CN109218390A - User's screening technique and device - Google Patents
User's screening technique and device Download PDFInfo
- Publication number
- CN109218390A CN109218390A CN201810764056.2A CN201810764056A CN109218390A CN 109218390 A CN109218390 A CN 109218390A CN 201810764056 A CN201810764056 A CN 201810764056A CN 109218390 A CN109218390 A CN 109218390A
- Authority
- CN
- China
- Prior art keywords
- user
- target
- candidate
- information
- characteristic
- 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.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
Abstract
The present invention proposes a kind of user's screening technique and device, wherein user's screening technique include: it is for statistical analysis to the corresponding existing subscriber of target service, determine the corresponding user characteristics collection of target service；Basic data and historical behavior data to candidate user carry out dissection process, determine the characteristic of candidate user；According to user characteristics collection and the matching degree of the characteristic of candidate user, determine whether candidate user is target user.The feature of user's screening technique and device proposed by the present invention, user characteristics and user based on business has accurately screened the target user of business, improves user and screens precision.
Description
Technical field
The present invention relates to technical field of information processing more particularly to a kind of user's screening techniques and device.
Background technique
In the related technology when to user's transmission service, the mode of fuzzy push is generallyd use, that is, by a certain business
It pushes to owner, or is pushed to the crowd that simple screening goes out simultaneously, browsed and service provider for example, filtering out
Prepare the same or similar user of the business of push, launches business as target user, and to it.However, due to each use
Family is all an independent presence, has diversified feature, only passes through the target of impression information determined by simply screening
User is not accurate enough, and causes when carrying out service propelling to user, and extension and transform rate is not high.
Summary of the invention
The present invention provides a kind of user's screening technique and device, is able to solve target user's screening precision is not high and ask
Topic.
First aspect present invention embodiment proposes a kind of user's screening technique, comprising: corresponding to the target service
Existing subscriber is for statistical analysis, determines the corresponding user characteristics collection of the target service；To the basic data of candidate user and
Historical behavior data carry out dissection process, determine the characteristic of the candidate user；According to the user characteristics collection and candidate
The matching degree of the characteristic of user determines whether the candidate user is target user.
In one embodiment of the invention, before whether the determination candidate user is target user, further includes:
The characteristic of the candidate user and the user characteristics collection are compared, determine the user characteristics collection and candidate
The matching degree of the characteristic of user；Alternatively, determining the corresponding user's mould of the target service according to the user characteristics collection
Type；Determine the characteristic of the candidate user and the matching degree of the user model.
In one embodiment of the invention, described according to the user characteristics collection and of the characteristic of candidate user
With degree, determine whether the candidate user is target user, comprising: judge the characteristic of the user characteristics collection and candidate user
According to matching degree whether be more than preset threshold, wherein if it is determined that know the matching degree be more than the preset threshold, it is determined that
The candidate user is target user.
In one embodiment of the invention, after the determination candidate user is target user, the method
Further include: according to the size of the matching degree and the corresponding attribute of matched feature, determine the type of the target user.
In one embodiment of the invention, after the determination candidate user is target user, the method
Further include: pushed information corresponding with the target service is obtained, and sends the pushed information to the target user.
In one embodiment of the invention, described before the pushed information to target user transmission
Method further include: according to the historical behavior data of the target user, determine the target user information push mode and/or
Information pushes the time；
It is described to send the pushed information to the target user, comprising:
Mode is pushed according to the information and/or information pushes the time, sends the pushed information to the target user.
In one embodiment of the invention, described before the pushed information to target user transmission
Method further include:
According to the type of the target user, when determining that the information push mode of the pushed information and/or information push
Between；
It is described to send the pushed information to the target user, comprising:
Mode is pushed according to the information and/or information pushes the time, sends the pushed information to the target user.
User's screening technique of the embodiment of the present invention, according to the user characteristics collection of target service and the characteristic of candidate user
According to matching degree, determine whether candidate user is target user, the feature of the user characteristics based on business and user are quasi- as a result,
The target user for really having screened business improves user and screens precision.
In order to achieve the above object, second aspect of the present invention embodiment proposes a kind of user's screening plant, comprising: first determines
Module determines the corresponding user of the target service for for statistical analysis to the corresponding existing subscriber of the target service
Feature set；Second determining module determines institute for the basic data and historical behavior data progress dissection process to candidate user
State the characteristic of candidate user；Screening module, for according to the user characteristics collection and the characteristic of candidate user
With degree, determine whether the candidate user is target user.
User's screening plant of the embodiment of the present invention, according to the user characteristics collection of target service and the characteristic of candidate user
According to matching degree, determine whether candidate user is target user, the feature of the user characteristics based on business and user are quasi- as a result,
The target user for really having screened business improves user and screens precision.
In one embodiment of the invention, the 4th determining module, for by the characteristic of the candidate user and institute
It states user characteristics collection to be compared, determines the matching degree of the characteristic of the user characteristics collection and candidate user；
Alternatively,
According to the user characteristics collection, the corresponding user model of the target service is determined；Determine the candidate user
The matching degree of characteristic and the user model.
In one embodiment of the invention, the screening module, is specifically used for:
Whether the matching degree for judging the characteristic of the user characteristics collection and candidate user is more than preset threshold, wherein
If it is determined that knowing that the matching degree is more than the preset threshold, it is determined that the candidate user is target user.
In one embodiment of the invention, described device further include:
User type determining module is used for after the determination candidate user is target user, according to described
Size and the corresponding attribute of matched feature with degree, determine the type of the target user.
In one embodiment of the invention, described device further include:
Pushing module sends institute for obtaining pushed information corresponding with the target service, and to the target user
State pushed information.
In one embodiment of the invention, described device further include:
5th determining module determines the letter of the target user for the historical behavior data according to the target user
It ceases push mode and/or information pushes the time；
The pushing module, is specifically used for:
Mode is pushed according to the information and/or information pushes the time, sends the pushed information to the target user.
In one embodiment of the invention, described device further include:
6th determining module determines the information push side of the pushed information for the type according to the target user
Formula and/or information push the time；
The pushing module, is specifically used for:
Mode is pushed according to the information and/or information pushes the time, sends the pushed information to the target user
In order to achieve the above object, third aspect present invention embodiment proposes a kind of computer equipment, including memory, processing
Device and it is stored in the computer program that can be run on the memory and on the processor, the processor executes the journey
Sequence, to be used for:
To the target service, corresponding existing subscriber is for statistical analysis, determines that the corresponding user of the target service is special
Collection；Basic data and historical behavior data to candidate user carry out dissection process, determine the characteristic of the candidate user
According to；According to the user characteristics collection and the matching degree of the characteristic of candidate user, determine whether the candidate user is target
User.
In order to achieve the above object, fourth aspect present invention embodiment proposes a kind of non-transitory computer-readable storage medium
Matter is stored thereon with computer program, which is executed by processor, to be used for:
To the target service, corresponding existing subscriber is for statistical analysis, determines that the corresponding user of the target service is special
Collection；Basic data and historical behavior data to candidate user carry out dissection process, determine the characteristic of the candidate user
According to；According to the user characteristics collection and the matching degree of the characteristic of candidate user, determine whether the candidate user is target
User.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, in which:
Fig. 1 is a kind of flow diagram of user's screening technique provided by the embodiment of the present invention；
Fig. 2 is the flow diagram of another kind user's screening technique provided by the embodiment of the present invention；
Fig. 3 is the flow diagram of another kind user's screening technique provided by the embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram of user's screening plant provided by the embodiment of the present invention；
Fig. 5 is the structural schematic diagram of another kind user's screening plant provided by the embodiment of the present invention；
Fig. 6 is the structural schematic diagram of another user's screening plant provided by the embodiment of the present invention；
Fig. 7 is the structural schematic diagram of another kind user's screening plant provided by the embodiment of the present invention；
Fig. 8 is the structural schematic diagram of another user's screening plant provided by the embodiment of the present invention；
Fig. 9 is a kind of structural schematic diagram of user's screening plant provided by the embodiment of the present invention；
Figure 10 is the structural schematic diagram that the electronic equipment of user's screening technique is executed provided by the embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described below in detail, the example of embodiment is shown in the accompanying drawings, wherein identical from beginning to end
Or similar label indicates same or similar element or element with the same or similar functions.It is retouched below with reference to attached drawing
The embodiment stated is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.
Below with reference to the accompanying drawings the user's screening technique and device of the embodiment of the present invention are described.
Fig. 1 is a kind of flow diagram of user's screening technique provided by the embodiment of the present invention.
As shown in Figure 1, user's screening technique the following steps are included:
Step 101, for statistical analysis to the corresponding existing subscriber of target service, determine that the corresponding user of target service is special
Collection.
Wherein, it is to be understood that in different application scenarios, target service is different.
Wherein, target service can be the business such as video, game, novel, music, training course, and the embodiment is with target
Business be children English course for be described.
The embodiment of property as an example can unite to the user characteristic data of children English course existing subscriber
Meter analysis, to determine the corresponding user characteristics collection of children English course.
Wherein, user characteristics collection can include but is not limited to gender, age, region, the gender of child user, use of user
The age of family child, user learn the frequency of children English course, and user learns the time point of children English course, user's purchase
The features such as the case where children English course.
Step 102, dissection process is carried out to the basic data of candidate user and historical behavior data, determines candidate user
Characteristic.
Wherein, the basic data of user can include but is not limited to the information such as age, gender, the occupation of user.
Wherein, the historical behavior data of user may include but unlimited user log in IP address, purchase curriculum information, note
The information such as volume time, click or browsing course and residence time on each page, the period to study English, certainly
It can also include other information in historical behavior data, which is not construed as limiting this.
Wherein, it should be noted that due in user behavior data include a variety of data, for user behavior data into
When row analysis, corresponding data can be parsed using corresponding analysis mode according to the data cases in user behavior data
Processing, to obtain the characteristic of candidate user.
Used analysis mode is illustrated when below to the basic data and historical behavior data of analysis user；
As an example, for the IP address in user behavior data, IP address can be turned by IP address library
It is changed to city or area, to obtain the regional feature of candidate user.
As an example, it is lacked in the basic data missing for detecting candidate user, such as the age information of candidate user
When mistake, it can be modified by the basic data that collaborative filtering or matrix decomposition scheduling algorithm lack candidate user, also
It is to say, can be filled up by the basic data that collaborative filtering or matrix decomposition scheduling algorithm lack candidate user.
The mode of property as an example, the tool modified by age information of the collaborative filtering to candidate user
Body process are as follows: according to the historical behavior data of the historical behavior data of user and other users, determine the similar users of user；Root
The age information lacked is filled up according to the age information of similar users.For example, the average age of similar users can be calculated,
And it is filled up using age information of the average age to candidate user.
In practical applications, can there is a situation where the basic data inaccuracy of user, for example, the age information that user fills in
The truth of itself is not met, subsequent analysis is carried out in order to which accurate basic data can be based on, as a kind of possible realization
Mode can obtain and collect with reference to user according to the historical behavior data of candidate user；Each base with reference to user is concentrated to reference user
Plinth data are for statistical analysis, determine corresponding with reference to basic data with reference to user's collection；According to reference basic data, candidate is used
The basic data at family is modified.Hereby it is achieved that the basic data to candidate user is modified, established for subsequent accurate analysis
Basis is determined.
As an example, many features are extracted out from user behavior data using some machine learning models, for example,
Topic model LDA (LatentDirichlet Allocation) or word2vec etc can be from the article that user sees
Extract some recessive characters.
For example, user often browses the page for how teaching child to speak idiomatic English, and can be analyzed according to topic model
The recessive character of user is that have child in user family, and child is in the spoken language that studies English out.
Wherein, it should be noted that target service is different, is different according to the recessive character that topic model is extracted.
As an example, in user behavior data use target service using the information such as time point, period into
Row statistical analysis uses the frequency of use of target service, using features such as time points to obtain user.
Wherein, it should be noted that above-mentioned is only to show the basic data and history of processing user in an illustrative manner
The several ways of behavioral data, in practical applications, can according to actual needs using other modes to the basic data of user and
Historical behavior data carry out dissection process, which is not construed as limiting this.
Wherein, it should be noted that the characteristic of user may include but unlimited region, age, test result, target
The frequency of use of business using time point, payment purchase situation, continuous report situation, uses time span, level of consumption etc. online,
Certainly, the characteristic of user can also include other features, which is not construed as limiting this.
Step 103, according to user characteristics collection and the matching degree of the characteristic of candidate user, determine candidate user whether be
Target user.
Wherein, it should be noted that under different application scenarios, can be used different modes determine user characteristics collection and
The matching degree of the characteristic of candidate user illustrates as follows:
The first example
The characteristic of candidate user and user characteristics collection are compared, determine user characteristics collection and candidate user
Characteristic matching degree.
Second of example
The corresponding user model of target service is determined according to user characteristics collection, and determines the characteristic and use of candidate user
The matching degree of family model.
The mode of property as an example can be carried out the characteristic of candidate user and user model by matching algorithm
Matching, and the characteristic of user and the matching degree of user model are determined according to matching result.
Wherein, it is to be understood that the characteristic of candidate user and the matching degree of user model are user characteristics collection
And the matching degree of the characteristic of candidate user.
The embodiment of property as an example, in the matching degree for the characteristic for determining user characteristics collection and candidate user
Afterwards, whether the matching degree that can determine whether the characteristic of user characteristics collection and candidate user is more than preset threshold.If it is determined that knowing
Matching degree is more than preset threshold, it is determined that candidate user is target user.
Wherein, preset threshold is the critical value of pre-set matching degree.It is appreciated that here can be according to actual needs
Preset threshold is set.
For example, it is assumed that preset threshold 80%, if the characteristic of candidate user and user characteristics collection carried out
Analysis is compared, determines that the matching degree of the characteristic of user characteristics collection and candidate user is 85%, by the user characteristics collection and time
Select the matching degree of the characteristic at family compared with preset threshold, it is known that, the characteristic of user characteristics collection and candidate user
Matching degree is more than preset threshold, at this time, it may be determined that the candidate user is target user.
User's screening technique of the embodiment of the present invention, according to the user characteristics collection of target service and the characteristic of candidate user
According to matching degree, determine whether candidate user is target user, the feature of the user characteristics based on business and user are quasi- as a result,
The target user for really having screened business improves user and screens precision.
On the basis of based on the above embodiment, after determining that candidate user is target user, as shown in Fig. 2, this method
Can also include:
Step 104, pushed information corresponding with target service is obtained, and sends pushed information to target user.
Wherein, PUSH message is related with target service, and PUSH message corresponding to target service difference is different.For example, mesh
Mark business is merchant advertisement, and merchant advertisement PUSH message can be recommended information, action message, the favor information etc. of businessman.Again
For example, target service is XX film, the corresponding PUSH message of target service can for the recommended information of XX film, show time,
Booking favor information etc..In another example target service is children English course, the recommendation information of children English course can be children
The recommended information of Curriculum Standards for English, action message, favor information.
It, in one embodiment of the invention, can be according to the history of target user in order to reduce interference of the information to user
Behavioral data, determine target user information push mode and/or information push the time, and according to information push mode and/or
Information pushes the time, sends pushed information to target user.It is pushed away hereby it is achieved that being liked according to the push of user and carrying out information
It send, reduces PUSH message to interference caused by user security risk, improve the Experience Degree of user.
It wherein, include that target user checks at the temporal information and target user of PUSH message in historical behavior data
Manage the mode of PUSH message.
Wherein, push mode can include but is not limited to phone push, short message pushing, mail push, public message push away
It send.
It can be pre- according to target user in order to reduce interference of the information to user as another illustrative embodiment
Push mode and/or information the push time being first arranged, pushed information is sent to target user.
Wherein, the pre-set push mode of target user and/or information push time are target users in push mode
And/or it is pre-set in the set interface of information push time.
Fig. 3 is the flow diagram of another kind user's screening technique provided by the embodiment of the present invention.
As shown in figure 3, user's screening technique the following steps are included:
Step 301, for statistical analysis to the corresponding existing subscriber of target service, determine that the corresponding user of target service is special
Collection.
Step 302, dissection process is carried out to the basic data of candidate user and historical behavior data, determines candidate user
Characteristic.
Step 303, according to user characteristics collection and the matching degree of the characteristic of candidate user, determine candidate user whether be
Target user, if so, thening follow the steps 304.
Wherein, it should be noted that step 301-303 is identical as the step 101-103 of above-described embodiment, no longer superfluous herein
It states.
Step 304, according to the size of matching degree and the corresponding attribute of matched feature, the type of target user is determined.
Wherein, the corresponding attribute of feature is related with the type of user is determined.
Wherein, it should be noted that the corresponding attribute of feature can be for example gender, age, race etc., and embodiment is to spy
Corresponding attribute is levied to be not construed as limiting.
Wherein, under different application scenarios, the type of user is different, and for example, the type of user can be divided into commonly
User, high-value user, potential user, platinum user, diamond user etc..
Wherein, it should be noted that for children English course, high-value user is super for target service frequency of use
Cross the user for the features such as predeterminated frequency threshold value, the level of consumption are high, age bracket is suitable.
Step 305, pushed information corresponding with target service is obtained.
The embodiment of property as an example can be according to target user's in order to accurately to target user's PUSH message
Type obtains PUSH message corresponding with target service.That is, for the target user of target service, in target
When the type difference of user, the PUSH message pushed to target user is different.
For example, the user type of user A is ordinary user, and the user type of user B is any active ues, can be by short
Letter mode sends PUSH message to user A, for user B, can send PUSH message to user B by liaison mode.It is real as a result,
Show and PUSH message push is carried out according to the type of user.
Step 306, according to the type of target user, when determining that the information push mode of pushed information and/or information push
Between.
Step 307, mode is pushed according to information and/or information pushes the time, send pushed information to target user.
Since in practical applications, the type of user is different, when the information push mode and/or information liked push
Between it is different, for example, office worker user, which does not like, receives sale phone in the work hours, in order to avoid using same information push side
Formula and/or information push time perplex information caused by user security risk, in this example after filtering out target user, according to matching
The size of degree and the corresponding attribute of matched feature, determine the type of target user, then, obtain push away corresponding with target service
It delivers letters breath, and according to the type of target user, determines information push mode and/or the information push time of pushed information, finally,
Mode is pushed according to information and/or information pushes the time, sends pushed information to target user.It uses and is used with target as a result,
The corresponding information push mode of family type and/or information push time to target user's pushed information, reduce PUSH message pair
Information interference caused by user security risk.
The embodiment of the present invention also proposes a kind of user's screening plant.
Fig. 4 is a kind of structural schematic diagram of user's screening plant provided by the embodiment of the present invention.
As shown in figure 4, user's screening plant includes the first determining module 110, the second determining module 120 and screening module
130, in which:
First determining module 110 determines target service for for statistical analysis to the corresponding existing subscriber of target service
Corresponding user characteristics collection.
Second determining module 120, for the basic data and historical behavior data progress dissection process to candidate user, really
Determine the characteristic of candidate user.
Screening module 130 determines candidate use for the matching degree according to user characteristics collection and the characteristic of candidate user
Whether family is target user.
In one embodiment of the invention, on the basis of Installation practice shown in Fig. 4, as shown in figure 5, the device
Can also include:
4th determining module 140 is determined for the characteristic of candidate user and user characteristics collection to be compared
The matching degree of the characteristic of user characteristics collection and candidate user；Alternatively, determining that target service is corresponding according to user characteristics collection
User model；Determine the characteristic of candidate user and the matching degree of user model.
In one embodiment of the invention, screening module 130 are specifically used for: judging user characteristics collection and candidate user
The matching degree of characteristic whether be more than preset threshold, wherein if it is determined that knowing that matching degree is more than preset threshold, it is determined that
Candidate user is target user.
In one embodiment of the invention, on the basis of Installation practice shown in Fig. 4, as shown in fig. 6, the device
Can also include:
User type determining module 150, for determine candidate user be target user after, according to the size of matching degree
And the corresponding attribute of matched feature, determine the type of target user.
Wherein, it should be noted that the knot of the user type determining module 150 in above-mentioned Installation practice shown in fig. 6
Structure also may be embodied in Installation practice shown in fig. 5, which is not construed as limiting this.
In one embodiment of the invention, the message with target user, dress shown in Fig. 6 are known in order to facilitate user
On the basis of setting embodiment, as shown in fig. 7, the device can also include:
Pushing module 160 sends push letter for obtaining pushed information corresponding with target service, and to target user
Breath.
In one embodiment of the invention, PUSH message is sent in order to like according to the push of user, and reduces letter
Interference to user is ceased, on the basis of Installation practice shown in Fig. 7, as shown in figure 8, the device can also include:
5th determining module 170 determines the information push of target user for the historical behavior data according to target user
Mode and/or information push the time.
Pushing module 160, is specifically used for: pushing mode according to information and/or information pushes the time, send to target user
Pushed information.
In one embodiment of the invention, on the basis of Installation practice shown in Fig. 7, as shown in figure 9, the device
Can also include:
6th determining module 180, for the type according to target user, determine pushed information information push mode and/
Or information pushes the time.
Pushing module 160, is specifically used for: pushing mode according to information and/or information pushes the time, send to target user
Pushed information.
Wherein, it should be noted that the aforementioned explanation to user's screening technique embodiment is also applied for the embodiment
User's screening plant, details are not described herein again.
User's screening plant of the embodiment of the present invention, according to the user characteristics collection of target service and the characteristic of candidate user
According to matching degree, determine whether candidate user is target user, the feature of the user characteristics based on business and user are quasi- as a result,
The target user for really having screened business improves user and screens precision.
In order to realize above-described embodiment, the embodiment of the present invention also proposes a kind of computer equipment, including memory, processor
And the computer program that can be run on a memory and on a processor is stored, processor executes program, to be used for:
To target service, corresponding existing subscriber is for statistical analysis, determines the corresponding user characteristics collection of target service；It is right
The basic data and historical behavior data of candidate user carry out dissection process, determine the characteristic of candidate user；According to user
The matching degree of the characteristic of feature set and candidate user determines whether candidate user is target user.
In order to realize above-described embodiment, the embodiment of the present invention also proposes a kind of non-transitorycomputer readable storage medium,
It is stored thereon with computer program, which is executed by processor, to be used for:
To target service, corresponding existing subscriber is for statistical analysis, determines the corresponding user characteristics collection of target service；It is right
The basic data and historical behavior data of candidate user carry out dissection process, determine the characteristic of candidate user；According to user
The matching degree of the characteristic of feature set and candidate user determines whether candidate user is target user.
Figure 10 is the hardware structural diagram of the electronic equipment provided in an embodiment of the present invention for executing user's screening technique, such as
Shown in Figure 10, which includes:
One or more processors 1010 and memory 1020, in Figure 10 by taking a processor 1010 as an example.
The electronic equipment can also include: input unit 1030 and output device 1040.
Processor 1010, memory 1020, input unit 1030 and output device 1040 can by bus or other
Mode connects, in Figure 10 for being connected by bus.
Memory 1020 be used as a kind of non-transient computer readable storage medium, can be used for storing non-transient software program,
Non-transient computer executable program and module, as the corresponding program instruction of user's screening technique in the embodiment of the present application/
Module (for example, attached first determining module 110 shown in Fig. 4, the second determining module 120 and screening module 130).Processor 1010
By running the non-transient software program, instruction and the module that are stored in memory 1020, thereby executing the various of server
Functional application and data processing, i.e. user's screening technique in realization above method embodiment.
Memory 1020 may include storing program area and storage data area, wherein storing program area can store operation system
Application program required for system, at least one function；Storage data area can be stored to be created according to using for user's screening plant
Data etc..In addition, memory 1020 may include high-speed random access memory, it can also include non-transient memory, example
Such as at least one disk memory, flush memory device or other non-transient solid-state memories.In some embodiments, it stores
Optional device 1020 includes the memory remotely located relative to processor 1010, these remote memories can pass through network connection
To user's screening plant.The example of above-mentioned network includes but is not limited to internet, intranet, local area network, mobile radio communication
And combinations thereof.
Input unit 1030 can receive the number or character information of input, and generates and set with the user of user's screening plant
It sets and the related key signals of function control inputs.Output device 1040 may include that display screen etc. shows equipment.
One or more module is stored in memory 1020, when being executed by one or more processor 1010,
Execute user's screening technique in above-mentioned any means embodiment.
Method provided by the embodiment of the present application can be performed in the said goods, has the corresponding functional module of execution method and has
Beneficial effect.The not technical detail of detailed description in the present embodiment, reference can be made to method provided by the embodiment of the present application.
The electronic equipment of the embodiment of the present invention exists in a variety of forms, including but not limited to:
(1) mobile communication equipment: the characteristics of this kind of equipment is that have mobile communication function, and to provide speech, data
Communication is main target.This Terminal Type includes: smart phone (such as iPhone), multimedia handset, functional mobile phone and low
Hold mobile phone etc..
(2) super mobile personal computer equipment: this kind of equipment belongs to the scope of personal computer, there is calculating and processing function
Can, generally also have mobile Internet access characteristic.This Terminal Type includes: PDA, MID and UMPC equipment etc., such as iPad.
(3) portable entertainment device: this kind of equipment can show and play multimedia content.Such equipment include: audio,
Video player (such as iPod), handheld device, e-book and intelligent toy and portable vehicle equipment.
(4) server: providing the equipment of the service of calculating, and the composition of server includes that processor, hard disk, memory, system are total
Line etc., server is similar with general computer architecture, but due to needing to provide highly reliable service, in processing energy
Power, stability, reliability, safety, scalability, manageability etc. are more demanding.
(5) other electronic devices with data interaction function.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as magnetic disk, CD, read-only memory (ROM)
Or random access memory (RAM) etc., including some instructions use is so that a computer equipment (can be individual calculus
Machine, server or network equipment etc.) execute method described in certain parts of each embodiment or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of user's screening technique, which comprises the following steps:
To target service, corresponding existing subscriber is for statistical analysis, determines the corresponding user characteristics collection of the target service；
Basic data and historical behavior data to candidate user carry out dissection process, determine the characteristic of the candidate user
According to；
According to the user characteristics collection and the matching degree of the characteristic of candidate user, determine whether the candidate user is target
User.
2. the method as described in claim 1, which is characterized in that the determination candidate user whether be target user it
Before, further includes:
The characteristic of the candidate user and the user characteristics collection are compared, determine the user characteristics collection and
The matching degree of the characteristic of candidate user；
Alternatively,
According to the user characteristics collection, the corresponding user model of the target service is determined；
Determine the characteristic of the candidate user and the matching degree of the user model.
3. the method as described in claim 1, which is characterized in that described according to the user characteristics collection and the feature of candidate user
The matching degree of data determines whether the candidate user is target user, comprising:
Whether the matching degree for judging the characteristic of the user characteristics collection and candidate user is more than preset threshold, wherein if
Judgement knows that the matching degree is more than the preset threshold, it is determined that the candidate user is target user.
4. method as claimed in claim 3, which is characterized in that after the determination candidate user is target user,
The method also includes:
According to the size of the matching degree and the corresponding attribute of matched feature, the type of the target user is determined.
5. method as claimed in claim 4, which is characterized in that after the determination candidate user is target user,
The method also includes:
Pushed information corresponding with the target service is obtained, and sends the pushed information to the target user.
6. method as claimed in claim 5, which is characterized in that it is described to the target user send the pushed information it
Before, the method also includes:
According to the historical behavior data of the target user, determine that the information push mode of the target user and/or information push away
Send the time；
It is described to send the pushed information to the target user, comprising:
Mode is pushed according to the information and/or information pushes the time, sends the pushed information to the target user.
7. method as claimed in claim 5, which is characterized in that it is described to the target user send the pushed information it
Before, the method also includes:
According to the type of the target user, information push mode and/or the information push time of the pushed information are determined；
It is described to send the pushed information to the target user, comprising:
Mode is pushed according to the information and/or information pushes the time, sends the pushed information to the target user.
8. a kind of user's screening plant characterized by comprising
First determining module determines the target service pair for for statistical analysis to the corresponding existing subscriber of target service
The user characteristics collection answered；
Second determining module, for candidate user basic data and historical behavior data carry out dissection process, determine described in
The characteristic of candidate user；
Screening module determines the candidate for the matching degree according to the user characteristics collection and the characteristic of candidate user
Whether user is target user.
9. a kind of electronic equipment characterized by comprising
At least one processor；And the memory being connect at least one described processor communication；
Wherein, the memory is stored with the instruction that can be executed by least one described processor, and described instruction is arranged to use
In the execution described in any item user's screening techniques of the claims 1-7.
10. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction is for making the computer perform claim require the described in any item user's sieves of 1-7
Choosing method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810764056.2A CN109218390B (en) | 2018-07-12 | 2018-07-12 | User screening method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810764056.2A CN109218390B (en) | 2018-07-12 | 2018-07-12 | User screening method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109218390A true CN109218390A (en) | 2019-01-15 |
| CN109218390B CN109218390B (en) | 2021-09-10 |
Family
ID=64990400
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810764056.2A Active CN109218390B (en) | 2018-07-12 | 2018-07-12 | User screening method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109218390B (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110322281A (en) * | 2019-06-06 | 2019-10-11 | 阿里巴巴集团控股有限公司 | The method for digging and device of similar users |
| CN110717095A (en) * | 2019-09-03 | 2020-01-21 | 口碑(上海)信息技术有限公司 | Service item pushing method and device |
| CN110852830A (en) * | 2019-09-30 | 2020-02-28 | 口碑(上海)信息技术有限公司 | Target user information acquisition method and service subscription system |
| CN111460295A (en) * | 2020-03-31 | 2020-07-28 | 浙江口碑网络技术有限公司 | User behavior event matching method and device and electronic equipment |
| CN111563798A (en) * | 2020-04-30 | 2020-08-21 | 浙江口碑网络技术有限公司 | Consumption object recommendation method and device and electronic equipment |
| CN112232891A (en) * | 2020-12-10 | 2021-01-15 | 杭州次元岛科技有限公司 | Customer matching method and device based on big data analysis |
| WO2021174699A1 (en) * | 2020-03-04 | 2021-09-10 | 平安科技（深圳）有限公司 | User screening method, apparatus and device, and storage medium |
| CN115994680A (en) * | 2023-03-24 | 2023-04-21 | 建研防火科技有限公司 | Application system of high-efficiency lithium battery in forest fire prevention |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104967552A (en) * | 2014-11-12 | 2015-10-07 | 腾讯科技（深圳）有限公司 | Message push method and apparatus |
| CN105574208A (en) * | 2016-01-29 | 2016-05-11 | 北京橙鑫数据科技有限公司 | Calling card recommendation method and device |
| CN106095960A (en) * | 2016-06-16 | 2016-11-09 | 广州杰赛科技股份有限公司 | A kind of network service recommends method and device |
| CN106682013A (en) * | 2015-11-09 | 2017-05-17 | 阿里巴巴集团控股有限公司 | Method and device used for data pushing |
| CN107220852A (en) * | 2017-05-26 | 2017-09-29 | 北京小度信息科技有限公司 | Method, device and server for determining target recommended user |
| CN107766580A (en) * | 2017-11-20 | 2018-03-06 | 北京奇虎科技有限公司 | The method for pushing and device of message |
| CN108053257A (en) * | 2017-12-27 | 2018-05-18 | 互动派科技股份有限公司 | A kind of big data user runs the method for building up and application system of Pyramid |
-
2018
- 2018-07-12 CN CN201810764056.2A patent/CN109218390B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104967552A (en) * | 2014-11-12 | 2015-10-07 | 腾讯科技（深圳）有限公司 | Message push method and apparatus |
| CN106682013A (en) * | 2015-11-09 | 2017-05-17 | 阿里巴巴集团控股有限公司 | Method and device used for data pushing |
| CN105574208A (en) * | 2016-01-29 | 2016-05-11 | 北京橙鑫数据科技有限公司 | Calling card recommendation method and device |
| CN106095960A (en) * | 2016-06-16 | 2016-11-09 | 广州杰赛科技股份有限公司 | A kind of network service recommends method and device |
| CN107220852A (en) * | 2017-05-26 | 2017-09-29 | 北京小度信息科技有限公司 | Method, device and server for determining target recommended user |
| CN107766580A (en) * | 2017-11-20 | 2018-03-06 | 北京奇虎科技有限公司 | The method for pushing and device of message |
| CN108053257A (en) * | 2017-12-27 | 2018-05-18 | 互动派科技股份有限公司 | A kind of big data user runs the method for building up and application system of Pyramid |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110322281A (en) * | 2019-06-06 | 2019-10-11 | 阿里巴巴集团控股有限公司 | The method for digging and device of similar users |
| CN110322281B (en) * | 2019-06-06 | 2023-10-27 | 创新先进技术有限公司 | Similar user mining method and device |
| CN110717095A (en) * | 2019-09-03 | 2020-01-21 | 口碑(上海)信息技术有限公司 | Service item pushing method and device |
| CN110717095B (en) * | 2019-09-03 | 2020-11-17 | 口碑(上海)信息技术有限公司 | Service item pushing method and device |
| CN110852830A (en) * | 2019-09-30 | 2020-02-28 | 口碑(上海)信息技术有限公司 | Target user information acquisition method and service subscription system |
| WO2021174699A1 (en) * | 2020-03-04 | 2021-09-10 | 平安科技（深圳）有限公司 | User screening method, apparatus and device, and storage medium |
| CN111460295A (en) * | 2020-03-31 | 2020-07-28 | 浙江口碑网络技术有限公司 | User behavior event matching method and device and electronic equipment |
| CN111563798A (en) * | 2020-04-30 | 2020-08-21 | 浙江口碑网络技术有限公司 | Consumption object recommendation method and device and electronic equipment |
| CN112232891A (en) * | 2020-12-10 | 2021-01-15 | 杭州次元岛科技有限公司 | Customer matching method and device based on big data analysis |
| CN115994680A (en) * | 2023-03-24 | 2023-04-21 | 建研防火科技有限公司 | Application system of high-efficiency lithium battery in forest fire prevention |
| CN115994680B (en) * | 2023-03-24 | 2023-08-04 | 建研防火科技有限公司 | Application system of high-efficiency lithium battery in forest fire prevention |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109218390B (en) | 2021-09-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109218390A (en) | User's screening technique and device | |
| CN108108821B (en) | Model training method and device | |
| CN111353037B (en) | Topic generation method and device and computer readable storage medium | |
| CN106294787A (en) | Information pushing method and device and electronic equipment | |
| CN106126524B (en) | Information pushing method and device | |
| CN104753985A (en) | Session list display method and device | |
| CN108228784A (en) | Video recommendation method and device, electronic equipment, storage medium, program | |
| CN104038473A (en) | Method of audio ad insertion, device, equipment and system | |
| CN105095415A (en) | Method and apparatus for confirming network emotion | |
| CN112287238B (en) | User characteristic determination method and device, storage medium and electronic equipment | |
| CN109033285A (en) | Information-pushing method and device | |
| CN104951807A (en) | Stock market emotion determining method and device | |
| CN110727782A (en) | Question and answer corpus generation method and system | |
| CN104951434A (en) | Brand emotion determining method and device | |
| CN112269943B (en) | Information recommendation system and method | |
| CN111159344A (en) | Robot response method, device, equipment and storage medium | |
| CN114220423A (en) | Voice wake-up, method of customizing wake-up model, electronic device, and storage medium | |
| CN112860213B (en) | Audio processing method and device, storage medium and electronic equipment | |
| US11057332B2 (en) | Augmented expression sticker control and management | |
| CN109190116A (en) | Semantic analytic method, system, electronic equipment and storage medium | |
| CN110837549B (en) | Information processing method, device and storage medium | |
| CN106250407A (en) | A kind of social communication method and apparatus | |
| CN109885668A (en) | A kind of expansible field interactive system status tracking method and apparatus | |
| CN113938697B (en) | Virtual speaking method and device in live broadcasting room and computer equipment | |
| CN105045590A (en) | Method and device for altering interface resources |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |