CN110087228A - A kind of determination method and device of service package - Google Patents
A kind of determination method and device of service package Download PDFInfo
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- CN110087228A CN110087228A CN201910408090.0A CN201910408090A CN110087228A CN 110087228 A CN110087228 A CN 110087228A CN 201910408090 A CN201910408090 A CN 201910408090A CN 110087228 A CN110087228 A CN 110087228A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
- H04W8/183—Processing at user equipment or user record carrier
Abstract
This application discloses a kind of determination method and devices of service package, are related to field of communication technology, for accurately determining the service package for meeting user demand.Comprise determining that the business information of the current business set meal of first terminal；The business information includes the communication information and flow information, and the communication information includes communication time and/or number of communications；Determine the internet information of the first terminal；The internet information include in multiple flow classs of service and the multiple flow class of service the corresponding flow of each flow class of service use data；At least one target service set meal is determined from multiple pre-set business set meals according to the user information of the first terminal, the internet information and the business information；Wherein, the multiple pre-set business set meal is to be determined according to the business information after multiple second terminal service package business information before changing and/or service package change.
Description
Technical field
The invention relates to the determination method and devices of field of communication technology more particularly to a kind of service package.
Background technique
Currently, the service package that common carrier provides includes: that flow, the duration of call or short message use item number.In order to make
User can to enjoy business handling preferential.Flow, the duration of call and short message can be used the business such as item number by common carrier
Combined sale (referred to as are as follows: service package sale).Therefore service package sale is nowadays important sales mode.It is main at present
The service package marketing method wanted includes: specified services set meal (given service package content), free service package, wherein from
It is the service package that user can arbitrarily select multiple business to be combined by service package.
For free service package, user can realize to a certain extent according to self-demand matched combined service package
The individual business set meal of user selects.For specified services set meal, user can a key select service package, realize service package
Easy selection.But there are following three points defects for existing business set meal: (1) collocation of specified services set meal is formulated and different use
The collocation demand of family group is uncorrelated；(2) the gear formulation of flow in free service package, the duration of call, short message item number lacks
Reference frame, there is any discrepancy for the actual demand with user group；(3) selection of free service package need to take a significant amount of time.Therefore,
How accurately to determine that the service package for meeting user demand becomes urgent problem to be solved.
Summary of the invention
Embodiments herein provides a kind of determination method and device of service package, meets user for accurately determination
The service package of demand.
In order to achieve the above objectives, embodiments herein adopts the following technical scheme that
In a first aspect, a kind of determination method of service package is provided, this method comprises:
Determine the business information of the current business set meal of first terminal；Business information includes the communication information and flow information,
The communication information includes communication time and/or number of communications；
Determine the internet information of first terminal；Internet information includes multiple flow classs of service and multiple flow classs of service
In the corresponding flow of each flow class of service use data；
It is determined at least from multiple pre-set business set meals according to the user information of first terminal, internet information and business information
One target service set meal；Wherein, multiple pre-set business set meals are the business according to multiple second terminal service package before changing
Business information after information and/or service package change determines.
The determination method of service package provided by the embodiments of the present application can be with by determining the internet information of first terminal
Obtain user's online preference of first terminal；Pass through the available user's base using first terminal of the user information of first terminal
Eigen；In conjunction with first terminal user surf the Internet preference, user's essential characteristic and current business package information can be from multiple
The target service set meal for meeting user demand is accurately determined in pre-set business set meal.
Second aspect provides a kind of determining device of service package, which can be server, or application
In the chip of server, the apparatus may include determination units；
Determination unit, the business information of the current business set meal for determining first terminal；Business information includes communication letter
Breath and flow information, the communication information include communication time and/or number of communications；
Determination unit is also used to determine the internet information of first terminal；Internet information include multiple flow classs of service and
The corresponding flow of each flow class of service uses data in multiple flow classs of service；
Determination unit is also used to according to the user information of first terminal, internet information and business information from multiple default industry
It is engaged in determining at least one target service set meal in set meal；Wherein, multiple pre-set business set meals are according to multiple second terminal business
Business information after the business information and/or service package change of set meal before changing determines.
The third aspect provides a kind of readable storage medium storing program for executing, instruction is stored in readable storage medium storing program for executing, when instruction is performed
When, realize the method such as first aspect.
Fourth aspect provides a kind of computer program product, and computer program product includes at least one instruction, when extremely
When a few instruction is run on computers, so that computer executes the method such as first aspect.
5th aspect, provides a kind of chip, and chip includes at least one processor and communication interface, communication interface and at least
One processor coupling, at least one processor is for running computer program or instruction, the method to realize first aspect.
The device or computer storage medium or computer program product or chip of above-mentioned offer are used to execute institute above
The corresponding method provided, therefore, the attainable beneficial effect of institute can refer to counterparty in corresponding method provided above
The beneficial effect of case, details are not described herein again.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram for communication system that embodiments herein provides；
Fig. 2 is a kind of determination method flow schematic diagram one for service package that embodiments herein provides；
Fig. 3 is a kind of determination method flow schematic diagram two for service package that embodiments herein provides；
Fig. 4 is a kind of visual presentation schematic diagram that embodiments herein provides；
Fig. 5 is a kind of determination method flow schematic diagram three for service package that embodiments herein provides；
Fig. 6 is that a kind of multiple second terminal service package that embodiments herein provides are changed with service package before changing
The probability density function profiles schematic diagram of flow afterwards；
Fig. 7 is that a kind of multiple second terminal service package that embodiments herein provides are changed with service package before changing
The probability density function profiles schematic diagram of the duration of call afterwards；
Fig. 8 is a kind of determination method flow schematic diagram four for service package that embodiments herein provides；
Fig. 9 is the accumulation of data on flows after a kind of multiple second terminal service package changes that embodiments herein provides
Distribution schematic diagram；
Figure 10 is the tired of the duration of call after a kind of multiple second terminal service package that embodiments herein provides change
Product distribution schematic diagram；
Figure 11 is a kind of determination apparatus structure schematic diagram one for service package that embodiments herein provides；
Figure 12 is a kind of determination apparatus structure schematic diagram two for service package that embodiments herein provides；
Figure 13 is a kind of apparatus structure schematic diagram for chip that embodiments herein provides.
Specific embodiment
For the ease of clearly describing the technical solution of the embodiment of the present application, in embodiments herein, use " the
One ", the printed words such as " second " distinguish function and the essentially identical identical entry of effect or similar item.For example, first terminal and
Second terminal is not defined its sequencing just for the sake of distinguishing different network elements.Those skilled in the art can be with
Understand that the printed words such as " first ", " second " are not defined quantity and execution order, and the printed words such as " first ", " second "
It does not limit certain different.
It should be noted that in the application, " illustrative " or " such as " etc. words make example, illustration for indicating or say
It is bright.Described herein as " illustrative " or " such as " any embodiment or design scheme be not necessarily to be construed as than it
His embodiment or design scheme more preferably or more advantage.Specifically, use " illustrative " or " such as " etc. words be intended to
Related notion is presented in specific ways.
In the application, "at least one" refers to one or more, and " multiple " refer to two or more."and/or",
The incidence relation of affiliated partner is described, indicates may exist three kinds of relationships, for example, A and/or B, can indicate: individualism A,
Exist simultaneously A and B, the case where individualism B, wherein A, B can be odd number or plural number.Character "/" typicallys represent front and back and closes
Connection object is a kind of relationship of "or".At least one of " following (a) " or its similar expression, refer to these in any group
It closes, any combination including individual event (a) or complex item (a).For example, at least one (a) in a, b or c, can indicate:
A, b, c, a-b, a-c, b-c or a-b-c, wherein a, b, c can be individually, be also possible to multiple.
As shown in Figure 1, Fig. 1 shows a kind of structural schematic diagram of communication system provided by the embodiments of the present application.The communication
System includes: one or more first terminals 10 and one or more is that first terminal 10 provides the server 20 of service.It answers
Understand, 1 first terminal, 10,1 servers 20 are shown in FIG. 1.
It should be noted that first terminal 10 can be by wired mode (for example, universal serial bus in Fig. 1
(universal serial bus, USB), Type-C) etc. modes communicated with server 20.Certainly, first terminal 10 can be with
Wirelessly communicated with server 20.For example, first terminal 10 is communicated by network with server 20, it is such as wireless to protect
Very (wireless fidelity, WiFi) etc..
It should be noted that server 20 can be the property server of common carrier, it can also be common carrier
Virtual server, such as Cloud Server.
Terminal in the embodiment of the present application can be the equipment for needing custom service set meal.For example, the terminal can be use
Family handheld communication devices, for example, mobile phone, tablet computer, wearable device etc..
It is specific to a kind of determination method progress of service package provided by the embodiments of the present application below in conjunction with Fig. 2 to Figure 10
It illustrates.
It should be pointed out that mutually can use for reference or refer between each embodiment of the application, for example, the same or similar step
Suddenly, between embodiment of the method and Installation practice, it can mutually refer to, not limit.
As shown in Fig. 2, Fig. 2 shows a kind of determination method of service package provided by the embodiments of the present application, this method
Executing subject can may be first terminal 10 itself for the executing subject of server 20 or this method as shown in Figure 1,
Following embodiments are described so that executing subject is server 20 as an example, and this method may include:
S101, determine first terminal current business set meal business information.Business information includes the communication information and flow
Information, the communication information include communication time and/or number of communications.
Illustratively, the first terminal in following embodiments can be first terminal 10 as shown in Figure 1.It needs to illustrate
It is that in the embodiment of the present application, first terminal is the terminal for needing to carry out service package change.
The service package of terminal can be the service package that common carrier provides under different network formats, such as forth generation
(4rd generation, 4G) service package.Business information in the service package of terminal may include the communication information, flow letter
Breath etc..Wherein, the communication information may include total communication time.Total communication time can be the total duration of voice communication.Communication time
Number can be short message item number, for example, the service package of terminal includes monthly 50 short messages.
Certainly, the service package of terminal can also include other business, such as Ring Back Tone service, such as ringing sound of cell phone etc., incoming call
Display etc..
In the embodiment of the present application, the available business information to first terminal current business set meal of server 20.Such as the
One terminal obtains the service package of first terminal by the online business hall of common carrier or the mobile phone business Room.
It is exemplary, it is multiple business set meal in table 1 as shown in table 1.
1 multiple business set meal of table
It should be noted that every a line respectively corresponds a kind of service package in table 1.Illustratively, the current industry of first terminal
The monthly rent of business set meal is 106 yuan, then the current business set meal of the first terminal includes: 300 minutes duration of calls, the flow of 1G
And 80 short messages.
It should be understood that user identity identification (the subscriber identity that server 20 can be bound according to first terminal
Module, SIM) card or the corresponding phone number information of e-SIM card, obtain first terminal 10 current business set meal business believe
Breath, for example, flow information, total duration of call, total short message item number etc. in current business set meal.
S102, the internet information for determining first terminal.Internet information includes multiple flow classs of service and multiple flow industry
The corresponding flow of each flow class of service uses data in classification of being engaged in.
In the embodiment of the present application, server 20 can also get the flow service condition of first terminal, by first
The flow service condition of terminal analyze the internet information of available first terminal, for example, internet information can be first
The type of webpage or software type of terminal access, and the duration of the webpage or software, flow are logged in using data etc..For example, the
The total duration that one terminal accesses A news website in one month is 20 hours, and the total flow used is 2G.
S103, according to the user information of first terminal, internet information and business information from multiple pre-set business set meals really
At least one fixed target service set meal.
Wherein, multiple pre-set business set meals be according to multiple second terminal service package business information before changing and/or
Business information after service package change determines.
Wherein, the user information of first terminal, may include one or more of the following contents: the age of user is used
The gender at family, the information such as occupation type of user.
When the executing subject of S101-S103 is first terminal, which can obtain multiple from server 20
Pre-set business set meal.
It should be understood that multiple pre-set business set meal can be the existing multiple service package of common carrier.Each business
Set meal may include one or more of the following contents: the corresponding total amount of service package, flow packet, the duration of call and short message
Item number etc..
It should be understood that second terminal is to have carried out the terminal of service package change.
Preferably, multiple second terminals can be the service package rate of preset quantity by low turn of high terminal.
The determination method of service package provided by the embodiments of the present application can be with by determining the internet information of first terminal
Obtain user's online preference of first terminal；Pass through the available user's base using first terminal of the user information of first terminal
Eigen；In conjunction with first terminal user surf the Internet preference, user's essential characteristic and current business package information can be from multiple
The target service set meal for meeting user demand is accurately determined in pre-set business set meal.
As a kind of possible implementation, as shown in figure 3, the S103 in the embodiment of the present application can be by following
S303-S305 is realized:
S303, the user information to first terminal, internet information and business information are handled, and obtain the more of first terminal
A numerical value.
Wherein, multiple numerical value of first terminal include first terminal at least one corresponding first numerical value of user information,
The communication information of at least one corresponding second value of the internet information of first terminal and first terminal it is corresponding at least one
Three numerical value.
The embodiment of the present application provides the processing side of the user information of a kind of pair of first terminal, internet information and business information
Method, the processing method can be for above- mentioned information progress Feature Engineerings.
It should be noted that server 20 can create multiple new void by carrying out Feature Engineering respectively to above- mentioned information
Quasi character, each virtual feature respectively represent the corresponding numerical value of an information.
Specifically, for the user information of terminal, such as gender, this discrete category feature of occupation, server 20 can be with
Feature Engineering is carried out using one-hot coding (one-hot encoding) technology.
A kind of example, the result after gender one-hot coding are 01,10.Occupation type (label value corresponds to 1,2,3,4,5,
6,7,8), the result after one-hot coding is 00000001,00000010,00000100,00001000,00010000,
00100000,01000000,10000000.
It should be noted that 1) one-hot coding is directed to discrete type feature.It specifically refers to come using N bit status register pair
N number of state is encoded, and each state has its independent register-bit, and when any, wherein only one effective.
2) one-hot coding is used, the value of discrete features can be extended to a hyperspace, such as theorem in Euclid space.Its
In, some value of discrete features corresponds to some point of theorem in Euclid space.It is special in the machine learning algorithms such as recurrence, classification, cluster
The calculating of distance or the calculating of similarity are very important between sign, and the calculating of common distance or similarity is all European
The similarity calculation or cosine similarity in space calculate.
3) discrete type feature is used into one-hot coding, the distance between discrete features can be allowed to calculate more reasonable.For example,
Job category includes three discrete type features, and the value of three discrete type features is distinguished: x1=1, x2=2, x3=3.When not making
When with one-hot coding, the distance between two work types works are respectively: D (x1, x2)=1, D (x2, x3)=1, D (x1, x3)=2.
It follows that x1And x3The distance between work the distance between combined with other it is inconsistent, therefore, the feature calculated
Apart from unreasonable.When using one-hot coding, then x is obtained1=(1,0,0), x2=(0,1,0), x3=(0,0,1).It follows that
The distance between any two work is all just (2) sqrt, i.e. the distance between every two work is the same, therefore, is calculated
The distance of feature out is reasonable.
Another example, data on flows, total duration of call for age information and terminal in the user information of terminal
And total short message uses item number equicontinuity feature, server 20 can be used normalization technology and carry out Feature Engineering.
For example, server 20 the corresponding multiple numerical linears of the above- mentioned information of terminal can be zoomed to [- 1,1] or [0,
1].For example, the age can pass through (X-Xmin)/(Xmax-Xmin) realize, X indicates the year in the user information of any terminal
Age, XminIndicate the minimum value at age in the user of multiple terminals, XmaxIndicate the maximum value at age in the user of multiple terminals.Stream
Amount can lead to (Y-Ymean)/(Ymax-Ymin) realize, Y indicates the minimum value of the flow of multiple terminals, YmeanIndicate multiple terminals
The average value of flow, YminIndicate the minimum value of the flow of multiple terminals, YmaxIndicate the maximum value of the flow of multiple terminals.Call
Duration passes through (Z-Zmean)/(Zmax-Zmin) realize, Z indicates the minimum value of the duration of call of multiple terminals, ZmeanIndicate multiple ends
The average value of the duration of call at end, ZmaxIndicate the minimum value of the duration of call in whole sample of users, ZminIndicate that whole samples are used
The maximum value of the duration of call in family.Short message item number can also be handled using the above method, and details are not described herein again.
It should be noted that normalization technology is directed to continuous type feature, in particular to converts different magnitude of feature
For the feature of same order, influenced to avoid numerical value is not at the same level to model bring.
S304, calculate first terminal multiple numerical value and multiple numerical value of each clustering cluster in multiple clustering clusters between phase
Like degree.
Wherein, multiple clustering clusters are determined according to clustering algorithm and multiple numerical value of multiple second terminals, each clustering cluster packet
Include at least one corresponding the 4th numerical value of user information of at least one second terminal, the internet information of at least one second terminal
At least one corresponding the 6th numerical value of the business information of at least one corresponding the 5th numerical value and at least one second terminal.
It should be understood that multiple numerical value of at least one second terminal can be by using upper in each clustering cluster in the application
The processing method for stating multiple numerical value of first terminal obtains.
The application implement in, server 20 user information, internet information and the business information to multiple second terminals into
After row Feature Engineering, available multiple sample set D=(x1, x2..., xm), wherein m is the integer greater than 1.x1、x2、xm
Respectively indicate a sample set.Each sample set may include age after standardization or one-hot coding, gender, occupation type,
Total flow, total duration of call, short message use the information such as item number.
As a kind of possible implementation, during the application is implemented, after obtaining above-mentioned multiple sample sets, server 20 can
To carry out K-Means clustering to multiple sample set.
It should be noted that K-Means is the clustering algorithm of an iterative solution, belong to division (Partitioning) type
Clustering method, i.e., create K division first, then iteratively sample divided from one and is transferred to another division and improves
The quality finally clustered.
Specifically, age and data traffic in user information of the server 20 by analyzing multiple second terminals
Then the service condition of service condition and the duration of call determines optimum cluster value as target to minimize average distortion degree.
Illustratively, in the embodiment of the present application, server 20 by analysis 536442 users age, April 4G number
According to flow service condition and duration of call service condition, it can determine that optimum cluster value is 6.
After determining optimum cluster value, server 20 can pass through principal component analysis (principal component
Analysis, PCA) dimensionality reduction method the data of above-mentioned hyperspace are down to bidimensional after cluster, and by cluster result into
Row visualizes.As shown in figure 4, Fig. 4 shows a kind of visual presentation schematic diagram.
It should be noted that the displaying schematic diagram after PCA dimensionality reduction shown in Fig. 4 is by seeking feature vector to covariance matrix
Afterwards, the two-dimensional visualization figure choosing feature vector corresponding to maximum two characteristic values and drawing, transverse and longitudinal coordinate have no
Specific physical significance, the numerical value meaning of acquired results only after initial data dimensionality reduction, the data set after dimensionality reduction being capable of maximum journey
Degree retains original information.
It should be noted that initial data can be transformed to one group of each dimension linear independence by linear transformation by PCA dimensionality reduction
Expression, can be used for extracting the main feature component of data.
Specifically, first, dimensionality reduction can alleviate dimension disaster problem.Second, dimensionality reduction can facilitate meter in compressed data
Information loss is allowed to minimize while calculating processing.Third understands that the data structure of several hundred a dimensions is highly difficult, will by visualization
The data structure of several hundred a dimensions is converted into the data structure of two or three of dimensions, easier to understand.
PCA dimension-reduction algorithm step can be with are as follows: is equipped with m n dimension data.
1), by initial data by column composition n row m column matrix X.
2) every a line of X (representing an attribute field), is subjected to zero averaging, that is, subtracts the mean value of this line.
3) covariance matrix, is found out.
4) characteristic value and corresponding feature vector of covariance matrix, are found out.
5) feature vector, is pressed into corresponding eigenvalue size from top to bottom by rows at matrix, k row forms matrix P before taking.
6), the data as after dimensionality reduction to k dimension.
As alternatively possible implementation, server 20 can be by DBSCAN clustering algorithm to above-mentioned multiple samples
Collection is clustered.
It should be noted that DBSCAN clustering algorithm is a kind of density-based algorithms, it be based on one group of neighborhood come
The tightness degree of sample set is described, parameter (∈, MinPts) is used to describe the sample distribution compactness densities of neighborhood.Wherein ∈ is described
The neighborhood distance threshold of a certain sample, MinPts describe the threshold for the field kind number of samples that the distance of a certain sample is ∈
Value.
It should be noted that DBSCAN clustering algorithm arbitrarily selects the kernel object of a not no classification as seed, then
Find this all kernel object can the reachable sample set of density, as a clustering cluster, then continue to select another
There is no the kernel object of classification to look for the reachable sample set of density, thus obtains a clustering cluster.Institute is run to always
Until thering is kernel object to have classification.
Specifically, steps are as follows for DBSCAN clustering algorithm:
One, it inputs: sample set D=(x1, x2..., xm), field parameter (∈, MinPts), sample distance metric mode.
Two, export: cluster divides C=(C1, C2..., CK).K is the integer greater than 1.
Specific implementation process are as follows: step 1, initialization kernel object collectionInitialization cluster number of clusters k=0, initially
Change the sample set Γ=D not accessed, cluster divides C=0.
Step 2, for j=1,2 ..., m, all kernel objects are found out by following step:
A, by distance metric mode, sample x is foundjThe field ∈ subsample collection N∈(xj)；
If b, collection number in subsample meets | N∈(xj) | >=MinPts, by sample xjKernel object sample set: Ω is added
=Ω ∪ { xj}。
If step 3, kernel object setThen algorithm terminates, and is otherwise transferred to step 4.
Step 4, in kernel object set omega, randomly choose a kernel object o, initialize current cluster kernel object team
Arrange Ωcur={ o } initializes classification sequence number k=k+1, initializes current cluster sample set Ck={ o } updates non-access-sample collection
It closes Γ=Γ-{ o }.
If step 5, current cluster kernel object queueThen current cluster is birdsed of the same feather flock together CkGeneration finishes, and updates cluster and draws
Divide C=(C1, C2..., CK), update kernel object set omega=Ω-Ck, it is transferred to step 3.
Step 6, in current cluster kernel object queue ΩcurOne kernel object o ' of middle taking-up, passes through field distance threshold
∈ finds out all field ∈ subsample collection N∈(o ') enables Δ=N∈(o ') ∩ Γ updates current cluster sample set Ck=Ck∪
Δ, update do not access set Γ=Γ-Δ, update Ωcur=Ωcur∪ (Δ ∩ Ω)-o ', is transferred to step 5.
Illustratively, it is analyzed in the embodiment of the present application according to above-mentioned multiple clustering clusters, it is available as shown in Table 2
Cluster result.
2 cluster result table of table
By table 2 it is found that server 20 can by clustering algorithm, the user information of multiple second terminals and business usage amount
Sample set is divided into six classes.First kind user accounting 0.161 belongs to the higher duration of call using user, can be this
Class user formulates the service package of the higher duration of call；Second class user accounting 0.038 belongs to the high duration of call and uses user,
The service package of the high duration of call can be formulated for this kind of users；Third class user accounting 0.116 belongs to high flow use
User can formulate the service package of high flow for this kind of users；4th class user accounting 0.038, belongs to ultra high flux
Using user, this certain customers' flow demand should be taken into account when formulating composite service set meal, provide suitable gear choosing for it
It selects；5th class user accounting 0.662 belongs to low discharge low pass words using user, can formulate low discharge for this kind of users
Service package；6th class user accounting 0.005 belongs to the superelevation duration of call using user, answers when formulating composite service set meal
In view of this certain customers call demand, suitable gear selection is provided for it.
It should be noted that each clustering cluster includes the age of user of at least one second terminal, property in the embodiment of the present application
Not, occupation type, total flow, total duration of call, short message use the corresponding multiple numerical value of multiple classifications such as item number.Wherein,
Age of user, total flow, total duration of call, short message are evenly distributed situation using what multiple numerical value of item number reflected clustering cluster.
Multiple numerical value corresponding to the occupation type of user reflect the occupation type distribution situation of cluster race.It is multiple corresponding to gender
Numerical value reflects the Sex distribution situation of cluster race.
It should be noted that the internet information of terminal reflects the online preference of the user of terminal binding.
A kind of example, the embodiment of the present application can be by expanding 18 kinds of uniform resource locator (uniform in wikipedia
Resource locator, URL) classification content, detailed analysis is done to the internet information of each clustering cluster, to obtain each
The online preference of clustering cluster, for example, the online preference of some clustering cluster is website or the software of video class.
Server 20 is after the internet information to first terminal quantifies, in conjunction with the user information and business of first terminal
Information can calculate the distance between multiple numerical value of first terminal and multiple numerical value of each clustering cluster or similarity.
If the phase between multiple numerical value of any of S305, multiple clustering clusters clustering cluster and multiple numerical value of first terminal
It is greater than or equal to threshold value like degree, it is determined that target service set meal is the corresponding pre-set business set meal of any one clustering cluster.
Illustratively, which can be 85%-95%.It is of course also possible to be other numerical value, e.g., multiple similarities are most
A big numerical value, the embodiment of the present application do not limit.
In the embodiment of the present application, in each clustering cluster of the server 20 by a variety of clustering clusters marked off in analysis S302
Second terminal internet information, can determine the online preference of multiple clustering cluster.
After server 20 quantifies the internet information of the user of first terminal, in conjunction with the user information pair of first terminal
The multiple numerical value answered multiple numerical value corresponding with business information can calculate multiple numerical value of first terminal and each cluster classification
Between similarity or distance.When the similarity of multiple numerical value of multiple numerical value and a certain clustering cluster of first terminal or apart from super
When crossing threshold value, then server 20 sends the service package (such as flow, duration, short message item number) under this clustering cluster to first terminal.
It should be noted that being measured not with specific value (flow usage amount and access duration on such as certain class website or software)
With the online preference of cluster group, the numerical value knot for being included by the specific value for reflecting user's online preference and every kind of clustering cluster
It closes, the feature of classification supplement is clustered as every kind.The online preference of multiple second terminals is combined together with multiple clustering clusters,
As the reference and standard of service package change, the actual demand being more close to the users can be determined accurately and meet user's need
The service package asked.
Method provided by the embodiments of the present application, before S101, server 20 can also be according to each business and each industry
Corresponding multiple data intervals of being engaged in determine multiple pre-set business set meals.
Specifically, in an alternative embodiment, as shown in figure 5, method provided by the embodiments of the present application S101 it
Before, can also include:
S501, multiple business that multiple second terminals are determined according to the first business information set and the second business information set
Variation tendency.
Wherein, the first business information set includes the multiple first business letter of multiple second terminal service package before changing
Breath, the second business information set include corresponding multiple with multiple first business information after multiple second terminal service package change
Second business information.
For example, then the second business is second when the first business is the duration of call of second terminal service package before changing
The duration of call after the change of terminal traffic set meal.
A kind of acquisition modes of the user information of second terminal can be in the embodiment of the present application are as follows: server 20 can be from logical
After believing the business information obtained in the database of operator multiple second terminal service package before changing and service package change
Business information.Certainly, the embodiment of the present application is not limited to this, and can also obtain the business of multiple second terminals by other means
Business information after the business information and service package change of set meal before changing.
Illustratively, the appearance that server 20 can obtain preset quantity from the database of common carrier low turns Gao Ye
The user information of the second terminal of business set meal behavior, and the business information with complete month of multiple terminal is obtained, such as flow
Measure information and duration of call information.For example, multiple second terminal using low tariff services set meal and has carried out low turn in April
The change of high service package has used high tariff services set meal in May, then the available multiple second terminal of server 20
In the business information of the service package of the business information and May of the service package in April.
In the embodiment of the present application, server 20 determines multiple according to the first business information set and the second business information set
A kind of implementation of the business variation tendency of second terminal can be with are as follows: draws the first business information respectively by Density Estimator
The probability density distribution comparison diagram of set and the second business information set.
It should be noted that Density Estimator is to be used to estimate unknown density function in probability theory, belong to nonparametric inspection
One of proved recipe method.It, can be with if a certain number occurs under observation in the case where the Probability Distributed Unknown to a certain things
Think that the probability density for the number that the probability density of this number is bigger and this number is closer also can be bigger, and those are from this
The probability density of the remote number of number can be smaller.It can go to be fitted this number for each of observation number based on this
That remote small nearly maximum probability density, can also use other symmetrical functions in fact certainly.For the number occurred in each observation
After fitting multiple probability density functions, it is averaged.Assuming that there is n several x-xn, the probability that calculate a certain number x is close
Degree has much.The method of Density Estimator can be with are as follows:
Wherein, p (x) is probability density, N (x-xn, z) be normal distribution probability density function, z be set parameter, N
For the integer greater than 1.
Server 20 counts the business information and service package change of the service package of multiple second terminals before changing respectively
Business information afterwards draws the user that above-mentioned multiple second terminals occur using the method for Density Estimator in service package change
The distribution map of the probability density function of different business information after the change of preceding and service package.It can from the distribution map of probability density function
To determine the business variation tendency of second terminal.
Illustratively, Fig. 6 is flow and the May in the April for the multiple second terminals drawn according to Density Estimator
The probability density distribution figure of flow, the call in the April and May of the above-mentioned second terminal that Fig. 7 is drawn according to Density Estimator
The probability density distribution figure of duration.
S502, the corresponding multiple data intervals of each business are determined according to the variation tendency of business each in multiple business.
Illustratively, by Fig. 6 it is found that the user of above-mentioned multiple second terminals service package change after flow distribution exist
The probability of section 1G-2G increases, and the case where being distributed in probability and the last month of rest interval is very close.By in Fig. 7 it is found that
The user of the above-mentioned multiple second terminals probability that the duration of call is distributed in section 0-150min after service package change increases, and
The case where being distributed in probability and the last month of rest interval is very close.
S503, determined according to business each in multiple business and the corresponding multiple data intervals of each business it is multiple pre-
If service package.
Illustratively, it will be appreciated from fig. 6 that the use of flow after service package change of multiple second terminals is distributed in 1G-2G
Probability increase, therefore in server when determining pre-set business set meal, the business set including flow in 1G-2G can be increased
Meal, for example, increasing the pre-set business set meal of the data on flows packet including 1G, 1.5G, 2G.As shown in Figure 7, multiple second terminals exist
The probability that the use of the duration of call is distributed in 0-150min after service package change increases, therefore is determining default industry in server
Be engaged in set meal when, the service package of the duration of call including 0-150min can be increased, for example, increase include 80min, 90min,
The pre-set business set meal of the duration of call of 100min, 120min, 150min.
In the embodiment of the present application, server 20 can also be by business such as multiple flows obtained above, multiple duration of calls
Information is combined, and can determine multiple pre-set business set meals.
In an alternative embodiment, as shown in figure 8, method provided by the embodiments of the present application before S101, is gone back
May include:
S801, determine that business information is corresponding according to the second business information set after the change of multiple second terminal service package
Cumulative distribution.
Wherein, cumulative distribution includes each probability distribution area in multiple probability distribution sections and multiple probability distribution sections
Between corresponding data interval, probability distribution section be greater than or equal to 0 and be less than or equal to 1.
It should be noted that in the embodiment of the present application cumulative distribution can for cumulative distribution function (or are as follows: distribution function).
Cumulative distribution function is the integral of probability density function, can completely describe the probability distribution of a real random variable x.For all
Real number x, cumulative distribution function are defined as follows:
Fx(x)=P (X≤x), wherein FxIt (x) is Cumulative Distribution Function, P (X≤x) is the product of above-mentioned probability density function
Point.
Illustratively, as shown in Figure 9, Figure 10, the embodiment of the present application is according to the second collection of services of above-mentioned second terminal
The cumulative distribution figure that data are drawn.
It should be noted that horizontal axis indicates the data on flows distributed area after multiple second terminal service package changes in Fig. 9
Between, the longitudinal axis indicates that multiple data on flows distributed areas correspond to the accounting value of multiple terminals.Horizontal axis indicates that multiple second is whole in Figure 10
Duration of call distributed area after holding service package change, the longitudinal axis indicate the corresponding multiple terminals of each duration of call distributed area
Accounting value.
S802, multiple pre-set business are determined according to multiple probability distribution sections and the corresponding data interval of each probability distribution
Set meal.
As shown in Figure 9,90% user May flow usage amount within 30G；As shown in Figure 10, the May of 90% user is logical
Duration usage amount is talked about within 400min.
Server 20 can determine that distinguish number at equal intervals second is whole according to the Cumulative Distribution Function figure of multiple second terminals
The boundary of flow (duration of call) usage amount at end can formulate on this basis for the gear of composite service set meal and price mentions
For reference.
Server 20 can also according to corresponding probability intervals of business such as the flows (duration of call) of multiple second terminals and
The corresponding data interval of each probability interval determines multiple set meals.
Illustratively, in Fig. 9, traffic partition is successively 5 sections, each flow according to the size of flow by server 20
Section includes multiple and different data on flows, and the accounting value of the quantity of the corresponding second terminal of flow rate zone is divided into 5 Probability Regions
Between, the value of each probability interval is respectively 0.2,0.4,0.6,0.8,1.As shown in Figure 9, section [0.6,0.7] corresponding flow
Data be [5G, 10G] namely 10% second terminal flow positioned at 5G to 10G between, hence, it can be determined that including 5G or
Multiple pre-set business set meals of the flow of 7G or 10G.
Multiple pre-set business sets including the different duration of calls are determined by the Cumulative Distribution Function of the duration of call in Figure 10
Meal, with it is above-mentioned it is multiple include the method for pre-set business set meal of different flow data it is consistent, details are not described herein.
It should be noted that being also possible that short message item number in pre-set business set meal in the embodiment of the present application.Multiple includes not
The determination method of above-mentioned multiple pre-set business set meals can be referred to the determination method of the pre-set business set meal of short message item number, herein
It repeats no more.
In the embodiment of the present application, server 20 can also be by information such as multiple flows obtained above, multiple duration of calls
It is combined, can determine multiple pre-set business set meals.
The main function of Cumulative Distribution Function is exactly that observe the probability that the value of stochastic variable occurs in which block bigger.
Cumulative Distribution Function does not introduce the external concept such as bandwidth, therefore will not lose any data information.For given data set,
Cumulative Distribution Function is unique.The cumulative distribution figure of flow and total duration of call is always used by multiple second terminals, it can be with
Determine multiple pre-set business set meals.
The embodiment of the present application can according to above method example to the determining device of service package carry out functional module or
The division of functional unit, for example, each functional module of each function division or functional unit can be corresponded to, it can also be by two
Or more than two functions are integrated in a processing module.Above-mentioned integrated module both can take the form of hardware realization,
It can also be realized in the form of software function module or functional unit.Wherein, to module or list in the embodiment of the present application
The division of member is schematically that only a kind of logical function partition, there may be another division manner in actual implementation.
The embodiment of the present application provides a kind of determining device of service package, which can be server, or
Applied to the chip of server, as shown in figure 11, which can include determining that unit 111.
Determination unit 111, the business information of the current business set meal for determining first terminal；Business information includes communication
Information and flow information, the communication information include communication time and/or number of communications.
Determination unit 111 is also used to determine the internet information of first terminal；Internet information includes multiple flow classs of service
And the corresponding flow of each flow class of service uses data in multiple flow classs of service.
Determination unit 111 is also used to be preset according to the user information of first terminal, internet information and business information from multiple
At least one target service set meal is determined in service package；Wherein, multiple pre-set business set meals are according to multiple second terminal industry
Business information after the business information and/or service package change of set meal before changing of being engaged in determines.
Optionally, determination unit 111 can be also used for: true according to the first business information set and the second business information set
The variation tendency of multiple business of fixed multiple second terminals；Wherein, the first business information set includes multiple second terminal business
Multiple first business information of set meal before changing, the second business information set include after the change of multiple second terminal service package with
Corresponding multiple second business information of multiple first business information；It is determined according to the variation tendency of business each in multiple business every
The corresponding multiple data intervals of a business；It is true according to business each in multiple business and the corresponding multiple data intervals of each business
Fixed multiple pre-set business set meals.
Optionally, determination unit 111 can be also used for: according to the second business after the change of multiple second terminal service package
Information aggregate determines the corresponding cumulative distribution of business information, wherein cumulative distribution includes multiple probability distribution sections and multiple
The corresponding data interval in each probability distribution section in probability distribution section, probability distribution section be greater than or equal to 0 and be less than or
Equal to 1；Multiple pre-set business set meals are determined according to multiple probability distribution sections and the corresponding data interval of each probability distribution.
Optionally, determination unit 111 can be specifically used for: believe the user information of first terminal, internet information and business
Breath handled, obtain multiple numerical value, wherein multiple numerical value include the user information of first terminal it is corresponding at least one first
The communication information corresponding at least one of numerical value, at least one corresponding second value of internet information of first terminal and first terminal
A third value；Calculate the similarity of multiple numerical value of each clustering cluster in the multiple numerical value and multiple clustering clusters of first terminal；
Wherein, multiple clustering clusters are to be determined according to clustering algorithm and multiple numerical value of multiple second terminals, and each clustering cluster includes at least
At least one corresponding the 4th numerical value of the user information of one second terminal, the internet information of at least one second terminal are corresponding
At least one corresponding the 6th numerical value of the business information of at least one the 5th numerical value and at least one second terminal；If multiple clusters
Similarity between multiple numerical value of any of cluster clustering cluster and multiple numerical value of first terminal is greater than or equal to threshold value, then really
The service package that sets the goal is the corresponding pre-set business set meal of any one clustering cluster.
Optionally, as shown in figure 11, the determining device of service package provided by the embodiments of the present application can also include communication
Unit 112, the communication connection of server and first terminal for common carrier.
Figure 12 shows another possible structural representation of the determining device of involved service package in above-described embodiment
Figure.When the device is server, which includes: one or more processors 161 and communication interface 162.Processor 161 is used
Control management is carried out in the movement to device, for example, executing the step of above-mentioned determination unit 111 executes, and/or for executing sheet
Other processes of technology described in text.
In the concrete realization, as one embodiment, processor 161 may include one or more CPU, such as in Figure 12
CPU0 and CPU1.
In the concrete realization, as one embodiment, the apparatus may include multiple processors, such as the processing in Figure 12
Device 161.Each of these processors can be monokaryon (single-CPU) processor, be also possible to a multicore
(multi-CPU) processor.Here processor can refer to one or more equipment, circuit, and/or for handling data (example
Such as computer program instructions) processing core.
Optionally, which can also include memory 163 and communication line 164, and memory 163 is for storage device
Program code and data.
Figure 13 is the structural schematic diagram of chip 170 provided by the embodiments of the present application.Chip 170 includes one or more
(including two) processor 1710 and communication interface 1730.
Optionally, which further includes memory 1740, and memory 1740 may include read-only memory and deposit at random
Access to memory, and operational order and data are provided to processor 1710.The a part of of memory 1540 can also include non-volatile
Property random access memory (non-volatile random access memory, NVRAM).
In some embodiments, memory 1740 stores following element, execution module perhaps data structure or
Their subset or their superset.
In the embodiment of the present application, by calling the operational order of the storage of memory 1740, (operational order is storable in
In operating system), execute corresponding operation.
Wherein, above-mentioned processor 1710 may be implemented or execute various exemplary in conjunction with described in present disclosure
Logic block, unit and circuit.The processor can be central processing unit, general processor, and digital signal processor is dedicated
Integrated circuit, field programmable gate array or other programmable logic device, transistor logic, hardware component or its
Any combination.It, which may be implemented or executes, combines various illustrative logic blocks described in present disclosure, unit
And circuit.The processor is also possible to realize the combination of computing function, such as combines comprising one or more microprocessors,
DSP and the combination of microprocessor etc..
Memory 1740 may include volatile memory, such as random access memory；The memory also may include
Nonvolatile memory, such as read-only memory, flash memory, hard disk or solid state hard disk；The memory can also include upper
State the combination of the memory of type.
Bus 1720 can be expanding the industrial standard structure (Extended Industry Standard
Architecture, EISA) bus etc..Bus 1720 can be divided into address bus, data/address bus, control bus etc..For convenient for
It indicates, is only indicated with a line in Figure 13, it is not intended that an only bus or a type of bus.
Through the above description of the embodiments, it is apparent to those skilled in the art that, for description
It is convenienct and succinct, only with the division progress of above-mentioned each functional unit for example, in practical application, can according to need and will be upper
It states function distribution to be completed by different functional units, i.e., the internal structure of device is divided into different functional units, to complete
All or part of function described above.The specific work process of the system, apparatus, and unit of foregoing description, before can referring to
The corresponding process in embodiment of the method is stated, details are not described herein.
The embodiment of the present application also provides a kind of computer readable storage medium, and finger is stored in computer readable storage medium
It enables, when computer executes the instruction, which executes each step in method flow shown in above method embodiment.
Wherein, computer readable storage medium, such as electricity, magnetic, optical, electromagnetic, infrared ray can be but not limited to or partly led
System, device or the device of body, or any above combination.The more specific example of computer readable storage medium is (non-poor
The list of act) it include: the electrical connection with one or more conducting wires, portable computer diskette, hard disk.Random access memory
(Random Access Memory, RAM), read-only memory (Read-Only Memory, ROM), erasable type may be programmed read-only
It is memory (Erasable Programmable Read Only Memory, EPROM), register, hard disk, optical fiber, portable
Compact disc read-only memory (Compact Disc Read-Only Memory, CD-ROM), light storage device, magnetic memory
Part or above-mentioned people are in appropriate combination or the computer readable storage medium of any other form of this field numerical value.
A kind of illustrative storage medium is coupled to processor, to enable a processor to from the read information, and can be to
Information is written in the storage medium.Certainly, storage medium is also possible to the component part of processor.Pocessor and storage media can be with
In application-specific IC (Application Specific Integrated Circuit, ASIC).In the application
In embodiment, computer readable storage medium can be any tangible medium for including or store program, which can be referred to
Enable execution system, device or device use or in connection.
The embodiment of the present invention provides a kind of computer program product comprising instruction, when instruction is run on computers
When, so that computer executes the determination method of the service package as described in Fig. 2, Fig. 3, Fig. 5, Fig. 8.
By the determining device of service package in an embodiment of the present invention, computer readable storage medium, computer journey
Sequence product can be applied to the above method, therefore, can be obtained technical effect see also above method embodiment, this hair
Details are not described herein for bright embodiment.
In several embodiments provided herein, it should be understood that disclosed system, apparatus and method, it can be with
It realizes by another way.For example, apparatus embodiments described above are merely indicative, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of equipment or unit
It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
The above, the only specific embodiment of the application, but the protection scope of the application is not limited thereto, it is any
Those familiar with the art within the technical scope of the present application, can easily think of the change or the replacement, and should all contain
Lid is within the scope of protection of this application.Therefore, the protection scope of the application should be based on the protection scope of the described claims.
Claims (10)
1. a kind of determination method of service package characterized by comprising
Determine the business information of the current business set meal of first terminal；The business information includes the communication information and flow information,
The communication information includes communication time and/or number of communications；
Determine the internet information of the first terminal；The internet information includes multiple flow classs of service and the multiple flow
The corresponding flow of each flow class of service uses data in class of service；
According to the user information of the first terminal, the internet information and the business information from multiple pre-set business set meals
Determine at least one target service set meal；Wherein, the multiple pre-set business set meal becomes according to multiple second terminal service package
Business information after more preceding business information and/or service package change determines.
2. the method according to claim 1, wherein according to the user information of the first terminal, the online
Information and the communication information determine at least one target service set meal from multiple pre-set business set meals, comprising:
The user information of the first terminal, the internet information and the business information are handled, obtain described first
Multiple numerical value of terminal, wherein multiple numerical value of the first terminal include that the user information of the first terminal is corresponding extremely
First numerical value, at least one corresponding second value of internet information of the first terminal and the first terminal is logical less
At least one corresponding third value of letter information；
Calculate the similarity in the multiple numerical value and multiple clustering clusters of the first terminal between multiple numerical value of each clustering cluster；
Wherein, the multiple clustering cluster is to be determined according to clustering algorithm and multiple numerical value of the multiple second terminal, described each poly-
Class cluster include at least one corresponding the 4th numerical value of the user information of at least one second terminal, at least one described second
The business information of at least one corresponding the 5th numerical value of the internet information of terminal and at least one second terminal is corresponding extremely
Few 6th numerical value；
If the institute between multiple numerical value of any of the multiple clustering cluster clustering cluster and multiple numerical value of the first terminal
Similarity is stated more than or equal to threshold value, it is determined that the target service set meal is the corresponding pre-set business of any one described clustering cluster
Set meal.
3. method according to claim 1 or 2, which is characterized in that the method also includes:
The change of multiple business of the multiple second terminal is determined according to the first business information set and the second business information set
Change trend；Wherein, the first business information set includes multiple first of the multiple second terminal service package before changing
Business information, the second business information set include after the change of the multiple second terminal service package with the multiple first
Corresponding multiple second business information of business information；
The corresponding multiple data fields of each business are determined according to the variation tendency of business each in the multiple business
Between；
It is determined according to business each in the multiple business and the corresponding multiple data intervals of each business the multiple pre-
If service package.
4. method according to claim 1 or 2, which is characterized in that the method also includes:
Determine that the business information is corresponding according to the second business information set after the change of the multiple second terminal service package
Cumulative distribution；Wherein, the cumulative distribution includes every in multiple probability distribution sections and the multiple probability distribution section
The corresponding data interval in a probability distribution section, the probability distribution section are greater than or equal to 0 and are less than or equal to 1；
It is determined according to the multiple probability distribution section and the corresponding data interval of each probability distribution the multiple default
Service package.
5. a kind of determining device of service package characterized by comprising
Determination unit, the business information of the current business set meal for determining first terminal；The business information includes communication letter
Breath and flow information, the communication information include communication time and/or number of communications；
The determination unit is also used to determine the internet information of the first terminal；The internet information includes multiple flow industry
The corresponding flow of each flow class of service uses data in classification and the multiple flow class of service of being engaged in；
The determination unit is also used to the user information according to the first terminal, the internet information and the business information
At least one target service set meal is determined from multiple pre-set business set meals；Wherein, according to the multiple pre-set business set meal
Business information after the business information and/or service package change of multiple second terminal service package before changing determines.
6. device according to claim 5, which is characterized in that the determination unit is specifically used for:
The user information of the first terminal, the internet information and the business information are handled, obtain described first
Multiple numerical value of terminal, wherein multiple numerical value of the first terminal include that the user information of the first terminal is corresponding extremely
First numerical value, at least one corresponding second value of internet information of the first terminal and the first terminal is logical less
At least one corresponding third value of letter information；
Calculate the similarity in the multiple numerical value and multiple clustering clusters of the first terminal between multiple numerical value of each clustering cluster；
Wherein, the multiple clustering cluster is to be determined according to clustering algorithm and multiple numerical value of the multiple second terminal, described each poly-
Class cluster include at least one corresponding the 4th numerical value of the user information of at least one second terminal, at least one described second
The business information of at least one corresponding the 5th numerical value of the internet information of terminal and at least one second terminal is corresponding extremely
Few 6th numerical value；
If the institute between multiple numerical value of any of the multiple clustering cluster clustering cluster and multiple numerical value of the first terminal
Similarity is stated more than or equal to threshold value, it is determined that the target service set meal is the corresponding pre-set business of any one described clustering cluster
Set meal.
7. device according to claim 5 or 6, which is characterized in that the determination unit is also used to:
The change of multiple business of the multiple second terminal is determined according to the first business information set and the second business information set
Change trend；Wherein, the first business information set includes multiple first of the multiple second terminal service package before changing
Business information, the second business information set include after the change of the multiple second terminal service package with the multiple first
Corresponding multiple second business information of business information；
The corresponding multiple data intervals of each business are determined according to the variation tendency of business each in the multiple business；
It is determined according to business each in the multiple business and the corresponding multiple data intervals of each business the multiple pre-
If service package.
8. device according to claim 5 or 6, which is characterized in that the determination unit is also used to:
Determine that the business information is corresponding according to the second business information set after the change of the multiple second terminal service package
Cumulative distribution, wherein the cumulative distribution includes every in multiple probability distribution sections and the multiple probability distribution section
The corresponding data interval in a probability distribution section, the probability distribution section are greater than or equal to 0 and are less than or equal to 1；
It is determined according to the multiple probability distribution section and the corresponding data interval of each probability distribution the multiple default
Service package.
9. a kind of readable storage medium storing program for executing, which is characterized in that instruction is stored in the readable storage medium storing program for executing, when described instruction is held
When row, method according to any one of claims 1 to 4 is realized.
10. a kind of chip, which is characterized in that the chip includes at least one processor and communication interface, the communication interface
It is coupled at least one described processor, at least one described processor is for running computer program or instruction, to realize power
Benefit require any one of 1 to 4 described in method.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111131516A (en) * | 2019-12-31 | 2020-05-08 | 中国联合网络通信集团有限公司 | Service configuration method and device |
| CN111246389A (en) * | 2020-01-09 | 2020-06-05 | 爱讯智联科技(北京)有限公司 | Intelligent network selection method, device and system based on user behaviors |
| CN112801716A (en) * | 2021-02-20 | 2021-05-14 | 中国联合网络通信集团有限公司 | Set meal prediction method and device |
| CN113630432A (en) * | 2020-05-08 | 2021-11-09 | 亚信科技（中国）有限公司 | Service data management method and device |
| CN113965900A (en) * | 2020-07-20 | 2022-01-21 | 中国移动通信集团安徽有限公司 | Method and device for dynamically expanding flow resource, computing equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103581867A (en) * | 2013-11-19 | 2014-02-12 | 华为技术有限公司 | Service package switching method, device and system |
| US20150289123A1 (en) * | 2013-10-04 | 2015-10-08 | Cisco Technology, Inc. | System and method for orchestrating mobile data networks in a machine-to-machine environment |
| CN107995007A (en) * | 2017-12-01 | 2018-05-04 | 中国联合网络通信集团有限公司 | Customer charge collocation method and customer charge configuration system |
| US20180159987A1 (en) * | 2015-05-04 | 2018-06-07 | Onepin, Inc. | Interactive campaign-based customer feedback collection platform |
| CN109218034A (en) * | 2018-08-24 | 2019-01-15 | 曹春江 | Communication user set meal accurate recommendation method based on multi-angle neural network model |
| CN109348512A (en) * | 2018-11-08 | 2019-02-15 | 中国联合网络通信集团有限公司 | Method of adjustment, device and the storage medium of business dosage |
| CN109697448A (en) * | 2017-10-20 | 2019-04-30 | 中移(苏州)软件技术有限公司 | A kind of recommended method of service package, equipment and computer readable storage medium |
-
2019
- 2019-05-15 CN CN201910408090.0A patent/CN110087228B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150289123A1 (en) * | 2013-10-04 | 2015-10-08 | Cisco Technology, Inc. | System and method for orchestrating mobile data networks in a machine-to-machine environment |
| CN103581867A (en) * | 2013-11-19 | 2014-02-12 | 华为技术有限公司 | Service package switching method, device and system |
| US20180159987A1 (en) * | 2015-05-04 | 2018-06-07 | Onepin, Inc. | Interactive campaign-based customer feedback collection platform |
| CN109697448A (en) * | 2017-10-20 | 2019-04-30 | 中移(苏州)软件技术有限公司 | A kind of recommended method of service package, equipment and computer readable storage medium |
| CN107995007A (en) * | 2017-12-01 | 2018-05-04 | 中国联合网络通信集团有限公司 | Customer charge collocation method and customer charge configuration system |
| CN109218034A (en) * | 2018-08-24 | 2019-01-15 | 曹春江 | Communication user set meal accurate recommendation method based on multi-angle neural network model |
| CN109348512A (en) * | 2018-11-08 | 2019-02-15 | 中国联合网络通信集团有限公司 | Method of adjustment, device and the storage medium of business dosage |
Non-Patent Citations (3)
| Title |
|---|
| ZHIYUAN WANG等: "Pricing Optimization of Rollover Data Plan", 《2017 15TH INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS (WIOPT)》 * |
| 周立松: "通信运营商基于大数据的精准化个性化服务的研究", 《电脑与电信》 * |
| 张永涛: "自主设计相似度算法的套餐推荐系统", 《电信技术》 * |
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