CN108182625A - A kind of electric business user Method of Commodity Recommendation and device - Google Patents
A kind of electric business user Method of Commodity Recommendation and device Download PDFInfo
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- CN108182625A CN108182625A CN201711462874.9A CN201711462874A CN108182625A CN 108182625 A CN108182625 A CN 108182625A CN 201711462874 A CN201711462874 A CN 201711462874A CN 108182625 A CN108182625 A CN 108182625A
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- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
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- G06Q30/0631—Item recommendations
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- 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
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Abstract
The embodiment of the invention discloses a kind of electric business user Method of Commodity Recommendation and devices, solve the problems, such as that existing electric business user Method of Commodity Recommendation can only be recommended according to the user information of consumer cannot in advance be recommended by the consumption habit of ex-post analysis consumer.A kind of electric business user Method of Commodity Recommendation disclosed by the embodiments of the present invention includes：Include the customer consumption stage model of different consumer phases by data analysis foundation according to the information of existing subscriber and historical consumption data；Corresponding commodity library is established to the different consumer phases in customer consumption stage model；The information and historical consumption data of acquisition target user and the consumer phase that target user is determined according to customer consumption stage model；It is target user's Recommendations from corresponding commodity library according to the consumer phase of target user.
Description
Technical field
The present invention relates to electric business field more particularly to a kind of electric business user Method of Commodity Recommendation and device.
Background technology
With the development of internet and development of Mobile Internet technology, more and more consumers begin through to do shopping on the net
And consumption, targetedly orientation is carried out to different users for the ease of businessman and is recommended, many companies develop different electricity
Commercial family Method of Commodity Recommendation.
At present, existing electric business user commercial product recommending is recorded by the shopping of consumer's shopping, and according to these shopping storys
Record carries out consumer relevant recommendation, but this method can only cannot be in advance to the purchase of consumer according to passing consumer record
Object may be analyzed and carry out commercial product recommending to user, and producing can only be carried out by the consumption habit of ex-post analysis consumer
The problem of recommending and cannot in advance being recommended according to the user information of consumer.
Invention content
An embodiment of the present invention provides a kind of electric business user Method of Commodity Recommendation and devices, solve existing electric business user
Method of Commodity Recommendation can only be recommended according to the user of consumer cannot be believed by the consumption habit of ex-post analysis consumer
The problem of breath is recommended in advance.
A kind of electric business user Method of Commodity Recommendation provided in an embodiment of the present invention includes：
S1：Different consumer phases are included by data analysis foundation according to the information of existing subscriber and historical consumption data
Customer consumption stage model；
S2：Corresponding commodity library is established to the different consumer phases in customer consumption stage model；
S3：The information and historical consumption data of acquisition target user simultaneously determine target user according to customer consumption stage model
Consumer phase；
S4:It is target user's Recommendations from corresponding commodity library according to the consumer phase of target user.
Optionally, the step S1 is specifically included：
According to the information and historical consumption data of preset period of time timing acquisition existing subscriber；
Include the use of different consumer phases by data analysis foundation according to the information of existing subscriber and historical consumption data
Family consumer phase model.
Optionally, the step S2 is specifically included：
Analyze the consumption habit and feature of the user of different consumer phases, and the consumption of the user according to different consumer phases
Custom and feature establish corresponding commodity library for different consumer phases.
Optionally, the step S3 is specifically included：
Obtain the information and historical consumption data of target user；
Among the information of target user and historical consumption data are input to customer consumption stage model, customer consumption is obtained
The corresponding consumer phase of target user of stage model output.
Optionally, the step S3 is specifically included：
The information and historical consumption data of period timing acquisition target user at preset timed intervals；
The information and historical consumption data of acquisition target user simultaneously determine target user's according to customer consumption stage model
Consumer phase.
Optionally, the step S3 is specifically included：
Obtain the information and historical consumption data and according to customer consumption stage mould in the nearest preset time period of target user
Type determines the consumer phase of target user.
A kind of electric business user device for recommending the commodity disclosed in the present embodiment, including：
Consumer phase model foundation unit includes difference for the information according to existing subscriber and historical consumption data foundation
The customer consumption stage model of consumer phase；
Unit is established in commodity library, for being established to the different consumer phases in customer consumption stage model by data analysis
Corresponding commodity library；
Consumer phase unit is determined, for obtaining the information of target user and historical consumption data and according to customer consumption rank
Segment model determines the consumer phase of target user；
Recommendation unit, for recommending quotient from corresponding commodity library for target user according to the consumer phase of target user
Product.
Optionally, unit is established in the commodity library, consumption habit specifically for the user that analyzes different consumer phases and
Feature, and corresponding commodity library is established for different consumer phases according to the consumption habit and feature of the users of different consumer phases.
Optionally, the determining consumer phase unit, specifically for according to preset period of time timing acquisition existing subscriber
Information and historical consumption data, and according to the information and historical consumption data of existing subscriber foundation include different consumer phases
Customer consumption stage model.
Optionally, the consumer phase model foundation unit, specifically for being had according to preset period of time timing acquisition
The information and historical consumption data of user, and established and wrapped by data analysis according to the information and historical consumption data of existing subscriber
Include the customer consumption stage model of different consumer phases.
As can be seen from the above technical solutions, the embodiment of the present invention has the following advantages：
A kind of electric business user Method of Commodity Recommendation disclosed by the embodiments of the present invention includes：According to the information of existing subscriber and go through
History consumption data includes the customer consumption stage model of different consumer phases by data analysis foundation；To customer consumption stage mould
Different consumer phases in type establish corresponding commodity library；Obtain the information of target user and historical consumption data and according to user
Consumer phase model determines the consumer phase of target user；It is target user from corresponding quotient according to the consumer phase of target user
Recommendations in product library.
In the present embodiment, user's stage is established by data analysis by the information to existing subscriber and historical consumption data
Consumption model, and different commodity libraries is established to user's difference consumption model, disappeared by the information and history that obtain target user
Take data and determine the consumer phase of target user, it is achieved thereby that carrying out its corresponding consumer phase to target user in advance
Commercial product recommending.Solving existing electric business user Method of Commodity Recommendation can only be carried out by the consumption habit of ex-post analysis consumer
The problem of recommending and cannot in advance being recommended according to the user information of consumer.
Description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also
To obtain other attached drawings according to these attached drawings.
Fig. 1 is that a kind of flow of one embodiment of electric business user Method of Commodity Recommendation provided in an embodiment of the present invention is illustrated
Figure；
Fig. 2 shows for a kind of flow of another embodiment of electric business user Method of Commodity Recommendation provided in an embodiment of the present invention
It is intended to；
Fig. 3 shows for a kind of flow of another embodiment of electric business user Method of Commodity Recommendation provided in an embodiment of the present invention
It is intended to；
Fig. 4 is a kind of structural representation of one embodiment of the electric business user device for recommending the commodity provided in an embodiment of the present invention
Figure；
Fig. 5 is a kind of application examples schematic diagram of electric business user Method of Commodity Recommendation provided in an embodiment of the present invention.
Specific embodiment
An embodiment of the present invention provides a kind of electric business user Method of Commodity Recommendation and devices, solve existing electric business user
Method of Commodity Recommendation can only be recommended according to the user of consumer cannot be believed by the consumption habit of ex-post analysis consumer
The problem of breath is recommended in advance.
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment is clearly and completely described the technical solution in the embodiment of the present invention, it is clear that disclosed below
Embodiment be only part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field
All other embodiment that those of ordinary skill is obtained without making creative work, belongs to protection of the present invention
Range.
Referring to Fig. 1, a kind of one embodiment for electric business user Method of Commodity Recommendation that the embodiment of the present invention is announced includes：
101st, different consumer phases are included by data analysis foundation according to the information of existing subscriber and historical consumption data
Customer consumption stage model；
It should be noted that the information of existing subscriber include user's registration when include gender, the age, educational background, occupation,
Address etc.；The consumption data of user includes consumption user within a certain period of time.
102nd, corresponding commodity library is established to the different consumer phases in customer consumption stage model；
It should be noted that different consumer phase users has different consumption demands, by establishing different consumer phases
Corresponding commodity library, can targetedly recommend customer demand.
103rd, obtain target user information and historical consumption data and according to customer consumption stage model determine target use
The consumer phase at family；
The consumer phase of target user is determined to carry out commercial product recommending for target user.
Please refer to table 1, the division table of the consumer phase of user：
Table 1：The division table of the consumer phase of user
Table 1 is the customer consumption phase scenario table according to user information and the division of the history consumer record of user, we
Can be obtained from the consumptive characteristics of user and division methods with user information and the relevant information of user's history consumer record, and
Judge the consumer phase of user.
104th, it is target user's Recommendations from corresponding commodity library according to the consumer phase of target user.
In the present embodiment, user's stage is established by data analysis by the information to existing subscriber and historical consumption data
Consumption model, and different commodity libraries is established to user's difference consumption model, disappeared by the information and history that obtain target user
Take data and determine the consumer phase of target user, it is achieved thereby that carrying out its corresponding consumer phase to target user in advance
Commercial product recommending.Solving existing electric business user Method of Commodity Recommendation can only be carried out by the consumption habit of ex-post analysis consumer
The problem of recommending and cannot in advance being recommended according to the user information of consumer.
Described above is a kind of electric business user Method of Commodity Recommendation, below will to a kind of electric business user Method of Commodity Recommendation into
Row further describes.
Referring to Fig. 2, a kind of another embodiment packet for electric business user Method of Commodity Recommendation that the embodiment of the present invention is announced
It includes：
201st, according to the information and historical consumption data of preset period of time timing acquisition existing subscriber；According to existing subscriber
Information and historical consumption data the customer consumption stage models of different consumer phases is included by data analysis foundation；
It can be realized by the information of preset period of time timing acquisition existing subscriber and number is consumed to user information and history
It is updated according to timing.
202nd, the consumption habit and feature of the user of different consumer phases is analyzed, and according to the users' of different consumer phases
Consumption habit and feature establish corresponding commodity library for different consumer phases；
Different commodity libraries is established to user's orientation of different consumer phases, client is more targetedly recommended, to company
Sale precision can be improved.
203rd, the information and historical consumption data of period timing acquisition target user at preset timed intervals；Obtain target user's
Information and historical consumption data and the consumer phase that target user is determined according to customer consumption stage model；
By the user information and historical consumption data of preset period of time timing acquisition target user, can complete to
The update of family information and historical consumption data.
204th, it is target user's Recommendations from corresponding commodity library according to the consumer phase of target user.
In the present embodiment, user's stage is established by data analysis by the information to existing subscriber and historical consumption data
Consumption model, and update of the timing to user information and historical consumption data, different quotient is established to user's difference consumption model
Product library, by obtain target user information and historical consumption data and determine target user consumer phase, it is achieved thereby that
The commercial product recommending of its corresponding consumer phase is carried out to target user in advance.Solves existing electric business user Method of Commodity Recommendation
It can only be recommended in advance be pushed away according to the user information of consumer by the consumption habit of ex-post analysis consumer
The problem of recommending.
Referring to Fig. 3, a kind of another embodiment packet for electric business user Method of Commodity Recommendation that the embodiment of the present invention is announced
It includes：
301st, according to the information and historical consumption data of preset period of time timing acquisition existing subscriber；According to existing subscriber
Information and historical consumption data the customer consumption stage models of different consumer phases is included by data analysis foundation；
It can be realized by the information of preset period of time timing acquisition existing subscriber and number is consumed to user information and history
According to be timing update.
302nd, the consumption habit and feature of the user of different consumer phases is analyzed, and according to the users' of different consumer phases
Consumption habit and feature establish corresponding commodity library for different consumer phases；
Different commodity libraries is established to user's orientation of different consumer phases, client is more targetedly recommended, to company
Sale precision can be improved.
303rd, the information and historical consumption data and according to customer consumption rank in the nearest preset time period of target user are obtained
Segment model determines the consumer phase of target user.
By obtaining user information and historical consumption data of the target user in nearest preset time period, can complete pair
The update of user information and historical consumption data, and can client be determined according to the newest user information of client and consumption data
Nearest consumer phase.
304th, it is target user's Recommendations from corresponding commodity library according to the consumer phase of target user.
In the present embodiment, user's stage is established by data analysis by the information to existing subscriber and historical consumption data
Consumption model, and user information to user in nearest preset time period and historical consumption data are updated, to user not
Establish different commodity libraries with consumption model, by obtain target user information and historical consumption data and determine target user
Consumer phase, it is achieved thereby that the commercial product recommending of its corresponding consumer phase is carried out to target user in advance.It solves existing
Electric business user Method of Commodity Recommendation can only be recommended by the consumption habit of ex-post analysis consumer and cannot be according to consumption
The problem of user information of person is recommended in advance.
Method is recommended to be described a kind of electric business user with reference to an application examples,
Referring to Fig. 5, a female user, works after being come out from school, starts net purchase, women's dress, outdoor sports, skin care.
Then different in nature (starting to buy different in nature articles for use) is made friends with, begins to focus on family life (house articles for use), gets married (gesture), gives birth to a child
(pregnant baby is virgin, treats cloth), the early stage of child brings up (three sections of milk powder), the education of child, the growth of child, the independence of child, weight
Newly enter two people's word, geriatrics department.
Therefore the model based on consumer phase residing for people is created, can more targetedly give lead referral commodity, a side
Face can maximumlly provide the user with facility；Still further aspect also can create benefit to user.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit can refer to the corresponding process in preceding method embodiment, and details are not described herein.
Referring to Fig. 4, a kind of electric business user device for recommending the commodity that work of the embodiment of the present invention is opened, including：
Consumer phase model foundation unit 401 includes for the information according to existing subscriber and historical consumption data foundation
The customer consumption stage model of different consumer phases；
Unit 402 is established in commodity library, for passing through data analysis to the different consumer phases in customer consumption stage model
Establish corresponding commodity library；
Consumer phase unit 403 is determined, for obtaining the information of target user and historical consumption data and disappearing according to user
Expense stage model determines the consumer phase of target user；
Recommendation unit 404, for being recommended from corresponding commodity library for target user according to the consumer phase of target user
Commodity.
In the present embodiment, by consumer phase model foundation unit 401 to the information and historical consumption data of existing subscriber
User's stage consumption model is established, and establish unit 402 to user's difference consumption model according to commodity library by data analysis
Different commodity libraries is established, by determining that consumer phase unit 403 obtains the information of target user and historical consumption data and true
Set the goal the consumer phase of user, its corresponding consumption is carried out to target user in advance so as to be realized by recommendation unit 404
The commercial product recommending in stage.Solving existing electric business user Method of Commodity Recommendation can only be practised by the consumption of ex-post analysis consumer
Used the problem of being recommended and cannot in advance being recommended according to the user information of consumer.
Further, consumer phase model foundation unit 401, specifically for being had according to preset period of time timing acquisition
The information and historical consumption data of user, and established and wrapped by data analysis according to the information and historical consumption data of existing subscriber
Include the customer consumption stage model of different consumer phases.
Further, unit 402 is established in commodity library, consumption habit specifically for the user that analyzes different consumer phases and
Feature, and corresponding commodity library is established for different consumer phases according to the consumption habit and feature of the users of different consumer phases.
Further, it is determined that consumer phase unit 403, specifically for according to preset period of time timing acquisition existing subscriber
Information and historical consumption data, and according to the information and historical consumption data of existing subscriber foundation include different consumer phases
Customer consumption stage model.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of division of logic function can have other dividing mode, such as multiple units or component in actual implementation
It may be combined or can be integrated into another system or some features can be ignored or does not perform.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be the indirect coupling by some interfaces, device or unit
It closes or communicates to connect, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separate, be shown as unit
The component shown may or may not be physical unit, you can be located at a place or can also be distributed to multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
That each unit is individually physically present, can also two or more units integrate in a unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is independent product sale or uses
When, it can be stored in a computer read/write memory medium.Based on such understanding, technical scheme of the present invention is substantially
The part to contribute in other words to the prior art or all or part of the technical solution can be in the form of software products
It embodies, which is stored in a storage medium, is used including some instructions so that a computer
Equipment (can be personal computer, server or the network equipment etc.) performs the complete of each embodiment the method for the present invention
Portion or part steps.And aforementioned storage medium includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to before
Embodiment is stated the present invention is described in detail, it will be understood by those of ordinary skill in the art that：It still can be to preceding
The technical solution recorded in each embodiment is stated to modify or carry out equivalent replacement to which part technical characteristic；And these
Modification is replaced, the spirit and scope for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of electric business user Method of Commodity Recommendation, which is characterized in that including：
S1：Include the user of different consumer phases by data analysis foundation according to the information of existing subscriber and historical consumption data
Consumer phase model；
S2：Corresponding commodity library is established to the different consumer phases in customer consumption stage model；
S3：The information and historical consumption data of acquisition target user simultaneously determine disappearing for target user according to customer consumption stage model
Take the stage；
S4：It is target user's Recommendations from corresponding commodity library according to the consumer phase of target user.
2. a kind of electric business user Method of Commodity Recommendation according to claim 1, which is characterized in that
The step S1 is specifically included：
According to the information and historical consumption data of preset period of time timing acquisition existing subscriber；
The user for including different consumer phases by data analysis foundation according to the information of existing subscriber and historical consumption data disappears
Take stage model.
3. a kind of electric business user Method of Commodity Recommendation according to claim 1, which is characterized in that
The step S2 is specifically included：
Analyze the consumption habit and feature of the user of different consumer phases, and the consumption habit of the user according to different consumer phases
With feature corresponding commodity library is established for different consumer phases.
4. a kind of electric business user Method of Commodity Recommendation according to claim 1, which is characterized in that
The step S3 is specifically included：
Obtain the information and historical consumption data of target user；
Among the information of target user and historical consumption data are input to customer consumption stage model, the customer consumption stage is obtained
The corresponding consumer phase of target user of model output.
5. a kind of electric business user Method of Commodity Recommendation according to claim 4, which is characterized in that
The step S3 is specifically included：
The information and historical consumption data of period timing acquisition target user at preset timed intervals；
The information and historical consumption data of acquisition target user and the consumption that target user is determined according to customer consumption stage model
Stage.
6. a kind of electric business user Method of Commodity Recommendation according to claim 1 or 2, which is characterized in that
The step S3 is specifically included：
Obtain the information and historical consumption data and true according to customer consumption stage model in the nearest preset time period of target user
Set the goal the consumer phase of user.
7. a kind of electric business user device for recommending the commodity, which is characterized in that including：
Consumer phase model foundation unit includes different consumption for the information according to existing subscriber and historical consumption data foundation
The customer consumption stage model in stage；
Unit is established in commodity library, is corresponded to for being established to the different consumer phases in customer consumption stage model by data analysis
Commodity library；
Consumer phase unit is determined, for obtaining the information of target user and historical consumption data and according to customer consumption stage mould
Type determines the consumer phase of target user；
Recommendation unit, for being target user's Recommendations from corresponding commodity library according to the consumer phase of target user.
8. a kind of electric business user device for recommending the commodity according to claim 7, which is characterized in that
Unit is established in the commodity library, the consumption habit and feature of the user specifically for analyzing different consumer phases, and according to
The consumption habit and feature of the user of different consumer phases establishes corresponding commodity library for different consumer phases.
9. a kind of electric business user device for recommending the commodity according to claim 7, which is characterized in that
The determining consumer phase unit, specifically for the information and history according to preset period of time timing acquisition existing subscriber
Consumption data, and the customer consumption stage for including different consumer phases is established according to the information and historical consumption data of existing subscriber
Model.
10. a kind of electric business user device for recommending the commodity according to claim 7, which is characterized in that
The consumer phase model foundation unit, specifically for the information according to preset period of time timing acquisition existing subscriber and
Historical consumption data, and different consumption ranks are included by data analysis foundation according to the information and historical consumption data of existing subscriber
The customer consumption stage model of section.
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| CN110443649A (en) * | 2019-08-02 | 2019-11-12 | 杭州讯酷科技有限公司 | Intelligent recommendation method, system and vending machine based on matching algorithm |
| CN111105298A (en) * | 2019-12-31 | 2020-05-05 | 杭州涂鸦信息技术有限公司 | Purchasing recommendation method and system based on intelligent scene of Internet of things |
| CN111105298B (en) * | 2019-12-31 | 2023-09-26 | 杭州涂鸦信息技术有限公司 | Purchasing recommendation method and system based on intelligent scene of Internet of things |
| CN111738802A (en) * | 2020-06-30 | 2020-10-02 | 广东奥园奥买家电子商务有限公司 | Introduction method, device and equipment of E-commerce commodities |
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Application publication date: 20180619 |