CN111861601A - Electronic commerce recommendation system - Google Patents
Electronic commerce recommendation system Download PDFInfo
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- CN111861601A CN111861601A CN201910338897.1A CN201910338897A CN111861601A CN 111861601 A CN111861601 A CN 111861601A CN 201910338897 A CN201910338897 A CN 201910338897A CN 111861601 A CN111861601 A CN 111861601A
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Abstract
The invention relates to the technical field of e-commerce services, in particular to an e-commerce recommendation system which comprises a recommendation platform, a cloud server and a client; the recommendation platform comprises six parts, namely a right management module, a shopping management module, a basic information management module, a system management module, a recommendation module and an inquiry management module; a remote communication module is arranged in the recommendation system, and the recommendation system is connected with the cloud server through the remote communication module; the cloud server is in communication connection with the client. The electronic commerce recommendation system is disclosed, through hot-sell commodity recommendation and new commodity recommendation, when a user logs in, the system can automatically recommend hot-sell and new commodities so as to be convenient for the user to select, and the system can recommend the commodities marked by the user, in addition, the system can intercept part of the commodities for recommendation according to the browsing record of the user, and therefore unnecessary commodities are prevented from appearing in the operation view of the user.
Description
Technical Field
The invention relates to the technical field of e-commerce services, in particular to an e-commerce recommendation system.
Background
In the era of electronic commerce, information is more normalized, customers dominate commodity transactions, so that the loyalty of customers becomes lower and lower, which is also a problem to be considered by enterprise managers, and although experts and scholars have much research on recommendation systems, the application of the recommendation systems in electronic commerce is still in the early stage, so that the research on electronic commerce push-to-store systems is an urgent matter.
With the fact that competition of electronic websites is more and more intense, the intense competition promotes the development of an electronic commerce recommendation system, the electronic commerce recommendation system is concerned by more and more websites due to the advantages of individuality, pertinence and the like, but the existing electronic commerce recommendation system can frequently recommend useless commodities in the using process and harass users, and therefore the electronic commerce recommendation system is provided.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides the e-commerce recommendation system which has the advantage of screening and recommending commodities and solves the problem that the existing e-commerce recommendation system frequently recommends useless commodities and harasses users in the using process.
The invention provides the following technical scheme: an electronic commerce recommendation system comprises a recommendation platform, a cloud server and a client; the recommendation platform comprises six parts, namely a right management module, a shopping management module, a basic information management module, a system management module, a recommendation module and an inquiry management module;
a remote communication module is arranged in the recommendation system, and the recommendation system is connected with the cloud server through the remote communication module; the cloud server is in communication connection with the client, transmits the instruction issued by the client into the cloud server and forwards the instruction to the recommendation system for processing;
The authority management module comprises a member registration unit, a login unit, an authority distribution unit and a logout unit; the member registration unit is used for registering members; the login unit is used for account login; the authority distribution unit is used for the administrator to distribute the authority to the users;
the shopping management module comprises a searching unit, a shopping adding unit, a commodity updating unit and a commodity evaluating unit; the searching unit is used for searching commodities in the system; the purchase unit is used for selecting and purchasing commodities; the commodity updating unit is used for updating the commodity catalog and information; the commodity evaluation unit is used for evaluating commodities;
the basic information management module comprises a commodity management unit, an announcement management unit, an order management unit and a category management unit; the commodity management unit is used for deleting and modifying commodities in the database by a system administrator; the notice management unit is used for deleting and modifying the notice information by a system administrator; the order management unit is used for deleting and modifying the order information by the administrator; the category management unit is used for a system administrator to carry out classification management on the commodities.
Preferably, the system management module comprises a user management unit and a right management unit, the user management unit is used for a system administrator to manage user information, and the right management unit is used for distributing right and recovering right to a user.
Preferably, the recommending module comprises hot commodity recommendation and new commodity recommendation and is used for recommending commodities for the user.
Preferably, the query management module comprises a fuzzy query unit and a category query unit, the fuzzy query unit is used for searching for the commodities in the system by querying part of information of the commodities by a user, and the category query unit is used for searching for the commodities in a classified form.
The recommendation method of the e-commerce recommendation system comprises the following operation processes:
s1, the user logs in the recommendation system, after searching for commodities in the system, the system collects browsing records of the user, when the user enters the commodity searching again, the system identifies the searched commodities, checks whether the records exist, and automatically collects the browsing records of the user on the commodities if the records do not exist;
s2, if records exist, the system actively pays attention to and marks the commodities, the system detects the quantity of marked commodities as the browsing times are more and the labels of the commodities are more, if the mark value of the searched commodity is smaller than a certain rated value, the attention to the commodity is deleted, then the label of the commodity is detected, if the mark value of the searched commodity is larger than the certain rated value, the label of the commodity is directly detected, if the label of the commodity has the remark of a user, the related commodity is directly updated, finally the similar commodity is recommended, and if the label of the commodity does not have the remark of the user, the similar commodity is recommended according to the remarks of other users.
Preferably, by browsing the commodities and making remarks on some commodities, the system automatically recommends the marked commodities when browsing the commodities next time.
Preferably, when the marked value of the commodity is lower than a certain value, the commodity is not required by the user, so that the attention to the commodity is removed, if the user continuously browses the commodity, the marked value of the commodity is increased, and once the marked value of the commodity reaches a certain rated value, the system automatically pays attention to and recommends the commodity.
Compared with the prior art, the invention has the following beneficial effects:
this electronic commerce recommendation system through hot commodity recommendation and new commodity recommendation for the commodity of hot commodity and new commodity can independently be recommended to the system when the user logs in, so that the user can select, and the commodity after the system is inside to the user mark is recommended, the system is recommended according to user's browsing record intercepting part commodity in addition, so avoid unnecessary commodity to appear in user's operation sight, the administrator replies through the evaluation that the commodity evaluation unit proposed to the user, and revise recommending commodity, thereby improve user's experience sense.
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FIG. 1 is a system diagram of the present invention;
FIG. 2 is a flowchart of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described below clearly and completely with reference to the accompanying drawings of the embodiments of the present disclosure. It is to be understood that the described embodiments are only a few embodiments of the present disclosure, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the disclosure without any inventive step, are within the scope of protection of the disclosure.
Unless otherwise defined, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this disclosure belongs. The use of the word "comprising" or "comprises", and the like, in this disclosure is intended to mean that the elements or items listed before that word, include the elements or items listed after that word, and their equivalents, without excluding other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may also include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
To maintain the following description of the embodiments of the present disclosure clear and concise, a detailed description of known functions and known components have been omitted from the present disclosure.
Referring to fig. 1-2, an e-commerce recommendation system includes a recommendation platform, a cloud server, and a client; the recommendation platform comprises six parts, namely a right management module, a shopping management module, a basic information management module, a system management module, a recommendation module and an inquiry management module;
a remote communication module is arranged in the recommendation system, and the recommendation system is connected with the cloud server through the remote communication module; the cloud server is in communication connection with the client, transmits the instruction issued by the client into the cloud server and forwards the instruction to the recommendation system for processing;
the authority management module comprises a member registration unit, a login unit, an authority distribution unit and a logout unit; the member registration unit is used for registering members; the login unit is used for account login; the authority distribution unit is used for the administrator to distribute the authority to the users;
the shopping management module comprises a searching unit, a shopping adding unit, a commodity updating unit and a commodity evaluating unit; the searching unit is used for searching commodities in the system; the purchase unit is used for selecting and purchasing commodities; the commodity updating unit is used for updating the commodity catalog and information; the commodity evaluation unit is used for evaluating commodities, and a manager replies to the evaluation proposed by the user through the commodity evaluation unit and modifies the recommended commodities, so that the experience of the user is improved;
The basic information management module comprises a commodity management unit, an announcement management unit, an order management unit and a category management unit; the commodity management unit is used for deleting and modifying commodities in the database by a system administrator; the notice management unit is used for deleting and modifying the notice information by a system administrator; the order management unit is used for deleting and modifying the order information by the administrator; the category management unit is used for a system administrator to carry out classification management on the commodities.
In an optional embodiment, the system management module includes a user management unit and a right management unit, the user management unit is used for a system administrator to manage user information, and the right management unit is used for assigning right and recovering right to a user.
In an optional embodiment, the recommending module comprises hot-sell commodity recommendation and new commodity recommendation, and is used for recommending commodities for the user, and through the hot-sell commodity recommendation and the new commodity recommendation, the system can autonomously recommend hot-sell and new commodities when the user logs in, so that the user can select the commodities conveniently.
In an optional embodiment, the query management module includes a fuzzy query unit and a category query unit, the fuzzy query unit is used for a user to query partial information of the commodities to search for the commodities in the system, and the category query unit is used for searching for the commodities in a classified form.
The recommendation method of the e-commerce recommendation system comprises the following operation processes:
s1, the user logs in the recommendation system, after searching for commodities in the system, the system collects browsing records of the user, when the user enters the commodity searching again, the system identifies the searched commodities, checks whether the records exist, and automatically collects the browsing records of the user on the commodities if the records do not exist;
s2, if records exist, the system actively pays attention to and marks the commodities, the system detects the quantity of marked commodities as the browsing times are more and the labels of the commodities are more, if the mark value of the searched commodity is smaller than a certain rated value, the attention to the commodity is deleted, then the label of the commodity is detected, if the mark value of the searched commodity is larger than the certain rated value, the label of the commodity is directly detected, if the label of the commodity has the remark of a user, the related commodity is directly updated, finally the similar commodity is recommended, and if the label of the commodity does not have the remark of the user, the similar commodity is recommended according to the remarks of other users.
In an alternative embodiment, by browsing the items and annotating some of the items, the system automatically recommends the annotated items the next time the item is browsed.
In an alternative embodiment, when the tagged value of an item is below a certain value, it is not desired by the user, and therefore the item is removed from the focus, if the user continues to browse the item, the tagged value of the item is increased, and once the tagged value of the item reaches a certain nominal value, the system automatically focuses on and recommends the item.
The above embodiments are only exemplary embodiments of the present invention, and are not intended to limit the present invention, and the scope of the present invention is defined by the claims. Various modifications and equivalents may be made by those skilled in the art within the spirit and scope of the present invention, and such modifications and equivalents should also be considered as falling within the scope of the present invention.
Claims (7)
1. An electronic commerce recommendation system comprises a recommendation platform, a cloud server and a client; the recommendation platform comprises six parts, namely a right management module, a shopping management module, a basic information management module, a system management module, a recommendation module and an inquiry management module;
a remote communication module is arranged in the recommendation system, and the recommendation system is connected with the cloud server through the remote communication module; the cloud server is in communication connection with the client, transmits the instruction issued by the client into the cloud server and forwards the instruction to the recommendation system for processing;
The authority management module comprises a member registration unit, a login unit, an authority distribution unit and a logout unit; the member registration unit is used for registering members; the login unit is used for account login; the authority distribution unit is used for the administrator to distribute the authority to the users;
the shopping management module comprises a searching unit, a shopping adding unit, a commodity updating unit and a commodity evaluating unit; the searching unit is used for searching commodities in the system; the purchase unit is used for selecting and purchasing commodities; the commodity updating unit is used for updating the commodity catalog and information; the commodity evaluation unit is used for evaluating commodities;
the basic information management module comprises a commodity management unit, an announcement management unit, an order management unit and a category management unit; the commodity management unit is used for deleting and modifying commodities in the database by a system administrator; the notice management unit is used for deleting and modifying the notice information by a system administrator; the order management unit is used for deleting and modifying the order information by the administrator; the category management unit is used for a system administrator to carry out classification management on the commodities.
2. The system of claim 1, wherein: the system management module comprises a user management unit and an authority management unit, wherein the user management unit is used for a system administrator to manage user information, and the authority management unit is used for distributing authority to users and recovering the authority.
3. The system of claim 1, wherein: the recommending module comprises hot commodity recommending and new commodity recommending and is used for recommending commodities for users.
4. The system of claim 1, wherein: the query management module comprises a fuzzy query unit and a category query unit, the fuzzy query unit is used for searching commodities in the system by querying part of information of the commodities by a user, and the category query unit is used for searching the commodities in a classified mode.
5. The recommendation method of the e-commerce recommendation system as claimed in claim 1, wherein the operation process is as follows:
s1, the user logs in the recommendation system, after searching for commodities in the system, the system collects browsing records of the user, when the user enters the commodity searching again, the system identifies the searched commodities, checks whether the records exist, and automatically collects the browsing records of the user on the commodities if the records do not exist;
s2, if records exist, the system actively pays attention to and marks the commodities, the system detects the quantity of marked commodities as the browsing times are more and the labels of the commodities are more, if the mark value of the searched commodity is smaller than a certain rated value, the attention to the commodity is deleted, then the label of the commodity is detected, if the mark value of the searched commodity is larger than the certain rated value, the label of the commodity is directly detected, if the label of the commodity has the remark of a user, the related commodity is directly updated, finally the similar commodity is recommended, and if the label of the commodity does not have the remark of the user, the similar commodity is recommended according to the remarks of other users.
6. The recommendation method of the e-commerce recommendation system as claimed in claim 5, wherein: by browsing the commodities and making remarks on some commodities, the system can automatically recommend marked commodities when browsing the commodities next time.
7. The recommendation method of the e-commerce recommendation system as claimed in claim 5, wherein: when the mark value of the commodity is lower than a certain value, the commodity is not required by the user, so that the attention of the commodity is canceled, if the user continuously browses the commodity, the mark value of the commodity is increased, and once the mark value of the commodity reaches a certain rated value, the system automatically pays attention to and recommends the commodity.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910338897.1A CN111861601A (en) | 2019-04-25 | 2019-04-25 | Electronic commerce recommendation system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910338897.1A CN111861601A (en) | 2019-04-25 | 2019-04-25 | Electronic commerce recommendation system |
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| CN111861601A true CN111861601A (en) | 2020-10-30 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114155030A (en) * | 2021-11-30 | 2022-03-08 | 惠州市鑫吉顺电子实业有限公司 | Multidimensional sharing service platform based on big data and marketing management system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114155030A (en) * | 2021-11-30 | 2022-03-08 | 惠州市鑫吉顺电子实业有限公司 | Multidimensional sharing service platform based on big data and marketing management system |
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