CN115545826A - Operation system of electronic commerce platform - Google Patents
Operation system of electronic commerce platform Download PDFInfo
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- CN115545826A CN115545826A CN202211165467.2A CN202211165467A CN115545826A CN 115545826 A CN115545826 A CN 115545826A CN 202211165467 A CN202211165467 A CN 202211165467A CN 115545826 A CN115545826 A CN 115545826A
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- 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
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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]
- G06Q30/0641—Shopping interfaces
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Abstract
The invention relates to the technical field of electronic commerce, and discloses an operation system of an electronic commerce platform, which comprises a merchant interface and a user interface, wherein the merchant interface is used for displaying merchant commodities, the user interface is used for managing user information, a user binds the user information through a registered account, the account information comprises identity information, shopping information and user comment information, and the operation system further comprises: the user login module is used for a client to log in the business platform and enter a user interface through the user login module; through the cooperation use of one-level propelling movement module and second grade propelling movement module, reach and carry out preliminary screening propelling movement and the accurate propelling movement of secondary to commodity to effectively improve the propelling movement effect of commodity, and carry out the commodity propelling movement according to user history information or browsing information, thereby effectively guarantee the accuracy of commodity propelling movement, avoid arousing customer's reaction, whole system intelligence propelling movement, effectively optimize the operation of commercial platform, reduce the operation cost of commercial platform, improve commercial platform's operation effect.
Description
Technical Field
The invention relates to the technical field of electronic commerce, in particular to an operation system of an electronic commerce platform.
Background
With the development of information technology and the rise of online shopping, electronic commerce has penetrated into various aspects; in the existing e-commerce platform, in order to increase the transaction success rate, information push needs to be performed on platform users. Push technology reduces the time for searching on a network by automatically delivering information to a user.
However, the existing pushing technology is messy in pushing information and cannot effectively push according to the actual demand of a user, so that the information can be fed to audiences to generate a sense of incongruity, a lot of useless information is caused, pushing resources are wasted, and the advertisement cost is increased.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an operation system of an e-commerce platform, which has the advantages.
In order to achieve the purpose, the invention provides the following technical scheme: an operation system of an electronic commerce platform comprises a merchant interface and a user interface, wherein the merchant interface is used for displaying merchant commodities, the user interface is used for managing user information, a user binds the user information through a registered account, the account information comprises identity information, shopping information and user comment information, and the operation system further comprises:
the user login module is used for a user to log in the business platform, enter a user interface through the user login module and acquire the management authority of the user interface and the purchasing authority of the commodity information of the merchant interface;
the pushing module is used for detecting a user login module and detecting the behavior that a user enters a merchant interface through the user login module, and the pushing module acquires shopping information of the user;
the pushing module comprises a shopping information acquisition module and an evaluation information acquisition module, wherein:
the shopping information acquisition module is used for connecting a user interface and acquiring historical shopping information of a user;
the evaluation information acquisition module is used for connecting the user interface and acquiring historical evaluation information of the user;
the system further comprises:
the first-level pushing module is used for carrying out first-level pushing on the associated commodities according to the associated information acquired by the pushing module;
the browsing duration identification module is used for identifying duration information of the single-class commodities browsed by the user;
the time length comparison module is used for presetting a system time threshold value, receiving the time for the browsing time length recognition module to detect that the user browses the single-type commodities, comparing the browsing time length with the system time threshold value, judging whether the time threshold value is reached, if the result is yes, performing secondary pushing, and if the result is no, performing continuous detection on the browsing time length;
the commodity fine pushing module is used for receiving the judgment information of the time length comparison module, detecting the category of the browsed commodities and matching the browsed commodities with the commodities of the same type when the judgment result is yes;
the price screening module is used for detecting the price information of the commodity reaching the browsing time threshold value of the user, screening the price of the commodity reaching the browsing time threshold value, and determining the upper price commodity and the lower price commodity;
and the secondary pushing module is used for receiving the upper price commodity and the lower price commodity information of the general price selecting module and carrying out secondary pushing on the commodity information.
Preferably, the pushing of the commodities by the primary pushing module specifically comprises:
according to the user shopping information acquired by the received shopping information acquisition module, identifying the last shopping type of the user historical shopping, identifying the share ratio maximum shopping in the user historical shopping types, carrying out fuzzy identification on associated commodities on the last shopping type and the historical shopping share ratio maximum shopping type, and determining historical shopping associated commodities;
according to the historical user evaluation information acquired by the received evaluation information acquisition module, carrying out sentiment classification on the evaluation information, establishing a product attribute sentiment label, capturing a bidirectional relation in a sentence by adopting a language training algorithm frame, using a multi-task training target of a language training model, determining commodity sentiment by running a self-supervision learning method on the basis of massive linguistic data, identifying an interested commodity, carrying out fuzzy identification on the interested commodity, and determining a historical comment associated commodity.
Preferably, the browsing duration identification module detects commodity information browsed by a user on a commodity information display interface of a merchant interface, records commodity types, records commodity browsing duration of the type, counts commodity browsing interfaces logged in the merchant interface at this time, distinguishes the categories of browsed commodities, and performs superposition statistics on browsing durations of the commodities of the same category.
Preferably, price screening module sets up price recommendation dispersion threshold value, and price screening module receives and reaches and browses time length threshold value commodity price information, makes statistics of and calculates commodity price dispersion to commodity price, judges commodity price dispersion and the big or small relation of system's preset dispersion threshold value, is greater than the system's preset dispersion threshold value when browsing commodity dispersion, carries out the propelling movement of next price commodity, is less than the system's preset dispersion threshold value when browsing commodity dispersion, carries out the propelling movement of upper price commodity.
Preferably, the merchant interface is a commodity information display interface and includes a further commodity detailed information interface, specifically including commodity price information, category information, function and specification information, and commodity affiliation company information, and the merchant interface at least includes commodity information of one merchant.
Preferably, the system further comprises a feedback module for receiving feedback information of the user for canceling the pushed commodity by the user.
Preferably, the feedback information of the feedback module includes: screening of price intervals, screening of similar commodities and suspension of the pushing function.
Has the advantages that:
1. this electronic commerce platform's operation system, cooperation through one-level propelling movement module and second grade propelling movement module is used, reach and carry out preliminary screening propelling movement and the accurate propelling movement of secondary to commodity, thereby effectively improve the propelling movement effect of commodity, and carry out the commodity propelling movement according to user historical information or browsing information, thereby effectively guarantee the accuracy of commodity propelling movement, avoid arousing customer's reaction, whole system intelligence propelling movement, effectively optimize commerce platform's operation, the operation cost of commodity platform is reduced, improve commerce platform's operation effect.
2. According to the operation system of the electronic commerce platform, historical shopping associated commodities are determined according to historical shopping information of a user through the primary pushing module, product attribute emotional tags are established according to historical evaluation information of the user, interested commodities are identified, fuzzy identification of the associated commodities is carried out on the interested commodities, historical comment associated commodities are determined, accordingly, accuracy and relevance of primary commodity pushing are achieved, pushing resource waste caused by pushing of useless information is avoided, and shopping experience and shopping efficiency of the user are effectively improved.
3. This operation system of electronic commerce platform carries out the propelling movement of upper price commodity and next price commodity to browsing commodity through second grade propelling movement module, carries out the interval propelling movement of intelligence price according to browsing commodity, makes the user compare like commodity more easily, improves the screening effect to commodity, reduces user's seek time, guarantees the more accurate of the commodity of propelling movement simultaneously, and the price of propelling movement commodity is more intelligent.
4. This electronic commerce platform's operation system, through the screening of feedback module to price interval, the screening of like commodity and the pause of this propelling movement function, further improve user's use and experience, make this operation system cater to user's demand more, further improve this commerce platform's operation effect.
Drawings
FIG. 1 is a system block diagram of a one-level push state according to the present invention;
fig. 2 is a schematic diagram of a system module of a two-stage push state according to the present invention.
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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, an operation system of an e-commerce platform includes a merchant interface and a user interface, where the merchant interface is used for displaying merchant commodities, the user interface is used for managing user information, a user binds the user information through a registered account, and the account information includes identity information, shopping information, and user comment information, where the operation system further includes:
the user login module is used for logging in a business platform by a client, entering a user interface through the user login module and acquiring the management authority of the user interface and the purchasing authority of the commodity information of a merchant interface;
the pushing module is used for detecting a user login module and detecting the behavior that a user enters a merchant interface through the user login module, and the pushing module acquires shopping information of the user;
the pushing module comprises a shopping information acquisition module and an evaluation information acquisition module, wherein:
the shopping information acquisition module is used for connecting a user interface and acquiring historical shopping information of a user;
the evaluation information acquisition module is used for connecting the user interface and acquiring historical evaluation information of the user;
the system further comprises:
the first-level pushing module is used for carrying out first-level pushing on the associated commodities according to the associated information acquired by the pushing module;
the method specifically comprises the following steps:
the system comprises a user interface, a merchant interface and a user login module, wherein the user interface is used for logging in the user interface through the user login module, acquiring the management authority of the user interface and the purchase authority of commodity information of the merchant interface, and browsing the commodity information on the merchant interface;
s2, the pushing module detects a user login module, detects the behavior that a user enters a merchant interface through the user login module, and the shopping information acquisition module is used for connecting a user interface and acquiring historical shopping information of the user; the evaluation information acquisition module is used for connecting the user interface and acquiring historical evaluation information of the user;
s3, the primary pushing module identifies the last shopping type of the historical shopping of the user according to the shopping information of the user acquired by the received shopping information acquiring module, identifies the share ratio maximum shopping in the historical shopping types of the user, performs fuzzy identification on associated commodities on the last shopping type and the historical shopping share ratio maximum shopping type, and determines historical shopping associated commodities;
s4, the primary pushing module carries out sentiment classification on the evaluation information according to the historical evaluation information of the user acquired by the received evaluation information acquisition module, establishes a product attribute sentiment label, captures a bidirectional relation in a sentence by adopting a language training algorithm frame, uses a multi-task training target of a language training model, determines the sentiment of the commodity by running a self-supervision learning method on the basis of massive linguistic data, identifies the interested commodity, carries out fuzzy identification on the interested commodity and determines the historical comment associated commodity;
and S4, the primary pushing module pushes primary commodities according to the commodity information matched with the commodity information.
Example two
Referring to fig. 2, further on the basis of the first embodiment, the system includes:
the browsing duration identification module is used for identifying duration information of the single-class commodities browsed by the user;
the time length comparison module is used for presetting a system time threshold value, receiving the time for the browsing time length recognition module to detect that the user browses the single-type commodities, comparing the browsing time length with the system time threshold value, judging whether the time threshold value is reached, if the result is yes, performing secondary pushing, and if the result is no, performing continuous detection on the browsing time length;
the commodity fine pushing module is used for receiving the judgment information of the time length comparison module, detecting the category of the browsed commodities and matching the browsed commodities with the commodities of the same type when the judgment result is yes;
the price screening module is used for detecting the commodity price information of the user reaching the browsing time threshold, screening the commodity price reaching the browsing time threshold, and determining the upper price commodity and the lower price commodity;
and the second-stage pushing module is used for receiving the upper price commodity information and the lower price commodity information of the general price selection module and pushing the commodity information for the second time.
In an embodiment, the pushing of the commodity by the primary pushing module specifically comprises:
identifying the last shopping type of the historical shopping of the user according to the shopping information of the user acquired by the received shopping information acquisition module, identifying the share ratio maximum shopping in the historical shopping types of the user, carrying out fuzzy identification on the associated commodities of the last shopping type and the historical shopping share ratio maximum shopping type, and determining the historical shopping associated commodities;
according to the historical user evaluation information acquired by the received evaluation information acquisition module, carrying out sentiment classification on the evaluation information, establishing a product attribute sentiment label, capturing a bidirectional relation in a sentence by adopting a language training algorithm frame, using a multi-task training target of a language training model, determining commodity sentiment by running a self-supervision learning method on the basis of massive linguistic data, identifying an interested commodity, carrying out fuzzy identification on the interested commodity, and determining a historical comment associated commodity.
In the embodiment, the browsing duration recognition module detects the information of the commodities browsed by the user on the commodity information display interface of the merchant interface, records the types of the commodities, records the browsing duration of the commodities, counts the commodity browsing interface of the merchant interface at this time, distinguishes the categories of the browsed commodities, and performs superposition statistics on the browsing durations of the commodities of the same category.
In the embodiment, price screening module sets up price recommendation dispersion threshold value, price screening module receives and reaches and browses time length threshold value commodity price information, make statistics of and calculate commodity price dispersion to commodity price, judge commodity price dispersion and the big or small relation of system's preset dispersion threshold value, when browsing commodity dispersion and being greater than system's preset dispersion threshold value, carry out the propelling movement of next price commodity, when browsing commodity dispersion and being less than system's preset dispersion threshold value, carry out the propelling movement of upper price commodity.
In an embodiment, the merchant interface is a commodity information display interface and comprises a further commodity detailed information interface, specifically comprising commodity price information, category information, function and specification information and commodity affiliation company information, and the merchant interface at least comprises commodity information of one merchant.
In an embodiment, the system further comprises a feedback module for receiving feedback information of the user, and the feedback information is used for canceling the pushed commodity by the user.
In an embodiment, the feedback information of the feedback module includes: screening of price intervals, screening of similar commodities and suspension of the pushing function.
The specific pushing process comprises the following steps:
d1, a browsing duration identification module detects commodity browsing information of a user on a commodity information display interface of a merchant interface, records commodity types, records commodity browsing duration of the types, counts the commodity browsing interface of the current merchant interface, distinguishes the types of the browsed commodities, and carries out superposition statistics on the browsing durations of the commodities of the same types;
d2, a time length comparison module is used for presetting a system time threshold value, the time length comparison module receives the time for the browsing time length recognition module to detect the single-class commodity browsing time of the user, compares the browsing time with the system time threshold value, judges whether the time threshold value is reached, if the result is yes, carries out D3, and if the result is no, carries out D1;
d3, the commodity fine pushing module receives the time length comparison module to judge information, detects the category of the browsed commodities and performs commodity matching of the same type on the browsed commodities;
d4, setting a price recommendation dispersion threshold value by the price screening module, receiving the commodity price information reaching the browsing time threshold value by the price screening module, counting the commodity price, calculating the commodity price dispersion, judging the relationship between the commodity price dispersion and the system preset dispersion threshold value,
d5, when the dispersion of the browsed commodities is judged to be larger than a system preset dispersion threshold, pushing the commodities with lower prices;
and D6, when the dispersion of the browsed commodities is judged to be smaller than a preset dispersion threshold value of the system, pushing the upper price commodities.
And D7, the user inputs feedback information through the feedback module to cancel the pushed commodities, including the screening of the price interval, the screening of similar commodities and the suspension of the pushing function.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The utility model provides an operation system of electronic commerce platform, its characterized in that includes trade company interface and user interface, and trade company interface is used for the show of trade company's commodity, and user interface is used for user information's management, and the user binds user information through registering the account number, and account number information includes identity information, shopping information and user comment information, wherein still includes:
the user login module is used for logging in a business platform by a client, entering a user interface through the user login module, and acquiring the management authority of the user interface and the purchasing authority of the commodity information of a merchant interface;
the pushing module is used for detecting a user login module and detecting the behavior that a user enters a merchant interface through the user login module, and the pushing module acquires shopping information of the user;
the pushing module comprises a shopping information acquisition module and an evaluation information acquisition module, wherein:
the shopping information acquisition module is used for connecting a user interface and acquiring historical shopping information of a user;
the evaluation information acquisition module is used for connecting the user interface and acquiring historical evaluation information of the user;
the system further comprises:
the first-level pushing module is used for carrying out first-level pushing on the associated commodities according to the associated information acquired by the pushing module;
the browsing duration identification module is used for identifying duration information of the single-class commodities browsed by the user;
the time length comparison module is used for presetting a system time threshold value, receiving the time for the browsing time length recognition module to detect that the user browses the single-type commodities, comparing the browsing time length with the system time threshold value, judging whether the time threshold value is reached, if the result is yes, performing secondary pushing, and if the result is no, performing continuous detection on the browsing time length;
the commodity fine pushing module is used for receiving the judgment information of the time length comparison module, detecting the category of the browsed commodities and matching the browsed commodities with the commodities of the same type when the judgment result is yes;
the price screening module is used for detecting the commodity price information of the user reaching the browsing time threshold, screening the commodity price reaching the browsing time threshold, and determining the upper price commodity and the lower price commodity;
and the second-stage pushing module is used for receiving the upper price commodity information and the lower price commodity information of the general price selection module and pushing the commodity information for the second time.
2. The system of claim 1, wherein the electronic commerce platform comprises: the first-level pushing module pushes commodities and specifically comprises the following steps:
identifying the last shopping type of the historical shopping of the user according to the shopping information of the user acquired by the received shopping information acquisition module, identifying the share ratio maximum shopping in the historical shopping types of the user, carrying out fuzzy identification on the associated commodities of the last shopping type and the historical shopping share ratio maximum shopping type, and determining the historical shopping associated commodities;
according to the historical user evaluation information acquired by the received evaluation information acquisition module, carrying out sentiment classification on the evaluation information, establishing a product attribute sentiment label, capturing a bidirectional relation in a sentence by adopting a language training algorithm frame, using a multi-task training target of a language training model, determining commodity sentiment by running a self-supervision learning method on the basis of massive linguistic data, identifying an interested commodity, carrying out fuzzy identification on the interested commodity, and determining a historical comment associated commodity.
3. The system of claim 1, wherein the electronic commerce platform comprises: the browsing duration recognition module detects the commodity information browsed by a user on a commodity information display interface of a merchant interface, records the commodity types, records the commodity browsing duration of the commodities, counts the commodity browsing interface of the merchant interface at this time, distinguishes the types of the browsed commodities, and performs superposition statistics on the browsing durations of the commodities of the same type.
4. The system of claim 1, wherein the electronic commerce platform comprises: price screening module sets up price recommendation dispersion threshold value, and price screening module receives and reaches and browses time length threshold value commodity price information, makes statistics of and calculates commodity price dispersion to commodity price, judges commodity price dispersion and the system and predetermines dispersion threshold value size relation, is greater than the system and predetermines the dispersion threshold value when browsing commodity dispersion, carries out the propelling movement of next price commodity, is less than the system and predetermines the dispersion threshold value when browsing commodity dispersion, carries out the propelling movement of upper price commodity.
5. The system of claim 1, wherein the electronic commerce platform comprises: the merchant interface is a commodity information display interface and comprises a further commodity detailed information interface, specifically comprises commodity price information, category information, function and specification information and commodity affiliation company information, and at least comprises commodity information of one merchant.
6. The system of claim 1, wherein the electronic commerce platform comprises: the system also comprises a feedback module used for receiving feedback information of the user and canceling the pushed commodity by the user.
7. The system of claim 6, wherein the electronic commerce platform comprises: the feedback information of the feedback module comprises: screening of price intervals, screening of similar commodities and suspension of the pushing function.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211165467.2A CN115545826A (en) | 2022-09-23 | 2022-09-23 | Operation system of electronic commerce platform |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211165467.2A CN115545826A (en) | 2022-09-23 | 2022-09-23 | Operation system of electronic commerce platform |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116128600A (en) * | 2023-01-31 | 2023-05-16 | 读书郎教育科技有限公司 | Recommendation information generation method based on AI |
| CN116433336A (en) * | 2023-06-13 | 2023-07-14 | 北京易享信息技术有限公司 | User experience evaluating method and system based on multiple databases |
| CN116452303A (en) * | 2023-06-14 | 2023-07-18 | 深圳市诚识科技有限公司 | Electronic commerce data management method based on big data |
| CN116681490A (en) * | 2023-06-13 | 2023-09-01 | 广东七洲科技股份有限公司 | Information recommendation method based on identity authentication |
| CN117835170A (en) * | 2023-10-16 | 2024-04-05 | 深圳市天一泓科技有限公司 | Intelligent short message sending method and system based on short message template |
-
2022
- 2022-09-23 CN CN202211165467.2A patent/CN115545826A/en not_active Withdrawn
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116128600A (en) * | 2023-01-31 | 2023-05-16 | 读书郎教育科技有限公司 | Recommendation information generation method based on AI |
| CN116433336A (en) * | 2023-06-13 | 2023-07-14 | 北京易享信息技术有限公司 | User experience evaluating method and system based on multiple databases |
| CN116681490A (en) * | 2023-06-13 | 2023-09-01 | 广东七洲科技股份有限公司 | Information recommendation method based on identity authentication |
| CN116681490B (en) * | 2023-06-13 | 2024-02-23 | 广东七洲科技股份有限公司 | Information recommendation method based on identity authentication |
| CN116452303A (en) * | 2023-06-14 | 2023-07-18 | 深圳市诚识科技有限公司 | Electronic commerce data management method based on big data |
| CN116452303B (en) * | 2023-06-14 | 2023-10-03 | 深圳市诚识科技有限公司 | Electronic commerce data management method based on big data |
| CN117835170A (en) * | 2023-10-16 | 2024-04-05 | 深圳市天一泓科技有限公司 | Intelligent short message sending method and system based on short message template |
| CN117835170B (en) * | 2023-10-16 | 2024-10-01 | 深圳市天一泓科技有限公司 | Intelligent short message sending method and system based on short message template |
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