity matching processing is carried out on the obtained commodity data of different types of cross-border e-commerce platforms, so that the commodity aggregation information of the commodities of the same type and the same type in the cross-border e-commerce platforms of the different types is obtained; and then, the information analysis and processing are carried out on the commodity aggregation information of the commodities of the same type to obtain the price information of the commodities of the same type, so that the merchant can directly obtain the price information of the same commodity under different types of cross-border e-commerce platforms, the merchant can conveniently make an operation strategy for the commodity of the merchant, and the operation cost of the merchant is reduced.
In addition to the above embodiments, the execution subject of the information processing method for cross-border commodities provided in the present embodiment is the aforementioned server.
Fig. 5 is a schematic structural diagram of an information processing apparatus for cross-border merchandise according to an embodiment of the present application. As shown in fig. 5, the information processing apparatus of the cross-border product may include:
the data acquisition module 501 is configured to acquire commodity data of a plurality of cross-border e-commerce platforms, where the plurality of cross-border e-commerce platforms include at least one cross-border e-commerce platform of a B2B type and at least one cross-border e-commerce platform of a B2C type, and the commodity data includes commodity description information of each commodity;
the data aggregation module 502 is configured to perform commodity similarity matching processing on each commodity according to each commodity data, and determine a same-style commodity in each cross-border e-commerce platform; the system is also used for carrying out information aggregation processing based on the same type of commodities on each commodity data to obtain commodity aggregation information of each same type of commodity; the commodity aggregation information of each commodity of the same type comprises commodity description information of the commodity of the same type in the B2B type cross-border e-commerce platform and commodity description information of the commodity in the B2C type cross-border e-commerce platform;
and the data analysis module 503 is configured to perform information analysis processing on the commodity aggregation information of each of the commodities of the same type to obtain price information of each of the commodities of the same type.
Optionally, the data acquisition module 501 is specifically configured to: pulling commodity source data from each cross-border e-commerce platform; normalizing the data format of each commodity source data to obtain each commodity data; the commodity data obtained after the normalization processing has the same data structure, the same data description language, the same commodity price calculation logic and the same currency format.
Optionally, the data acquisition module 501 is specifically configured to: carrying out data cleaning processing on each commodity source data to obtain each cleaned commodity source data; and carrying out normalization processing on the data format of each cleaned commodity source data to obtain each commodity data.
Optionally, the data aggregation module 502 is specifically configured to: for the commodity description information of any commodity in any cross-border e-commerce platform of any one of the B2B type and the B2C type, calculating the similarity between the commodity description information of the commodity and the commodity description information of each commodity in each cross-border e-commerce platform of the other type, and determining the same type of commodity in each cross-border e-commerce platform of the other type according to the similarity;
the data aggregation module 502 is further specifically configured to aggregate, for any commodity belonging to the same type of commodity, commodity description information of the commodity on different cross-border e-commerce platforms to obtain commodity aggregation information.
Optionally, the commodity description information includes commodity picture information, and/or commodity attribute information, and/or commodity category information;
the data aggregation module 502 is specifically configured to: calculating the picture similarity between the commodity picture information of any commodity and the commodity picture information of each commodity in each cross-border e-commerce platform of another type; and/or calculating the attribute similarity between the commodity attribute information of any commodity and the commodity attribute information of each commodity in each cross-border e-commerce platform of another type; and/or calculating the category similarity between the commodity category information of any commodity and the commodity category information of each commodity in each cross-border e-commerce platform of another type; and determining the same type of commodity of any commodity in each cross-border e-commerce platform of the other type according to the similarity of each picture, and/or the similarity of each attribute, and/or the similarity of each category.
Optionally, the commodity description information further includes price description information of the commodity; the data analysis module 503 is specifically configured to: and determining average cost price information and average selling price information of the same type of commodities according to the price description information of the same type of commodities in different types of cross-border e-commerce platforms.
Optionally, the data analysis module 503 is specifically configured to: determining average cost price information of the commodities of the same type according to price description information of the commodities of the same type in the trans-border e-commerce platforms of the type B2B; and determining average selling price information of the commodities of the same type according to the price description information of the commodities of the same type in the trans-border e-commerce platforms of the type B2C.
Optionally, the data analysis module 503 is further configured to: according to the price description information of the same type of commodities in different types of cross-border e-commerce platforms, carrying out standardized processing on sales units of the same type of commodities to obtain the processed price description information of the same type of commodities; and performing information analysis processing on the processed price description information of each commodity of the same type to obtain price information of each commodity of the same type.
The embodiment of the application provides an information processing device for cross-border commodities, which is used for matching commodity similarity of obtained commodity data of different types of cross-border e-commerce platforms to obtain commodity aggregation information of commodities of the same type and commodities in the cross-border e-commerce platforms of different types; and then, the information analysis and processing are carried out on the commodity aggregation information of the commodities of the same type to obtain the price information of the commodities of the same type, so that the merchant can directly obtain the price information of the same commodity under the cross-border e-commerce platforms of different types, the merchant can conveniently make an operation strategy for the commodity of the merchant, and the operation cost of the merchant is reduced.
Fig. 6 is a schematic diagram of a hardware structure of an electronic device provided in the present application, and as shown in fig. 6, an embodiment of the present application provides an electronic device, a memory of the electronic device may be configured to store at least one program instruction, and a processor is configured to execute the at least one program instruction, so as to implement the technical solution of the above method embodiment. The implementation principle and technical effect are similar to those of the embodiments related to the method, and are not described herein again.
The embodiment of the application provides a chip. The chip comprises a processor for calling a computer program in a memory to execute the technical solution in the above embodiments. The principle and technical effects are similar to those of the related embodiments, and are not described herein again.
The embodiment of the present application provides a computer program product, which, when the computer program product runs on an electronic device, enables the electronic device to execute the technical solutions in the above embodiments. The principle and technical effects are similar to those of the related embodiments, and are not described herein again.
The embodiment of the present application provides a computer-readable storage medium, on which program instructions are stored, and when the program instructions are executed by an electronic device, the electronic device is enabled to execute the technical solutions of the above embodiments. The principle and technical effects are similar to those of the related embodiments, and are not described herein again.
The above embodiments are provided to explain the purpose, technical solutions and advantages of the present application in further detail, and it should be understood that the above embodiments are merely illustrative of the present application and are not intended to limit the scope of the present application, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present application should be included in the scope of the present application.
Claims (12)
1. An information processing method for cross-border commodities is characterized by comprising the following steps:
the method comprises the steps of obtaining commodity data of a plurality of cross-border e-commerce platforms, wherein the cross-border e-commerce platforms comprise at least one B2B type cross-border e-commerce platform and at least one B2C type cross-border e-commerce platform, and the commodity data comprise commodity description information of commodities;
performing commodity similarity matching processing on each commodity according to each commodity data, and determining the same type of commodity in each cross-border e-commerce platform;
performing information aggregation processing based on the same type of commodities on each commodity data to obtain commodity aggregation information of each same type of commodity; the commodity aggregation information of each identical commodity comprises commodity description information of the identical commodity in the cross-border e-commerce platform of the type B2B and commodity description information of the identical commodity in the cross-border e-commerce platform of the type B2C;
and carrying out information analysis processing on the commodity aggregation information of the commodities of the same type to obtain the price information of the commodities of the same type.
2. The information processing method according to claim 1, wherein the acquiring commodity data of a plurality of cross-border e-commerce platforms comprises:
pulling commodity source data from each cross-border e-commerce platform;
normalizing the data format of each commodity source data to obtain each commodity data; the commodity data obtained after the normalization processing has the same data structure, the same data description language, the same commodity price operation logic and the currency format.
3. The information processing method according to claim 2, wherein the normalizing the data format of the data of each commodity source to obtain the data of each commodity comprises:
carrying out data cleaning processing on each commodity source data to obtain each cleaned commodity source data;
and carrying out normalization processing on the data format of each cleaned commodity source data to obtain each commodity data.
4. The information processing method according to claim 1, wherein the determining the same type of commodity in each cross-border e-commerce platform by performing commodity similarity matching processing on each commodity according to each commodity data includes:
for the commodity description information of any commodity in any cross-border e-commerce platform of any one of the B2B type and the B2C type, calculating the similarity between the commodity description information of the commodity and the commodity description information of each commodity in each cross-border e-commerce platform of the other type, and determining the same type of commodity in each cross-border e-commerce platform of the other type according to the similarity;
the information aggregation processing based on the same-style commodities is performed on each commodity data to obtain the commodity aggregation information of each same-style commodity, and the information aggregation processing comprises the following steps:
and for any commodity belonging to the same type of commodity, carrying out aggregation processing on the commodity description information of the commodity on different cross-border e-commerce platforms to obtain commodity aggregation information.
5. The information processing method according to claim 4, wherein 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 any commodity and the commodity description information of each commodity in each cross-border e-commerce platform of another type, and determining the same type of commodity of any commodity in each cross-border e-commerce platform of another type according to each similarity, comprises:
calculating the picture similarity between the commodity picture information of any commodity and the commodity picture information of each commodity in each cross-border e-commerce platform of another type; and/or calculating the attribute similarity between the commodity attribute information of any commodity and the commodity attribute information of each commodity in each cross-border e-commerce platform of another type; and/or calculating the category similarity between the commodity category information of any commodity and the commodity category information of each commodity in each cross-border e-commerce platform of another type;
and determining the same type of commodity of any commodity in the cross-border e-commerce platform of the other type according to the picture similarity and/or the attribute similarity and/or the category similarity.
6. The information processing method according to claim 1, wherein the commodity description information further includes price description information of a commodity;
the information analysis processing is performed on the commodity aggregation information of each commodity to obtain the price information of each commodity of the same type, and the method comprises the following steps:
and determining average cost price information and average selling price information of the same type of commodities according to the price description information of the same type of commodities in different types of cross-border e-commerce platforms.
7. The information processing method according to claim 6, wherein the determining average cost price information and average selling price information of the commodities of the same type according to the price description information of the commodities of the same type in the cross-border e-commerce platforms of different types comprises:
determining average cost price information of the commodities of the same type according to price description information of the commodities of the same type in the trans-border e-commerce platforms of the type B2B;
and determining average selling price information of the commodities of the same type according to price description information of the commodities of the same type in the cross-border e-commerce platforms of the type B2C.
8. The information processing method according to claim 6, wherein the information analysis processing of the item aggregation information of the respective homogeneous items to obtain price information of the respective homogeneous items further comprises:
according to the price description information of the same type of commodities in different types of cross-border e-commerce platforms, carrying out standardized processing on sales units of the same type of commodities to obtain the processed price description information of the same type of commodities;
and carrying out information analysis processing on the processed price description information of each commodity of the same type to obtain the price information of each commodity of the same type.
9. An information processing apparatus for cross-border commodities, comprising:
the data acquisition module is used for acquiring commodity data of a plurality of cross-border e-commerce platforms, wherein the plurality of cross-border e-commerce platforms comprise 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 comprises commodity description information of each commodity;
the data aggregation module is used for carrying out commodity similarity matching processing on each commodity according to each commodity data and determining the same type of commodity in each cross-border e-commerce platform; the system is also used for carrying out information aggregation processing based on the same type of commodities on each commodity data to obtain commodity aggregation information of each same type of commodity; the commodity aggregation information of each identical commodity comprises commodity description information of the identical commodity in the cross-border e-commerce platform of the type B2B and commodity description information of the identical commodity in the cross-border e-commerce platform of the type B2C;
and the data analysis module is used for carrying out information analysis processing on the commodity aggregation information of the commodities of the same type to obtain the price information of the commodities of the same type.
10. An electronic device, comprising:
at least one processor; and
a memory;
the memory stores computer-executable instructions;
execution of the computer-executable instructions stored by the memory by the at least one processor causes the at least one processor to perform the method recited in claims 1-8.
11. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the method of claims 1-8.
12. A computer program product comprising computer instructions, characterized in that the computer instructions, when executed by a processor, implement the method according to claims 1-8.
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