CN116091153A - Data management method, system and storage medium of e-commerce platform - Google Patents
Data management method, system and storage medium of e-commerce platform Download PDFInfo
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Abstract
The invention discloses a data management method, a system and a storage medium of an electronic commerce platform, which comprise the steps of obtaining all merchant information of the electronic commerce platform and classifying merchants according to the merchant information; dividing the merchant into directly recommended merchants or verifiable recommended merchants according to the merchant classification information, acquiring search information of a user, acquiring corresponding merchant information, and judging whether the merchant belongs to the verifiable recommended merchant according to the merchant information; if not, recommending corresponding commodities in the directly recommended merchants to the user; if yes, the search information is used as verification information, a privacy browsing mode is entered, and corresponding commodities of the verifiable recommended merchant are recommended to the user; and monitoring the browsing information of the user, and if the user exits the current searching information browsing interface or enters a browsing interface capable of directly recommending merchants, exiting the privacy browsing mode and canceling recommending corresponding commodities capable of verifying recommended merchants to the user. The problem that privacy of a user is easy to reveal when the user uses an electronic commerce platform at present is solved.
Description
Technical Field
The invention belongs to the technical field of data management of an e-commerce platform, and particularly relates to a data management method, a system and a storage medium of the e-commerce platform.
Background
In the development process of the e-commerce industry, a large amount of network data information can be generated by the operation behaviors of the e-commerce platform users, so that the real problem of how to distinguish the true and false of the information and guarantee the quality of the data becomes in front of people is faced to how to analyze and support the massive data information by applying an advanced technology, and at present, the data information in the network can be divided into two major types, namely, the data mainly comprises characters, texts and numbers; the other type is unstructured data, namely data strings with main forms including pictures, video and audio. The interaction behavior of people in the network is more and more, so the format of network information data is more and more complex. The data mining technology should analyze and mine the increasingly large and complex network data to rapidly and accurately acquire valuable information, and explore knowledge and information which are hidden in incomplete, noisy and random data and are not known. For an e-commerce enterprise, the purchasing mode and behavior characteristics of the e-commerce user are mined.
The e-commerce platform analyzes the consumer information, is mainly known from the aspects of access data, consumer browsing behaviors, access channels, access modes and the like, and mines valuable data information about consumers. Through the data mining technology, the electronic commerce platform can classify consumers, keep the consumers, cross sell the consumers and the like, and then analyze the consumption capacity of the consumers according to the information, so as to purposefully adjust marketing strategies. For example, a consumer behavior reaction prediction mode is constructed by utilizing a data mining technology, so that the consumer behavior possibly occurring in the future is estimated, and a valuable reference can be provided for mining potential target clients in an electronic commerce industry. Or carrying out one-to-one marketing by utilizing a related technology, classifying mass consumers by a clustering method of data mining, analyzing the group behavior rule of the consumers, grasping group commonality, and adopting accurate marketing or differentiated marketing.
Therefore, the conventional electronic commerce platform comprehensively stores and deeply mines and analyzes the client data, and a user generally relates to some privacy when using the electronic commerce platform, however, the conventional electronic commerce platform stores and analyzes the user data, and performs untimely recommendation when recommending commodities, so that the user privacy is easy to reveal when using the electronic commerce platform.
Disclosure of Invention
The invention aims to provide a data management method, a system and a storage medium of an e-commerce platform, which are used for solving the problems in the prior art.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the first aspect of the invention provides a data management method of an e-commerce platform, which is applied to servers built based on the e-commerce platform, wherein the servers are respectively in communication connection with a user terminal, and the method comprises the following steps:
acquiring all merchant information of an electronic merchant platform, and classifying merchants according to the merchant information;
dividing the merchant into directly recommended merchants or verifiable recommended merchants according to the merchant classification information, and storing merchant information into a corresponding database;
acquiring search information of a user, acquiring corresponding merchant information according to the search information, and judging whether the merchant belongs to a verifiable recommended merchant according to the merchant information;
if not, recommending corresponding commodities in the directly recommended merchants to the user;
if yes, the search information is used as verification information, a privacy browsing mode is entered, and corresponding commodities of the verifiable recommended merchant are recommended to the user;
and monitoring the browsing information of the user, and if the user exits the current searching information browsing interface or enters a browsing interface capable of directly recommending merchants, exiting the privacy browsing mode and canceling recommending corresponding commodities capable of verifying recommended merchants to the user.
According to the technology, the categories of the sold commodities of the merchants can be rapidly classified by classifying the merchants, the merchants are classified into the directly recommended merchants or the verifiable recommended merchants, and when a user uses the electronic commerce platform, a specific mode is set for matching the recommended merchants with the user; the method comprises the steps that a verifiable recommended merchant is taken as a privacy browsing module, and when the commodity required by a user does not belong to the commodity of the verifiable recommended merchant, the commodity of the verifiable recommended merchant is only recommended to the user, so that when the user browses the conventional commodity, the system recommends related commodities to the user, namely, when the user browses the related commodities together, privacy class hobbies appear in the recommended commodity, and the browsing hobbies of the user at ordinary times are revealed; the technology also monitors the browsing information of the user, if the user exits the current searching information browsing interface or enters a browsing interface capable of directly recommending merchants, the privacy browsing mode is exited, and the recommendation of corresponding commodities capable of verifying recommended merchants to the user is canceled; the situation that the recommendation of privacy class hobbies does not occur randomly is further ensured. The problem that privacy of a user is easy to reveal when the user uses an electronic commerce platform at present is solved.
In one possible design, the method further comprises: when the user directly browses the commodity which can be directly recommended to the merchant, the historical browsing record information of the user is obtained, the preference information of the user is obtained according to the analysis of the historical browsing record information, and the corresponding commodity which can be directly recommended to the merchant is directly recommended to the user according to the preference information of the user. By directly recommending corresponding commodities in the directly-recommendable merchant to the user according to user preferences when the user directly browses the commodities of the directly-recommendable merchant; the occurrence of commodities capable of verifying recommended merchants is avoided, and privacy disclosure is avoided.
In one possible design, the method further comprises: acquiring verification information set by a user, and storing the verification information as a verification instruction in an instruction library of a corresponding user; the verification instruction is used for verifying entering into a privacy browsing mode; and when the user search information is any instruction in the instruction library, entering a privacy browsing mode. By setting the verification information, the instruction setting is completed, and when a specific instruction is input, a specific privacy browsing mode is entered, and as can be known from the above, the recommendation after entering the privacy browsing mode is related to privacy or the corresponding commodity of the verifiable recommendation merchant which does not want to be disclosed.
In one possible design, the method further comprises: establishing a user independent database according to user information, wherein the independent database comprises a public database, a personal database and a privacy database; the public database is used for storing browsing records shared by users to appointed users; the personal database is used for storing user information and browsing records of directly recommended merchants browsed by the user; the privacy database is used for storing verifiable recommended merchants browsed by users. By storing the independent databases of different types of browsing records, including browsing records shared with a designated user, browsing records of a directly recommended merchant, and storage records of a verifiable recommended merchant, independent management of shared, personal, and private data is provided, avoiding confusion.
In one possible design, preference information of the user is analyzed according to browsing records in the public database, the personal database and the privacy database, and when the user uses different databases, commodities of corresponding merchants are recommended to the user according to the preference information obtained by each database. And analyzing favorite preference information of the user through browsing records in the public database, the personal database and the privacy database respectively, recommending favorite preferences obtained under the corresponding databases to the user when the user uses different databases, and recommending merchant commodities to realize different recommendation of different modes.
A second aspect of the present invention provides a data management system for an e-commerce platform, comprising
A merchant information acquisition module for acquiring all merchant information of the electronic merchant platform and sending the merchant information to a merchant information classification module,
the merchant information classification module is used for receiving the merchant information transmitted by the merchant information acquisition module, classifying the merchants according to the merchant information, classifying the merchants into directly recommended merchants or verifiable recommended merchants according to the merchant classification information, and transmitting the merchant information to the corresponding database for storage;
the database module is used for storing classified merchant information;
the user search information acquisition module is used for acquiring search information of a user and transmitting the search information to the merchant matching module;
the merchant matching module is used for receiving the search information transmitted by the user search information acquisition module, acquiring corresponding merchant information according to the search information, and judging whether the merchant belongs to a verifiable recommended merchant according to the merchant information; if not, recommending corresponding commodities in the directly recommended merchants to the user; if yes, the search information is used as verification information, a privacy browsing mode is entered, and corresponding commodities of the verifiable recommended merchant are recommended to the user; and
and the browsing monitoring module is used for monitoring browsing information of a user, and if the user exits the current searching information browsing interface or enters a browsing interface capable of directly recommending a merchant, the merchant matching module controls the user browsing mode to exit the privacy browsing mode and cancel recommending corresponding commodities capable of verifying the recommended merchant to the user.
In one possible design, the system further comprises a user browsing record acquisition module and a user preference analysis module, when the browsing monitoring module monitors that the user directly browses commodities capable of being directly recommended to a merchant, the browsing record acquisition module is used for acquiring historical browsing record information of the user and sending the historical browsing record information to the user preference analysis module, the user preference analysis module is used for receiving the historical browsing record information transmitted by the browsing record acquisition module, analyzing and acquiring user preference bias information according to the historical browsing record information and transmitting the user preference bias information to the merchant matching module, and the merchant matching module receives the user preference bias information and directly recommends corresponding commodities capable of being directly recommended to the merchant to the user according to the user preference bias information.
In one possible design, the system further comprises a verification information setting module, a verification information receiving module and an instruction library, wherein the verification information setting module is used for providing a user verification information setting interface, and the verification information receiving module is used for acquiring the verification information set by a user through the verification information setting interface and storing the verification information as a verification instruction in the instruction library of the corresponding user; the verification instruction is used for verifying entering into a privacy browsing mode; and when the user search information is any instruction in the instruction library, entering a privacy browsing mode.
The third aspect of the invention provides a data management system of an e-commerce platform, which comprises servers built based on the e-commerce platform, wherein the servers are respectively in communication connection with a user terminal, and the servers are used for executing the data management method of the e-commerce platform in the first aspect and any one of the possible designs of the first aspect.
A fourth aspect of the present invention provides a computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements a data management method for an e-commerce platform as described in any one of the possible designs of the first aspect and the aspect.
The beneficial effects are that: by classifying the merchants, the types of the sold commodities of the merchants can be classified rapidly, the merchants are classified into directly recommended merchants or verifiable recommended merchants, and when a user uses an electronic commerce platform, a specific mode is set for matching the recommended merchants with the user; the method comprises the steps that a verifiable recommended merchant is used as a merchant which can conduct recommendation when in a privacy browsing mode, when commodities to be found by a user do not belong to the commodities of the verifiable recommended merchant, only the commodities of the verifiable recommended merchant are recommended to the user, so that when a user browses conventional commodities, the system recommends related commodities to the user, privacy commodities appear, and when the user browses the related commodities together like friends, the privacy commodities appear in the recommended commodities, and browsing hobbies of the user at ordinary times are revealed; the technology also monitors the browsing information of the user, if the user exits the current searching information browsing interface or enters a browsing interface capable of directly recommending merchants, the privacy browsing mode is exited, and the recommendation of corresponding commodities capable of verifying recommended merchants to the user is canceled; the situation that the recommendation of privacy class hobbies does not occur randomly is further ensured. The problem that privacy of a user is easy to reveal when the user uses an electronic commerce platform at present is solved;
by setting verification information, completing instruction setting, entering a specific privacy browsing mode when a specific instruction is input, and recommending corresponding commodities which relate to privacy or are not to be disclosed and can be verified to recommended merchants after entering the privacy browsing mode; by storing the independent databases of different types of browsing records, wherein the browsing records are shared with a designated user, the browsing records of a directly recommended merchant and the storage records of a verifiable recommended merchant are included, thus, independent management of shared, personal and private data is provided, and confusion is avoided; and analyzing favorite preference information of the user through browsing records in the public database, the personal database and the privacy database respectively, recommending favorite preferences obtained under the corresponding databases to the user when the user uses different databases, and recommending merchant commodities to realize different recommendation of different modes.
Drawings
Fig. 1 is a flow chart of a data management method of an e-commerce platform provided in an embodiment;
fig. 2 is a module intent of a data management system of an e-commerce platform provided in an embodiment.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be briefly described below with reference to the accompanying drawings and the description of the embodiments or the prior art, and it is obvious that the following description of the structure of the drawings is only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art. It should be noted that the description of these examples is for aiding in understanding the present invention, but is not intended to limit the present invention.
Examples:
as shown in fig. 1, a first aspect of the present embodiment provides a data management method of an e-commerce platform, which is applied to servers set up based on the e-commerce platform, where the servers are respectively connected with a user terminal in a communication manner, and the method includes the following steps:
acquiring all merchant information of an electronic merchant platform, and classifying merchants according to the merchant information;
dividing the merchant into directly recommended merchants or verifiable recommended merchants according to the merchant classification information, and storing merchant information into a corresponding database;
acquiring search information of a user, acquiring corresponding merchant information according to the search information, and judging whether the merchant belongs to a verifiable recommended merchant according to the merchant information;
if not, recommending corresponding commodities in the directly recommended merchants to the user;
if yes, the search information is used as verification information, a privacy browsing mode is entered, and corresponding commodities of the verifiable recommended merchant are recommended to the user;
and monitoring the browsing information of the user, and if the user exits the current searching information browsing interface or enters a browsing interface capable of directly recommending merchants, exiting the privacy browsing mode and canceling recommending corresponding commodities capable of verifying recommended merchants to the user.
Specifically, the directly recommended merchant is a directly recommended merchant of the food and beverage residence, and the related merchant of the medicine, the medicine and the like is a verifiable recommended merchant; when a user searches for the specified medicine, the corresponding merchant is a type of a pharmacy, the pharmacy belongs to a verifiable recommended merchant, the specified medicine is taken as verification information at the moment, a privacy browsing mode is entered, and the verifiable recommended merchant with the specified medicine is recommended to the user; when the user continues to browse the commodity of the verifiable recommended merchant, the system continues to recommend the product related to the specified medicine to the user; after the user exits the commodity browsing interface of the verifiable recommended merchant, exiting the privacy browsing mode, and canceling recommending the corresponding commodity of the verifiable recommended merchant to the user; at this time, a general browsing mode is entered, and corresponding products in the user's home are recommended to the user.
In one possible embodiment, the method further comprises: when the user directly browses the commodity which can be directly recommended to the merchant, the historical browsing record information of the user is obtained, the preference information of the user is obtained according to the analysis of the historical browsing record information, and the corresponding commodity which can be directly recommended to the merchant is directly recommended to the user according to the preference information of the user.
Specifically, the user directly enters the e-commerce platform and does not input any search content, at this time, the historical browsing record information of the user is obtained, the preference information of the user is obtained according to the analysis of the historical browsing record information, and corresponding commodities in the merchant, namely, commodities related to the clothing and housing, can be directly recommended to the user according to the preference information of the user.
In one possible embodiment, the method further comprises: acquiring verification information set by a user, and storing the verification information as a verification instruction in an instruction library of a corresponding user; the verification instruction is used for verifying entering into a privacy browsing mode; and when the user search information is any instruction in the instruction library, entering a privacy browsing mode.
For example, the user may submit a specific text or character or a combination thereof or directly take a trade name as the verification information, and of course, the verification information may be provided in plurality, and the system stores the verification information as a verification instruction in the instruction library of the corresponding user; when the user searches the verification information again on the e-commerce platform, entering a privacy browsing mode; i.e., recommending to the user the item of the verifiable recommended merchant that is associated with the verification information.
In one possible embodiment, the method further comprises: establishing a user independent database according to user information, wherein the independent database comprises a public database, a personal database and a privacy database; the public database is used for storing browsing records shared by users to appointed users; the personal database is used for storing user information and browsing records of directly recommended merchants browsed by the user; the privacy database is used for storing verifiable recommended merchants browsed by users.
Correspondingly, preference information of the user is analyzed according to browsing records in the public database, the personal database and the privacy database, and when the user uses different databases, commodities of corresponding merchants are recommended to the user according to the preference information obtained by the databases.
As shown in fig. 2, a second aspect of the present embodiment provides a data management system of an e-commerce platform, including:
a merchant information acquisition module for acquiring all merchant information of the electronic merchant platform and sending the merchant information to a merchant information classification module,
the merchant information classification module is used for receiving the merchant information transmitted by the merchant information acquisition module, classifying the merchants according to the merchant information, classifying the merchants into directly recommended merchants or verifiable recommended merchants according to the merchant classification information, and transmitting the merchant information to the corresponding database for storage;
the database module is used for storing classified merchant information;
the user search information acquisition module is used for acquiring search information of a user and transmitting the search information to the merchant matching module;
the merchant matching module is used for receiving the search information transmitted by the user search information acquisition module, acquiring corresponding merchant information according to the search information, and judging whether the merchant belongs to a verifiable recommended merchant according to the merchant information; if not, recommending corresponding commodities in the directly recommended merchants to the user; if yes, the search information is used as verification information, a privacy browsing mode is entered, and corresponding commodities of the verifiable recommended merchant are recommended to the user; and
and the browsing monitoring module is used for monitoring browsing information of a user, and if the user exits the current searching information browsing interface or enters a browsing interface capable of directly recommending a merchant, the merchant matching module controls the user browsing mode to exit the privacy browsing mode and cancel recommending corresponding commodities capable of verifying the recommended merchant to the user.
In a possible implementation manner, the system further comprises a user browsing record acquisition module and a user preference analysis module, when the browsing monitoring module monitors that the user directly browses goods which can be directly recommended to a merchant, the browsing record acquisition module is used for acquiring historical browsing record information of the user and sending the historical browsing record information to the user preference analysis module, the user preference analysis module is used for receiving the historical browsing record information transmitted by the browsing record acquisition module, analyzing and acquiring user preference bias information according to the historical browsing record information and transmitting the user preference bias information to the merchant matching module, and the merchant matching module receives the user preference bias information and directly recommends corresponding goods which can be directly recommended to the merchant to the user according to the user preference bias information.
In a possible implementation manner, the system further comprises a verification information setting module, a verification information receiving module and an instruction library, wherein the verification information setting module is used for providing a user verification information setting interface, and the verification information receiving module is used for acquiring the verification information set by a user through the verification information setting interface and storing the verification information as a verification instruction in the instruction library of the corresponding user; the verification instruction is used for verifying entering into a privacy browsing mode; and when the user search information is any instruction in the instruction library, entering a privacy browsing mode.
A third aspect of the present embodiment provides a data management system of an e-commerce platform, where the servers are based on servers set up by the e-commerce platform, and the servers are respectively connected with a user terminal in a communication manner, and the servers are configured to execute a data management method of the e-commerce platform according to the first aspect and any one possible implementation manner of the first aspect.
The fourth aspect of the present embodiment provides a computer readable storage medium, where a computer program is stored, where the computer program is executed by a processor to perform a data management method of an e-commerce platform as described in the first aspect and any one of possible implementation manners of the first aspect.
The integrated modules, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the present application implements all or part of the flow of the method of the above embodiments, and may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photo terminal equipment, a recording medium, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Such as a U-disk, removable hard disk, magnetic or optical disk, etc.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed terminal device and method may be implemented in other manners. For example, the above-described embodiments of the terminal device are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division in actual implementation, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not performed.
Finally, it should be noted that: the foregoing description is only of the preferred embodiments of the invention and is not intended to limit the scope of the invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The data management method of the e-commerce platform is characterized by comprising the following steps of:
acquiring all merchant information of an electronic merchant platform, classifying merchants according to the merchant information, and acquiring merchant classification information;
dividing the merchant into directly recommended merchants or verifiable recommended merchants according to the merchant classification information;
acquiring search information of a user, acquiring corresponding merchant information according to the search information, and judging whether a merchant belongs to a verifiable recommended merchant according to merchant classification information corresponding to the merchant information;
if not, recommending corresponding commodities in the directly recommended merchants to the user;
if yes, the search information is used as verification information, a privacy browsing mode is entered, and corresponding commodities of the verifiable recommended merchant are recommended to the user;
and monitoring the browsing information of the user, and if the user exits the current searching information browsing interface or enters a browsing interface capable of directly recommending the corresponding commodity of the merchant, exiting the privacy browsing mode and canceling recommending the corresponding commodity capable of verifying the recommended merchant to the user.
2. The method for data management of an e-commerce platform of claim 1, further comprising: when the user directly browses the commodity which can be directly recommended to the merchant, the historical browsing record information of the user is obtained, the preference information of the user is obtained according to the analysis of the historical browsing record information, and the corresponding commodity which can be directly recommended to the merchant is directly recommended to the user according to the preference information of the user.
3. The method for data management of an e-commerce platform of claim 1, further comprising: acquiring verification information set by a user, and storing the verification information as a verification instruction in an instruction library of a corresponding user; the verification instruction is used for verifying entering into a privacy browsing mode; and when the user search information is any instruction in the instruction library, entering a privacy browsing mode.
4. The method for data management of an e-commerce platform of claim 1, further comprising: establishing a user independent database according to user information, wherein the independent database comprises a public database, a personal database and a privacy database; the public database is used for storing browsing records shared by users to appointed users; the personal database is used for storing user information and browsing records of directly recommended merchants browsed by the user; the privacy database is used for storing verifiable recommended merchants browsed by users.
5. The data management method of an e-commerce platform according to claim 4, wherein preference information of the user is analyzed according to browsing records in the public database, the personal database and the privacy database, respectively, and when the user uses different databases, goods of the corresponding merchant are recommended to the user according to the preference information obtained by each database, respectively.
6. A data management system for an e-commerce platform, comprising:
the merchant information acquisition module is used for acquiring all merchant information of the electronic merchant platform and sending the merchant information to the merchant information classification module;
the merchant information classification module is used for receiving the merchant information transmitted by the merchant information acquisition module, classifying the merchants according to the merchant information, classifying the merchants into directly recommended merchants or verifiable recommended merchants according to the merchant classification information, and transmitting the merchant information to the corresponding database for storage;
the database module is used for storing classified merchant information;
the user search information acquisition module is used for acquiring search information of a user and transmitting the search information to the merchant matching module;
the merchant matching module is used for receiving the search information transmitted by the user search information acquisition module, acquiring corresponding merchant information according to the search information, and judging whether the merchant belongs to a verifiable recommended merchant according to the merchant information; if not, recommending corresponding commodities in the directly recommended merchants to the user; if yes, the search information is used as verification information, a privacy browsing mode is entered, and corresponding commodities of the verifiable recommended merchant are recommended to the user; and
and the browsing monitoring module is used for monitoring browsing information of a user, and if the user exits the current searching information browsing interface or enters a browsing interface capable of directly recommending a merchant, the merchant matching module controls the user browsing mode to exit the privacy browsing mode and cancel recommending corresponding commodities capable of verifying the recommended merchant to the user.
7. The system of claim 6, further comprising a user browsing record acquisition module and a user preference analysis module, wherein when the browsing monitoring module monitors that the user browses goods of the directly recommendable merchant, the browsing record acquisition module is used for acquiring historical browsing record information of the user and sending the historical browsing record information to the user preference analysis module, the user preference analysis module is used for receiving the historical browsing record information transmitted by the browsing record acquisition module, analyzing and acquiring user preference information according to the historical browsing record information and transmitting the user preference information to the merchant matching module, and the merchant matching module receives the user preference information and directly recommends corresponding goods of the directly recommendable merchant to the user according to the user preference information.
8. The data management system of the e-commerce platform according to claim 6, further comprising a verification information setting module, a verification information receiving module and an instruction library, wherein the verification information setting module is used for providing a user verification information setting interface, and the verification information receiving module is used for acquiring the verification information set by a user through the verification information setting interface and storing the verification information as a verification instruction in the instruction library of the corresponding user; the verification instruction is used for verifying entering into a privacy browsing mode; and when the user search information is any instruction in the instruction library, entering a privacy browsing mode.
9. A data management system of an e-commerce platform, comprising a server built based on the e-commerce platform, wherein the server is in communication connection with a user terminal, and the server is used for executing the data management method of the e-commerce platform according to any one of claims 1 to 5.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the data management method of an e-commerce platform according to any one of claims 1 to 5.
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Citations (6)
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| CN112581238A (en) * | 2020-12-30 | 2021-03-30 | 平潭综合实验区澄心贸易有限公司 | E-commerce commodity display system and working method thereof |
| CN114612178A (en) * | 2022-02-28 | 2022-06-10 | 阿里健康科技(杭州)有限公司 | Commodity information processing method and commodity information processing device |
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