CN114493748A - E-commerce marketing system and method based on Internet of things - Google Patents
E-commerce marketing system and method based on Internet of things Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
- G06Q30/0643—Graphical representation of items or shoppers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9538—Presentation of query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
Abstract
The invention discloses an e-commerce marketing system based on the Internet of things, which comprises: the E-commerce service client is in interactive communication connection with the marketing recommendation service unit and the background transaction database respectively; the E-commerce service client comprises a commodity retrieval module and a commodity display unit, wherein the commodity retrieval module is used for inputting retrieval information according to shopping requirements by a user; and the commodity display unit accesses the background transaction database to acquire the historical transaction data and the current browsing information of the user and analyzes the historical transaction data and the current browsing information to realize commodity recommendation display. The invention realizes the matching of commodity recommendation with supply and demand information browsed by a customer and historical transaction information, takes the customer demand as a basic starting point, avoids blindness and disordered invalid popularization, realizes the quick butt joint of product supply and the customer demand, ensures that the customer enjoys good-quality shopping experience, and improves the rate of return.
Description
Technical Field
The invention relates to the technical field of marketing systems, in particular to an e-commerce marketing system and method based on the Internet of things.
Background
Marketing, which refers to the process of enterprises discovering or exploring the needs of consumers to let the consumers know about the products and then buy the products, is an activity, process and system that brings economic value to customers, clients, partners and the whole society in creating, communicating, spreading and exchanging products. The method mainly refers to a process of developing operation and sales behaviors aiming at markets at the same time in marketing, namely a process of realizing conversion of operation and sales.
For example, the application publication number CN110264233A entitled a marketing system and method of the invention is a chinese patent application, the marketing system specifically includes a traffic channel end, an advertisement delivery engine, a delivery plan cache pool, and an advertisement management end; a traffic channel for presenting advertising information to consumers; the advertisement delivery engine is used for displaying an interface of advertisement information data to the outside, analyzing the user behavior of the request data by adopting a collaborative filtering algorithm, extracting data meeting conditions from a delivery plan cache pool according to different user behaviors, and feeding the data back to a flow channel; the delivery plan cache pool stores advertisement data and offline analysis data, and connects the user behavior of the foreground with the advertisement data of the background; the advertisement management module is used for inputting the information of an advertiser and issuing the advertisement information and an advertisement putting plan under the advertiser; the flow channel and the advertisement delivery engine are connected to an offline data collection module, the offline data collection module is connected to a data storage module, and the data storage module is further connected to the advertisement delivery engine and the advertisement management module.
Like the same as above-mentioned application, current marketing system is when carrying out commodity marketing recommendation, mostly recommends commodity according to platform sales conditions or activity condition, mostly docks for the blindness, leads to the commodity of recommending to mix and invalid, can't realize reasonable effectual popularization as required.
Disclosure of Invention
The invention aims to provide an e-commerce marketing system and method based on the Internet of things, so as to overcome the defects in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme: an e-commerce marketing system based on the Internet of things comprises: the system comprises an e-commerce service client, a marketing recommendation service unit and a background transaction database, wherein the e-commerce service client is in interactive communication connection with the marketing recommendation service unit and the background transaction database respectively; the E-commerce service client comprises a commodity retrieval module and a commodity display unit, wherein the commodity retrieval module is used for inputting retrieval information according to shopping requirements by a user; the commodity display unit accesses a background transaction database to obtain historical transaction data and current browsing information of a user, and analyzes the historical transaction data and the current browsing information to realize commodity recommendation display; the marketing recommendation service unit retrieves and acquires commodity information based on retrieval information input by a user and feeds the commodity information back to the commodity retrieval module for display; the background transaction database is used for storing the transaction information of the user.
As a further description of the above technical solution: the E-commerce service client further comprises a commodity transaction unit, the commodity transaction unit is used for carrying out transaction payment after a user selects commodities from the commodity retrieval module and the commodity display unit, and the commodity transaction unit further transmits user transaction information to the background transaction database for storage.
As a further description of the above technical solution: the commodity display unit comprises an information extraction module, a characteristic analysis module and an intelligent recommendation display module, wherein the information extraction module acquires current browsing information and historical shopping information of a user, the characteristic analysis module extracts characteristic attributes of the acquired browsing information and historical shopping information, the intelligent recommendation display module analyzes user requirements based on the extracted characteristic attributes to realize commodity recommendation display, namely, the information extraction module is electrically connected with the characteristic analysis module, namely, the information extraction module extracts the current browsing information and the historical shopping information of the user and then transmits the extracted current browsing information and the extracted historical shopping information to the characteristic analysis module, the characteristic analysis module extracts the characteristic attributes of the acquired browsing information and the historical shopping information to acquire commodity attribute information, wherein the characteristic attributes of the browsing information and the historical shopping information are the commodity attribute information, specifically, commodity category attributes, commodity price attributes and the like are obtained, commodity attribute information is transmitted to the intelligent recommendation display module through the characteristic analysis module, and finally the intelligent recommendation display module analyzes user requirements based on the extracted characteristic attributes to achieve commodity recommendation display. .
As a further description of the above technical solution: the marketing recommendation service unit comprises an information calling module and a retrieval extraction module, wherein the information calling module calls retrieval information input by a user, and the retrieval extraction module retrieves and acquires commodity information based on the called retrieval information and feeds the commodity information back to the commodity retrieval module.
As a further description of the above technical solution: the background transaction database comprises a retrieval analysis module, a data storage unit and a database, the retrieval analysis module carries out retrieval analysis on the basis of user transaction information uploaded by the commodity transaction unit, and the data storage unit stores the uploaded user transaction information in the database on the basis of a retrieval analysis result.
As a further description of the above technical solution: the data storage unit comprises a data updating module and a creating module, when the retrieval analysis module retrieves and analyzes the uploaded user transaction information and has no history information, the creating module automatically creates a folder to store the user transaction information, and when the retrieval analysis module retrieves and analyzes the uploaded user transaction information and retrieves the history information, the data updating module stores and updates the current user transaction information into the history information.
As a further description of the above technical solution: the data storage unit further comprises an updating marking module and an attribute marking module, the updating marking module is used for marking the updating state of the user transaction history information, and the attribute marking module is used for extracting and marking the characteristic attribute of the updated user transaction history information.
As a further description of the above technical solution: the information extraction module also automatically extracts the user transaction history information updating state mark and the characteristic attribute mark, and the characteristic analysis unit analyzes whether to perform characteristic analysis or not based on the updating state mark and the characteristic attribute mark of the user so as to determine whether to update the recommended and displayed content of the commodity in the commodity display unit or not.
An e-commerce marketing method based on the Internet of things is based on the e-commerce marketing system based on the Internet of things and comprises the following steps:
s1: a user inputs retrieval information to the commodity retrieval module according to shopping requirements, and commodity information is retrieved and obtained through the marketing recommendation service unit based on the retrieval information input by the user and fed back to the commodity retrieval module for display;
s2: the commodity display unit accesses a background transaction database to obtain historical transaction data and current browsing information of a user, and performs characteristic analysis and extraction to realize commodity recommendation display;
s3: after selecting commodities from the commodity retrieval module and the commodity display unit, the user carries out transaction payment through the commodity transaction unit, and transmits user transaction information to the background transaction database for storage through the commodity transaction unit;
s4: the background transaction database updates the state mark and the characteristic attribute mark when storing the user transaction information, and the commodity display unit analyzes whether to update the recommended commodity display content in the commodity display unit or not based on the updated state mark and the characteristic attribute mark of the user.
As a further description of the above technical solution: in step S4, the step of analyzing, by the product display unit, whether to update the recommended content of the product displayed in the product display unit based on the update status flag and the characteristic attribute flag of the user specifically includes the following steps:
s4.1: automatically extracting a user transaction history information updating state mark and a characteristic attribute mark through an information extraction module;
s4.2: analyzing whether to perform characteristic analysis or not by a characteristic analysis unit based on the update state flag and the characteristic attribute flag of the user;
s4.3: when the update state mark does not appear or the update state mark appears but the characteristic attribute mark does not appear, the characteristic analysis unit does not perform characteristic analysis and directly calls the last commodity recommendation display information to perform update display;
s4.4: when the updating state mark and the characteristic attribute mark appear, the characteristic analysis unit extracts the characteristic attribute again of the collected browsing information and the collected historical shopping information, and the intelligent recommendation display module analyzes the user requirement based on the extracted characteristic attribute to realize the commodity recommendation display.
The invention provides an e-commerce marketing system and method based on the Internet of things. The method has the following beneficial effects:
the E-commerce marketing system and the E-commerce marketing method based on the Internet of things acquire historical transaction data and current browsing information of a user by accessing a background transaction database, realize matching of commodity recommendation with browsing supply and demand information and historical transaction information of a customer, take customer requirements as a basic starting point, avoid blindness and disordered invalid promotion, realize rapid butt joint of product supply and customer requirements, enable the customer to enjoy good-quality shopping experience, improve return rate, simultaneously, when the transaction data of the customer is stored, update state marks and characteristic attribute marks are carried out, whether the commodity recommendation and display content in a commodity display unit is updated or not is analyzed through the commodity display unit based on the update state marks and the characteristic attribute marks of the user, and the condition that the data analysis is repeatedly invalid for multiple times when the user visits and checks each time to realize commodity recommendation and display is avoided, and the system response efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is an overall schematic diagram of an e-commerce marketing system based on the internet of things according to the present invention;
FIG. 2 is a schematic view of a merchandise display unit according to the present invention;
FIG. 3 is a schematic diagram of a marketing recommendation service unit in accordance with the present invention;
FIG. 4 is a diagram of a background transaction database according to the present invention;
FIG. 5 is a schematic diagram of a data storage unit according to the present invention;
fig. 6 is a flowchart of an e-commerce marketing method based on the internet of things according to the present invention;
fig. 7 is a flowchart illustrating a method for e-commerce marketing based on the internet of things according to the present invention, wherein whether to update recommended contents displayed on a commodity in a commodity display unit is analyzed in step S4.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-7, an e-commerce marketing system based on the internet of things includes: the E-commerce service client is in interactive communication connection with the marketing recommendation service unit and the background transaction database respectively; the E-commerce service client comprises a commodity retrieval module and a commodity display unit, wherein the commodity retrieval module is used for inputting retrieval information according to shopping requirements by a user; the commodity display unit accesses the background transaction database to obtain historical transaction data and current browsing information of the user, and analyzes the historical transaction data and the current browsing information to realize commodity recommendation display; the marketing recommendation service unit retrieves and acquires commodity information based on retrieval information input by a user and feeds the commodity information back to the commodity retrieval module for display; the background transaction database is used for storing the transaction information of the user.
The E-commerce marketing system based on the Internet of things accesses the background transaction database through the commodity display unit to obtain historical transaction data and current browsing information of a user, realizes matching of commodity recommendation with supply and demand information and historical transaction information browsed by a customer based on the historical transaction data and the current browsing information of the user, takes customer requirements as a basic starting point, avoids blindness and disordered invalid popularization, realizes quick butt joint of product supply and the customer requirements, enables the customer to enjoy high-quality shopping experience, and improves the return rate.
The E-commerce service client further comprises a commodity transaction unit, the commodity transaction unit is used for carrying out transaction payment after a user selects commodities from the commodity retrieval module and the commodity display unit, and the commodity transaction unit further transmits user transaction information to the background transaction database for storage.
The commodity display unit comprises an information extraction module, a characteristic analysis module and an intelligent recommendation display module, wherein the information extraction module acquires current browsing information and historical shopping information of a user, the characteristic analysis module extracts characteristic attributes of the acquired browsing information and the historical shopping information, and the intelligent recommendation display module analyzes user requirements based on the extracted characteristic attributes to realize commodity recommendation display.
Specifically, the information extraction module is electrically connected with the characteristic analysis module, namely, current browsing information and historical shopping information of a user are extracted through the information extraction module, then the extracted current browsing information and historical shopping information are transmitted to the characteristic analysis module, the characteristic analysis module extracts characteristic attributes of the collected browsing information and historical shopping information to obtain commodity attribute information, wherein the characteristic attributes of the browsing information and the historical shopping information are commodity attribute information, specifically commodity category attributes, commodity price attributes and the like, the commodity attribute information is transmitted to the intelligent recommendation display module through the characteristic analysis module, and finally the intelligent recommendation display module analyzes user requirements based on the extracted characteristic attributes to realize commodity recommendation display.
The marketing recommendation service unit comprises an information calling module and a retrieval extraction module, wherein the information calling module calls retrieval information input by a user, and the retrieval extraction module retrieves and acquires commodity information based on the called retrieval information and feeds the commodity information back to the commodity retrieval module. The background transaction database comprises a retrieval analysis module, a data storage unit and a database, wherein the retrieval analysis module carries out retrieval analysis on the basis of the user transaction information uploaded by the commodity transaction unit, and the data storage unit stores the uploaded user transaction information in the database on the basis of the retrieval analysis result.
The data storage unit comprises a data updating module and a creating module, when the retrieval analysis module retrieves and analyzes the uploaded user transaction information and does not have historical information, the creating module automatically creates a folder to store the user transaction information, and when the retrieval analysis module retrieves and analyzes the uploaded user transaction information and retrieves the historical information, the data updating module stores and updates the current user transaction information into the historical information. The data storage unit also comprises an updating marking module and an attribute marking module, wherein the updating marking module is used for marking the updating state of the user transaction history information, and the attribute marking module is used for extracting and marking the characteristic attribute of the updated user transaction history information. When new transaction information appears, updating the state mark, extracting the characteristic attribute of the new transaction information through the attribute marking module, when the new characteristic attribute appears, automatically extracting the user transaction history information updating state mark and the characteristic attribute mark, and analyzing whether to perform characteristic analysis or not by the characteristic analysis unit based on the updating state mark and the characteristic attribute mark of the user so as to determine whether to update the recommended and displayed content of the commodity in the commodity display unit. Specifically, when the update state mark does not appear or the update state mark appears but the feature attribute mark does not appear, the feature analysis unit does not perform feature analysis, directly calls the last-time commodity recommendation display information to perform update display, when the update state mark appears and the feature attribute mark appears, the feature analysis unit performs feature attribute extraction again on the collected browsing information and historical shopping information, and the intelligent recommendation display module analyzes the user requirements based on the extracted feature attributes to realize commodity recommendation display.
The commodity display unit is used for analyzing whether the recommended commodity display content in the commodity display unit is updated or not based on the updated state mark and the characteristic attribute mark of the user, so that repeated and invalid data analysis is avoided when the user accesses and checks every time to realize the recommended commodity display, and the response efficiency of the system is improved.
An e-commerce marketing method based on the Internet of things is based on the e-commerce marketing system based on the Internet of things and comprises the following steps: s1: a user inputs retrieval information to the commodity retrieval module according to shopping requirements, and commodity information is retrieved and obtained through the marketing recommendation service unit based on the retrieval information input by the user and fed back to the commodity retrieval module for display; s2: the commodity display unit accesses a background transaction database to obtain historical transaction data and current browsing information of a user, and performs characteristic analysis and extraction to realize commodity recommendation display; s3: after selecting commodities from the commodity retrieval module and the commodity display unit, the user carries out transaction payment through the commodity transaction unit, and transmits user transaction information to the background transaction database for storage through the commodity transaction unit; s4: the background transaction database updates the state mark and the characteristic attribute mark when storing the user transaction information, and the commodity display unit analyzes whether to update the recommended commodity display content in the commodity display unit or not based on the updated state mark and the characteristic attribute mark of the user.
The step S4 of analyzing, by the product display unit, whether to update the recommended content displayed on the product in the product display unit based on the update status flag and the characteristic attribute flag of the user specifically includes the following steps: s4.1: automatically extracting a user transaction history information updating state mark and a characteristic attribute mark through an information extraction module; s4.2: analyzing whether to perform characteristic analysis or not by a characteristic analysis unit based on the update state flag and the characteristic attribute flag of the user; s4.3: when the update state mark does not appear or the update state mark appears but the characteristic attribute mark does not appear, the characteristic analysis unit does not perform characteristic analysis and directly calls the last commodity recommendation display information to perform update display; s4.4: when the updating state mark and the characteristic attribute mark appear, the characteristic analysis unit extracts the characteristic attribute again of the collected browsing information and the collected historical shopping information, and the intelligent recommendation display module analyzes the user requirement based on the extracted characteristic attribute to realize the commodity recommendation display.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. An e-commerce marketing system based on the Internet of things is characterized by comprising: the system comprises an e-commerce service client, a marketing recommendation service unit and a background transaction database, wherein the e-commerce service client is in interactive communication connection with the marketing recommendation service unit and the background transaction database respectively;
the E-commerce service client comprises a commodity retrieval module and a commodity display unit, wherein the commodity retrieval module is used for inputting retrieval information according to shopping requirements by a user;
the commodity display unit accesses a background transaction database to obtain historical transaction data and current browsing information of a user, and analyzes the historical transaction data and the current browsing information to realize commodity recommendation display;
the marketing recommendation service unit retrieves and acquires commodity information based on retrieval information input by a user and feeds the commodity information back to the commodity retrieval module for display;
the background transaction database is used for storing the transaction information of the user.
2. The e-commerce marketing system based on the internet of things of claim 1, wherein the e-commerce service client further comprises a commodity transaction unit, the commodity transaction unit is used for transaction payment after a user selects commodities from the commodity retrieval module and the commodity display unit, and the commodity transaction unit further transmits user transaction information to a background transaction database for storage.
3. The internet of things-based e-commerce marketing system of claim 1, wherein the commodity display unit comprises an information extraction module, a feature analysis module and an intelligent recommendation display module, the information extraction module obtains current browsing information and historical shopping information of a user, the feature analysis module extracts feature attributes of the collected browsing information and the collected historical shopping information, and the intelligent recommendation display module analyzes user requirements based on the extracted feature attributes to realize commodity recommendation display.
4. The internet-of-things-based e-commerce marketing system of claim 1, wherein the marketing recommendation service unit comprises an information calling module and a retrieval extraction module, the information calling module calls retrieval information input by a user, and the retrieval extraction module retrieves commodity information based on the called retrieval information and feeds the commodity information back to the commodity retrieval module.
5. The internet-of-things-based e-commerce marketing system of claim 3, wherein the background transaction database comprises a retrieval analysis module, a data storage unit and a database, the retrieval analysis module performs retrieval analysis based on the user transaction information uploaded by the commodity transaction unit, and the data storage unit stores the uploaded user transaction information in the database based on the retrieval analysis result.
6. The internet-of-things-based e-commerce marketing system of claim 5, wherein the data storage unit comprises a data updating module and a creating module, when the retrieval analysis module retrieves and analyzes the uploaded user transaction information without historical information, the creating module automatically creates a folder to store the user transaction information, and when the retrieval analysis module retrieves and analyzes the uploaded user transaction information with historical information, the data updating module updates the current user transaction information to the historical information.
7. The internet-of-things-based e-commerce marketing system of claim 6, wherein the data storage unit further comprises an update marking module and an attribute marking module, the update marking module is used for marking the update state of the user transaction history information, and the attribute marking module is used for extracting and marking the feature attributes of the updated user transaction history information.
8. The internet of things-based e-commerce marketing system of claim 7, wherein the information extraction module further automatically extracts a user transaction history information update status flag and a characteristic attribute flag, and the characteristic analysis unit analyzes whether to perform characteristic analysis based on the update status flag and the characteristic attribute flag of the user, so as to determine whether to update the recommended display content of the goods in the goods display unit.
9. An e-commerce marketing method based on the internet of things, which is based on the e-commerce marketing system based on the internet of things of any one of claims 1 to 8, and is characterized by comprising the following steps:
s1: a user inputs retrieval information to the commodity retrieval module according to shopping requirements, and commodity information is retrieved and obtained through the marketing recommendation service unit based on the retrieval information input by the user and fed back to the commodity retrieval module for display;
s2: the commodity display unit accesses a background transaction database to obtain historical transaction data and current browsing information of a user, and performs characteristic analysis and extraction to realize commodity recommendation display;
s3: after selecting commodities from the commodity retrieval module and the commodity display unit, the user carries out transaction payment through the commodity transaction unit, and transmits user transaction information to the background transaction database for storage through the commodity transaction unit;
s4: the background transaction database updates the state mark and the characteristic attribute mark when storing the user transaction information, and the commodity display unit analyzes whether to update the recommended commodity display content in the commodity display unit or not based on the updated state mark and the characteristic attribute mark of the user.
10. The internet of things-based e-commerce marketing method of claim 9, wherein in the step S4, the analyzing, by the commodity display unit, whether to update the recommended commodity content displayed in the commodity display unit based on the update status flag and the characteristic attribute flag of the user specifically includes the following steps:
s4.1: automatically extracting a user transaction history information updating state mark and a characteristic attribute mark through an information extraction module;
s4.2: analyzing whether to perform characteristic analysis or not by a characteristic analysis unit based on the update state flag and the characteristic attribute flag of the user;
s4.3: when the update state mark does not appear or the update state mark appears but the characteristic attribute mark does not appear, the characteristic analysis unit does not perform characteristic analysis and directly calls the last commodity recommendation display information to perform update display;
s4.4: when the updating state mark and the characteristic attribute mark appear, the characteristic analysis unit extracts the characteristic attribute again of the collected browsing information and the collected historical shopping information, and the intelligent recommendation display module analyzes the user requirement based on the extracted characteristic attribute to realize the commodity recommendation display.
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