CN106611291A - Information push method and device - Google Patents
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- CN106611291A CN106611291A CN201611147658.0A CN201611147658A CN106611291A CN 106611291 A CN106611291 A CN 106611291A CN 201611147658 A CN201611147658 A CN 201611147658A CN 106611291 A CN106611291 A CN 106611291A
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Abstract
The invention discloses an information push method and device. A specific implementation way of the method comprises the following steps: acquiring enterprise information, wherein the enterprise information comprises enterprise attribute features and enterprise data features; determining enterprise categories that enterprises corresponding to the enterprise information belong to according to the enterprise information; determining risk indicators of the enterprises corresponding to the enterprise information according to the enterprise categories that the enterprises corresponding to the enterprise information belong to; acquiring data used for calculating risk indicator values of the determined risk indicators from the enterprise data features of the enterprise information, and calculating the risk indicator values of the enterprises corresponding to the enterprise information; and determining risk early-warning levels of the enterprises corresponding to the enterprise information based on a calculation result of the risk indicator values, and pushing information including the risk early-warning levels. The implementation way can automatically acquire and push the information including the risk early-warning levels according to the enterprise categories that the enterprises belong to, thereby effectively improving the universality of risk information acquisition, simplifying the information acquisition process, and reducing the cost.
Description
Technical field
The application is related to field of computer technology, and in particular to field of information processing, more particularly to information-pushing method and
Device.
Background technology
With the high speed development of Enterprise Informatization Technology, gradually realized to business activity by using types of applications software
Management and monitoring, for example, can be realized to business capital and its motor process by using the financial management system of enterprise
Management, by using the number that enterprise tax risk management system can be provided according to data such as business finance, statistics, business calculations
Factually show identificating and evaluating and monitoring for the taxation risk to enterprise.Various risks, example are faced with during enterprise operation
Such as, Strategic Risk, financial risk, taxation risk etc., the data that can be produced by analyzing types of applications software at this stage are obtained
To the risk information of enterprise.Then, because the enterprises characteristicses of each enterprise are different, generally require to be provided not for different enterprises
Same risk analysis method, to obtain the risk information of enterprise, therefore, cause whole risk information acquisition process that there is versatility
Difference, high cost, the shortcomings of complexity is high.
The content of the invention
The purpose of the application is to propose a kind of improved information-pushing method and device to solve background above technology department
Divide the technical problem mentioned.
In a first aspect, this application provides a kind of information-pushing method, including：Company information is obtained, wherein, the enterprise
Information includes enterprise attributes feature and business data feature；The corresponding enterprise of the company information is determined according to the company information
Affiliated enterprise sort, wherein, enterprise sort is to divide in advance；Enterprise according to belonging to the corresponding enterprise of the company information
Classification determines the risk indicator of the corresponding enterprise of the company information, wherein, the risk indicator of each enterprise sort is to choose in advance
's；The number for calculating the risk indicator value for determining risk indicator is obtained from the business data feature of the company information
According to, and calculate the risk indicator value of the corresponding enterprise of the company information；Result of calculation based on risk indicator value determines described
The Risk-warning rank of the corresponding enterprise of company information, and the information comprising Risk-warning rank is pushed.
In certain embodiments, enterprise sort divides obtain in the following manner：Enterprise at least one enterprise
Information carries out cluster analyses, obtains the enterprise sort for dividing.
In certain embodiments, the enterprise according to belonging to the company information determines the corresponding enterprise of the company information
Industry classification, including：Each cluster centre that the company information is obtained with cluster analyses is calculated using cosine similarity method
Similarity；Enterprise sort according to belonging to calculated similarity judges the corresponding enterprise of the company information.
In certain embodiments, the risk indicator of each enterprise sort is chosen in the following manner：Managed using rough set
By from for enterprise sort, risk indicator that the enterprise sort is chosen in risk indicator set set in advance.
In certain embodiments, the result of calculation based on risk indicator value determines the corresponding enterprise of the company information
Risk-warning rank, including：By belonging to the result of calculation of risk indicator value enterprise corresponding with the company information is directed to
The interval upper and lower limit of enterprise sort Risk-warning set in advance is compared, and according to comparative result the company information is judged
The Risk-warning rank of corresponding enterprise.
In certain embodiments, methods described also includes：Method based on statistical analysiss is each enterprise sort setting wind
Dangerous early warning is interval.
In certain embodiments, the method based on statistical analysiss is interval for each enterprise sort setting Risk-warning,
Including：Mean μ, variances sigma and the coefficient of dispersion CV of the risk indicator value of each enterprise that enterprise sort includes are calculated, wherein,
CV=σ/μ；If CV≤0.4, interval upper limit w of Risk-warninguWith lower limit wdCalculate in the following way respectively：wu=μ+
σ, wd=μ-σ；If CV ＞ 0.4, and μ >=0, then interval upper limit w of Risk-warninguWith lower limit wdCount in the following way respectively
Calculate：wu=μ × (1+ σ), wd=μ × (1- σ)；If CV ＞ 0.4, and μ ＜ 0, then interval upper limit w of Risk-warninguWith lower limit wd
Calculate in the following way respectively：wu=μ × (1- σ), wd=μ × (1+ σ).
Second aspect, this application provides a kind of information push-delivery apparatus, including：Acquiring unit, for obtaining company information,
Wherein, the company information includes enterprise attributes feature and business data feature；First determining unit, for according to the enterprise
Information determines the enterprise sort belonging to the corresponding enterprise of the company information, wherein, enterprise sort is to divide in advance；Second is true
Order unit, for the enterprise sort according to belonging to the corresponding enterprise of the company information the corresponding enterprise of the company information is determined
Risk indicator, wherein, the risk indicator of each enterprise sort is to choose in advance；Computing unit, for from the company information
Business data feature in obtain and believe for calculating the data of the risk indicator value for determining risk indicator, and calculating the enterprise
Cease the risk indicator value of corresponding enterprise；Push unit, for determining enterprise's letter based on the result of calculation of risk indicator value
The Risk-warning rank of corresponding enterprise is ceased, and the information comprising Risk-warning rank is pushed.
In certain embodiments, described device also includes：Enterprise sort division unit, for the enterprise at least one enterprise
Industry information carries out cluster analyses, obtains the enterprise sort for dividing.
In certain embodiments, first determining unit is further used for：Calculate described using cosine similarity method
The similarity of each cluster centre that company information is obtained with cluster analyses；The enterprise is judged according to calculated similarity
Enterprise sort belonging to the corresponding enterprise of information.
In certain embodiments, described device also includes：Risk indicator choose unit, for using rough set theory from pin
Risk indicator to choosing the enterprise sort in risk indicator set enterprise sort, set in advance.
In certain embodiments, the push unit is further used for：By the result of calculation of risk indicator value and for institute
State the interval upper and lower limit of the Risk-warning set in advance of the enterprise sort belonging to the corresponding enterprise of company information to be compared, root
Judge the Risk-warning rank of the corresponding enterprise of the company information according to comparative result.
In certain embodiments, described device also includes：Setup unit, is each enterprise for the method based on statistical analysiss
Industry category setting Risk-warning is interval.
In certain embodiments, the setup unit is further used for：Calculate each enterprise that enterprise sort includes
The mean μ of risk indicator value, variances sigma and coefficient of dispersion CV=σ/μ；If CV≤0.4, interval upper limit w of Risk-warninguWith
Lower limit wdCalculate in the following way respectively：wu=μ+σ, wd=μ-σ；If CV ＞ 0.4, and μ >=0, then Risk-warning is interval
Upper limit wuWith lower limit wdCalculate in the following way respectively：wu=μ × (1+ σ), wd=μ × (1- σ)；If CV ＞ 0.4, and μ ＜
0, then interval upper limit w of Risk-warninguWith lower limit wdCalculate in the following way respectively：wu=μ × (1- σ), wd=μ × (1+
σ)。
Information-pushing method and device that the application is provided, determine the corresponding enterprise of company information according to company information first
Affiliated enterprise sort, then according to the enterprise sort for determining determining the risk indicator of the corresponding enterprise of company information, afterwards,
Data are obtained from the business data feature of company information to calculate the risk indicator value of the risk indicator of determination, are finally based on meter
The risk indicator value for obtaining determines the Risk-warning rank of the corresponding enterprise of company information, and will include Risk-warning rank
Information is pushed, so as to realize that the letter comprising Risk-warning rank is obtained and pushed automatically according to the enterprise sort belonging to enterprise
Breath, effectively raises the versatility of risk information acquisition, simplifies information access process, reduces cost.
Description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, the application other
Feature, objects and advantages will become more apparent upon：
Fig. 1 is that the application can apply to exemplary system architecture figure therein；
Fig. 2 is the flow chart of one embodiment of the information-pushing method according to the application；
Fig. 3 is the schematic diagram of an application scenarios of the information-pushing method according to the application；
Fig. 4 is the structural representation of one embodiment of the information push-delivery apparatus according to the application；
Fig. 5 is adapted for the structural representation for realizing the terminal unit of the embodiment of the present application or the computer system of server
Figure.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that, in order to
Be easy to description, illustrate only in accompanying drawing to about the related part of invention.
It should be noted that in the case where not conflicting, the feature in embodiment and embodiment in the application can phase
Mutually combination.Below with reference to the accompanying drawings and in conjunction with the embodiments describing the application in detail.
Fig. 1 shows the exemplary system of the embodiment of the information-pushing method or information push-delivery apparatus that can apply the application
System framework 100.
As shown in figure 1, system architecture 100 can include terminal unit 101,102,103, network 104 and server 105.
Network 104 between terminal unit 101,102,103 and server 105 provide communication link medium.Network 104 can be with
Including various connection types, such as wired, wireless communication link or fiber optic cables etc..
User can be interacted by network 104 with using terminal equipment 101,102,103 with server 105, to receive or send out
Send message etc..Various applications, the financial management class application of such as enterprise, tax can be installed on terminal unit 101,102,103
Business risk management class application, Enterprise Resources Plan class application etc..
Terminal unit 101,102,103 can be with display screen and support that the various electronics that company information is processed set
It is standby, including but not limited to smart mobile phone, panel computer, E-book reader, MP3 player (Moving Picture
Experts Group Audio Layer III, dynamic image expert's compression standard audio frequency aspect 3), MP4 (Moving
Picture Experts Group Audio Layer IV, dynamic image expert's compression standard audio frequency aspect 4) player, knee joint
Mo(u)ld top half pocket computer and desk computer etc..
Server 105 can be to provide the server of various services, such as to display on terminal unit 101,102,103
Business risk information provides the background server supported.Background server can obtain company information, and company information is carried out
Analyze so as to obtain the risk information of the corresponding enterprise of company information, and by risk information be pushed to terminal unit 101,102,
103。
It should be noted that the information-pushing method that provided of the embodiment of the present application can by terminal unit 101,102,
103 individually perform, or can also individually be performed by server 105.Correspondingly, information push-delivery apparatus can be arranged at terminal and set
In standby 101,102,103, it is also possible in being arranged at server 105.
It should be understood that the number of the terminal unit, network and server in Fig. 1 is only schematic.According to realizing need
Will, can have any number of terminal unit, network and server.
With continued reference to Fig. 2, the flow process 200 of one embodiment of information-pushing method according to the application is shown.It is described
Information-pushing method, comprise the following steps：
Step 201, obtains company information.
In the present embodiment, information-pushing method operation electronic equipment (such as terminal unit shown in Fig. 1 thereon
101st, 102,103 or server 105) can be from locally-installed application software (such as application of financial management class, taxation risk
Management-type application, Enterprise Resources Plan class application etc.) in or from remote equipment obtain company information.Here, company information
Enterprise attributes feature and business data feature can be included, wherein, enterprise attributes feature can be the essential information attribute of enterprise,
Industry, area, business scope, scale etc. can specifically be included；Business data feature can be soft from the application of enterprise's installation
The various data characteristicses related to business risk obtained in part, for example, when the taxation risk of certain enterprise is analyzed, enterprise's number
Can be finance, financial accounting, financial management, material, engineering, sale, project management, occurrences in human life pipe from the enterprise according to feature
Various information obtaining in the application system of the departments such as reason, customer relationship, planned budget, being related to taxation risk.
Step 202, the enterprise sort according to belonging to company information determines the corresponding enterprise of company information.
In the present embodiment, above-mentioned electronic equipment can determine enterprise's letter according to the company information obtained in step 201
Cease the enterprise sort belonging to corresponding enterprise, for example, can according to included by above-mentioned company information is with each enterprise sort enterprise
The similarity of company information determines the enterprise sort belonging to the corresponding enterprise of the company information.Wherein, enterprise sort can be logical
Artificial dividing mode or ready-portioned in advance by the automatic dividing mode of set algorithm is crossed, the enterprise sort of division can include
Financial enterprise, food and drink class enterprise, real estate class enterprise etc..
In some optional implementations of the present embodiment, enterprise sort can divide to obtain in the following manner
's：Above-mentioned electronic equipment or other be used to dividing the electronic equipment of enterprise sort can be to the company information of at least one enterprise
Cluster analyses are carried out, the enterprise sort for dividing is obtained.For example, vector space model (VSM, Vector can be adopted first
Space Model) company information of above-mentioned at least one enterprise is expressed as into vector form, calculated using K-MEANS clusters afterwards
Method (K- mean algorithms) carries out cluster analyses to the company information of vector form, finally gives the enterprise sort of division.
In some optional implementations, step 202 can be specifically included：Cosine similarity method can be adopted first
The similarity of each cluster centre that above-mentioned company information is obtained with cluster analyses is calculated, above-mentioned company information can be with table during calculating
Vector form is shown as, afterwards, enterprise that can be according to belonging to calculated similarity judges the corresponding enterprise of above-mentioned company information
Industry classification, for example, can believe the classification belonging to the cluster centre maximum with above-mentioned company information similarity as above-mentioned enterprise
Cease the classification belonging to corresponding enterprise.
Step 203, the enterprise sort according to belonging to the corresponding enterprise of company information determines the corresponding enterprise of company information
Risk indicator.
In the present embodiment, above-mentioned electronic equipment can be according to belonging to the corresponding enterprise of company information that step 202 is obtained
Enterprise sort determine the risk indicator of the corresponding enterprise of company information, generally, the enterprise of different enterprise sorts is carrying out risk
There is larger difference in the risk indicator used during analysis, for example, when taxation risk analysis is carried out, financial enterprise is related to borrow
The similar risk indicator such as money, interest rate is on the high side, and the risk indicator that mineral products class enterprise is related in terms of resource is on the high side.Here, each enterprise
The risk indicator of industry classification can be chosen in advance.
In some optional implementations of the present embodiment, the risk indicator of each enterprise sort can be by with lower section
What formula was chosen：Above-mentioned electronic equipment or other electronic equipments for being used to choose risk indicator can utilize rough set theory from pin
Risk indicator to choosing the enterprise sort in risk indicator set enterprise sort, set in advance.Using rough set theory
Choose the redundancy risk indicator that risk indicator can be removed effectively in risk indicator set.Here, above-mentioned risk indicator set
Can set manually, for example, carry out taxation risk analyze when, property tax expert can according to the enterprises characteristicses of each enterprise with
And previous experiences set the risk indicator of the enterprise, and build the risk evaluation model for carrying out risk assessment.
Step 204, obtains from the business data feature of company information and determines that the risk of risk indicator refers to for calculating
The data of scale value, and calculate the risk indicator value of the corresponding enterprise of company information.
In the present embodiment, above-mentioned electronic equipment can be obtained for calculating from the business data feature of company information
Determine the data of the risk indicator value of risk indicator, and application risk assessment experts computation rule set in advance or take in advance
The risk evaluation model built calculates the risk indicator value of the corresponding enterprise of company information.
Step 205, based on the result of calculation of risk indicator value the Risk-warning rank of the corresponding enterprise of company information is determined,
And pushed the information comprising Risk-warning rank.
In the present embodiment, above-mentioned electronic equipment can determine enterprise based on the calculated risk indicator value of step 204
The Risk-warning rank of the corresponding enterprise of information, for example, above-mentioned electronic equipment can by calculated risk indicator value with it is pre-
The risk indicator threshold value for first setting is contrasted, so that it is determined that the Risk-warning rank of the corresponding enterprise of company information.Here,
Risk-warning rank can be preset according to actual needs, for example, can be according to the urgency level of risk by Risk-warning
Rank be divided into normally, need to pay close attention to risk, suspicious risk, warning risk, the class of risk out of control five.It is determined that the corresponding enterprise of company information
After the Risk-warning rank of industry, above-mentioned electronic equipment can also be pushed away the risk information comprising above-mentioned Risk-warning rank
Send, for example, can be pushed to local display device or the remote equipment specified.
In some optional implementations of the present embodiment, the above-mentioned result of calculation based on risk indicator value determines enterprise
The Risk-warning rank of the corresponding enterprise of information, can specifically include：Above-mentioned electronic equipment can be by the calculating of risk indicator value
The upper and lower limit in the enterprise sort Risk-warning interval set in advance as a result belonging to enterprise corresponding with above-mentioned company information is directed to
It is compared, the Risk-warning rank of the corresponding enterprise of above-mentioned company information is judged according to comparative result.For example, risk indicator is worked as
When the result of calculation of value is between the interval upper and lower limit of Risk-warning, early warning result is " normal ", is otherwise "abnormal".At this
In, the different Risk-warning ranks such as normal, prompting, warning, grave warning can also be further divided into, such as, when early warning knot
Fruit is " normal ", and the accuracy that risk indicator value is calculated more than 0.8, then Risk-warning rank is normal；When early warning result
For " normal ", and the accuracy that risk indicator value is calculated is between 0.7-0.79, then Risk-warning rank is to remind；When early warning knot
Fruit is " normal ", and the accuracy that risk indicator value is calculated is between 0.5-0.69, or early warning result is "abnormal", and risk
Between 0.5-0.69, then Risk-warning rank is warning to the accuracy that desired value is calculated；When early warning result is "abnormal", and wind
More than 0.7, then Risk-warning rank is grave warning to the accuracy that dangerous desired value is calculated.Here, risk indicator value is calculated
Accuracy can be determined by the computation rule of calculation risk desired value or risk evaluation model, risk assessment expert setting
Computation rule is built before risk evaluation model, can choose company information normal or abnormal known to a part as instruction
Practice collection, and using training set setup algorithm rule or build risk evaluation model, reuse known to another part it is normal or
Abnormal company information is tested the computation rule for setting or the risk evaluation model built as test set, and is counted
Test result, so that it is determined that the accuracy of the prediction of the computation rule of setting or the risk evaluation model built.
In some optional implementations, it is each enterprise that above-mentioned electronic equipment is also based on the method for statistical analysiss
Category setting Risk-warning is interval.For example, each enterprise that above-mentioned electronic equipment can include first to each enterprise sort
Risk indicator value carry out statistical analysiss, then, Risk-warning is set according to statistic analysis result interval.
Optionally, the above-mentioned method based on statistical analysiss is interval for each enterprise sort setting Risk-warning, specifically can be with
Including：Mean μ, variances sigma and the coefficient of dispersion CV of the risk indicator value of each enterprise that enterprise sort includes are calculated, wherein,
CV=σ/μ；If CV≤0.4, interval upper limit w of Risk-warninguWith lower limit wdCan calculate in the following way respectively：wu
=μ+σ, wd=μ-σ；If CV ＞ 0.4, and μ >=0, then interval upper limit w of Risk-warninguWith lower limit wdRespectively can be by such as
Under type is calculated：wu=μ × (1+ σ), wd=μ × (1- σ)；If CV ＞ 0.4, and μ ＜ 0, then interval upper limit w of Risk-warningu
With lower limit wdCan calculate in the following way respectively：wu=μ × (1- σ), wd=μ × (1+ σ).
With continued reference to Fig. 3, Fig. 3 is a schematic diagram of the application scenarios of the information-pushing method according to the present embodiment.
In the application scenarios of Fig. 3, for analyzing finance, financial accounting, the wealth of the computer first from enterprise A of the taxation risk of enterprise A
Obtain in the application systems of department such as business management, material, engineering, sale, project management, personnel management, customer relationship, planned budget
Take company information；Secondly, enterprise sort of the computer according to belonging to the company information for obtaining determines enterprise A；Again, according to enterprise
Enterprise sort belonging to A determines the risk indicator of enterprise A；Then, obtain based on from the business data feature of company information
Calculation determines the data of the risk indicator value of risk indicator, and calculates the risk indicator value of enterprise A；Finally, based on risk indicator
The result of calculation of value determines that the Risk-warning rank of enterprise A is " normal ", and the information pushing comprising Risk-warning rank is given
Display device shown, will be as shown in Figure 3.
The method that above-described embodiment of the application is provided is according to belonging to company information determines the corresponding enterprise of company information
Enterprise sort, and obtain automatically according to the enterprise sort belonging to enterprise and push the information comprising Risk-warning rank, so as to have
The versatility that improve risk information acquisition of effect, simplifies information access process, reduces cost.
With further reference to Fig. 4, as the realization to method shown in above-mentioned Fig. 2, this application provides a kind of information pushing dress
The one embodiment put, the device embodiment is corresponding with the embodiment of the method shown in Fig. 2, and the device specifically can apply to respectively
In planting electronic equipment.
As shown in figure 4, the information push-delivery apparatus 400 described in the present embodiment include：Acquiring unit 401, the first determining unit
402nd, the second determining unit 403, computing unit 404 and push unit 405.Wherein, acquiring unit 401 is used to obtain enterprise's letter
Breath, wherein, above-mentioned company information includes enterprise attributes feature and business data feature；First determining unit 402 be used for according to
State company information and determine enterprise sort belonging to the corresponding enterprise of above-mentioned company information, wherein, enterprise sort is to divide in advance；
The enterprise sort that second determining unit 403 is used for according to belonging to the corresponding enterprise of above-mentioned company information determines above-mentioned company information pair
The risk indicator of the enterprise answered, wherein, the risk indicator of each enterprise sort is to choose in advance；Computing unit 404 be used for from
Obtain in the business data feature for stating company information for calculating the data of the risk indicator value for determining risk indicator, and calculate
The risk indicator value of the corresponding enterprise of above-mentioned company information；The result of calculation that push unit 405 is used for based on risk indicator value is true
Determine the Risk-warning rank of the corresponding enterprise of above-mentioned company information, and the information comprising Risk-warning rank is pushed.
In the present embodiment, acquiring unit 401, the first determining unit 402, the second determining unit 403, computing unit 404
With the concrete process of push unit 405 may be referred to the corresponding embodiment steps 201 of Fig. 2, step 202, step 203, step 204 and
The detailed description of step 205, will not be described here.
In some optional implementations of the present embodiment, said apparatus 400 also include：Enterprise sort division unit
(not shown), for carrying out cluster analyses to the company information of at least one enterprise, obtains the enterprise sort for dividing.The realization side
Formula refers to the detailed description of corresponding implementation in above-mentioned Fig. 2 correspondences embodiment, will not be described here.
In some optional implementations of the present embodiment, above-mentioned first determining unit 402 is further used for：Using remaining
String similarity based method calculates the similarity of each cluster centre that above-mentioned company information is obtained with cluster analyses；According to being calculated
The similarity enterprise sort that judges belonging to the corresponding enterprise of above-mentioned company information.The implementation refers to above-mentioned Fig. 2 correspondences
The detailed description of corresponding implementation, will not be described here in embodiment.
In some optional implementations of the present embodiment, said apparatus 400 also include：Risk indicator chooses unit
(not shown), for using rough set theory from for enterprise sort, in risk indicator set set in advance choose the enterprise
The risk indicator of industry classification.The implementation refers to the detailed description of corresponding implementation in above-mentioned Fig. 2 correspondences embodiment,
This is repeated no more.
In some optional implementations of the present embodiment, above-mentioned push unit 405 is further used for：By risk indicator
Enterprise sort Risk-warning set in advance belonging to the result of calculation of value enterprise corresponding with above-mentioned company information is directed to is interval
Upper and lower limit be compared, the Risk-warning rank of the corresponding enterprise of above-mentioned company information is judged according to comparative result.The realization
Mode refers to the detailed description of corresponding implementation in above-mentioned Fig. 2 correspondences embodiment, will not be described here.
In some optional implementations of the present embodiment, said apparatus 400 also include：Setup unit (not shown),
It is interval for each enterprise sort setting Risk-warning for the method based on statistical analysiss.The implementation refers to above-mentioned Fig. 2
The detailed description of corresponding implementation, will not be described here in correspondence embodiment.
In some optional implementations of the present embodiment, above-mentioned setup unit is further used for：Calculate enterprise sort
The mean μ of the risk indicator value of each enterprise for including, variances sigma and coefficient of dispersion CV, wherein, CV=σ/μ；If CV≤
0.4, then interval upper limit w of Risk-warninguWith lower limit wdCalculate in the following way respectively：wu=μ+σ, wd=μ-σ；If CV
＞ 0.4, and μ >=0, then interval upper limit w of Risk-warninguWith lower limit wdCalculate in the following way respectively：wu=μ × (1+ σ),
wd=μ × (1- σ)；If CV ＞ 0.4, and μ ＜ 0, then interval upper limit w of Risk-warninguWith lower limit wdRespectively in the following way
Calculate：wu=μ × (1- σ), wd=μ × (1+ σ).The implementation refers to corresponding implementation in above-mentioned Fig. 2 correspondences embodiment
Detailed description, will not be described here.
Below with reference to Fig. 5, it illustrates and be suitable to for realizing the terminal unit of the embodiment of the present application or the calculating of server
The structural representation of machine system 500.
As shown in figure 5, computer system 500 includes CPU (CPU) 501, it can be read-only according to being stored in
In memorizer (ROM) 502
Program is performed various suitable from the storage program that is loaded in random access storage device (RAM) 503 of part 508
When action and process.In RAM 503, the system that is also stored with 500 operates required various programs and data.CPU 501、
ROM 502 and RAM 503 is connected with each other by bus 504.Input/output (I/O) interface 505 is also connected to bus 504.
I/O interfaces 505 are connected to lower component：Including the importation 506 of keyboard, mouse etc.；Penetrate including such as negative electrode
The output par, c 507 of spool (CRT), liquid crystal display (LCD) etc. and speaker etc.；Storage part 508 including hard disk etc.；
And the communications portion 509 of the NIC including LAN card, modem etc..Communications portion 509 via such as because
The network of spy's net performs communication process.Driver 510 is also according to needing to be connected to I/O interfaces 505.Detachable media 511, such as
Disk, CD, magneto-optic disk, semiconductor memory etc., as needed in driver 510, in order to read from it
Computer program be mounted into as needed storage part 508.
Especially, in accordance with an embodiment of the present disclosure, may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program, and it includes being tangibly embodied in machine readable
Computer program on medium, the computer program includes the program code for the method shown in execution flow chart.At this
In the embodiment of sample, the computer program can be downloaded and installed by communications portion 509 from network, and/or from removable
Unload medium 511 to be mounted.When the computer program is performed by CPU (CPU) 501, in performing the present processes
The above-mentioned functions of restriction.
Flow chart and block diagram in accompanying drawing, it is illustrated that according to the system of the various embodiments of the application, method and computer journey
The architectural framework in the cards of sequence product, function and operation.At this point, each square frame in flow chart or block diagram can generation
A part for table one module, program segment or code a, part for the module, program segment or code includes one or more
For realizing the executable instruction of the logic function of regulation.It should also be noted that in some realizations as replacement, institute in square frame
The function of mark can also be with different from the order marked in accompanying drawing generation.For example, the two square frame reality for succeedingly representing
On can perform substantially in parallel, they can also be performed in the opposite order sometimes, and this is depending on involved function.Also
It is noted that the combination of block diagram and/or each square frame in flow chart and block diagram and/or the square frame in flow chart, Ke Yiyong
Perform the function of regulation or the special hardware based system of operation to realize, or can be referred to computer with specialized hardware
The combination of order is realizing.
Being described in unit involved in the embodiment of the present application can be realized by way of software, it is also possible to by hard
The mode of part is realizing.Described unit can also be arranged within a processor, for example, can be described as：A kind of processor bag
Include acquiring unit, the first determining unit, the second determining unit, computing unit and push unit.Wherein, the title of these units exists
Do not constitute in the case of certain to the unit restriction of itself, for example, acquiring unit is also described as " obtaining company information
Unit ".
As on the other hand, present invention also provides a kind of nonvolatile computer storage media, the non-volatile calculating
Machine storage medium can be the nonvolatile computer storage media described in above-described embodiment included in device；Can also be
Individualism, without the nonvolatile computer storage media allocated in terminal.Above-mentioned nonvolatile computer storage media is deposited
One or more program is contained, when one or more of programs are performed by an equipment so that the equipment：Obtain
Company information, wherein, the company information includes enterprise attributes feature and business data feature；Determined according to the company information
Enterprise sort belonging to the corresponding enterprise of the company information, wherein, enterprise sort is to divide in advance；Believed according to the enterprise
The risk indicator that the enterprise sort belonging to corresponding enterprise determines the corresponding enterprise of the company information is ceased, wherein, each enterprise-class
Other risk indicator is to choose in advance；Obtain from the business data feature of the company information and determine risk for calculating
The data of the risk indicator value of index, and calculate the risk indicator value of the corresponding enterprise of the company information；Based on risk indicator
The result of calculation of value determines the Risk-warning rank of the corresponding enterprise of the company information, and will include the letter of Risk-warning rank
Breath is pushed.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.People in the art
Member should be appreciated that invention scope involved in the application, however it is not limited to the technology of the particular combination of above-mentioned technical characteristic
Scheme, while also should cover in the case of without departing from the inventive concept, is carried out by above-mentioned technical characteristic or its equivalent feature
Combination in any and other technical schemes for being formed.Such as features described above has similar work(with (but not limited to) disclosed herein
The technical scheme that the technical characteristic of energy is replaced mutually and formed.
Claims (14)
1. a kind of information-pushing method, it is characterised in that methods described includes：
Company information is obtained, wherein, the company information includes enterprise attributes feature and business data feature；
Enterprise sort according to belonging to the company information determines the corresponding enterprise of the company information, wherein, enterprise sort is
Divide in advance；
Enterprise sort according to belonging to the corresponding enterprise of the company information determines the risk of the corresponding enterprise of the company information
Index, wherein, the risk indicator of each enterprise sort is to choose in advance；
The number for calculating the risk indicator value for determining risk indicator is obtained from the business data feature of the company information
According to, and calculate the risk indicator value of the corresponding enterprise of the company information；
The Risk-warning rank of the corresponding enterprise of the company information is determined based on the result of calculation of risk indicator value, and will be included
The information of Risk-warning rank is pushed.
2. method according to claim 1, it is characterised in that enterprise sort divides obtain in the following manner：
Cluster analyses are carried out to the company information of at least one enterprise, the enterprise sort for dividing is obtained.
3. method according to claim 2, it is characterised in that described that the company information is determined according to the company information
Enterprise sort belonging to corresponding enterprise, including：
The similarity of each cluster centre that the company information is obtained with cluster analyses is calculated using cosine similarity method；
Enterprise sort according to belonging to calculated similarity judges the corresponding enterprise of the company information.
4. method according to claim 1, it is characterised in that the risk indicator of each enterprise sort is to select in the following manner
Take：
Using rough set theory from for enterprise sort, wind that the enterprise sort is chosen in risk indicator set set in advance
Dangerous index.
5. method according to claim 1, it is characterised in that the result of calculation based on risk indicator value determines described
The Risk-warning rank of the corresponding enterprise of company information, including：
Enterprise sort belonging to the result of calculation of risk indicator value enterprise corresponding with the company information is directed to is preset
The interval upper and lower limit of Risk-warning be compared, the risk of the corresponding enterprise of the company information is judged according to comparative result
Warning level.
6. method according to claim 5, it is characterised in that methods described also includes：
Method based on statistical analysiss is interval for each enterprise sort setting Risk-warning.
7. method according to claim 6, it is characterised in that the method based on statistical analysiss is each enterprise sort
Setting Risk-warning is interval, including：
Mean μ, variances sigma and the coefficient of dispersion CV of the risk indicator value of each enterprise that enterprise sort includes are calculated, wherein, CV
=σ/μ；
If CV≤0.4, interval upper limit w of Risk-warninguWith lower limit wdCalculate in the following way respectively：wu=μ+σ, wd=
μ-σ；
If CV ＞ 0.4, and μ >=0, then interval upper limit w of Risk-warninguWith lower limit wdCalculate in the following way respectively：wu=
μ × (1+ σ), wd=μ × (1- σ)；
If CV ＞ 0.4, and μ ＜ 0, then interval upper limit w of Risk-warninguWith lower limit wdCalculate in the following way respectively：wu=
μ × (1- σ), wd=μ × (1+ σ).
8. a kind of information push-delivery apparatus, it is characterised in that described device includes：
Acquiring unit, for obtaining company information, wherein, the company information includes that enterprise attributes feature and business data are special
Levy；
First determining unit, for the enterprise-class belonging to determining the corresponding enterprise of the company information according to the company information
Not, wherein, enterprise sort is to divide in advance；
Second determining unit, for the enterprise sort according to belonging to the corresponding enterprise of the company information company information is determined
The risk indicator of corresponding enterprise, wherein, the risk indicator of each enterprise sort is to choose in advance；
Computing unit, for obtaining from the business data feature of the company information for calculating the wind for determining risk indicator
The data of dangerous desired value, and calculate the risk indicator value of the corresponding enterprise of the company information；
Push unit, for determining the Risk-warning of the corresponding enterprise of the company information based on the result of calculation of risk indicator value
Rank, and the information comprising Risk-warning rank is pushed.
9. device according to claim 8, it is characterised in that described device also includes：
Enterprise sort division unit, for carrying out cluster analyses to the company information of at least one enterprise, obtains the enterprise for dividing
Classification.
10. device according to claim 9, it is characterised in that first determining unit is further used for：
The similarity of each cluster centre that the company information is obtained with cluster analyses is calculated using cosine similarity method；
Enterprise sort according to belonging to calculated similarity judges the corresponding enterprise of the company information.
11. devices according to claim 8, it is characterised in that described device also includes：
Risk indicator chooses unit, for using rough set theory from for enterprise sort, risk indicator collection set in advance
The risk indicator of the enterprise sort is chosen in conjunction.
12. devices according to claim 8, it is characterised in that the push unit is further used for：
Enterprise sort belonging to the result of calculation of risk indicator value enterprise corresponding with the company information is directed to is preset
The interval upper and lower limit of Risk-warning be compared, the risk of the corresponding enterprise of the company information is judged according to comparative result
Warning level.
13. devices according to claim 12, it is characterised in that described device also includes：
Setup unit, it is interval for each enterprise sort setting Risk-warning for the method based on statistical analysiss.
14. devices according to claim 13, it is characterised in that the setup unit is further used for：
Mean μ, variances sigma and the coefficient of dispersion CV of the risk indicator value of each enterprise that enterprise sort includes are calculated, wherein, CV
=σ/μ；
If CV≤0.4, interval upper limit w of Risk-warninguWith lower limit wdCalculate in the following way respectively：wu=μ+σ, wd=
μ-σ；
If CV ＞ 0.4, and μ >=0, then interval upper limit w of Risk-warninguWith lower limit wdCalculate in the following way respectively：wu=
μ × (1+ σ), wd=μ × (1- σ)；
If CV ＞ 0.4, and μ ＜ 0, then interval upper limit w of Risk-warninguWith lower limit wdCalculate in the following way respectively：wu=
μ × (1- σ), wd=μ × (1+ σ).
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611147658.0A CN106611291A (en) | 2016-12-13 | 2016-12-13 | Information push method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611147658.0A CN106611291A (en) | 2016-12-13 | 2016-12-13 | Information push method and device |
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| Publication Number | Publication Date |
|---|---|
| CN106611291A true CN106611291A (en) | 2017-05-03 |
Family
ID=58636731
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611147658.0A Pending CN106611291A (en) | 2016-12-13 | 2016-12-13 | Information push method and device |
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| CN107368975A (en) * | 2017-07-21 | 2017-11-21 | 上海携程商务有限公司 | Data checking method, system, storage medium and electronic equipment |
| CN108197621A (en) * | 2017-12-28 | 2018-06-22 | 北京金堤科技有限公司 | Company information acquisition methods and system and information processing method and system |
| CN108428178A (en) * | 2018-02-01 | 2018-08-21 | 深圳市资本在线金融信息服务有限公司 | financing risk control method, device, equipment and storage medium |
| CN109150934A (en) * | 2017-06-16 | 2019-01-04 | 百度在线网络技术（北京）有限公司 | Information-pushing method and device |
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| CN109150934A (en) * | 2017-06-16 | 2019-01-04 | 百度在线网络技术（北京）有限公司 | Information-pushing method and device |
| CN107368975A (en) * | 2017-07-21 | 2017-11-21 | 上海携程商务有限公司 | Data checking method, system, storage medium and electronic equipment |
| CN108197621A (en) * | 2017-12-28 | 2018-06-22 | 北京金堤科技有限公司 | Company information acquisition methods and system and information processing method and system |
| CN108428178A (en) * | 2018-02-01 | 2018-08-21 | 深圳市资本在线金融信息服务有限公司 | financing risk control method, device, equipment and storage medium |
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| CN109523117A (en) * | 2018-10-11 | 2019-03-26 | 平安科技（深圳）有限公司 | Risk Forecast Method, device, computer equipment and storage medium |
| CN109523116A (en) * | 2018-10-11 | 2019-03-26 | 平安科技（深圳）有限公司 | Business risk analysis method, device, computer equipment and storage medium |
| CN110084493A (en) * | 2019-04-11 | 2019-08-02 | 企家有道网络技术(北京)有限公司 | Enterprise diagnosis, prediction technique and device, server based on artificial intelligence |
| CN110458425A (en) * | 2019-07-25 | 2019-11-15 | 腾讯科技（深圳）有限公司 | Risk analysis method, device, readable medium and the electronic equipment of risk subject |
| CN110390488A (en) * | 2019-07-26 | 2019-10-29 | 浪潮软件股份有限公司 | A kind of credit risk enterprise characteristic recognition methods based on K- means clustering algorithm |
| CN111861255A (en) * | 2020-07-30 | 2020-10-30 | 北京金堤征信服务有限公司 | Enterprise risk monitoring method and device, storage medium and electronic equipment |
| CN112101757A (en) * | 2020-09-03 | 2020-12-18 | 湖北文理学院 | Deep foundation pit construction safety risk assessment method and system |
| CN112215288A (en) * | 2020-10-13 | 2021-01-12 | 中国光大银行股份有限公司 | Target enterprise category determination method and device, storage medium and electronic device |
| CN112215288B (en) * | 2020-10-13 | 2024-04-30 | 中国光大银行股份有限公司 | Method and device for determining category of target enterprise, storage medium and electronic device |
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Application publication date: 20170503 |