CN106897960A - A kind of classification information acquisition methods and device - Google Patents

A kind of classification information acquisition methods and device Download PDF

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Publication number
CN106897960A
CN106897960A CN201510959173.0A CN201510959173A CN106897960A CN 106897960 A CN106897960 A CN 106897960A CN 201510959173 A CN201510959173 A CN 201510959173A CN 106897960 A CN106897960 A CN 106897960A
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user
business
sequence number
service traffics
ranking sequence
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王燕蒙
段福高
孟繁宇
胡珉
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China Mobile Communications Group Co Ltd
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China Mobile Communications Group Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques

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Abstract

The embodiment of the invention discloses a kind of classification information acquisition methods, methods described includes:Obtain the service traffics data of user in predetermined period;Wherein, the service traffics data of the user include the flow information of each business of user;Service traffics data to the user are ranked up treatment, and the result based on the sequence treatment obtains the tag along sort information of the user.The embodiment of the present invention further simultaneously discloses a kind of classification information acquisition device.

Description

A kind of classification information acquisition methods and device
Technical field
The user's sorting technique based on business in the present invention relates to the communications field, more particularly to a kind of classification letter Breath acquisition methods and device.
Background technology
Mobile communications network introduces Policy Control mechanism, and after employing the Policy Control mechanism, network possesses right User and business carry out the ability of policy control.Policy Control mechanism can be based on user's signing strategy, be based on Upper-layer service application attribute, the charging policy based on user or based on roaming policy etc..Policy Control mechanism reality Body is achievable to customer service quality and effective management and implementation of charging by after the above-mentioned strategy of integrated treatment, It is that Operator Specific Service management and control and raising Consumer's Experience bring benefit.In the prior art, usually using strategy Generated strategy with charging rule functions (Policy And Charging Rules Function, PCRF).
In the prior art for the classification of user, a kind of is based on users such as user identity, sex, ages Essential information carries out user's classification, what the webpage that another kind is directed to user's access was classified to user. Mobile subscriber is varied by the type of service of network access, can not be entered based on service traffics in the prior art Row user classifies, and then cannot preferably realize that subscriber policy is distributed, and Consumer's Experience effect declines.
The content of the invention
In order to solve the above technical problems, the embodiment of the present invention is expected to provide a kind of classification information acquisition methods and dress Put, solve the problems, such as that prior art can not carry out user's classification based on service traffics, it is ensured that preferably Subscriber policy distribution and Operator Specific Service management and control are realized, the experience effect of user is improve.
The technical proposal of the invention is realized in this way:
A kind of classification information acquisition methods, methods described includes:
Obtain the service traffics data of user in predetermined period;Wherein, the service traffics packet of the user Include the flow information of each business of user;
Service traffics data to the user are ranked up treatment, and the result based on the sequence treatment is obtained To the tag along sort information of the user.
Optionally, the service traffics data for obtaining user in predetermined period, including:
Obtain the history service data on flows of user in the predetermined period;
History service data on flows to the user carries out integration treatment, and forming user according to preset rules flows Moment matrix, and store in user behavior historical data base.
Optionally, the service traffics data to the user are ranked up treatment, and based on the sequence The result for the treatment of obtains the tag along sort information of the user, including:
The customer flow matrix in preset time period is obtained from the user behavior historical data base;
Obtain each business of each user in the customer flow matrix in the preset time period it is described each Ranking sequence number in all business of user;
The ranking sequence number of each business according to each user in all business of each user is obtained The business information ranked the first in the business of each user, and respectively according to ranking in the business of each user First business obtains the tag along sort information of each user.
Optionally, the service traffics data to the user are ranked up treatment, and based on the sequence The result for the treatment of obtains the tag along sort information of the user, including:
The customer flow matrix in preset time period is obtained from the user behavior historical data base;
Obtain each business of each user in the customer flow matrix in the preset time period it is described each Ranking sequence number in all business of user;
Count the industry that the service traffics of each user in the customer flow matrix in the preset time period are not zero The quantity of business;
Each of the quantity of the business that the service traffics according to each user are not zero and each user Ranking sequence number of the business in all business of each user, obtains the tag along sort information of the user.
Optionally, the quantity of the business that the service traffics of each user described in the basis are not zero and described every Ranking sequence number of each business of individual user in all business of each user, obtains the user's Tag along sort information, including:
The quantity of the business that the service traffics according to each user are not zero is worth to the first pre-determined threshold First numerical value;
The ranking sequence number of each business according to each user in all business of each user is obtained To each business ranking sequence number less than or equal to first numerical value first user, and according to it is described The corresponding business of first user determines the tag along sort information of the first user;Wherein, it is described with described The corresponding business of one user be the first user business in ranking sequence number be less than or equal to the first numerical value Business;
The quantity of the business that the service traffics according to each user are not zero and the second pre-determined threshold are worth to Second value;
The ranking sequence number of each business according to each user in all business of each user is obtained To each business ranking sequence number between first numerical value and the second value second user, and according to Business corresponding with the second user determines the tag along sort information of the second user;Wherein, it is described with The corresponding business of the second user be the second user business in ranking sequence number first numerical value with Business between the second value.
A kind of classification information acquisition device, described device includes:Acquiring unit and processing unit, wherein:
The acquiring unit, the service traffics data for obtaining user in predetermined period;Wherein, the use The service traffics data at family include the flow information of each business of user;
The processing unit, treatment is ranked up for the service traffics data to the user, and based on institute The result for stating sequence treatment obtains the tag along sort information of the user.
Optionally, the acquiring unit includes:First acquisition module and first processing module, wherein:
First acquisition module, the history service data on flows for obtaining user in the predetermined period;
The first processing module, integration treatment is carried out for the history service data on flows to the user, Customer flow matrix is formed according to preset rules, and is stored in user behavior historical data base.
Optionally, the processing unit includes:Second acquisition module and Second processing module, wherein:
Second acquisition module, for being obtained in preset time period from the user behavior historical data base First user traffic matrix;
Second acquisition module, is additionally operable to obtain each of each user in the first user traffic matrix Ranking sequence number of the business in all business of each user;
The Second processing module, for according to each business of each user each user's Ranking sequence number in all business obtains the business information ranked the first in the business of each user, and root respectively The tag along sort information of each user is obtained according to the business ranked the first in the business of each user.
Optionally, the processing unit also includes:3rd acquisition module, statistical module and the 3rd processing module, Wherein:
3rd acquisition module, for being obtained in preset time period from the user behavior historical data base First user traffic matrix;
3rd acquisition module, is additionally operable to obtain each of each user in the first user traffic matrix Ranking sequence number of the business in all business of each user;
The statistical module, for count each user in the first user traffic matrix service traffics not It is the quantity of zero business;
3rd processing module, the number of the business for being not zero according to the service traffics of each user Ranking sequence number of each business of amount and each user in all business of each user, obtains The tag along sort information of the user.
Optionally, the 3rd processing module specifically for:
The quantity of the business that the service traffics according to each user are not zero is worth to the first pre-determined threshold First numerical value;
The ranking sequence number of each business according to each user in all business of each user is obtained To each business ranking sequence number less than or equal to first numerical value first user, and according to it is described The corresponding business of first user determines the tag along sort information of the first user;Wherein, it is described with described The corresponding business of one user be the first user business in ranking sequence number be less than or equal to the first numerical value Business;
The quantity of the business that the service traffics according to each user are not zero and the second pre-determined threshold are worth to Second value;
The ranking sequence number of each business according to each user in all business of each user is obtained To each business ranking sequence number between first numerical value and the second value second user, and according to Business corresponding with the second user determines the tag along sort information of the second user;Wherein, it is described with The corresponding business of the second user be the second user business in ranking sequence number first numerical value with Business between the second value.
Classification information acquisition methods and device that embodiments of the invention are provided, can obtain in predetermined period The service traffics data of user, while treatment is ranked up to the service traffics data of user, and based on sequence The result for the treatment of obtains the tag along sort information of user, so, can be based on the service traffics of the user for obtaining The sequence result of data, marks the tag along sort information of user, solves prior art and is unable to base The problem of user's classification is carried out in service traffics, it is ensured that preferably realize subscriber policy distribution and Operator Specific Service Management and control, improves the experience effect of user.
Brief description of the drawings
A kind of schematic flow sheet of classification information acquisition methods that Fig. 1 is provided for embodiments of the invention;
The structural representation of another categorizing system that Fig. 2 is provided for embodiments of the invention;
The schematic flow sheet of another classification information acquisition methods that Fig. 3 is provided for embodiments of the invention;
The schematic flow sheet of another classification information acquisition methods that Fig. 4 is provided for embodiments of the invention;
A kind of schematic flow sheet of classification information acquisition methods that Fig. 5 is provided for another embodiment of the present invention;
A kind of structural representation of classification information acquisition device that Fig. 6 is provided for embodiments of the invention;
The structural representation of another classification information acquisition device that Fig. 7 is provided for embodiments of the invention;
The structural representation of another classification information acquisition device that Fig. 8 is provided for embodiments of the invention;
A kind of structural representation of classification information acquisition device that Fig. 9 is provided for another embodiment of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clearly Chu, it is fully described by.
Embodiments of the invention provide a kind of classification information acquisition methods, and shown in reference picture 1, the method includes Following steps:
Step 101, the service traffics data for obtaining user in predetermined period.
Wherein, the service traffics data of user include the flow information of each business of user.
Specifically, the business of user can include:Browse web traffic, APPN (Peer to Peer, P2P) service, instant messaging business (Instant Messaging, IM), play games, send out various industry such as mail Service type.It should be noted that the service traffics data of the user in the predetermined period that obtains of step can be by Classification information acquisition device is realized.The service traffics data of the user in default surrounding for obtaining can include The flow information of the business that user has applied, it is also possible to the flow information of the business do not applied including user.
Step 102, the service traffics data to user are ranked up treatment, and the result based on sequence treatment Obtain the tag along sort information of user.
Specifically, step is ranked up treatment, and the knot based on sequence treatment to the service traffics data of user The tag along sort information that fruit obtains user can be realized by classification information acquisition device.What the present invention was provided divides Category information acquisition methods can apply in the categorizing system shown in Fig. 2, and the system can include packet domain net Pass, internet, deep-packet detection (Deep Packet inspection, DPI) equipment, strategy and charging rule Then function (Policy And Charging Rules Function, PCRF) and user's classified service device.
The classification information acquisition methods that embodiments of the invention are provided, can obtain user in predetermined period Service traffics data, while treatment is ranked up to the service traffics data of user, and based on sequence treatment Result obtains the tag along sort information of user, so, can be based on the service traffics data of the user for obtaining Sequence result, marks the tag along sort information of user, and solving prior art can not be based on business Flow carries out the problem of user's classification, it is ensured that preferably realize subscriber policy distribution and Operator Specific Service management and control, Improve the experience effect of user.
Embodiments of the invention provide a kind of classification information acquisition methods, and shown in reference picture 3, the method includes Following steps:
Step 201, classification information acquisition device obtain the history service data on flows of user in predetermined period.
Specifically, predetermined period can user pre-set according to oneself custom and practical application effect One time period for example can be one month, season etc..The history service data on flows of user can be with It is periodically to obtain, data on flows of the user in the used business of predetermined period planted agent can be included, Can include that user does not answer the data on flows of used business in predetermined period, can be can to user The detection of the data on flows of all business for using.
Step 202, classification information acquisition device carry out integration treatment to the history service data on flows of user, Customer flow matrix is formed according to preset rules, and is stored in user behavior historical data base.
Specifically, the history service data on flows of user can be DPI equipment being sent to use by Nc interface Family classified service device.User's classified service device can be in units of one month to receiving the history industry of user Business data on flows is collected, and collects all history service datas on flows of each user respectively.Wherein, What preset rules can be that each row in customer flow matrix represent is each different business of user Data on flows or can be every a line in customer flow matrix represent be a user each is of the same trade or business The data on flows of business;Certainly, different business distributing order in a matrix can be pre-set, example Such as can be according to browse web traffic, APPN (Peer to Peer, P2P) service, instant messaging Business (Instant Messaging, IM), play games, send out the order such as mail and sequentially form and arrange.With In lower embodiment, what each row in customer flow matrix had represented is each different business of user Data on flows as a example by be described in detail.
Step 203, classification information acquisition device are obtained in preset time period from user behavior historical data base Customer flow matrix.
Wherein, preset time period can be that user pre-sets completion, for example, can be apart from current time Nearest one month etc..
Step 204, classification information acquisition device obtain each use in the customer flow matrix in preset time period Ranking sequence number of each business at family in all business of each user.
Specifically, can be the flow number of the data on flows in the business of each business for judging each user Ranking sequence number in is obtained, can be by obtaining in customer flow matrix each element in each row Numerical value can form matrix INDEX, INDEX=being obtained when the ranking sequence number in prostatitis [INDEXij], wherein, INDEXij represents the ranking of the jth kind business of user i.
Each business the owning in each user of step 205, classification information acquisition device according to each user Ranking sequence number in business obtains the business information ranked the first in the business of each user, and respectively according to every The business ranked the first in the business of individual user obtains the tag along sort information of each user.
Specifically, the tag along sort of each user can be labeled as into ranking in the business of each user respectively One service-user, if for example, the business that ranks the first of the service traffics of certain user is to browse webpage, The tag along sort of the user is marked to browse web page user.Wherein, step 204 and step 205 obtain each The tag along sort information of user can be in user's classified service device matrix computations module realize.
It should be noted that the explanation in the present embodiment with same steps in other embodiments is referred to other Description in embodiment, here is omitted.
The classification information acquisition methods that embodiments of the invention are provided, can obtain user in predetermined period Service traffics data, while treatment is ranked up to the service traffics data of user, and based on sequence treatment Result obtains the tag along sort information of user, so, can be based on the service traffics data of the user for obtaining Sequence result, marks the tag along sort information of user, and solving prior art can not be based on business Flow carries out the problem of user's classification, it is ensured that preferably realize subscriber policy distribution and Operator Specific Service management and control, Improve the experience effect of user.
Embodiments of the invention provide a kind of classification information acquisition methods, and shown in reference picture 4, the method includes Following steps:
Step 301, classification information acquisition device obtain the history service data on flows of user in predetermined period.
Step 302, classification information acquisition device carry out integration treatment to the history service data on flows of user, Customer flow matrix is formed according to preset rules, and is stored in user behavior historical data base.
Step 303, classification information acquisition device are obtained in preset time period from user behavior historical data base Customer flow matrix.
Each use in customer flow matrix in step 304, classification information acquisition device statistics preset time period The quantity of the business that the service traffics at family are not zero.
Specifically, can obtain every by obtaining the number of nonzero element in each row in customer flow matrix The quantity of the business that the service traffics of individual user are not zero, while can be according to the service traffics of each user not It is that the quantity of zero business obtains a vector, the vector can be that row vector can also be column vector.
Step 305, classification information acquisition device obtain each use in the customer flow matrix in preset time period Ranking sequence number of each business at family in all business of each user.
The number of the business that step 306, classification information acquisition device are not zero according to the service traffics of each user Ranking sequence number of each business of amount and each user in all business of each user, obtains dividing for user Class label information.
Specifically, the quantity and each use of the business that step 306 is not zero according to the service traffics of each user Ranking sequence number of each business at family in all business of each user, obtains the tag along sort information of user Can be accomplished by the following way:
The number of the business that step 306a, classification information acquisition device are not zero according to the service traffics of each user Amount is worth to the first numerical value with the first pre-determined threshold.
Specifically, the quantity of the business that the service traffics of each user can be not zero is multiplied by the first pre- gating Limit value to obtain the first numerical value of band.Wherein, the first predetermined threshold value can be one set in advance of user oneself Proportional numerical value, for example, can be 10%.
Each business the owning in each user of step 306b, classification information acquisition device according to each user Ranking sequence number in business obtains the first user of the ranking sequence number less than or equal to the first numerical value of each business, And the tag along sort information of first user is determined according to business corresponding with first user.
Wherein, business corresponding with first user for first user business in ranking sequence number be less than or equal to The business of the first numerical value.
Specifically, illustrated as a example by browsing web traffic, if each user's browses web traffic each Ranking sequence number in all business of individual user has ten less than or equal to the user of the first numerical value, then by this The tag along sort of ten users is labeled as browsing webpage severe user.
The number of the business that step 306c, classification information acquisition device are not zero according to the service traffics of each user Amount and the second pre-determined threshold are worth to second value.
Specifically, the quantity of the business that the service traffics of each user can be not zero is multiplied by the second pre- gating Limit value to obtain band second value.Wherein, the second predetermined threshold value can be one set in advance of user oneself Proportional numerical value, for example, can be 20%.
Wherein, the quantity of the business that step 306a is not zero according to the service traffics of each user is preset with first Thresholding is worth to the number of the business that the first numerical value is not zero with step 306c according to the service traffics of each user Amount and the second pre-determined threshold be worth to second value actually perform on there is no sequencing after, step 306a Can be performed simultaneously with step 306c.
Each business the owning in each user of step 306d, classification information acquisition device according to each user Ranking sequence number in business obtains the ranking sequence number of each business and second is used between the first numerical value and second value Family, and the tag along sort information of second user is determined according to business corresponding with second user.
Wherein, business corresponding with second user for second user business in ranking sequence number the first numerical value with Business between second value.
Specifically, illustrated as a example by browsing web traffic, if each user's browses web traffic each The user of ranking sequence number in all business of individual user between the first numerical value and second value has 20, Then the tag along sort of this 20 users is labeled as to browse webpage moderate user.
Wherein, the tag along sort information that step 304~step 306 obtains each user can be user's classification clothes What the matrix computations module in business device was realized, the tag along sort information of the user that will can be obtained afterwards send to "Policy and Charging Rules Function equipment.
It should be noted that the explanation in the present embodiment with same steps in other embodiments is referred to other Description in embodiment, here is omitted.
The classification information acquisition methods that embodiments of the invention are provided, can obtain user in predetermined period Service traffics data, while treatment is ranked up to the service traffics data of user, and based on sequence treatment Result obtains the tag along sort information of user, so, can be based on the service traffics data of the user for obtaining Sequence result, marks the tag along sort information of user, and solving prior art can not be based on business Flow carries out the problem of user's classification, it is ensured that preferably realize subscriber policy distribution and Operator Specific Service management and control, Improve the experience effect of user.
Embodiments of the invention provide a kind of classification information acquisition methods and device, shown in reference picture 5, the party Method is comprised the following steps:
Step 401, classification information acquisition device obtain the history service data on flows of user in predetermined period.
Step 402, classification information acquisition device carry out integration treatment to the history service data on flows of user, Customer flow matrix is formed according to preset rules, and is stored in user behavior historical data base.
Step 403, classification information acquisition device are obtained in preset time period from user behavior historical data base Customer flow matrix.
Each use in customer flow matrix in step 404, classification information acquisition device statistics preset time period The quantity of the business that the service traffics at family are not zero.
Step 405, classification information acquisition device obtain each use in the customer flow matrix in preset time period Ranking sequence number of each business at family in all business of each user.
Each business the owning in each user of step 406, classification information acquisition device according to each user Ranking sequence number in business obtains the business information ranked the first in the business of each user, and respectively according to every The business ranked the first in the business of individual user obtains the tag along sort information of each user.
The number of the business that step 407, classification information acquisition device are not zero according to the service traffics of each user Amount is worth to the first numerical value with the first pre-determined threshold.
Each business the owning in each user of step 408, classification information acquisition device according to each user Ranking sequence number in business obtains the first user of the ranking sequence number less than or equal to the first numerical value of each business, And the tag along sort information of first user is determined according to business corresponding with first user.
Wherein, business corresponding with first user for first user business in ranking sequence number be less than or equal to The business of the first numerical value.
The number of the business that step 409, classification information acquisition device are not zero according to the service traffics of each user Amount and the second pre-determined threshold are worth to second value.
Wherein, the quantity of the business that step 407 is not zero according to the service traffics of each user is preset with first Thresholding is worth to the quantity of the business that the first numerical value is not zero with step 409 according to the service traffics of each user With the second pre-determined threshold be worth to second value actually perform on there is no sequencing after, step 407 can To be and step 409 execution simultaneously.
Each business the owning in each user of step 410, classification information acquisition device according to each user Ranking sequence number in business obtains the ranking sequence number of each business and second is used between the first numerical value and second value Family, and the tag along sort information of second user is determined according to business corresponding with second user.
Wherein, business corresponding with second user for second user business in ranking sequence number the first numerical value with Business between second value, the tag along sort information of the user that will can be obtained afterwards is sent to strategy and meter Take rule functional equipment.
It should be noted that the explanation in the present embodiment with same steps in other embodiments is referred to other Description in embodiment, here is omitted.
The classification information acquisition methods that embodiments of the invention are provided, can obtain user in predetermined period Service traffics data, while treatment is ranked up to the service traffics data of user, and based on sequence treatment Result obtains the tag along sort information of user, so, can be based on the service traffics data of the user for obtaining Sequence result, marks the tag along sort information of user, and solving prior art can not be based on business Flow carries out the problem of user's classification, it is ensured that preferably realize subscriber policy distribution and Operator Specific Service management and control, Improve the experience effect of user.
Embodiments of the invention provide a kind of classification information acquisition device, and the device is applied to Fig. 1,2~5 correspondences Embodiment provide a kind of classification information acquisition methods in, shown in reference picture 6, the device includes:Obtain Unit 51 and processing unit 52, wherein:
Acquiring unit 51, the service traffics data for obtaining user in predetermined period.
Wherein, the service traffics data of user include the flow information of each business of user's application.
Processing unit 52, treatment is ranked up for the service traffics data to user, and based on sequence treatment Result obtain the tag along sort information of user.
The classification information acquisition device that embodiments of the invention are provided, can obtain user in predetermined period Service traffics data, while treatment is ranked up to the service traffics data of user, and based on sequence treatment Result obtains the tag along sort information of user, so, can be based on the service traffics data of the user for obtaining Sequence result, marks the tag along sort information of user, and solving prior art can not be based on business Flow carries out the problem of user's classification, it is ensured that preferably realize subscriber policy distribution and Operator Specific Service management and control, Improve the experience effect of user.
Specifically, shown in reference picture 7, acquiring unit 51 includes:First acquisition module 511 and the first treatment Module 512, wherein:
First acquisition module 511, the history service data on flows for obtaining user in predetermined period.
First processing module 512, integration treatment is carried out for the history service data on flows to user, according to Preset rules form customer flow matrix, and store in user behavior historical data base.
Specifically, shown in reference picture 8, processing unit 52 includes:Second acquisition module 521 and second processing Module 522, wherein:
Second acquisition module 521, for obtaining the in preset time period from user behavior historical data base One customer flow matrix.
Second acquisition module 521, is additionally operable to obtain each business of each user in first user traffic matrix Ranking sequence number in all business of each user.
Second processing module 522, for each business according to each user each user all business In ranking sequence number obtain the business information ranked the first in the business of each user, and used according to each respectively The business ranked the first in the business at family obtains the tag along sort information of each user.
Specific optional, shown in reference picture 9, processing unit 52 also includes:3rd acquisition module 523, system The meter processing module 525 of module 524 and the 3rd, wherein:
3rd acquisition module 523, for obtaining the in preset time period from user behavior historical data base One customer flow matrix.
3rd acquisition module 523, is additionally operable to obtain each business of each user in first user traffic matrix Ranking sequence number in all business of each user.
Statistical module 524, the service traffics for counting each user in first user traffic matrix are not zero Business quantity.
3rd processing module 525, for the quantity of business that is not zero according to the service traffics of each user and Ranking sequence number of each business of each user in all business of each user, obtains the contingency table of user Label information.
Specifically, the 3rd processing module 525 is specifically for performing following steps:
The quantity of the business that the service traffics according to each user are not zero is worth to first with the first pre-determined threshold Numerical value.
The ranking sequence number of each business according to each user in all business of each user obtains each industry The ranking sequence number of business is less than or equal to the first user of the first numerical value, and according to industry corresponding with first user Business determines the tag along sort information of first user.
Wherein, business corresponding with first user for first user business in ranking sequence number be less than or equal to The business of the first numerical value.
The quantity of the business that the service traffics according to each user are not zero and the second pre-determined threshold are worth to second Numerical value.
The ranking sequence number of each business according to each user in all business of each user obtains each industry The ranking sequence number of business second user between the first numerical value and second value, and according to corresponding with second user Business determines the tag along sort information of second user.
Wherein, business corresponding with second user for second user business in ranking sequence number the first numerical value with Business between second value.
It should be noted that the interaction in the present embodiment between unit is referred to Fig. 1,2~5 Interaction in a kind of classification information acquisition methods that corresponding embodiment is provided, here is omitted.
The classification information acquisition device that embodiments of the invention are provided, can obtain user in predetermined period Service traffics data, while treatment is ranked up to the service traffics data of user, and based on sequence treatment Result obtains the tag along sort information of user, so, can be based on the service traffics data of the user for obtaining Sequence result, marks the tag along sort information of user, and solving prior art can not be based on business Flow carries out the problem of user's classification, it is ensured that preferably realize subscriber policy distribution and Operator Specific Service management and control, Improve the experience effect of user.
In actual applications, the acquiring unit 51, processing unit 52, the first acquisition module 511, first Processing module 512, the second acquisition module 521, Second processing module 522, the 3rd acquisition module 523, system The meter processing module 525 of module 524 and the 3rd can be by the central processing unit in wireless data transmission equipment (Central Processing Unit, CPU), microprocessor (Micro Processor Unit, MPU), number Word signal processor (Digital Signal Processor, DSP) or field programmable gate array (Field Programmable Gate Array, FPGA) etc. realize.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or meter Calculation machine program product.Therefore, the present invention can using hardware embodiment, software implementation or combine software and The form of the embodiment of hardware aspect.And, the present invention can be used and wherein include calculating at one or more Computer-usable storage medium (the including but not limited to magnetic disk storage and optical storage of machine usable program code Device etc.) on implement computer program product form.
The present invention is with reference to method according to embodiments of the present invention, equipment (system) and computer program product Flow chart and/or block diagram describe.It should be understood that flow chart and/or side can be realized by computer program instructions The knot of flow in each flow and/or square frame and flow chart and/or block diagram and/or square frame in block diagram Close.Can provide these computer program instructions to all-purpose computer, special-purpose computer, Embedded Processor or The processor of other programmable data processing devices is producing a machine so that by computer or other can The instruction of the computing device of programming data processing equipment is produced for realizing in one flow of flow chart or multiple The device of the function of being specified in one square frame of flow and/or block diagram or multiple square frames.
These computer program instructions may be alternatively stored in can guide computer or other programmable data processing devices In the computer-readable memory for working in a specific way so that storage is in the computer-readable memory Instruction is produced includes the manufacture of command device, and the command device is realized in one flow of flow chart or multiple streams The function of being specified in one square frame of journey and/or block diagram or multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices, made Obtain and series of operation steps performed on computer or other programmable devices to produce computer implemented treatment, So as to the instruction performed on computer or other programmable devices is provided for realizing in one flow of flow chart Or specified in multiple one square frame of flow and/or block diagram or multiple square frames function the step of.
The above, only presently preferred embodiments of the present invention is not intended to limit protection model of the invention Enclose.

Claims (10)

1. a kind of classification information acquisition methods, it is characterised in that methods described includes:
Obtain the service traffics data of user in predetermined period;Wherein, the service traffics packet of the user Include the flow information of each business of user;
Service traffics data to the user are ranked up treatment, and the result based on the sequence treatment is obtained To the tag along sort information of the user.
2. method according to claim 1, it is characterised in that user in the acquisition predetermined period Service traffics data, including:
Obtain the history service data on flows of user in the predetermined period;
History service data on flows to the user carries out integration treatment, and forming user according to preset rules flows Moment matrix, and store in user behavior historical data base.
3. method according to claim 2, it is characterised in that the service traffics to the user Data are ranked up treatment, and the result based on the sequence treatment obtains the tag along sort information of the user, Including:
The customer flow matrix in preset time period is obtained from the user behavior historical data base;
Obtain each business of each user in the customer flow matrix in the preset time period it is described each Ranking sequence number in all business of user;
The ranking sequence number of each business according to each user in all business of each user is obtained The business information ranked the first in the business of each user, and respectively according to ranking in the business of each user First business obtains the tag along sort information of each user.
4. method according to claim 2, it is characterised in that the service traffics to the user Data are ranked up treatment, and the result based on the sequence treatment obtains the tag along sort information of the user, Including:
The customer flow matrix in preset time period is obtained from the user behavior historical data base;
Obtain each business of each user in the customer flow matrix in the preset time period it is described each Ranking sequence number in all business of user;
Count the industry that the service traffics of each user in the customer flow matrix in the preset time period are not zero The quantity of business;
Each of the quantity of the business that the service traffics according to each user are not zero and each user Ranking sequence number of the business in all business of each user, obtains the tag along sort information of the user.
5. method according to claim 4, it is characterised in that the industry of each user described in the basis The quantity of business and each business of each user the owning in each user that business flow is not zero Ranking sequence number in business, obtains the tag along sort information of the user, including:
The quantity of the business that the service traffics according to each user are not zero is worth to the first pre-determined threshold First numerical value;
The ranking sequence number of each business according to each user in all business of each user is obtained To each business ranking sequence number less than or equal to first numerical value first user, and according to it is described The corresponding business of first user determines the tag along sort information of the first user;Wherein, it is described with described The corresponding business of one user be the first user business in ranking sequence number be less than or equal to the first numerical value Business;
The quantity of the business that the service traffics according to each user are not zero and the second pre-determined threshold are worth to Second value;
The ranking sequence number of each business according to each user in all business of each user is obtained To each business ranking sequence number between first numerical value and the second value second user, and according to Business corresponding with the second user determines the tag along sort information of the second user;Wherein, it is described with The corresponding business of the second user be the second user business in ranking sequence number first numerical value with Business between the second value.
6. a kind of classification information acquisition device, it is characterised in that described device includes:Acquiring unit and treatment Unit, wherein:
The acquiring unit, the service traffics data for obtaining user in predetermined period;Wherein, the use The service traffics data at family include the flow information of each business of user;
The processing unit, treatment is ranked up for the service traffics data to the user, and based on institute The result for stating sequence treatment obtains the tag along sort information of the user.
7. device according to claim 6, it is characterised in that the acquiring unit includes:First obtains Modulus block and first processing module, wherein:
First acquisition module, the history service data on flows for obtaining user in the predetermined period;
The first processing module, integration treatment is carried out for the history service data on flows to the user, Customer flow matrix is formed according to preset rules, and is stored in user behavior historical data base.
8. device according to claim 7, it is characterised in that the processing unit includes:Second obtains Modulus block and Second processing module, wherein:
Second acquisition module, for being obtained in preset time period from the user behavior historical data base First user traffic matrix;
Second acquisition module, is additionally operable to obtain each of each user in the first user traffic matrix Ranking sequence number of the business in all business of each user;
The Second processing module, for according to each business of each user each user's Ranking sequence number in all business obtains the business information ranked the first in the business of each user, and root respectively The tag along sort information of each user is obtained according to the business ranked the first in the business of each user.
9. device according to claim 7, it is characterised in that the processing unit also includes:3rd Acquisition module, statistical module and the 3rd processing module, wherein:
3rd acquisition module, for being obtained in preset time period from the user behavior historical data base First user traffic matrix;
3rd acquisition module, is additionally operable to obtain each of each user in the first user traffic matrix Ranking sequence number of the business in all business of each user;
The statistical module, for count each user in the first user traffic matrix service traffics not It is the quantity of zero business;
3rd processing module, the number of the business for being not zero according to the service traffics of each user Ranking sequence number of each business of amount and each user in all business of each user, obtains The tag along sort information of the user.
10. device according to claim 9, it is characterised in that the 3rd processing module is specifically used In:
The quantity of the business that the service traffics according to each user are not zero is worth to the first pre-determined threshold First numerical value;
The ranking sequence number of each business according to each user in all business of each user is obtained To each business ranking sequence number less than or equal to first numerical value first user, and according to it is described The corresponding business of first user determines the tag along sort information of the first user;Wherein, it is described with described The corresponding business of one user be the first user business in ranking sequence number be less than or equal to the first numerical value Business;
The quantity of the business that the service traffics according to each user are not zero and the second pre-determined threshold are worth to Second value;
The ranking sequence number of each business according to each user in all business of each user is obtained To each business ranking sequence number between first numerical value and the second value second user, and according to Business corresponding with the second user determines the tag along sort information of the second user;Wherein, it is described with The corresponding business of the second user be the second user business in ranking sequence number first numerical value with Business between the second value.
CN201510959173.0A 2015-12-18 2015-12-18 A kind of classification information acquisition methods and device Pending CN106897960A (en)

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Application publication date: 20170627