CN105138897A - Method and device for determining user right - Google Patents
Method and device for determining user right Download PDFInfo
- Publication number
- CN105138897A CN105138897A CN201510524694.3A CN201510524694A CN105138897A CN 105138897 A CN105138897 A CN 105138897A CN 201510524694 A CN201510524694 A CN 201510524694A CN 105138897 A CN105138897 A CN 105138897A
- Authority
- CN
- China
- Prior art keywords
- user
- confidence
- degree
- social platform
- correlation coefficient
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 39
- 230000002452 interceptive effect Effects 0.000 claims abstract description 37
- 230000007115 recruitment Effects 0.000 claims description 5
- 230000009467 reduction Effects 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 11
- 230000008569 process Effects 0.000 description 10
- 230000006870 function Effects 0.000 description 7
- 238000004590 computer program Methods 0.000 description 6
- 238000011156 evaluation Methods 0.000 description 6
- 230000006399 behavior Effects 0.000 description 5
- 230000006854 communication Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000003203 everyday effect Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 2
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 1
- 235000010627 Phaseolus vulgaris Nutrition 0.000 description 1
- 244000046052 Phaseolus vulgaris Species 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 235000012907 honey Nutrition 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/45—Structures or tools for the administration of authentication
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/2145—Inheriting rights or properties, e.g., propagation of permissions or restrictions within a hierarchy
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Security & Cryptography (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Computer Hardware Design (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention discloses a method and device for determining user right. The method comprises the steps of determining the initial confidence coefficient of a user, determining the correlation coefficient corresponding to each correlation user according to interactive data between the user and at least one correlation user in a social platform, correcting the initial confidence coefficient and obtaining the confidence coefficient of the user based on the correlation coefficients and the confidence coefficients of the correlation users, and determining the user right of the user based on the confidence coefficient. According to the method and device, the confidence coefficient of the user is determined according to the confidence coefficients of the correlation users, the user right is determined based on the confidence coefficient of the user, and then the purpose of determining the user right correctly is realized.
Description
Technical field
The application relates to field of computer technology, is specifically related to technical field of data processing, particularly relates to the method and device of determining user right.
Background technology
The provider of some services is often according to the degree of reliability of user, and determine user right, such as, bank can determine the facility extent of its credit card according to the credit standing of user.Along with the develop rapidly of Internet technology, no longer be confined to investigate the traditional index such as its people's essential information, income level and amount of assets to the assessment of the individual degree of reliability, and the activity that can produce in internet according to user further or behavior, determine his individual confidence level.Such as, in the prior art, the reliability situation of this user can be passed judgment on according to the influence power of user in social platform.Under normal circumstances, the influence power of user and his degree of confidence positive correlation can be thought.
But, the usual Comparison of Management of existing social platform is loose, the authenticity of its content cannot obtain Reliable guarantee, therefore evaluate by means of only the data of individual subscriber in social platform, can cause individual confidence evaluation inaccurate, thus the problem causing the user right scope determined excessive or too small.
Summary of the invention
In view of above-mentioned defect of the prior art or deficiency, expect to provide a kind of scheme determining individual subscriber extent of competence reliably.In order to realize above-mentioned one or more object, this application provides the method and device of determining user right.
First aspect, this application provides a kind of method determining user right, comprising: the initial degree of confidence determining user; The interactive data in social platform according to described user and at least one associated user, determines the correlation coefficient corresponding to each described associated user; Based on the degree of confidence of described correlation coefficient and described associated user, described initial degree of confidence is revised, obtains the degree of confidence of described user; Based on described degree of confidence, determine the user right of described user.
Second aspect, this application provides a kind of device determining user right, comprising: determination module, for determining the initial degree of confidence of user; Coefficient determination module, for the interactive data in social platform according to described user and at least one associated user, determines the correlation coefficient corresponding to each described associated user; Correcting module, for the degree of confidence based on described correlation coefficient and described associated user, revises described initial degree of confidence, obtains the degree of confidence of described user; Authority determination module, for based on described degree of confidence, determines the user right of described user.
The method of the determination user right that the application provides and device, can utilize the degree of confidence with the associated user of user's close relation in social platform, determine the degree of confidence of user itself, and determine the available user right of user based on this degree of confidence.By the degree of confidence utilizing close friend's degree of confidence to calculate user, the accuracy of confidence evaluation can be improved, thus more accurate and appropriate user right scope can be determined for user.
Accompanying drawing explanation
By reading the detailed description done non-limiting example done with reference to the following drawings, the other features, objects and advantages of the application will become more obvious:
Fig. 1 is the process flow diagram of an embodiment of the method for the application's determination user right;
Fig. 2 is the process flow diagram of another embodiment of the method for the application's determination user right;
Fig. 3 is the functional module construction schematic diagram of an embodiment of the device of the application's determination user right;
Fig. 4 is the structural representation of the computer system be suitable for for the terminal device or server realizing the embodiment of the present application.
Embodiment
Below in conjunction with drawings and Examples, the application is described in further detail.Be understandable that, specific embodiment described herein is only for explaining related invention, but not the restriction to this invention.It also should be noted that, for convenience of description, in accompanying drawing, illustrate only the part relevant to Invention.
It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.Below with reference to the accompanying drawings and describe the application in detail in conjunction with the embodiments.
Please refer to Fig. 1, it illustrates the flow process 100 of an embodiment of the method for the application's determination user right.The present embodiment is mainly applied in this way in the terminal needing to authorize user and illustrates, this terminal can comprise the server running financial service function, such as run the server of bank loan system, also can comprise the application server etc. of the operating right needing to determine user.The method of the determination user right of the present embodiment, comprises the following steps:
As shown in Figure 1, in a step 101, the initial degree of confidence of user is determined.
In the present embodiment, user can refer to that those need to carry out confidence level estimation, to determine the user of its user right according to its degree of confidence.Degree of confidence may be used for sign user can by the degree of trusting.Usually, degree of confidence can represent with a numerical value.Alternatively, degree of confidence can represent by degree of confidence.When determining the initial degree of confidence of user, can determine according to the behavior of user itself or the user profile provided.Such as, according to user's consumption in the past and refund record, the initial degree of confidence of user can be determined.The initial degree of confidence obtained like this can represent the credit reference value of this user.
In an optional implementation of the present embodiment, the initial degree of confidence of user can be determined based on following at least one item: the information that user issues in social platform; User is at the influence index of social platform; The matching degree of the reference information of user and the user profile in social platform.
Alternatively, when the information issued in social platform according to user determines its initial degree of confidence, first can carry out keyword abstraction to the Word message that user issues in social platform.These Word messages can be pure words information, also can be the descriptive matter in which there information issued together with pictorial information, audio-frequency information or multimedia messages.Then semantic analysis is carried out to the key word obtained, thus determine consumption habit, the information such as consuming capacity and individual attainment of user.Finally, the initial degree of confidence of user is determined according to these information.
Alternatively, when determining its initial degree of confidence according to user at the influence index of social platform, first can use PageRank (page rank) method, determining the influence index of user in social platform.The core concept of PageRank is, if on the internet webpage link by other webpages a lot of, illustrate that it is subject to general admitting and trust, so its rank just height.Specific in social platform, if the number of times that the content that user delivers is forwarded or quotes is more, illustrate that the degree that this user is approved and trusts is higher, then he is larger to the influence power of other users, particularly, the influence index of a user in social platform, can pass through his concern or friend relation, and the interest level etc. of other users to the information content that it is issued is determined.Usually, the initial degree of confidence of user and its influence index positive correlation in social platform, the higher then initial degree of confidence of influence power is higher.
Alternatively, when determining its initial degree of confidence according to the matching degree of the reference information of user and the user profile in social platform, the reference information of user first can be obtained, and the user profile of filling in when its carrying out in social platform is registered.Wherein, reference information can refer to the personal credit database set up by specific office gather, arrange, preserve, for commercial bank and individual provide credit report inquiry service, for monetary policy formulate, financial supervision and law, rules and regulations other purposes personal credit information about information service uses is provided.When said mechanism or department need to evaluate individual degree of confidence, the reference information of user can be obtained.The user profile of filling in when the carrying out of user in social platform is registered may be real information, also may be the information that user at will makes up.Because reference information can be counted as completely real user profile, therefore when the two being mated, the information that matching degree higher explanation user fills in is truer, and the information that matching degree lower explanation user fills in is more false.The initial degree of confidence of user can with matching degree positive correlation, that is, its initial degree of confidence truer of the user profile in social platform is higher, and its initial degree of confidence more untrue of the user profile in social platform is lower.
In the present embodiment, social platform just refers to social networks and SNS (SocialNetworkService).Social networks implication comprises hardware, software, service and application, and people can freely deliver various information in social networks, and carries out interaction with other user.Common social platform comprises: the Web Community such as blog, microblogging, micro-letter, official of Baidu mhkc, BBS (BulletinBoardSystem, BBS(Bulletin Board System)).
Then, in a step 102, the interactive data in social platform according to user and at least one associated user, determines the correlation coefficient corresponding to each associated user.
In the present embodiment, the correlation coefficient of user and associated user may be used for the intimate degree between characterizing consumer and associated user.When determining the correlation coefficient of user and associated user, can using the two interactive data in social platform as definition base.Interactive data can comprise the data of that user or associated user perform, relevant with the other side all operations generation.Such as, can determine correlation coefficient according to user and the mutual plusing good friend of associated user or the time paid close attention to mutually, more early, then correlation coefficient is higher for the time gap current point in time of the two mutual plusing good friend or concern mutually.Correlation coefficient can also be determined according to user to the remarks of associated user or grouping, if user to the remarks of a certain associated user for " boudoir honey " or be divided into " close friend " group, then user is just higher to the correlation coefficient of this associated user.
In an optional implementation of the present embodiment, user and associated user good friend or pay close attention to mutually each other in social platform.Particularly, the associated user of user in social platform should be good friend or the user that pays close attention to mutually each other, and does not comprise those and paid close attention to user, and the user that user does not pay close attention to.Because these users are probably the bean vermicelli of user purely, and do not have substantial friends with user, the confidence evaluation for user does not have actual reference value.
Then, in step 103, based on the degree of confidence of correlation coefficient and associated user, initial degree of confidence is revised, obtains the degree of confidence of user.
When after the correlation coefficient determining associated user in above-mentioned steps 102, based on the degree of confidence of correlation coefficient and associated user, the initial degree of confidence obtained in a step 101 can be revised.Particularly, can the first-selected degree of confidence obtaining associated user.In the present embodiment, the degree of confidence of associated user may be used for the credit standing representing associated user.When obtaining the degree of confidence of associated user, directly can obtain related data from existing confidence data storehouse, also can obtain its degree of confidence according to the behavior before associated user.In a kind of possible implementation, the mode of the initial degree of confidence of the determination user described in above-mentioned steps 101 can be utilized, obtain the degree of confidence of associated user.Now, the initial degree of confidence of the associated user determined is exactly its degree of confidence.In the implementation that another kind is possible, if the system of the method for the determination user right of execution the present embodiment and other credit system are (such as, the credit evaluation system of bank) there is cooperative relationship, then the degree of confidence of associated user directly can be obtained from other credit systems.
After obtaining the degree of confidence of associated user, using the benchmark degree of confidence of initial degree of confidence as user, using correlation coefficient as transfer weight, the degree of confidence of associated user can be transferred to user.Like this, the final degree of confidence of user can just be obtained.
Finally, at step 104, based on degree of confidence, the user right of user is determined.
When after the degree of confidence determining user in above-mentioned steps 103, scope that user is authorized, the namely user right of user can be determined based on this degree of confidence further.Usually, the scope of user right and its degree of confidence positive correlation.The degree of confidence of user is higher, and its obtainable user right higher grade, and extent of competence is larger.Such as, for financial services system (as bank), user right can comprise loan limit or overdraft of credit card amount etc.If the degree of confidence of a user is higher, its loan application is just more easily granted, and its loan limit also can be higher.For application service system, user right can comprise the authority etc. to operating or obtain Premium Features to application.If the degree of confidence of a user is very high, then can authorize its some special user rights, such as new merit is on probation.
The method of the determination user right that the present embodiment provides, can utilize the degree of confidence with the associated user of user's close relation in social platform, determine the degree of confidence of user itself, and determines the available user right of user based on this degree of confidence.By the degree of confidence utilizing close friend's degree of confidence to calculate user, the accuracy of confidence evaluation can be improved, thus more accurate and appropriate user right scope can be determined for user.
Please further refer to Fig. 2, it illustrates the flow process 200 of another embodiment of the method for the application's determination user right.
As shown in Figure 2, in step 201, the initial degree of confidence of user is determined.This step is identical with the step 101 in Fig. 1, does not repeat them here.
Then, in step 202., the interactive frequency in social platform according to user and at least one associated user, determines the correlation coefficient corresponding to each associated user.
In the present embodiment, correlation coefficient the interactive frequency in social platform can be determined by user and associated user.Interactive frequency can refer to user and associated user average interactive number of times within a predetermined period of time, and such as can add up and refer to that user and associated user are within nearest half a year or three months, every day or average interactive number of times are weekly as interactive frequency.When the interactive number of times of counting user and associated user, can using carrying out between user and associated user commenting on ,, forwarding total degree as interactive number of times.User and associated user average interactive number of times is within a predetermined period of time more, and the relation of both explanations is more intimate, then the correlation coefficient that this associated user is corresponding will be higher.Particularly, the correlation coefficient M of any associated user i and user
ican be obtained by following formula:
Wherein, N
jfor the total degree of jGe chronomere interior the associated user i such as (such as week or sky) and user interaction, n is the quantity (such as always number of days or total all numbers etc.) of carrying out the chronomere added up, n be more than or equal to 1 positive integer.
Alternatively, after obtaining correlation coefficient corresponding to each associated user, can also be normalized correlation coefficient further, such as, by each correlation coefficient divided by the maximal value in all correlation coefficients, thus obtain the correlation coefficient after normalization, so that subsequent calculations.
Alternatively, in step 203, if the recruitment in the interactive frequency predetermined time cycle of arbitrary associated user and user or reduction exceed interactive frequency threshold, then correlation coefficient corresponding for this associated user is set to 0.
In the present embodiment, an interactive frequency threshold can be preset, such as 3 times/day.When the recruitment of the interactive frequency of some associated users and user or reduction exceed this interactive frequency threshold, be such as add up the time cycle with the moon, associated user and the user interactive number of times of every day when March is 0.1 time, to suddenly increasing sharply during the April to every day 4 times, and become every day 0.2 time to the May.Then can think that this associated user and user are the repeatedly mutual-action behaviors occurred because of certain provisional relation, such as associated user is the friend that user gets to know due to certain work relationship, and this work relationship only continue for one month April, so the two there occurs repeatedly mutual-action behavior within the April, and after this relation broken, this interaction also obviously weakens.This associated user can be regarded as a kind of provisional intimate user, but not the present embodiment to excavate can the associated user of credit situation of characterizing consumer.Therefore, the correlation coefficient of this class associated user can be set to 0, with the degree of confidence avoiding it to affect user.
Then, in step 204, based on the degree of confidence of correlation coefficient and associated user, initial degree of confidence is revised, obtains the degree of confidence of user.
In the present embodiment, the degree of confidence C of user can be determined according to following formula:
Wherein, C
0for the initial degree of confidence of user, C
iand M
ibe respectively degree of confidence and the correlation coefficient of i-th associated user, n is the sum of associated user, n be more than or equal to 1 positive integer.
Finally, in step 205, based on degree of confidence, the user right of user is determined.This step is identical with the step 104 in Fig. 1, does not repeat them here.
The method of the determination user right that the present embodiment provides, correlation coefficient therebetween can be determined according to the interactive frequency between associated user and user, and using the weight coefficient of this correlation coefficient as the degree of confidence of associated user, further increase the accuracy of confidence level estimation.
Please further refer to Fig. 3, it illustrates the structural representation of an embodiment of the device of the application's determination user right.
As shown in Figure 3, the device 300 of the determination user right of the present embodiment comprises: determination module 310, coefficient determination module 320, correcting module 330 and authority determination module 340.
Determination module 310, for determining the initial degree of confidence of user.
Coefficient determination module 320, for the interactive data in social platform according to user and at least one associated user, determines the correlation coefficient corresponding to each associated user.
Correcting module 330, for the degree of confidence based on correlation coefficient and associated user, revises initial degree of confidence, obtains the degree of confidence of user.
Authority determination module 340, for based on degree of confidence, determines the user right of user.
In an optional implementation of the present embodiment, determination module 310 is further used for the initial degree of confidence determining user based on following at least one item:
The information that user issues in social platform;
User is at the influence index of social platform;
The matching degree of the reference information of user and the user profile in social platform.
In an optional implementation of the present embodiment, interactive data comprises interactive frequency.
In an optional implementation of the present embodiment, coefficient determination module 320 also for: if the interactive frequency of arbitrary associated user and user recruitment within a predetermined period of time or reduction exceed interactive frequency threshold, then correlation coefficient corresponding for this associated user is set to 0.
In an optional implementation of the present embodiment, user and associated user good friend or pay close attention to mutually each other in social platform.
In an optional implementation of the present embodiment, correcting module 340 determines the degree of confidence C of user according to following formula:
Wherein, C
0for the initial degree of confidence of described user, C
iand M
ibe respectively degree of confidence and the correlation coefficient of i-th associated user, n is the sum of described associated user.
Should be appreciated that all unit of recording in Fig. 3 or module corresponding with each step in the method described with reference to Fig. 1-2.Thus, the operation described for method above and feature are equally applicable to device in Fig. 3 and the unit wherein comprised or module, do not repeat them here.
The device of the determination user right that the present embodiment provides, can utilize the degree of confidence with the associated user of user's close relation in social platform, determine the degree of confidence of user itself, and determines the available user right of user based on this degree of confidence.By the degree of confidence utilizing close friend's degree of confidence to calculate user, the accuracy of confidence evaluation can be improved, thus more accurate and appropriate user right scope can be determined for user.
Below with reference to Fig. 4, it illustrates the structural representation of the computer system 400 be suitable for the terminal device or server realizing the embodiment of the present application.
As shown in Figure 4, computer system 400 comprises CPU (central processing unit) (CPU) 401, and it or can be loaded into the program random access storage device (RAM) 403 from storage area 408 and perform various suitable action and process according to the program be stored in ROM (read-only memory) (ROM) 402.In RAM403, also store system 400 and operate required various program and data.CPU401, ROM402 and RAM403 are connected with each other by bus 404.I/O (I/O) interface 405 is also connected to bus 404.
I/O interface 405 is connected to: the importation 406 comprising keyboard, mouse etc. with lower component; Comprise the output 407 of such as cathode-ray tube (CRT) (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.; Comprise the storage area 408 of hard disk etc.; And comprise the communications portion 409 of network interface unit of such as LAN card, modulator-demodular unit etc.Communications portion 409 is via the network executive communication process of such as the Internet.Driver 410 is also connected to I/O interface 405 as required.Detachable media 411, such as disk, CD, magneto-optic disk, semiconductor memory etc., be arranged on driver 410 as required, so that the computer program read from it is mounted into storage area 408 as required.
Especially, according to embodiment of the present disclosure, the process that reference flow sheet describes above may be implemented as computer software programs.Such as, embodiment of the present disclosure comprises a kind of computer program, and it comprises the computer program visibly comprised on a machine-readable medium, and described computer program comprises the program code for the method shown in flowchart.In such embodiments, this computer program can be downloaded and installed from network by communications portion 409, and/or is mounted from detachable media 411.
Process flow diagram in accompanying drawing and block diagram, illustrate according to the architectural framework in the cards of the system of various embodiments of the invention, method and computer program product, function and operation.In this, each square frame in process flow diagram or block diagram can represent a part for module, program segment or a code, and a part for described module, program segment or code comprises one or more executable instruction for realizing the logic function specified.Also it should be noted that at some as in the realization of replacing, the function marked in square frame also can be different from occurring in sequence of marking in accompanying drawing.Such as, in fact the square frame that two adjoining lands represent can perform substantially concurrently, and they also can perform by contrary order sometimes, and this determines according to involved function.Also it should be noted that, the combination of the square frame in each square frame in block diagram and/or process flow diagram and block diagram and/or process flow diagram, can realize by the special hardware based system of the function put rules into practice or operation, or can realize with the combination of specialized hardware and computer instruction.
Be described in module involved in the embodiment of the present application to be realized by the mode of software, also can be realized by the mode of hardware.Described module also can be arranged within a processor, such as, can be described as: a kind of processor comprises determination module, coefficient determination module, correcting module and authority determination module.Wherein, the title of these modules does not form the restriction to this module itself under certain conditions, and such as, determination module can also be described to " for determining the module of the initial degree of confidence of user ".
As another aspect, present invention also provides a kind of computer-readable recording medium, this computer-readable recording medium can be the computer-readable recording medium comprised in device described in above-described embodiment; Also can be individualism, be unkitted the computer-readable recording medium allocated in terminal.Described computer-readable recording medium stores more than one or one program, and described program is used for performance description in the method for the determination user right of the application by one or more than one processor.
More than describe and be only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art are to be understood that, invention scope involved in the application, be not limited to the technical scheme of the particular combination of above-mentioned technical characteristic, also should be encompassed in when not departing from described inventive concept, other technical scheme of being carried out combination in any by above-mentioned technical characteristic or its equivalent feature and being formed simultaneously.The technical characteristic that such as, disclosed in above-mentioned feature and the application (but being not limited to) has similar functions is replaced mutually and the technical scheme formed.
Claims (10)
1. determine a method for user right, it is characterized in that, comprising:
Determine the initial degree of confidence of user;
The interactive data in social platform according to described user and at least one associated user, determines the correlation coefficient corresponding to each described associated user;
Based on the degree of confidence of described correlation coefficient and described associated user, described initial degree of confidence is revised, obtains the degree of confidence of described user;
Based on described degree of confidence, determine the user right of described user.
2. method according to claim 1, is characterized in that, the initial degree of confidence of described user is determined based on following at least one item:
The information that described user issues in described social platform;
Described user is at the influence index of described social platform;
The matching degree of the reference information of described user and the user profile in described social platform.
3. method according to claim 1, is characterized in that, described interactive data comprises interactive frequency.
4. method according to claim 3, is characterized in that, also comprises:
If the interactive frequency of arbitrary described associated user and described user recruitment within a predetermined period of time or reduction exceed interactive frequency threshold, then correlation coefficient corresponding for this associated user is set to 0.
5. the method according to any one of Claims 1-4, is characterized in that, described user and described associated user good friend or pay close attention to mutually each other in described social platform.
6. method according to claim 1, is characterized in that, the described degree of confidence based on described correlation coefficient and described associated user, and revise described initial degree of confidence, the degree of confidence obtaining described user comprises:
The degree of confidence C of described user is determined according to following formula:
Wherein, C
0for the initial degree of confidence of described user, C
iand M
ibe respectively degree of confidence and the correlation coefficient of i-th associated user, n is the sum of described associated user.
7. determine a device for user right, it is characterized in that, comprising:
Determination module, for determining the initial degree of confidence of user;
Coefficient determination module, for the interactive data in social platform according to described user and at least one associated user, determines the correlation coefficient corresponding to each described associated user;
Correcting module, for the degree of confidence based on described correlation coefficient and described associated user, revises described initial degree of confidence, obtains the degree of confidence of described user;
Authority determination module, for based on described degree of confidence, determines the user right of described user.
8. device according to claim 7, is characterized in that, described determination module is further used for the initial degree of confidence determining described user based on following at least one item:
The information that described user issues in described social platform;
Described user is at the influence index of described social platform;
The matching degree of the reference information of described user and the user profile in described social platform.
9. device according to claim 7, is characterized in that, described interactive data comprises interactive frequency.
10. device according to claim 9, is characterized in that, described coefficient determination module also for:
If the interactive frequency of arbitrary described associated user and described user recruitment within a predetermined period of time or reduction exceed interactive frequency threshold, then correlation coefficient corresponding for this associated user is set to 0.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510524694.3A CN105138897B (en) | 2015-08-24 | 2015-08-24 | Determine the method and device of user right |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510524694.3A CN105138897B (en) | 2015-08-24 | 2015-08-24 | Determine the method and device of user right |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105138897A true CN105138897A (en) | 2015-12-09 |
| CN105138897B CN105138897B (en) | 2019-04-16 |
Family
ID=54724242
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510524694.3A Active CN105138897B (en) | 2015-08-24 | 2015-08-24 | Determine the method and device of user right |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105138897B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106095939A (en) * | 2016-06-12 | 2016-11-09 | 腾讯科技（深圳）有限公司 | The acquisition methods of account authority and device |
| CN107257312A (en) * | 2017-05-10 | 2017-10-17 | 腾讯科技（深圳）有限公司 | A kind of data processing method and device |
| CN107807942A (en) * | 2016-09-09 | 2018-03-16 | 腾讯科技（深圳）有限公司 | Comment information presentation method and device |
| CN109685556A (en) * | 2018-12-13 | 2019-04-26 | 东莞市盟大塑化科技有限公司 | A kind of trade integration method based on block chain technology |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101655966A (en) * | 2008-08-19 | 2010-02-24 | 阿里巴巴集团控股有限公司 | Loan risk control method and system |
| US20110112957A1 (en) * | 2009-11-10 | 2011-05-12 | Neobanx Technologies, Inc. | System and method for assessing credit risk in an on-line lending environment |
| CN103577991A (en) * | 2012-08-03 | 2014-02-12 | 阿里巴巴集团控股有限公司 | User identification method and device |
| CN104463603A (en) * | 2014-12-05 | 2015-03-25 | 中国联合网络通信集团有限公司 | Credit assessment method and system |
| CN104657369A (en) * | 2013-11-19 | 2015-05-27 | 深圳市腾讯计算机系统有限公司 | User attribute information generating method and system |
-
2015
- 2015-08-24 CN CN201510524694.3A patent/CN105138897B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101655966A (en) * | 2008-08-19 | 2010-02-24 | 阿里巴巴集团控股有限公司 | Loan risk control method and system |
| US20110112957A1 (en) * | 2009-11-10 | 2011-05-12 | Neobanx Technologies, Inc. | System and method for assessing credit risk in an on-line lending environment |
| CN103577991A (en) * | 2012-08-03 | 2014-02-12 | 阿里巴巴集团控股有限公司 | User identification method and device |
| CN104657369A (en) * | 2013-11-19 | 2015-05-27 | 深圳市腾讯计算机系统有限公司 | User attribute information generating method and system |
| CN104463603A (en) * | 2014-12-05 | 2015-03-25 | 中国联合网络通信集团有限公司 | Credit assessment method and system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106095939A (en) * | 2016-06-12 | 2016-11-09 | 腾讯科技（深圳）有限公司 | The acquisition methods of account authority and device |
| CN107807942A (en) * | 2016-09-09 | 2018-03-16 | 腾讯科技（深圳）有限公司 | Comment information presentation method and device |
| CN107257312A (en) * | 2017-05-10 | 2017-10-17 | 腾讯科技（深圳）有限公司 | A kind of data processing method and device |
| CN107257312B (en) * | 2017-05-10 | 2018-09-04 | 腾讯科技（深圳）有限公司 | A kind of data processing method and device |
| CN109685556A (en) * | 2018-12-13 | 2019-04-26 | 东莞市盟大塑化科技有限公司 | A kind of trade integration method based on block chain technology |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105138897B (en) | 2019-04-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Tang | Is the tourism‐led growth hypothesis valid for malaysia? a view from disaggregated tourism markets | |
| Krishnan | Audit committee quality and internal control: An empirical analysis | |
| Cooper et al. | A rose. com by any other name | |
| Livingston et al. | Split bond ratings and information opacity premiums | |
| Cairns et al. | Modelling and management of mortality risk: a review | |
| Hoekman et al. | COVID‐19, public procurement regimes and trade policy | |
| Ma et al. | Pricing vulnerable options with jump clustering | |
| Giammetti et al. | Key sectors in input–output production networks: An application to Brexit | |
| Mahjoub et al. | Environmental and social policy and earning persistence | |
| Cross et al. | Creating quality courts | |
| Hiller et al. | Who's keeping score?: oversight of changing consumer credit infrastructure | |
| US20120310687A1 (en) | Engine, system and method of providing cloud-based business valuation and associated services | |
| Abad‐Romero et al. | Risk and return around bond rating changes: New evidence from the Spanish stock market | |
| US20110047058A1 (en) | Apparatus and method for modeling loan attributes | |
| CN105138897A (en) | Method and device for determining user right | |
| Arora et al. | Social media index valuation: Impact of technological, social, economic, and ethical dimensions | |
| Cho et al. | Tunneling by related‐party transactions: Evidence from Korean conglomerates | |
| Da Veiga et al. | It pays to violate: how effective are the Basel accord penalties in encouraging risk management? | |
| Wei et al. | Public engagement in product recall announcements: an empirical study on the Chinese automobile industry | |
| Morini et al. | No‐armageddon measure for arbitrage‐free pricing of index options in a credit crisis | |
| Sanchirico et al. | Evidentiary arbitrage: The fabrication of evidence and the verifiability of contract performance | |
| Andrés et al. | Economic and financial factors for the adoption and visibility effects of Web accessibility: The case of European banks | |
| Michayluk et al. | Are all dividends created equal? Australian evidence using dividend‐increase track records | |
| US11562403B2 (en) | Method, computing device and system for profit sharing | |
| Grigoris | The term structure of municipal bond yields, local economic conditions, and local stock returns |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |