CN112100494A - Database for electronic commerce and working method - Google Patents
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- CN112100494A CN112100494A CN202010960385.1A CN202010960385A CN112100494A CN 112100494 A CN112100494 A CN 112100494A CN 202010960385 A CN202010960385 A CN 202010960385A CN 112100494 A CN112100494 A CN 112100494A
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- 230000001360 synchronised effect Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 2
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- G06Q30/00—Commerce
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Abstract
The invention provides a database for electronic commerce and a working method thereof, which comprises a receiving module, a storage module, a classification module, a time recording module, a keyword extraction module, a logic judgment module, a retrieval module and a network database updating module, wherein the storage module is used for storing user information and e-commerce transaction information, the classification module is used for carrying out category division on the e-commerce transaction information of each user, the time recording module is used for recording the creation time of each e-commerce transaction information and the lapse time after each e-commerce transaction information is finished, the keyword extraction module is used for carrying out the same and related keyword extraction on a plurality of e-commerce transaction information, the longitudinal deduction module of the logic judgment module judges the related e-commerce transaction information expected according to the lapse of time of the initial e-commerce transaction information, the transverse expansion module judges the peripheral e-commerce information of the initial e-commerce transaction information in the same period, and the retrieval module carries out the same or related E-commerce information search according to the extracted keywords.
Description
Technical Field
The invention belongs to the technical field of e-commerce, relates to the establishment and operation of a database, and particularly relates to a database for e-commerce and a working method thereof.
Background
Electronic commerce is a business activity which takes an information network technology as a means and takes commodity exchange as a center; it can also be understood that the transaction activities and related service activities performed in electronic transaction manner on the Internet (Internet), Intranet (Intranet) and Value Added Network (VAN) are the electronization, networking and informatization of each link of the traditional business activities.
Electronic commerce generally refers to a novel business operation mode in which, in wide business trading activities worldwide, in an internet environment open to the internet, buyers and sellers conduct various business activities without conspiracy, and consumers perform online shopping, online transactions among merchants, online electronic payments, and various business activities, trading activities, financial activities, and related comprehensive service activities. Electronic commerce is a business activity using microcomputer technology and network communication technology. Governments, scholars and business persons in various countries have given many different definitions according to their positions and the angle and degree of participation in electronic commerce. The electronic commerce is divided into: ABC, B2B, B2C, C2C, B2M, M2C, B2A (i.e., B2G), C2A (i.e., C2G), O2O e-commerce mode, and the like.
Meanwhile, network marketing is also a product of electronic commerce, and for network marketing, a network marketing scheme is required to be made before doing so, so that planning implementation is facilitated.
The existing electronic commerce can only recommend commodity information to users in a mechanized manner, and cannot make intelligent tracking inference according to commodities purchased by the users. Thereby being disadvantageous to the electronic commerce to provide effective services to users. Meanwhile, a great deal of time is wasted due to searching when the user purchases the commodity. At present, a quick, convenient and intelligent commodity or service growth type recommendation function is not formed on the network marketing.
Disclosure of Invention
The invention aims to solve the problems in the prior art, and provides a database and a working method for electronic commerce, wherein the database and the working method are used for deducing consumption requirements possibly occurring in different subsequent time periods according to characteristics of commodities and according to historical consumption information of a user and transition time, so that intelligent recommendation is realized.
The purpose of the invention can be realized by the following technical scheme: a database for electronic commerce comprises a receiving module, a storage module, a classification module, a time recording module, a keyword extraction module, a logic judgment module, a retrieval module and a network database updating module, wherein the receiving module is used for receiving user information and e-commerce transaction information thereof, the storage module is used for storing the user information and the e-commerce transaction information, the storage module comprises a plurality of unit storage modules, the unit storage modules are used for independently storing the user information and the e-commerce transaction information thereof, the classification module is used for carrying out category division on the e-commerce transaction information of each user, the time recording module is used for recording the creation time of each e-commerce transaction information and also is used for recording the lapse time after each e-commerce transaction information is finished, and the keyword extraction module is used for carrying out the same and related keyword extraction on a plurality of e-commerce transaction information, the logic judgment module is divided into a longitudinal deduction module and a transverse expansion module, the longitudinal deduction module judges the expected related e-commerce information of the initial e-commerce transaction information according to time lapse, the transverse expansion module judges the peripheral e-commerce information of the initial e-commerce transaction information in the same period, the retrieval module carries out the same or related e-commerce information search according to the extracted keywords, and the network database updating module continuously receives and updates the uploaded e-commerce information.
In the above-mentioned database for electronic commerce, the unit storage module includes a plurality of unit classification storage modules therein, and the unit classification storage modules are used for independently storing different kinds of e-commerce transaction information of a single user.
The above database for electronic commerce further includes an encryption module, where the encryption module is used to encrypt and decrypt the interactive data between the database and the external system.
In the database for electronic commerce, the receiving module, the storage module, the classification module, the time recording module, the keyword extraction module, the logic judgment module, the retrieval module and the network database updating module are communicated in a multi-way penetrating manner through electric signals.
In the database for electronic commerce, the network database updating module is communicated with an e-commerce cloud network through an electric signal.
The working method of the database for the electronic commerce comprises the following steps:
1) establishing a plurality of independent folders in a storage module, receiving a large amount of user information and E-commerce transaction information thereof, wherein each folder comprises the user information and the E-commerce transaction information thereof;
2) dividing the E-commerce transaction information of each user information according to the associated commodity category;
3) recording the creation time of the e-commerce transaction information of the target user, and accumulating the lapse time of each e-commerce transaction information by taking the creation time as a starting point;
4) searching the related peripheral commodity information for recommendation by taking the similar and synchronous e-commerce transaction information as a unit;
5) and searching relevant commodity information and/or after-sale service information of expected requirements according to the length of the lapse time by taking the same-class and same-period e-commerce transaction information as a unit for recommendation.
The working method of the database for the electronic commerce is a specific case in practical application. In case one, a target user purchases goods in the aspect of house decoration within a period of time, and recommends other goods related to house decoration and other goods related to the decoration goods to the target user according to the peripheral e-commerce information recommendation function; after the initial decoration commodity consumption time passes by a period of time, the furniture commodities, the decoration commodities, the formaldehyde detection and elimination commodities and the like are recommended to the target user according to the continuous e-commerce information recommendation function, and the furniture maintenance commodities and the like are recommended to the target user after the period of time passes. In case two, the target user purchases the newborn products within a period of time, and other products related to the newborn use and other products related to the infant products are recommended to the target user according to the peripheral e-commerce information recommendation function; after the initial consumption time of the newborn products passes one month, food commodities, toy commodities, other application commodities and the like needed by infants in different months are recommended to target users according to a continuous e-commerce information recommendation function, and the recommendation function can be continued until the infants grow up or even longer. The user can also apply for canceling the e-commerce information recommendation function.
In the working method of the database for the electronic commerce, in the step 1), a plurality of sub-folders are established in each independent folder, the same keyword and/or the related keyword in the electronic commerce transaction information are extracted to divide the same-class commodities, different types of electronic commerce transaction information are put into different sub-folders, and each sub-folder is ensured to only contain the same-class electronic commerce transaction information.
In the above working method of the database for electronic commerce, in steps 4) and 5), the unit time duration is set manually according to the length of the unit time, the unit time duration is day, week, month, season and year, the unit time durations of different types of e-commerce transaction information are different, and a plurality of e-commerce transaction information in the unit time are the same-period e-commerce transaction information.
In the working method of the database for the electronic commerce, in step 4), when a target user completes new e-commerce transaction information according to recommendation, the e-commerce transaction information is an extended transaction which belongs to the same kind as the initial e-commerce transaction information, and meanwhile, a grade value is accumulated for the target user; in step 5), when the target user completes new E-commerce transaction information according to the recommendation, the E-commerce transaction information is a continuous transaction, the continuous transaction and the initial E-commerce transaction information belong to the same type, and meanwhile, a grade value is accumulated for the target user.
In the above working method of the database for electronic commerce, when a background manager logs in to check user information and e-commerce transaction information thereof, a password needs to be input.
Compared with the prior art, the database for electronic commerce and the working method have the following advantages:
and recommending associated expandable e-commerce information in the same period according to the historical consumption information of the user in combination with the consumption period, deducing consumption demands which possibly occur in different time periods in the later period according to the characteristics of the commodities, and recommending associated extended e-commerce information, thereby realizing an intelligent network marketing mode in combination with the transverse direction and the longitudinal direction. On one hand, the method provides faster, more convenient and more intelligent electronic information service for the user, greatly saves the time spent by the user in searching, and carries out purchase reminding on the actual demand of the user; on the other hand, the method obviously increases the transaction amount of network marketing, improves the income, improves the exposure of commodities, reduces the backlog of products with lost sales, and promotes the economic development of electronic commerce.
Detailed Description
The following specific examples further illustrate specific embodiments of the invention:
a database for electronic commerce comprises a receiving module, a storage module, a classification module, a time recording module, a keyword extraction module, a logic judgment module, a retrieval module and a network database updating module, wherein the receiving module is used for receiving user information and e-commerce transaction information thereof, the storage module is used for storing the user information and the e-commerce transaction information, the storage module comprises a plurality of unit storage modules, the unit storage modules are used for independently storing the user information and the e-commerce transaction information thereof, the classification module is used for carrying out type division on the e-commerce transaction information of each user, the time recording module is used for recording the creation time of each e-commerce transaction information and also is used for recording the lapse time after the end of each e-commerce transaction information, the keyword extraction module is used for carrying out the same and related keyword extraction on a plurality of e-commerce transaction information, and the logic judgment module is divided into a longitudinal deduction module and a transverse expansion module, the longitudinal deduction module judges the related e-commerce information expected by the initial e-commerce transaction information according to the time lapse, the transverse expansion module judges the peripheral e-commerce information of the initial e-commerce transaction information in the same period, the retrieval module searches the same or related e-commerce information according to the extracted keywords, and the network database updating module continuously receives and updates the uploaded e-commerce information.
In the above-mentioned database for electronic commerce, the unit storage module includes a plurality of unit classification storage modules therein, and the unit classification storage modules are used for independently storing different kinds of e-commerce transaction information of a single user.
The database for electronic commerce further comprises an encryption module, and the encryption module is used for encrypting and decrypting interactive data between the database and an external system.
In the database for electronic commerce, the receiving module, the storage module, the classification module, the time recording module, the keyword extraction module, the logic judgment module, the retrieval module and the network database updating module are communicated in a multi-way penetrating manner through electric signals.
In the database for electronic commerce, the network database updating module is communicated with an e-commerce cloud network through an electric signal.
The working method of the database for the electronic commerce comprises the following steps:
1) establishing a plurality of independent folders in a storage module, receiving a large amount of user information and E-commerce transaction information thereof, wherein each folder comprises the user information and the E-commerce transaction information thereof;
2) dividing the E-commerce transaction information of each user information according to the associated commodity category;
3) recording the creation time of the e-commerce transaction information of the target user, and accumulating the lapse time of each e-commerce transaction information by taking the creation time as a starting point;
4) searching the related peripheral commodity information for recommendation by taking the similar and synchronous e-commerce transaction information as a unit;
5) and searching relevant commodity information and/or after-sale service information of expected requirements according to the length of the lapse time by taking the same-class and same-period e-commerce transaction information as a unit for recommendation.
The working method of the database for the electronic commerce is a specific case in practical application. In case one, a target user purchases goods in the aspect of house decoration within a period of time, and recommends other goods related to house decoration and other goods related to the decoration goods to the target user according to the peripheral e-commerce information recommendation function; after the initial decoration commodity consumption time passes by a period of time, the furniture commodities, the decoration commodities, the formaldehyde detection and elimination commodities and the like are recommended to the target user according to the continuous e-commerce information recommendation function, and the furniture maintenance commodities and the like are recommended to the target user after the period of time passes. In case two, the target user purchases the newborn products within a period of time, and other products related to the newborn use and other products related to the infant products are recommended to the target user according to the peripheral e-commerce information recommendation function; after the initial consumption time of the newborn products passes one month, food commodities, toy commodities, other application commodities and the like needed by infants in different months are recommended to target users according to a continuous e-commerce information recommendation function, and the recommendation function can be continued until the infants grow up or even longer. The user can also apply for canceling the e-commerce information recommendation function.
In the working method of the database for the electronic commerce, in the step 1), a plurality of sub-folders are established in each independent folder, the same keyword and/or the related keyword in the electronic commerce transaction information are extracted to divide the same-class commodities, different types of electronic commerce transaction information are put into different sub-folders, and each sub-folder is ensured to only contain the same-class electronic commerce transaction information.
In the above working method of the database for electronic commerce, in steps 4) and 5), the unit time duration is set manually according to the length of the unit time, the unit time duration is day, week, month, season and year, the unit time durations of different types of e-commerce transaction information are different, and a plurality of e-commerce transaction information in the unit time are the same-period e-commerce transaction information.
In the working method of the database for the electronic commerce, in step 4), when a target user completes new e-commerce transaction information according to recommendation, the e-commerce transaction information is an extended transaction which belongs to the same kind as the initial e-commerce transaction information, and meanwhile, a grade value is accumulated for the target user; in step 5), when the target user completes new E-commerce transaction information according to the recommendation, the E-commerce transaction information is a continuous transaction, the continuous transaction and the initial E-commerce transaction information belong to the same type, and meanwhile, a grade value is accumulated for the target user.
In the above working method of the database for electronic commerce, when a background manager logs in to check user information and e-commerce transaction information thereof, a password needs to be input.
Compared with the prior art, the database for electronic commerce and the working method have the following advantages:
and recommending associated expandable e-commerce information in the same period according to the historical consumption information of the user in combination with the consumption period, deducing consumption demands which possibly occur in different time periods in the later period according to the characteristics of the commodities, and recommending associated extended e-commerce information, thereby realizing an intelligent network marketing mode in combination with the transverse direction and the longitudinal direction. On one hand, the method provides faster, more convenient and more intelligent electronic information service for the user, greatly saves the time spent by the user in searching, and carries out purchase reminding on the actual demand of the user; on the other hand, the method obviously increases the transaction amount of network marketing, improves the income, improves the exposure of commodities, reduces the backlog of products with lost sales, and promotes the economic development of electronic commerce.
It is to be understood that the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, and those skilled in the art may make modifications, alterations, additions or substitutions within the spirit and scope of the present invention.
Claims (10)
1. A database for electronic commerce is characterized by comprising a receiving module, a storage module, a classification module, a time recording module, a keyword extraction module, a logic judgment module, a retrieval module and a network database updating module, wherein the receiving module is used for receiving user information and e-commerce transaction information thereof, the storage module is used for storing the user information and the e-commerce transaction information, the storage module comprises a plurality of unit storage modules, the unit storage modules are used for independently storing the user information and the e-commerce transaction information thereof, the classification module is used for carrying out category division on the e-commerce transaction information of each user, the time recording module is used for recording the creation time of each e-commerce transaction information and also is used for recording the lapse time after each e-commerce transaction information is finished, and the keyword extraction module is used for carrying out the same and related keyword extraction on a plurality of e-commerce transaction information, the logic judgment module is divided into a longitudinal deduction module and a transverse expansion module, the longitudinal deduction module judges the expected related e-commerce information of the initial e-commerce transaction information according to time lapse, the transverse expansion module judges the peripheral e-commerce information of the initial e-commerce transaction information in the same period, the retrieval module carries out the same or related e-commerce information search according to the extracted keywords, and the network database updating module continuously receives and updates the uploaded e-commerce information.
2. The database for electronic commerce according to claim 1, wherein the unit storage module includes a plurality of unit classification storage modules therein, the unit classification storage modules being configured to store different kinds of electronic commerce transaction information of a single user independently.
3. The database for electronic commerce according to claim 1, further comprising an encryption module for encrypting and decrypting the interaction data between the database and the external system.
4. The database for electronic commerce according to claim 1, wherein the receiving module, the storing module, the classifying module, the time recording module, the keyword extracting module, the logic judging module, the retrieving module and the network database updating module are connected in a multi-way penetrating manner through electric signals.
5. The database for electronic commerce according to claim 1, wherein said network database update module is in communication with an e-commerce cloud network via an electrical signal.
6. The method of working a database for electronic commerce according to claim 1, comprising the steps of:
1) establishing a plurality of independent folders in a storage module, receiving a large amount of user information and E-commerce transaction information thereof, wherein each folder comprises the user information and the E-commerce transaction information thereof;
2) dividing the E-commerce transaction information of each user information according to the associated commodity category;
3) recording the creation time of the e-commerce transaction information of the target user, and accumulating the lapse time of each e-commerce transaction information by taking the creation time as a starting point;
4) searching the related peripheral commodity information for recommendation by taking the similar and synchronous e-commerce transaction information as a unit;
5) and searching relevant commodity information and/or after-sale service information of expected requirements according to the length of the lapse time by taking the same-class and same-period e-commerce transaction information as a unit for recommendation.
7. The method as claimed in claim 6, wherein in step 1), a plurality of subfolders are established in each independent folder, and different types of electronic commerce transaction information are included in different subfolders by extracting the same keyword and/or associated keyword from the electronic commerce transaction information to divide the same type of goods, so as to ensure that each subfolder only contains the same type of electronic commerce transaction information.
8. The method as claimed in claim 6, wherein in the steps 4) and 5), the unit time duration is set by human, the unit time duration is day, week, month, season, and year, the unit time duration of different kinds of electronic commerce transaction information is different, and the plurality of electronic commerce transaction information in the unit time are the same-period electronic commerce transaction information.
9. The method of operating a database for electronic commerce according to claim 6, wherein in step 4), when the target user completes new e-commerce transaction information according to the recommendation, the e-commerce transaction information is an extended transaction, the extended transaction is of the same kind as the initial e-commerce transaction information, and a rating value is accumulated for the target user; in step 5), when the target user completes new E-commerce transaction information according to the recommendation, the E-commerce transaction information is a continuous transaction, the continuous transaction and the initial E-commerce transaction information belong to the same type, and meanwhile, a grade value is accumulated for the target user.
10. The method as claimed in claim 6, wherein a password is required to be inputted when a background manager logs in to view the user information and the e-commerce transaction information.
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Application publication date: 20201218 |