CN102929939B - The offer method and device of customized information - Google Patents
The offer method and device of customized information Download PDFInfo
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Abstract
The offer method and device of a kind of customized information is provided.Wherein, method includes: according to the first data obtained, and obtains n user interest classification；Described first data include the data that local browser and/or cloud server provide；The customized information with n user interest classification and matching is obtained respectively in Information Push Server；Described customized information is represented in the appointment position of website navigation page.In the offer method and device of the customized information of present invention offer, the data provided according to local browser and/or cloud server obtain n user interest classification, obtain the customized information with n user interest classification and matching respectively, website navigation page represents these customized informations.Owing to these customized informations are recommended the most targetedly, the customized information that website navigation page represents for different users is different, improves the accuracy of user's browsing content.
Description
Technical field
The present invention relates to networking technology area, the offer method and device of a kind of customized information is provided.
Background technology
Website navigation page is exactly one and gathers more network address the one carrying out classifying according to certain condition
Webpage.Website navigation page facilitates online friends to be quickly found out the website that oneself needs, and does not spend and remember respectively
The network address of class website, it is possible to proceed directly to required website.Website navigation page typically also self provides
Conventional query facility, and mailbox logs in, search engine entrance, have also has the functions such as hot news.
Existing website navigation page is all general to all users, owing to not accounting for the individual of user
People's hobby, the information that the website navigation page that different user uses obtains is identical, this not
The information resources adding differentiation can not meet the individual demand of user.Therefore, carry in website navigation page
The focus of research and development is had become as personalized ventilation system based on user interest.
Summary of the invention
In view of the above problems, it is proposed that the present invention is to provide one to overcome the problems referred to above or at least partly
Ground solves offer method and the offer device of corresponding customized information of the customized information of the problems referred to above.
According to an aspect of the invention, it is provided a kind of offer method of customized information, including:
According to the first data obtained, obtaining n user interest classification, wherein, n >=1, n is for setting threshold
Value；Described first data include the data that local browser and/or cloud server provide；
The customized information with n user interest classification and matching is obtained respectively in Information Push Server；
Described customized information is represented in the appointment position of website navigation page.
According to a further aspect in the invention, it is provided that the offer device of a kind of customized information, including:
Classification acquisition module, for according to the first data obtained, obtains n user interest classification, its
In, n >=1, n is for setting threshold value；Described first data include that local browser and/or cloud server carry
The data of confession；
Matching module, for obtaining and n user interest classification and matching respectively in Information Push Server
Customized information；
Display module, for representing described customized information in the appointment position of website navigation page.
In the offer method and device of the customized information provided in the present invention, according to local browser and/or
The data that cloud server provides obtain n user interest classification, obtain respectively and divide with n user interest
The customized information of class coupling, represents these customized informations in website navigation page.Owing to these are a few
Property information is recommended the most targetedly, and for different users, website navigation page represents
Customized information is different, improves the accuracy of user's browsing content.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the skill of the present invention
Art means, and can being practiced according to the content of description, and in order to allow, the present invention's is above and other
Objects, features and advantages can become apparent, below especially exemplified by the detailed description of the invention of the present invention.
Accompanying drawing explanation
By reading the detailed description of hereafter preferred implementation, various other advantage and benefit for this
Field those of ordinary skill will be clear from understanding.Accompanying drawing is only used for illustrating the purpose of preferred implementation,
And it is not considered as limitation of the present invention.And in whole accompanying drawing, be denoted by the same reference numerals
Identical parts.In the accompanying drawings:
Fig. 1 shows the flow chart of the offer method of customized information according to an embodiment of the invention；
Fig. 2 shows the flow chart of the offer method of customized information in accordance with another embodiment of the present invention；
Fig. 3 shows the schematic diagram of one object lesson of embodiment of the present invention website navigation page；
Fig. 4 shows the structural representation providing device of customized information according to an embodiment of the invention
Figure.
Detailed description of the invention
It is more fully described the exemplary embodiment of the disclosure below with reference to accompanying drawings.Although accompanying drawing shows
The exemplary embodiment of the disclosure, it being understood, however, that may be realized in various forms the disclosure and not
Should be limited by embodiments set forth here.On the contrary, it is provided that these embodiments are able to more thoroughly
Understand the disclosure, and complete for the scope of the present disclosure can be conveyed to those skilled in the art.
Fig. 1 shows the flow chart of the offer method of customized information according to an embodiment of the invention.
As it is shown in figure 1, the present embodiment comprises the steps:
Step S101, according to the first data obtained, obtains n user interest and classifies, wherein, n >=1,
N is for setting threshold value.
The first data in the present embodiment refer to the browsing histories data obtained based on user browsing behavior,
It can include the data that local browser provides based on user browsing behavior, it is also possible to includes cloud service
The data that device provides based on user browsing behavior, it is also possible to aforementioned both include.Browse according to these and go through
History data, obtain n user interest classification, and this n user interest classification chart understands that user feels emerging the most
N aspect of interest.
Step S102, obtain with n user interest classification and matching in Information Push Server respectively individual
Property information.
In Information Push Server, storage has the customized information that can be pushed to user in a large number, for often
Individual user interest is classified, and searches the customized information matched in Information Push Server.
Step S103, represent customized information in the appointment position of website navigation page.
In the method that the present embodiment provides, the data provided according to local browser and/or cloud server
Obtain n user interest classification, obtain the customized information with n user interest classification and matching respectively,
These customized informations are represented in website navigation page.Owing to these customized informations are all targeted
Recommendation, the customized information that website navigation page represents for different users is different,
Improve the accuracy of user's browsing content.
Fig. 2 shows the flow chart of the offer method of customized information in accordance with another embodiment of the present invention.
As in figure 2 it is shown, the present embodiment comprises the steps:
Step S201, navigation patterns according to user, it is thus achieved that the first data.
First data can include the data that local browser provides.In local browser record a period of time
The navigation patterns of user and the information relevant with navigation patterns, obtain according to these navigation patterns and information
First data.Wherein the navigation patterns of user includes clicking on, searching for and the operation of input etc., and browses row
Include user's click on area for relevant data, access the information such as sub-channel and search key word.Local clear
The data that device of looking at provides include: interest keyword that client identification is corresponding with client identification and with
The visitation frequency that interest keyword is corresponding.These data reflect the user using this client is to which content
Compare interested and to these contents visitation frequency.
In the present embodiment, the client at local browser place can be computer, mobile terminal or other
Mobile device, above-mentioned client identification can be computer identity, mobile terminal identification or other move and set
Standby mark.The signal table of the data that table 1 provides for browser local in a specific example, this number
According to client identification be specially MID.
The signal table of the data that the local browser of table 1. provides
| MID | Interest keyword | Visitation frequency |
| 0000175873530b93d848614a0c188c5b | 4399-dm | 1 |
| 0000175873530b93d848614a0c188c5b | comic-dm | 4 |
| 00002e3bb9037870973b328078971c98 | novel-dm | 1 |
As shown in Table 1, the data that local browser provides include the MID interest corresponding with each MID
Keyword and the visitation frequency corresponding with each interest keyword.Above-mentioned data are that local browser is in mistake
Go the statistical result in certain time, such as, can be the statistical result of nearest 15 days.
First data can also include the data that cloud server provides.If user uses guidance to website
Access linked web pages, click on, search for and the operation of input etc. any including, all can the high in the clouds at navigation station
Server initiates request, and cloud server can be according to these request record user journal data, by calling
These data obtain the first data.The data that cloud server provides include: client identification and client
The network address mark of end mark correspondence and the visitation frequency corresponding with network address mark.Client identification can be
Computer identity, mobile terminal identification or other mobile device mark.Table 2 provides for cloud server
The signal table of data.In the data shown in table 2, client identification is specially MID.
The signal table of the data that table 2. cloud server provides
| MID | Network address identifies | Visitation frequency |
| 0000175873530b93d848614a0c188c5b | 100026002 | 2 |
| 0000175873530b93d848614a0c188c5b | 100013330 | 3 |
| 0001555e4ea2b299b6fbc55f46eeb771 | 100114314 | 4 |
As shown in Table 2, the data that cloud server provides include the MID network address corresponding with each MID
Mark and the visitation frequency corresponding with each network address mark.Above-mentioned data are that cloud server was in the past one
Fix time interior statistical result, such as, can be the statistical result of nearest 15 days.
Step S202, synopsis of classifying according to the first data obtained and interest, obtain m user interest
Classification and the visitation frequency of each user interest classification correspondence, wherein, m >=1.
If the first data include the data that local browser provides, step S202 includes: Web side navigation takes
Client identification and the interest corresponding with client identification that business device provides according to local browser are crucial
Word, searches the first interest classification synopsis, obtains m the user interest classification for client identification；
According to the visitation frequency corresponding with interest keyword, obtain the visitation frequency that the classification of each user interest is corresponding.
Wherein the first interest classification synopsis have recorded the mapping relations of interest keyword and user interest classification.Table 3
It it is the signal table of the first interest classification synopsis in a specific example.
Table 3. first interest classification synopsis
| Interest keyword | User interest class indication | User interest classified description |
| 4399-dm | 5 | Game |
| comic-dm | 8 | Fashion is entertained |
| novel-dm | 11 | Novel |
Preferably, the first interest classification synopsis have recorded interest keyword and user interest class indication
Mapping relations.Alternatively, the first interest classification synopsis can also record the letter of user interest classified description
Breath, this describes information is the navigation patterns according to user and search behavior acquisition.
See table 1 and table 3, for MID " 0000175873530b93d848614a0c188c5b ", look into
Looking for the first interest classification synopsis to understand, this MID, to there being 2 user interest classification, is respectively mark
For " the fashion amusement " of " 8 " be designated " game " of " 5 "；According to corresponding with interest keyword
Visitation frequency, the visitation frequency being designated " the fashion amusement " of " 8 " corresponding is " 4 ", mark
Knowing the visitation frequency for " game " of " 5 " is corresponding is " 1 ".For MID
" 00002e3bb9037870973b328078971c98 ", searches the first interest classification synopsis and understands,
This MID is to there being 1 user interest classification, for being designated " novel " of " 11 "；According to interest
The visitation frequency that keyword is corresponding, the visitation frequency of " novel " correspondence being designated " 11 " is 1.
If the first data include the data that cloud server provides, step S202 includes: Web side navigation takes
Client identification and the network address corresponding with client identification that business device provides according to cloud server identify,
Search the second interest classification synopsis, obtain m the user interest classification for client identification；According to
The visitation frequency corresponding with network address mark, obtains the visitation frequency that the classification of each user interest is corresponding.Wherein
Second interest classification synopsis have recorded the mapping relations of network address mark and user interest classification.Table 4 is one
The signal table of the second interest classification synopsis in individual specific example.
Table 4. second interest classification synopsis
Preferably, the second interest classification synopsis have recorded network address mark and the reflecting of user interest class indication
Penetrate relation.Alternatively, the second interest classification synopsis can also record the information of user interest classified description,
This describes information is to identify corresponding web page contents according to network address and obtain.
See table 2 and table 4, for MID " 0000175873530b93d848614a0c188c5b ", logical
Crossing lookup the second interest classification synopsis to understand, this MID, to there being 2 user interest classification, is respectively
It is designated " other chess and card single tractor of cartoon English of trivial games " of " 5 " and is designated " 4 "
" TV play ancient costume story of a play or opera palace scheming "；According to the visitation frequency corresponding with network address mark, marked
Know the visitation frequency of " other chess and card single tractor of cartoon English of the trivial games " correspondence for " 5 "
For " 2 ", the visitation frequency of " the TV play ancient costume story of a play or opera palace scheming " correspondence being designated " 4 " is " 3 ".
For MID " 0001555e4ea2b299b6fbc55f46eeb771 ", right by searching the second interest classification
Understanding according to table, this MID is to there being 1 user interest classification, for being designated " the healthy home of " 6 "
Doctor's autodiagnosis "；According to the visitation frequency corresponding with network address mark, it is designated " the healthy family of " 6 "
Chamber doctor autodiagnosis " visitation frequency be " 4 ".
If the first data not only include the data of local browser offer but also include the number that cloud server provides
According to, the data that local browser is provided, map according to above-mentioned first interest classification synopsis,
The data provided for cloud server, map according to above-mentioned second interest classification synopsis.
If step S203 m is more than or equal to n, then according to visitation frequency, m user interest is divided
Class is ranked up, and chooses the user interest classification coming front n position as n user interest classification；If
M is less than n, then choose m user interest classification and n-m the user interest classification specified is individual as n
User interest is classified.
Web side navigation server has preset the user interest classification relevant with representing customized information
Number n, if number m of user interest classification that step S202 obtains is more than or equal to n, then press
According to the height of visitation frequency, m user interest classification is ranked up, chooses the user coming front n position
Interest classification is as n user interest classification.If the number of the user interest classification that step S202 obtains
Less than n, in addition to choosing this m user interest classification, then it is emerging to choose n-m the user specified
Interest classification, obtains n user interest classification.
At m more than or equal to n, and the first data only include the data of local browser offer or only wrap
In the case of including the data that cloud server provides, according to visitation frequency order from high to low, to m
User interest classification is ranked up.In the example shown in table 1 and table 3, if n is 1, for MID
" 0000175873530b93d848614a0c188c5b ", it is to there being 2 user interest classification, wherein,
The visitation frequency of the user interest classification being designated " 8 " is " 4 ", and the user interest being designated " 5 " divides
The visitation frequency of class is " 1 ", then choose the user interest classification work being designated " 8 " after sequence
For the user interest classification relevant with customized information will be represented.
At m more than or equal to n, and the first data include data and the high in the clouds clothes of local browser offer
In the case of the data that business device provides, each user interest is classified, calculate what local browser provided
Data to should user interest classification visitation frequency and cloud server provide data to should user emerging
The weighted mean of the visitation frequency of interest classification；According to weighted mean order from high to low, to m
User interest classification is ranked up.In the example shown in table 1 to table 4, if n is 2, for MID
" 0000175873530b93d848614a0c188c5b ", it is to having 3 user interest classification, respectively
For being designated " 8 ", being designated " 5 " and be designated the user interest classification of " 4 ".If local browser
The weight of the data provided is 0.6, and the weight of the data that cloud server provides is 0.4.For being designated
The user interest classification of " 5 ", the visitation frequency that the data of local browser offer are corresponding is " 1 ", cloud
The visitation frequency that the data of end server offer are corresponding is " 2 ", then the access frequency of this user interest classification
Secondary weighted mean is 1*0.6+2*0.4=1.4；Classify for being designated the user interest of " 8 ", local
Visitation frequency corresponding to data that browser provides be " 4 ", the visit that the data of cloud server offer are corresponding
Ask that the frequency is " 0 ", then the weighted mean of the visitation frequency of this user interest classification is
4*0.6+0*0.4=2.4；Classify for being designated the user interest of " 4 ", the data that local browser provides
Corresponding visitation frequency is " 0 ", and the visitation frequency that the data of cloud server offer are corresponding is " 3 ",
So the weighted mean of the visitation frequency of this user interest classification is 0*0.6+3*0.4=1.2.Through sequence
After, choose be designated " 5 " user interest classification and be designated " 8 " user interest classification as with
The user interest classification that customized information is relevant will be represented.
Step S204, the most each user interest is classified, obtain corresponding emerging of this user interest classification
Interest sorting key word.
Each user interest is classified to having one or more fixing interest sorting key word, this interest
Sorting key word can be obtained by above-mentioned user interest classified description.Such as, the user being designated " 5 " is emerging
The interest sorting key word of interest classification correspondence can be " game ", is designated the user interest classification of " 8 "
Corresponding interest sorting key word can be " fashion amusement ".
Step S205, according to interest sorting key word, in Information Push Server search emerging with this user
The customized information of interest classification and matching.
In the present embodiment, customized information is stored in Information Push Server, and Web side navigation server leads to
Cross interest sorting key word mutual with Information Push Server, find out in Information Push Server with emerging
The content that interest sorting key word is relevant, chooses customized information from the content relevant to interest keyword.
Preferably, for Optimized Matching, after finding out the content relevant to interest sorting key word, to these
Content is ranked up, and chooses the content come above as customized information.Sequence can be according to clicking rate
Height carry out, if customized information is advertising message, sequence can also be according to the height of advertising expenditure
Low carry out.
Step S206, represent customized information in the appointment position of website navigation page.
Fig. 3 shows the schematic diagram of one object lesson of embodiment of the present invention website navigation page.Assume logical
Cross the interest sorting key word that above-mentioned steps S201-S204 obtains and include " video display ", " shopping " and " body
Educate ", mate in Information Push Server and obtain: the customized information corresponding with " video display " includes " nothing
Slack hit 3 ", " the big robbery of gold ", " obstinate bride " and " 18 prohibit can't help film "；With " purchase
Thing " corresponding customized information includes " beautiful says shopping warp ", " all visitor's T-shirts ", " discovery female
Dress " and " certified products cosmetics "；The customized information corresponding with " physical culture " include " sports event live broadcast ",
" London Olympic meeting ", " live " and " Sina's physical culture ".As it is shown on figure 3, at Web side navigation page
Above-mentioned customized information is represented at the appointment position 30 in face.
Web side navigation server can be united again every the method that one period of cycle time provides according to the present embodiment
Meter user interest is classified and mates the customized information of correspondence, dynamically adjusts Web side navigation according to matching result
The customized information of webpage representation.In the range of one period of cycle time, the individual character that website navigation page represents
Change information can be static constant, it is also possible to being dynamically change, such as user accesses network address every time and leads
The customized information that the boat page is represented is the most different.
In the method that the present embodiment provides, relevant according to local browser and/or cloud server record
The data of user browsing behavior obtain the first data, and it is interested in which content that the first data reflect user；
According to the first data and interest classification synopsis, obtain n user interest classification；Emerging according to n user
The interest sorting key word that interest classification is corresponding, searches the customized information of correspondence in Information Push Server,
And then in website navigation page, represent these customized informations.Owing to these customized informations are all to have pin
To the recommendation of property, the customized information that website navigation page represents for different users is different
, improve the accuracy of user's browsing content, decrease user and search for the time cost spent.This
Embodiment provide method take full advantage of the data that user browsing behavior is relevant, accurately match obtain with
The customized information that these data are relevant, brings personalized and diversified bandwagon effect to user, meets
The personalized diversified demand of user.For customized information publisher, this method provide one
Information published method accurately, improves the matching degree of targeted customer and clicks on efficiency.
Fig. 4 shows the structural representation providing device of customized information according to an embodiment of the invention
Figure.As shown in Figure 4, this device includes: classification acquisition module 400, matching module 410 and displaying mould
Block 420.Wherein, classification acquisition module 400 is for according to the first data obtained, obtaining n user emerging
Interest classification, wherein, n >=1, n is for setting threshold value；First data include local browser and/or high in the clouds clothes
The data that business device provides；Matching module 410 is for obtaining and n use respectively in Information Push Server
The customized information of family interest classification and matching；Display module 420 is for the specific bit at website navigation page
Put and represent customized information.
Further, classification acquisition module 400 may include that mapping block 401 and chooses module 402.
Wherein, mapping block 401 is for according to the first data obtained and interest classification synopsis, obtaining m
User interest classification and the visitation frequency of each user interest classification correspondence, wherein, m >=1；
If m more than or equal to n, chooses module 402 for according to visitation frequency, emerging to m user
Interest classification is ranked up, and chooses the user interest classification coming front n position as n user interest classification；
If m is less than n, choose module 402 for choosing m user interest classification and n-m the use specified
Family interest classification is as n user interest classification.
If the first data include that the data that local browser provides, the data that local browser provides include:
Interest keyword that client identification is corresponding with client identification and the access corresponding with interest keyword
The frequency；Mapping block 401 includes: the first map unit 403 and the first frequency acquiring unit 404.Wherein,
First map unit 403 is for the client identification provided according to local browser and and client identification
Corresponding interest keyword, searches the first interest classification synopsis, obtains m for client identification
User interest is classified；First interest classification synopsis have recorded interest keyword and reflecting that user interest is classified
Penetrate relation；First frequency acquiring unit 404 is for according to the visitation frequency corresponding with interest keyword, obtaining
Take the visitation frequency that the classification of each user interest is corresponding；
If the first data include the data that cloud server provides, the data that cloud server provides include:
The network address that client identification is corresponding with client identification identifies and the visitation frequency corresponding with network address mark；
Mapping block 401 includes: the second map unit 405 and the second frequency acquiring unit 406.Wherein, second
Map unit 405 is for the client identification provided according to cloud server and corresponding with client identification
Network address mark, search second interest classification synopsis, obtain emerging for m user of client identification
Interest classification；Second interest classification synopsis have recorded the mapping relations of network address mark and user interest classification；
Second frequency acquiring unit 406 is for according to the visitation frequency corresponding with network address mark, obtaining each user
The visitation frequency that interest classification is corresponding.
If the first data only include the data of local browser offer or only include what cloud server provided
Data, at m more than or equal in the case of n, choose module specifically for: according to visitation frequency from height
To low order, m user interest classification is ranked up, chooses and come the user interest of front n position and divide
Class is classified as n user interest.
If the first data not only include the data of local browser offer but also include the number that cloud server provides
According to, in the case of m is more than or equal to n, chooses module 402 and include: computing unit 407, sequence
Unit 408 and choose unit 409.Wherein, computing unit 407 is used for classifying for each user interest,
Calculate data that local browser provides to should the visitation frequency of user interest classification and cloud server carry
The data of confession are to should the weighted mean of visitation frequency of user interest classification；Sequencing unit 408 is used for
According to weighted mean order from high to low, m user interest classification is ranked up；Choose unit
409 for choosing the user interest classification coming front n position as n user interest classification.
Further, matching module 410 includes: keyword acquiring unit 411 and matching unit 412.Its
In, keyword acquiring unit 411, for classifying for the most each user interest, obtains this user interest
The interest sorting key word that classification is corresponding；Matching unit 412 is for according to interest sorting key word, at letter
Breath push server searches the customized information with this user interest classification and matching.
Further, matching unit 412 includes: search unit 413 and information extracting unit 414.Wherein,
Search unit 413 for searching the content relevant to interest sorting key word in Information Push Server；
Information extracting unit 414 is for choosing customized information from the content relevant to interest sorting key word.
In the device that the present embodiment provides, relevant according to local browser and/or cloud server record
The data of user browsing behavior obtain the first data, and it is interested in which content that the first data reflect user；
According to the first data and interest classification synopsis, obtain n user interest classification；Emerging according to n user
The interest sorting key word that interest classification is corresponding, searches the customized information of correspondence in Information Push Server,
And then in website navigation page, represent these customized informations.Owing to these customized informations are all to have pin
To the recommendation of property, the customized information that website navigation page represents for different users is different
, improve the accuracy of user's browsing content, decrease user and search for the time cost spent.This
Embodiment provide device take full advantage of the data that user browsing behavior is relevant, accurately match obtain with
The customized information that these data are relevant, brings personalized and diversified bandwagon effect to user, meets
The personalized diversified demand of user.For customized information publisher, the device provides one
Information published method accurately, improves the matching degree of targeted customer and clicks on efficiency.
Algorithm and display be not solid with any certain computer, virtual system or miscellaneous equipment provided herein
Have relevant.Various general-purpose systems can also be used together with based on teaching in this.As described above,
Construct the structure required by this kind of system to be apparent from.Additionally, the present invention is also not for any specific
Programming language.It is understood that, it is possible to use various programming languages realize the content of invention described herein,
And the description done language-specific above is the preferred forms in order to disclose the present invention.
In description mentioned herein, illustrate a large amount of detail.It is to be appreciated, however, that this
Bright embodiment can be put into practice in the case of not having these details.In some instances, the most in detail
Known method, structure and technology are carefully shown, in order to do not obscure the understanding of this description.
Similarly, it will be appreciated that in order to simplify the disclosure help to understand in each inventive aspect one or
Multiple, above in the description of the exemplary embodiment of the present invention, each feature of the present invention sometimes by
It is grouped into together in single embodiment, figure or descriptions thereof.But, should be by the disclosure
Method is construed to reflect an intention that i.e. the present invention for required protection requires that ratio is in each claim
The more feature of feature being expressly recited.More precisely, as the following claims reflect
Like that, inventive aspect is all features less than single embodiment disclosed above.Therefore, it then follows tool
Claims of body embodiment are thus expressly incorporated in this detailed description of the invention, and the most each right is wanted
Ask itself all as the independent embodiment of the present invention.
Those skilled in the art are appreciated that and can carry out the module in the equipment in embodiment certainly
Change adaptively and they are arranged in one or more equipment different from this embodiment.Permissible
Module in embodiment or unit or assembly are combined into a module or unit or assembly, and in addition may be used
To put them into multiple submodule or subelement or sub-component.Except such feature and/or process or
Outside at least some in unit excludes each other, can use any combination that (this specification is included companion
With claim, summary and accompanying drawing) disclosed in all features and so disclosed any method or
All processes of person's equipment or unit are combined.Unless expressly stated otherwise, this specification (includes companion
With claim, summary and accompanying drawing) disclosed in each feature can by provide identical, equivalent or phase
Replace like the alternative features of purpose.
Although additionally, it will be appreciated by those of skill in the art that embodiments more described herein include other
Some feature included in embodiment rather than further feature, but the combination of the feature of different embodiment
Mean to be within the scope of the present invention and formed different embodiments.Such as, in following right
In claim, one of arbitrarily can mode using in any combination of embodiment required for protection.
The all parts embodiment of the present invention can realize with hardware, or with at one or more processor
The software module of upper operation realizes, or realizes with combinations thereof.Those skilled in the art should manage
Solve, microprocessor or digital signal processor (DSP) can be used in practice to realize according to this
The customized information of inventive embodiments the some or all of some or all parts in device are provided
Function.The present invention be also implemented as perform method as described herein part or all
Equipment or device program (such as, computer program and computer program).Such realization is originally
The program of invention can store on a computer-readable medium, or can have one or more signal
Form.Such signal can be downloaded from internet website and obtain, or provides on carrier signal,
Or provide with any other form.
The present invention will be described rather than limits the invention to it should be noted above-described embodiment, and
And those skilled in the art can design replacement enforcement without departing from the scope of the appended claims
Example.In the claims, any reference marks that should not will be located between bracket is configured to claim
Restriction.Word " comprises " and does not excludes the presence of the element or step not arranged in the claims.It is positioned at unit
Word "a" or "an" before part does not excludes the presence of multiple such element.The present invention can borrow
Help include the hardware of some different elements and realize by means of properly programmed computer.At row
If having lifted in the unit claim of equipment for drying, several in these devices can be by same firmly
Part item specifically embodies.Word first, second and third use do not indicate that any order.Can
It is title by these word explanations.
Claims (11)
1. an offer method for customized information, including:
Navigation patterns according to user, it is thus achieved that the first data；According to the first data obtained, obtain n
User interest is classified, and wherein, n >=1, n is for setting threshold value；Described first data include local browser
And/or the data that cloud server provides；
The customized information with n user interest classification and matching is obtained respectively in Information Push Server；
Described customized information is represented in the appointment position of website navigation page；
Wherein, described obtain respectively in Information Push Server with n user interest classification and matching individual
Property information includes:
The most each user interest is classified, obtains the interest sort key that the classification of this user interest is corresponding
Word, wherein, interest sorting key word obtains according to user interest classified description；
According to described interest sorting key word, search in Information Push Server and close with the classification of described interest
These contents are ranked up by the content that key word is relevant, and sort the height according to clicking rate or advertising expenditure
Height carry out, choose the content come above as described customized information.
Method the most according to claim 1, described according to the first data obtained, obtain n use
Family interest classification includes:
According to the first data obtained and interest classification synopsis, obtain m user interest and classify and every
The visitation frequency that the classification of individual user interest is corresponding, wherein, m >=1；
If m is more than or equal to n, then according to visitation frequency, described m user interest classification is carried out
Sequence, chooses the user interest classification coming front n position as described n user interest classification；
If m is less than n, then choose described m user interest classification and n-m the user interest specified
Classify as described n user interest classification.
Method the most according to claim 2, the data that described local browser provides include: client
End identifies the interest keyword corresponding with described client identification and corresponding with described interest keyword
Visitation frequency；The data that described cloud server provides include: client identification and described client mark
Know corresponding network address mark and the visitation frequency corresponding with described network address mark.
Method the most according to claim 3,
If described first data include the data that local browser provides, described according to the first data obtained
With interest classification synopsis, obtain m user interest classification and the visit of each user interest classification correspondence
Ask that the frequency includes:
The client identification and the interest corresponding with described client identification that there is provided according to local browser are closed
Key word, searches the first interest classification synopsis, obtains m the user interest for described client identification
Classification；Described first interest classification synopsis have recorded the mapping pass of interest keyword and user interest classification
System；
According to the visitation frequency corresponding with described interest keyword, obtain each user interest classification correspondence
Visitation frequency；
If described first data include the data that described cloud server provides, described according to obtain first
Data and interest classification synopsis, obtain m user interest classification and each user interest classification correspondence
Visitation frequency include:
The client identification provided according to cloud server and the network address mark corresponding with described client identification
Know, search the second interest classification synopsis, obtain m the user interest for described client identification and divide
Class；Described second interest classification synopsis have recorded the mapping relations of network address mark and user interest classification；
According to the visitation frequency corresponding with described network address mark, obtain the visit that the classification of each user interest is corresponding
Ask the frequency.
5., according to the method described in any one of claim 2 to 4, described first data include that this locality browses
The data that device or cloud server provide；
Described according to visitation frequency, described m user interest classification is ranked up particularly as follows: according to visit
Ask frequency order from high to low, described m user interest classification is ranked up.
6., according to the method described in any one of claim 2 to 4, described first data include that this locality browses
The data that device and cloud server provide；
Described according to visitation frequency, described m user interest classification is carried out ranked package and includes:
Each user interest is classified, calculates the data of local browser offer to dividing by user interest
The data that the visitation frequency of class and cloud server provide are to should the adding of visitation frequency of user interest classification
Weight average value；
According to described weighted mean order from high to low, described m user interest classification is arranged
Sequence.
7. an offer device for customized information, including:
Classification acquisition module, for the navigation patterns according to user, it is thus achieved that the first data；According to obtain
First data, obtain n user interest classification, wherein, n >=1, and n is for setting threshold value；Described first
Data include the data that local browser and/or cloud server provide；
Matching module, for obtaining and n user interest classification and matching respectively in Information Push Server
Customized information；
Display module, for representing described customized information in the appointment position of website navigation page；
Wherein, described matching module includes: keyword acquiring unit, for emerging for the most each user
Interest classification, obtains the interest sorting key word that the classification of this user interest is corresponding, wherein, interest sort key
Radical obtains according to user interest classified description；
Matching unit, for according to described interest sorting key word, search in Information Push Server with
The customized information of this user interest classification and matching；
Described matching unit includes:
Search unit, relevant to described interest sorting key word for searching in Information Push Server
Content；
Information extracting unit, for being ranked up these contents, sort the height according to clicking rate or wide
The height of announcement expense is carried out, and chooses the content come above as described customized information.
Device the most according to claim 7, described classification acquisition module includes:
Mapping block, for according to the first data obtained and interest classification synopsis, obtaining m user
Interest classification and the visitation frequency of each user interest classification correspondence, wherein, m >=1；
Choose module；
If m is more than or equal to n, described in choose module for according to visitation frequency, to described m use
Interest classification in family is ranked up, and chooses that to come the user interest classification of front n position emerging as described n user
Interest classification；If m is less than n, described in choose module and classify for choosing described m user interest and refer to
N-m fixed user interest classification is as described n user interest classification.
Device the most according to claim 8,
If described first data include the data that local browser provides, the number that described local browser provides
According to including: interest keyword that client identification is corresponding with described client identification and with described interest
The visitation frequency that keyword is corresponding；Described mapping block includes:
First map unit, for the client identification provided according to local browser and with described client
The interest keyword that end mark is corresponding, searches the first interest classification synopsis, obtains for described client
M user interest classification of mark；Described first interest classification synopsis have recorded interest keyword and use
The mapping relations of family interest classification；
First frequency acquiring unit, for according to the visitation frequency corresponding with described interest keyword, obtains
The visitation frequency that the classification of each user interest is corresponding；
If described first data include the data that described cloud server provides, described cloud server provides
Data include: client identification corresponding with described client identification network address mark and with described net
The visitation frequency that location mark is corresponding；Described mapping block includes:
Second map unit, for according to cloud server provide client identification and with described client
The network address mark that end mark is corresponding, searches the second interest classification synopsis, obtains for described client mark
M the user interest classification known；It is emerging with user that described second interest classification synopsis have recorded network address mark
The mapping relations of interest classification；
Second frequency acquiring unit, for according to the visitation frequency corresponding with described network address mark, obtains every
The visitation frequency that the classification of individual user interest is corresponding.
10. according to the device described in claim 7 or 8, described first data include local browser or
The data that cloud server provides；
At m more than or equal in the case of n, described in choose module specifically for: according to visitation frequency from
High to Low order, is ranked up described m user interest classification, chooses the user coming front n position
Interest classification is as described n user interest classification.
11. according to the device described in claim 7 or 8, described first data include local browser and
The data that cloud server provides；
At m more than or equal in the case of n, described in choose module and include:
Computing unit, for classifying for each user interest, calculates the data pair that local browser provides
Should user interest classification visitation frequency and cloud server provide data to should user interest classification
The weighted mean of visitation frequency；
Sequencing unit, for according to described weighted mean order from high to low, to described m user
Interest classification is ranked up；
Choose unit, classify as described n user interest for choosing the user interest coming front n position
Classification.
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| CN201210370965.0A CN102929939B (en) | 2012-09-28 | 2012-09-28 | The offer method and device of customized information |
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| CN201210370965.0A CN102929939B (en) | 2012-09-28 | 2012-09-28 | The offer method and device of customized information |
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| CN103544290A (en) * | 2013-10-29 | 2014-01-29 | 深圳市同洲电子股份有限公司 | Method and system for displaying individualized recommendation pages through fingerprint identification |
| CN103886036B (en) * | 2014-03-06 | 2017-12-26 | 百度在线网络技术（北京）有限公司 | A kind of method and apparatus for the page to be presented |
| CN105488038B (en) * | 2014-09-15 | 2021-03-05 | 创新先进技术有限公司 | Personalized information matching method and device for communication application |
| CN104410563A (en) * | 2014-11-25 | 2015-03-11 | 深圳市信锐网科技术有限公司 | Information push method and wireless device |
| CN105718184A (en) * | 2014-12-05 | 2016-06-29 | 北京搜狗科技发展有限公司 | Data processing method and apparatus |
| CN104540030A (en) * | 2015-01-26 | 2015-04-22 | 北京奇艺世纪科技有限公司 | Navigation interface display method and navigation interface display device |
| CN105095355B (en) * | 2015-06-19 | 2018-10-19 | 小米科技有限责任公司 | Recommendation of websites method and device |
| CN106326320A (en) * | 2015-07-09 | 2017-01-11 | 阿里巴巴集团控股有限公司 | Method and device for realizing personal guidance |
| CN106933866A (en) * | 2015-12-31 | 2017-07-07 | 优信拍（北京）信息科技有限公司 | Data publication method, apparatus and system |
| CN105678586B (en) | 2016-01-12 | 2020-09-29 | 腾讯科技（深圳）有限公司 | Information supporting method and device |
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