CN108491490A - Electric business platform Commercial goods labels Division identification system and method - Google Patents
Electric business platform Commercial goods labels Division identification system and method Download PDFInfo
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- CN108491490A CN108491490A CN201810210732.1A CN201810210732A CN108491490A CN 108491490 A CN108491490 A CN 108491490A CN 201810210732 A CN201810210732 A CN 201810210732A CN 108491490 A CN108491490 A CN 108491490A
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- user behavior
- commercial goods
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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]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
Abstract
The invention discloses a kind of electric business platform Commercial goods labels Division identification system, including user behavior data obtaining module, for obtain user electric business platform browsing and consumption information；Module is integrated in the classification of user behavior information, and classification integration is carried out for the user behavior information to acquisition；User behavior information analysis module, for analyzing the user behavior information after integration；Comparing module, for user behavior information and Commercial goods labels to be compared.The present invention can improve the deficiencies in the prior art, improve the recognition accuracy of Commercial goods labels.
Description
Technical field
The present invention relates to network technique field, especially a kind of electric business platform Commercial goods labels Division identification system and its side
Method.
Background technology
With the development of network technology, Commercial goods labelsization are gradually used by major network electric business.Commercial goods labelsization can be with
Management level of the electric business platform for the consumption habit of customers is improved, oneself required commodity is quickly found out convenient for client, improves electric business
The sales volume of platform.The recognition accuracy of existing goods label is relatively low, leads to not rational to user's push with prestissimo
Merchandise news.
Invention content
The technical problem to be solved in the present invention is to provide a kind of electric business platform Commercial goods labels Division identification system and method, energy
The deficiencies in the prior art are enough solved, the recognition accuracy of Commercial goods labels is improved.
In order to solve the above technical problems, the technical solution used in the present invention is as follows.
A kind of electric business platform Commercial goods labels Division identification system, including,
User behavior data obtaining module, for obtain user electric business platform browsing and consumption information；
Module is integrated in the classification of user behavior information, and classification integration is carried out for the user behavior information to acquisition；
User behavior information analysis module, for analyzing the user behavior information after integration；
Comparing module, for user behavior information and Commercial goods labels to be compared.
A kind of Division identification method of above-mentioned electric business platform Commercial goods labels Division identification system, includes the following steps：
A, user behavior data obtaining module obtains the browsing and consumption information of user；
B, the classification of user behavior information integrates module and the user behavior information of acquisition is classified according to attribute, to similar use
Family behavioural information merges；
C, user behavior information analysis module establishes the mapping relations between inhomogeneity user behavior information；
D, the mapping relations net of user behavior information is compared with the Feature Mapping network of personal connections stored in Commercial goods labels, if than
Threshold value is higher than to coincidence factor, it is determined that this Commercial goods labels is selected label.
Preferably, in step A, sets user's browsing information to low priority, customer consumption information is set as high
Priority.
Preferably, in step B, when being merged higher than the information of threshold value to similarity in fellow users behavioural information,
If user browses information and merged with customer consumption information, deletes user and browse information, retain customer consumption information, if user
When browsing information is merged with user's browsing information or customer consumption information with customer consumption information, retain identical information portion
Point, delete different message parts.
Preferably, in step C, the mapping relations of foundation are simplified, the mapping relations that each dimension is overlapped into
Row merges, and the mapping relations that the variance yields of each dimension deviation is less than to threshold value are summed.
It is using advantageous effect caused by above-mentioned technical proposal：The integration that the present invention passes through optimization user behavior information
Method reduces the gross information content handled in identification process, improves recognition speed.Simultaneously by being carried out to user behavior information
Merge and integrate, improve the effective information content of data, reduces garbage doing for identification process in identification process
It disturbs.To realize the quick Division identification for Commercial goods labels.
Description of the drawings
Fig. 1 is the schematic diagram of a specific implementation mode of the invention.
In figure：1, user behavior data obtaining module；2, module is integrated in user behavior information classification；3, user behavior information
Analysis module；4, comparing module.
Specific implementation mode
The standardized element used in the present invention can commercially, and shaped piece is according to specification and attached drawing
Record can carry out customized, and the specific connection type of each part is all made of bolt ripe in the prior art, rivet, weldering
The conventional means such as connect, paste, this will not be detailed here.
Referring to Fig.1, a specific implementation mode of the invention includes,
User behavior data obtaining module 1, for obtain user electric business platform browsing and consumption information；
Module 2 is integrated in the classification of user behavior information, and classification integration is carried out for the user behavior information to acquisition；
User behavior information analysis module 3, for analyzing the user behavior information after integration；
Comparing module 4, for user behavior information and Commercial goods labels to be compared.
A kind of Division identification method of above-mentioned electric business platform Commercial goods labels Division identification system, includes the following steps：
A, user behavior data obtaining module 1 obtains the browsing and consumption information of user；
B, the classification of user behavior information integrates module 2 and the user behavior information of acquisition is classified according to attribute, to similar
User behavior information merges；
C, user behavior information analysis module 3 establishes the mapping relations between inhomogeneity user behavior information；
D, the mapping relations net of user behavior information is compared with the Feature Mapping network of personal connections stored in Commercial goods labels, if than
Threshold value is higher than to coincidence factor, it is determined that this Commercial goods labels is selected label.
In step A, sets user's browsing information to low priority, set customer consumption information to high priority.
In step B, when being merged higher than the information of threshold value to similarity in fellow users behavioural information, if user browses
Information is merged with customer consumption information, delete user browse information, retain customer consumption information, if user browse information with
When user's browsing information or customer consumption information are merged with customer consumption information, retain identical message part, deletes not
Same message part.
In step C, the mapping relations of foundation are simplified, the mapping relations that each dimension overlaps are merged, it will
The mapping relations that the variance yields of each dimension deviation is less than threshold value are summed.
After determining all Commercial goods labels, the feedback of the merchandise news of push reflects user behavior information according to user
It penetrates network of personal connections and carries out real-time update.Overlapping position of the update entrance selection in user behavior information and mapping relations net.From update into
Mouth starts, and traversal update is carried out to entire mapping relations net according to mapping relations.
When determination has multiple Commercial goods labels, according to the relevance between different Commercial goods labels, selection and remaining commodity mark
The maximum Commercial goods labels of relevance average value are signed as limited push object.
In the description of the present invention, it is to be understood that, term " longitudinal direction ", " transverse direction ", "upper", "lower", "front", "rear",
The orientation or positional relationship of the instructions such as "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outside" is based on attached drawing institute
The orientation or positional relationship shown is merely for convenience of the description present invention, does not indicate or imply the indicated device or element must
There must be specific orientation, with specific azimuth configuration and operation, therefore be not considered as limiting the invention.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent thereof.
Claims (5)
1. a kind of electric business platform Commercial goods labels Division identification system, it is characterised in that：Including,
User behavior data obtaining module（1）, for obtain user electric business platform browsing and consumption information；
Module is integrated in the classification of user behavior information（2）, classification integration is carried out for the user behavior information to acquisition；
User behavior information analysis module（3）, for analyzing the user behavior information after integration；
Comparing module（4）, for user behavior information and Commercial goods labels to be compared.
2. a kind of Division identification method of electric business platform Commercial goods labels Division identification system described in claim 1, feature
It is to include the following steps：
A, user behavior data obtaining module（1）The browsing and consumption information of user are obtained；
B, module is integrated in user behavior information classification（2）The user behavior information of acquisition is classified according to attribute, to similar
User behavior information merge；
C, user behavior information analysis module（3）Establish the mapping relations between inhomogeneity user behavior information；
D, the mapping relations net of user behavior information is compared with the Feature Mapping network of personal connections stored in Commercial goods labels, if than
Threshold value is higher than to coincidence factor, it is determined that this Commercial goods labels is selected label.
3. the Division identification method of electric business platform Commercial goods labels Division identification system according to claim 2, feature
It is：In step A, sets user's browsing information to low priority, set customer consumption information to high priority.
4. the Division identification method of electric business platform Commercial goods labels Division identification system according to claim 3, feature
It is：In step B, when being merged higher than the information of threshold value to similarity in fellow users behavioural information, if user browses letter
Breath is merged with customer consumption information, is deleted user and is browsed information, retains customer consumption information, if user browses information and uses
When family browsing information or customer consumption information are merged with customer consumption information, retain identical message part, deletes different
Message part.
5. the Division identification method of electric business platform Commercial goods labels Division identification system according to claim 4, feature
It is：In step C, the mapping relations of foundation are simplified, the mapping relations that each dimension overlaps are merged, by each dimension
The variance yields for spending deviation is less than the mapping relations summation of threshold value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810210732.1A CN108491490A (en) | 2018-03-14 | 2018-03-14 | Electric business platform Commercial goods labels Division identification system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810210732.1A CN108491490A (en) | 2018-03-14 | 2018-03-14 | Electric business platform Commercial goods labels Division identification system and method |
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| Publication Number | Publication Date |
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| CN108491490A true CN108491490A (en) | 2018-09-04 |
Family
ID=63339274
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810210732.1A Pending CN108491490A (en) | 2018-03-14 | 2018-03-14 | Electric business platform Commercial goods labels Division identification system and method |
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Citations (4)
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| CN105389714A (en) * | 2015-10-23 | 2016-03-09 | 北京慧辰资道资讯股份有限公司 | Method for identifying user characteristic from behavior data |
| CN106951489A (en) * | 2017-03-13 | 2017-07-14 | 杭州师范大学 | A kind of personalized recommendation method and device for sparse big data |
| CN107463853A (en) * | 2017-08-04 | 2017-12-12 | 晶赞广告（上海）有限公司 | The method and system of audient's label analysis |
| CN107590675A (en) * | 2017-07-25 | 2018-01-16 | 广州智选网络科技有限公司 | A kind of recognition methods of user's Shopping Behaviors, storage facilities and mobile terminal based on big data |
-
2018
- 2018-03-14 CN CN201810210732.1A patent/CN108491490A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105389714A (en) * | 2015-10-23 | 2016-03-09 | 北京慧辰资道资讯股份有限公司 | Method for identifying user characteristic from behavior data |
| CN106951489A (en) * | 2017-03-13 | 2017-07-14 | 杭州师范大学 | A kind of personalized recommendation method and device for sparse big data |
| CN107590675A (en) * | 2017-07-25 | 2018-01-16 | 广州智选网络科技有限公司 | A kind of recognition methods of user's Shopping Behaviors, storage facilities and mobile terminal based on big data |
| CN107463853A (en) * | 2017-08-04 | 2017-12-12 | 晶赞广告（上海）有限公司 | The method and system of audient's label analysis |
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Application publication date: 20180904 |
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