CN109783741A - Method and apparatus for pushed information - Google Patents
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- CN109783741A CN109783741A CN201910099389.2A CN201910099389A CN109783741A CN 109783741 A CN109783741 A CN 109783741A CN 201910099389 A CN201910099389 A CN 201910099389A CN 109783741 A CN109783741 A CN 109783741A
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Abstract
The embodiment of the present application discloses the method and apparatus for pushed information.One specific embodiment of this method includes: to obtain user's portrait information of target user；Obtain the article portrait information of target item；Based on user's portrait information, article portrait information and disaggregated model trained in advance, the match information of target user and target item are generated；It is matched in response to the match information instruction target user that disaggregated model generates with target item, to the recommendation information of the terminal of target user push target item.The information push-mechanism based on user's portrait information and article portrait information that this embodiment offers a kind of, improves information pushing efficiency.
Description
Technical field
The invention relates to field of computer technology, the more particularly, to method and apparatus of pushed information.
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.
Summary of the invention
The embodiment of the present application proposes the method and apparatus for pushed information.
In a first aspect, some embodiments of the present application provide a kind of method for pushed information, this method comprises: obtaining
Take user's portrait information of target user；Obtain the article portrait information of target item；Based on user's portrait information, article portrait
Information and disaggregated model trained in advance, generate the match information of target user and target item；It is raw in response to disaggregated model
At match information instruction target user match with target item, the recommendation of target item is pushed to the terminal of target user
Breath.
In some embodiments, user's portrait information includes at least one of the following: that article provider preference information, business are inclined
Good information, geographical location information, income information.
In some embodiments, user's portrait information is generated via following steps: being obtained in following user information
At least one of: search keyword information clicks behavioural information, search results pages content information, geographical location information, terminal device
Information；User's portrait information is generated according to the user information got.
In some embodiments, raw based on user's portrait information, article portrait information and disaggregated model trained in advance
At the match information of target user and target item, comprising: determine whether user browsed the page of target item in default website
Face；Based on identified browsing information, user's portrait information, article portrait information and disaggregated model trained in advance, generate
The match information of target user and target item.
In some embodiments, article portrait information, includes at least one of the following: article provider information, item associations
Business information, the urban information of item associations, air control information.
In some embodiments, article portrait information is generated via following steps: being obtained in following Item Information
At least one of: the information of trade company involved by article benefits information, business；Article portrait letter is generated according to the Item Information got
Breath.
Second aspect, some embodiments of the present application provide a kind of device for pushed information, which includes:
One acquiring unit is configured to obtain user's portrait information of target user；Second acquisition unit is configured to obtain object
The article portrait information of product；Match information generation unit, the information that is configured to draw a portrait based on user, article portrait information and pre-
First trained disaggregated model generates the match information of target user and target item；Push unit is configured in response to classify
The match information instruction target user that model generates matches with target item, to pushing away for the terminal of target user push target item
Recommend information.
In some embodiments, user's portrait information includes at least one of the following: that article provider preference information, business are inclined
Good information, geographical location information, income information.
In some embodiments, device further includes user's portrait information generating unit, user's portrait information generating unit, packet
Include: first obtains subelement, is configured to obtain at least one in following user information: search keyword information clicks row
For information, search results pages content information, geographical location information, terminal device information；User's portrait information generates subelement, quilt
It is configured to generate user's portrait information according to the user information got.
In some embodiments, match information generation unit, comprising: determine subelement, whether be configured to determine user
Browsed the page of target item in default website；Match information generates subelement, is configured to believe based on identified browsing
Breath, user's portrait information, article portrait information and disaggregated model trained in advance, generate of target user and target item
With information.
In some embodiments, article portrait information, includes at least one of the following: article provider information, item associations
Business information, the urban information of item associations, air control information.
In some embodiments, device further includes article portrait information generating unit, article portrait information generating unit, packet
Include: second obtains subelement, is configured to obtain at least one in following Item Information: involved by article benefits information, business
And the information of trade company；Article portrait information generates subelement, is configured to generate article portrait according to the Item Information got
Information.
The third aspect, some embodiments of the present application provide a kind of equipment, comprising: one or more processors；Storage
Device is stored thereon with one or more programs, when said one or multiple programs are executed by said one or multiple processors,
So that said one or multiple processors realize such as the above-mentioned method of first aspect.
Fourth aspect, some embodiments of the present application provide a kind of computer-readable medium, are stored thereon with computer
Program realizes such as first aspect above-mentioned method when the program is executed by processor.
Method and apparatus provided by the embodiments of the present application for pushed information, the user by obtaining target user draw a portrait
Information；Obtain the article portrait information of target item；Based on user's portrait information, article portrait information and point of training in advance
Class model generates the match information of target user and target item；Target is indicated in response to the match information that disaggregated model generates
User matches with target item, to the recommendation information of the terminal of target user push target item, provides a kind of based on user
The information push-mechanism of information of drawing a portrait and article portrait information, improves information pushing efficiency.
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 some of the application can be applied to exemplary system architecture figure therein；
Fig. 2 is the flow chart according to one embodiment of the method for pushed information of the application；
Fig. 3 is a schematic diagram according to the application scenarios of the method for pushed information of the application；
Fig. 4 is the flow chart according to another embodiment of the method for pushed information of the application；
Fig. 5 is the structural schematic diagram according to one embodiment of the device for pushed information of the application；
Fig. 6 is adapted for showing for the structure of the computer system of the server or terminal of realizing some embodiments of the present application
It is intended to.
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 method for pushed information of the application or the implementation of the device for pushed information
The exemplary system architecture 100 of example.
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..It can be equipped on terminal device 101,102,103 at various client applications, such as financial class application, image
Manage class application, e-commerce application, searching class application etc..
Terminal device 101,102,103 can be hardware, be also possible to software.When terminal device 101,102,103 is hard
When part, it can be the various electronic equipments with display screen, including but not limited to smart phone, tablet computer, on knee portable
Computer and desktop computer etc..When terminal device 101,102,103 is software, above-mentioned cited electricity may be mounted at
In sub- equipment.Multiple softwares or software module may be implemented into it, and single software or software module also may be implemented into.Herein not
It is specifically limited.
Server 105 can be to provide the server of various services, such as to installing on terminal device 101,102,103
Using the background server that offer is supported, user's portrait information of the available target user of server 105；Obtain target item
Article draw a portrait information；Based on user's portrait information, article portrait information and disaggregated model trained in advance, generates target and use
The match information at family and target item；The match information instruction target user generated in response to disaggregated model and target item
Match, to the recommendation information of the terminal of target user push target item.
It should be noted that the method provided by the embodiment of the present application for pushed information can be held by server 105
Row, can also be executed, correspondingly, the device for pushed information can be set in server by terminal device 101,102,103
In 105, also it can be set in terminal device 101,102,103.
It should be noted that server can be hardware, it is also possible to software.When server is hardware, may be implemented
At the distributed server cluster that multiple servers form, individual server also may be implemented into.It, can when server is software
To be implemented as multiple softwares or software module (such as providing Distributed Services), single software or software also may be implemented into
Module.It is not specifically limited herein.
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, the process of one embodiment of the method for pushed information according to the application is shown
200.This is used for the method for pushed information, comprising the following steps:
Step 201, user's portrait information of target user is obtained.
It in the present embodiment, can for the method executing subject of pushed information (such as server shown in FIG. 1 or terminal)
To obtain user's portrait information of target user first.Target user can be it is to be determined whether to its pushed information user,
It may include the potential user of target item.The information of target user can store in above-mentioned executing subject or cloud server,
Above-mentioned executing subject can by directly read or data processing from the message of storage get target user user draw a portrait letter
Breath.Keyword will be searched for and/or accessed the user of the page including keyword and be determined as target user, as an example, mesh
Mark article is credit card, and target user can be the user for searching for " application credit card ", can push pushing away for credit card to it
Information is recommended, target item is house property, and target object is also possible to search for the user of house property information, and source of houses letter can be pushed to it
Breath.
In the present embodiment, user's portrait information can be obtained by the historical record of the used application of user or website
It takes, for example, the registration information submitted when user's registration, the content of pages that user often accesses, user search for the keyword used.
User draw a portrait information may include user various attributive character, for example, the age, occupation, educational background, marital status, level of education,
Personal interest, geographical location etc..
In some optional implementations of the present embodiment, user's portrait information includes at least one of the following: that article provides
Square preference information, business preference information, geographical location information, income information.Geographical location information may include what user resided
City.Income information can be used for analyzing user credit, for example, target item is credit card, it can be the wind of letter of application card
It controls model and data is provided.Article provider's preference information can be the preference information of manufacturer or dealer to article, for example,
Target item is credit card, and article provider's preference information may include the credit card credit card issuer of user preference.Business preference letter
Breath can be user to the preference information of the business of item associations.For example, target item is credit card, business preference information can be with
The associated merchant information of credit card of business information or user preference including user preference, business information may include financial phase
Pass business, such as: loan, buying car, travels, withdraws deposit at house-purchase, and target item is mobile phone card, and business preference information may include using
The information such as the flow package of family preference or voice communication set meal.
In some optional implementations of the present embodiment, user's portrait information is generated via following steps: being obtained
At least one of in following user information: search keyword information clicks behavioural information, search results pages content information, geography
Location information, terminal device information；User's portrait information is generated according to the user information got.Terminal device information can wrap
Include terminal brand, system, version number etc..By by the exclusive target of the information architectures such as the search of user, internet behavior, geographical location
User's portrait information of article further improves the accuracy of information push for following model use.
In this implementation, above-mentioned executing subject can be calculated based on the acquisition of information rule pre-established and/or classification
Method obtains user's portrait information, and acquisition of information rule can be configured according to actual needs with sorting algorithm, as an example, on
State executing subject can according to pre-set information extraction rule from the search keyword information of user, click behavioural information,
User's portrait information, the article provider or accessed that also available user searched for are extracted in search results pages content information
The information of the article provider of its website, then these information inputs to sorting algorithm are determined to the article provider of user preference.
Search results pages content information can also be input to topic model (topic model) by above-mentioned executing subject, above-mentioned to obtain
Preference information.Topic model is in a manner of unsupervised learning to the implicit semantic structure of collected works (latent semantic
Structure the statistical model of (clustering)) is clustered.Topic model is primarily used to natural language processing
Semantic analysis (semantic analysis) and text mining (text in (Natural language processing)
Mining) problem, such as by theme text is collected, classified and dimensionality reduction；Also it is used for bioinformatics
(bioinfomatics) it studies.Implicit Di Li Cray distribution (Latent Dirichlet Allocation, LDA) is common
Topic model.
Step 202, the article portrait information of target item is obtained.
In the present embodiment, the article portrait information of the available target item of above-mentioned executing subject.It should be noted that
Step 202 can be executed prior to step 201, can also be executed, can also be performed simultaneously with step 201 in step 201 later.Article
It may include physical item and virtual objects, such as financial product.Target item may include the object of its potential user to be determined
The user volume of target item can be improved by the recommendation information to user's pushes customer target item in product.Article portrait information
It may include appearance information, the functional information etc. of article, can be selected according to actual needs.The information of target item can be with
It is stored in above-mentioned executing subject or cloud server, above-mentioned executing subject can be by directly reading or data processing is from storage
Message gets the article portrait information of target item.
In some optional implementations of the present embodiment, article portrait information includes at least one of the following: that article provides
Square information, the business information of item associations, the urban information of item associations, air control information.Article provider may include article
The producer or sellers etc., the business information of item associations may include the description information for the business of item associations itself
Or provide the information of the trade company of business.As an example, target item is credit card, business information may include financial related industry
Business, such as: loan, buying car, travels, withdraws deposit at house-purchase, also may include the information for cooperating trade company.
In some optional implementations of the present embodiment, article portrait information is generated via following steps: being obtained
At least one of in following Item Information: the information of trade company involved by article benefits information, business；According to the article letter got
Breath generates article portrait information.As an example, target item is credit card, article benefits information may include " ordering and taking out, roll into a ball
Purchase, single highest is vertical to subtract 77 yuan "；" specified deluxe hotel's buffet is bought one and present one "；" specified deluxe hotel lives 3 pair 2 ", industry
The information of trade company involved by being engaged in may include taking out, purchasing by group businessman, specified deluxe hotel etc..
In this implementation, by the information of trade company involved by article benefits information, business, target item portrait is constructed
Information, it is subsequent in this way to may be implemented more precisely to match, further improve the accuracy of information push.
In this implementation, above-mentioned executing subject can be calculated based on the acquisition of information rule pre-established and/or classification
Method obtains article portrait information.Topic model can be used and extract keyword feature, in conjunction with the keyword of the corresponding trade company of equity
Feature, composition article portrait information, can be corresponding with user's Figure Characteristics dimension.
Step 203, based on user's portrait information, article portrait information and disaggregated model trained in advance, target is generated
The match information of user and target item.
In the present embodiment, above-mentioned executing subject can be based on user the portrait information, step 202 obtained in step 201
The article portrait information of middle acquisition and disaggregated model trained in advance, generate the match information of target user and target item.
Disaggregated model can be used for characterizing the matching of the user's portrait information, article portrait information and target user and target item of input
The corresponding relationship of information.Can be using the portrait of the sample of users in sample set information, sample article portrait information as input, it will
The match information of the sample object user and sample object article that mark in sample set train initial simple shellfish as exporting
This model (Naive Bayesian Model, NBM) of leaf or support vector machines (Support Vector Machine, SVM) etc.
For the model of classification, disaggregated model is obtained.As an example, target item is credit card, the mark of match information in sample set
Label data can come from the data that user clicks and applies for credit card.Disaggregated model is also possible to technical staff and is based on to a large amount of
User draw a portrait information, article portrait information and match information statistics and pre-establish, be stored with user draw a portrait information, article
The mapping table of the corresponding relationship of information of drawing a portrait and match information.Match information may include whether matching, matched probability
With unmatched probability.Probability threshold value can be set, if the matched probability of output is greater than pre-set probability threshold value, recognize
Indicate that target user matches with target item for match information.
Step 204, it is matched in response to the match information instruction target user that disaggregated model generates with target item, to target
The recommendation information of the terminal push target item of user.
In the present embodiment, the match information that above-mentioned executing subject can be generated in response to disaggregated model in step 203 refers to
Show that target user matches with target item, to the recommendation information of the terminal of target user push target item.Above-mentioned executing subject
Information to be pushed directly can be pushed to its terminal, the push time that also available user submits, according to the push got
Recommendation information of the time to its terminal push target item.Recommendation information can be pre-set, be also possible to set from advance
Choose what information segment combined in the information segment set set.
As an example, above-mentioned executing subject can pass through short message, mail, the notification information of application software, social software
The forms such as communication information to the terminal of target user push target item recommendation information, recommendation information can be text, voice,
The formats such as image.As an example, target item be credit card, recommendation information may include " it is said that everyone can have a letter
With card? it bids to host simply, fully withdraws deposit, exempt from annual fee ".
User's portrait information that the method provided by the above embodiment of the application passes through acquisition target user；Obtain object
The article portrait information of product；Based on user's portrait information, article portrait information and disaggregated model trained in advance, target is generated
The match information of user and target item；The match information instruction target user generated in response to disaggregated model and target item
Match, to the recommendation information of the terminal of target user push target item, provides one kind and drawn based on user's portrait information and article
As the information push-mechanism of information, information pushing efficiency is improved, saves hardware resource required when carrying out information push.
With continued reference to the signal that Fig. 3, Fig. 3 are according to the application scenarios of the method for pushed information of the present embodiment
Figure.In the application scenarios of Fig. 3, server 301 obtains user's portrait information 303 of the target user of using terminal 302 first
And target item 304 article draw a portrait information 305, then based on user draw a portrait information 303, article portrait information 305 and
Trained disaggregated model 306 in advance generates the target user of using terminal 302 and the match information 307 of target item 304, most
Indicate that the target user of using terminal 302 matches with target item 304 in response to the match information 307 that disaggregated model generates afterwards,
To the recommendation information of the terminal 302 of target user push target item.
With further reference to Fig. 4, it illustrates the processes 400 of another embodiment of the method for pushed information.The use
In the process 400 of the method for pushed information, comprising the following steps:
Step 401, user's portrait information of target user is obtained.
It in the present embodiment, can for the method executing subject of pushed information (such as server shown in FIG. 1 or terminal)
To obtain user's portrait information of target user first.
Step 402, the article portrait information of target item is obtained.
In the present embodiment, the article portrait information of the available target item of above-mentioned executing subject.It should be noted that
Step 402 can be executed prior to step 401, can also be executed, can also be performed simultaneously with step 401 in step 401 later.
Step 403, determine whether user browsed the page of target item in default website.
In the present embodiment, above-mentioned executing subject can determine whether user browsed the page of target item in default website
Face.Default website can be the page including target item, the website that its user browses record can be got, for example, electronics quotient
Business website or financial product website, the page of target item may include the displayed page of target item, the application page or purchase
Page etc..
Step 404, based on identified browsing information, user's portrait information, article portrait information and training in advance
Disaggregated model generates the match information of target user and target item.
In the present embodiment, above-mentioned executing subject can be based in browsing information identified in step 403, step 401
The user of acquisition draws a portrait information, the article portrait information that obtains in step 402 and disaggregated model trained in advance, generates target
The match information of user and target item.
Disaggregated model can be used for characterizing the browsing information of input, user draws a portrait, and information, article portrait information and target are used
The corresponding relationship of the match information of family and target item.Can by sample set browsing information, sample of users portrait information,
Sample article draws a portrait information as input, and the matching of the sample object user marked in sample set and sample object article is believed
Breath obtains disaggregated model as output, the model for classification such as training initial model-naive Bayesian or support vector machines.
As an example, target item is credit card, the label data of match information can come from user's click and application in sample set
The data of credit card.Disaggregated model is also possible to technical staff and is based on draw a portrait to a large amount of browsing information, user information, article picture
Pre-established as the statistics of information and match information, be stored with browsing information, user draw a portrait information, article portrait information with
The mapping table of the corresponding relationship of match information.
Step 405, it is matched in response to the match information instruction target user that disaggregated model generates with target item, to target
The recommendation information of the terminal push target item of user.
In the present embodiment, the match information that above-mentioned executing subject can be generated in response to disaggregated model in step 404 refers to
Show that target user matches with target item, to the recommendation information of the terminal of target user push target item.
In the present embodiment, step 401, step 402, the operation of step 405 and step 201, step 202, step 204
Operate essentially identical, details are not described herein.
Figure 4, it is seen that the method for pushed information compared with the corresponding embodiment of Fig. 2, in the present embodiment
Process 400 in semantics recognition carried out to pretreated feedback information by semantics recognition model trained in advance, as a result, this
The match information that the scheme of embodiment description is determined is more accurate, further improves the efficiency of information push.
With further reference to Fig. 5, as the realization to method shown in above-mentioned each figure, this application provides one kind for pushing letter
One embodiment of the device of breath, the Installation practice is corresponding with embodiment of the method shown in Fig. 2, which can specifically answer
For in various electronic equipments.
As shown in figure 5, the device 500 for pushed information of the present embodiment includes: first acquisition unit 501, second obtains
Take unit 502, match information generation unit 503, push unit 504.Wherein, first acquisition unit is configured to obtain target
User's portrait information of user；Second acquisition unit is configured to obtain the article portrait information of target item；Match information is raw
At unit, it is configured to draw a portrait based on user information, article portrait information and disaggregated model trained in advance, target is generated and uses
The match information at family and target item；Push unit is configured in response to the match information instruction target of disaggregated model generation
User matches with target item, to the recommendation information of the terminal of target user push target item.
In the present embodiment, for the first acquisition unit 501 of the device of pushed information 500, second acquisition unit 502,
The specific processing of match information generation unit 503, push unit 504 can refer to step 201, step in Fig. 2 corresponding embodiment
Rapid 202, step 203 and step 204.
In some optional implementations of the present embodiment, user's portrait information includes at least one of the following: that article provides
Square preference information, business preference information, geographical location information, income information.
In some optional implementations of the present embodiment, device further includes user's portrait information generating unit, Yong Huhua
As information generating unit, comprising: first obtains subelement, is configured to obtain at least one in following user information: search
Key word information clicks behavioural information, search results pages content information, geographical location information, terminal device information；User's portrait
Information generates subelement, is configured to generate user's portrait information according to the user information got.
In some optional implementations of the present embodiment, match information generation unit, comprising: determine subelement, matched
It is set to the page whether determining user browsed target item in default website；Match information generates subelement, is configured to base
In identified browsing information, user's portrait information, article portrait information and disaggregated model trained in advance, generates target and use
The match information at family and target item.
In some optional implementations of the present embodiment, article portrait information includes at least one of the following: that article provides
Square information, the business information of item associations, the urban information of item associations, air control information.
In some optional implementations of the present embodiment, device further includes article portrait information generating unit, and article is drawn
As information generating unit, comprising: second obtains subelement, is configured to obtain at least one in following Item Information: article
The information of trade company involved by benefits information, business；Article portrait information generates subelement, is configured to according to the article got
Information generates article portrait information.
The device provided by the above embodiment of the application, by the user's portrait information for obtaining target user；Obtain target
The article portrait information of article；Based on user's portrait information, article portrait information and disaggregated model trained in advance, mesh is generated
Mark the match information of user and target item；The match information instruction target user generated in response to disaggregated model and target item
Matching provides a kind of based on user's portrait information and article to the recommendation information of the terminal of target user push target item
The information push-mechanism for information of drawing a portrait, improves information pushing efficiency.
Below with reference to Fig. 6, it illustrates the server for being suitable for being used to realize the embodiment of the present application or the departments of computer science of terminal
The structural schematic diagram of system 600.Server or terminal shown in Fig. 6 are only an example, should not be to the function of the embodiment of the present application
Any restrictions can be brought with use scope.
As shown in fig. 6, computer system 600 includes central processing unit (CPU) 601, it can be read-only according to being stored in
Program in memory (ROM) 602 or be loaded into the program in random access storage device (RAM) 603 from storage section 608 and
Execute various movements appropriate and processing.In RAM 603, also it is stored with system 600 and operates required various programs and data.
CPU 601, ROM 602 and RAM 603 are connected with each other by bus 604.Input/output (I/O) interface 605 is also connected to always
Line 604.
It can connect with lower component to I/O interface 605: the importation 606 including keyboard, mouse etc.；Including all
The output par, c 607 of such as cathode-ray tube (CRT), liquid crystal display (LCD) and loudspeaker etc.；Storage including hard disk etc.
Part 608；And the communications portion 609 of the network interface card including LAN card, modem etc..Communications portion 609 passes through
Communication process is executed by the network of such as internet.Driver 610 is also connected to I/O interface 605 as needed.Detachable media
611, such as disk, CD, magneto-optic disk, semiconductor memory etc., are mounted on as needed on driver 610, in order to from
The computer program read thereon is mounted into storage section 608 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 carried on computer-readable medium
On computer program, which includes the program code for method shown in execution flow chart.In such reality
It applies in example, which can be downloaded and installed from network by communications portion 609, and/or from detachable media
611 are mounted.When the computer program is executed by central processing unit (CPU) 601, limited in execution the present processes
Above-mentioned function.It should be noted that computer-readable medium described herein can be computer-readable signal media or
Computer-readable medium either the two any combination.Computer-readable medium for example can be --- but it is unlimited
In system, device or the device of --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, or any above combination.It calculates
The more specific example of machine readable medium can include but is not limited to: electrical connection, portable meter with one or more conducting wires
Calculation machine disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable programmable read only memory
(EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device or
The above-mentioned any appropriate combination of person.In this application, computer-readable medium, which can be, any includes or storage program has
Shape medium, the program can be commanded execution system, device or device use or in connection.And in the application
In, computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal, wherein
Carry computer-readable program code.The data-signal of this propagation can take various forms, including but not limited to electric
Magnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer-readable Jie
Any computer-readable medium other than matter, the computer-readable medium can be sent, propagated or transmitted for being held by instruction
Row system, device or device use or program in connection.The program code for including on computer-readable medium
It can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. or above-mentioned any conjunction
Suitable combination.
The calculating of the operation for executing the application can be write with one or more programming languages or combinations thereof
Machine program code, described program design language include object oriented program language-such as Java, Smalltalk, C+
+, it further include conventional procedural programming language-such as C language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.?
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service
It is connected for quotient by internet).
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 use
The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are actually
It 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 to infuse
Meaning, the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart can be with holding
The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction
Combination realize.
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 first acquisition unit, second acquisition unit, match information generation unit and push unit.Wherein, the title of these units exists
The restriction to the unit itself is not constituted in the case of certain, for example, first acquisition unit is also described as " being configured to
Obtain the unit of user's portrait information of target user ".
As on the other hand, present invention also provides a kind of computer-readable medium, which be can be
Included in device described in above-described embodiment；It is also possible to individualism, and without in the supplying device.Above-mentioned calculating
Machine readable medium carries one or more program, when said one or multiple programs are executed by the device, so that should
Device: user's portrait information of target user is obtained；Obtain the article portrait information of target item；Based on user draw a portrait information,
Article portrait information and disaggregated model trained in advance, generate the match information of target user and target item；In response to dividing
The match information instruction target user that class model generates matches with target item, to the terminal of target user push target item
Recommendation information.
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 foregoing invention design, 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 (14)
1. a kind of method for pushed information, comprising:
Obtain user's portrait information of target user；
Obtain the article portrait information of target item；
Based on user portrait information, article portrait information and disaggregated model trained in advance, the target is generated
The match information of user and the target item；
Indicate that the target user matches with the target item in response to the match information that the disaggregated model generates, Xiang Suoshu
The terminal of target user pushes the recommendation information of the target item.
2. according to the method described in claim 1, wherein, user's portrait information includes at least one of the following:
Article provider preference information, business preference information, geographical location information, income information.
3. according to the method described in claim 1, wherein, user's portrait information is generated via following steps:
Obtain at least one in following user information: search keyword information clicks behavioural information, search results pages content letter
Breath, geographical location information, terminal device information；
User's portrait information is generated according to the user information got.
It is described to be drawn a portrait information based on draw a portrait information, the article of the user 4. according to the method described in claim 1, wherein
And disaggregated model trained in advance, generate the match information of the target user Yu the target item, comprising:
Determine whether user browsed the page of target item in default website；
Based on identified browsing information, user portrait information, article portrait information and classification trained in advance
Model generates the match information of the target user Yu the target item.
5. according to the method described in claim 1, wherein, the article portrait information includes at least one of the following:
Article provider information, the business information of item associations, the urban information of item associations, air control information.
6. method according to any one of claims 1-5, wherein the article portrait information is raw via following steps
At:
Obtain at least one in following Item Information: the information of trade company involved by article benefits information, business；
Article portrait information is generated according to the Item Information got.
7. a kind of device for pushed information, comprising:
First acquisition unit is configured to obtain user's portrait information of target user；
Second acquisition unit is configured to obtain the article portrait information of target item；
Match information generation unit is configured to draw a portrait based on the user information, article portrait information and preparatory instruction
Experienced disaggregated model generates the match information of the target user Yu the target item；
Push unit is configured in response to the match information that the disaggregated model generates and indicates the target user and the mesh
Article matching is marked, the terminal of Xiang Suoshu target user pushes the recommendation information of the target item.
8. device according to claim 7, wherein user's portrait information includes at least one of the following:
Article provider preference information, business preference information, geographical location information, income information.
9. device according to claim 7, wherein described device further includes user's portrait information generating unit, the use
Family portrait information generating unit, comprising:
First obtains subelement, is configured to obtain at least one in following user information: search keyword information clicks row
For information, search results pages content information, geographical location information, terminal device information；
User's portrait information generates subelement, is configured to generate user's portrait information according to the user information got.
10. device according to claim 7, wherein the match information generation unit, comprising:
It determines subelement, is configured to determine the page whether user browsed target item in default website；
Match information generates subelement, is configured to draw a portrait based on identified browsing information, the user information, the article
Information of drawing a portrait and disaggregated model trained in advance, generate the match information of the target user Yu the target item.
11. device according to claim 7, wherein the article portrait information includes at least one of the following:
Article provider information, the business information of item associations, the urban information of item associations, air control information.
12. device according to any one of claims 7-11, wherein described device further includes that article portrait information generates
Unit, the article portrait information generating unit, comprising:
Second obtains subelement, is configured to obtain at least one in following Item Information: involved by article benefits information, business
And the information of trade company；
Article portrait information generates subelement, is configured to generate article portrait information according to the Item Information got.
13. a kind of electronic equipment, comprising:
One or more processors；
Storage device is stored thereon with one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processors
Realize such as method as claimed in any one of claims 1 to 6.
14. a kind of computer-readable medium, is stored thereon with computer program, such as right is realized when which is executed by processor
It is required that any method in 1-6.
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|---|---|---|---|
| CN201910099389.2A CN109783741A (en) | 2019-01-31 | 2019-01-31 | Method and apparatus for pushed information |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910099389.2A CN109783741A (en) | 2019-01-31 | 2019-01-31 | Method and apparatus for pushed information |
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| CN201910099389.2A Pending CN109783741A (en) | 2019-01-31 | 2019-01-31 | Method and apparatus for pushed information |
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