CN113421106A

CN113421106A - Commodity data processing method and device and electronic equipment

Info

Publication number: CN113421106A
Application number: CN202011380852.XA
Authority: CN
Inventors: 潘学瑞; 万小勇; 梁治峰; 于佳; 王浩; 章志坚; 娄翠伶; 王彬; ��利明; 王南洋
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2020-11-30
Filing date: 2020-11-30
Publication date: 2021-09-21

Abstract

The embodiment of the invention provides a commodity data processing method, a commodity data processing device and electronic equipment, wherein the method comprises the steps of obtaining commodity description information of a seller user on a commodity to be sold, carrying out matching identification in an existing commodity database according to the commodity description information, and obtaining commodity information of a related commodity; generating and storing commodity understanding data of the commodities to be sold according to the commodity information and the commodity description information of the associated commodities; and according to the commodity understanding data, commodity publishing is carried out on the commodities to be sold. The embodiment of the invention can help the seller user to quickly and efficiently construct commodity understanding data under the condition of limited information input of the user, thereby being capable of quickly and conveniently releasing commodities.

Description

Commodity data processing method and device and electronic equipment

Technical Field

The application relates to a commodity data processing method and device and electronic equipment, and belongs to the technical field of computers.

Background

With the rapid development of the e-commerce industry, many individual users also participate in the e-commerce industry, and an e-commerce model between individuals, namely, a C2C (Customer to Customer) model is formed. In the C2C mode, a C-side vendor user may only need a computer or smartphone to complete a transaction with another C-side vendor user based on the basic services provided by the e-commerce platform.

However, in the existing C2C-model transaction, since the seller user at the C-end has limited energy and expertise, the input commodity information is also limited, it is difficult to fully display the commodity that the seller user wants to sell, the commodity is often released to the transaction platform for sale only by inputting simple commodity description information, the transaction platform cannot provide more services for the seller user, the buyer user cannot know more information about the commodity, and the transaction between the buyer and the seller is difficult to be facilitated.

Disclosure of Invention

The embodiment of the invention provides a commodity data processing method and device and electronic equipment, and aims to help a seller user to better publish a commodity.

In order to achieve the above object, an embodiment of the present invention provides a method for processing commodity data, including:

the method comprises the steps that commodity description information of a seller user on commodities to be sold is obtained, matching identification is carried out in an existing commodity database according to the commodity description information, and commodity information of related commodities is obtained;

generating and storing commodity understanding data of the commodity to be sold according to the commodity information of the associated commodity and the commodity description information;

and issuing the commodities to be sold according to the commodity understanding data.

An embodiment of the present invention further provides a device for processing commodity data, including:

the commodity identification module is used for acquiring commodity description information of a seller user on commodities to be sold, performing matching identification in an existing commodity database according to the commodity description information and acquiring commodity information of related commodities;

the commodity understanding data generation module is used for generating and storing commodity understanding data of the commodity to be sold according to the commodity information of the associated commodity and the commodity description information;

and the commodity publishing module is used for publishing the commodities to be sold according to the commodity understanding data.

The embodiment of the invention also provides a commodity data processing method, which comprises the following steps:

according to commodity description information of a seller user on commodities to be sold, commodity information of related commodities is obtained in an existing commodity database;

predicting commodity transaction quotations of the commodities to be sold according to the commodity information of the associated commodities and the commodity description information;

and according to the commodity description information of the commodity to be sold, the commodity information of the associated commodity and the commodity transaction market, carrying out data analysis processing related to the marketing of the commodity to be sold, and generating a commodity release strategy to the seller user.

the method comprises the steps of obtaining commodity description information of second-hand commodities provided by a seller user, carrying out matching identification in an existing commodity database according to the commodity description information, and obtaining commodity information of related commodities;

displaying commodity information of the associated commodity to the seller user, and guiding the seller user to input supplementary commodity description information related to the second-hand commodity;

and generating the release information of the second-hand commodity according to the commodity description information and the supplementary commodity description information for releasing.

An embodiment of the present invention further provides an electronic device, including:

a memory for storing a program;

and the processor is used for operating the program stored in the memory so as to execute the commodity data processing method.

The commodity data processing method, the commodity data processing device and the electronic equipment of the embodiment of the invention acquire the commodity information of the associated commodity by acquiring a small amount of commodity description information from a seller user and by virtue of the information advantages of the existing commodity database, and generates commodity understanding data of multiple dimensions of the commodity to be sold according to the associated commodity information and the commodity description information of the seller user, then, commodity publishing is carried out based on the commodity understanding data, so that the seller users can be helped to quickly and efficiently construct the commodity understanding data under the condition of limited information input of the users, thereby being capable of fast and convenient commodity publishing, and further, providing more additional services for the seller users based on the commodity understanding data, additional services such as sales strategy suggestions, advertisement push strategies, and commodity scoring can effectively facilitate commodity transactions between buyers and sellers.

The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.

Drawings

FIG. 1 is a schematic structural diagram of a merchandise data processing system according to an embodiment of the present invention;

FIG. 2 is a flowchart illustrating a method for processing merchandise data according to an embodiment of the present invention;

FIG. 3 is a schematic structural diagram of a commodity data processing apparatus according to an embodiment of the present invention;

FIG. 4 is a second schematic diagram of a merchandise data processing system according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

The embodiment of the invention provides a commodity data processing method, which is characterized in that matching identification of associated commodities is carried out in an existing commodity database through a small amount of commodity description information acquired from a seller user, so that the advantages of existing commodity data of an e-commerce platform are fully utilized, the user is helped to perfect commodity information of commodities to be sold, and the commodities are released as soon as possible. In addition, the commodity transaction market of the commodity to be sold is further subjected to predictive analysis based on the transaction data of the associated commodities, so that comprehensive commodity understanding data for the commodity to be sold is formed, the commodity understanding data can help a seller user to perform better commodity popularization and designate a proper sales strategy, and an e-commerce platform can also help an e-commerce platform to perform all-around grading on the commodity to be sold, so that the commodity transaction efficiency between the seller user and a buyer user is better promoted.

As shown in fig. 1, which is a schematic structural diagram of a system for processing commodity data according to an embodiment of the present invention, an e-commerce platform in the figure may provide a C2C service for online commodity transaction between a seller user and a buyer user, the seller user may publish its commodities based on the e-commerce platform, and the buyer user accesses the commodities published by the seller user based on the e-commerce platform and performs online transaction. In the embodiment of the invention, the E-commerce platform can provide basic transaction service of C2C and also provides service for helping seller users to understand commodities. The commodity understanding referred to herein mainly refers to data for constructing a comprehensive description of various attributes of a commodity, and may include: the basic information such as the type, price, production place, material, color and depreciation degree can also comprise supply and demand relation data, price change trend data and the like related to the commodity, commodity pushing and commodity sales strategy appointing can be effectively carried out through comprehensive commodity understanding data, and the basic information can also be used as an important basis for grading the commodity to be sold.

As shown in the figure, the seller user communicates with the e-commerce platform through an APP installed on the user terminal and providing services for the seller user, and sends the commodity description information to the e-commerce platform. The commodity description information can be text information and/or image information (videos or pictures), and can be transmitted to the e-commerce platform through a communication network after being input through the APP interactive interface. And the seller user interaction module on the e-commerce platform is used for interacting with a seller user, acquiring commodity description information input by the seller user on one hand, and guiding the user to input the commodity description information on the other hand. For example, the user may be prompted to input information content of the commodity to be sold, such as a brand name, a color, price information, and the like, and the user of the seller may be assisted in inputting image information, for example, the user may be effectively guided through a shooting template and a shooting guide sequence, so that the user may shoot a picture or a video that is clearer and can embody the characteristics of the commodity.

In the embodiment of the invention, when the seller user inputs information initially, only a small amount of text and/or image information can be input and provided for the seller user interaction module, then the associated commodity matching identification module carries out associated commodity matching identification based on the information, if the associated commodity is identified, the related information of the associated commodity can be used as the description information of the commodity to be sold, thereby saving a lot of complicated input of the seller user. The related goods can be the same or similar goods.

The commodity matching identification can be realized based on the existing commodity database of the e-commerce platform, and a large amount of commodity data can be accumulated through massive transactions between buyers and sellers by the e-commerce platform, and the commodity data can provide a certain data basis for subsequently issued commodities to be sold. In addition, some large e-commerce platforms may also be used as transaction platforms of B2C (Business to Customer) and B2B (Business to Business) in addition to the C2C transaction platform, which will have a larger commodity data resource, so that the e-commerce platform can utilize the advantages of the existing commodity data to provide sufficient matching identification of the associated commodities for the seller users. In addition, although the embodiment of the present invention is described by taking the C2C user as an example, the technical solution of the embodiment of the present invention is also applicable to the B2C or B2B vendor user, and these users can also utilize the advantages of the existing commodity data and the transaction analysis of the merchant platform to help them construct the commodity understanding data by using the technology provided by the embodiment of the present invention.

The above-mentioned seller user inputs commodity description information and the e-commerce platform performs commodity matching identification processing, which may be completed in a multi-round interactive manner. After the matching identification module generates a matching identification result, the similarity between the matching identification result and the commodity to be sold is evaluated, if the preset similarity threshold value is not reached, the seller user is guided by the seller user interaction module to supplement and input commodity description information, then matching identification is carried out again according to the supplement and input commodity description information and the previous commodity description information, and multiple rounds of interaction are carried out until the preset similarity threshold value is reached or the preset round is reached. In addition, each matching and identifying result can be fed back to the seller user through the seller user interaction module to confirm the same-type commodities, for example, whether the same-type commodities of the commodities to be sold exist in a plurality of candidate same-type/similar-type commodities is confirmed, and if the same-type commodities are confirmed by the seller user, the matching and identifying process can be terminated. Through the multi-round interactive commodity matching identification, the same-style commodities or similar-style commodities with the largest similarity can be found for the seller users to the greatest extent, so that the users are helped to acquire more commodity information, the trouble of inputting commodity description information by the seller users is reduced, and commodity data which cannot be provided by a plurality of seller users can be acquired.

In addition, the commodity description information input by the seller user can be picture information and/or character information, the commodity matching identification can be carried out, the picture information and the character information can be respectively matched and identified, then the character matching identification result and the image matching identification result are compared, the intersection of the character matching identification result and the image matching identification result is selected as the final matching identification result, and if the character matching identification result and the image matching identification result do not have the intersection, the party with high confidence coefficient is selected as the final matching identification result.

After the matching identification of the associated commodities is completed, the commodity transaction market of the commodities to be sold can be subjected to predictive analysis based on the transaction data of the associated commodities and in combination with the specific conditions of the commodities to be sold, so that a commodity sales strategy is formulated for a seller user to be referred to, and the seller user can fully know the possible sales conditions of the commodities to be sold. Since many of the products sold by the seller users are second-hand products, there may be some depreciation situations, and these information may be collected together when the product description information is collected to the seller users, for example, the depreciation degree of the product to be sold may be determined by images taken by the users, and the information of the depreciation degree of the product may be formed by information on the purchase time, the use time, whether there is damage or flaw, and the like provided by the seller users. The commodity transaction market prediction can generate supply and demand relation data and/or price change trend data according to the commodity transaction data of the associated commodities, then, according to the depreciation degree of the commodity to be sold and the supply and demand relation data and/or price change trend data, the commodity transaction market of the commodity to be sold is subjected to prediction analysis, and then, a prediction analysis result can be sent to a user for reference through a seller user interaction module.

The related commodity information obtained through the commodity matching identification processing of the related commodities, the commodity transaction quotation obtained through the prediction analysis, and the commodity description information provided by the seller user are related and stored in the commodity understanding database, and the related information constitutes commodity understanding data of the commodities to be sold. Further transaction services may be provided for sellers and buyers based on the commodity understanding data.

As shown in the figure, based on the commodity understanding data, the e-commerce platform can perform a commodity distribution process. The commodity release in the embodiment of the invention can comprise basic commodity information release, and can also comprise the formulation of a commodity sales strategy, strategy suggestions in the aspects of commodity advertisement and commodity push, and additional services in the aspect of grading commodities.

Specifically, based on the commodity understanding data, matching of the buyer user can be performed, for example, according to supply and demand relation data before the same-money commodity and/or similar-money commodity, the seller user is selected to be suitable for the buyer to perform commodity pushing or advertisement putting. For example, the commodity to be sold of the seller user is a second-hand notebook computer, and the notebook computer is mainly a product facing game enthusiasts according to matching of the same commodity, so that the commodity can be pushed to the buyer user consuming in the aspect of games in a targeted manner. In addition to the pushing of the commodities, the more comprehensive publishing and displaying of the commodity information can be performed based on the commodity understanding data, for example, more information on the commodity origin, performance, use instruction and the like can be provided on the commodity page. In addition, based on the transaction quotations of the associated commodities in the commodity understanding data, reasonable sales strategies, such as pricing strategies, distribution strategies and the like, can also be specified for the seller users.

In addition, based on the commodity understanding data of the commodity to be sold, the evaluation data of the commodity to be sold can be generated and displayed on the page of the commodity to be sold, so that a seller user and a buyer user have a comprehensive evaluation reference for the commodity to be sold, the commodity quality and the seller reputation can be managed by an e-commerce platform more favorably, and the transaction can be facilitated better. In particular, the ratings data may include ratings data for one or more dimensions of the commodity attributes, the supply-demand relationship data, the price attributes, and the seller attributes.

The commodity data processing method provided by the embodiment of the invention obtains the commodity information of the associated commodity by a small amount of commodity description information obtained from the seller user and by virtue of the information advantages of the existing commodity database, and generates commodity understanding data of multiple dimensions of the commodity to be sold according to the associated commodity information and the commodity description information of the seller user, then, commodity publishing is carried out based on the commodity understanding data, so that the seller users can be helped to quickly and efficiently construct the commodity understanding data under the condition of limited information input of the users, thereby being capable of fast and convenient commodity publishing, and further, providing more additional services for the seller users based on the commodity understanding data, additional services such as sales strategy suggestions, advertisement push strategies, and commodity scoring can effectively facilitate commodity transactions between buyers and sellers.

The technical solution of the present invention is further illustrated by some specific examples.

Example one

As shown in fig. 2, which is a flowchart illustrating a method for processing commodity data according to an embodiment of the present invention, the method may be applied to an e-commerce platform for providing e-commerce services, a seller user may publish his commodity based on the e-commerce platform, and a buyer user accesses the commodity published by the seller user based on the e-commerce platform and performs online transaction, and the method may include:

s101: and acquiring commodity description information of the seller user on the commodity to be sold, and performing matching identification in the existing commodity database according to the commodity description information to acquire the commodity information of the associated commodity. The related goods can be the same money or similar money goods. The commodity description information can be text information and/or image information (videos or pictures), and a seller user can input and send the commodity description information to the e-commerce platform through an interactive interface or a webpage interface of the APP.

In the embodiment of the invention, when the seller user inputs information initially, only a small amount of text and/or image information can be input and provided for the seller user interaction module, then the related commodity matching identification module carries out the commodity matching identification of the same type/similar type based on the information, and if the commodity of the same type/similar type is identified, the related information of the commodity of the same type/similar type can be used as the description information of the commodity to be sold, so that a lot of complicated input of the seller user is omitted. The same type of merchandise may be the same as the merchandise to be sold in terms of manufacturer, brand, model, etc., and similar type of merchandise may be different in terms of manufacturer, brand, model, etc., but the primary function and/or performance of the merchandise is substantially the same and may be a replacement for the merchandise to be sold. The commodity matching identification can be realized based on the existing commodity database of the e-commerce platform, and a large amount of commodity data can be accumulated through massive transactions between buyers and sellers by the e-commerce platform, and the commodity data can provide a certain data basis for subsequently issued commodities to be sold.

The above-mentioned seller user inputs commodity description information and the e-commerce platform performs commodity matching identification processing, which may be completed in a multi-round interactive manner. In step S101, after performing matching identification in the existing product database according to the product description information and obtaining a matching identification result, interacting with the seller user according to the matching identification result to obtain the supplementary information, and continuing to perform matching identification in the existing product database and obtain the matching identification result. Specifically, the seller user can be guided to supplement the input commodity description information according to the matching identification result, then matching identification is performed again according to the supplement input commodity description information and the commodity description information input before, and the seller user is guided to perform processing of the supplement input commodity description information repeatedly, so that multiple rounds of interaction are performed until the matching identification result and the commodity to be sold reach a preset similarity threshold or reach a preset processing round.

For example, a seller user only inputs a notebook computer with the brand XX in the first round, and after matching identification, dozens of computers with the brand may be identified, the seller user may be guided to input other features of the notebook computer, such as "whether the notebook computer is a touch screen", "screen size", and the like, in the second round, and the user may be guided to take a picture, so that the matching range is further narrowed based on the picture and the input information in the second round until the same type of commodities or similar type commodities with higher similarity are matched, and the information input by the seller user in each round may be determined according to the matching result. When a seller user inputs commodity description information each time, the e-commerce platform can effectively guide the information input operation of the seller user through technical means such as an information input template, a shooting template and a shooting guide program, so that commodity description information with higher quality is obtained, and a more accurate matching result can be obtained through a subsequent matching identification algorithm.

In addition, each matching recognition result may be fed back to the seller user to confirm the same-type product, for example, whether or not the same-type product of the product to be sold exists may be confirmed from a plurality of candidate same-type/similar-type products, and if the seller user confirms the same-type product, the above-described matching recognition processing may be terminated. Of course, the seller user may also select a similar item with a higher similarity as the final matching result, and actively terminate the matching identification process. Through the multi-round interactive commodity matching identification, the same-style commodities or similar-style commodities with the largest similarity can be found for the seller users to the greatest extent, so that the users are helped to acquire more commodity information, the trouble of inputting commodity description information by the seller users is reduced, and commodity data which cannot be provided by a plurality of seller users can be acquired.

In addition, as described above, the input form of the product description information may include the text information and the image information, and when performing matching recognition, the matching recognition may be performed in the existing product database according to the text information and the image information, so as to generate a text matching recognition result and an image matching recognition result, and then an intersection of the text matching recognition result and the image matching recognition result is selected as a final matching recognition result, and if there is no intersection between the text matching recognition result and the image matching recognition result, a party with a high degree of confidence is selected as the final matching recognition result.

S102: and generating and storing commodity understanding data of the commodities to be sold according to the commodity information and the commodity description information of the associated commodities. In the embodiment of the present invention, the commodity understanding data may be data describing attributes of various aspects of the commodity in a comprehensive manner, and include, for example: the basic information such as the type, price, production place, material, color and depreciation degree can also comprise supply and demand relation data, price change trend data and the like related to the commodity, commodity pushing and commodity sales strategy appointing can be effectively carried out through comprehensive commodity understanding data, and the basic information can also be used as an important basis for grading the commodity to be sold.

S103: and according to the commodity understanding data, commodity publishing is carried out on the commodities to be sold. The commodity release in the embodiment of the invention can comprise basic commodity information release, and can also comprise the formulation of a commodity sales strategy, strategy suggestions in the aspects of commodity advertisement and commodity push, and additional services in the aspect of grading commodities. Specifically, the commodity understanding data of the commodity to be sold of the seller user is stored in the commodity understanding database of the e-commerce platform, and the commodity understanding data can be further applied to the following aspects:

commodity pushing or advertisement putting: and matching the buyer users according to the commodity understanding data, and pushing the commodities to be sold to the matched buyer users. The seller user matching is to match user groups according to multiple dimensions such as functions of commodities to be sold, price intervals, design styles and the like, so as to find suitable buyer users. The user crowd can be divided based on multiple dimensions such as age, gender, occupation, region and the like, and the related information of the user crowd belongs to the existing information of the e-commerce platform. Accurate merchandise push and advertising have important value for promoting both buyers and sellers.

And (3) making a sales strategy: and generating a sales strategy suggestion according to the commodity understanding data, sending the sales strategy suggestion to the seller user, responding to the confirmation or modification of the sales strategy suggestion by the seller user, generating a sales strategy, and performing associated storage with the commodity to be sold. Based on the data advantages of the e-commerce platform, more comprehensive commodity understanding data, such as supply-demand relationship, price variation trend and the like, and sales market prediction of commodities to be sold and the like, can be obtained compared with a seller user, and based on the data, the e-commerce platform can specify better sales strategies, such as prices of the commodities to be sold, sales promotion means, commodity combination sales strategies and the like, for the seller user, so that the seller user is better helped to sell the commodities.

Commodity evaluation data: and generating evaluation data of the commodity to be sold according to the commodity understanding data, and displaying the evaluation data on a page of the commodity to be sold. The evaluation data of the commodity is comprehensive evaluation of the commodity to be sold, and specifically may include commodity understanding data, and evaluation data is performed from one or more dimensions of the commodity attribute, the supply-demand relationship data, the price attribute, and the seller attribute. The evaluation data of the commodities is beneficial to the management of commodity quality and seller credit of the E-commerce platform, and can also better promote the transaction.

Furthermore, the method may further include: predicting commodity transaction market conditions of commodities to be sold according to the commodity information and the commodity description information of the associated commodities; and storing the predicted commodity transaction market as a part of the commodity understanding data.

Specifically, after the same-style commodities and/or similar-style commodities are determined, the supply-demand relationship data and/or the price change trend data can be generated based on the transaction data of the same-style commodities and/or similar-style commodities stored by the e-commerce platform, and due to the similarity with the commodities to be sold, the data can be used as a data base for further analysis of the commodities to be sold. In the case where the commodity to be sold is a second-hand commodity, the commodity transaction situation of the commodity to be sold can be predicted by combining the supply-demand relationship data and/or the price change trend data with the depreciation degree of the commodity to be sold. The market forecasting method is mainly used for forecasting the possible transaction price, sales volume and other conditions of the commodities to be sold on the basis of the sales data of the associated commodities by combining the conditions of the commodities to be sold and the current market environment, and provides a certain reference for the seller users. For example, the commodity to be sold of the seller user is a second-hand mobile phone, the supply and demand relationship data and/or the price change trend data of the same-style new mobile phone and/or the second-hand mobile phone can be obtained through a commodity database existing in the e-commerce platform, then depreciation degree information of the commodity to be sold is formed based on the use time, the current state and the appearance condition of the second-hand mobile phone to be sold of the seller user, and based on the information, the transaction market situation of the second-hand mobile phone to be sold of the seller user is predicted, such as the probability of selling when the seller user is priced into a certain amount of money and the time of selling, and the information can provide reference for the seller user.

The processing procedure of the method for processing commodity data according to the embodiment of the present invention and the subsequent application processing executed based on the acquired commodity understanding data are described above. According to the embodiment of the invention, the commodity information of the associated commodity is acquired by acquiring a small amount of commodity description information from the seller user and by means of the information advantages of the existing commodity database, the commodity understanding data of multiple dimensions of the commodity to be sold is generated according to the associated commodity information and the commodity description information of the seller user, and then the commodity is published based on the commodity understanding data, so that the seller user can be helped to quickly and efficiently construct the commodity understanding data under the condition of limited information input of the user, and the rapid and convenient commodity publishing can be realized.

Example two

As shown in fig. 3, which is a schematic structural diagram of an apparatus for processing commodity data according to an embodiment of the present invention, the apparatus may be deployed on an e-commerce platform providing e-commerce services, a seller user may publish his commodity based on the e-commerce platform, and a buyer user accesses the commodity published by the seller user based on the e-commerce platform and performs online transaction, and the apparatus may include:

the commodity identification module 11 is configured to obtain commodity description information of a seller user on a commodity to be sold, perform matching identification in an existing commodity database according to the commodity description information, and obtain commodity information of a related commodity. The commodity description information can be text information and/or image information (videos or pictures), and a seller user can input and send the commodity description information to the e-commerce platform through an interactive interface or a webpage interface of the APP. In the embodiment of the invention, when the seller user inputs information initially, only a small amount of text and/or image information can be input and provided for the seller user interaction module, then the related commodity matching identification module carries out the commodity matching identification of the same type/similar type based on the information, and if the commodity of the same type/similar type is identified, the related information of the commodity of the same type/similar type can be used as the description information of the commodity to be sold, so that a lot of complicated input of the seller user is omitted. The same type of merchandise may be the same as the merchandise to be sold in terms of manufacturer, brand, model, etc., and similar type of merchandise may be different in terms of manufacturer, brand, model, etc., but the primary function and/or performance of the merchandise is substantially the same and may be a replacement for the merchandise to be sold. The commodity matching identification can be realized based on the existing commodity database of the e-commerce platform, and a large amount of commodity data can be accumulated through massive transactions between buyers and sellers by the e-commerce platform, and the commodity data can provide a certain data basis for subsequently issued commodities to be sold.

The above-mentioned seller user inputs commodity description information and the e-commerce platform performs commodity matching identification processing, which may be completed in a multi-round interactive manner. And after matching identification is carried out in the existing commodity database according to the description information and a matching identification result is obtained, interacting with a seller user according to the matching identification result to obtain the supplementary information, and continuing matching identification in the existing commodity database and obtaining the matching identification result. Specifically, the seller user can be guided to supplement the input commodity description information according to the matching identification result, then matching identification is performed again according to the supplement input commodity description information and the commodity description information input before, and the seller user is guided to perform processing of the supplement input commodity description information repeatedly, so that multiple rounds of interaction are performed until the matching identification result and the commodity to be sold reach a preset similarity threshold or reach a preset processing round.

In addition, each matching recognition result may be fed back to the seller user to confirm the same-type product, for example, whether or not the same-type product of the product to be sold exists may be confirmed from a plurality of candidate same-type/similar-type products, and if the seller user confirms the same-type product, the above-described matching recognition processing may be terminated. Of course, the seller user may also select a similar item with a higher similarity as the final matching result, and actively terminate the matching identification process.

And a commodity understanding data generating module 12, configured to generate and store commodity understanding data of the commodity to be sold according to the commodity information of the associated commodity and the commodity description information. In the embodiment of the present invention, the commodity understanding data may be data describing attributes of various aspects of the commodity in a comprehensive manner, and include, for example: the basic information such as the type, price, production place, material, color and depreciation degree can also comprise supply and demand relation data, price change trend data and the like related to the commodity, commodity pushing and commodity sales strategy appointing can be effectively carried out through comprehensive commodity understanding data, and the basic information can also be used as an important basis for grading the commodity to be sold.

And the commodity issuing module 13 is configured to issue the commodity to be sold according to the commodity understanding data. The commodity release in the embodiment of the invention can comprise basic commodity information release, and can also comprise the formulation of a commodity sales strategy, strategy suggestions in the aspects of commodity advertisement and commodity push, and additional services in the aspect of grading commodities.

Further, the processing device of the commodity data may further include: and the prediction analysis module is used for predicting the commodity transaction market quotation of the commodity to be sold according to the commodity information of the associated commodity and the commodity description information, and storing the predicted commodity transaction market quotation as a part of the commodity understanding data. The market forecasting method is mainly used for forecasting the possible transaction price, sales volume and other conditions of the commodities to be sold on the basis of the sales data of the associated commodities by combining the conditions of the commodities to be sold and the current market environment, and provides a certain reference for the seller users. Specifically, after the same-style commodities and/or similar-style commodities are determined, the supply-demand relationship data and/or the price change trend data can be generated based on the transaction data of the same-style commodities and/or similar-style commodities stored by the e-commerce platform, and due to the similarity with the commodities to be sold, the data can be used as a data base for further analysis of the commodities to be sold. When the commodity to be sold is a second-hand commodity, the supply-demand relationship data and/or the price change trend data can be combined with the depreciation degree of the commodity to be sold to perform predictive analysis on the commodity transaction market of the commodity to be sold, and the predictive analysis result can provide reference for a seller user.

The detailed description of the above processing procedure, the detailed description of the technical principle, and the detailed analysis of the technical effect are described in the foregoing embodiments, and are not repeated herein.

According to the commodity data processing device, the commodity information of the associated commodity is acquired through a small amount of commodity description information acquired from the seller user by means of the information advantages of the existing commodity database, the commodity understanding data of multiple dimensions of the commodity to be sold is generated according to the associated commodity information and the commodity description information of the seller user, and then commodity publishing is carried out based on the commodity understanding data, so that the seller user can be helped to quickly and efficiently construct the commodity understanding data under the condition of limited information input of the user, the commodity publishing can be carried out quickly and conveniently, in addition, more additional services can be provided for the seller user based on the commodity understanding data, such as sales strategy suggestions, advertisement push strategies, commodity grading and other additional services, and commodity transaction of both buyers and sellers can be effectively facilitated.

EXAMPLE III

An embodiment of the present invention further provides a method for processing commodity data, as shown in fig. 4, which is a second schematic structural diagram of a system for processing commodity data according to an embodiment of the present invention, the method may be applied to an e-commerce platform for providing e-commerce services, a seller user may publish a commodity based on the e-commerce platform, a buyer user accesses the commodity published by the seller user based on the e-commerce platform, and performs online transaction, and the method may include:

s201: and acquiring commodity information of the associated commodities in the existing commodity database according to the commodity description information of the seller user on the commodities to be sold. The related goods can be the same money or similar money goods. The commodity description information can be text information and/or image information (videos or pictures), and a seller user can input and send the commodity description information to the e-commerce platform through an interactive interface or a webpage interface of the APP. As shown in fig. 4, the associated product matching identification module performs matching identification processing in the existing product database to obtain product information of the associated product.

S202: and predicting the commodity transaction market for the commodity to be sold according to the commodity information of the associated commodity and the commodity description information. The market forecasting method is mainly used for forecasting possible transaction prices, sales volumes and other conditions of commodities to be sold on the basis of sales data of related commodities by combining the conditions of the commodities to be sold and the current market environment, and the market forecasting method provides a certain reference for seller users and can also be used as an important basis for subsequently formulating issuing strategies for the seller users. As shown in fig. 4, the commodity transaction market prediction module may count some supply and demand relationship data and/or price change trend data according to the transaction data of the associated commodities recorded in the existing commodity database, and may predict the future transaction market of the commodity to be sold based on the data in combination with the commodity description information of the commodity to be sold.

S203: and according to the commodity description information of the commodity to be sold, the commodity information of the associated commodity and the commodity transaction market, carrying out data analysis processing related to the marketing of the commodity to be sold, and generating a commodity release strategy to the seller user. As shown in fig. 4, the commodity release policy generation module provides a certain policy generation service for the user from the aspects of the commodity sale policy, the commodity push policy, and the commodity advertisement delivery policy, and feeds back the generated policy to the seller user, and if the seller user confirms the policies, the e-commerce platform may perform further commodity release based on the confirmed policies.

In the aspect of the sales strategy, the seller user can be helped to generate some dynamically updated sales strategies, for example, a preliminary price is set for the commodity to be sold, if the transaction is not completed after a preset time, a reminding task can be generated, and a reminder is sent to the seller user to adjust the selling price of the commodity. For another example, if the seller user considers that the reference price provided by the e-commerce platform is low currently, and the e-commerce platform finds that there is a possibility of price increase in the future according to market forecast of the goods, a sales strategy may be generated in which the price is increased to a set value or the goods are released at a certain interval.

In addition, in the distribution strategy generated by the e-commerce platform for the seller user, selling point description information of the to-be-sold goods can be further included, so that the seller user is helped to better find and highlight the selling point of the to-be-sold goods, for example, the to-be-sold goods are computers, and the computers have very good heat dissipation performance, so that when the distribution strategy is generated, some important description information aiming at the heat dissipation performance can be provided, and the description information can be derived from data of some existing goods. In the embodiment of the invention, by associating the commodity information of the commodity with the market forecast information, a reasonable issuing strategy can be made for the user, so that the seller user can be helped to quickly and effectively issue the commodity, and commodity transaction can be effectively promoted.

Example four

The embodiment of the invention also provides a method for processing commodity data, which can be applied to an e-commerce platform for providing second-hand commodity transaction, wherein a seller user can release the second-hand commodity based on the e-commerce platform, and a buyer user accesses the second-hand commodity released by the seller user based on the e-commerce platform and carries out online transaction, and the method can comprise the following steps: s301: and acquiring commodity description information of the second-hand commodity provided by the seller user, and performing matching identification in the existing commodity database according to the commodity description information to acquire commodity information of the associated commodity. The related commodities of the second-hand commodities are the same type or similar commodities, and the commodities can be brand-new commodities or second-hand commodities issued by other seller users.

S302: and displaying the commodity information of the associated commodity to the seller user, and guiding the seller user to input supplementary commodity description information related to the second-hand commodity. The seller user may specifically be guided to enter supplemental merchandise description information using the interaction through multiple rounds and matching of associated merchandise as described above. Wherein, as a second-hand commodity, the guiding of the seller user to input the supplementary commodity description information may include guiding of the seller user to input depreciation information of the second-hand commodity. The depreciation information is important information for selling the second-hand commodities, the depreciation information can comprise the use time, the current functional state, the appearance state and the like of a second-hand mobile phone to be sold by a seller user, the e-commerce platform can guide the seller user to input the depreciation information through a dialog box, and the seller user can also enable the e-commerce platform to perform analysis processing in a photo uploading mode to determine the depreciation information in the aspects of appearance and the like.

S303: and generating the release information of the second-hand commodity according to the commodity description information and the supplementary commodity description information for releasing. Similar to the previous embodiment, the second-hand commodity release may include basic commodity information release, and may further include the formulation of commodity sales strategy, strategy suggestion in terms of commodity advertisement and commodity push, and additional service in terms of scoring for commodities.

In addition, the release information of the second-hand commodity can include a sale price, and the determination of the sale price is very important for the transaction of the second-hand commodity, and can directly relate to whether the commodity can be successfully traded or not and whether the seller user obtains a reasonable value or not. Therefore, in the embodiment of the present invention, the method may further include: acquiring commodity transaction market information of the associated commodities; generating a reference price of the second-hand commodity according to the commodity transaction market information and the depreciation information, and providing the reference price for the seller user; and obtaining the selling price determined by the seller user according to the reference price, and including the selling price in the publishing information for publishing.

In addition, the e-commerce platform can also provide information of commodity price fluctuation for the seller users of the second-hand commodities and provide market conditions of the second-hand commodities to be sold, so that the seller users are reminded to adjust price setting according to market conditions.

In the aspect of the generation of the release information, since the seller users of the second-hand commodities are generally informal merchants, the design aspect of the release information is somewhat deficient. The e-commerce platform can provide contents such as intelligently generated second-hand commodity titles, commodity introduction information and the like for the seller user when the release strategy is generated, so that the seller user is helped to better introduce the characteristics of the second-hand commodities to be sold. In the process of generating the release information, Natural Language Processing (NLP) technology can be used to intelligently generate the release information of the commodity to be sold according to the commodity description information provided by the user and the information of the associated commodity. In addition, the commodity description information provided by the seller user can be in the form of pictures, and the e-commerce platform can extract information in the pictures based on an image recognition technology so as to form release information.

According to the embodiment of the invention, more accurate pricing strategies are provided for the seller users by comprehensively associating the commodity transaction market information of the commodities and the depreciation information of the second-hand commodities, so that the seller users are helped to sell the second-hand commodities issued by the seller users at a reasonable price as soon as possible.

EXAMPLE five

The foregoing embodiment describes a flow process of a method for processing commodity data and a corresponding device structure, where the functions of the method and the device can be implemented by an electronic device, as shown in fig. 5, which is a schematic structural diagram of the electronic device according to an embodiment of the present invention, and specifically includes: a memory 110 and a processor 120.

And a memory 110 for storing a program.

In addition to the programs described above, the memory 110 may also be configured to store other various data to support operations on the electronic device. Examples of such data include instructions for any application or method operating on the electronic device, contact data, phonebook data, messages, pictures, videos, and so forth.

The memory 110 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The processor 120, coupled to the memory 110, is used for executing the program in the memory 110 to perform the operation steps of the processing method of the merchandise data described in the foregoing embodiments.

Further, the processor 120 may also include various modules described in the foregoing embodiments to perform the processing of the commodity data, and the memory 110 may be used, for example, to store data required by the modules to perform operations and/or output data.

Further, as shown, the electronic device may further include: communication components 130, power components 140, audio components 150, display 160, and other components. Only some of the components are schematically shown in the figure and it is not meant that the electronic device comprises only the components shown in the figure.

The communication component 130 is configured to facilitate wired or wireless communication between the electronic device and other devices. The electronic device may access a wireless network based on a communication standard, such as WiFi, a mobile communication network, such as 2G, 3G, 4G/LTE, 5G, or a combination thereof. In an exemplary embodiment, the communication component 130 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 130 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

The power supply component 140 provides power to the various components of the electronic device. The power components 140 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for an electronic device.

The audio component 150 is configured to output and/or input audio signals. For example, the audio component 150 includes a Microphone (MIC) configured to receive external audio signals when the electronic device is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 110 or transmitted via the communication component 130. In some embodiments, audio assembly 150 also includes a speaker for outputting audio signals.

The display 160 includes a screen, which may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.

Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The aforementioned program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A commodity data processing method comprises the following steps:

2. The method of claim 1, further comprising:

and storing the predicted commodity transaction market as a part of the commodity understanding data.

3. The method of claim 1, wherein the commodity issuing the commodity for sale according to the commodity understanding data comprises:

and matching the buyer users according to the commodity understanding data, and pushing the commodities to be sold or putting advertisements related to the commodities to be sold to the matched buyer users.

4. The method of claim 1, wherein the commodity issuing the commodity for sale according to the commodity understanding data comprises:

generating a sales strategy suggestion according to the commodity understanding data, and sending the sales strategy suggestion to the seller user;

and generating a sales strategy in response to confirmation or modification of the sales strategy proposal by the seller user, and storing the sales strategy in association with the commodity to be sold.

5. The method of claim 1, wherein the commodity issuing the commodity for sale according to the commodity understanding data comprises:

and generating evaluation data of the commodity to be sold according to the commodity understanding data, and displaying the evaluation data on a page of the commodity to be sold.

6. The method of claim 1, wherein the step of obtaining commodity description information of a seller user on a commodity to be sold, and the step of performing matching identification in an existing commodity database according to the commodity description information comprises the steps of:

according to the commodity description information input by the seller user, carrying out matching identification in the existing commodity database to obtain a matching identification result of the commodity information of the associated commodity;

and interacting with a seller user according to the matching identification result to acquire supplementary information, and continuing matching identification in the existing commodity database to acquire a matching identification result.

7. The method of claim 6, wherein interacting with a seller user to obtain supplemental information based on the match identification result, and continuing match identification and obtaining match identification results in the existing merchandise database comprises:

and guiding the seller user to supplement the input commodity description information according to the matching identification result, then performing matching identification again according to the supplement input commodity description information and the commodity description information input before, and repeatedly executing the processing of guiding the seller user to supplement the input commodity description information until the matching identification result and the commodity to be sold reach a preset similarity threshold or reach a preset processing turn.

8. The method of claim 6, further comprising: and sending the obtained matching identification result to the seller user for confirmation, and terminating the matching identification processing if the seller user confirms that the matching identification result contains the same type of commodity as the commodity to be sold.

9. The method of claim 1, wherein the commodity description information comprises text information and image information, and the acquiring of the commodity description information of the commodity to be sold by the seller user comprises performing matching identification in an existing commodity database according to the description information:

matching and identifying are respectively carried out in an existing commodity database according to the character information and the picture information, and a character matching and identifying result and an image matching and identifying result are generated;

and selecting the intersection of the character matching recognition result and the image matching recognition result as a final matching recognition result, and if the character matching recognition result and the image matching recognition result do not have the intersection, selecting the party with high confidence as the final matching recognition result.

10. The method of claim 2, wherein the item description information comprises: the predicting of the commodity transaction market for the commodity to be sold according to the commodity information of the associated commodity and the commodity description information comprises the following steps:

generating supply and demand relation data and/or price change trend data according to the commodity information of the associated commodities;

and predicting the commodity transaction market for the commodity to be sold according to the depreciation degree of the commodity to be sold and the supply-demand relationship data and/or the price change trend data.

11. The method of claim 5, wherein the evaluation data comprises: evaluation data for one or more dimensions of the commodity attributes, the supply-demand relationship data, the price attributes, and the seller attributes.

12. An apparatus for processing merchandise data, comprising:

13. The apparatus of claim 12, further comprising:

and the prediction analysis module is used for predicting the commodity transaction market quotation of the commodity to be sold according to the commodity information of the associated commodity and the commodity description information, and storing the predicted commodity transaction market quotation as a part of the commodity understanding data.

14. The apparatus of claim 12, wherein the obtaining of the description information of the seller user about the goods to be sold, and the performing of the matching identification in the existing goods database according to the description information comprises:

according to the commodity description information input by the seller user, matching identification is carried out in the existing commodity database, and a matching identification result of the associated commodity is obtained;

15. A commodity data processing method comprises the following steps:

16. The method of claim 15, wherein the merchandise distribution policy comprises: one or more of a commodity sales strategy, a commodity pushing strategy and a commodity advertisement putting strategy.

17. A commodity data processing method comprises the following steps:

18. The method of claim 17, wherein directing the seller user to enter supplemental merchandise description information related to the second-hand merchandise comprises: and guiding the seller user to input depreciation information of the second-hand commodity.

19. The method of claim 18, further comprising:

acquiring commodity transaction market information of the associated commodities;

generating a reference price of the second-hand commodity according to the commodity transaction market information and the depreciation information, and providing the reference price for the seller user;

and obtaining the selling price determined by the seller user according to the reference price, and including the selling price in the publishing information for publishing.

20. An electronic device, comprising:

a memory for storing a program;

a processor for executing the program stored in the memory to execute the processing method of the commodity data according to any one of claims 1 to 9 and 15 to 19.