CN111461781A - E-commerce user classification method, E-commerce user classification device and E-commerce user classification equipment - Google Patents
E-commerce user classification method, E-commerce user classification device and E-commerce user classification equipment Download PDFInfo
- Publication number
- CN111461781A CN111461781A CN202010247344.8A CN202010247344A CN111461781A CN 111461781 A CN111461781 A CN 111461781A CN 202010247344 A CN202010247344 A CN 202010247344A CN 111461781 A CN111461781 A CN 111461781A
- Authority
- CN
- China
- Prior art keywords
- commerce
- commodity
- label
- user
- users
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0203—Market surveys; Market polls
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Accounting & Taxation (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Bioinformatics & Cheminformatics (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Game Theory and Decision Science (AREA)
- Economics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Life Sciences & Earth Sciences (AREA)
Abstract
The invention discloses a classification method, a classification device and classification equipment for e-commerce users. Wherein the method comprises the following steps: the method comprises the steps of collecting the consumption demand of at least one e-commerce user on an e-commerce platform, obtaining the commodity category corresponding to the consumption demand of each e-commerce user, and labeling the commodity category corresponding to the consumption demand of each e-commerce user, wherein one commodity category corresponds to one label, the same commodity category corresponds to the same label, different commodity categories correspond to different label labels, and classifying each e-commerce user according to the label labels in association with the commodity category, wherein one classification corresponds to one label, the same classification corresponds to the same label, and different classifications correspond to different label labels. Through the mode, the classification of the electric business users according to the consumption requirements of the electric business users on the electric business platform can be realized.
Description
Technical Field
The invention relates to the technical field of e-commerce, in particular to a classification method, a classification device and classification equipment for e-commerce users.
Background
In recent years, with the progress of computer and network technologies, electronic commerce has been rapidly developed. The consumers can purchase psychographic commodities through the e-commerce platform without going out of home, and great convenience is brought to the life of the consumers.
However, the existing classification schemes for e-commerce users generally classify the e-commerce users according to the registration information of the e-commerce users on the e-commerce platform, and do not classify the e-commerce users according to the consumption demands of the e-commerce users on the e-commerce platform.
Disclosure of Invention
In view of the above, the present invention provides a method, an apparatus, and a device for classifying e-commerce users, which can classify e-commerce users according to their consumption requirements on an e-commerce platform.
According to one aspect of the invention, a method for classifying e-commerce users is provided, which comprises the following steps: collecting the consumption demand of at least one e-commerce user on the e-commerce platform; acquiring a commodity category corresponding to the consumption demand of each e-commerce user; labeling the commodity category corresponding to the consumption demand of each e-commerce user; wherein, one commodity category corresponds to one label mark, the same commodity category corresponds to the same label mark, and different commodity categories correspond to different label marks; according to the label marks, classifying the commodity categories related to each electric commodity user; wherein one class corresponds to one label tag, the same class corresponds to the same label tag, and different classes correspond to different label tags.
Wherein the collecting of the consumer demand of at least one e-commerce user on the e-commerce platform comprises: the method comprises the steps of collecting consumption requirements of at least one e-commerce user on an e-commerce platform according to a behavior track of the at least one e-commerce user on the e-commerce platform.
Wherein, the obtaining of the commodity category corresponding to the consumption demand of each e-commerce user comprises: and extracting commodity keywords from the consumption requirements of each e-commerce user according to a preset commodity keyword extraction strategy, configuring a commodity set matched with the commodity keywords, and acquiring a commodity category corresponding to the consumption requirements of each e-commerce user according to the commodity set.
After the classifying, according to the label mark, the each e-commerce user associated with the merchandise category, the method further includes: and carrying out marketing on the classified E-commerce users in association with the label marks.
Wherein the marketing of the classified E-commerce users in association with the label mark comprises: and marketing the classified E-commerce users by associating the label marks in a mode of setting the classified E-commerce users to be visible in a classified grouping mode.
According to another aspect of the present invention, there is provided a sorting apparatus for e-commerce users, comprising: the system comprises an acquisition module, a marking module and a classification module; the acquisition module is used for acquiring the consumption demand of at least one e-commerce user on the e-commerce platform; the acquisition module is used for acquiring the commodity category corresponding to the consumption demand of each e-commerce user; the marking module is used for marking the commodity category corresponding to the consumption demand of each e-commerce user; wherein, one commodity category corresponds to one label mark, the same commodity category corresponds to the same label mark, and different commodity categories correspond to different label marks; the classification module is used for classifying the commodity categories related to each electric commercial user according to the label marks; wherein one class corresponds to one label tag, the same class corresponds to the same label tag, and different classes correspond to different label tags.
Wherein, the acquisition module is provided, specifically for: the method comprises the steps of collecting consumption requirements of at least one e-commerce user on an e-commerce platform according to a behavior track of the at least one e-commerce user on the e-commerce platform.
The obtaining module is specifically configured to: and extracting commodity keywords from the consumption requirements of each e-commerce user according to a preset commodity keyword extraction strategy, configuring a commodity set matched with the commodity keywords, and acquiring a commodity category corresponding to the consumption requirements of each e-commerce user according to the commodity set.
Wherein, the classification device of the E-commerce user further comprises: a marketing module; and the marketing module is used for carrying out marketing on the classified E-commerce users in association with the label marks.
Wherein, marketing module specifically is used for: and marketing the classified E-commerce users by associating the label marks in a mode of setting the classified E-commerce users to be visible in a classified grouping mode.
According to still another aspect of the present invention, there is provided a sorting apparatus of an e-commerce user, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any of the above-described e-commerce user categorization methods.
According to a further aspect of the present invention, there is provided a computer readable storage medium storing a computer program which, when executed by a processor, implements the method of classifying e-commerce users as described in any one of the above.
It can be found that, according to the above scheme, the consumption requirement of at least one e-commerce user on the e-commerce platform can be acquired, the commodity category corresponding to the consumption requirement of each e-commerce user can be acquired, and the commodity category corresponding to the consumption requirement of each e-commerce user can be labeled, wherein one commodity category corresponds to one label, the same commodity category corresponds to the same label, different commodity categories correspond to different label labels, and the classification of associating the commodity category can be performed on each e-commerce user according to the label labels, wherein one classification corresponds to one label, the same classification corresponds to the same label, and different classifications correspond to different label labels, so that the e-commerce users can be classified according to the consumption requirements of the e-commerce users on the e-commerce platform.
Further, according to the above scheme, the consumption demand of the at least one e-commerce user on the e-commerce platform can be collected according to the behavior track of the at least one e-commerce user on the e-commerce platform, so that the advantage of accuracy in collecting the consumption demand of the at least one e-commerce user on the e-commerce platform can be realized.
Further, according to the scheme, the commodity key words can be extracted from the consumption requirements of each e-commerce user according to a preset commodity key word extraction strategy, the commodity set matched with the commodity key words is configured, and the commodity category corresponding to the consumption requirements of each e-commerce user is obtained according to the commodity set.
Furthermore, the scheme can be used for marketing the classified E-commerce users in association with the label marks, so that the E-commerce commodity marketing with pertinence can be realized for the classified E-commerce users, the increase of the sale of the E-commerce commodities on the E-commerce platform is facilitated, and the user experience is good.
Furthermore, the scheme can adopt a mode of setting classified grouping visibility for the classified electric commercial users, and marketing of the label mark is associated with the classified electric commercial users, so that the advantage of realizing targeted electric commercial commodity marketing for the classified electric commercial users is realized, the sale of electric commercial commodities on the electric commercial platform is increased, and the user experience is better.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart illustrating an embodiment of a method for classifying E-commerce users according to the present invention;
FIG. 2 is a schematic flow chart diagram illustrating another embodiment of the method for classifying E-commerce users of the present invention;
FIG. 3 is a schematic structural diagram of an embodiment of the classification apparatus for E-commerce users of the present invention;
FIG. 4 is a schematic structural diagram of another embodiment of the classification device for E-commerce users of the present invention;
fig. 5 is a schematic structural diagram of an embodiment of the sorting device for e-commerce users of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be noted that the following examples are only illustrative of the present invention, and do not limit the scope of the present invention. Similarly, the following examples are only some but not all examples of the present invention, and all other examples obtained by those skilled in the art without any inventive work are within the scope of the present invention.
The invention provides a classification method of e-commerce users, which can classify the e-commerce users according to the consumption requirements of the e-commerce users on an e-commerce platform.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an embodiment of a classification method for e-commerce users according to the present invention. It should be noted that the method of the present invention is not limited to the flow sequence shown in fig. 1 if the results are substantially the same. As shown in fig. 1, the method comprises the steps of:
s101: the consumer demand of at least one e-commerce user on the e-commerce platform is collected.
Wherein, the collecting the consumption demand of at least one e-commerce user on the e-commerce platform may include:
the advantage of collecting the consumption demand of the at least one e-commerce user on the e-commerce platform according to the behavior track of the at least one e-commerce user on the e-commerce platform is that the accuracy of collecting the consumption demand of the at least one e-commerce user on the e-commerce platform can be achieved.
In this embodiment, the behavior trace of each e-commerce user may include consumption records, browsing records, collecting records, commodity records added to a shopping cart, and the like of the e-commerce user on the e-commerce platform, which is not limited in the present invention.
In this embodiment, the consumption requirement of the at least one e-commerce user on the e-commerce platform may be collected in a one-time manner, the consumption requirement of the at least one e-commerce user on the e-commerce platform may be collected in multiple times, the consumption requirement of the at least one e-commerce user on the e-commerce platform may be collected one by one, and the like, which is not limited in the present invention.
S102: and acquiring the commodity category corresponding to the consumption demand of each e-commerce user.
The obtaining of the commodity category corresponding to the consumption demand of each e-commerce user may include:
according to a preset commodity keyword extraction strategy, extracting commodity keywords from the consumption requirements of each e-commerce user, configuring a commodity set matched with the commodity keywords, and acquiring the commodity category corresponding to the consumption requirements of each e-commerce user according to the commodity set.
In this embodiment, the commodity category may be a commodity classification category of a household appliance, a mobile phone, a computer, a garment, a household article, a mother and baby article, a beauty article, a personal care article, a food, or the like, or a commodity classification category of a food, a garment, a shoe and hat, a daily article, furniture, a household appliance, a textile, a hardware and electrical appliance, a kitchen ware, or the like, or a commodity classification category of an elderly article, a middle-aged article, a young-aged article, a child and baby article, a women article, a men article, or the like, and the present invention is not limited.
In this embodiment, the commodity set may be a mobile phone, a computer, a garment, or the like, or may be a daily use article, a furniture, a household appliance, or the like, or may be a garment, a household article, a mother and baby article, a make-up article, a personal care article, a food, or the like, or may be a food, a garment, a shoe and hat, a daily use article, a furniture, a household appliance, or the like, or may be an article for old people, a middle-aged article, a young-aged article, a children, a baby article, or the like, which is not limited in the present invention.
S103: labeling the commodity category corresponding to the consumption demand of each e-commerce user; wherein, a commodity category corresponds to a label mark, the same commodity category corresponds to the same label mark, and different commodity categories correspond to different label marks.
In this embodiment, the label mark may be in a digital form, a graphic form, a text form, at least two of a digital form, a graphic form and a text form, and the like, which is not limited in the present invention.
S104: according to the label mark, classifying each E-commerce user by associating the commodity category; wherein one class corresponds to one label tag, the same class corresponds to the same label tag, and different classes correspond to different label tags.
After the classifying, according to the tag label, of the each e-commerce user in association with the category of the goods, the method may further include:
the classified E-commerce users are associated with the label mark for marketing, so that the classified E-commerce users can be targeted for E-commerce commodity marketing, the sale of E-commerce commodities on the E-commerce platform is increased, and the user experience is good.
It can be found that, in this embodiment, the consumption requirement of at least one e-commerce user on the e-commerce platform may be acquired, the commodity category corresponding to the consumption requirement of each e-commerce user may be acquired, and the commodity category corresponding to the consumption requirement of each e-commerce user may be labeled, where one commodity category corresponds to one label, the same commodity category corresponds to the same label, different commodity categories correspond to different label labels, and classification associating the commodity category may be performed on each e-commerce user according to the label, where one classification corresponds to one label, the same classification corresponds to the same label, and different classifications correspond to different label labels, so that the e-commerce users may be classified according to the consumption requirements of the e-commerce users on the e-commerce platform.
Further, in this embodiment, the consumption demand of the at least one e-commerce user on the e-commerce platform can be collected according to the behavior track of the at least one e-commerce user on the e-commerce platform, which has the advantage of being able to achieve the accuracy of collecting the consumption demand of the at least one e-commerce user on the e-commerce platform.
Further, in this embodiment, the commodity keyword may be extracted from the consumption demand of each e-commerce user according to a preset commodity keyword extraction policy, the commodity set matching the commodity keyword may be configured, and the commodity category corresponding to the consumption demand of each e-commerce user may be obtained according to the commodity set.
Referring to fig. 2, fig. 2 is a schematic flow chart of another embodiment of the classification method for e-commerce users according to the present invention. In this embodiment, the method includes the steps of:
s201: the consumer demand of at least one e-commerce user on the e-commerce platform is collected.
As described above in S101, further description is omitted here.
S202: and acquiring the commodity category corresponding to the consumption demand of each e-commerce user.
As described above in S102, further description is omitted here.
S203: labeling the commodity category corresponding to the consumption demand of each e-commerce user; wherein, a commodity category corresponds to a label mark, the same commodity category corresponds to the same label mark, and different commodity categories correspond to different label marks.
As described above in S103, which is not described herein.
S204: according to the label mark, classifying each E-commerce user by associating the commodity category; wherein one class corresponds to one label tag, the same class corresponds to the same label tag, and different classes correspond to different label tags.
As described above in S104, and will not be described herein.
S205: and carrying out marketing on the classified E-commerce users in association with the label marks.
Wherein the marketing of the classified e-commerce users in association with the label mark may include:
the classified E-commerce users are set to be visible in a classified grouping mode, and the classified E-commerce users are associated with the label marks for marketing, so that the advantage that targeted E-commerce commodity marketing can be performed on the classified E-commerce users is achieved, the increase of sale of E-commerce commodities on the E-commerce platform is facilitated, and the user experience is good.
It can be found that, in this embodiment, marketing associated with the tag mark can be performed on the classified e-commerce users, which has the advantages of being capable of realizing targeted e-commerce commodity marketing on the classified e-commerce users, being beneficial to increasing sales of e-commerce commodities on the e-commerce platform, and having good user experience.
Furthermore, in this embodiment, a classified and grouped visible mode may be set for the classified e-commerce users, and marketing associated with the tag mark may be performed for the classified e-commerce users, so that the advantage of enabling targeted e-commerce commodity marketing to be performed for the classified e-commerce users is achieved, which is beneficial to increase sales of e-commerce commodities on the e-commerce platform, and user experience is better.
The invention also provides a classification device of the e-commerce users, which can classify the e-commerce users according to the consumption requirements of the e-commerce users on the e-commerce platform.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an embodiment of the classification device for e-commerce users of the present invention. In this embodiment, the classification device 30 of the e-commerce user includes an acquisition module 31, an acquisition module 32, a marking module 33, and a classification module 34.
The collecting module 31 is used for collecting the consumption demand of at least one e-commerce user on the e-commerce platform.
The obtaining module 32 is configured to obtain the category of the commodity corresponding to the consumption demand of each e-commerce user.
The marking module 33 is configured to label the commodity category corresponding to the consumption demand of each e-commerce user; wherein, a commodity category corresponds to a label mark, the same commodity category corresponds to the same label mark, and different commodity categories correspond to different label marks.
The classification module 34 is configured to classify the each e-commerce user according to the label tag, wherein the classification is associated with the category of the goods; wherein one class corresponds to one label tag, the same class corresponds to the same label tag, and different classes correspond to different label tags.
Optionally, the acquisition module 31 may be specifically configured to:
and acquiring the consumption demand of at least one e-commerce user on the e-commerce platform according to the behavior track of the at least one e-commerce user on the e-commerce platform.
Optionally, the obtaining module 32 may be specifically configured to:
and extracting the commodity key words from the consumption requirements of each e-commerce user according to a preset commodity key word extraction strategy, configuring a commodity set matched with the commodity key words, and acquiring the commodity category corresponding to the consumption requirements of each e-commerce user according to the commodity set.
Referring to fig. 4, fig. 4 is a schematic structural diagram of another embodiment of the classification device for e-commerce users of the present invention. Different from the previous embodiment, the sorting apparatus 40 of the e-commerce user in this embodiment further includes a marketing module 41.
The marketing module 41 is used for marketing the classified electric business users in association with the label marks.
Optionally, the marketing module 41 may be specifically configured to:
and marketing the classified E-commerce users by associating the label marks in a mode of setting the classified group visible for the classified E-commerce users.
Each unit module of the classification device 30/40 of the e-commerce user can respectively execute the corresponding steps in the above method embodiments, so that the detailed description of each unit module is omitted here, and please refer to the description of the corresponding steps above.
The present invention further provides a sorting apparatus for e-commerce users, as shown in fig. 5, comprising: at least one processor 51; and a memory 52 communicatively coupled to the at least one processor 51; wherein the memory 52 stores instructions executable by the at least one processor 51, the instructions being executable by the at least one processor 51 to enable the at least one processor 51 to perform the above-mentioned e-commerce user classification method.
Wherein the memory 52 and the processor 51 are coupled in a bus, which may comprise any number of interconnected buses and bridges, which couple one or more of the various circuits of the processor 51 and the memory 52 together. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 51 is transmitted over a wireless medium via an antenna, which further receives the data and transmits the data to the processor 51.
The processor 51 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And the memory 52 may be used to store data used by the processor 51 in performing operations.
The present invention further provides a computer-readable storage medium storing a computer program. The computer program realizes the above-described method embodiments when executed by a processor.
It can be found that, according to the above scheme, the consumption requirement of at least one e-commerce user on the e-commerce platform can be acquired, the commodity category corresponding to the consumption requirement of each e-commerce user can be acquired, and the commodity category corresponding to the consumption requirement of each e-commerce user can be labeled, wherein one commodity category corresponds to one label, the same commodity category corresponds to the same label, different commodity categories correspond to different label labels, and the classification of associating the commodity category can be performed on each e-commerce user according to the label labels, wherein one classification corresponds to one label, the same classification corresponds to the same label, and different classifications correspond to different label labels, so that the e-commerce users can be classified according to the consumption requirements of the e-commerce users on the e-commerce platform.
Further, according to the above scheme, the consumption demand of the at least one e-commerce user on the e-commerce platform can be collected according to the behavior track of the at least one e-commerce user on the e-commerce platform, so that the advantage of accuracy in collecting the consumption demand of the at least one e-commerce user on the e-commerce platform can be realized.
Further, according to the scheme, the commodity key words can be extracted from the consumption requirements of each e-commerce user according to a preset commodity key word extraction strategy, the commodity set matched with the commodity key words is configured, and the commodity category corresponding to the consumption requirements of each e-commerce user is obtained according to the commodity set.
Furthermore, the scheme can be used for marketing the classified E-commerce users in association with the label marks, so that the E-commerce commodity marketing with pertinence can be realized for the classified E-commerce users, the increase of the sale of the E-commerce commodities on the E-commerce platform is facilitated, and the user experience is good.
Furthermore, the scheme can adopt a mode of setting classified grouping visibility for the classified electric commercial users, and marketing of the label mark is associated with the classified electric commercial users, so that the advantage of realizing targeted electric commercial commodity marketing for the classified electric commercial users is realized, the sale of electric commercial commodities on the electric commercial platform is increased, and the user experience is better.
In the several embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be substantially or partially implemented in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a part of the embodiments of the present invention, and not intended to limit the scope of the present invention, and all equivalent devices or equivalent processes performed by the present invention through the contents of the specification and the drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A method for classifying e-commerce users, comprising:
collecting the consumption demand of at least one e-commerce user on the e-commerce platform;
acquiring a commodity category corresponding to the consumption demand of each e-commerce user;
labeling the commodity category corresponding to the consumption demand of each e-commerce user; wherein, one commodity category corresponds to one label mark, the same commodity category corresponds to the same label mark, and different commodity categories correspond to different label marks;
according to the label marks, classifying the commodity categories related to each electric commodity user; wherein one class corresponds to one label tag, the same class corresponds to the same label tag, and different classes correspond to different label tags.
2. The method for classifying e-commerce users of claim 1, wherein the collecting of the consumption needs of at least one e-commerce user on the e-commerce platform comprises:
the method comprises the steps of collecting consumption requirements of at least one e-commerce user on an e-commerce platform according to a behavior track of the at least one e-commerce user on the e-commerce platform.
3. The method for classifying e-commerce users as claimed in claim 1, wherein the step of obtaining the commodity category corresponding to the consumption demand of each e-commerce user comprises:
and extracting commodity keywords from the consumption requirements of each e-commerce user according to a preset commodity keyword extraction strategy, configuring a commodity set matched with the commodity keywords, and acquiring a commodity category corresponding to the consumption requirements of each e-commerce user according to the commodity set.
4. The method for classifying e-commerce users as claimed in claim 1, wherein after said classifying said each e-commerce user in association with said goods category according to said tag label, further comprising:
and carrying out marketing on the classified E-commerce users in association with the label marks.
5. The method for classifying e-commerce users of claim 4, wherein the marketing of the classified e-commerce users in association with the label tags comprises:
and marketing the classified E-commerce users by associating the label marks in a mode of setting the classified E-commerce users to be visible in a classified grouping mode.
6. A sorting apparatus for e-commerce users, comprising:
the system comprises an acquisition module, a marking module and a classification module;
the acquisition module is used for acquiring the consumption demand of at least one e-commerce user on the e-commerce platform;
the acquisition module is used for acquiring the commodity category corresponding to the consumption demand of each e-commerce user;
the marking module is used for marking the commodity category corresponding to the consumption demand of each e-commerce user; wherein, one commodity category corresponds to one label mark, the same commodity category corresponds to the same label mark, and different commodity categories correspond to different label marks;
the classification module is used for classifying the commodity categories related to each electric commercial user according to the label marks; wherein one class corresponds to one label tag, the same class corresponds to the same label tag, and different classes correspond to different label tags.
7. The e-commerce user classification device of claim 6, wherein the collection module is specifically configured to:
the method comprises the steps of collecting consumption requirements of at least one e-commerce user on an e-commerce platform according to a behavior track of the at least one e-commerce user on the e-commerce platform.
8. The device for classifying e-commerce users according to claim 6, wherein the obtaining module is specifically configured to:
and extracting commodity keywords from the consumption requirements of each e-commerce user according to a preset commodity keyword extraction strategy, configuring a commodity set matched with the commodity keywords, and acquiring a commodity category corresponding to the consumption requirements of each e-commerce user according to the commodity set.
9. The e-commerce consumer classification device of claim 6, wherein the e-commerce consumer classification device further comprises:
a marketing module;
and the marketing module is used for carrying out marketing on the classified E-commerce users in association with the label marks.
10. The e-commerce user classification device of claim 9, wherein the marketing module is specifically configured to:
and marketing the classified E-commerce users by associating the label marks in a mode of setting the classified E-commerce users to be visible in a classified grouping mode.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010247344.8A CN111461781A (en) | 2020-03-31 | 2020-03-31 | E-commerce user classification method, E-commerce user classification device and E-commerce user classification equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010247344.8A CN111461781A (en) | 2020-03-31 | 2020-03-31 | E-commerce user classification method, E-commerce user classification device and E-commerce user classification equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111461781A true CN111461781A (en) | 2020-07-28 |
Family
ID=71682423
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010247344.8A Pending CN111461781A (en) | 2020-03-31 | 2020-03-31 | E-commerce user classification method, E-commerce user classification device and E-commerce user classification equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111461781A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112906761A (en) * | 2021-01-30 | 2021-06-04 | 广西机电职业技术学院 | E-commerce product classification method and system |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101437135A (en) * | 2008-12-11 | 2009-05-20 | 树钢 | Digital filming apparatus with document denomination identification system and control method thereof |
CN102637178A (en) * | 2011-02-14 | 2012-08-15 | 北京瑞信在线***技术有限公司 | Music recommending method, music recommending device and music recommending system |
CN106202391A (en) * | 2016-07-08 | 2016-12-07 | 深圳市中北明夷科技有限公司 | The automatic classification method of a kind of user's community and device |
CN106600039A (en) * | 2016-11-25 | 2017-04-26 | 浙江工业大学 | E-commerce commodity information pushing optimization method |
CN107403359A (en) * | 2017-07-20 | 2017-11-28 | 义乌洞开网络科技有限公司 | A kind of accurate commending system of electric business platform commodity and its method |
CN107833082A (en) * | 2017-09-15 | 2018-03-23 | 广州唯品会研究院有限公司 | A kind of recommendation method and apparatus of commodity picture |
CN108256970A (en) * | 2018-01-15 | 2018-07-06 | 北京值得买科技股份有限公司 | A kind of method that Products Show is carried out based on shopping need |
CN110503497A (en) * | 2018-05-16 | 2019-11-26 | 江苏天智互联科技股份有限公司 | A kind of electric business management platform Method of Commodity Recommendation of the consumption habit based on client |
-
2020
- 2020-03-31 CN CN202010247344.8A patent/CN111461781A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101437135A (en) * | 2008-12-11 | 2009-05-20 | 树钢 | Digital filming apparatus with document denomination identification system and control method thereof |
CN102637178A (en) * | 2011-02-14 | 2012-08-15 | 北京瑞信在线***技术有限公司 | Music recommending method, music recommending device and music recommending system |
CN106202391A (en) * | 2016-07-08 | 2016-12-07 | 深圳市中北明夷科技有限公司 | The automatic classification method of a kind of user's community and device |
CN106600039A (en) * | 2016-11-25 | 2017-04-26 | 浙江工业大学 | E-commerce commodity information pushing optimization method |
CN107403359A (en) * | 2017-07-20 | 2017-11-28 | 义乌洞开网络科技有限公司 | A kind of accurate commending system of electric business platform commodity and its method |
CN107833082A (en) * | 2017-09-15 | 2018-03-23 | 广州唯品会研究院有限公司 | A kind of recommendation method and apparatus of commodity picture |
CN108256970A (en) * | 2018-01-15 | 2018-07-06 | 北京值得买科技股份有限公司 | A kind of method that Products Show is carried out based on shopping need |
CN110503497A (en) * | 2018-05-16 | 2019-11-26 | 江苏天智互联科技股份有限公司 | A kind of electric business management platform Method of Commodity Recommendation of the consumption habit based on client |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112906761A (en) * | 2021-01-30 | 2021-06-04 | 广西机电职业技术学院 | E-commerce product classification method and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108960992A (en) | A kind of information recommendation method and relevant device | |
TWI631474B (en) | Method and device for product identification label and method for product navigation | |
CN107590675B (en) | User shopping behavior identification method based on big data, storage device and mobile terminal | |
US10664888B2 (en) | Method and system for attribute extraction from product titles using sequence labeling algorithms | |
CN107369075A (en) | Methods of exhibiting, device and the electronic equipment of commodity | |
CN101582151A (en) | Information processing system, information processing apparatus, information processing method, and computer program product | |
US7546290B2 (en) | Systems and methods for extracting and adapting data | |
CN101908184A (en) | Control method and system for distributing information through multiple associated terminals | |
GB2540667A (en) | Method and system for attribute extraction from product titles using sequence labeling algorithms | |
CN103679473A (en) | Smart supermarket control method based on radio frequency identification system | |
CN112465598B (en) | User portrait generation method, device, equipment and computer storage medium | |
CN105046536A (en) | Database marketing method based on RFID and Internet | |
TW201709096A (en) | Retrieval device, retrieval method, recording medium, and program | |
CN105488705A (en) | Auxiliary system and method of online shopping | |
CN114663186A (en) | Commodity recommendation method, system and storage medium applied to private domain and e-commerce platform | |
CN103366287A (en) | Electronic exchange method and system based on horizontal alliance | |
CN104615721A (en) | Method and system for recommending communities based on returned goods related information | |
CN111461781A (en) | E-commerce user classification method, E-commerce user classification device and E-commerce user classification equipment | |
US20080283587A1 (en) | Method and system for retrieval of consumer product information | |
CN109102331A (en) | Goods information processing method, server, system, electronic equipment and storage medium | |
CN108510302A (en) | A kind of marketing decision-making method and trading server | |
LY et al. | Factors Influence Intention To Buy Smartphone: The Role of E-Wom | |
CN110781399A (en) | Cross-platform information pushing method and device | |
CN115797014A (en) | Home decoration industry online and offline commodity recommendation method and device and storage medium | |
CN111461782A (en) | Information pushing method, device and equipment for E-commerce commodities |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200728 |
|
RJ01 | Rejection of invention patent application after publication |