CN102523274A - Core network side based system and method for initiatively pushing wireless personalized accurate information - Google Patents
Core network side based system and method for initiatively pushing wireless personalized accurate information Download PDFInfo
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Abstract
The application provides a core network side based system and a core network side based method for initiatively pushing wireless personalized accurate information. The core network side based method for initiatively pushing the wireless personalized accurate information comprises the following steps: step S11, receiving a 3G (the third generation telecommunication) wireless network connection request submitted by a user, wherein the 3G wireless network connection request comprises the user identity information; step S12, judging that whether a personalized information record which corresponds to the user identity information exists or not, and executing the step S13 if the personalized information record which corresponds to the user identity information exists; step S13, judging that whether the personalized information record meets the preset rules, and executing the step S14 if the personalized information record meets the preset rules; and step S14, pushing personalized webpages to the user according to the personalized information record. Accurate personalized services can be provided for the user, the user can use and operate the 3G service more easily, and less flow can be used.
Description
Technical field
The application relates to the technical field of mobile communication; Particularly relate to initiatively supplying system of the accurate information of a kind of wireless personalization based on core-network side; The accurate information of a kind of wireless personalization based on core-network side is method for pushing initiatively; And the accurate information of a kind of wireless personalization based on core-network side is pusher initiatively.
Background technology
People are promoting 3G mobile network's fast development to the instantaneity and personalized demand of information.Yet the application of wireless 3G and the application of the Internet have huge difference:
One of which, terminal type variation, and the terminal display size is far smaller than internet terminal (PC etc.), and the few of ancillary hardware of the use of wireless terminal (keyboard, mouse etc.), the operation ease for use is nothing like the Internet;
Its two, the Internet is very universal, the expense of fixed network adopts the mode of monthly payment more, so people can not take notice of very much the consumption of flow, but the 3G wireless network just rises, when the network hardware cost of operator has caused getting online without being tethered to a cable to the concern of flow.
The experience of using for the wireless 3G that promotes the user, in the prior art, each domestic mobile communication carrier 3G wireless portal separately that released one after another; Like " fertile door ", " mobile dream network " that move of UNICOM, " day wing space " of telecommunications, yet this type of wireless portal is the popularized service of releasing to all mobile subscribers; Although personalized services such as user's registering service, querying individual tariff information are provided; Owing to need progressively page by page face ground to be selected and input by the user, with search with search its required customized information, operation is complicacy very; Loaded down with trivial details, and very expend flow.
Therefore; Need the urgent technical problem that solves of those skilled in the art to be exactly at present: to propose initiatively push-mechanism of the accurate information of a kind of wireless personalization based on core-network side; In order to personalized service accurately to be provided to the user; And the professional ease for operation of using of the 3G that promotes the user, reduce the use of flow.
Summary of the invention
The application's purpose is, initiatively method for pushing of the accurate information of a kind of wireless personalization based on core-network side is provided, and to the user personalized service accurately is provided, and promotes user's the professional ease for operation of using of 3G, reduces the use of flow.
Accordingly; The application also provides initiatively supplying system of the accurate information of a kind of wireless personalization based on core-network side; And the accurate information of a kind of wireless personalization based on core-network side is pusher initiatively, in order to guarantee realization and the application of said method in reality.
In order to address the above problem; The application discloses initiatively supplying system of the accurate information of a kind of wireless personalization based on core-network side; Comprise that lift-launch accepts the equipment of the core network of wireless user's solicited message on core net; Said equipment of the core network is analyzed navigation module with the beam split of wireless user's solicited message or mirror image to the User Recognition on the core net, and said core network sends to lift-launch ID identification can be provided and accurately discern, provide accurate personal page and user individual revised user's precision individual character WEB server of preserving on the internet with user's request.
Preferably, said User Recognition is shared to be equipped with on the navigation module user is carried out user behavior analysis engine and the User Recognition engine that behavioural analysis and individual business excavate.
Preferably, said User Recognition is analyzed the data of navigation module after with Accurate Analysis and is fed back to core network device, through core network device the user is accurately visited the channeling conduct of precision homepage.
The application embodiment also discloses initiatively method for pushing of the accurate information of a kind of wireless personalization based on core-network side, comprising:
The 3G wireless network connection request that step S11, reception user submit to comprises subscriber identity information in the said connection request;
Step S12, judge whether to exist the corresponding customized information record of said subscriber identity information; If, execution in step S13 then;
Step S13, judge whether said customized information record satisfies presetting rule, if, execution in step S14 then;
Step S14, according to said customized information record, to this user's pushing personalized page.
Preferably, described method also comprises:
Step S15, if there is not the corresponding customized information record of said subscriber identity information, then generate the user when the corresponding IP information of time connection request, and set up the related of said subscriber identity information and IP information;
Step S16, collect the operation information of the 3G wireless network that the user submits to based on current IP information, generate corresponding customized information record; And set up the related of said subscriber identity information and customized information record; Change step S13.
Preferably, described method also comprises:
If said customized information record does not satisfy presetting rule, then return step S16.
Preferably; Said customized information record comprises said user's 3G wireless network operations behavioural information; And/or to the network data message that said user's 3G wireless network operations generates, the said step of judging whether the customized information record satisfies presetting rule comprises:
3G wireless network operations behavioural information to said user is carried out behavioural analysis, and/or, the said network data message that generates to user's 3G wireless network operations is carried out data mining, obtain the characteristic parameter of user behavior;
Whether the characteristic parameter of judging said user behavior satisfies predetermined threshold value.
Preferably, said according to the customized information record, comprise to the step of this user's pushing personalized page:
Generate active user's personalized identification according to said customized information record;
Generate the page navigation that matees according to said personalized identification, push corresponding personal page with the mode that is redirected to the user by said page navigation.
Preferably, described method also comprises:
Step S17, the modification of reception user on corresponding personal page, and preserve said modification.
Preferably, said step S11, step S12, step S13, step S15, step S16 carry out in core-network side; Said step S14, step S17 be the side execution in the Internet.
The application embodiment also discloses initiatively pusher of the accurate information of a kind of wireless personalization based on core-network side, comprising:
Link block is used to receive the 3G wireless network connection request that the user submits to, comprises subscriber identity information in the said connection request;
User individual writes down judge module, is used to judge whether to exist the customized information record of said subscriber identity information correspondence; If then call the presetting rule judge module;
The presetting rule judge module is used to judge whether said customized information record satisfies presetting rule; If then call the pushing personalized pages module;
The pushing personalized pages module is used for according to said customized information record, to this user's pushing personalized page.
Preferably, described device also comprises:
The IP information generating module is used for when not having the corresponding customized information record of said subscriber identity information, generating the user when the corresponding IP information of time connection request, and sets up the related of said subscriber identity information and IP information;
The customized information logging modle is used to collect the operation information of user based on the 3G wireless network of current IP information submission, generates corresponding customized information record; And set up the related of said subscriber identity information and customized information record; Said customized information logging modle links to each other with the presetting rule judge module.
Preferably, do not satisfy presetting rule, then call the customized information logging modle if said presetting rule judge module is judged said customized information record.
Preferably, said customized information record comprises said user's 3G wireless network operations behavioural information, and/or to the network data message that said user's 3G wireless network operations generates, said presetting rule judge module comprises:
The user behavior characteristic parameter obtains submodule; Be used for said user's 3G wireless network operations behavioural information is carried out behavioural analysis; And/or, the said network data message that generates to user's 3G wireless network operations is carried out data mining, obtain the characteristic parameter of user behavior;
The threshold decision submodule is used to judge whether the characteristic parameter of said user behavior satisfies predetermined threshold value.
Preferably, said pushing personalized pages module comprises:
Personalized identification generates submodule, is used for generating according to said customized information record active user's personalized identification;
The page reorientation submodule is used for generating the page navigation that matees according to said personalized identification, pushes corresponding personal page with the mode that is redirected to the user by said page navigation.
Preferably, said link block, user individual record judge module, presetting rule judge module, IP information generating module, customized information logging modle are positioned at core-network side; Said pushing personalized pages module is positioned at the Internet side.
Compared with prior art, the application comprises following advantage:
Through core-network side the user is discerned, then the user is carried out long-term network behavior and analyze, excavate user's hobby and personalized custom; When the user uses the 3G wireless network; To the user accurate customized information homepage is provided,, promotes user's the professional ease for operation of using of 3G through the scheduling of accurate personal page; And reduce the user to the search of customized information and search, thereby reduce the use of customer flow.
Description of drawings
Fig. 1 is an initiatively supplying system sketch map of the accurate information of the wireless personalization based on core-network side according to the invention;
Fig. 2 is an initiatively supplying system flow chart of the accurate information of the wireless personalization based on core-network side according to the invention;
Fig. 3 is the initiatively flow chart of steps of method for pushing embodiment 1 of the accurate information of a kind of wireless personalization based on core-network side of the application;
Fig. 4 is the flow chart of a kind of user behavior analysis method example of the application;
Fig. 5 is the dendrogram model sketch map according to network user's sorting technique of the application first embodiment;
Fig. 6 is the flow chart of the application's another kind of user behavior analysis method example;
Fig. 7 is the initiatively flow chart of steps of method for pushing embodiment 2 of the accurate information of a kind of wireless personalization based on core-network side of the application;
Fig. 8 is the initiatively structured flowchart of pusher embodiment of the accurate information of a kind of wireless personalization based on core-network side of the application.
Embodiment
For above-mentioned purpose, the feature and advantage that make the application can be more obviously understandable, the application is done further detailed explanation below in conjunction with accompanying drawing and embodiment.
Combine Figure of description 1 and Fig. 2 to introduce initiatively supplying system embodiment of the accurate information of the described wireless personalization of the application: to comprise that lift-launch accepts the equipment of the core network of wireless user's solicited message on core net based on core-network side at present; Said equipment of the core network is analyzed navigation module with beam split of wireless user's solicited message or mirror image to the User Recognition on the core net, and said beam split or mirror image are exactly portion to user's internet information mirror image (duplicating) to analyze navigation module to User Recognition.Said core network sends to lift-launch ID identification can be provided and accurately discern, provide accurate personal page and user individual revised user's precision individual character WEB server of preserving on the internet with user search, visit, download request.
Said User Recognition is shared to be equipped with on the navigation module user is carried out user behavior analysis engine and the User Recognition engine that behavioural analysis and individual business excavate.
Said User Recognition is analyzed the data of navigation module after with Accurate Analysis and is fed back to core network device, through core network device the user is accurately visited the channeling conduct of precision homepage.
The application system carries out uniqueness identification through the flow beam split/mirror image platform environment of core-network side to the user; Through the browsing of user, search for, behavior such as download, user profile is carried out data mining, draw user's accurate information and personalized potential demand; Through core-network side, the user is carried out accurate information and the scheduling of personalized navigation Service; According to the user modification of accurate personalized navigation page is preserved; When the user reuses when wireless, the user is carried out accurate customized information scheduling.
The application's system business sequence:
1, the wireless user verifies using the wireless service authority, carries the unique ID of user such as phone number, IMEI, IMSI in these information.
2, equipment of the core network is analyzed navigation module with these information beam split/mirror images to User Recognition, and User Recognition is analyzed navigation module and according to this information the user carried out unique identification.
3, the user uses wireless service, searches for, access to content or download.
4, core network data message beam split/mirror image is analyzed navigation module to User Recognition, and User Recognition is analyzed navigation module the user is carried out behavioural analysis and individual business excavation.
When 5, the user used wireless service, core net was analyzed navigation module with packet beam split/mirror image to User Recognition, if reach accurate personal page schedulable condition, the user was carried out accurate personal page scheduling guiding (use redirecting technique).
6, the user visits accurate personal page according to the guiding message, and precisely the personal page basis is analyzed the user's unique identification and accurate personalized identification that carries in the privately owned agreement protocol of navigation module with User Recognition, to the user accurate personal page is provided.
7, the user may carry out custom-modification to accurate personal page, and precisely personal page will be preserved these modifications, during next user capture, will preserve the accurate personal page that comes into force to showing to revise.
One of core idea of the application is, through core-network side the user is discerned, and then the long-term network behavior of user is analyzed; Excavate user's hobby and personalized custom, when the user uses the 3G wireless network, accurate customized information homepage is provided the user; Scheduling through accurate personal page; Promote user's the professional ease for operation of using of 3G, and reduce the user to the search of customized information and search, thereby reduce the use of customer flow.
With reference to Fig. 3, the flow chart of steps that it shows the application's the accurate information active of a kind of wireless personalization based on core-network side method for pushing embodiment 1 specifically can comprise the steps:
The 3G wireless network connection request that step 301, reception user submit to comprises subscriber identity information in the said connection request;
In concrete the application; When user capture 3G wireless network; 3G wireless network connection request can be submitted to, user's identity information can be carried in the message of described request, like phone number, IMEI (International Mobile Equipment Identity; The International Mobile Equipment Identity sign indicating number), IMSI user's unique identification informations such as (International Mobile SubscriberIdentity, international mobile subscriber identitys).
For the each 3G wireless network connection request of submitting to of user, all can generate the temporary IP information of a correspondence, the network operation of user after the 3G wireless network connects all can carry this temporary IP information.Through setting up the related of said subscriber identity information and this temporary IP information, as said subscriber identity information and this temporary IP information are bound, then can find corresponding subscriber identity information, to realize unique identification to the user through this temporary IP information.
The user uses wireless service after connecting the 3G wireless network, as search for, the operation of 3G wireless networks such as access to content or download, all can carry said IP information.In reality, customized information record sheet that can be corresponding according to said subscriber identity information and IP information creating, in this table according to the corresponding customized information of operation information real time record of user's 3G wireless network.
In a kind of preferred embodiment of the application, said customized information record can comprise: said user's 3G wireless network operations behavioural information, and/or, the network data message that generates to said user's 3G wireless network operations.Wherein, said user's 3G wireless network operations behavioural information may further include, the behavioural information of user capture webpage, the behavioural information of user search, the behavioural information that the user clicks etc.
In a kind of preferred embodiment of the application, can judge with substep S52 whether said customized information record satisfies presetting rule through following substep 51:
Substep S51, said user's 3G wireless network operations behavioural information is carried out behavioural analysis, and/or, the said network data message that generates to user's 3G wireless network operations is carried out data mining, obtain the characteristic parameter of user behavior;
For making those skilled in the art understand the application better, two kinds of examples that user's 3G wireless network operations behavioural information is carried out behavioural analysis are provided below:
Example 1:
With reference to Fig. 4, the flow process that it shows a kind of user behavior analysis method example of the application specifically can may further comprise the steps:
Based on the webpage of the first setting quantity, come to confirm in advance that second sets the webpage classification of quantity.Wherein, Each webpage classification is made up of a plurality of themes, and for example, the webpage classification is that social network sites can be expressed as " social network sites: campus, activity, tourism "; Wherein, each theme that " campus ", " activity ", " tourism " are social network sites for affiliated webpage classification.At first with first set quantity webpage carry out subject classification, the webpage classification that is associated with theme of basis is confirmed the webpage classification under the webpage of the first setting quantity then.For example, everybody nets affiliated theme as " campus ", and " campus " has relevance with social network sites, then can everybody the webpage classification of net be confirmed as social network sites.
Particularly, can carry out the manual sort to the webpage of setting quantity (setting quantity), for example corresponding to first; Can carry out the manual sort to several ten thousand in existing 1,000,000 webpages or a hundreds of thousands typical webpage; Obtain the webpage classification, for example, Jingdone district net attribute is an e-commerce website; Everybody nets attribute is social network sites, and U.S. group net is a group buying websites.
The webpage that can also the applying web page automatic classification technology will set quantity is classified and is obtained Web page classifying.For example applied statistics study method through analyzing the webpage through the manual sort, is therefrom excavated the contact between keyword and the class; Utilize the contact between keyword and the class again; Webpage to the first setting quantity is classified, and this statistical learning method is a prior art, repeats no more at this.
Particularly, can obtain user's network behavior earlier, user's network behavior is carried out preliminary treatment, to obtain user's behavioural characteristic vector.
Preprocessing process is the basis of whole network user's classification; Generally comprise service recorder preliminary treatment, content information preliminary treatment and structural information preliminary treatment; Through the user network behavior that is obtained being carried out preliminary treatment, being removed redundant information, fuzzy information and meaningless information, accurately characterized the data of user network behavior.
In the application embodiment, the network behavior that is used to generate user's behavioural characteristic vector can comprise access to netwoks behavior and search behavior.For example; The network address that can the access to netwoks behavior be visited is (among the application; With in IP address, the website/English domain name etc. is referred to as network address) and the related vocabulary such as searching key word of search behavior confirm as the element of user's behavioural characteristic vector; For example the user has carried out the visit behavior of Jingdone district net, everybody net and U.S. group net, then waits vocabulary to confirm as user's the vectorial element of behavioural characteristic the vocabulary that is comprised in the network address of being visited " Jingdone district ", " everybody " and " U.S. group "; The searching key word that user's search behavior is related, for example the element of user's behavioural characteristic vector confirmed as in " Jingdone district ", " everybody " and vocabulary such as " U.S. groups ".
Can user's behavioural characteristic vector W be represented as follows:
W
UserId＝{w
1，w
2，...，w
n，...}
Wherein, U
SerIdIn order to identifying user, w
nBe according to user's access to netwoks behavior or n the characteristic (also claiming vocabulary) that search behavior generated, comprise user's access to netwoks behavior and search behavior.
For example, certain user capture 3 network address and searched for 5 keywords, then in this user capture under the situation of 3 network address, these 3 network address are represented 3 characteristics (vocabulary) respectively, then can use w about the user behavior characteristic of this user's access to netwoks behavior
1, w
2, w
3Represent, wherein, w
1, w
2, w
3The number of times of representing these 3 network address of user capture respectively; And this user has also searched for 5 keywords, then under the situation of 5 keywords of this user search, can be with these 5 keywords as 5 characteristics, and then can w about the user behavior characteristic of this user's search behavior
3+1, w
3+2..., w
3+5Represent, wherein w
3+1, w
3+2..., w
3+5Represent the user respectively based on the 1st, 2 ..., 5 number of times that keyword is searched for, based on the above, then this user's user behavior characteristic vector W can be expressed as W
UserId={ w
1, w
2, w
3, w
3+1, w
3+2..., w
3+5.
Theme as the set through resulting above characteristic of cluster or tax power characteristic, for example, theme can be expressed as " 0.1 school bag; 0.2 school uniform; 0.3 morning exercises; 0.4 homework book "; wherein " school bag ", " school uniform ", " morning exercises ", " homework book " they are characteristic; and the coefficient of their fronts is a weight, is same theme with similar characteristic aggregation, the theme that will include above-mentioned characteristic is set at the campus; help user's network behavior custom is analyzed, thereby is convenient to reach the purpose that it is classified.
Preferably, topic model capable of using (Topic Model) carries out cluster.With each user's behavioural characteristic vector characteristic vector as characteristic layer in the topic model; To make up user's topic model (being called for short the UTM model); And utilizing this user's topic model to realize the cluster that the user is carried out, user's topic model of present embodiment carries out modeling through the behavioural characteristic vector that adopts Dirichlet to distribute to the user.
Fig. 5 is the dendrogram model example according to network user's sorting technique of the application first embodiment.As shown in Figure 5, the graph model of cluster has hierarchical structure clearly, and each layer is characterized by relevant parameters or stochastic variable, comprises characteristic layer, subject layer and client layer three-decker.The implicit variable of Fig. 2 hollow core point expression, solid dot is represented parameter, arrow is represented dependence.User's topic model is to be defined by the parameter alpha of client layer and parameter beta, and wherein, α has reflected in user's set implicit intersubjective strong and weak relatively; The probability distribution of β reflection all implicit themes self; θ representes the proportion of each the implicit theme among the user, and z representes that the user is distributed in the implicit theme proportion on each characteristic, and w is user's a characteristic vector representation; P representes the quantity that the user gathers, and n representes the quantity of the contained characteristic of user.Large rectangle representes that each the user d that from Dirichlet distributes, concentrates for the user extracts theme distribution θ repeatedly; Little rectangle is represented from theme distributes, to extract characteristic w repeatedly.
For example, a given user gathers D, has comprised P user, and each user d comprises a characteristic sequence { w
1, w
2..., w
n.In the corresponding UTM model of set D; The theme number is set to K; In order to make the UTM model be easy to handle the new user outside the known users; When using the UTM model, the UTM model carries out the processing of prior probability hypothesis earlier, then a user's behavioural characteristic vector is carried out cluster and can be expressed as following steps:
1) from the Dirichlet distribution p (θ | be that each user d extracts with multinomial distribution θ α)
dThe theme of expression, wherein each item of this multinomial distribution is the multinomial distribution on the feature space, particularly, according to θ～Dir (α), gathers each user among the D to the user, from Dirichlet distributes, randomly draws the theme distribution θ of a k dimension
d, it is expressed as the mixing of each theme ratio of each user, theme distribution θ
dIn the element of each dimension be designated as θ
d j, it is expressed as the probability that user d belongs to j theme, wherein, p (θ | α) be shown below,
Wherein, α is the Dirichlet parameter of a K dimension, α
iBe ultra parameter, θ is a parameter vector, and Γ is the gamma function of standard, and α reflection user gathers the power relatively between each theme among the D, and θ represents the probability of each each theme of user's subordinate.
2) being that each subject extraction proper polynomial distributes from Dirichlet priori β, particularly, is that each user d extracts each proper polynomial distribution from Dirichlet priori β based on the particular topic ratio, to obtain p (w
n| θ
d, β).Wherein, β representes to generate under certain theme condition the probability of certain characteristic (vocabulary), and β is the matrix of a K * V.
3) gather among the D for the user that all characteristic w operate at first selected theme z as follows among all user d and user
i, z
iObey Multinomial (θ
d) multinomial distribute, select characteristic w then
i, at z
iMultinomial under the condition distributes, i characteristic w among each user d
iCan be shown below,
Wherein, z
iBe potential theme variable, show i characteristic w
iTake from this theme, P (w
i| z
i=j) be characteristic w
iThe probability that belongs to theme j, P (z
i=j) j that is the theme belongs to active user's probability.Then D user of T theme formation representes with W uniqueness characteristic; Make
and represent for theme j; The multinomial of characteristic w distributes; Make
and represent for user d; Multinomial distribution on K theme; Therefore the probability of characteristic w is shown below in user d
4) extrapolate P (w|d) through EM algorithm or Gibbs sampling, try to achieve the probability θ that d user belongs to j theme indirectly based on P (w|d) then
d jTo make up user-theme matrix M.
Need to prove, owing to directly use the EM algorithm to estimate θ
dThe problem that can have local extremum is therefore at first for given observed value characteristic w
i, utilize the Gibbs sampling to get characteristic (vocabulary) at theme z
iOn posterior probability P (w
i| z
i) approximation.
Particularly, in the Gibbs sampling, the theme of earlier fixing other speech distributes, and estimates current characteristic w then
iGive the probability P (z of various themes
i=j), that is the value of P (w|d), according to the value of gained P (w|d) indirect obtain θ
dValue.Wherein, theme distribution θ
dIn the element of each dimension be designated as θ
d j, it is expressed as the probability that user d belongs to j theme, each user that the user is gathered among the D carries out above-mentioned 1) to 4) operation, can obtain each user's theme distribution θ
d, based on resulting theme distribution θ
dMake up user-theme matrix M.
More specifically,, can obtain the probability that the user belongs to each theme, confirm the webpage classification under the user according to these probable values then based on user-theme matrix M.Confirm that mode is varied; For example, can preestablish each theme and other correlation degree of each web page class, then; With making that webpage classification long-pending and maximum of probability and other correlation degree of web page class of each theme under the user, as the webpage classification under the user.
For example, be social network sites for the webpage classification, preestablishing other correlation degree of each theme and web page class is " social network sites: 0.5 campus; 0.3 it is movable; 0.2 tourism ", be e-commerce website for the webpage classification, preestablish other correlation degree of each theme and web page class and be " e-commerce website: 0.5 transaction; 0.3 company; 0.2 electronics ", the coefficient of each theme front is the value of each theme and affiliated other correlation degree of web page class, supposes that the probability that certain user d according to step 130 gained belongs to each theme is " 0.3 campus; 0.2 it is movable; 0.1 tourism; 0.1 transaction; 0.1 company; 0.2 electronics "; then with the probability of each theme under this user with preestablish each theme under other correlation degree of web page class multiply each other; the actual subject probability of each theme that obtains to be associated with each webpage classification; with the actual subject probability of affiliated other each theme of web page class carry out the addition gained and as final result, the final result of above-mentioned example is " 0.23 social network sites; 0.12 e-commerce website "; according to the long-pending of gained and the value of maximum, can know that the classification under this user is a social network sites, this user is movable interested for the social interaction class; carrying out targeted ads when sending, can send the targeted ads that be similar to tourism, lie fallow to this type of user.
Example 2:
With reference to Fig. 6, the flow process that it shows the application's another kind of user behavior analysis method example specifically can may further comprise the steps:
In this example, in substep 140, specifically comprise substep 141 and 142.
Be associated particularly, in the webpage through the setting quantity of statistics in the abovementioned steps 110, and be classified to other webpage quantity of k web page class t ' with j theme
J, kConfirm the capable k column element of the j value of theme-classification transformation matrix T, j is the natural number smaller or equal to theme quantity, and k is the natural number smaller or equal to webpage categorical measure (promptly second setting quantity).The element assignment of for example can be with the j of theme-classification transformation matrix T capable k row is t
J, k=t '
J, k/ total, wherein, total is the quantity of the webpage of the setting quantity (promptly first setting quantity) in the abovementioned steps 110.In brief, make up said theme-classification transformation matrix, its element value characterizes theme and other degree of association of web page class.
Particularly, user-theme matrix M and theme-classification transformation matrix T are multiplied each other obtain user-classification matrix N.Wherein, the capable k row of the d N of user-classification matrix N
D, kRepresent that d user belongs to the probability of k classification; That is the degree of association of d user on k classification; Confirm the webpage classification under the user according to the size of the value of the degree of association of classification, for example can will confirm as the webpage classification under this user with the maximum one or more webpage classification of user's degree of association based on said user-classification matrix.
For example, suppose according to step 130 to obtain user-theme matrix that matrix is as follows about four users,
Wherein, the row vector is represented four users such as user 1, user 2, user 3, user 4 respectively, and column vector is represented six themes such as campus, activity, tourism, transaction, company, electronics respectively.
For the webpage classification is social network sites, preestablishes with web page class " the social network sites: campus that themes as that other is associated; Movable; Tourism ", be e-commerce website for the webpage classification, preestablish with web page class " the e-commerce website: transaction that themes as that other is associated; Company; Electronics ".
According to the webpage classification of the webpage of setting quantity in the substep 110 related one or more themes, through in the webpage of adding up the setting quantity (setting quantity) in the aforementioned substep 110 corresponding to first, be associated with j theme and be classified to other webpage quantity of k web page class t '
J, kConfirm theme-classification transformation matrix; The webpage of supposing the setting quantity in the substep 110 is 8; A webpage numerical representation that then belongs to each theme is respectively " 2 campuses, 2 activities, 2 tourisms, 2 transaction, 0 company, 0 electronics "; Can construct theme-classification transformation matrix according to The above results, as follows
Wherein, the row vector is represented six themes such as campus, activity, tourism, transaction, company, electronics respectively, and column vector is represented social network sites and two webpage classifications of e-commerce website respectively.
Gained user-theme matrix and theme-analogy transformation matrix multiplied each other obtains user-classification matrix, as follows,
Wherein, the row vector is represented four users such as user 1, user 2, user 3, user 4 respectively, and column vector is represented social network sites and two webpage classifications of e-commerce website respectively.The capable k row of the d N of user-classification matrix
D, kRepresent that d user belongs to the probability of k classification; That is the degree of association of d user on k classification, confirm the webpage classification under the user according to the size of the value of the degree of association of classification, according to above-mentioned matrix; Can know that user 1, user 2 and user's 3 said classifications are social network sites; Classification is an e-commerce website under the user 4, therefore when sending targeted ads, can send targetedly according to the webpage classification under the user.
It should be noted that above-mentioned example is merely a simple example, described content only is the execution mode that adopts for the ease of understanding the application, is not in order to limit the application.Because popularizing of the Internet; Number of users in the Internet is with 10,000,000,000 notes, and the application's method is classified through no measure of supervision, and is irrelevant with number of users; Can handle the behavior of large-scale consumer; The application's method can cover comprehensive user behavior on less calculation cost, thereby can utilize user's information fully and a large amount of users is classified, and makes full use of the interest of the abundant information consumer positioning that mass data contains.
In the application's another kind of preferred embodiment; Said network data message can comprise user's 3G wireless network operations information, and information such as the webpage of browsing like the user, search is through carrying out data mining to these network data messages; Also can obtain the characteristic parameter of user behavior; In concrete the realization, the characteristic parameter of said user behavior can be the frequency of user's generic operation, also can be for the rank of user capture content etc.For example, carry out data mining, obtain user's concrete behavior information through the network data message, such as the Type of website that the user browses, the content of interest that the user clicks in webpage etc., the user behavior characteristic parameter of acquisition is user's a frequency of operation.
Certainly, those skilled in the art adopt any existing technology of carrying out the technology of user behavior analysis or adopting any user behavior analysis through data mining, and the characteristic parameter that obtains any user behavior all is feasible, and the application does not limit this.
Substep S52, judge whether the characteristic parameter of said user behavior satisfies predetermined threshold value.
Wherein, Said predetermined threshold value can be provided with arbitrarily according to actual conditions by those skilled in the art; Such as; It is 20 times to the threshold value of the frequency of operation of certain type website that the user is set, in case analyze obtain the user to the frequency of operation (user behavior characteristic parameter) of the website of this type more than or equal to 20 times, consumer positioning behavior that can triggering following is operated with navigation scheduling.Or as; It is the 1st to the access times rank of certain content page that the user is set; Then obtain the clicking operation (user behavior characteristic parameter) of user to the page of various dissimilar contents; And carry out rank by number of clicks, obtain the page info of the highest corresponding types content of number of clicks after, consumer positioning behavior that can triggering following is operated with navigation scheduling.
In a kind of preferred embodiment of the application, said step 306 specifically can comprise following substep:
Substep S61, generate active user's personalized identification according to said customized information record;
Substep S62, generate the page navigation of coupling, push corresponding personal page with the mode that is redirected to the user by said page navigation according to said personalized identification.
When said customized information record satisfies presetting rule, then can form user's personalized identification, said personalized identification can be paid close attention to for the user who the customized information record is analyzed acquisition wants dot information, the i.e. main points of user individual behavior.According to user's personalized behavior,, be the personal page that meets said personalized behavior to customization then for the user formulates personalized navigation.After this visit the 3G wireless network this user,, then transmit personalized navigation, promptly the user is carried out accurate personal page scheduling guiding to this user as long as its personalized record satisfies presetting rule.
In concrete reality; Can adopt redirecting technique that the user is carried out accurate personal page scheduling guiding; Be redirected promptly again the user to be directed to corresponding personal page and to conduct interviews, be about to personal page and be redirected, accurate personal page is provided to be embodied as the user to the user.
With reference to Fig. 7, the flow chart of steps that it shows the application's the accurate information active of a kind of wireless personalization based on core-network side method for pushing embodiment 2 specifically can comprise the steps:
If not, then execution in step 603 and step 604;
If then execution in step 605;
In the application embodiment, said the Internet can comprise mobile Internet (comprising the 3G wireless network); Said core net is with service supplier and Access Network, and perhaps, the network with Access Network and other Access Networks link together typically refers to the network portion except that the Access Network and the local network of users.Simple some is said, can be divided into three parts to the mobile network, base station sub-system, network subsystem and system support partly such as safety management etc. these.Core net partly is exactly to be positioned at network subsystem, and the main effect of core net is routed to call request or request of data that the A mouth comes up on the various network.What mainly relate to call out continues, charges, mobile management, and supplementary service realizes that aspect body supports such as intelligent trigger are at switch.As for soft switch two notions are clearly arranged then, control separates with carrying, and control channel separates with data channel.Core net is exactly it from it is stipulated in the agreement that to the core exchange or calls out the network element of routing function, generally all is the same for the 2G/3G core net, at the R4 framework such as MSC SERVER MGW; HLR, VLR, EIR; AUC etc., main effect is whole call signaling control and carries foundation.Say from application point of view, select agreement, the network that provides the user to connect through core net when core net promptly refers to SCN subscriber connection network.
In reality, the user may carry out custom-modification to personal page, uses present embodiment, and side will be preserved the modification of user to said personal page in the Internet, during next user capture, will show the personal page that modification comes into force to the user.
Need to prove; For aforesaid method embodiment, for simple description, so it all is expressed as a series of combination of actions; But those skilled in the art should know; The application does not receive the restriction of described action along pagination, because according to the application, some step can adopt other perhaps to carry out simultaneously along pagination.Secondly, those skilled in the art also should know, the embodiment described in the specification all belongs to preferred embodiment, and related action and module might not be that the application is necessary.
Moreover above-mentioned each method embodiment all adopts the mode of going forward one by one to describe, and what each embodiment stressed all is and the difference of other embodiment that identical similar part is mutually referring to getting final product between each embodiment.
With reference to Fig. 8, the structured flowchart that it shows the application's the accurate information active of a kind of wireless personalization based on core-network side pusher embodiment specifically can comprise with lower module:
User individual writes down judge module 702, is used to judge whether to exist the customized information record of said subscriber identity information correspondence;
If not, then call IP information generating module 703 and customized information logging modle 704;
If then call presetting rule judge module 705;
IP information generating module 703 is used for when not having the corresponding customized information record of said subscriber identity information, generating the user when the corresponding IP information of time connection request, and sets up the related of said subscriber identity information and IP information;
Customized information logging modle 704 is used to collect the operation information of user based on the 3G wireless network of current IP information submission, generates corresponding customized information record; And set up the related of said subscriber identity information and customized information record; Said customized information logging modle 704 links to each other 705 with the presetting rule judge module.
Presetting rule judge module 705 is used to judge whether said customized information record satisfies presetting rule; If not, then return customized information logging modle 704; If then call pushing personalized pages module 706;
Pushing personalized pages module 706 is used for according to said customized information record, to this user's pushing personalized page.
In concrete the realization; Said customized information record can comprise said user's 3G wireless network operations behavioural information; And/or; To the network data message that said user's 3G wireless network operations generates, in this case, said presetting rule judge module 705 can comprise following submodule:
The user behavior characteristic parameter obtains submodule; Be used for said user's 3G wireless network operations behavioural information is carried out behavioural analysis; And/or, the said network data message that generates to user's 3G wireless network operations is carried out data mining, obtain the characteristic parameter of user behavior;
The threshold decision submodule is used to judge whether the characteristic parameter of said user behavior satisfies predetermined threshold value.
In a kind of preferred embodiment of the application, said pushing personalized pages module 706 can comprise following submodule:
Personalized identification generates submodule, is used for generating according to said customized information record active user's personalized identification;
The page reorientation submodule is used for generating the page navigation that matees according to said personalized identification, pushes corresponding personal page with the mode that is redirected to the user by said page navigation.
In concrete the application, said link block 701, user individual record judge module 702, presetting rule judge module 705, IP information generating module 703, customized information logging modle 704 can be arranged on core-network side; Said pushing personalized pages module 704 can be arranged on the Internet side.
As a kind of preferred embodiment of the application, this device embodiment can also comprise like lower module:
Modified module is used to receive the modification of user on corresponding personal page, and preserves said modification.
In concrete the application, said modified module can be arranged on the Internet side.
For device embodiment, because it is similar basically with method embodiment, so description is fairly simple, relevant part gets final product referring to the part explanation of method embodiment.
The application can be used in numerous general or special purpose computingasystem environment or the configuration.For example: personal computer, server computer, handheld device or portable set, plate equipment, multicomputer system, the system based on microprocessor, set top box, programmable consumer-elcetronics devices, network PC, minicom, mainframe computer, comprise DCE of above any system or equipment or the like.
The application can describe in the general context of the computer executable instructions of being carried out by computer, for example program module.Usually, program module comprises the routine carrying out particular task or realize particular abstract, program, object, assembly, data structure or the like.Also can in DCE, put into practice the application, in these DCEs, by through communication network connected teleprocessing equipment execute the task.In DCE, program module can be arranged in this locality and the remote computer storage medium that comprises memory device.
More than to the accurate information of a kind of wireless personalization that the application provided supplying system initiatively based on core-network side; The accurate information of a kind of wireless personalization based on core-network side is method for pushing initiatively; And; The accurate information of a kind of wireless personalization based on core-network side is pusher initiatively; Carried out detailed introduction, used concrete example among this paper the application's principle and execution mode are set forth, the explanation of above embodiment just is used to help to understand the application's method and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to the application's thought, the part that on embodiment and range of application, all can change, in sum, this description should not be construed as the restriction to the application.
Claims (16)
1. the accurate information of the wireless personalization based on core-network side supplying system initiatively; It is characterized in that: comprise that lift-launch accepts the equipment of the core network of wireless user's solicited message on core net; Said equipment of the core network is analyzed navigation module with the beam split of wireless user's solicited message or mirror image to the User Recognition on the core net, and said core network sends to lift-launch ID identification can be provided and accurately discern, provide accurate personal page and user individual revised user's precision individual character WEB server of preserving on the internet with user's request.
2. the accurate information of the wireless personalization based on core-network side according to claim 1 is supplying system initiatively, it is characterized in that: said User Recognition is shared and is equipped with user behavior analysis engine and the User Recognition engine that the user is carried out behavioural analysis and individual business excavation on the navigation module.
3. the accurate information of the wireless personalization based on core-network side according to claim 1 and 2 is supplying system initiatively; It is characterized in that: said User Recognition is analyzed the data of navigation module after with Accurate Analysis and is fed back to core network device, through core network device the user is accurately visited the channeling conduct of precision homepage.
4. the accurate information active of the wireless personalization based on a core-network side method for pushing is characterized in that, comprising:
The 3G wireless network connection request that step S11, reception user submit to comprises subscriber identity information in the said connection request;
Step S12, judge whether to exist the corresponding customized information record of said subscriber identity information; If, execution in step S13 then;
Step S13, judge whether said customized information record satisfies presetting rule, if, execution in step S14 then;
Step S14, according to said customized information record, to this user's pushing personalized page.
5. method according to claim 4 is characterized in that, also comprises:
Step S15, if there is not the corresponding customized information record of said subscriber identity information, then generate the user when the corresponding IP information of time connection request, and set up the related of said subscriber identity information and IP information;
Step S16, collect the operation information of the 3G wireless network that the user submits to based on current IP information, generate corresponding customized information record; And set up the related of said subscriber identity information and customized information record; Change step S13.
6. method according to claim 5 is characterized in that, also comprises:
If said customized information record does not satisfy presetting rule, then return step S16.
7. according to claim 4 or 5 or 6 described methods; It is characterized in that; Said customized information record comprises said user's 3G wireless network operations behavioural information; And/or to the network data message that said user's 3G wireless network operations generates, the said step of judging whether the customized information record satisfies presetting rule comprises:
3G wireless network operations behavioural information to said user is carried out behavioural analysis, and/or, the said network data message that generates to user's 3G wireless network operations is carried out data mining, obtain the characteristic parameter of user behavior;
Whether the characteristic parameter of judging said user behavior satisfies predetermined threshold value.
8. method according to claim 7 is characterized in that, and is said according to the customized information record, comprises to the step of this user's pushing personalized page:
Generate active user's personalized identification according to said customized information record;
Generate the page navigation that matees according to said personalized identification, push corresponding personal page with the mode that is redirected to the user by said page navigation.
9. method according to claim 8 is characterized in that, also comprises:
Step S17, the modification of reception user on corresponding personal page, and preserve said modification.
10. according to Claim 8 or 9 described methods, it is characterized in that said step S11, step S12, step S13, step S15, step S16 carry out in core-network side; Said step S14, step S17 be the side execution in the Internet.
11. the accurate information active of the wireless personalization based on a core-network side pusher is characterized in that, comprising:
Link block is used to receive the 3G wireless network connection request that the user submits to, comprises subscriber identity information in the said connection request;
User individual writes down judge module, is used to judge whether to exist the customized information record of said subscriber identity information correspondence; If then call the presetting rule judge module;
The presetting rule judge module is used to judge whether said customized information record satisfies presetting rule; If then call the pushing personalized pages module;
The pushing personalized pages module is used for according to said customized information record, to this user's pushing personalized page.
12. device according to claim 11 is characterized in that, also comprises:
The IP information generating module is used for when not having the corresponding customized information record of said subscriber identity information, generating the user when the corresponding IP information of time connection request, and sets up the related of said subscriber identity information and IP information;
The customized information logging modle is used to collect the operation information of user based on the 3G wireless network of current IP information submission, generates corresponding customized information record; And set up the related of said subscriber identity information and customized information record; Said customized information logging modle links to each other with the presetting rule judge module.
13. device according to claim 12 is characterized in that, does not satisfy presetting rule if said presetting rule judge module is judged said customized information record, then calls the customized information logging modle.
14. according to claim 11 or 12 or 13 described devices; It is characterized in that; Said customized information record comprises said user's 3G wireless network operations behavioural information; And/or to the network data message that said user's 3G wireless network operations generates, said presetting rule judge module comprises:
The user behavior characteristic parameter obtains submodule; Be used for said user's 3G wireless network operations behavioural information is carried out behavioural analysis; And/or, the said network data message that generates to user's 3G wireless network operations is carried out data mining, obtain the characteristic parameter of user behavior;
The threshold decision submodule is used to judge whether the characteristic parameter of said user behavior satisfies predetermined threshold value.
15. device according to claim 14 is characterized in that, said pushing personalized pages module comprises:
Personalized identification generates submodule, is used for generating according to said customized information record active user's personalized identification;
The page reorientation submodule is used for generating the page navigation that matees according to said personalized identification, pushes corresponding personal page with the mode that is redirected to the user by said page navigation.
16. device according to claim 15 is characterized in that, said link block, user individual record judge module, presetting rule judge module, IP information generating module, customized information logging modle are positioned at core-network side; Said pushing personalized pages module is positioned at the Internet side.
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Address after: 100081, building 2, building 18, 1607 South Main Street, Beijing, Haidian District, Zhongguancun, China Patentee after: Izp (China) Network Technology Co. Ltd. Address before: 100081, building 2, building 18, 1607 South Main Street, Beijing, Haidian District, Zhongguancun, China Patentee before: Beijing IZP Technologies Co., Ltd. |
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Granted publication date: 20151007 Termination date: 20161208 |
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