CN114445174A - Online furniture shopping classification system - Google Patents

Online furniture shopping classification system Download PDF

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Publication number
CN114445174A
CN114445174A CN202111617669.1A CN202111617669A CN114445174A CN 114445174 A CN114445174 A CN 114445174A CN 202111617669 A CN202111617669 A CN 202111617669A CN 114445174 A CN114445174 A CN 114445174A
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China
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information
furniture
module
user
commodity
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CN202111617669.1A
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Chinese (zh)
Inventor
石少华
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Suzhou Youjia Tesco Network Technology Co ltd
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Suzhou Youjia Tesco Network Technology Co ltd
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Priority to CN202111617669.1A priority Critical patent/CN114445174A/en
Publication of CN114445174A publication Critical patent/CN114445174A/en
Withdrawn legal-status Critical Current

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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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/334—Query execution
    • G06F16/3344—Query execution using natural language analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • 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]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders

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  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Finance (AREA)
  • Accounting & Taxation (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Development Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • General Engineering & Computer Science (AREA)
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  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
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  • Bioinformatics & Computational Biology (AREA)
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  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
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Abstract

The invention discloses an online furniture shopping classification system, belonging to the technical field of online shopping, comprising a classification unit, a classification unit and a classification unit, wherein the classification unit is used for subdividing furniture categories; the voice acquisition unit is used for acquiring, identifying and converting voice data of a user into characters and quickly matching the characters with furniture subdivided in the classification unit to jump to a commodity page; the voice data of the user are collected, identified and converted into characters through the voice collection unit, and the characters are quickly matched with the furniture subdivided in the classification unit and jump to a commodity page, so that quick retrieval is realized, people can conveniently select the characters, and the operation of middle-aged and elderly people is facilitated.

Description

On-line furniture shopping classification system
Technical Field
The invention relates to the technical field of online shopping, in particular to an online furniture shopping classification system.
Background
The online shopping is that commodity information is searched through the Internet, a shopping request is sent through an electronic purchase order, then a private check account number or a credit card number is filled, and a manufacturer delivers goods through a mail order mode or delivers goods to the home through a delivery company.
The operation process of the existing shopping system is still complex in the using process, commodities are selected or searched in a searching mode according to commodity information displayed by the system, the operation of the mode is troublesome, the operation of middle-aged and old people is not facilitated, and meanwhile the system does not carry out multi-layer classification on the commodities, so that a user needs to spend a large amount of time to select the commodities in the system when purchasing the commodities.
Disclosure of Invention
The invention aims to provide an online furniture shopping classification system to solve the problems that the operation process proposed in the background technology is still complicated, operation is not beneficial to middle-aged and elderly people, and multilayer classification of commodities is not performed, so that a user needs to spend a large amount of time in the system to select the commodities when purchasing the commodities.
In order to achieve the purpose, the invention provides the following technical scheme: an online furniture shopping classification system comprises a classification unit, a display unit and a display unit, wherein the classification unit is used for subdividing furniture categories; the voice acquisition unit is used for acquiring, identifying and converting voice data of a user into characters and quickly matching the characters with furniture subdivided in the classification unit to jump to a commodity page; the supplier docking unit is used for realizing the docking of the system and the commodity information of a plurality of suppliers and providing an online sales platform for the suppliers; the order management unit is used for managing shopping orders; the information acquisition unit is used for acquiring the using behaviors and using information of the system users and comprehensively analyzing commodity information matched with the interests of the users; the pushing unit is used for pushing and displaying the commodity information obtained by analysis in the information acquisition unit; the system comprises a manager unit, a display unit and a display unit, wherein the manager unit is used for managing commodity and order information in the system; and the user database is used for storing system user information.
Preferably, the classification unit includes: the secondary classification module is used for subdividing all furniture commodities in the system according to the furniture functions and subdividing the subdivided furniture commodities again according to the furniture style; and the third-stage classification module is used for carrying out third subdivision according to the materials and the structures of the furniture commodities after the secondary subdivision in the second-stage classification module.
Preferably, the classification unit includes: the secondary classification module is used for subdividing all furniture commodities in the system according to the furniture functions and subdividing the subdivided furniture commodities again according to the furniture style; and the third-stage classification module is used for carrying out third subdivision according to the materials and the structures of the furniture commodities after the secondary subdivision in the second-stage classification module.
Preferably, the information acquisition unit includes: the input information acquisition module is used for acquiring data information input by a user in the system; the system comprises a browsing record acquisition module, a display module and a display module, wherein the browsing record acquisition module is used for acquiring furniture commodity information browsed by a user in the system, and the browsing record acquisition module also comprises time for browsing the commodity information and associated operation; and the analysis module is used for analyzing the user data information in the input information acquisition module and the browsing record acquisition module to obtain information related to user interest, and pushing the information to the pushing unit in a matching manner with the furniture commodities.
Preferably, the administrator unit includes a commodity modification module, which is used for an administrator to execute a function of maintaining commodity information to realize editing and modifying of commodity information parameters; the order management module is used for managing the trading orders of the system user, wherein the management comprises the modification of order information; the commodity browsing module is used for browsing and viewing the information of the furniture commodities in the system by the management source; and the login module is used for allowing an administrator to log in the administrator unit through identity authentication.
Preferably, the identity verification comprises account password verification and biological authentication, and the biological authentication comprises voice verification, fingerprint verification and face verification.
Preferably, the user database storage system user information includes user order information, basic information when the user registers, user account password information, and user address information.
Preferably, the input information acquisition module and the browsing record acquisition module extract feature information in the user data information in a clustering feature extraction manner.
Compared with the prior art, the invention has the beneficial effects that:
the voice data of the user are collected, identified and converted into characters through the voice collection unit, and the characters are quickly matched with the furniture subdivided in the classification unit and jump to a commodity page, so that quick retrieval is realized, people can conveniently select the characters, and the operation of middle-aged and elderly people is facilitated.
Drawings
FIG. 1 is a logic block diagram of the system of the present invention;
FIG. 2 is a logic block diagram of a sorting unit according to the present invention;
FIG. 3 is a logic block diagram of an information acquisition unit according to the present invention;
FIG. 4 is a logical block diagram of an administrator unit of the present invention.
In the figure: 1. a login module; 2. a classification unit; 3. a voice acquisition unit; 4. a supplier docking unit; 5. an order management unit; 6. a pushing unit; 7. an information acquisition unit; 8. an administrator unit; 9. a user database; 10. a secondary classification module; 11. a search module; 12. a commodity database; 13. a third-level classification module; 14. a sorting module; 15. an input information acquisition module; 16. an analysis module; 17. a browsing record acquisition module; 18. a commodity modification module; 19. a commodity browsing module; 20. and an order management module.
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.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Example (b):
referring to fig. 1-4, the present invention provides a technical solution: an on-line furniture shopping classification system comprises a classification unit 2 for subdividing furniture categories; the voice acquisition unit 3 is used for acquiring, identifying and converting voice data of a user into characters and quickly matching the characters with furniture subdivided in the classification unit 2 to jump to a commodity page; the supplier docking unit 4 is used for realizing the docking of the system and a plurality of suppliers to realize commodity information and providing an online sales platform for the suppliers; an order management unit 5 for managing shopping orders; the information acquisition unit 7 is used for acquiring the use behaviors and the use information of the system users and comprehensively analyzing the commodity information matched with the interests of the users; the pushing unit 6 is used for pushing and displaying the commodity information analyzed and obtained in the information acquisition unit 7; the administrator unit 8 is used for managing the commodity and order information in the system; and the user database 9 is used for storing system user information.
The classification unit 2 includes: the secondary classification module 10 is used for subdividing all furniture commodities in the system according to furniture functions, and subdividing the furniture commodities again according to the furniture style after subdivision; and the third-stage classification module 13 is used for carrying out third subdivision according to materials and structures according to the furniture commodities subdivided for the second time in the second-stage classification module 10.
The classification unit 2 further comprises: the searching module 11 is used for the user to input the key times to carry out fast matching search on the furniture commodities; the sorting module 14 is used for sorting the information of the furniture commodities according to the price, sales volume, good comment, bad comment, new product and explosive money of the furniture commodities; and the commodity database 12 is used for storing the furniture commodity information provided by the supplier and providing commodity information data support for the secondary classification module 10, the tertiary classification module 13, the search module 11 and the sequencing module 14.
The information acquisition unit 7 includes: the input information acquisition module 15 is used for acquiring data information input by a user in the system; a browsing record acquisition module 17, configured to acquire furniture commodity information browsed by a user in the system, where the browsing record acquisition module further includes time for browsing the commodity information and associated operations; and the analysis module 16 is used for analyzing the user data information input into the information acquisition module 15 and the browsing record acquisition module 17 to obtain information related to the interest of the user, and pushing the information to the pushing unit 6 in a matching manner with the furniture commodities.
The administrator unit 8 comprises a commodity modification module 18, which is used for an administrator to implement a function of maintaining commodity information to edit and modify commodity information parameters; the order management module 20 is used for managing the trade orders of the system users, wherein the management comprises the modification of order information; the commodity browsing module 19 is used for browsing and checking the information of the furniture commodities in the system by the management source; and the login module 1 is used for logging in the administrator unit 8 by the administrator through identity authentication.
The identity authentication comprises account password authentication and biological authentication, the biological authentication comprises voice authentication, fingerprint authentication and face authentication, the user database 9 stores system user information comprising user order information, basic information during user registration, user account password information and user address information, and the input information acquisition module 15 and the browsing record acquisition module 17 extract feature information in the user data information in a clustering feature extraction mode.
While there have been shown and described the fundamental principles and essential features of the invention and advantages thereof, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof; the present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.
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 (8)

1. The utility model provides an online furniture shopping classification system which characterized in that: comprises a classification unit (2) for subdividing furniture categories; the voice acquisition unit (3) is used for acquiring, identifying and converting voice data of a user into characters, and quickly matching the characters with furniture subdivided in the classification unit (2) to jump to a commodity page; the supplier docking unit (4) is used for realizing the docking of the system and a plurality of suppliers to realize commodity information and providing an online sales platform for the suppliers; an order management unit (5) for managing shopping orders; the information acquisition unit (7) is used for acquiring the use behaviors and the use information of the system users and comprehensively analyzing the commodity information matched with the interests of the users; the pushing unit (6) is used for pushing and displaying the commodity information analyzed and obtained in the information acquisition unit (7); the administrator unit (8) is used for managing the commodity and order information in the system; and the user database (9) is used for storing system user information.
2. The system of claim 1, wherein the system further comprises: the classification unit (2) comprises: the secondary classification module (10) is used for subdividing all furniture commodities in the system according to furniture functions and subdividing the subdivided furniture commodities again according to furniture styles; and the third-stage classification module (13) is used for carrying out third subdivision according to the materials and the structures of the furniture commodities after secondary subdivision in the second-stage classification module (10).
3. The system of claim 2, wherein the system further comprises: the classification unit (2) further comprises: the searching module (11) is used for inputting key times by a user to carry out quick matching search on the furniture commodities; the sorting module (14) is used for sorting the furniture commodity information according to the price, sales volume, good comment, bad comment, new product and explosive money of the furniture commodity; and the commodity database (12) is used for storing furniture commodity information provided by a supplier and providing commodity information data support for the secondary classification module (10), the tertiary classification module (13), the search module (11) and the sequencing module (14).
4. The system of claim 1, wherein the system further comprises: the information acquisition unit (7) comprises: the input information acquisition module (15) is used for acquiring data information input by a user in the system; the system comprises a browsing record acquisition module (17) used for acquiring the furniture commodity information browsed by a user in the system, wherein the browsing record acquisition module also comprises the time for browsing the commodity information and associated operation; and the analysis module (16) is used for analyzing the user data information input into the information acquisition module (15) and the browsing record acquisition module (17) to obtain information related to the interest of the user, and matching the information with the furniture commodities and pushing the information to the pushing unit (6).
5. The system of claim 1, wherein the system further comprises: the administrator unit (8) comprises a commodity modification module (18) which is used for an administrator to execute a function of maintaining commodity information to realize editing and modification of commodity information parameters; the order management module (20) is used for managing the trading orders of the system users, wherein the management comprises the modification of order information; the commodity browsing module (19) is used for browsing and checking the furniture commodity information in the system by the management source; and the login module (1) is used for logging in an administrator unit (8) by the administrator through identity authentication.
6. The system of claim 5, wherein the system further comprises: the identity authentication comprises account number password authentication and biological authentication, and the biological authentication comprises voice authentication, fingerprint authentication and face authentication.
7. The system of claim 1, wherein the system further comprises: the user database (9) stores system user information including user order information, basic information during user registration, user account password information and user address information.
8. The system of claim 4, wherein the system further comprises: the input information acquisition module (15) and the browsing record acquisition module (17) extract the characteristic information in the user data information in a clustering characteristic extraction mode.
CN202111617669.1A 2021-12-27 2021-12-27 Online furniture shopping classification system Withdrawn CN114445174A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111617669.1A CN114445174A (en) 2021-12-27 2021-12-27 Online furniture shopping classification system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111617669.1A CN114445174A (en) 2021-12-27 2021-12-27 Online furniture shopping classification system

Publications (1)

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CN114445174A true CN114445174A (en) 2022-05-06

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CN202111617669.1A Withdrawn CN114445174A (en) 2021-12-27 2021-12-27 Online furniture shopping classification system

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116052137A (en) * 2023-01-30 2023-05-02 北京化工大学 Deep learning-based classical furniture culture attribute identification method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116052137A (en) * 2023-01-30 2023-05-02 北京化工大学 Deep learning-based classical furniture culture attribute identification method and system
CN116052137B (en) * 2023-01-30 2024-01-30 北京化工大学 Deep learning-based classical furniture culture attribute identification method and system

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Application publication date: 20220506