CN105320766B - Information-pushing method and device - Google Patents
Information-pushing method and device Download PDFInfo
- Publication number
- CN105320766B CN105320766B CN201510710944.2A CN201510710944A CN105320766B CN 105320766 B CN105320766 B CN 105320766B CN 201510710944 A CN201510710944 A CN 201510710944A CN 105320766 B CN105320766 B CN 105320766B
- Authority
- CN
- China
- Prior art keywords
- information
- place
- model
- user
- website
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Transfer Between Computers (AREA)
Abstract
This application discloses information-pushing methods and device.One specific embodiment of the method includes: to obtain current model of place, wherein model of place include: user within a predetermined period of time the operation behavior information of at least one website and/or browsing behavior information and the user user characteristics and the website website feature；The current model of place is matched at least one default model of place, obtains the default model of place for being greater than preset threshold with the similarity of the current model of place；Rule is pushed based on information associated with acquired default model of place, at least one pushed information is selected from multiple information to be pushed and is pushed.The embodiment solves the problems, such as that information-pushing method is complicated for operation and scalability is poor.
Description
Technical field
This application involves field of computer technology, and in particular to Internet technical field more particularly to information-pushing method
And information push-delivery apparatus.
Background technique
Information push is also known as " Web broadcast " by certain technical standard or agreement, on the internet by pushing away
The information of user's needs is sent to reduce a technology of information overload.Information advancing technique by active push information to user,
User can be reduced the time spent in searching on network.
What existing information push was realized generally by following steps: firstly, collecting the historical data of user and website；
Secondly, clustering for statistical analysis to the data of collection and machine learning, select user interested or associated station
Point content；Finally, the site contents of above-mentioned selection are pushed to user.This information-pushing method is complicated for operation, especially exists
When in face of new user or new site, due to lack historical data make information push the effect is relatively poor；Moreover, the interest of user or
Preference is also to change at any time and constantly, and site size or content information can also change, and leads to this information-pushing method
There is also the problems of scalability difference.
Summary of the invention
The purpose of the application is to propose a kind of improved information-pushing method and information push-delivery apparatus, to solve above carry on the back
The technical issues of scape technology segment is mentioned.
In a first aspect, this application provides a kind of information-pushing methods, which comprises
Current model of place is obtained, wherein model of place includes: user within a predetermined period of time at least one website
Operation behavior information and/or browsing behavior information and the user user characteristics and the website website feature；It will
The current model of place is matched at least one default model of place, obtains the phase with the current model of place
It is greater than the default model of place of preset threshold like degree；It is pushed and is advised based on information associated with acquired default model of place
Then, at least one pushed information is selected from multiple information to be pushed and is pushed.
In some embodiments, the operation behavior information includes search behavior information and/or click behavioural information.
In some embodiments, the website feature includes at least one of the following: type of site, site size, average net
It stands and accesses depth.
In some embodiments, described by the current model of place and at least one default model of place progress
Match, comprising:, will be described based on one or more in operation behavior information, browsing behavior information, user characteristics and website feature
Current model of place is matched at least one described default model of place.
In some embodiments, the information push rule includes at least one of the following: computation rule, ordering rule, tune
Whole rule.
Second aspect, this application provides a kind of information push-delivery apparatus, described device includes: acquiring unit, for obtaining
Current model of place, wherein model of place includes: that user believes in the operation behavior of at least one website within a predetermined period of time
The website feature of breath and/or the user characteristics and the website of browsing behavior information and the user；Matching unit is used for
The current model of place is matched at least one default model of place, is obtained and the current model of place
Similarity is greater than the default model of place of preset threshold；Push unit, for based on related to acquired default model of place
The information of connection pushes rule, at least one pushed information is selected from multiple information to be pushed and is pushed.
In some embodiments, the operation behavior information includes search behavior information and/or click behavioural information.
In some embodiments, the website feature includes at least one of the following: type of site, site size, average net
It stands and accesses depth.
In some embodiments, the matching unit is specifically used for: based on operation behavior information, browsing behavior information, using
It is one or more in family feature and website feature, by the current model of place and at least one described default model of place
It is matched, obtains the default model of place for being greater than preset threshold with the similarity of the current model of place.
In some embodiments, the information push rule includes at least one of the following: computation rule, ordering rule, tune
Whole rule.
Information-pushing method and device provided by the present application, by obtaining current model of place, by the current field
Scape model compares with default model of place, obtains and is greater than the default of preset threshold with the similarity of the current model of place
Model of place, finally based on the associated information push rule selection pushed information of acquired default model of place and to user
The information is pushed, this method solve the conventional information method for pushing problems complicated for operation with scalability difference.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is that this application can be applied to exemplary system architecture figures therein；
Fig. 2 is the flow chart according to one embodiment of the information-pushing method of the application；
Fig. 3 is the schematic diagram according to an application scenarios of the information-pushing method of the application；
Fig. 4 is the flow chart according to another embodiment of the information-pushing method of the application；
Fig. 5 is a kind of reality in the information-pushing method according to the application, based on information push Rule pushed information
The flow chart of existing mode；
Fig. 6 is the structural schematic diagram according to one embodiment of the information push-delivery apparatus of the application；
Fig. 7 is adapted for the structural representation of the computer system for the terminal device or server of realizing the embodiment of the present application
Figure.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, part relevant to related invention is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 is shown can be using the exemplary system of the embodiment of the information-pushing method or information push-delivery apparatus of the application
System framework 100.
As shown in Figure 1, system architecture 100 may include terminal device 101,102,103, network 104 and server 105.
Network 104 between terminal device 101,102,103 and server 105 to provide the medium of communication link.Network 104 can be with
Including various connection types, such as wired, wireless communication link or fiber optic cables etc..
User can be used terminal device 101,102,103 and be interacted by network 104 with server 105, to receive or send out
Send message etc..Various client applications, such as news category application, online shopping class can be installed on terminal device 101,102,103
Using, novel class application, the application of music class, mailbox client, social device software etc., user can be to each on terminal device
It plants to apply and the operation such as scans for, clicks, browsing.
Terminal device 101,102,103 can be various electronic equipments, including but not limited to smart phone, tablet computer,
E-book reader, MP3 player (Moving Picture Experts Group Audio Layer III, dynamic image
Expert's compression standard audio level 3), MP4 (Moving Picture Experts Group Audio Layer IV, dynamic shadow
As expert's compression standard audio level 4) player, pocket computer on knee and desktop computer etc..
Server 105 can be to provide the server of various services, such as to the news on terminal device 101,102,103
The back bench web server that the offers such as class application, the application of online shopping class are supported.Back bench web server can be above-mentioned new to receiving
The request data for hearing class application, the application of online shopping class etc. carries out the processing such as analyzing, and processing result is fed back to terminal device.
It should be noted that information-pushing method provided by the embodiment of the present application is generally executed by server 105, accordingly
Ground, information push-delivery apparatus are generally positioned in server 105.
It should be understood that the number of terminal device, network and server in Fig. 1 is only schematical.According to realization need
It wants, can have any number of terminal device, network and server.
With continued reference to Fig. 2, it illustrates the processes 200 according to one embodiment of the information-pushing method of the application.On
The information-pushing method stated, comprising the following steps:
Step 201, current model of place is obtained.
In the present embodiment, electronic equipment (such as server shown in FIG. 1) used by a user can from local or
Remotely obtain the current model of place of user.Here, model of place refers to the Web vector graphic by means of some parameters to user
The model that scene is characterized.Wherein, above-mentioned parameter includes at least following information: user is within a predetermined period of time at least one
The website of the operation behavior information and/or browsing behavior information of website and the user characteristics of above-mentioned user and above-mentioned website is special
Sign.
In general, user can use the different website of the application access installed in terminal.Here, when user passes through wired company
It connects mode or radio connection and accesses corresponding website from the terminal device for being mounted with news category application, the application of online shopping class etc.
At least one of when, the available following information of electronic equipment used by a user: user believes in the operation behavior of above-mentioned website
Breath, user are in the browsing behavior information of above-mentioned website, the website feature of the user characteristics of the user, above-mentioned website.
It should be pointed out that above-mentioned radio connection include but is not limited to 3G/4G connection, WiFi connection, bluetooth connection,
WiMAX connection, Zigbee connection, UWB (ultra wideband) connection and it is other currently known or in the future exploitation it is wireless
Connection type.
In the present embodiment, above-mentioned predetermined amount of time can be instructed according to the setting of user by electronic equipment and be specified.Example
Such as, may provide the user with set interface, " 12:00-13:00 " predetermined amount of time set in one day；Or it is above-mentioned
Predetermined amount of time can also be by default setting, such as " nearest 30 minutes ".
In some optional implementations of the present embodiment, aforesaid operations behavioural information include search behavior information and/
Or click behavioural information.Herein, search behavior information may include search key behavioural information.Wherein, search key
Behavioural information may include user's used search term in search, for example, search term " mobile phone ", " Automobile Products ".It clicks
Behavioural information may include the information that click location or click object of user etc. include.Specifically, above-mentioned click object can be with
Be directly displayed in site page or as each item of information that search result is shown, such as may include but unlimited
In picture, video, text, website links etc..
In some optional implementations of the present embodiment, above-mentioned website feature may include type of site, website rule
Mould, average website visiting depth etc..Herein, type of site includes but is not limited to news category website, novel class website, online shopping class
Website, music class website etc.；Site size includes but is not limited to product quantity in website, number of users etc.；And in website feature
Average website visiting depth refer to the average value of website number of pages that user browses during browsing the website, these conditions
Item is well known to those skilled in the art, and therefore not to repeat here.
In some optional implementations of the present embodiment, above-mentioned user characteristics include user behavior characteristics and user
Physical feature.Herein, user behavior characteristics refer to the keyword that webpage, user that user browsed searched for, user's purchase
Commodity and the user be the features such as new/old user of search/browse website, user's physical feature include user age,
The features such as gender, educational background.
Step 202, current model of place is matched at least one default model of place, is obtained and current field
The similarity of scape model is greater than the default model of place of preset threshold.
In the present embodiment, default model of place can pass through historical operation behavioural information, the historical viewings to each user
One or more acquisitions for statistical analysis in the website feature of behavioural information, user characteristics and each website.For example, obtaining
Default model of place can be by means of some parameters to user from news site for the first time access certain music class website this
The model that Web vector graphic scene is characterized.Here, above-mentioned parameter may include following information: user is in news category website and sound
The operation behavior information and/or browsing behavior information of happy class website, the user characteristics of the user, above-mentioned news category website and music
Website feature of class website etc..Or default model of place can also be the old user by means of some parameters to electric business class website
Successively access the model that multiple and different classification this Web vector graphic scene of page are characterized.Here, above-mentioned parameter may include as
Lower information: user is in the operation behavior information and/or browsing behavior information of electric business class website, the user characteristics of the user, the electricity
The website feature etc. of quotient's class website.
In the present embodiment, it after above-mentioned electronic equipment obtains the current model of place of user, can use various
Means match above-mentioned current model of place with above-mentioned default model of place, obtain and the current model of place
Similarity is greater than the default model of place of preset threshold.Specifically, can be by calculating current the included information of model of place
The similarity of current model of place and default model of place is determined with the similarity of the included information of default model of place.Its
In, above-mentioned the included information of model of place can be browsing behavior information or website feature in the model of place etc..Finally, root
Similarity selection and the current matched default model of place of model of place according to above-mentioned acquisition.
In some optional implementations of the present embodiment, it is greater than obtaining with the similarity value of current model of place
After the default model of place of preset threshold, it can also continue to obtain the corresponding feedback push effect of default model of place.It is based on
The similarity and push effect of each above-mentioned default model of place are comprehensively considered, and the default model of place of needs is obtained.
Step 203, rule is pushed based on information associated with acquired default model of place, from multiple to be pushed
At least one pushed information is selected in information and is pushed.
In the present embodiment, it can be obtained associated therewith according to default model of place acquired in step 202
Information push rule, pushes rule using above- mentioned information and selects from the current corresponding multiple information to be pushed of model of place
The pushed information of user can be pushed to.For example, above- mentioned information push rule can be screening rule, base further can be
In the screening rule of time, it can be carried out according to the sequencing of time according to the temporal information of information to be pushed here
Sequence selects ranking near preceding or information to be pushed after as pushed information.
In the present embodiment, at least one pushed information of selection is pushed to user by electronic equipment used by a user.
As an example, above-mentioned pushed information can be presented to user on the screen of the electronic device；Or voice broadcast can also be used
Form is presented above-mentioned pushed information.
With continued reference to the schematic diagram that Fig. 3, Fig. 3 are according to the application scenarios of the information-pushing method of the present embodiment.With
Family current Web vector graphic scene is as shown in the label 301 in Fig. 3, user's initial landing electric business class website, and has input and search
Rope word " mobile phone ", has browsed mobile phone products, and later, above-mentioned user continues to have input search term " Automobile Products ", and clicks
" automobile pillow " picture occurred in result of page searching.Web vector graphic scene based on above-mentioned active user obtains current field
The following parameter information of scape model: relevant operation behavioural information and/or browsing behavior information of the above-mentioned user in electric business class website
(search of such as above-mentioned user, clicks behavioural information at browsing), the user characteristics of the user are (such as whether be above-mentioned electric business class station
The member of point and gender, age etc.) and the electric business class website the website feature (scale and net of such as above-mentioned electric business website
Average access of standing depth etc.).Later, with the relevant search of the user of acquisition, click and browsing information and user characteristics and station
Point feature matches with preset model of place, the default model of place that similarity is greater than preset threshold is obtained, such as 302 institute of label
Show.Finally, as shown in label 303, can be advised with above-mentioned based on being pushed with the associated information of acquired default model of place
Then, at least one pushed information is selected from multiple information to be pushed, and selected pushed information is pushed to above-mentioned use
Family.
The method provided by the above embodiment of the application is by going the operation behavior information of current model of place, browsing
For information, user characteristics, website feature and default model of place operation behavior information, browsing behavior information, user characteristics, stand
Point feature matches, and the associated information for obtaining the default model of place that similarity is greater than threshold value pushes rule, and based on upper
State information push rule selection pushed information, this method solve conventional information method for pushing is complicated for operation and scalability difference is asked
Topic.
With further reference to Fig. 4, it illustrates the processes 400 of another embodiment of information-pushing method.Information push
The process 400 of method, comprising the following steps: step 401, obtain current model of place.
In the present embodiment, electronic equipment (such as server shown in FIG. 1) used by a user can pass through wired company
It connects mode or radio connection obtains current model of place.Herein, model of place includes following parameter information: user
Within a predetermined period of time in the operation behavior information of at least one website and/or browsing behavior information and the use of above-mentioned user
The website feature of family feature and above-mentioned website.Wherein, above-mentioned user's operation behavioural information may include search behavior information and/
Or click behavioural information.
Step 402, based on one or more in operation behavior information, browsing behavior information, user characteristics and website feature
, current model of place is matched at least one default model of place.
In the present embodiment, electronic equipment used by a user obtains the letter of the operation behavior in above-mentioned current model of place
It is one or more in breath, browsing behavior information, user characteristics, website feature, and it is grasped with default model of place respectively
Make behavioural information, browsing behavior information, user characteristics, website feature to match.Finally, based on similarity algorithm etc. obtain with it is upper
The similarity for stating current model of place is greater than the default model of place of preset threshold.
Step 403, information push rule associated with acquired default model of place is obtained.
In the present embodiment, information push rule may include at least one of following: computation rule, ordering rule, adjustment
Rule.Here, computation rule can be according to the above-mentioned acquired corresponding algorithm of default model of place to current scene mould
The rule that the associated data of type is calculated.Above-mentioned algorithm can be the recommendations such as association rule algorithm, collaborative filtering calculation
Method.Above-mentioned data include the content-data etc. in user behavior data associated with model of place and information to be pushed.This
In the user's history webpage information browsed can be collected by electronic equipment used by a user, the keyword searched for is believed
The user behaviors numbers such as the merchandise news of micro-blog information, blog (blog) information that user delivers and the user's purchase cease, delivered
According to.Ordering rule can be the rule being ranked up according to the optimization aim of the default model of place of above-mentioned acquisition to information to be pushed
Then.Wherein, optimization aim includes at least one of the following: clicking rate, content relevance, timeliness, average access depth, average visit
Ask duration.For example, when above-mentioned optimization aim is clicking rate, then according to for predicting that the prediction model of clicking rate treats push letter
The clicking rate of breath is predicted, and prediction result is ranked up according to sequence from big to small.Adjustment rule can be basis
The rule that the business rule of the default model of place of above-mentioned acquisition is adjusted information to be pushed.Wherein, adjustment rule includes
At least one of below: blacklist filtering, novelty, creativeness.For example, when above-mentioned business rule is that blacklist filters, then base
Information to be pushed is filtered in the blacklist of website setting, obtains filtered information to be pushed.
Step 404, at least one pushed information is selected from multiple information to be pushed based on information push rule.
In the present embodiment, electronic equipment used by a user pushes rule by the information in step 403, from it is multiple to
At least one pushed information is selected in pushed information.
Step 405, at least one pushed information is pushed to user.
In the present embodiment, electronic equipment used by a user by obtained in step 404 it is selected at least one push away
Breath of delivering letters is pushed to user.As an example, above-mentioned pushed information can be presented to user on the screen of the electronic device；Or
Above-mentioned pushed information can be presented with the form of voice broadcast.
Figure 4, it is seen that compared with the corresponding embodiment of Fig. 2, the process of the information-pushing method in the present embodiment
400 highlight based on one or more in operation behavior information, browsing behavior information, user characteristics and website feature, will be upper
State the step 402 and obtain and acquired default field that current model of place is matched at least one default model of place
The step 403 of the associated information push rule of scape model.
In some optional implementations of the present embodiment, as shown in figure 5, step 404 " based on information push rule from
At least one pushed information is selected in multiple information to be pushed " it can be implemented by the following steps:
Step 501, multiple targets to be pushed are handled according to computation rule.
In this implementation, electronic equipment used by a user obtains associated with acquired default model of place
The above-mentioned multiple information to be pushed of computation rule processing.Specifically, it is by the acquired corresponding algorithm of default model of place
(such as association rule algorithm, collaborative filtering etc.) calculates the associated data of current model of place, finally from
Calculated result is obtained in multiple information to be pushed.Wherein, above-mentioned data include at least model of place in user behavior data with
And the content-data of information to be pushed.
Step 502, judge whether acquired default model of place has corresponding optimization aim.
In this implementation, electronic equipment used by a user judges whether above-mentioned acquired default model of place has
Corresponding optimization aim.If going to step 507 without corresponding optimization aim, pushed information is obtained, wherein above-mentioned acquisition
Calculated result be pushed information；If there is corresponding optimization aim, then step 503 is gone to.
Step 503, calculated result is ranked up according to ordering rule.
In this implementation, electronic equipment used by a user is based on the acquired corresponding optimization of default model of place
Target is ranked up the calculated result of above-mentioned acquisition.Wherein, optimization aim includes at least one of the following: clicking rate, content phase
Guan Xing, timeliness, average access depth, average access duration etc..For example, when above-mentioned optimization aim is clicking rate, then basis
For predicting that the prediction model of clicking rate predicts the clicking rate of the information to be pushed in calculated result, and by prediction result
It is ranked up according to sequence from big to small.
Step 504, judge whether acquired default model of place has corresponding business rule.
In this implementation, electronic equipment used by a user judges whether above-mentioned acquired default model of place has
Corresponding business rule.If going to step 508 without corresponding business rule, pushed information is obtained, wherein above-mentioned acquisition
Ranking results be pushed information；If there is corresponding business rule, then step 505 is gone to.
Step 505, ranking results are adjusted according to adjustment rule.
In this implementation, electronic equipment used by a user is based on the acquired corresponding business of default model of place
Rule is adjusted the ranking results of above-mentioned acquisition, and obtains adjustment result.Wherein, above-mentioned adjustment includes sequence, filtering, sieve
Choosing etc..For example, the blacklist then based on website setting is in above-mentioned ranking results when above-mentioned business rule is that blacklist filters
Information to be pushed be filtered, obtain filtered result.
Step 506, pushed information is obtained.
In this implementation, adjustment result is pushed information obtained in above-mentioned steps 505, electricity used by a user
Above-mentioned pushed information can be pushed to user by sub- equipment.Here it is possible to be presented on the screen of the electronic device to user above-mentioned
Pushed information；Or above-mentioned pushed information can also be presented with the form of voice broadcast.
The implementation provided by the above embodiment of the application is believed by operation behavior information, the browsing behavior of model of place
The matching of breath, user characteristics and website feature obtains the information push rule such as computation rule, ordering rule, adjustment rule, and root
Pushed information is selected from multiple information to be pushed according to information obtained push rule.This implementation can pass through as a result,
Preset model of place obtains the pushed information of current model of place, to further increase information pushing efficiency and accurate
Property.
With further reference to Fig. 6, as the realization to method shown in above-mentioned each figure, this application provides a kind of push of information to fill
The one embodiment set, the Installation practice is corresponding with embodiment of the method shown in Fig. 2, which specifically can be applied to respectively
In kind electronic equipment.
As shown in fig. 6, information push-delivery apparatus 600 described in the present embodiment includes: acquiring unit 601,602 and of matching unit
Push unit 603.Wherein, acquiring unit 601 is for obtaining current model of place, and wherein model of place includes: user pre-
It is special in the user of the operation behavior information and/or browsing behavior information of at least one website and above-mentioned user in section of fixing time
It seeks peace the website feature of above-mentioned website；Matching unit 602 is used for current model of place and at least one default model of place
It is matched, obtains the default model of place for being greater than preset threshold with the similarity of current model of place；Push unit 603 is used
In pushing rule based on information associated with acquired default model of place, selected at least from multiple information to be pushed
One pushed information is simultaneously pushed.In the present embodiment, the acquiring unit 601 of information push-delivery apparatus 600 can be by wired
Terminal where connection type or radio connection slave site obtains the operation behavior information and/or browsing behavior letter of user
Breath, and with the user characteristics at above-mentioned family and the website feature of above-mentioned website.
In the present embodiment, after acquiring unit 601 obtains the current model of place of user, matching unit 602 can be with base
The current scene mould of one or more calculating in operation behavior information, browsing behavior information, user characteristics and website feature
The similarity value of type and default model of place is greater than the pre- of preset threshold with the similarity value of current model of place to obtain
If model of place is used for push unit 603.Wherein, operation behavior information includes search behavior information and/or click behavior letter
Breath；Website feature includes at least one of the following: type of site, site size, average website visiting depth.Push unit 603 can
With acquisition information push rule associated with the default model of place of above-mentioned acquisition, and it is regular from current to be based on information push
The corresponding multiple information to be pushed of model of place in select at least one pushed information to be pushed to user.Wherein, information pushes away
Rule is sent to include at least one of the following: computation rule, ordering rule, adjustment rule.
It will be understood by those skilled in the art that above- mentioned information driving means 600 further includes some other known features, such as
Processor, memory etc., in order to unnecessarily obscure embodiment of the disclosure, these well known structures are not shown in Fig. 6.
Below with reference to Fig. 7, it illustrates the calculating of the terminal device or server that are suitable for being used to realize the embodiment of the present application
The structural schematic diagram of machine system 700.
As shown in fig. 7, computer system 700 includes central processing unit (CPU) 701, it can be read-only according to being stored in
Program in memory (ROM) 702 or be loaded into the program in random access storage device (RAM) 703 from storage section 708 and
Execute various movements appropriate and processing.In RAM 703, also it is stored with system 700 and operates required various programs and data.
CPU 701, ROM 702 and RAM 703 are connected with each other by bus 704.Input/output (I/O) interface 705 is also connected to always
Line 704.
I/O interface 705 is connected to lower component: the importation 707 including keyboard, mouse etc.；It is penetrated including such as cathode
The output par, c 707 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.；Storage section 708 including hard disk etc.；
And the communications portion 709 of the network interface card including LAN card, modem etc..Communications portion 709 via such as because
The network of spy's net executes communication process.Driver 710 is also connected to I/O interface 705 as needed.Detachable media 711, such as
Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 710, in order to read from thereon
Computer program be mounted into storage section 708 as needed.
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product comprising be tangibly embodied in machine readable
Computer program on medium, the computer program include the program code for method shown in execution flow chart.At this
In the embodiment of sample, which can be downloaded and installed from network by communications portion 709, and/or from removable
Medium 711 is unloaded to be mounted.
Flow chart and block diagram in attached drawing are illustrated according to the system of the various embodiments of the application, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, program segment or code of table, a part of the module, program segment or code include one or more
Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box
The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical
On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants
It is noted that the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart, Ke Yiyong
The dedicated hardware based system of defined functions or operations is executed to realize, or can be referred to specialized hardware and computer
The combination of order is realized.
Being described in unit involved in the embodiment of the present application can be realized by way of software, can also be by hard
The mode of part is realized.Described unit also can be set in the processor, for example, can be described as: a kind of processor packet
Include acquiring unit, matching unit and push unit.Wherein, the title of these units is not constituted under certain conditions to the unit
The restriction of itself, for example, acquiring unit is also described as " obtaining the unit of current model of place ".
As on the other hand, present invention also provides a kind of nonvolatile computer storage media, the non-volatile calculating
Machine storage medium can be nonvolatile computer storage media included in device described in above-described embodiment；It is also possible to
Individualism, without the nonvolatile computer storage media in supplying terminal.Above-mentioned nonvolatile computer storage media is deposited
One or more program is contained, when one or more of programs are executed by an equipment, so that the equipment: obtaining
Current model of place, wherein model of place includes: that user believes in the operation behavior of at least one website within a predetermined period of time
The website feature of breath and/or the user characteristics and the website of browsing behavior information and the user；By the current field
Scape model is matched at least one default model of place, is obtained to be greater than with the similarity of the current model of place and be preset
The default model of place of threshold value；Rule is pushed based on information associated with acquired default model of place, from multiple wait push away
At least one pushed information is selected in the information sent and is pushed.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from the inventive concept, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed herein
Can technical characteristic replaced mutually and the technical solution that is formed.
Claims (8)
1. a kind of information-pushing method characterized by comprising
Current model of place is obtained, wherein model of place includes: user within a predetermined period of time in the behaviour of at least one website
Make the user characteristics of behavioural information and/or browsing behavior information and the user and the website feature of the website, the behaviour
It include search behavior information and/or click behavioural information as behavioural information；
The current model of place is matched at least one default model of place, is obtained and the current scene mould
The similarity of type is greater than the default model of place of preset threshold；
Based on information associated with acquired default model of place push rule, from multiple information to be pushed selection to
A few pushed information is simultaneously pushed.
2. information-pushing method according to claim 1, which is characterized in that the website feature includes following at least one
: type of site, site size, average website visiting depth.
3. information-pushing method described in one of -2 according to claim 1, which is characterized in that described by the current scene mould
Type is matched at least one default model of place, comprising:
It, will be described current based on one or more in operation behavior information, browsing behavior information, user characteristics and website feature
Model of place matched at least one described default model of place.
4. information-pushing method according to claim 1, which is characterized in that information push rule include it is following at least
One: computation rule, ordering rule, adjustment rule.
5. a kind of information push-delivery apparatus characterized by comprising
Acquiring unit, for obtaining current model of place, wherein model of place includes: user within a predetermined period of time at least
The station of the user characteristics and the website of the operation behavior information and/or browsing behavior information and the user of one website
Point feature, the operation behavior information include search behavior information and/or click behavioural information；
Matching unit, for the current model of place to be matched at least one default model of place, acquisition and institute
The similarity for stating current model of place is greater than the default model of place of preset threshold；
Push unit, for pushing rule based on information associated with acquired default model of place, from multiple wait push
Information in select at least one pushed information and pushed.
6. information push-delivery apparatus according to claim 5, which is characterized in that the website feature includes following at least one
: type of site, site size, average website visiting depth.
7. the information push-delivery apparatus according to one of claim 5-6, which is characterized in that the matching unit is specifically used for:
It, will be described current based on one or more in operation behavior information, browsing behavior information, user characteristics and website feature
Model of place matched at least one described default model of place, obtain the similarity with the current model of place
Greater than the default model of place of preset threshold.
8. information push-delivery apparatus according to claim 5, which is characterized in that information push rule include it is following at least
One: computation rule, ordering rule, adjustment rule.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510710944.2A CN105320766B (en) | 2015-10-28 | 2015-10-28 | Information-pushing method and device |
| PCT/CN2016/086214 WO2017071251A1 (en) | 2015-10-28 | 2016-06-17 | Information pushing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510710944.2A CN105320766B (en) | 2015-10-28 | 2015-10-28 | Information-pushing method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105320766A CN105320766A (en) | 2016-02-10 |
| CN105320766B true CN105320766B (en) | 2019-04-19 |
Family
ID=55248152
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510710944.2A Active CN105320766B (en) | 2015-10-28 | 2015-10-28 | Information-pushing method and device |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN105320766B (en) |
| WO (1) | WO2017071251A1 (en) |
Families Citing this family (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105320766B (en) * | 2015-10-28 | 2019-04-19 | 百度在线网络技术（北京）有限公司 | Information-pushing method and device |
| CN107436893A (en) * | 2016-05-26 | 2017-12-05 | 北京搜狗科技发展有限公司 | A kind of webpage recommending method and device |
| CN106294778B (en) * | 2016-08-11 | 2019-09-10 | 北京小米移动软件有限公司 | Information-pushing method and device |
| CN107733775A (en) * | 2016-08-12 | 2018-02-23 | 北京京东尚科信息技术有限公司 | Information-pushing method and device |
| CN106548364B (en) * | 2016-09-27 | 2020-12-11 | 腾讯科技（北京）有限公司 | Information sending method and device |
| CN106572390B (en) * | 2016-11-09 | 2020-03-13 | 咪咕音乐有限公司 | Audio and video recommendation method and equipment |
| CN107341172B (en) * | 2017-05-12 | 2020-06-19 | 阿里巴巴（中国）有限公司 | Video profit calculation modeling device and method and video recommendation device and method |
| CN107147724A (en) * | 2017-05-23 | 2017-09-08 | 深圳市金立通信设备有限公司 | A kind of information push method, server and computer-readable recording medium |
| CN110049079A (en) * | 2018-01-16 | 2019-07-23 | 阿里巴巴集团控股有限公司 | Information push and model training method, device, equipment and storage medium |
| CN108470034B (en) * | 2018-02-01 | 2019-09-20 | 百度在线网络技术（北京）有限公司 | A kind of smart machine service providing method and system |
| CN111898019B (en) * | 2019-05-06 | 2024-04-16 | 北京达佳互联信息技术有限公司 | Information pushing method and device |
| CN110427453B (en) * | 2019-05-31 | 2024-03-19 | 平安科技（深圳）有限公司 | Data similarity calculation method, device, computer equipment and storage medium |
| CN112231594B (en) * | 2019-06-27 | 2024-04-12 | 北京百度网讯科技有限公司 | Information processing method and device |
| CN110910201B (en) * | 2019-10-18 | 2023-08-29 | 中国平安人寿保险股份有限公司 | Information recommendation control method and device, computer equipment and storage medium |
| CN111191115B (en) * | 2019-12-10 | 2022-10-11 | 未鲲(上海)科技服务有限公司 | Information pushing method and device based on user data |
| CN111556116B (en) * | 2020-04-22 | 2023-05-30 | 深圳市元征科技股份有限公司 | Training media pushing method, training media display method and related device |
| CN111600952B (en) * | 2020-05-15 | 2021-09-07 | 华人运通(上海)云计算科技有限公司 | Scene pushing method, scene pushing execution device, terminal, server and scene pushing system |
| CN111831903A (en) * | 2020-06-15 | 2020-10-27 | 北京嘀嘀无限科技发展有限公司 | Service site recommendation method, device, equipment and storage medium |
| CN111859156B (en) * | 2020-08-04 | 2024-02-02 | 上海秒针网络科技有限公司 | Method and device for determining distribution crowd, readable storage medium and electronic equipment |
| CN112541123A (en) * | 2020-12-24 | 2021-03-23 | 北京百度网讯科技有限公司 | Map region recommendation method, device, equipment and storage medium |
| CN114326423A (en) * | 2021-12-21 | 2022-04-12 | 美的集团股份有限公司 | Automatic generation method of scene control scheme and scene control equipment |
| CN114398558B (en) * | 2022-01-19 | 2023-05-23 | 北京百度网讯科技有限公司 | Information recommendation method, device, electronic equipment and storage medium |
| CN115580649B (en) * | 2022-08-31 | 2024-05-03 | 嘉兴学院 | Intelligent information pushing method based on user network behaviors |
| CN115665699B (en) * | 2022-12-27 | 2023-03-28 | 博信通信股份有限公司 | Multi-scene signal coverage optimization method, device, equipment and medium |
| CN116112549A (en) * | 2023-01-13 | 2023-05-12 | 岚图汽车科技有限公司 | Vehicle scene recommendation method and related equipment |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104679743A (en) * | 2013-11-26 | 2015-06-03 | 阿里巴巴集团控股有限公司 | Method and device for determining preference model of user |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101520878A (en) * | 2009-04-03 | 2009-09-02 | 华为技术有限公司 | Method, device and system for pushing advertisements to users |
| CN102460431B (en) * | 2009-05-08 | 2018-01-19 | 佐科姆有限公司 | Behavior and the system and method for context data analysis |
| CN103064863B (en) * | 2011-10-24 | 2018-01-12 | 北京百度网讯科技有限公司 | A kind of method and apparatus that recommendation information is provided |
| CN103399860A (en) * | 2013-07-04 | 2013-11-20 | 北京百纳威尔科技有限公司 | Content display method and device |
| CN103428075A (en) * | 2013-08-20 | 2013-12-04 | 贝壳网际（北京）安全技术有限公司 | Information pushing method and device |
| CN104008184A (en) * | 2014-06-10 | 2014-08-27 | 百度在线网络技术（北京）有限公司 | Method and device for pushing information |
| CN105320766B (en) * | 2015-10-28 | 2019-04-19 | 百度在线网络技术（北京）有限公司 | Information-pushing method and device |
-
2015
- 2015-10-28 CN CN201510710944.2A patent/CN105320766B/en active Active
-
2016
- 2016-06-17 WO PCT/CN2016/086214 patent/WO2017071251A1/en active Application Filing
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104679743A (en) * | 2013-11-26 | 2015-06-03 | 阿里巴巴集团控股有限公司 | Method and device for determining preference model of user |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105320766A (en) | 2016-02-10 |
| WO2017071251A1 (en) | 2017-05-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105320766B (en) | Information-pushing method and device | |
| CN103329151B (en) | Recommendation based on topic cluster | |
| CN105117491B (en) | Page push method and apparatus | |
| WO2017035970A1 (en) | Information pushing method and apparatus | |
| CN108805594B (en) | Information pushing method and device | |
| CN107105031A (en) | Information-pushing method and device | |
| CN110363604B (en) | Page generation method and device | |
| CN105488205B (en) | Page generation method and device | |
| CN107426328B (en) | Information pushing method and device | |
| CN105095470B (en) | Data recommendation method and device for application program | |
| CA2944652C (en) | Inference model for traveler classification | |
| CN108228906B (en) | Method and apparatus for generating information | |
| CN107730337A (en) | Information-pushing method and device | |
| JP5905551B1 (en) | Information processing device, terminal device, information processing method, and information processing program | |
| CN110866040B (en) | User portrait generation method, device and system | |
| CN107977678A (en) | Method and apparatus for output information | |
| KR102284647B1 (en) | Method and device for online advertisement using sns user's activity information | |
| JP6407318B2 (en) | Information processing device, terminal device, information processing method, and information processing program | |
| JP6680663B2 (en) | Information processing apparatus, information processing method, prediction model generation apparatus, prediction model generation method, and program | |
| JP6085700B2 (en) | Information processing device, terminal device, information processing method, and information processing program | |
| CN110020108A (en) | Network resource recommended method, device, computer equipment and storage medium | |
| CN111770125A (en) | Method and device for pushing information | |
| KR101990502B1 (en) | a device and a method for extracting generalized information | |
| CN112395109B (en) | Clipboard content processing method and device | |
| JP2016062501A (en) | Extractor, and method and program for extraction |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |