CN107257312B - A kind of data processing method and device - Google Patents
A kind of data processing method and device Download PDFInfo
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- CN107257312B CN107257312B CN201710326207.1A CN201710326207A CN107257312B CN 107257312 B CN107257312 B CN 107257312B CN 201710326207 A CN201710326207 A CN 201710326207A CN 107257312 B CN107257312 B CN 107257312B
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Abstract
The embodiment of the invention discloses a kind of data processing method and device, the method includes：Obtain the corresponding group registration information of target public broadcasting group；According to the group registration information searching at least one association public broadcasting group associated with target public broadcasting group, and obtain the corresponding newest group's credit scoring of each association public broadcasting group；According to the user information scoring of the corresponding management user of target public broadcasting group and each newest group's credit scoring, the corresponding original group credit scoring of target public broadcasting group is obtained；Target public broadcasting group is configured according to the original group credit scoring., can be by the data correlation between each public platform using the present invention, the public platform newly to reach the standard grade carries out reasonable disposition, and harmful effect is caused to avoid the user to concern public platform.
Description
Technical field
The present invention relates to Internet technical field more particularly to a kind of data processing method and device.
Background technology
In recent years, with the fast development of mobile interchange mechanics of communication, network largely affects people
Life, in addition, deepening continuously along with internet+technology, the clothing, food, lodging and transportion -- basic necessities of life of people also become more convenient.In addition, this
Kind change but also great change has occurred in the business model and operation mode of modern enterprise, causes to evolve as in line platform
Enterprise realizes the important medium of business transformation, i.e., for enterprise, the social attribute of wechat platform can be utilized, by enterprise
Public platform is accurately and rapidly broadcast to consumer, and more consumers is attracted to pass through in line platform order goods as much as possible.
In addition, as smart mobile phone is universal and the mature of e-commerce technology, more and more people are carried out by mobile phone terminal
Shopping, and the consumption pattern of this emerging fashion is particularly present in most of young consumer groups, in addition, for these years
For light consumer groups, internet is also that they obtain newest information and social major way, for example, by paying close attention to Eight Diagrams matchmaker
The public platform of body can obtain newest amusement Eight Diagrams news in time.
Currently, for the public platform of new registration, server is generally required by counting its social network whithin a period of time
Network behavioral data (for example, the behavioral datas such as data of financial transaction in the past period), can just get to the new registration
Public platform credit scoring, in other words, the public platform of the new registration runs a time at initial stage when just reaching the standard grade, even
Do not have corresponding credit scoring in section, and then can not be accurately that the public platform is closed within the period at operation initial stage
Reason configuration, such as after configuring the public platform, may make the management user of the public platform have excessively high access right, lead to this
There may be security risks at operation initial stage for public platform, and then cause the public platform that may can give concern the public at operation initial stage
Number user cause harmful effect.
Invention content
The embodiment of the present invention provides a kind of data processing method and device, can be that the public platform newly reached the standard grade rationally is matched
It sets, harmful effect is caused to avoid the user to concern public platform.
First aspect present invention provides a kind of data processing method, including：
Obtain the corresponding group registration information of target public broadcasting group；
It is public according to the group registration information searching at least one association associated with target public broadcasting group
Group is broadcasted altogether, and obtains the corresponding newest group's credit scoring of each association public broadcasting group；
According to the user information scoring of the corresponding management user of target public broadcasting group and each newest group's credit
Scoring, obtains the corresponding original group credit scoring of target public broadcasting group；
Target public broadcasting group is configured according to the original group credit scoring.
Second aspect of the present invention provides a kind of data processing equipment, including：
Log-on message acquisition module, for obtaining the corresponding group registration information of target public broadcasting group；
Acquisition module is searched, for associated with target public broadcasting group according to the group registration information searching
At least one association public broadcasting group, and obtain the corresponding newest group's credit of each association public broadcasting group and comment
Point；
Initial score acquisition module, for the user information according to the corresponding management user of target public broadcasting group
Scoring and each newest group's credit scoring, obtain the corresponding original group credit scoring of target public broadcasting group；
Configuration module, for being configured to target public broadcasting group according to the original group credit scoring.
Third aspect present invention provides a kind of data processing equipment, including：Processor, memory and network interface；
The processor, memory are connected with network interface, and the network interface is used to provide network communication function,
In, the memory is for storing program code, and the processor is for calling said program code, to execute following operation：
Obtain the corresponding group registration information of target public broadcasting group；
It is public according to the group registration information searching at least one association associated with target public broadcasting group
Group is broadcasted altogether, and obtains the corresponding newest group's credit scoring of each association public broadcasting group；
According to the user information scoring of the corresponding management user of target public broadcasting group and each newest group's credit
Scoring, obtains the corresponding original group credit scoring of target public broadcasting group；
Target public broadcasting group is configured according to the original group credit scoring.
Fourth aspect of the embodiment of the present invention provides a kind of computer storage media, and the computer storage media is stored with
Computer program, the computer program include program instruction, and described program instruction executes the present invention when being executed by a processor
Method in embodiment in first aspect.
The embodiment of the present invention is by obtaining the corresponding group registration information of target public broadcasting group；It is noted according to the group
Volume information searching at least one association public broadcasting group associated with target public broadcasting group, and obtain each association
The corresponding newest group's credit scoring of public broadcasting group；According to the corresponding management user of target public broadcasting group
User information scoring and each newest group's credit scoring, obtain the corresponding original group credit of target public broadcasting group
Scoring；Target public broadcasting group is configured according to the original group credit scoring.It can be seen that finding
It, can be public wide according to the target when at least one association public broadcasting group associated with target public broadcasting group
The data correlation between group and each association public broadcasting group is broadcast, target public broadcasting group pair is calculated
The original group credit scoring answered, and then can be that the public platform newly reached the standard grade rationally is matched according to the original group credit scoring
It sets, harmful effect is caused to avoid the user to concern public platform.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 is a kind of structural schematic diagram of network architecture provided in an embodiment of the present invention；
Fig. 2 is a kind of flow diagram of data processing method provided in an embodiment of the present invention；
Fig. 3 is a kind of structural schematic diagram calculating original group credit scoring provided in an embodiment of the present invention；
Fig. 4 is the flow diagram of another data processing method provided in an embodiment of the present invention；
Fig. 5 is a kind of structural schematic diagram of data processing equipment provided in an embodiment of the present invention；
Fig. 6 is a kind of structural schematic diagram of data processing equipment provided in an embodiment of the present invention；
Fig. 7 is a kind of structural schematic diagram for searching acquisition module provided in an embodiment of the present invention；
Fig. 8 is the structural schematic diagram of another data processing equipment provided in an embodiment of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without creative efforts
Embodiment shall fall within the protection scope of the present invention.
Fig. 1 is referred to, is a kind of structural schematic diagram of network architecture provided in an embodiment of the present invention.As shown in Figure 1, described
The network architecture may include operation client cluster and server 2000；The operation client cluster may include multiple operations
Client, as shown in Figure 1, specifically include operation client 3000a, operation client 3000b ..., operation client 3000n；
Each operation client all can be used to manage and run the client of public platform.The public platform can be developer or quotient
Family in wechat or QQ public platforms it is apllied apply account, businessman by public platform can be realized in wechat or QQ platforms with
Special group carries out comprehensive communication and the interaction of word, picture, voice, video.
The operation client 3000a, operation client 3000b ..., operation client 3000n can respectively with it is described
Server 2000 carries out network connection.
As shown in Figure 1, at least one fortune that the server 2000 will can just reach the standard grade in the operation client cluster
It (is operation client 3000a with target operation client that client, which is sought, as the target operation client corresponding to subject of operation
For), and the operation client 3000a corresponding target public broadcastings group is further obtained, and it is public wide to obtain target
The corresponding group registration information of group is broadcast, for example, the group registration information may include the telephone number of user's registration, user
The log-on messages such as enterprise's mark of registration.Then, the server 2000 can be further according to target public broadcasting group
Corresponding group registration information searched in the operation client cluster it is associated with target public broadcasting group its
He run client (as operation client 3000d ..., operation client 3000n), to obtain each associated other operations visitor
(newest group's credit scoring can be based on for newest group's credit scoring corresponding to association public broadcasting group in the end of family
The score that the routine work behavioral data of association public broadcasting group is evaluated), the server 2000 can also be according to each pass
Join the corresponding newest group's credit scoring of public broadcasting group, target public broadcasting group corresponding management user
User information scoring calculates the corresponding original group credit scoring of target public broadcasting group, and can be according to the initial population
Group credit scoring carries out reasonable disposition to the target public broadcasting group, thereby may be ensured that the target public broadcasting group corresponds to
Network operator have rational access right.Wherein, the public broadcasting group can be specially public platform, subscription number, service
Number equal group with pocket transmission news function, for example, multiple users can pay close attention to the public broadcasting group, and it is described public wide
Broadcast group can timing or not timing to have focused on all users broadcast message.The user information scoring can be based on being somebody's turn to do
The routine work behavior of the personal account (WeChat ID or QQ number of such as network operator) of the network operator of target public broadcasting group carries out
The routine work behavior of the score of evaluation, network operator may include the current transaction data and other social networks rows of network operator
For data.
By taking public broadcasting group is public platform as an example, if any 5 public platforms (corresponding operation visitor of 5 public platforms
Family end includes operation client 3000a, operation client 3000b, operation client 3000c and operation client 3000d, fortune
Seek client 3000e), and in this 5 public platforms, 3 public platforms are the same subjects of operation, i.e. this 3 public
Number have certain data correlation, for example, being registered with the same network mailbox (ABCD).If at this point, server
2000 using the corresponding public platforms of operation client 3000f just reached the standard grade as target public platform, then can be from the operation client
The network mailbox (ABCD) used when the corresponding group registration information of target public platform, i.e. registration is obtained in 3000f, and can be into one
Step finds other operation clients for carrying the identical network mailbox (ABCD) (for example, operation client 3000a, operation visitor
Family end 3000c and operation client 3000d).The server 2000 can also further obtain operation client 3000f and correspond to
Management user (i.e. network operator) user information scoring, and synchronous to obtain other 3 associated operation clients right respectively
The public platform scoring (i.e. described newest group's credit scoring) answered, and scored according to the corresponding user information of target public platform and with
Its associated 3 public platform (runs client 3000a, operation client 3000c and the public affairs for runing client 3000d
Many numbers) corresponding public platform scoring calculates the corresponding original group credit scoring of target public platform, and according to described initial
Group's credit scoring carries out reasonable disposition to the target public platform.
Wherein, the server 2000 calculate the detailed process of the corresponding original group credit scoring of target public platform can be with
Referring to the corresponding embodiments of following Fig. 2 to Fig. 4.
Further, Fig. 2 is referred to, is a kind of flow diagram of data processing method provided in an embodiment of the present invention.
As shown in Fig. 2, the method may include：
S201 obtains the corresponding group registration information of target public broadcasting group；
Specifically, server obtains the corresponding group registration information of target public broadcasting group from destination client；Institute
It may include at least one of herd number, registration mailbox, login name log-on message to state group registration information；The target is public
Broadcast group can be the public platform of (i.e. new registration) of just reaching the standard grade altogether；
Wherein, the herd number can be cell phone number, the base number of registration and the enterprise of registration of registration
Industry identification number etc.；
Wherein, the server can be the server 2000 in above-mentioned Fig. 1 corresponding embodiments, and the server obtains
The detailed process of the group registration information may refer in above-mentioned Fig. 1 corresponding embodiments to server 2000 and operation client
The description of cluster, is not discussed here.
Wherein, the destination client can be in the operation client cluster in embodiment corresponding to above-mentioned Fig. 1
Any one operation client just reached the standard grade；The destination client may include PC, tablet computer, notebook electricity
Brain, smart mobile phone etc. have the terminal device of network connecting function.
S202, according to the group registration information searching at least one pass associated with target public broadcasting group
Join public broadcasting group, and obtains the corresponding newest group's credit scoring of each association public broadcasting group；
Specifically, the server can be according to each log-on message in the group registration information in preset information relationship
Excavation is associated in repository, to search at least one public broadcasting group that there is incidence relation with each log-on message
Group as at least one association public broadcasting group associated with target public broadcasting group, and can be obtained further
It is each to be associated with the corresponding newest group's credit scoring of public broadcasting group；
Wherein, comprising between multiple group registration information and multiple public broadcasting groups in described information relationship repository
Incidence relation；Each log-on message in each group registration information, which has at least one public broadcasting group, to be associated with
System；
Wherein, described information relationship repository can be true people's system comprising multiple subjects of operation；
Wherein, newest group's credit scoring can be the public platform scoring in embodiment corresponding to above-mentioned Fig. 1, i.e., described
The score that newest group's credit scoring can be evaluated based on the routine work behavioral data of public platform.
For example, in described information relationship repository, there are 4 subjects of operation (for example, subject of operation A, subject of operation B, fortune
Seek main body C and subject of operation D), different subjects of operation corresponds to different group registration information, and group's note of subject of operation A
Volume information can be associated with 5 public broadcasting groups (having 5 public platforms with same group log-on message)；Operation master
The group registration information of body B associated with 6 public broadcasting groups (can have 6 public affairs with same group log-on message
Many numbers)；The group registration information of subject of operation C associated with 8 public broadcasting groups (can have 8 to have same group
The public platform of log-on message), and, the group registration information of subject of operation D can be associated (i.e. with 10 public broadcasting groups
Have 10 public platforms with same group log-on message), may include 4 fortune in described information relationship repository therefore
Seek the incidence relation between main body and 29 public broadcasting groups.
For another example, in above-mentioned preset information relationship repository, each log-on message in each group registration information with
At least one public broadcasting group has incidence relation, and by taking above-mentioned subject of operation D as an example, when the subject of operation D's
Public platform is the public platform just reached the standard grade, and server can be using the public platform that this has just been reached the standard grade as target public platform, and is closed in the information
Being can be according to the group registration information (for example, house ornamentation telephone number of registration) corresponding to the public platform that this has just been reached the standard grade in repository
Find with the house ornamentation telephone number have incidence relation some public platform (i.e. the network operator of the public platform also uses and operation
The main body D identical house ornamentation phone number registrations public platforms), therefore, which can be determined as to the mesh with subject of operation D
The associated association public platform of public platform is marked, and can further obtain the corresponding newest group's credit scoring of association public platform, with
The original group information scoring of target public platform is calculated.
S203, according to the user information scoring of the corresponding management user of target public broadcasting group and each newest group
Credit scoring obtains the corresponding original group credit scoring of target public broadcasting group；
Wherein, the server can be corresponding to target public broadcasting group according to preset scoring incidence formula
The user information scoring of management user and each newest group's credit scoring calculate, and obtain target public broadcasting group pair
The original group credit scoring answered.The scoring incidence formula can be median formula, average formula, logistic regression function
Any one formula in formula；The management user is the network operator of target public broadcasting group；The user information is commented
Divide the day for the personal account (WeChat ID or QQ number of such as network operator) that can be the network operator based on the target public broadcasting group
The score that normal business conduct is evaluated, the routine work behavior of network operator may include network operator current transaction data and
Other social networks behavioral datas.
Wherein, if the scoring incidence formula is the median formula, server can will be public with the target
Broadcast group's corresponding user information scoring and each newest group's credit corresponding with each association public broadcasting group
Scoring is arranged by sequence from big to small or from small to large, and then can be by association public broadcasting group in an intermediate position
Corresponding newest group's credit scoring is determined as median, i.e., the server can further using the median as with it is described
The corresponding original group credit scoring of target public broadcasting group；Optionally, if it is even to participate in the scoring number that median calculates
Number, then median is exactly the average of intermediate two numbers.
Wherein, if the scoring incidence formula is the average formula, server can will be public with the target
Broadcast group's corresponding user information scoring and each newest group's credit corresponding with each association public broadcasting group
Scoring carries out mean value computation, and using the average value after mean value computation as initial population corresponding with target public broadcasting group
Group credit scoring.
Wherein, if the scoring incidence formula is the logistic regression function formula, server can will be with the mesh
Mark the corresponding user information scoring of public broadcasting group and each newest group corresponding with each association public broadcasting group
Input value of the group credit scoring as the logistic regression function (for example, linear regression function), and by each input value with it is described
Weighted value in logistic regression function is calculated, and is obtained the corresponding original group credit of target public broadcasting group and is commented
Point.
Further, can be a kind of calculating original group credit scoring provided in an embodiment of the present invention together referring to Fig. 3
Structural schematic diagram.As shown in figure 3, when (server 300 is the server in embodiment corresponding to above-mentioned Fig. 1 to server 300
2000) when detecting new registration (or just reaching the standard grade) public platform A, the group registration information of public platform A can further be obtained,
And association public platform (example associated with the group registration information is searched in information relationship repository 500 as shown in Figure 3
Such as, public platform B and public platform C), and the corresponding pipes of public platform A are extracted from user credit points-scoring system 600 as shown in Figure 3
The user information scoring of user is managed, and obtains newest group's credit scoring corresponding with the public platform B and public platform C,
And then user information scoring and each newest group's credit scoring can be put into initial score acquisition module as shown in Figure 3
Scoring calculating is carried out in 400, to export the original group credit scoring corresponding to public platform A as shown in Figure 3.
For example, being on rigid with the target public broadcasting group corresponding to the subject of operation D in above-mentioned information relationship repository
For the public platform of line, the user information scoring of the corresponding management user of target public broadcasting group is 65 points, and at this
In information relationship repository, 3 public broadcasting groups associated with the target public broadcasting group can be found (i.e. just with this
The associated association public platform of public platform reached the standard grade has 3), so as to further get this 3 association public broadcasting groups
Corresponding newest group's credit scoring is followed successively by 75 points, 85 points, 80 points.Then, it if by the median formula, can obtain
It is 80 points (i.e. 75 points and 85 points of average values) to the corresponding original group credit scoring of target public broadcasting group.It is optional
Ground, if by the Mean Value Formulas, the corresponding original group credit scoring of target public broadcasting group, which can be obtained, is
76.25 points, (average value i.e. corresponding to this 4 score values).Optionally, if by the logistic regression function, for example, FD=
(CD*0.7+FD1*0.1+FD2*0.1+FD3*0.1), wherein FD is the original group credit scoring of subject of operation D, and CD is should
The user information of subject of operation D scores, and FD1~FD3 is 3 associated with subject of operation D association public broadcasting groups pair
The newest group's credit scoring answered, then, the corresponding original group credit scoring of target public broadcasting group, which can be obtained, is
69.5.It can be seen that median is location average, do not influenced by extremum, therefore in overall group's credit scoring value difference
It is different it is prodigious in the case of, median have very strong representativeness.It can be seen that by the scoring incidence formula, it can be in the public affairs
Crowd's initial go-live period, by the public platform and associated with it, to obtain the original group credit scoring of the public platform, that is, pass through by
Each associated score data uniformly accounts for, so as to can guarantee the target public at the operation initial stage of target public platform
Number the authenticity of credit scoring and comprehensive.
Step S204 configures target public broadcasting group according to the original group credit scoring；
For example, for original group credit scoring lower target public broadcasting group, then it can carry out low rights for it and match
It sets so that the corresponding management user of target public broadcasting group has lower access right, relatively low to credit to realize
Public platform appreciation volume and receipt be traded limitation, to avoid to pay close attention to the public platform user cause harmful effect
(for example, economic loss), it is seen then that the server can reasonably configure target public broadcasting group.Equally
, for original group credit scoring higher target public broadcasting group, then it can carry out high authority configuration for it so that described
The corresponding management user of target public broadcasting group has higher access right.
The embodiment of the present invention is by obtaining the corresponding group registration information of target public broadcasting group；It is noted according to the group
Volume information searching at least one association public broadcasting group associated with target public broadcasting group, and obtain each association
The corresponding newest group's credit scoring of public broadcasting group；According to the corresponding management user of target public broadcasting group
User information scoring and each newest group's credit scoring, obtain the corresponding original group credit of target public broadcasting group
Scoring；Target public broadcasting group is configured according to the original group credit scoring.It can be seen that finding
It, can be public wide according to the target when at least one association public broadcasting group associated with target public broadcasting group
The data correlation between group and each association public broadcasting group is broadcast, target public broadcasting group pair is calculated
The original group credit scoring answered, and then can be that the public platform newly reached the standard grade rationally is matched according to the original group credit scoring
It sets, harmful effect is caused to avoid the user to concern public platform.
Further, Fig. 4 is referred to, is the flow signal of another data processing method provided in an embodiment of the present invention
Figure.As shown in figure 4, the method may include：
Step S401 obtains the corresponding group registration information of target public broadcasting group；
Step S402, according to the group registration information searching associated with target public broadcasting group at least one
A association public broadcasting group, and obtain the corresponding newest group's credit scoring of each association public broadcasting group；
Step S403 scores and each newest according to the user information of the corresponding management user of target public broadcasting group
Group's credit scoring obtains the corresponding original group credit scoring of target public broadcasting group；
Step S404 configures target public broadcasting group according to the original group credit scoring；
Wherein, the specific implementation procedure of the step S401~step S404 can be found in embodiment corresponding to above-mentioned Fig. 2
Description to step S201~step S204, will no longer repeat here.
Step S405, if the duration to be updated of target public broadcasting group reaches preset update cycle duration,
According to broadcast algorithm to the corresponding original group credit scoring of target public broadcasting group and each association public broadcasting
The corresponding newest group's credit scoring of group carries out internal diffusion, corresponding just to adjust target public broadcasting group
Beginning group's credit scoring, obtains the first scoring；
Specifically, the server can reach preset update week in the duration to be updated of target public broadcasting group
It, can be public to the target wide according to heat transfer algorithm or label propagation algorithm or webpage rank PageRank algorithms when phase duration
The corresponding original group credit scoring of group is broadcast to comment with each corresponding newest group's credit of public broadcasting group that is associated with
The internal diffusion of progress is divided to obtain the first scoring to adjust the corresponding original group credit scoring of target public broadcasting group；
It wherein, can be corresponding to target public broadcasting group initial when the broadcast algorithm is heat transfer algorithm
Group's credit scoring with it is described it is each be associated with the corresponding newest group's credit scoring of public broadcasting group and carry out mean value calculation,
Credit scoring mean value is obtained, and is commented the credit scoring mean value as corresponding with target public broadcasting group first
Point；
For example, using the public platform B0 just to have reached the standard grade corresponding to subject of operation B as target public broadcasting group, the service
Device can get the public platform B1 for having incidence relation with public platform B0, public platform by S401~step S403 through the above steps
Newest group's credit scoring of B2 and public platform B3 (i.e. each association public broadcasting group) are (for example, the newest group of public platform B1
Group credit scoring is 75 points, and newest group's credit scoring of public platform B2 is 85 points, newest group's credit scoring of public platform B3
It is 80 points), and by the scoring incidence formula in embodiment corresponding to above-mentioned Fig. 2, can further calculate to obtain the subject of operation B
The original group credit scoring 85 of corresponding public platform B0 divides.
Further, since there may be differences for the registion time of each public platform, then corresponding duration to be updated
There can be difference, for example, for public platform B0, due to being the public platform newly reached the standard grade, relative to three associated there
For public platform (public platform B1, public platform B2 and public platform B3), there is longest duration to be updated；For example, public platform B0
It, can be corresponding to be updated as public platform B0 using the time of this month if can reach the preset update cycle after one month
Duration, and public platform B1 associated there, public platform B2 and public platform B3 belong to the public platform of previous registered mistake, than
Such as, these three public platforms can respectively reach the preset update cycle after a week, after two weeks and after three weeks.
It, can be according at the beginning of heat transfer algorithm when the duration to be updated of the public platform B0 reaches preset update cycle duration
Step updates the original group credit scoring of public platform B0, i.e., can be by public platform B1, public platform B2 according to the heat transfer algorithm
And the corresponding newest group's credit scorings of public platform B3 75 divide, 85 points and 80 points are corresponding with the public platform B0 initial
Group's credit scoring 85, which divides, uniformly to be accounted for, to calculate each score value (original group credit scoring and each newest group's credit
Scoring) between average value, and by the average value of acquisition 81.25 be allocated as with the public platform B0 (target public broadcasting group)
Corresponding first scoring.
Optionally, if the broadcast algorithm be label propagation algorithm, in preset tag control library obtain with it is described
Target public broadcasting group with it is described it is each be associated with the corresponding diffusion label of public broadcasting group, and according to each diffusion label tune
The corresponding original group credit scoring of whole target public broadcasting group, and using the original group credit scoring after adjustment as
First scoring；
For example, when using the public platform C0 just to have reached the standard grade corresponding to subject of operation C as target public broadcasting group, the clothes
Business device still can get the public platform C1 for having incidence relation with public platform C0, public affairs by S401~step S403 through the above steps
Newest group's credit scoring of crowd C2 and public platform C3 (i.e. each association public broadcasting group) are (for example, public platform C1 is most
New group's credit scoring is 76 points, and newest group's credit scoring of public platform C2 is 82 points, newest group's credit of public platform C3
Scoring is 84 points), and by the scoring incidence formula in embodiment corresponding to above-mentioned Fig. 2, can further calculate to obtain the operation
The original group credit scoring 78 of public platform B0 corresponding to main body B divides.Therefore, it can be got in preset tag control library
Diffusion label corresponding to the original group credit scoring is 80 points, wherein may include multiple expansions in the tag control library
Label is dissipated, and each diffusion label corresponds to a threshold range to be spread, for example, the threshold to be spread that the diffusion label is 80 points
Value range may include the range of scatter of 75-79 points and 80-84 points, therefore can be according to the score value corresponding to each public platform, really
The diffusion label being positioned in corresponding threshold range to be spread, i.e. original group credit scoring 78 corresponding to public platform B0 divide position
It is 80 points in diffusion label to wait in range of scatter, therefore can be further according to the diffusion label by public platform B0 (targets
Public broadcasting group) corresponding original group credit scoring is adjusted to 80 points, and by the original group credit scoring (80 after adjustment
Point) as the first scoring.
Optionally, it if the broadcast algorithm is webpage rank PageRank algorithms, is looked into preset data level library
Look for grading system corresponding with target public broadcasting group and each association public broadcasting group, and according to respectively commenting
Graduation adjusts the corresponding original group credit scoring of target public broadcasting group, and by the original group credit after adjustment
Scoring is as the first scoring.For example, can the grade of each public platform in 85~89 points be determined as the second grade, and the second grade pair
The grade score value answered is 90 points, if original group credit scoring is 88 points, the original group credit scoring belongs to second etc.
Grade, and then the original group credit scoring can be adjusted to 90 points, that is, the original group credit scoring (90 points) after adjusting
For the first scoring.
Step S406 obtains the corresponding multiple business rows of target public broadcasting group in the update cycle duration
For data, and it is based on preset more new formula, first scoring and the multiple business conduct data are calculated, obtained
Second scoring, and by second scoring as the corresponding newest group's credit scoring of target public broadcasting group；
Wherein, the more new formula can be logistic regression function formula, support vector machines model, deep learning mould
Any one formula in type；
Wherein, the multiple business conduct data include：Complain number, the rate of complaints, the first data transfer amount, per capita the
One data transfer amount, the second data transfer amount, per capita the second data transfer amount, report number, report rate；
Wherein, first data transfer amount can be appreciation total value, and therefore, described the first data transfer amount can per capita
To appreciate volume per capita, and the volume of appreciation per capita is appreciation the ratio between total value and appreciation number, for example, server statistics are public to target
Broadcast group (public platform A) receives 1000 yuan of the appreciation amount of money, and this 1000 yuan appreciation in total in past one month altogether
Total value is total to be beaten by 100 people from reward, it is consequently possible to calculate it is 100 yuan/person-time to go out the volume of appreciation per capita.
Wherein, second data transfer amount within past one month user residing for public platform A in line platform
The total payment amount counted on when upper purchase commodity, for example, 10,000 yuan, and this 10,000 yuan are propped up by 200 users in total
It pays, therefore, the payment amount per capita that can be calculated in one month is 50 yuan/person-time.
Wherein, the rate of complaints is that number/article is complained to browse number, and report number is that the amount of money pays total report behavior time
Number, report rate are report number/payment number,
For example, there are 100 people to carry out delivery operation on line platform residing for public platform A, but wherein there are 30 people
It is reported after having paid money, therefore 30% the rate of complaints can be calculated.
For example, by taking the more new formula is logistic regression function formula as an example, the more new formula can be：
FA=P (FA, T, TP, Z, ZP, P, PP, G, GP)=FA*50%+T*10%+TP*130%+G*10%+GP*
130%+Z*1%+ZP*1%+P*0.1%+PP*1%, in the logistic regression function, FA, T, TP, Z, ZP, P, PP, G, GP is equal
For the input value of the logistic regression function, wherein FA be target public broadcasting group (i.e. public platform A) first score (for example,
90 points), and in update cycle duration (for example, in one month) is counted by public platform A by T, TP, Z, ZP, P, PP, G and GP
The business conduct data arrived；Wherein, T is the complaint number (for example, 10 times) counted in one month, so as to further count
To the rate of complaints TP of public platform A, since the rate of complaints is that number/article is complained to browse number (having TP=10%)；Z is one
The appreciation total value (for example, 1000 yuan) counted in month, so as to further count on the volume of the appreciation per capita ZP of public platform A
(100 yuan/person-time)；P is the total payment amount (for example, 10,000 yuan) counted in one month, so as to further count on
The PP of payment amount per capita (50 yuan/person-time) of public platform A；G is the report number (for example, 30 times) counted in one month,
So as to further count on the rate of complaints GP (30%) of public platform A；Therefore, which can be according to each input
Weighted value in value (first scoring and the multiple business conduct data) and the logistic regression function is calculated, and is obtained
Second scoring (i.e. FA=90*50%+10*10%+10%*130%+30*10%+30%*130%+1000*1%+100*1%
+ 10000*0.1%+50*1%=71.02 points).In the logistic regression function, in the process calculated the second scoring
In, the corresponding weighted value of each business conduct data is adjusted flexibly in combination with actual needs, for example, the rate of complaints and report rate
Larger weighted value can be arranged in weighted value, and appreciates total value and total payment amount then smaller weighted value of corresponding setting, from
And rational second scoring of comparison can be calculated, and can be further by the newest group of second scoring as public platform A
Credit scoring, in order to subsequently readjust the right to use of public platform A according to newest group's credit scoring of public platform A
Limit.
Step S407, it is public to the target according to the corresponding newest group's credit scoring of target public broadcasting group
Broadcast group is reconfigured；
Specifically, the server can be according to the corresponding newest group's credit scoring of target public broadcasting group, further
To the target public broadcasting, group reconfigures, to obtain new use corresponding with target public broadcasting group
Permission.For example, for newest group's credit scoring lower target public broadcasting group, then it can re-start low rights for it and match
It sets so that the corresponding management user of target public broadcasting group has lower access right, relatively low to credit to realize
Public platform appreciation volume and receipt be traded limitation, to avoid to pay close attention to the public platform user cause harmful effect
(for example, economic loss), it is seen then that the server can timing to target public broadcasting group carry out reasonable disposition.
Likewise, for newest group's credit scoring higher target public broadcasting group, then high authority configuration can be re-started for it,
So that the corresponding management user of target public broadcasting group has higher access right.
For example, for carrying out the target public broadcasting group of low rights configuration at operation initial stage (for example, the target is public wide
It is 75 points to broadcast the corresponding original group credit scoring of group, at this point, total appreciation volume and receipt is allowed to be no more than 5000 yuan),
It then can be when the duration to be updated of the target public broadcasting group reaches preset update cycle duration, when according to the update cycle
First scoring of the target public broadcasting group and each business conduct data, original group credit scoring are updated to newest in long
Group's credit scoring (for example, in the update cycle duration, does not receive any report and complaint, you can newest group is calculated
Credit scoring is 80 points), and be that the target public broadcasting group re-starts high permission according to newest group's credit scoring
Configuration, you can be adjusted to the appreciation volume of target public broadcasting group and receipt to be no more than 10,000 yuan, it is seen then that the server can
According to the behavioral data of the target public broadcasting group, periodically reasonable disposition is carried out for it.
Optionally, the server can also be in the public broadcasting group for detecting new registration, and the new registration is public
When the corresponding group registration information of broadcast group group registration information corresponding with target public broadcasting group is identical, by institute
The corresponding association public broadcasting group of public broadcasting group that target public broadcasting group is determined as the new registration is stated, in order to
Subsequently based on the corresponding newest group of at least one association public broadcasting group of public broadcasting group associations with the new registration
The corresponding user credit scoring of the public broadcasting group of group credit scoring and the new registration, obtains the public wide of the new registration
Broadcast the corresponding original group credit scoring of group.
Optionally, once there are 3 network operators (for example, network operator B, network operator C and fortune under server statistics to certain subject of operation
Battalion person D) 3 public platforms are had registered before January, and this 3 network operators carry out letter with the logo of the subject of operation
Breath registration, and in today, when server detects and have new network operator E and new network operator F while also with the public affairs of the subject of operation
When taking charge of identifier register public platform, the public platform which can be runed new network operator E and new network operator F respectively is as target
Public broadcasting group, and can be using the public platform that the network operator B, network operator C and network operator D are runed as the two mesh
Mark corresponding association public broadcasting group of public broadcasting group.Therefore, in the original group letter for calculating the public platform of new network operator E
When with scoring, which will not score the user information of the personal account of new network operator F and account for, i.e., only consider new fortune
The public platform that the user information of the personal account of battalion person E scores and network operator B, network operator C and network operator D are runed respectively is most
The credit scoring of new group.
It can similarly obtain, when calculating the original group credit scoring of public platform of new network operator F, also not consider new network operator
The user information of the personal account of E scores, i.e., only considers user information scoring and the network operator of the personal account of new network operator F
B, the newest group's credit scoring for the public platform that network operator C and network operator D are runed respectively.
In consideration of it, when there is the public platform newly reached the standard grade, it is referred to the above process and calculates any public platform newly reached the standard grade
Corresponding original group credit scoring.
The embodiment of the present invention is by obtaining the corresponding group registration information of target public broadcasting group；It is noted according to the group
Volume information searching at least one association public broadcasting group associated with target public broadcasting group, and obtain each association
The corresponding newest group's credit scoring of public broadcasting group；According to the corresponding management user of target public broadcasting group
User information scoring and each newest group's credit scoring, obtain the corresponding original group credit of target public broadcasting group
Scoring；Target public broadcasting group is configured according to the original group credit scoring.It can be seen that finding
It, can be public wide according to the target when at least one association public broadcasting group associated with target public broadcasting group
The data correlation between group and each association public broadcasting group is broadcast, target public broadcasting group pair is calculated
The original group credit scoring answered, and then can be that the public platform newly reached the standard grade rationally is matched according to the original group credit scoring
It sets, harmful effect is caused to avoid the user to concern public platform, in addition, by the relevance between each public platform, it can be to each
Credit scoring between public platform carries out internal diffusion to ensure the authenticity of credit scoring and comprehensive, and then can further carry
The reasonability of height configuration.
Further, it is a kind of structural representation of data processing equipment provided in an embodiment of the present invention please also refer to Fig. 5
Figure.As shown in figure 5, the data processing equipment 1 can be applied to the server 2000 in embodiment corresponding to above-mentioned Fig. 1,
The data processing equipment 1 includes：Log-on message acquisition module 10 searches acquisition module 20,30 He of initial score acquisition module
Configuration module 40；
The log-on message acquisition module 10, for obtaining the corresponding group registration information of target public broadcasting group；
The lookup acquisition module 20, for according to the group registration information searching and target public broadcasting group
Associated at least one association public broadcasting group, and obtain the corresponding newest group's letter of each association public broadcasting group
With scoring；
The initial score acquisition module 30, for the use according to the corresponding management user of target public broadcasting group
Family information scoring and each newest group's credit scoring, obtain the corresponding original group credit of target public broadcasting group and comment
Point；
The configuration module 40, for being carried out to target public broadcasting group according to the original group credit scoring
Configuration.
Wherein, the log-on message acquisition module 10, lookup acquisition module 20, initial score acquisition module 30 and configuration mould
The specific implementation of block 40 can be found in the description to step S201- steps S204 in embodiment corresponding to above-mentioned Fig. 2, here will
No longer repeated.
The embodiment of the present invention is by obtaining the corresponding group registration information of target public broadcasting group；It is noted according to the group
Volume information searching at least one association public broadcasting group associated with target public broadcasting group, and obtain each association
The corresponding newest group's credit scoring of public broadcasting group；According to the corresponding management user of target public broadcasting group
User information scoring and each newest group's credit scoring, obtain the corresponding original group credit of target public broadcasting group
Scoring；Target public broadcasting group is configured according to the original group credit scoring.It can be seen that finding
It, can be public wide according to the target when at least one association public broadcasting group associated with target public broadcasting group
The data correlation between group and each association public broadcasting group is broadcast, target public broadcasting group pair is calculated
The original group credit scoring answered, and then can be that the public platform newly reached the standard grade rationally is matched according to the original group credit scoring
It sets, harmful effect is caused to avoid the user to concern public platform.
Further, it is a kind of structural representation of data processing equipment provided in an embodiment of the present invention please also refer to Fig. 6
Figure.As shown in fig. 6, the data processing equipment 1 can be applied to the server 2000 in embodiment corresponding to above-mentioned Fig. 1,
The data processing equipment 1 includes the log-on message acquisition module 10 in embodiment corresponding to above-mentioned Fig. 5, searches and obtains mould
Block 20, initial score acquisition module 30 and configuration module 40；Further, the data processing equipment 1 further includes：Scoring diffusion
Determining module 80 detects in module 50, newest scoring computing module 60, permission adjustment module 70 and group；
Module 50 is spread in the scoring, if the duration to be updated for target public broadcasting group reach it is preset more
New cycle duration, then according to broadcast algorithm to the corresponding original group credit scoring of target public broadcasting group and described each
It is associated with the corresponding newest group's credit scoring of public broadcasting group and carries out internal diffusion, to adjust the target public broadcasting
The corresponding original group credit scoring of group, obtains the first scoring；
Specifically, module 50 is spread in the scoring, if being heat transfer algorithm specifically for the broadcast algorithm, to described
The corresponding original group credit scoring of target public broadcasting group with described each to be associated with public broadcasting group corresponding newest
Group credit scoring carries out mean value calculation, obtains credit scoring mean value, and using the credit scoring mean value as with the mesh
Mark corresponding first scoring of public broadcasting group；
Optionally, module 50 is spread in the scoring, if being label propagation algorithm specifically for the broadcast algorithm, pre-
If tag control library in obtain it is corresponding with target public broadcasting group and each association public broadcasting group
Label is spread, and the corresponding original group credit scoring of target public broadcasting group is adjusted according to each diffusion label, and will
Original group credit scoring after adjustment is as the first scoring；Alternatively,
Optionally, module 50 is spread in the scoring, if being PageRank algorithms specifically for the broadcast algorithm, pre-
If data level library in search it is corresponding with target public broadcasting group and each association public broadcasting group
Grading system, and the corresponding original group credit scoring of target public broadcasting group is adjusted according to each grading system, and will
Original group credit scoring after adjustment is as the first scoring.
The newest scoring computing module 60, for obtaining the target public broadcasting group in the update cycle duration
The corresponding multiple business conduct data of group, and it is based on preset more new formula, to first scoring and the multiple business row
It is calculated for data, obtains the second scoring, and second scoring is corresponding most as target public broadcasting group
The credit scoring of new group；
Wherein, the more new formula is any one in logistic regression function, SVM models, deep learning model；
The permission adjusts module 70, for according to the corresponding newest group's credit scoring of target public broadcasting group
To the target public broadcasting, group reconfigures.
Wherein, the scoring diffusion module 50, newest scoring computing module 60, permission adjust the specific implementation side of module 70
Formula can be found in the description to step S405- steps S407 in embodiment corresponding to above-mentioned Fig. 4, will no longer repeat here.
Optionally, determining module 80 detects in the group, for working as the public broadcasting group for detecting new registration, and it is described
The corresponding group registration information of the public broadcasting group group registration letter corresponding with target public broadcasting group of new registration
Simultaneously, the corresponding association of public broadcasting group that target public broadcasting group is determined as to the new registration is public wide for manner of breathing
Group is broadcast, in order at least one association public broadcasting group subsequently based on the public broadcasting group associations with the new registration
The corresponding user credit scoring of the public broadcasting group of corresponding newest group's credit scoring and the new registration, obtains described new
The corresponding original group credit scoring of public broadcasting group of registration；
Wherein, the specific implementation of group's detection determining module 80 can be found in embodiment pair corresponding to above-mentioned Fig. 4
The description of the public broadcasting group of new registration, will no longer repeat here.
Further, Fig. 7 is referred to, is a kind of structural schematic diagram for searching acquisition module provided in an embodiment of the present invention.
As shown in fig. 7, the lookup acquisition module 10 includes：Related information searching unit 101 be associated with scoring acquiring unit 102；
The related information searching unit 101, for believing the group registration in preset information relationship repository
Each log-on message in breath is associated excavation, has at least one public of incidence relation with each log-on message to search
Group is broadcasted, as associated at least one association public broadcasting group of target public broadcasting group；
The association scoring acquiring unit 102, for obtaining corresponding newest group of each association public broadcasting group
Credit scoring；
Wherein, comprising between multiple group registration information and multiple public broadcasting groups in described information relationship repository
Incidence relation；Each log-on message in each group registration information, which has at least one public broadcasting group, to be associated with
System；
Wherein, the related information searching unit 101 can be found in the specific implementation for being associated with scoring acquiring unit 102
To the description of step S201 in embodiment corresponding to above-mentioned Fig. 2, will no longer repeat here.
The embodiment of the present invention is by obtaining the corresponding group registration information of target public broadcasting group；It is noted according to the group
Volume information searching at least one association public broadcasting group associated with target public broadcasting group, and obtain each association
The corresponding newest group's credit scoring of public broadcasting group；According to the corresponding management user of target public broadcasting group
User information scoring and each newest group's credit scoring, obtain the corresponding original group credit of target public broadcasting group
Scoring；Target public broadcasting group is configured according to the original group credit scoring.It can be seen that finding
It, can be public wide according to the target when at least one association public broadcasting group associated with target public broadcasting group
The data correlation between group and each association public broadcasting group is broadcast, target public broadcasting group pair is calculated
The original group credit scoring answered, and then can be that the public platform newly reached the standard grade rationally is matched according to the original group credit scoring
It sets, harmful effect is caused to avoid the user to concern public platform, in addition, by the relevance between each public platform, it can be to each
Credit scoring between public platform carries out internal diffusion, to ensure the true of the credit scoring corresponding to the public platform newly reached the standard grade
Property and it is comprehensive, and then can further to access right carry out reasonable distribution.
Further, Fig. 8 is referred to, is the structural representation of another data processing equipment provided in an embodiment of the present invention
Figure.As shown in figure 8, the data processing equipment 1000 can be applied to the server 2000 in above-mentioned Fig. 1 corresponding embodiments, institute
Stating data processing equipment 1000 may include：Processor 1001, memory 1005 and network interface 1004, in addition, the data
Processing unit 1000 can also include：User interface 1003 and at least one communication bus 1002.Wherein, communication bus 1002
For realizing the connection communication between these components.Wherein, user interface 1003 may include display screen (Display), keyboard
(Keyboard), optional user interface 1003 can also include standard wireline interface and wireless interface.Network interface 1004 is optional
May include standard wireline interface and wireless interface (such as WI-FI interfaces).Memory 1005 can be high-speed RAM memory,
Can also be non-labile memory (non-volatile memory), for example, at least a magnetic disk storage.Memory
1005 optionally can also be at least one storage device for being located remotely from aforementioned processor 1001.As shown in figure 8, as one kind
It may include operating system, network communication module, Subscriber Interface Module SIM in the memory 1005 of computer storage media and set
Standby control application program.
In data processing equipment 1000 shown in Fig. 8, network interface 1004 is mainly used for connecting real corresponding to above-mentioned Fig. 1
Apply the operation client cluster in example, it is possible to provide network communication function；And user interface 1003 be mainly used for providing to the user it is defeated
The interface entered；And processor 1001 can be used for calling the equipment control application program stored in memory 1005, to realize：
Obtain the corresponding group registration information of target public broadcasting group；
It is public according to the group registration information searching at least one association associated with target public broadcasting group
Group is broadcasted altogether, and obtains the corresponding newest group's credit scoring of each association public broadcasting group；
According to the user information scoring of the corresponding management user of target public broadcasting group and each newest group's credit
Scoring, obtains the corresponding original group credit scoring of target public broadcasting group；
Target public broadcasting group is configured according to the original group credit scoring.
In one embodiment, the group registration information includes：In herd number, registration mailbox, login name at least
One log-on message；The scoring incidence formula is arbitrary in median formula, average formula, logistic regression function formula
A kind of formula.
In one embodiment, the processor 1001 execute it is described according to the group registration information searching with it is described
Associated at least one association public broadcasting group of target public broadcasting group, and obtain each association public broadcasting group difference
When corresponding newest group's credit scoring, following steps are specifically executed：
Excavation is associated to each log-on message in the group registration information in preset information relationship repository,
To search at least one public broadcasting group that there is incidence relation with each log-on message, as the target public broadcasting
Associated at least one association public broadcasting group of group；
Obtain the corresponding newest group's credit scoring of each association public broadcasting group；
Wherein, comprising between multiple group registration information and multiple public broadcasting groups in described information relationship repository
Incidence relation；Each log-on message in each group registration information, which has at least one public broadcasting group, to be associated with
System.
In one embodiment, the processor 1001, also executes following steps：
If the duration to be updated of target public broadcasting group reaches preset update cycle duration, calculated according to diffusion
Method to the corresponding original group credit scoring of target public broadcasting group with described each to be associated with public broadcasting group right respectively
The newest group's credit scoring answered carries out internal diffusion, to adjust the corresponding original group credit of target public broadcasting group
Scoring, obtains the first scoring；
The corresponding multiple business conduct data of target public broadcasting group in the update cycle duration are obtained, and
Based on preset more new formulas, first scoring and the multiple business conduct data are calculated, the second scoring is obtained,
And by second scoring as the corresponding newest group's credit scoring of target public broadcasting group；
According to the corresponding newest group's credit scoring of target public broadcasting group to target public broadcasting group
It is reconfigured.
In one embodiment, the processor 1001 it is described according to broadcast algorithm to target public broadcasting group
Corresponding original group credit scoring each be associated with the corresponding newest group's credit scoring of public broadcasting group and carry out with described
Inside diffusion, to adjust the corresponding original group credit scoring of target public broadcasting group, when obtaining the first scoring, specifically
Execute following steps：
If the broadcast algorithm is heat transfer algorithm, original group credit corresponding to target public broadcasting group
Scoring and it is described it is each be associated with the corresponding newest group's credit scoring progress mean value calculation of public broadcasting group, obtain credit
Score mean value, and using the credit scoring mean value as the first scoring corresponding with target public broadcasting group；
If the broadcast algorithm is label propagation algorithm, obtained in preset tag control library public with the target
Broadcast group with it is described it is each be associated with the corresponding diffusion label of public broadcasting group, and according to each diffusion label adjustment mesh
The corresponding original group credit scoring of public broadcasting group is marked, and the original group credit scoring after adjustment is commented as first
Point；
If the broadcast algorithm be webpage rank PageRank algorithms, in preset data level library search with it is described
Target public broadcasting group with it is described it is each be associated with the corresponding grading system of public broadcasting group, and according to each grading system tune
The corresponding original group credit scoring of whole target public broadcasting group, and using the original group credit scoring after adjustment as
First scoring.
In one embodiment, the more new formula is logistic regression function formula, support vector machines model, depth
Any one formula in learning model.
In one embodiment, the multiple business conduct data include：Complain number, the rate of complaints, the transfer of the first data
Total amount, per capita the first data transfer amount, the second data transfer amount, per capita the second data transfer amount, report number, report rate.
In one embodiment, the processor 1001, also executes following steps：
When the public broadcasting group for detecting new registration, and the corresponding group registration of public broadcasting group of the new registration
When information group registration information corresponding with target public broadcasting group is identical, target public broadcasting group is determined
For the corresponding association public broadcasting group of public broadcasting group of the new registration, in order to subsequently based on the new registration
The corresponding newest group's credit scoring of at least one association public broadcasting group of public broadcasting group associations and the new registration
The corresponding user credit scoring of public broadcasting group, obtain the corresponding original group letter of public broadcasting group of the new registration
With scoring.
The embodiment of the present invention obtains the corresponding group of target public broadcasting group by the data processing equipment 1000 first
Group log-on message；Secondly, according to the group registration information searching associated with target public broadcasting group at least one
A association public broadcasting group, and obtain the corresponding newest group's credit scoring of each association public broadcasting group；Then, root
User information scoring according to the corresponding management user of target public broadcasting group and each newest group's credit scoring, obtain institute
State the corresponding original group credit scoring of target public broadcasting group；Finally, according to the original group credit scoring to described
Target public broadcasting group is configured.It can be seen that find it is associated with target public broadcasting group at least
It, can be according between target public broadcasting group and each association public broadcasting group when one association public broadcasting group
Data correlation, the corresponding original group credit scoring of target public broadcasting group is calculated, and then can be according to institute
It is that the public platform newly reached the standard grade carries out reasonable disposition to state original group credit scoring, is caused not to avoid the user to concern public platform
Good influence can carry out the credit scoring between each public platform internal diffusion in addition, by the relevance between each public platform,
To ensure the authenticity of the credit scoring corresponding to the public platform newly reached the standard grade and comprehensive, and then can be further to access right
Carry out reasonable distribution.
In addition, it need to be noted that be：The embodiment of the present invention additionally provides a kind of computer storage media, and the meter
The computer program performed by the data processing equipment being mentioned above, and the computer program are stored in calculation machine storage medium
Including program instruction embodiment corresponding to Fig. 2 above or Fig. 4 is able to carry out when the processor executes described program instruction
In description to the data processing method therefore will no longer repeat here.In addition, to using the beneficial of same procedure
Effect describes, and is also no longer repeated.For undisclosed technology in computer storage media embodiment according to the present invention
Details please refers to the description of the method for the present invention embodiment.
One of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer read/write memory medium
In, the program is when being executed, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
The above disclosure is only the preferred embodiments of the present invention, cannot limit the right model of the present invention with this certainly
It encloses, therefore equivalent changes made in accordance with the claims of the present invention, is still within the scope of the present invention.
Claims (15)
1. a kind of data processing method, which is characterized in that including：
Obtain the corresponding group registration information of target public broadcasting group；
It is public wide according to the group registration information searching at least one association associated with target public broadcasting group
Group is broadcast, and obtains the corresponding newest group's credit scoring of each association public broadcasting group；
It is scored and each newest group's credit scoring according to the user information of the corresponding management user of target public broadcasting group,
Obtain the corresponding original group credit scoring of target public broadcasting group；
Target public broadcasting group is configured according to the original group credit scoring.
2. according to the method described in claim 1, it is characterized in that,
The group registration information includes：At least one of herd number, registration mailbox, login name log-on message.
3. according to the method described in claim 1, it is characterized in that, described according to the group registration information searching and the mesh
Associated at least one association public broadcasting group of public broadcasting group is marked, and it is right respectively to obtain each association public broadcasting group
The newest group's credit scoring answered, including：
Excavation is associated to each log-on message in the group registration information in preset information relationship repository, to look into
At least one public broadcasting group that there is incidence relation with each log-on message is looked for, as target public broadcasting group
Associated at least one association public broadcasting group；
Obtain the corresponding newest group's credit scoring of each association public broadcasting group；
Wherein, include being associated between multiple group registration information and multiple public broadcasting groups in described information relationship repository
Relationship；Each log-on message in each group registration information has incidence relation at least one public broadcasting group.
4. according to the method described in claim 1, it is characterized in that, further including：
If the duration to be updated of target public broadcasting group reaches preset update cycle duration, according to broadcast algorithm pair
The corresponding original group credit scoring of target public broadcasting group with described each to be associated with public broadcasting group corresponding
Newest group's credit scoring carries out internal diffusion, is commented with adjusting the corresponding original group credit of target public broadcasting group
Point, obtain the first scoring；
The corresponding multiple business conduct data of target public broadcasting group in the update cycle duration are obtained, and are based on
Preset more new formula calculates first scoring and the multiple business conduct data, obtains the second scoring, and will
Second scoring is as the corresponding newest group's credit scoring of target public broadcasting group；
Target public broadcasting group is carried out according to the corresponding newest group's credit scoring of target public broadcasting group
It reconfigures.
5. according to the method described in claim 4, it is characterized in that, it is described according to broadcast algorithm to the target public broadcasting group
The corresponding original group credit scoring of group with it is described it is each be associated with the corresponding newest group's credit scoring of public broadcasting group into
The internal diffusion of row, to adjust the corresponding original group credit scoring of target public broadcasting group, obtains the first scoring, wraps
It includes：
If the broadcast algorithm is heat transfer algorithm, original group credit scoring corresponding to target public broadcasting group
With it is described it is each be associated with the corresponding newest group's credit scoring of public broadcasting group and carry out mean value calculation, obtain credit scoring
Mean value, and using the credit scoring mean value as the first scoring corresponding with target public broadcasting group；
If the broadcast algorithm is label propagation algorithm, obtained and the target public broadcasting in preset tag control library
Group with it is described it is each be associated with the corresponding diffusion label of public broadcasting group, and it is public according to each diffusion label to adjust the target
The corresponding original group credit scoring of broadcast group altogether, and using the original group credit scoring after adjustment as the first scoring；
If the broadcast algorithm is webpage rank PageRank algorithms, searched and the target in preset data level library
Public broadcasting group with it is described it is each be associated with the corresponding grading system of public broadcasting group, and institute is adjusted according to each grading system
The corresponding original group credit scoring of target public broadcasting group is stated, and using the original group credit scoring after adjustment as first
Scoring.
6. according to the method described in claim 4 to 5 any one, which is characterized in that
The more new formula is any one in logistic regression function formula, support vector machines model, deep learning model
Formula.
7. according to the method described in claim 4 to 5 any one, which is characterized in that
The multiple business conduct data include：Complain number, the rate of complaints, the first data transfer amount, per capita the first data turn
Shifting amount, the second data transfer amount, per capita the second data transfer amount, report number, report rate.
8. according to the method described in claim 1, it is characterized in that, further including：
When the public broadcasting group for detecting new registration, and the corresponding group registration information of public broadcasting group of the new registration
When corresponding with target public broadcasting group group registration information is identical, target public broadcasting group is determined as institute
The corresponding association public broadcasting group of public broadcasting group for stating new registration, in order to subsequently based on public with the new registration
Broadcast the public affairs of at least one association public broadcasting group corresponding newest the group's credit scoring and the new registration of group associations
The user information scoring of the corresponding management user of broadcast group altogether, the public broadcasting group for obtaining the new registration are corresponding initial
Group's credit scoring.
9. a kind of data processing equipment, which is characterized in that including：
Log-on message acquisition module, for obtaining the corresponding group registration information of target public broadcasting group；
Acquisition module is searched, for associated with target public broadcasting group extremely according to the group registration information searching
Few association public broadcasting group, and obtain the corresponding newest group's credit scoring of each association public broadcasting group；
Initial score acquisition module, for being scored according to the user information of the corresponding management user of target public broadcasting group
With each newest group's credit scoring, the corresponding original group credit scoring of target public broadcasting group is obtained；
Configuration module, for being configured to target public broadcasting group according to the original group credit scoring.
10. device according to claim 9, which is characterized in that the lookup acquisition module includes：
Related information searching unit is used in preset information relationship repository to each registration in the group registration information
Information is associated excavation, to search at least one public broadcasting group for having incidence relation with each log-on message, makees
For associated at least one association public broadcasting group of target public broadcasting group；
Association scoring acquiring unit, for obtaining the corresponding newest group's credit scoring of each association public broadcasting group；
Wherein, include being associated between multiple group registration information and multiple public broadcasting groups in described information relationship repository
Relationship；Each log-on message in each group registration information has incidence relation at least one public broadcasting group.
11. device according to claim 9, which is characterized in that further include：
Scoring diffusion module, if the duration to be updated for target public broadcasting group reaches the preset update cycle
It is long, then according to broadcast algorithm to the corresponding original group credit scoring of target public broadcasting group with it is described be respectively associated with it is public
It broadcasts the corresponding newest group's credit scoring of group and carries out internal diffusion, to adjust target public broadcasting group correspondence
Original group credit scoring, obtain the first scoring；
Newest scoring computing module is corresponding more for obtaining the target public broadcasting group in the update cycle duration
A business conduct data, and it is based on preset more new formula, first scoring and the multiple business conduct data are carried out
It calculates, obtains the second scoring, and by second scoring as the corresponding newest group's credit of target public broadcasting group
Scoring；
Permission adjusts module, is used for according to the corresponding newest group's credit scoring of target public broadcasting group to the target
Public broadcasting group is reconfigured.
12. according to the devices described in claim 11, which is characterized in that
Module is spread in the scoring, if being heat transfer algorithm specifically for the broadcast algorithm, to the target public broadcasting
The corresponding original group credit scoring of group each is associated with the corresponding newest group's credit scoring of public broadcasting group with described
Carry out mean value calculation, obtain credit scoring mean value, and using the credit scoring mean value as with the target public broadcasting group
Corresponding first scoring of group；Alternatively,
Module is spread in the scoring, if being label propagation algorithm specifically for the broadcast algorithm, in preset tag control
Diffusion label corresponding with target public broadcasting group and each association public broadcasting group, and root are obtained in library
The corresponding original group credit scoring of target public broadcasting group is adjusted according to each diffusion label, and by the initial population after adjustment
Group credit scoring is as the first scoring；Alternatively,
Module is spread in the scoring, if being PageRank algorithms specifically for the broadcast algorithm, in preset data level
Grading system corresponding with target public broadcasting group and each association public broadcasting group, and root are searched in library
The corresponding original group credit scoring of target public broadcasting group is adjusted according to each grading system, and by the initial population after adjustment
Group credit scoring is as the first scoring.
13. device according to claim 9, which is characterized in that further include：
Determining module detects in group, for working as the public broadcasting group for detecting new registration, and the public broadcasting of the new registration
When the corresponding group registration information of group group registration information corresponding with target public broadcasting group is identical, by the mesh
Mark public broadcasting group is determined as the corresponding association public broadcasting group of public broadcasting group of the new registration, in order to follow-up
Based on the corresponding newest group letter of at least one association public broadcasting group of public broadcasting group associations with the new registration
With the user information scoring for the management user corresponding with the public broadcasting group of the new registration that scores, the new registration is obtained
The corresponding original group credit scoring of public broadcasting group.
14. a kind of data processing equipment, which is characterized in that including：Processor, memory and network interface；
The processor, memory are connected with network interface, and the network interface is for providing network communication function, wherein
The memory is for storing program code, and the processor is for calling said program code, to execute following operation：
Obtain the corresponding group registration information of target public broadcasting group；
It is public wide according to the group registration information searching at least one association associated with target public broadcasting group
Group is broadcast, and obtains the corresponding newest group's credit scoring of each association public broadcasting group；
It is scored and each newest group's credit scoring according to the user information of the corresponding management user of target public broadcasting group,
Obtain the corresponding original group credit scoring of target public broadcasting group；
Target public broadcasting group is configured according to the original group credit scoring.
15. a kind of computer storage media, which is characterized in that the computer storage media is stored with computer program, described
Computer program includes program instruction, is executed as described in claim any one of 1-8 when processor executes described program instruction
Method.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104965844A (en) * | 2014-12-29 | 2015-10-07 | 腾讯科技（深圳）有限公司 | Information processing method and apparatus |
| CN105119966A (en) * | 2015-07-15 | 2015-12-02 | 中国联合网络通信集团有限公司 | Official account management method and device |
| CN105138897A (en) * | 2015-08-24 | 2015-12-09 | 百度在线网络技术（北京）有限公司 | Method and device for determining user right |
| CN106156941A (en) * | 2016-06-06 | 2016-11-23 | 腾讯科技（深圳）有限公司 | A kind of user credit scoring optimization method and device |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104965844A (en) * | 2014-12-29 | 2015-10-07 | 腾讯科技（深圳）有限公司 | Information processing method and apparatus |
| CN105119966A (en) * | 2015-07-15 | 2015-12-02 | 中国联合网络通信集团有限公司 | Official account management method and device |
| CN105138897A (en) * | 2015-08-24 | 2015-12-09 | 百度在线网络技术（北京）有限公司 | Method and device for determining user right |
| CN106156941A (en) * | 2016-06-06 | 2016-11-23 | 腾讯科技（深圳）有限公司 | A kind of user credit scoring optimization method and device |
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