CN106161824B - Method and device for determining liveness of communication number - Google Patents
Method and device for determining liveness of communication number Download PDFInfo
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- CN106161824B CN106161824B CN201510127972.1A CN201510127972A CN106161824B CN 106161824 B CN106161824 B CN 106161824B CN 201510127972 A CN201510127972 A CN 201510127972A CN 106161824 B CN106161824 B CN 106161824B
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Abstract
The application discloses a method and a device for determining the liveness of a communication number, which are used for improving the accuracy of determining the liveness of the communication number. The method acquires the associated information of the communication number, wherein the associated information comprises the following steps: determining at least one classification activity according to the attribute of the communication number, account information bound with the communication number and contact person information of the communication number, and determining the comprehensive activity of the communication number according to each determined classification activity and a preset weight value of each classification activity. Because the classification liveness is determined according to the attribute of the communication number, the account information bound by the communication number and the associated information of the contact information of the communication number, but not determined through the communication number, the accuracy of the determined classification liveness can be effectively improved, and the accuracy of the determined comprehensive liveness can be effectively improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for determining liveness of a communication number.
Background
The communication number refers to a string of digital numbers of data cards used for communication, such as a mobile phone card and a network card, for example, the most common communication number is a mobile phone number.
The communication number as an intangible resource has certain attributes, and the attributes of the communication number can comprise self attributes and associated attributes. The self attribute is often an attribute closely related to the communication number itself, and the associated attribute is often some attribute related to a communication number owner, a terminal Application (App), or the like.
At present, with the continuous development of mobile networks, mobile devices and App technologies, a communication number is not only a medium capable of calling, but also has become more and more active as an account number of various apps. Therefore, it has become a trend to determine the liveness of a communication number by its own attributes or associated attributes.
However, in the prior art, the activity of the communication number is often determined by the own attribute of the communication number, for example, the more lucky a certain mobile phone number is, the higher the attention of the certain mobile phone number is, and thus the activity of the certain mobile phone number is, obviously, the less accurate the activity of the certain mobile phone number is determined by the lucky degree of the certain mobile phone number.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining the liveness of a communication number, which are used for improving the accuracy of determining the liveness of the communication number.
The method for determining the liveness of the communication number provided by the embodiment of the application comprises the following steps:
acquiring the associated information of the communication number, wherein the associated information comprises: at least one of the attribute of the communication number, the account information bound with the communication number and the contact information of the communication number;
determining at least one classification liveness according to the association information;
and determining the comprehensive activity of the communication number according to the determined classification activity and the preset weight value of each classification activity.
The communication number liveness determination device that this application embodiment provided includes:
the obtaining module is used for obtaining the associated information of the communication number, wherein the associated information comprises: at least one of the attribute of the communication number, the account information bound with the communication number and the contact information of the communication number;
a first determining module, configured to determine at least one classification liveness according to the association information;
and the second determining module is used for determining the comprehensive activity of the communication number according to the determined classification activity and the preset weight value of each classification activity.
The embodiment of the application provides a method and a device for determining the liveness of a communication number, wherein the method acquires the associated information of the communication number, and the associated information comprises the following steps: determining at least one classification activity according to the attribute of the communication number, account information bound with the communication number and contact person information of the communication number, and determining the comprehensive activity of the communication number according to each determined classification activity and a preset weight value of each classification activity. Because the classification liveness is determined according to the attribute of the communication number, the account information bound by the communication number and the associated information of the contact information of the communication number, but not determined through the communication number, the accuracy of the determined classification liveness can be effectively improved, and the accuracy of the determined comprehensive liveness can be effectively improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flow chart of a method for determining liveness of a communication number according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a device for determining liveness of a communication number according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a method for determining the liveness of a communication number according to an embodiment of the present application, which specifically includes the following steps:
s101: and acquiring the associated information of the communication number.
In this embodiment, the communication number may be a string of numbers of data cards for communication, such as a mobile phone card and a network card, and specifically, the communication number may be a mobile phone number corresponding to the mobile phone card, a user number corresponding to the network card, and the like.
The associated information described in the embodiment of the present application refers to information associated with a communication number, and not the communication number itself (e.g., a mobile phone number composed of 11 digits).
Specifically, the associated information of the communication number at least includes: attribute information related to the function of the communication number, for example, call log information of a communication number owner (i.e., a communication number user), call contact information, a call integral value, a communication number use duration (i.e., a purchase duration of a data card, or a call network access duration), and the like, related to the communication function.
The related information of the communication number can also comprise: the account information bound to the communication number may be, for example, financial-type account information such as bank account information, point account information, and recharge account information bound to the communication number, and/or non-financial-type account information such as security account information and insurance account information bound to the communication number; the credit account information may be credit account information of a shopping card or a beauty card, or electronic credit account information.
The related information of the communication number can also comprise: the contact information of the communication number; the contact information of the communication number may include communication contact information, or may include contact information in accounts such as a social account, a payment account, and a game account, which are successfully registered through the communication number.
In this embodiment of the application, when acquiring the association information of the communication number, at least one of the attribute information of the communication number, the account information bound to the communication number, and the contact information of the communication number may be acquired.
S102: determining at least one classification liveness according to the association information.
The classification liveness refers to the liveness of the communication number in a certain dimension, for example, the liveness of the communication number in the dimension of the attribute of the communication number, the liveness of the dimension of the account information bound to the communication number, the liveness of the dimension of the contact information of the communication number, and the like.
The classification activeness of the communication number can truly reflect the activeness of the communication number owner in using the communication number, thereby truly reflecting the activeness of the social practice of the communication number owner. Generally, the higher the activity of social practices of a communication number owner, the greater the social impact (positive or negative) of the communication number owner, and thus the greater the value of the communication number in some application scenarios. For example, the higher the activity of a communication number in the field of crime, the more negative the communication number owner or user is likely to have on the society, the higher the value of the communication number to the public security agency, and conversely, the lower the activity, the lower the value. For another example, the higher the activity of legal practice activities of a certain communication number in the non-criminal activity field (e.g., the commercial activity field), the higher the value of the communication number as a collateral, and conversely, the lower the activity, the lower the value.
In the embodiment of the application, the classification liveness can be determined according to the acquired associated information.
For example, if the call record information (i.e., the attribute of the communication number) during the mobile phone number criminal activity is obtained through step S101, one or more (including two) classification liveness degrees may be determined according to the call record information, wherein the classification liveness degree is proportional to the value of the call record information.
In the above example, it is specifically assumed that the call record information of the mobile phone number may include: and determining classification activity D through the following formula (1-1) by setting the frequency of the mobile phone number to draft, the number of the geographical location types involved in the draft, the content types of the draft and the like in a time period.
D＝α1X1+α2X2+α3X3 (1-1)
In the formula (1-1), X1 is the number of times of the crime, X2 is the number of geographical location categories, X3 is the category of the content of the crime, α1、α2And α3The number of times of the crime is X1, the number of geographical location categories is X2, and the weight value of the crime content category is X3.
In the embodiment of the present application, the weighting value α1、α2And α3Can be communicated respectivelyDetermining the influence degree of the over-crime times X1, the geographical position variety number X2 and the crime content category X3 on the classification activity, wherein the sum of all weighted values is 1, specifically, all weighted values α1、α2And α3The weight value may be calculated by a certain model, for example, an Analytic Hierarchy Process (AHP), and of course, each weight value may also be determined by an empirical value, which is not limited herein.
In the above example, one classification activity D is determined by the number of times of the crime X1, the number of geographical location types X2, and the crime content type X3, but of course, three classification activities D1, D2, and D3 may be determined by three factors, i.e., the number of times of the crime X1, the number of geographical location types X2, and the type of the crime content X3, where D1 is λ1X1、D2＝λ2X2、D3＝λ3X3, and λ1Is the weight value of X1 in classification activity D1, lambda2Is the weight value of X2 in classification activity D2, lambda3The weight value of X3 in classification activity D3, the determination method of the weight value and the weight value α1、α2And α3The determination method is similar and will not be described herein.
S103: and determining the comprehensive activity of the communication number according to the determined classification activity and the preset weight value of each classification activity.
The comprehensive liveness refers to the liveness of the communication number in each dimension, for example, the comprehensive liveness may refer to the liveness of each dimension, such as the attribute of the communication number, the account information bound to the communication number, and the contact information of the communication number.
When one or more classification liveness is determined through step S102, determining a comprehensive liveness according to the classification liveness and a preset weight value of the classification liveness may be determined through the following formula (1-2).
D’＝Σn i＝1μiDi (1-2)
In the formula (1-2), n is the number of each classification activity, Di is the ith classification activity, and muiIs Di in the comprehensive activity DThe weight value of (2).
For example, assume that the classification activity D is determined α by step S1021X1+α2X2+α3X3, then the comprehensive activity D' ═ mu1D。
For another example, it is assumed that the classification activity D1 ═ λ is determined in step S1021X1、D2＝λ2X2、D3＝λ3X3, then the comprehensive activity D' ═ mu1D1+μ2D2+μ3D3。
Wherein the weight value mu of the classification activity1、μ2、μ3And the above-mentioned weight value α1、α2And α3The determination method is similar and will not be described herein.
In the method shown in fig. 1, the attribute of the communication number, the account information bound to the communication number, the contact information of the communication number, and other related information of the communication number are obtained, and the classification liveness is determined according to the related information, instead of determining the classification liveness through the communication number itself, so that the accuracy of the determined classification liveness can be effectively improved.
In an actual application scenario, the accuracy of the liveness of the communication number may reflect the value of the communication number, and generally, the higher the liveness of the communication number is, the higher the value of the communication number is, whereas the lower the liveness of the communication number is, the lower the value of the communication number is, so that the accuracy of determining the value of the communication number may be effectively improved by the method shown in fig. 1.
In the method shown in fig. 1, the activity of determining the communication number is described by taking the activity of the communication number in the field of criminal activities as an example, and the process of determining the activity of the communication number will be described by taking the activity of the communication number in the field of non-criminal activities as an example.
In consideration of the practical application scenario, the higher the call integral value of the communication number and/or the longer the service life of a certain communication number, the more social activities of the user of the communication number are indicated, so that the higher the liveness of the communication number is, and the higher the value of the communication number is. Of course, the longer the communication number is used, the higher the call integral value is, the more redeemable items such as gifts, telephone fees and the like can be redeemed by the integral value, and the higher the value is.
Therefore, in the embodiment of the present application, the classification liveness can be determined at least by the call integral value and/or the usage time length.
The acquiring the attribute of the communication number specifically includes: and acquiring the call integral value and/or the use time of the communication number.
Determining the classification liveness according to the acquired call integral value and/or the use duration, which may specifically include:
and determining a classification activity according to the call integral value and the use time length, wherein the classification activity is respectively in direct proportion to the call integral value and the use time length.
For example, assuming that the call integration value of a certain mobile phone number is Z1 and the usage duration is Z2 (for example, m years of usage), the classification activity can be determined by the formula (1-3) as the first classification activity D1.
D1＝υ1Z1+υ2Z2 (1-3)
In the formula (1-3), Z1 is the value of the talk integral, Z2 is the length of time used, upsilon1And upsilon2Respectively, the call integral value Z1 and the weight value of the use duration Z2 in the first classification activity D1, upsilon1And upsilon2Determination method and weight value α1、α2And α3The determination method is similar and will not be described herein.
In an actual application scenario, the more the number of the payment account numbers bound to the communication number is, the longer the binding time is, the more the social activities of the user of the communication number are, the higher the liveness of the communication number is, and thus the higher the value of the communication number is.
Therefore, in the embodiment of the application, the classification activity can be determined by the number of the payment class accounts and/or the binding duration.
Acquiring account information bound with the communication number, which may specifically include:
acquiring at least one of the number of payment account numbers bound with the communication number and the binding duration;
determining classification liveness according to the acquired account information, specifically comprising:
determining classification activity according to the number of the payment account numbers and the binding duration; the classification liveness is respectively in direct proportion to the number of the payment account and the binding duration.
For example, if 3 bank cards are bound by the mobile phone number 1, the binding time is 5 years, 1 bank card is bound by the mobile phone number 2, and the binding time is 0.5 year, it can be said that the classification activity of the mobile phone number 1 is higher than that of the mobile phone number 2. Specifically, the classification activity may be determined by formula (1-4) as the second classification activity D2.
D2＝ρ1L1+ρ2L2 (1-4)
In the formula (1-4), L1 is the number of payment account, L2 is the binding duration of the payment account, ρ1And ρ2Respectively the number of the payment account numbers and the weight value of the binding duration in the second classification activity D2, wherein the rho is1And ρ2Determination method and weight value α1、α2And α3The determination method is similar and will not be described herein.
Further, in a practical application scenario, the contact information of the communication number is more abundant (for example, the types of the contact information are more), which indicates that the social activities of the user of the communication number are more, the liveness of the communication number is higher, and thus the value of the communication number is higher.
Therefore, in the embodiment of the application, the classification liveness can be determined through the contact information of the communication number.
Then, the obtaining of the contact information of the communication number may specifically include:
acquiring contact information in a social account and/or a payment account bound to a communication number, wherein the contact information comprises: at least one of the number of contacts, the credit rating of the contacts, the number of contact categories, the number of contacts in a specified category, and the frequency of interaction between the communication number owner and the contacts.
Determining classification liveness according to the acquired contact information, which specifically comprises the following steps:
determining the classification liveness according to the number of the contacts, the credit rating of the contacts, the number of the contact types, the number of the contacts in the appointed type and the interaction frequency; and the classification activity is respectively in direct proportion to the number of the contacts, the credit rating of the contacts, the number of the contact categories, the number of the contacts in the specified categories and the interaction frequency.
The number of contacts refers to the number of all contacts in the bound social account, and may include, for example, the total number of contacts in a white list and a black list of the address book.
The credit rating of the contact person may be a credit rating of the contact person using a financial account, and the credit rating may be obtained by a person credit investigation or a third-party credit rating mechanism.
The contact categories may include: family, relative, classmate, colleague, friend, client, etc., then the contact category may be the sum of the contact categories in the social account.
Considering that, in general, contact with a contact of the type of a client, a friend, a classmate, etc. may result in some business transaction to reflect the value of the communication number better than contact with a family or a relative, the contact of the specified category may be at least one of the types of a client, a friend, a classmate, etc. The higher the interaction frequency with the contact persons in the designated category is, the higher the activity of the communication number is, and conversely, the lower the interaction frequency is, the lower the activity of the communication number is. The interaction can be the interaction activities of payment, account transfer, collection, red packet receiving and sending, shopping, game recharging and the like with the contact persons of the specified category in the social account.
In the embodiment of the application, the classification activity is determined according to the number of the contacts, the credit rating of the contacts, the number of the contact categories, the number of the contacts in the designated category and the interaction frequency, and the determined classification activity is specifically determined by a formula (1-5) and is used as a third classification activity D3.
D3＝Σn’ i＝1ωiMi (1-5)
In the formula (1-5), n' is the number of types of contact information, Mi is the ith contact information, and ω isiA weight value in the third classification activity D3 for the ith contact information.
For example, assume that a social account is bound to a communication number, and four pieces of contact information, i.e., the number of contacts M1, the credit rating M2 of the contacts, the number of contact categories M3, and the number of contacts in a specified category M4 of the social account, are acquired.
The third classification activity D3 ═ ω according to equation (1-5) is determined1M1+ω2M2+ω3M3+ω4M4。
In this embodiment of the present application, determining the classification liveness according to the contact information may further be determined by the following method, which specifically includes:
determining a contact with the credit level higher than a preset threshold value from all contacts as a credit contact according to the credit level of the contact;
calculating the product value of the credit level of each credit contact, the interaction frequency of the contact and the communication number owner and the weight value of the category to which the contact belongs aiming at each credit contact;
and summing the product values corresponding to the credit contacts, wherein the obtained sum value is the determined classification activity, and the classification activity is used as a fourth classification activity.
For example, suppose that contacts 1-5 are included in the social account number bound by the communication number. In the five contacts, the credit rating S of the contacts 1-3 is respectively as follows: the first grade, the first grade and the second grade, and the credit grades of the contacts 4-5 are all fourth grades, and a preset threshold value of the credit grade is assumed to be a third grade.
Determining the classification liveness specifically as follows:
determining contacts 1-3 with credit levels higher than a third level (a preset threshold value) from the contacts as credit contacts according to the credit levels of the contacts 1-5;
calculating the product value V1 of the credit rating S1 of the credit contact 1, the interaction frequency K1 of the contact 1 and the communication number owner and the weight value W1 of the contact category for the credit contact 1, namely V1 is S1K1W1(ii) a Similarly, for credit contact 2 and credit contact 3, the product value V2 of the credit level, the interaction frequency and the weight value corresponding to each contact is S2K2W2，V3＝S3K3W3。
And summing the product values corresponding to the credit contacts to obtain a sum value V which is V1+ V2+ V3, and determining the classification activity.
It should be noted that the acquiring of the contact information is not limited to acquiring contact information in a social account and a payment account, and may also acquire communication contact information, game account contact information, contact information in other accounts, or the like.
After the first to fourth classification liveness degrees are determined, the comprehensive liveness degree can be determined through at least one of the four classification liveness degrees.
Specifically, the comprehensive activity level may be determined according to the formula (1-2), the weight value of each classification activity level may be determined according to the degree of influence of the classification activity level on the comprehensive activity level, specifically, each weight value may be calculated by an AHP model, or may be determined by an empirical value, which is not specifically limited herein.
Preferably, the comprehensive activity can be determined according to the determined four classification activities, and details are not repeated here.
In a practical application scenario, the higher the liveness of the communication number is, the higher the social value of the communication number is, and the greater the risk that the communication number is illegally operated.
Therefore, in this embodiment of the present application, after determining the liveness of the communication number, the method further includes:
and carrying out risk control on the communication number according to the liveness of the communication number.
Specifically, a plurality of activity levels can be preset, and a risk control strategy is set for the communication number corresponding to each activity level;
according to the method for determining the activity level, after the activity level of the communication number is determined, the activity level matched with the activity level of the current communication number is determined from all preset activity levels according to the activity level, and the risk control is carried out on the communication number according to the risk control strategy corresponding to the determined activity level.
For example, three activity levels are preset, and the activity of the communication numbers corresponding to the first activity level, the second activity level and the third activity level are decreased sequentially;
setting a first risk control strategy for the communication number corresponding to the first activity level, where the risk control strategy may specifically be: and as long as the communication number is used in a different place, risk prompt information is sent to the communication number.
Setting a second risk control strategy for the communication number corresponding to the second activity level, where the risk control strategy may specifically be: and sending risk prompt information to the communication number as long as the communication number is used in the designated different place, and not sending the risk prompt information to the communication number when the communication number is used in other different places.
Setting a third risk control strategy for the communication number corresponding to the third activity level, where the risk control strategy may specifically be: no risk alert is sent to the communication number.
It should be noted that, after determining the activity of the communication number, the embodiment of the present application may determine the value of the communication number according to the activity, specifically, may determine the alternative cost of the communication number according to the activity of the communication number, and may determine the value of the communication number according to the alternative cost of the communication number.
Of course, in determining the value of the communication number, it is not limited to only the determination based on the liveness, and for example, the total value of the communication number may be determined based on the value of the communication number itself (e.g., the value of the lucky number is higher than the value of the normal number), the value of the item for which the credit value of the communication number is redeemable, and the value of the liveness of the communication number. After the total value of the communication number is determined, the communication number can be used as a collateral mortgage or equivalent exchange, and is not limited in particular.
Based on the same idea, the method for determining the liveness of the communication number provided by the embodiment of the present application further provides a device for determining the liveness of the communication number, as shown in fig. 2.
Fig. 2 is a communication number liveness determination device according to an embodiment of the present application, which specifically includes:
the obtaining module 21 is configured to obtain associated information of the communication number, where the associated information includes: at least one of the attribute of the communication number, the account information bound with the communication number and the contact information of the communication number;
a first determining module 22, configured to determine at least one classification activity according to the association information;
and the second determining module 23 is configured to determine the comprehensive activity of the communication number according to the determined classification activities and the preset weight value of each classification activity.
Optionally, the obtaining module 21 is specifically configured to: acquiring at least one of a conversation integral value and a use duration of a communication number;
the first determining module 22 is specifically configured to: and determining the classification liveness according to the call integral value and the use time length, wherein the classification liveness is respectively in direct proportion to the call integral value and the use time length.
Optionally, the obtaining module 21 is specifically configured to: acquiring at least one of the number of payment account numbers bound with the communication number and the binding duration;
the first determining module 22 is specifically configured to: determining the classification liveness according to the number and the binding duration of the payment account; and the classification liveness is respectively in direct proportion to the number of the payment account numbers and the binding duration.
Optionally, the obtaining module 21 is specifically configured to: acquiring contact person information in the social account and/or the payment account bound to the communication number, wherein the contact person information comprises: at least one of the number of the contact persons, the credit rating of the contact persons, the number of the contact person types, the number of the contact persons in the appointed type and the interaction frequency between the communication number owner and the contact persons;
the first determining module 22 is specifically configured to: determining the classification liveness according to the number of the contacts, the credit rating of the contacts, the number of the contact types, the number of the contacts in the appointed type and the interaction frequency; and the classification activity is respectively in direct proportion to the number of the contacts, the credit rating of the contacts, the number of the contact categories, the number of the contacts in the specified categories and the interaction frequency.
Optionally, the first determining module 22 is specifically configured to: determining a contact with the credit level higher than a preset threshold value from the contacts as a credit contact according to the credit level of the contact; calculating the product value of the credit level of each credit contact, the interaction frequency of the contact and a communication number owner and the weight value of the category to which the contact belongs aiming at each credit contact; and summing the product values corresponding to the credit contacts, wherein the obtained sum value is the classification activity.
Optionally, the apparatus further comprises: and the risk control module is used for carrying out risk control on the communication number according to the liveness of the communication number after determining the liveness of the communication number.
Optionally, the risk control module is specifically configured to: a plurality of activity levels can be preset, and a risk control strategy is set for the communication number corresponding to each activity level; after the activity of the communication number is determined, according to the activity, an activity level matched with the activity of the current communication number is determined from all preset activity levels, and risk control is carried out on the communication number according to a risk control strategy corresponding to the determined activity level.
According to the method and the device for determining the liveness of the communication number, the attribute of the communication number, the account information bound with the communication number, the contact information of the communication number and other relevant information of the communication number are obtained, the classification liveness is determined according to the relevant information, the classification liveness is not determined through the communication number, the accuracy of the determined classification liveness can be effectively improved, correspondingly, the comprehensive liveness of the communication number is determined according to the determined classification liveness and the preset weight value of each classification liveness, and the comprehensive liveness of the communication number (namely, the liveness of the communication number) can be effectively improved.
In an actual application scenario, the accuracy of the liveness of the communication number may reflect the value of the communication number, and generally, the higher the liveness of the communication number is, the higher the value of the communication number is, whereas the lower the liveness of the communication number is, the lower the value of the communication number is, so that the accuracy of determining the value of the communication number may be effectively improved by the method shown in fig. 1.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (8)
1. A method for determining the liveness of a communication number, comprising:
acquiring the associated information of the communication number, wherein the associated information comprises: the attribute of the communication number, the account information bound by the communication number and the contact information of the communication number;
determining at least one classification activity according to the association information, wherein the classification activity is used for representing the activity degree of the owner of the communication number using the communication number;
determining the comprehensive activity of the communication number according to the determined classification activities and the preset weight value of each classification activity;
the acquiring of the contact information of the communication number specifically includes:
acquiring contact person information in the social account and/or the payment account bound to the communication number, wherein the contact person information comprises: at least one of the number of the contact persons, the credit rating of the contact persons, the number of the contact person types, the number of the contact persons in the appointed type and the interaction frequency between the communication number owner and the contact persons;
determining the classification liveness specifically comprises:
determining the classification liveness according to the number of the contacts, the credit rating of the contacts, the number of the contact types, the number of the contacts in the appointed type and the interaction frequency; and the classification activity is respectively in direct proportion to the number of the contacts, the credit rating of the contacts, the number of the contact categories, the number of the contacts in the specified categories and the interaction frequency.
2. The method of claim 1, wherein obtaining attributes of the communication number specifically comprises:
acquiring at least one of a conversation integral value and a use duration of a communication number;
determining the classification liveness specifically comprises:
and determining the classification liveness according to the call integral value and the use time length, wherein the classification liveness is respectively in direct proportion to the call integral value and the use time length.
3. The method of claim 1, wherein the obtaining account information bound to the communication number specifically comprises:
acquiring at least one of the number of payment account numbers bound with the communication number and the binding duration;
determining the classification liveness specifically comprises:
determining the classification liveness according to the number and the binding duration of the payment account; and the classification liveness is respectively in direct proportion to the number of the payment account numbers and the binding duration.
4. The method of claim 1, wherein determining the classification liveness specifically comprises:
determining a contact with the credit level higher than a preset threshold value from the contacts as a credit contact according to the credit level of the contact;
calculating the product value of the credit level of each credit contact, the interaction frequency of the contact and a communication number owner and the weight value of the category to which the contact belongs aiming at each credit contact;
and summing the product values corresponding to the credit contacts, wherein the obtained sum value is the classification activity.
5. A communication number liveness determination device, comprising:
the obtaining module is used for obtaining the associated information of the communication number, wherein the associated information comprises: the attribute of the communication number, the account information bound by the communication number and the contact information of the communication number;
the first determination module is used for determining at least one classification liveness according to the association information, and the classification liveness is used for representing the activity degree of the communication number used by the owner of the communication number;
the second determining module is used for determining the comprehensive activity of the communication number according to the determined classification activities and the preset weight value of each classification activity;
the acquisition module is specifically configured to: acquiring contact person information in the social account and/or the payment account bound to the communication number, wherein the contact person information comprises: at least one of the number of the contact persons, the credit rating of the contact persons, the number of the contact person types, the number of the contact persons in the appointed type and the interaction frequency between the communication number owner and the contact persons;
the first determining module is specifically configured to: determining the classification liveness according to the number of the contacts, the credit rating of the contacts, the number of the contact types, the number of the contacts in the appointed type and the interaction frequency; and the classification activity is respectively in direct proportion to the number of the contacts, the credit rating of the contacts, the number of the contact categories, the number of the contacts in the specified categories and the interaction frequency.
6. The apparatus of claim 5, wherein the acquisition module is specifically configured to: acquiring at least one of a conversation integral value and a use duration of a communication number;
the first determining module is specifically configured to: and determining the classification liveness according to the call integral value and the use time length, wherein the classification liveness is respectively in direct proportion to the call integral value and the use time length.
7. The apparatus of claim 5, wherein the acquisition module is specifically configured to: acquiring at least one of the number of payment account numbers bound with the communication number and the binding duration;
the first determining module is specifically configured to: determining the classification liveness according to the number and the binding duration of the payment account; and the classification liveness is respectively in direct proportion to the number of the payment account numbers and the binding duration.
8. The apparatus of claim 5, wherein the first determining module is specifically configured to: determining a contact with the credit level higher than a preset threshold value from the contacts as a credit contact according to the credit level of the contact; calculating the product value of the credit level of each credit contact, the interaction frequency of the contact and a communication number owner and the weight value of the category to which the contact belongs aiming at each credit contact; and summing the product values corresponding to the credit contacts, wherein the obtained sum value is the classification activity.
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| CN108848275A (en) * | 2018-06-13 | 2018-11-20 | 佛山市澄澜点寸科技有限公司 | A kind of information processing method and device |
| CN110557466A (en) * | 2019-09-11 | 2019-12-10 | 北京明略软件系统有限公司 | data processing method and device, electronic equipment and storage medium |
| CN112215386A (en) * | 2020-05-11 | 2021-01-12 | 北京明略软件系统有限公司 | Personnel activity prediction method and device and computer readable storage medium |
| CN112085323A (en) * | 2020-07-30 | 2020-12-15 | 北京明略软件系统有限公司 | Association reliability evaluation method and device based on activity index |
| CN112261654B (en) * | 2020-09-23 | 2021-08-03 | 中国地质大学（武汉） | Method and system for generating mobile phone number white list in telecommunication anti-fraud process |
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