CN101833725A - Method for matching and comparing user ID and ID matching system - Google Patents
Method for matching and comparing user ID and ID matching system Download PDFInfo
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Abstract
The invention relates to a method for matching and comparing user ID and an ID matching system. The method for matching and comparing user ID comprises the following steps of: registering the parameters of user sample ID attribute data items of application projects; registering a unique corresponding bonding relation between sample ID identifiers and external application project ID identifiers; registering a data group which contains the same ID attribute data items of ID identifier users and corresponds to the sample ID attribute data items by using the sample ID attribute data items as a template; registering the biological specificity data of an ID user; and respectively comparing the data of the user ID attribute data items with the parameters in the same ID attribute data items corresponding to a sample ID attribute table to acquire an ID attribute comparison matching ratio R of the ID user. Only by the biological specificity ID authentication of an ID user, a matching ratio R between an ID identifier user and an ID identifier sample can be output as a parameter for the ID identifier user to operate an external application project of the ID identifier.
Description
Technical field
The present invention relates to field of computer technology, specially refer to a kind of user and network application service item relevant matches degree methods and system of obtaining automatically.
Background technology
Flourish along with the interactive medium internet, the web advertisement, especially search advertisements pattern have become conventional operation mode----advertiser and have clicked the advertisement payment for the network user searches for and click expense to search engine companies.
Since being willing to mean clicked advertisement defrayment, the advertiser gives search engine companies, the advertiser can certainly directly click network spectators granting and payment (should give the part of search engine companies) click expense of advertisement to active searching, directly attract the network user to click the browse advertisements content.Specifically, stand in advertiser's angle: an advertising budget, as long as the target audience who throws in is the network user of those potential purchase advertised products or service---those meet the network user with specific identity attribute of potential user's characteristics, and can bring desirable sale effect, it all should be the same with paying search engine companies that the advertiser provides money to network user individual, even provide and give individual's the web advertisement more accurate, save more money better effects if.
In other words, the advertiser can employ the part-time browse advertisements master's of nondirectional potential user group oneself advertisement, after these nondirectional part-fime employees buy product or service and become the client, can also carry out streamlined customer services such as member management, market feedback investigation and management and customer relation management.Customer relationship and employer-employee relationship are mixed together on a platform, and lifting concerns with client's combined efforts, also must help the long term growth of enterprise.
Yet the present web advertisement, especially search advertisements just existed problems such as clicking maliciously and click cheating originally not to audient's authentication.How could guarantee promptly that the network user can not practise fraud, can guarantee that again advertising fee paid specific those and met the network user of potential target user identity attributive character? in other words, the advertiser need know to come browse advertisements and get the user of the expense clicked and how many concrete quantization parameters of the relevant matches degree of specific network application projects such as advertisement project is.
Summary of the invention
The present invention seeks to obtain automatically user identity and network application service item relevant matches degree methods and system.Both the work attendance network user in each operation of network application project (for example, click the literal video ads or fill in the investigation of the submission network market), again according to the matching degree size of the target sample identity attribute of user identity attribute and network application, user identity attributes match rate as the matching rate parameter that the user operates corresponding network application project, is participated in handling described network application project.Whether for example, this matching rate can be used as distributes to other parameter of relative users bandwidth priority, as what parameter of payment user clicking cost, also can be used as and allow the user to participate in the parameter of network surveying.For with the high user's of web advertisement application item matching rate operation overabsorption network bandwidth resources or pay this extra clicking cost, distribute bandwidth resources less or pay clicking cost less for the low user's of matching rate click.Can also set the too low user's operational network application item of matching rate score line restriction matching rate.
For achieving the above object,, provide a kind of user identity coupling comparison method, carried out following steps according to a first aspect of the present invention:
(a) parameter of user's sample identity attribute data item of registration applications project, the data burst structure of parameter sees Table 1;
Wherein, the parameter of the identity attribute 1 of sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N data item is respectively S1, S2, and S3...SN,
Sample is carried out ID identifier numbering, and S is the quantity of ID sample;
Register the unique corresponding binding relationship of described sample ID identifier and applications item id identifier;
Data item with described sample identity attribute is a masterplate, registration has in user's the identity attribute of ID identifier, and the data of identical corresponding identity attribute 1 with sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N are respectively P1, P2
P3...PN, the data burst structure of user identity attribute sees Table 2, and wherein, M is the ID number of users of registration;
(b) be unit with described ID user record, with the data P1 under the user identity attribute data item of table 2, P2, P3...PN respectively with the sample identity attribute list of table 1 in parameter S 1 in the identical corresponding identity attribute data item, S2, S3...SN compares, and obtains the coupling ratio R of the identity attribute comparison of described ID user and sample, sees Table 3;
Or be unit with described ID sample record, parameter S 1 with table 1 sample identity attribute list data item, S2, S3...SN respectively with the user identity attribute data item of table 2 under identical corresponding data P1, P2, P3...PN compares, and obtains the coupling ratio R of the identity attribute comparison of user and described ID sample, sees Table 4;
Wherein, the Score of table 3 and table 4 is each identity attribute data item comparison summation that the match is successful counts, and Full is the quantity summation of whole identity attribute data item, and user and sample identity attributes match rate are R=Score/Full*%;
(c), obtain the coupling ratio R of the applications project of the user of described ID identifier and described ID identifier according to described sample ID identifier and the unique binding relationship of described applications item id identifier;
Export described coupling ratio R as the parameter that described ID identifier user operates described ID identifier applications project, call for described ID identifier applications project;
Wherein, identity attribute 1, identity attribute 2, identity attribute 3... identity attribute N can be sex, age, occupation, income, residence, assets, speciality, hobby ... wait the data item of any objective description user identity attribute;
That the match is successful is several for number Score=identity attribute 1 that the match is successful the match is successful number+identity attribute 2 the match is successful number+identity attribute 3+... that the match is successful is several for+identity attribute N;
Data item sum Full=identity attribute 1 data item+identity attribute 2 data item+identity attribute 3 data item+...+identity attribute N data item;
Wherein, described sample ID identifier and described applications item id identifier also can use same ID identifier to discern;
Table 1: sample identity attribute list
| Sample ID | Identity attribute 1 | Identity attribute 2 | Identity attribute 3 | ... | Identity attribute N |
| ??1 | ??S1 | ??S2 | ??S3 | ? | ??SN |
| ??2 | ??S1 | ??S2 | ??S3 | ? | ??SN |
| ??3 | ??S1 | ??S2 | ??S3 | ? | ??SN |
| ??... | ? | ? | ? | ? | ? |
| ??S | ??S1 | ??S2 | ??S3 | ? | ??SN |
Table 1
Table 2: user identity attribute list
| User ID | Identity attribute 1 | Identity attribute 2 | Identity attribute 3 | ... | Identity attribute N |
| ??1 | ??P1 | ??P2 | ??P3 | ? | ??PN |
| ??2 | ??P1 | ??P2 | ??P3 | ? | ??PN |
| ?3 | ??P1 | ??P2 | ??P3 | ? | ??PN |
| ?... | ? | ? | ? | ? | ? |
| ?M | ??P1 | ??P2 | ??P3 | ? | ??PN |
Table 2
Table 3: user identity attribute and sample identity attributes match table of degree
Table 3
Table 4: sample identity attribute and user identity attributes match table of degree
Table 4
Further provide a preferred version based on said method:
Wherein, any one identity data item of the identity attribute 1 of described sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N can be provided with different weighting Wn; Corresponding identity attribute data item, the match is successful that number is taken advantage of Wn respectively in the data item comparison, that is:
Number Score=identity attribute 1 that the match is successful the match is successful number * W1+ identity attribute 2 the match is successful number * W2+ identity attribute 3 the match is successful number * W3+...+ identity attribute N the match is successful number * Wn;
Data item sum Full=identity attribute 1 data item * W1+ identity attribute 2 data item * W2+ identity attribute 3 data item * W3+...+ identity attribute N data item * Wn;
Wherein, in case the parameter matching success of any identity attribute data that any one data item of the identity attribute 1 of sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N can be set to get rid of an E---user and identical corresponding eliminating item E, get rid of an E=0, otherwise E=1;
When getting rid of an E=0, described ID user identity matching rate is 0%, that is:
The match is successful number Score=E (identity attribute 1 the match is successful number * W1+ identity attribute 2 the match is successful number * W2+ identity attribute 3 the match is successful number * W3+...+ identity attribute N the match is successful number * Wn);
Further provide another preferred version based on said method:
Wherein, register described ID user's biological attribute data, see Table 5;
Has only described user from the on-the-spot input of client biological attribute data, compare successfully with the biological attribute data of registration, authenticate by biometric identity, the matching rate R that could export described ID identifier user and described ID identifier application item calls for described ID identifier applications project as the parameter that described ID identifier user operates described ID identifier applications project;
Table 5: user biological characteristic table
| User ID | The identity attribute biological attribute data | ... | Identity attribute N |
| ??1 | ??Bio1 | ? | ??PN |
| ??2 | ??Bio2 | ? | ??PN |
| ??3 | ??Bio3 | ? | ??PN |
| ??... | ? | ? | ? |
| ??M | ??BioN | ? | ??PN |
Table 5
According to a second aspect of the present invention, provide identity attribute matching ratio that a kind of client comprises the identity information input media to system, include:
The server apparatus that contains storer and identity attribute coupling comparing module, wherein:
(1) storer is used for the parameter of user's sample identity attribute data item of registration and preservation applications project, the data burst structure of parameter sees Table 1, wherein, the parameter of the identity attribute 1 of sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N is respectively S1, S2, S3...SN;
Sample to described targeted customer carries out the ID identiflication number, and S is the quantity of ID sample;
Storer also is used for the described sample ID of registration and preservation identifier and the unique corresponding binding relationship of applications item id identifier;
Storer can also be used for registration: with described sample identity attribute data item is masterplate, preservation has in user's the identity attribute of ID identifier, the data of identical corresponding identity attribute 1 with sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N, be respectively P1, P2, P3...PN, the data burst structure of user identity attribute data sees Table 2;
Wherein, identity attribute 1, identity attribute 2, identity attribute 3... identity attribute N can be sex, age, occupation, income, residence, assets, speciality, hobby ... wait the data item of any objective description user identity attribute;
(2) identity attribute coupling comparing module is used for:
With described ID user record is unit, with the data P1 under the user identity attribute data item of table 2, P2, P3...PN respectively with the sample identity attribute list of table 1 in parameter S 1 in the identical corresponding identity attribute data item, S2, S3...SN compares, and obtains the coupling ratio R of the identity attribute comparison of described ID user and sample, sees Table 3;
Or be unit with described ID sample record, parameter S 1 with table 1 sample identity attribute list data item, S2, S3...SN respectively with the identical corresponding data P1 of data item of table 2 user identity attribute, P2, P3...PN compares, and obtains the coupling ratio R of the identity attribute comparison of user and described ID sample, sees Table 4;
Wherein, the Score of table 3 and table 4 is each identity attribute data item comparison summation that the match is successful counts, and Full is the quantity summation of whole identity attribute data item, and user and sample identity attributes match rate are R=Score/Full*%;
According to described sample ID identifier and the unique binding relationship of described applications item id identifier, obtain the matching rate R of the applications project of the user of described ID identifier and described ID identifier;
Export described matching rate R as the parameter that described ID identifier user operates described ID identifier applications project, call for described ID identifier applications project;
Compare system based on above-mentioned user identity attributes match, a preferred version further be provided:
Wherein, in identity attribute coupling comparing module, any one data item of the identity attribute 1 of sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N can be provided with different weighting Wn; Corresponding identity attribute data item, the match is successful that number is taken advantage of Wn respectively in the data item comparison, that is:
Attributes match is successfully counted Score=identity attribute 1 the match is successful number * W1+ identity attribute 2 the match is successful number * W2+ identity attribute 3 the match is successful number * W3+...+ identity attribute N the match is successful number * Wn;
Data item sum Full=identity attribute 1 data item * W1+ identity attribute 2 data item * W2+ identity attribute 3 data item * W3+...+ identity attribute N data item * Wn;
Wherein, in identity attribute coupling comparing module, in case the parameter matching success of any identity attribute data that any one data item of the identity attribute 1 of sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N can be set to get rid of an E---user and identical corresponding eliminating item E, E=0, otherwise E=I; When getting rid of an E=0, described ID user identity matching rate is 0%, that is:
The match is successful number Score=E (identity attribute 1 the match is successful number * W1+ identity attribute 2 the match is successful number * W2+ identity attribute 3 the match is successful number * W3+...+ identity attribute N the match is successful number * Wn);
To system, further provide another preferred version based on above-mentioned identity attribute matching ratio:
Client includes biology sensor, and server end includes the biological characteristic comparing module, wherein:
Biology sensor is used to gather described ID user biological characteristic and registers or authenticate;
The biological characteristic comparing module is used for the biological attribute data of described ID user's collection in worksite, with the biological attribute data comparison of registration;
Have only described ID identifier user to authenticate by biometric identity, the matching rate R that could export described ID identifier user and described ID identifier applications project calls for described ID identifier applications project as the parameter that described ID identifier user operates described ID identifier applications project;
To system, further provide another preferred version based on above-mentioned identity attribute matching ratio:
Wherein, client also comprises second memory, be used for registration: the data item with described sample identity attribute is a masterplate, registration has in the user identity attribute of ID identifier, the data of identical corresponding identity attribute 1 with sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N are respectively P1, P2, P3...PN, the data burst structure of user identity attribute sees Table 2;
Second memory, the biological characteristic that can also be used to register the ID user that narrates splits data slot and P1, P2, P3...PN;
To system, further provide another preferred version based on above-mentioned identity attribute matching ratio:
Client comprises fingerprint U key that can hot plug or is integrated in the independent finger print safety chip of client, server end includes the biological characteristic comparing module, fingerprint U key or finger print safety chip comprise that not only fingerprint sensor also comprises second memory and CPU, wherein:
Fingerprint sensor is used for registration of the described ID user fingerprints of collection in worksite data or authentication;
The biological characteristic comparing module is used for the on-the-spot fingerprint characteristic data of importing of described ID user, with the fingerprint characteristic data comparison of registration;
Has only described ID identifier user by the fingerprint characteristic authentication, the matching rate R that could export described ID identifier user and described ID identifier applications project calls for described ID identifier applications project as the parameter that described ID identifier user operates described ID identifier applications project;
Second memory, be used for registration: the data item with described sample identity attribute is a masterplate, register in the identity attribute of the user with ID identifier, the data of identical corresponding identity attribute 1 with sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N, be respectively P1, P2, P3...PN, the data burst structure of user identity attribute sees Table 2;
Second memory, the fingerprint that can also be used to register the ID user that narrates splits data slot and P1, P2, P3...PN;
The invention has the beneficial effects as follows this parameter of coupling ratio according to user and network application service item, can judge the reasonable network bandwidth or suitable network service content to corresponding user are provided, thereby save rare day by day network bandwidth resources and server process resource, avoid user's waste plenty of time energy in the irrelevant information service simultaneously; On the other hand, can use matching rate parameter limit user to being not suitable for the visit of network application service item, for example, the restriction children are to the visit of adult's network service content.
The present invention can be applied to the expense web advertisement, the part-time prestige visitor of network, network market investigation, member's match management, client's integration managing, customer relation management, the identities match that also is adapted at web2.0 is used, for the user provides personalized difference networking products or network service.
Description of drawings
In conjunction with the accompanying drawings, other characteristics of the present invention and advantage, can by following give an example principle of the present invention is made an explanation, and from the explanation of preferred embodiment, become clearer.
Fig. 1 has shown the process flow diagram of the user identity attributes match method of one embodiment of the present invention;
Fig. 2 has shown the structural representation of the user identity attributes match system of one embodiment of the present invention
Fig. 3 shows multi-purpose computer or microcontroller hardware and system architecture synoptic diagram;
Concrete enforcement
Describe several embodiments of the present invention in detail below with reference to accompanying drawing:
According to one embodiment of the invention, be that example specifies the identity attribute matching process with registered user's fingerprint and user bound ID identifier:
Shown in Figure 1 is identity attribute matching process process flow diagram.The parameter of targeted customer's sample identity attribute of the one product JAVA of Beijing company developing instrument sees Table 6;
It is bigger to consider that position influences purchase decision proportion, and sample identity attribute 5 position parameters are set: the chief inspector is weighted to 2, and other identity attribute data item are set to 1; In addition, the 2 data item ages of identity attribute are set are attribute and get rid of an E, parameter: the age is less than 20, in case the age data that is to say Any user identity attribute 2 less than 20, user's matching rate is 0%;
This Beijing company is that the targeted customer throws in URL web advertisement project with ID schedule of samples 6, sample ID and the unique corresponding binding of the URL of advertisement.
The user can find advertisement URL by keywords such as search " software ", " JAVA ", " JAVA instruments ".Just can export matching rate R parameter through behind the finger print identifying, click the parameter call that the URL web advertisement obtains clicking cost as described ID user, the expense of promptly clicking is: 0.6 yuan of RMB*R, browse its detailed content to attract the user to click advertisement URL.On the other hand, if ad content is Rich Medias such as video/audio, calls matching rate R and distribute to described ID user and distribute corresponding bandwidth.
Step S101, the parameter of registration advertisement applications project goal user's ID sample identity attribute sees Table 6;
Wherein, be configured to: identity attribute 5 positions---chief inspector weighting is set to 2, and other identity attribute data item are set to 1; The 2 data item ages of identity attribute are that attribute is got rid of----age and got rid of less than 20 user, in case also with regard to the age data of any user's identity attribute 2 less than 20, user's matching rate is 0%;
Registration ID sample and the corresponding binding relationship of advertisement applications item id;
And be masterplate with table 6, registration ID user's identity attribute data see Table 7,
Registration ID user's finger print data sees Table 8.Itself and user ID identifier are bound,
Wherein, the advertisement applications item id is exactly the URL of advertisement applications project;
The targeted customer's of table 6:JAVA developing instrument sample identity attribute list
| Sample ID | Advertisement ID (application) | Identity attribute 1: sex | Identity attribute 2: age | Identity attribute 3: residence | Identity attribute 4: occupation | Identity attribute 5: position |
| ? | ??URL | The man | ??30-40 | Beijing | The software engineer | The chief inspector |
Table 6
Table 7: user's identity attribute table
| User ID | Identity attribute 1: sex | Identity attribute 2: age | Identity attribute 3: residence | Identity attribute 4: occupation | Identity attribute 5: position |
| ??1 | The man | ??65 | Beijing | The software engineer | Consultant |
| ??2 | The woman | ??25 | Paris | The representative of sales ﹠ marketing | The office worker |
| ??3 | The woman | ??33 | New York | Customer service | Group leader |
| ??4 | The man | ??36 | Beijing | The software engineer | The chief inspector |
| ??5 | The woman | ??39 | Beijing | Sell | The chief inspector |
| ??6 | The man | ??28 | Beijing | The software engineer | The chief inspector |
| ??7 | The man | ??19 | Beijing | The student | Unemployed |
| ??... | ? | ? | ? | ? | ? |
| ??M | ? | ? | ? | ? | ? |
Table 7
Table 8: registered user's ID and finger print data
| User ID | The user property fingerprint template |
| ??1 | ??A |
| ??2 | ??B |
| ??3 | ??C |
| ??4 | ??D |
| ??5 | ??E |
| ??6 | ??F |
| ??7 | ??G |
| ??5 | ??E |
| ?... | ? |
| ??M | ??m |
Table 8
Step S102, with the data under table 7 user's identity attribute sex, age, residence, occupation, the position data item, parameter comparison in identical with the sample identity attribute of the table 6 respectively corresponding identity attribute data item, a different weights Wn and an eliminating E parameter according to the setting of sample data item, obtain the identity attribute comparison matching ratio counting rate meter of M ID user and ID sample, see Table 9
Table 9: sample and user's identity attribute comparison matching ratio counting rate meter
Table 9
Wherein, the parameter matching of the data of sex, residence and the professional data item of user's 1 identity attribute and corresponding sample identity attribute data item is coincide, and obtains 3 the match is successful number, and get rid of a coupling, E=1;
User 2 is without any identity attribute coupling, obtains 0 the match is successful number, gets rid of a coupling, E=1;
The parameter matching of the data of the age data item of user's 3 identity attribute and corresponding sample identity attribute data item is coincide, and obtains 1 the match is successful number, and get rid of a coupling, E=1;
The parameter matching of the data of all data item of user's 4 identity attribute and corresponding sample identity attribute data item is coincide, and should obtain 5 and successfully count, and adding the position weighting is 2, actually obtains 6 the match is successful number, and gets rid of a coupling, E=1;
The parameter matching of the residence of user's 5 identity attribute, occupation and position data item and corresponding sample identity attribute data item is coincide, should obtain 3 the match is successful number, adding the position weighting is 2, actually obtains 4 the match is successful number, and do not get rid of a coupling, E=1;
The parameter matching of the sex of user's 6 identity attribute, residence, occupation and position data item and corresponding sample identity attribute data item is coincide, should obtain 4 the match is successful number, adding the position weighting is 2, actually obtains 5 the match is successful number, and do not get rid of a coupling, E=1;
The parameter matching of the sex of user's 7 identity attribute, residence data item and corresponding sample identity attribute data item is coincide, and should obtain 2 the match is successful number, but have the eliminating item at 2 ages of identity attribute successfully to mate, and E=0 is so final identities match rate is 0;
Because the weighting of position data item is 2, other 4 data item weightings are respectively 1, and the total radix of actual identity data item is 6.According to:
-----the match is successful number Score=E (identity attribute 1 the match is successful number * W1+ identity attribute 2 the match is successful number * W2+ identity attribute 3 the match is successful number * W3+...+ identity attribute N the match is successful number * Wn),
-----data item sum Full=identity attribute 1 data item * W1+ identity attribute 2 data item * W2+ identity attribute 3 data item * W3+...+ identity attribute N data item * Wn
------identity attribute matching rate R=attributes match is successfully counted/attribute data item sum * %, and the identity attribute coupling ratio that obtains user 1, user 2, user 3, user 4, user 5, user 6, user 7 and sample object user is respectively: 50%, 0,16.6%, 100%, 66.7%, 83.3%, 0;
ID sample and advertisement applications item id according to registration, just the corresponding binding relationship of advertisement URL obtains user 1, user 2, user 3, user 4, user 5, user 6, user 7 and advertisement project URL coupling ratio and is respectively: 50%, 0,16.6%, 100%, 66.7%, 83.3%, 0;
Step S103, ID user are from client collection in worksite finger print data, with the fingerprint template comparison of respective user registration in the table 8.If it fails to match, return the rapid S102 of previous step; If the match is successful, pass through fingerprint identity validation;
Step S104, described ID user export the matching rate R of described ID user and described advertisement URL by fingerprint identity validation, operate the parameter of described applications URL advertisement project as described ID user;
Step S105 finishes
In the present embodiment, described ID user clicks applications URL advertisement project, uses matching rate R parameter and is treated to: clicking cost=advertising expenditure * matching rate R.The advertising expenditure of applications URL advertisement project is 0.6RMB, and ID user is by behind the finger print identification verification, and Beijing company is that the clicked URL web advertisement defrayment of browsing sees Table 9 ':
Table 9 ': Beijing company is for clicking the URL web advertisement payment customer charge table of browsing
Table 9 '
According to another embodiment of the present invention, it is that the identity attribute matching system synoptic diagram of example specifies the identity attribute matching system that client shown in Figure 2 has fingerprint U key:
A suncream at the young woman of one cosmetics company plan product wishes at first to carry out the primary network investigation at them, and is willing to mean network surveying object payment investigation charge.
At first determine respondent's sample identity attribute, through the sample identity property parameters of determining as table 10 is discussed.
Table 10: suncream targeted customer's sample identity attribute list
Table 10
The weighting Wn of each data item of sample attribute is set to: the age is weighted to 2, and income is weighted to 3, and other are for being weighted to 1; Getting rid of an E is the gender data item, and parameter is the male sex;
Above configuration parameter registers to the identity attribute matching system and comes match user to carry out the network application investigation.
User's identity attribute sees Table 11;
Can also be provided with in the applications survey item system: have only to surpass 60% user with survey item matching rate R and could participate in survey item, the investigation charge that cosmetics company pays the user is 2 yuan of RMB*R.
Table 11: user's identity attribute table
| User ID | Identity attribute 1: sex | Identity attribute 2: age | Identity attribute 3: education | Identity attribute 4: income | Identity attribute 5: hobby |
| ??1 | The man | ??27 | Junior college | 40,000 RMB | Outdoor activities |
| ??2 | The woman | ??29 | Undergraduate course | 50,000 RMB | Outdoor activities |
| ??3 | The woman | ??27 | The junior middle school | 2.5 ten thousand RMB | Online game |
| ??4 | The man | ??18 | Undergraduate course is being read | ??0RMB | Outdoor activities |
| ??5 | The woman | ??25 | Senior middle school | 30,000 RMB | Mahjong |
| ??6 | The woman | ??30 | The junior middle school | 30,000 Renminbi | Outdoor activities |
| ??7 | The woman | ??25 | The postgraduate is reading | 10,000 RMB | Outdoor activities |
| ??... | ? | ? | ? | ? | ? |
| ??M | ? | ? | ? | ? | ? |
Table 11
Table 12: sample and user's identity attribute comparison matching ratio counting rate meter
Table 12
Table 13: registered user's ID and finger print data
| User ID | User identity attribute fingerprint template |
| ??1 | ??A |
| ??2 | ??B |
| ??3 | ??C |
| ??4 | ??D |
| ??5 | ??E |
| ??6 | ??F |
| ??7 | ??G |
| ??... | ? |
| ??M | ??M |
Table 13
As shown in Figure 2, the identity attribute matching system includes: server 1, and client 3 with the fingerprint U KEY 2 that is connected with client, connects 1,2 and 3 data circuit 100, wherein;
(1) data circuit 100, can comprise the network equipment, communication line, and computing machine, single-chip microcomputers etc. are used for server is connected with each terminal with client, carry out data communication;
(2) server 1, comprises biological characteristic comparing module 1-1 at least, identity attribute comparing module 1-2, data output input/communication interface 1-3, storer 1-4;
Storer 1-4 is used to register the fingerprint template with ID identifier, sees Table 13;
Storer 1-4 also is used to register the sample identity property parameters, and see Table 10 and the configuration parameter of sample identity attribute: the age is weighted to 2, and income is weighted to 3, and other are for being weighted to 1, and getting rid of an item E is the gender data item, and parameter is the male sex's a comparison configuration parameter;
Data output input/communication interface 1-3 is used for carrying out data communication by data circuit 100 with client 3 and fingerprint U key2;
Identity attribute comparing module 1-2, to be registered in the data (table 11 an ID user's wherein identity attribute data recording) of the user identity attribute with ID identifier of the second memory 2-4 of fingerprint U KEY 2, to carry out matching ratio right with the schedule of samples 10 of the storer 1-4 that is registered in server 1; Be weighted to 2 according to the age, income is weighted to 3, and other are for being weighted to 1, and getting rid of an item E is the gender data item, and parameter is the male sex's coupling setting, obtains the comparison matching rate R result data of table 12, and is saved in storer 1-4;
Biological characteristic comparing module 1-1 is used for the on-the-spot scanning fingerprint of ID user and compares with the fingerprint template of the table 13 that is registered in storer 1-4,
Have only that the match is successful by behind the finger print identifying, native system could be exported described ID user's matching rate R, is used for the parameter that described user participates in described survey item, and the described URL survey item of confession is called;
(described user handles and sends to server 1 from the on-the-spot scanning fingerprint data of the biology sensor 2-1 of fingerprint U KEY 2 through biological interface 2-2)
(3) fingerprint U key 2 comprises biology sensor 2-1 at least, biological interface 2-2, data output input/communication interface 2-3, second memory 2-4;
Biology sensor 2-1 is used for the on-the-spot scanning fingerprint of described ID user and registers or authenticate;
Biological interface 2-2 is used to transmit and handle finger print data or the fingerprint template that biotinylated biomolecule sensor 2-1 obtains;
Data output input/communication interface 2-3 is used for fingerprint U key 2 by data circuit 100 and client 3, and server 1 carries out data communication;
Second memory 2-4 is used to preserve the data of described ID user's oneself identity attribute data item, is table 9 user record wherein.These data also can be to preserve through behind the server for encrypting, and user oneself can't revise;
In addition, according to the setting in the survey item system of applications: have only to surpass 60% user with survey item matching rate R and could participate in survey item, just can open, fill in and submit to the URL questionnaire, the payment user's of cosmetics company investigation charge is 2 yuan of RMB*R, obtain user's probe expenses statement, see Table 14;
Table 14: survey item is according to the investigation cost table of user's matching rate R payment
| User ID | Matching rate R (successfully number/total item * %) | Investigation charge (RMB2*R) |
| ??1 | ??0％ | Be lower than 60% restriction and participate in 0 |
| ??2 | ??100％ | ??RMB?2.00 |
| ??3 | ??37.5％ | Be lower than 60% restriction and participate in 0 |
| ??4 | ??0％ | Be lower than 60% restriction and participate in 0 |
| ??5 | ??75％ | ??RMB?1.5 |
| ??6 | ??87.5％ | ??RMB?1.75 |
| ??7 | ??62.5％ | ??RMB?1.25 |
| ??... | ? | ? |
| ??M | ??R | ? |
Table 14
Though described several embodiments of the present invention in conjunction with the accompanying drawings, those of ordinary skills can make various distortion or modification within the scope of the appended claims.For example, can conversion other the mode of biological identification, the palm line feature authentication data, types of facial makeup in Beijing operas biometric data, retinal images biometric data, palmmprint recognition data, dorsal metacarpal veins train of thought pattern recognition data, speech recognition data, the person's handwriting recognition data that comprise human body, gait, DNA waits similar biological attribute data.
The hardware of identity attribute matching system client not only can be desktop computer, notebook computer, PDA, palm PC, server, fingerprint U KEY, the finger print safety chip, mobile phone and can be special-purpose biological characteristic autonomous device, or even digital household appliances, these hardware also are fit to the server of identity attribute matching system, and they all are conventional computer system, micro controller system or the embedded system structures that comprises system bus, CPU, storer and input/output interface, as shown in Fig. 3.
The just embodiment of this invention described in the instructions, various not illustrating is construed as limiting the essence of an invention content, the person of an ordinary skill in the technical field is reading behind the instructions and can make an amendment or be out of shape the above embodiment of narrating, and does not deviate from essence of an invention and scope.
Claims (8)
1. a user identity mates comparison method, it is characterized in that carrying out following steps:
(a) parameter of user's sample identity attribute data item of registration applications project, the data burst structure of parameter sees Table 1;
Wherein, the parameter of the identity attribute 1 of sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N data item is respectively S1, S2, and S3...SN carries out ID identifier numbering to sample, and S is the quantity of ID sample;
Register the unique corresponding binding relationship of described sample ID identifier and applications item id identifier;
Data item with described sample identity attribute is a masterplate, register in the identity attribute of the user with ID identifier, the data of identical corresponding identity attribute 1 with sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N, be respectively P1, P2, P3...PN, the data burst structure of user identity attribute sees Table 2, wherein, M is the ID number of users of registration;
(b) be unit with described ID user record, with the data P1 under the user identity attribute data item of table 2, P2, P3...PN respectively with the sample identity attribute list of table 1 in parameter S 1 in the identical corresponding identity attribute data item, S2, S3...SN compares, and obtains the coupling ratio R of the identity attribute comparison of described ID user and sample, sees Table 3;
Or be unit with described ID sample record, parameter S 1 with table 1 sample identity attribute list data item, S2, S3...SN respectively with the user identity attribute data item of table 2 under identical corresponding data P1, P2, P3...PN compares, and obtains the coupling ratio R of the identity attribute comparison of user and described ID sample, sees Table 4;
Wherein, the Score of table 3 and table 4 is each identity attribute data item comparison summation that the match is successful counts, and Full is the quantity summation of whole identity attribute data item, and user and sample identity attributes match rate are R=Score/Full*%
(c), obtain the coupling ratio R of the applications project of the user of described ID identifier and described ID identifier according to described sample ID identifier and the unique binding relationship of described applications item id identifier;
Export described coupling ratio R as the parameter that described ID identifier user operates described ID identifier applications project, call for described ID identifier applications project;
Wherein, identity attribute 1, identity attribute 2, identity attribute 3... identity attribute N can be sex, age, occupation, income, residence, assets, speciality, hobby ... wait the data item of any objective description user identity attribute;
That the match is successful is several for number Score=identity attribute 1 that the match is successful the match is successful number+identity attribute 2 the match is successful number+identity attribute 3+... that the match is successful is several for+identity attribute N;
Data item sum Full=identity attribute 1 data item+identity attribute 2 data item+identity attribute 3 data item+...+identity attribute N data item;
Wherein, described sample ID identifier and described applications item id identifier also can use same ID identifier to discern;
Table 1: sample identity attribute list
Table 1
Table 2: user identity attribute list
Table 2
Table 3: user identity attribute and sample identity attributes match table of degree
Table 3
Table 4: sample identity attribute and user identity attributes match table of degree
Table 4
2. user identity coupling comparison method according to claim 1 is characterized in that:
Wherein, any one identity data item of the identity attribute 1 of described sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N can be provided with different weighting Wn; Corresponding identity attribute data item, the match is successful that number is taken advantage of Wn respectively in the data item comparison, that is:
Number Score=identity attribute 1 that the match is successful the match is successful number * W1+ identity attribute 2 the match is successful number * W2+ identity attribute 3 the match is successful number * W3+...+ identity attribute N the match is successful number * Wn;
Data item sum Full=identity attribute 1 data item * W1+ identity attribute 2 data item * W2+ identity attribute 3 data item * W3+...+ identity attribute N data item * Wn;
Wherein, in case the parameter matching success of any identity attribute data that any one data item of the identity attribute 1 of sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N can be set to get rid of an E---user and identical corresponding eliminating item E, get rid of an E=0, otherwise E=1;
When getting rid of an E=0, described ID user identity matching rate is 0%, that is:
The match is successful number Score=E (identity attribute 1 the match is successful number * W1+ identity attribute 2 the match is successful number * W2+ identity attribute 3 the match is successful number * W3+...+ identity attribute N the match is successful number * Wn);
3. according to claim 1 or 2 described user identity coupling comparison methods, it is characterized in that:
Wherein, register described ID user's biological attribute data, see Table 5;
Has only described user from the on-the-spot input of client biological attribute data, compare successfully with the biological attribute data of registration, authenticate by biometric identity, the matching rate R that could export described ID identifier user and described ID identifier application item calls for described ID identifier applications project as the parameter that described ID identifier user operates described ID identifier applications project;
Table 5: user biological characteristic table
Table 5
4. a user identity matching ratio comprises the client with identity information input media to system, it is characterized in that including:
The server apparatus that contains storer and identity attribute coupling comparing module, wherein:
(1) storer is used for the parameter of user's sample identity attribute data item of registration and preservation applications project, the data burst structure of parameter sees Table 1, wherein, the parameter of the identity attribute 1 of sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N is respectively S1, S2, S3...SN;
Sample to described targeted customer carries out the ID identiflication number, and S is the quantity of ID sample;
Storer also is used for the described sample ID of registration and preservation identifier and the unique corresponding binding relationship of applications item id identifier;
Storer can also be used for registration: with described sample identity attribute data item is masterplate, preservation has in user's the identity attribute of ID identifier, the data of identical corresponding identity attribute 1 with sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N, be respectively P1, P2, P3...PN, the data burst structure of user identity attribute data sees Table 2;
Wherein, identity attribute 1, identity attribute 2, identity attribute 3... identity attribute N can be sex, age, occupation, income, residence, assets, speciality, hobby ... wait the data item of any objective description user identity attribute;
(2) identity attribute coupling comparing module is used for:
With described ID user record is unit, with data P1 under the user identity attribute data item of table 2, P2, P3...PN respectively with the sample identity attribute list of table 1 in parameter S 1 in the identical corresponding identity attribute data item, S2, S3...SN compares, and obtains the coupling ratio R of the identity attribute comparison of described ID user and sample, sees Table 3;
Or be unit with described ID sample record, parameter S 1 with table 1 sample identity attribute list data item, S2, S3...SN respectively with the identical corresponding data P1 of data item of table 2 user identity attribute, P2, P3...PN compares, and obtains the coupling ratio R of the identity attribute comparison of user and described ID sample, sees Table 4;
Wherein, the Score of table 3 and table 4 is each identity attribute data item comparison summation that the match is successful counts, and Full is the quantity summation of whole identity attribute data item, and user and sample identity attributes match rate are R=Score/Fu11*%;
According to described sample ID identifier and the unique binding relationship of described applications item id identifier, obtain the matching rate R of the applications project of the user of described ID identifier and described ID identifier;
Export described matching rate R as the parameter that described ID identifier user operates described ID identifier applications project, call for described ID identifier applications project;
According to the described user identity matching ratio of claim 4 to system, it is characterized in that:
Wherein, in identity attribute coupling comparing module, any one data item of the identity attribute 1 of sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N can be provided with different weighting Wn; Corresponding identity attribute data item, the match is successful that number is taken advantage of Wn respectively in the data item comparison, that is:
Attributes match is successfully counted Score=identity attribute 1 the match is successful number * W1+ identity attribute 2 the match is successful number * W2+ identity attribute 3 the match is successful number * W3+...+ identity attribute N the match is successful number * Wn;
Data item sum Full=identity attribute 1 data item * W1+ identity attribute 2 data item * W2+ identity attribute 3 data item * W3+...+ identity attribute N data item * Wn;
Wherein, in identity attribute coupling comparing module, in case the parameter matching success of any identity attribute data that any one data item of the identity attribute 1 of sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N can be set to get rid of an E---user and identical corresponding eliminating item E, E=0, otherwise E=1; When getting rid of an E=0, described ID user identity matching rate is 0%, that is:
The match is successful number Score=E (identity attribute 1 the match is successful number * W1+ identity attribute 2 the match is successful number * W2+ identity attribute 3 the match is successful number * W3+...+ identity attribute N the match is successful number * Wn);
According to claim 4 or 5 described user identity matching ratios to system, it is characterized in that:
Client includes biology sensor, and server end includes the biological characteristic comparing module, wherein:
Biology sensor is used to gather described ID user biological characteristic and registers or authenticate;
The biological characteristic comparing module is used for the biological attribute data of described ID user's collection in worksite, with the biological attribute data comparison of registration;
Have only described ID identifier user to authenticate by biometric identity, the matching rate R that could export described ID identifier user and described ID identifier applications project calls for described ID identifier applications project as the parameter that described ID identifier user operates described ID identifier applications project;
According to the described user identity matching ratio of claim 6 to system, it is characterized in that:
Wherein, client also comprises second memory, be used for registration: the data item with described sample identity attribute is a masterplate, registration has in the user identity attribute of ID identifier, the data of identical corresponding identity attribute 1 with sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N are respectively P1, P2, P3...PN, the data burst structure of user identity attribute sees Table 2;
Second memory, the biological characteristic that can also be used to register the ID user that narrates splits data slot and P1, P2, P3...PN;
According to claim 4 or 5 described user identity matching ratios to system, it is characterized in that:
Client comprises fingerprint U key that can hot plug or is integrated in the independent finger print safety chip of client, server end includes the biological characteristic comparing module, fingerprint U key or finger print safety chip comprise that not only fingerprint sensor also comprises second memory and CPU, wherein:
Fingerprint sensor is used for registration of the described ID user fingerprints of collection in worksite data or authentication;
The biological characteristic comparing module is used for the on-the-spot fingerprint characteristic data of importing of described ID user, with the fingerprint characteristic data comparison of registration;
Has only described ID identifier user by the fingerprint characteristic authentication, the matching rate R that could export described ID identifier user and described ID identifier applications project calls for described ID identifier applications project as the parameter that described ID identifier user operates described ID identifier applications project;
Second memory, be used for registration: the data item with described sample identity attribute is a masterplate, register in the identity attribute of the user with ID identifier, the data of identical corresponding identity attribute 1 with sample identity attribute data item, identity attribute 2, identity attribute 3... identity attribute N, be respectively P1, P2, P3...PN, the data burst structure of user identity attribute sees Table 2;
Second memory, the fingerprint that can also be used to register the ID user that narrates splits data slot and P1, P2, P3...PN.
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