CN106874266A - User's portrait method and the device for user's portrait - Google Patents
User's portrait method and the device for user's portrait Download PDFInfo
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- CN106874266A CN106874266A CN201510908682.0A CN201510908682A CN106874266A CN 106874266 A CN106874266 A CN 106874266A CN 201510908682 A CN201510908682 A CN 201510908682A CN 106874266 A CN106874266 A CN 106874266A
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- G06F16/90—Details of database functions independent of the retrieved data types
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Abstract
The invention discloses a kind of user portrait method and the device for user's portrait, it is related to data communication field.User's portrait method therein includes:Obtain the panoramic view data of user to be drawn a portrait;The tag library of panoramic view data and structure according to user to be drawn a portrait carries out various dimensions description to user to be drawn a portrait;Wherein, tag library builds according to the panoramic view data of all users or/and is built according to application demand, wherein, panoramic view data includes at least two data in system of real name basic data, communication data, position data and internet behavior data.By obtaining the panoramic view data of user to be drawn a portrait, the description of multiple dimensions is carried out to user to be drawn a portrait, make user's portrait result more accurate.
Description
Technical field
The present invention relates to data communication field, especially a kind of user's portrait method and for user
The device of portrait.
Background technology
In the prior art, three kinds of approach mainly draw a portrait user:(1) by use
The modes such as family web page browsing record, online trace tracking collect user profile, such as cookie, net
Page implantation, the method such as search engine, it has the disadvantage that data are not accurate enough, so that it is difficult to by data
It is directly linked to certain types of user;(2) by the electric business website of user's registration, specialty
The network behavior based on log-on message such as website is analyzed to user, and its advantage can be to collect
User has the disadvantage that these information are confined to specific area in the relevant information of corresponding website, it is impossible to
Associated with external data source, it is difficult to which user is accurately drawn a portrait;(3) by professional machine
The system of real name information of structure acquisition of information user, output label, however, label substance is only dependent upon
The field that system of real name information is related to.
The content of the invention
An embodiment of the present invention technical problem to be solved is:How user is carried out accurately
User draws a portrait.
A kind of one side according to embodiments of the present invention, there is provided user's portrait method, including:
Obtain the panoramic view data of user to be drawn a portrait;The mark of panoramic view data and structure according to user to be drawn a portrait
Sign storehouse carries out various dimensions description to user to be drawn a portrait;Wherein, tag library is according to the complete of all users
Scape data build or/and are built according to application demand, wherein, panoramic view data includes system of real name basis
At least two data in data, communication data, position data and internet behavior data.
In one embodiment, the panoramic view data according to all users builds tag library and includes:Will
The panoramic view data of all users cluster and obtains different labels, to build tag library.
In one embodiment, the panoramic view data according to all users builds tag library and also includes:
The panoramic view data of all users is matched with existing label in tag library, and institute is useful
It is not matched to the data of label in the panoramic view data at family and cluster obtain different labels, with
Build tag library.
In one embodiment, to the label in the tag library that is built according to application demand according to should
Feedback is updated.
In one embodiment, the panoramic view data according to user to be drawn a portrait and the tag library pair for building
User to be drawn a portrait carries out various dimensions description to be included:It is intended to the panoramic view data and tag library of portrait user
In label matched, wherein the label for matching includes crucial label and each non-key label;
Each non-key label is associated according to crucial label, multidimensional is carried out with to user to be drawn a portrait
Degree description.
In one embodiment, the panoramic view data according to user to be drawn a portrait and the tag library pair for building
User to be drawn a portrait carries out various dimensions description to be included:It is intended to the panoramic view data and tag library of portrait user
In label matched;Searched and target phase from the label for matching according to predetermined target
The label of pass, the label related to target intersected, it is nested, associate, regenerate treatment,
To carry out the description of target dimension to user to be drawn a portrait.
A kind of second aspect according to embodiments of the present invention, there is provided device for user's portrait,
Including:User data acquisition module, the panoramic view data for obtaining user to be drawn a portrait;User draws
As module, for the panoramic view data according to user to be drawn a portrait and the tag library for building to use to be drawn a portrait
Family carries out various dimensions description;Tag library builds module, for the panoramic view data according to all users
Build tag library or/and tag library is built according to application demand;Wherein, panoramic view data includes real name
At least two numbers in basic data processed, communication data, position data and internet behavior data
According to.
In one embodiment, tag library builds module and is used to enter the panoramic view data of all users
Row cluster obtains different labels, to build tag library.
In one embodiment, tag library builds module and is additionally operable to the panoramic view data of all users
Matched with existing label in tag library, and by no in the panoramic view data of all users
It is fitted on the data of label and cluster and obtain different labels, builds tag library.
In one embodiment, tag library builds module includes tag library updating block, for right
It is updated according to the feedback of application according to the label in the tag library that application demand builds.
In one embodiment, user portrait module be used for be intended to draw a portrait user panoramic view data with
Label in tag library is matched, wherein the label for matching includes that crucial label and Ge Fei are closed
Key label, and associated each non-key label according to crucial label, with to use to be drawn a portrait
Family carries out various dimensions description.
In one embodiment, user's portrait module includes matching unit and portrait unit;Matching
The panoramic view data that unit is used to be intended to draw a portrait user is matched with the label in tag library;Portrait
Unit is used to search the label related to target from the label for matching according to predetermined target,
The label related to target intersected, it is nested, associate, treatment regenerated, with to being intended to picture
The description of target dimension is carried out as user.
The present invention carries out multiple by the panoramic view data of acquisition user to be drawn a portrait to user to be drawn a portrait
The description of dimension, makes user's portrait result more accurate.
By referring to the drawings to the detailed description of exemplary embodiment of the invention, the present invention
Further feature and its advantage will be made apparent from.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will
The accompanying drawing to be used needed for embodiment or description of the prior art is briefly described, it is clear that
Ground, drawings in the following description are only some embodiments of the present invention, for the common skill in this area
For art personnel, on the premise of not paying creative work, can also be obtained according to these accompanying drawings
Other accompanying drawings.
Fig. 1 shows the schematic flow sheet of one embodiment of user's portrait method of the present invention.
Fig. 2 shows the present invention for the structural representation of one embodiment of the device of user's portrait.
Fig. 3 shows the present invention for the structural representation of one embodiment of the system of user's portrait.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, to the technical scheme in the embodiment of the present invention
It is clearly and completely described, it is clear that described embodiment is only a real part of the invention
Example is applied, rather than whole embodiments.Below to the description reality of at least one exemplary embodiment
It is merely illustrative on border, never as to the present invention and its application or any limitation for using.
Based on the embodiment in the present invention, those of ordinary skill in the art are not before creative work is made
The every other embodiment for being obtained is put, the scope of protection of the invention is belonged to.
User's portrait method of one embodiment of the invention is described below with reference to Fig. 1.
Fig. 1 is the flow chart of one embodiment of user's portrait method of the present invention.As shown in figure 1,
The method of the embodiment includes:
Step S102, obtains the panoramic view data of user to be drawn a portrait.Wherein, panoramic view data includes real
In name basic data processed, communication data, position data and internet behavior data at least two
Data.
Step S104, the tag library of panoramic view data and structure according to user to be drawn a portrait is to being intended to draw a portrait
User carries out various dimensions description.Wherein, tag library according to the panoramic view data of all users build or/
Built with according to application demand.
By obtaining the panoramic view data of user to be drawn a portrait, multiple dimensions can be carried out to user to be drawn a portrait
The description of degree, makes user's portrait result more accurate.
To build tag library, the present invention proposes two kinds of exemplary structure marks on the basis of user's portrait
Sign the mode in storehouse.
The first tag library building mode is to be built according to the panoramic view data of all users, which
Can include:The panoramic view data of all users cluster and obtains different labels, to build
Tag library.The above method can specifically be realized using following steps:First, by all users'
Panoramic view data is matched with existing label in tag library;Then, by the panorama of all users
It is not matched to the data of label in data and cluster obtain different labels, to build label
Storehouse, it is to avoid same label is repeatedly generated.Because the panoramic view data of each user is comprising more
The information of dimension, therefore clustered by by the panoramic view data of all users for obtaining, can
Make that there is more comprehensive label in tag library.This method can be used for generation basic label simultaneously
Constitute tag library.
Second tag library building mode is to be built according to application demand.Although basic label quantity
Greatly, scope is wide, universality is strong, but for specific application, product or project demands,
Also need to pointedly set up and apply label.Need to carry out two steps using the determination of label
Screening:The first step is that can determine it by the analysis of cluster or sorting algorithm using label
It is independent result, rather than noise;Second step is, can be to the mark that is built according to application demand
The label signed in storehouse is updated according to the feedback of application, i.e., will be by actual product using label
Application, obtain user feedback, by monitor feedback be fitted with result before, pick
Except null result, effective result is supplemented.By taking Automobile Marketing scheme as an example, said process is for example
Following methods can be used:First, by the fixed network of automotive-type user and mobile DPI (Deep
Packet Inspection, deep-packet detection) Internet data be analyzed, extract interim mark
Sign;Then, according to temporary labels and the matching result of Automobile Marketing demand, by a portion
User is incorporated into the colony of certain class potential user;Finally, the marketing increase rate according to scheme,
Wherein effective label and invalid label are reclaimed, invalid tag is rejected, effective label is true
It is set to and applies label, and is added in tag library.By the way that in this way, spy can be directed to
Fixed application, product and project demands carry out user's portrait, and accuracy is higher.
For above two tag library building mode, tag library can be entered using following methods
The renewal of row different frequency.For the label in tag library, a kind of update method be periodically more
Newly, the label for regularly updating is by such as CRM (CRM system) information, terminal
The data source generation that information etc. is regularly updated, and be periodically added in tag library;Another kind is more
New method is real-time update, and such as label for position class is, it is necessary to constantly right in a short time
It is synchronized, and as needed, the label produced in fixed time period is added into tag library
In, described in real time with to the variation that user produces.
Due to being used for the data source more than one of user's portrait in the present invention, therefore in portrait process
In, it is necessary to by different data sources produce label bound so that binding after each label
Belong to same user.Accordingly, for the specific mistake that various dimensions description is carried out to user to be drawn a portrait
Journey, can use following steps:First, it is intended in the panoramic view data of portrait user and tag library
Label matched, wherein the label for matching includes crucial label and each non-key label;
Then, each non-key label is associated according to crucial label, is entered with to user to be drawn a portrait
Row various dimensions are described.Wherein, crucial label is in the label that each datasource clustering goes out
The label that can occur, such as label that the system of real name basic data according to user is clustered out.Pass through
Crucial label, can identify the label which non-key label is the crucial label owning user,
Using this interrelational form, can be by the label binding of same user in different data sources to the use
Family, improves the accuracy of user's portrait.
The basic label and application label for being previously used for building tag library are applied to thicker industry ring
Border, for example, can be applicable for automobile industry, financial industry, tourism industry, but directly make
The more specifically problem that portrait cannot be solved in industry is carried out to user with these labels.To solve
This problem, carries out to be adopted with the following method when various dimensions are described to user to be drawn a portrait:First,
The panoramic view data for being intended to portrait user is matched with the label in tag library, is user to be drawn a portrait
Select corresponding label;Then, searched and mesh from the label for matching according to predetermined target
Mark related label, to target related label intersected, it is nested, associate, regenerate
Treatment, to carry out the description of target dimension to user to be drawn a portrait.Said process is user first
With label, then selection and the user of the profile matching of target dimension from these users again, lead to
This bi-directional matching, the method for description are crossed, accurate portrait and the targeted customer of user is realized
Obtain.Wherein, the cross processing of label refers to that being one by multiple Label Mergings has multiple attributes
Label;The Embedded process of label refers to be that the multiple labels with subordinate relation refine journey according to it
Degree is arranged and bound, to adapt to the requirement of different portrait precision;The association process of label
Finger will belong to same user or the label of same application is bound;Label regenerates treatment
Refer in the particular problem during the current label for matching cannot solve industry, adjust data source
In data or label generating method, label is regenerated.
Additionally, during user's portrait is carried out to user to be drawn a portrait, when not having in tag library
When corresponding label is matched, can select to start crawlers to the panorama of user to be drawn a portrait
The source address of data obtains the information not included in former panoramic view data, makes the information fetched by machine
The analysis of device learning model algorithm, can be matched with the label in tag library.
The device for user's portrait of one embodiment of the invention is described below with reference to Fig. 2.
Fig. 2 is structure chart of the present invention for one embodiment of the device of user's portrait.Such as Fig. 2
Shown, the device of the embodiment includes:User data acquisition module 22, is intended to draw a portrait for obtaining
The panoramic view data of user;User's portrait module 24, for the panoramic view data according to user to be drawn a portrait
Various dimensions description is carried out to user to be drawn a portrait with the tag library for building;Tag library builds module 26,
Marked for building tag library or/and being built according to application demand according to the panoramic view data of all users
Sign storehouse;Wherein, panoramic view data include system of real name basic data, communication data, position data with
And at least two data in internet behavior data.
Wherein, tag library builds module 26 and can be used for being gathered the panoramic view data of all users
Class obtains different labels, to build tag library.
Wherein, tag library builds module 26 and can be also used for the panoramic view data of all users and mark
Existing label is matched in signing storehouse, and mark is not matched in the panoramic view data of all users
The data of label cluster and obtain different labels, to build tag library.
Wherein, tag library builds module 26 can include tag library updating block, for basis
Label in the tag library that application demand builds is updated according to the feedback of application.
Wherein, user's portrait module 24 can be used for being intended to the panoramic view data and label of portrait user
Label in storehouse is matched, wherein the label for matching includes crucial label and each non-key mark
Sign, and associated each non-key label according to crucial label, enter with to user to be drawn a portrait
Row various dimensions are described.
Wherein, user's portrait module 24 can include matching unit and portrait unit;Matching unit
Panoramic view data for being intended to portrait user is matched with the label in tag library;Portrait unit
For searching the label related to target from the label for matching according to predetermined target, to mesh
Mark related label intersected, it is nested, associate, regenerate treatment, with to use to be drawn a portrait
Family carries out the description of target dimension.
The system for user's portrait of one embodiment of the invention is described below with reference to Fig. 3.
Fig. 3 is structure chart of the present invention for one embodiment of the system of user's portrait.Such as Fig. 3
Shown, the system of the embodiment includes:Data source platform 32, base power platform 34, product are put down
Platform 36 is constituted.
Data source platform 32 is used to provide the panoramic view data of user, and the panoramic view data of user is stored in number
According in the tables of data in storehouse.
Base power platform 34 is used for the structure and user's portrait of tag library, including data prediction mould
Block 342, tag data process module 344, label memory module 346 and service module 348.Number
Data preprocess module 342 is used to collecting, clean after data transfer to tag data process module
In 344;Tag data process module 344 is used to generate label according to the user's panoramic view data after cleaning,
Be additionally operable to will generate different data sources in label binding and be user matching label;Label
Memory module 346 be used for preserve tag data process module generation label, including basic label and
Using label, as needed, it is also possible to preserve other kinds of label;Service module 348 is used for
Label in displaying label memory module 346, and report form statistics, the mark carried out according to label
Sign the functions such as management.
Product platform 36 is used to carry out concrete application to the label of base power platform 34, meanwhile,
Base power platform 34 can be used for improving label storage according to the application result of product platform 36
As a result.
Additionally, the method according to the invention is also implemented as a kind of computer program product, should
Computer program product includes computer-readable medium, is stored with the computer-readable medium
Computer program for performing the above-mentioned functions limited in the method for the present invention.Art technology
Personnel will also understand is that, the various illustrative logical blocks with reference to described by disclosure herein, mould
Block, circuit and algorithm steps may be implemented as the group of electronic hardware, computer software or both
Close.
Presently preferred embodiments of the present invention is the foregoing is only, is not intended to limit the invention, it is all at this
Within the spirit and principle of invention, any modification, equivalent substitution and improvements made etc. all should be wrapped
It is contained within protection scope of the present invention.
Claims (12)
1. a kind of user portrait method, including:
Obtain the panoramic view data of user to be drawn a portrait;
The tag library of panoramic view data and structure according to user to be drawn a portrait carries out many to user to be drawn a portrait
Dimension is described;
Wherein, the tag library builds or/and according to application need according to the panoramic view data of all users
Seek structure,
Wherein, panoramic view data include system of real name basic data, communication data, position data and
At least two data in internet behavior data.
2. method according to claim 1, it is characterised in that according to the complete of all users
Scape data build tag library to be included:
The panoramic view data of all users cluster and obtains different labels, to build tag library.
3. method according to claim 2, it is characterised in that according to the complete of all users
Scape data build tag library also to be included:
The panoramic view data of all users is matched with existing label in tag library, and by institute
Having the data that label is not matched in the panoramic view data of user cluster and obtains different labels,
To build tag library.
4. method according to claim 1, it is characterised in that wherein, to according to application
Label in the tag library that demand builds is updated according to the feedback of application.
5. method according to claim 1, it is characterised in that according to user's to be drawn a portrait
Panoramic view data and the tag library for building carry out various dimensions description to user to be drawn a portrait to be included:
The panoramic view data for being intended to portrait user is matched with the label in tag library, wherein matching
The label for arriving includes crucial label and each non-key label;
Each non-key label is associated according to crucial label, is carried out with to user to be drawn a portrait
Various dimensions are described.
6. method according to claim 1, it is characterised in that according to user's to be drawn a portrait
Panoramic view data and the tag library for building carry out various dimensions description to user to be drawn a portrait to be included:
The panoramic view data for being intended to portrait user is matched with the label in tag library;
The label related to target is searched from the label for matching according to predetermined target, to mesh
Mark related label intersected, it is nested, associate, regenerate treatment, with to use to be drawn a portrait
Family carries out the description of target dimension.
7. it is a kind of for user portrait device, including:
User data acquisition module, the panoramic view data for obtaining user to be drawn a portrait;
User's portrait module, for the panoramic view data according to user to be drawn a portrait and the tag library for building
Various dimensions description is carried out to user to be drawn a portrait;
Tag library build module, for according to the panoramic view data of all users build tag library or/
Tag library is built with according to application demand;
Wherein, panoramic view data include system of real name basic data, communication data, position data and
At least two data in internet behavior data.
8. device according to claim 7, it is characterised in that the tag library builds mould
Block is used to by the panoramic view data of all users cluster to obtain different labels, to build label
Storehouse.
9. device according to claim 8, it is characterised in that the tag library builds mould
Block is additionally operable to be matched the panoramic view data of all users with existing label in tag library, and
The data that label is not matched in the panoramic view data of all users cluster and obtains different
Label, to build tag library.
10. device according to claim 7, it is characterised in that the tag library builds mould
Block includes tag library updating block, for the label in the tag library to being built according to application demand
Feedback according to application is updated.
11. devices according to claim 7, it is characterised in that user's portrait module
Panoramic view data for being intended to portrait user is matched with the label in tag library, wherein matching
The label for arriving includes crucial label and each non-key label, and according to crucial label by each non-pass
Key label is associated, and various dimensions description is carried out with to user to be drawn a portrait.
12. devices according to claim 7, it is characterised in that user's portrait module
Including matching unit and portrait unit;
The panoramic view data that the matching unit is used to be intended to draw a portrait user enters with the label in tag library
Row matching;
The portrait unit is used to be searched and target from the label for matching according to predetermined target
Related label, to target related label intersected, it is nested, associate, regenerate place
Reason, to carry out the description of target dimension to user to be drawn a portrait.
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---|---|---|---|---|
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103412930A (en) * | 2013-08-17 | 2013-11-27 | 北京品友互动信息技术有限公司 | Method for identifying attributes of internet users |
CN103593690A (en) * | 2013-11-25 | 2014-02-19 | 北京光年无限科技有限公司 | User intelligent tagging system |
CN103778555A (en) * | 2014-01-21 | 2014-05-07 | 北京集奥聚合科技有限公司 | User attribute mining method and system based on user tags |
CN104111994A (en) * | 2014-07-04 | 2014-10-22 | 北京思特奇信息技术股份有限公司 | Label data screening method and device based on mixed data source |
CN104598588A (en) * | 2015-01-19 | 2015-05-06 | 河海大学 | Automatic generating algorithm of microblog user label based on biclustering |
CN104866969A (en) * | 2015-05-25 | 2015-08-26 | 百度在线网络技术(北京)有限公司 | Personal credit data processing method and device |
CN104933049A (en) * | 2014-03-17 | 2015-09-23 | 华为技术有限公司 | Method and system for generating digital human |
-
2015
- 2015-12-10 CN CN201510908682.0A patent/CN106874266A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103412930A (en) * | 2013-08-17 | 2013-11-27 | 北京品友互动信息技术有限公司 | Method for identifying attributes of internet users |
CN103593690A (en) * | 2013-11-25 | 2014-02-19 | 北京光年无限科技有限公司 | User intelligent tagging system |
CN103778555A (en) * | 2014-01-21 | 2014-05-07 | 北京集奥聚合科技有限公司 | User attribute mining method and system based on user tags |
CN104933049A (en) * | 2014-03-17 | 2015-09-23 | 华为技术有限公司 | Method and system for generating digital human |
CN104111994A (en) * | 2014-07-04 | 2014-10-22 | 北京思特奇信息技术股份有限公司 | Label data screening method and device based on mixed data source |
CN104598588A (en) * | 2015-01-19 | 2015-05-06 | 河海大学 | Automatic generating algorithm of microblog user label based on biclustering |
CN104866969A (en) * | 2015-05-25 | 2015-08-26 | 百度在线网络技术(北京)有限公司 | Personal credit data processing method and device |
Non-Patent Citations (1)
Title |
---|
苏燕 等: "一种智能学习的动态客户标签方法的研究", 《计算机应用》 * |
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