CN107332879A - Method, mobile terminal and storage medium that a kind of information is pushed - Google Patents
Method, mobile terminal and storage medium that a kind of information is pushed Download PDFInfo
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- CN107332879A CN107332879A CN201710416433.9A CN201710416433A CN107332879A CN 107332879 A CN107332879 A CN 107332879A CN 201710416433 A CN201710416433 A CN 201710416433A CN 107332879 A CN107332879 A CN 107332879A
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- information
- time point
- news
- user
- push
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- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Telephone Function (AREA)
Abstract
The application and field of terminal, disclose method, terminal and storage medium that a kind of information is pushed.Methods described includes:Obtain the occupational information of user;It is determined that the news category matched with the occupational information;First push time point was determined according to the reading habit model of the user;When reaching the push time point, belong to the push of the information of the news category.Pass through above-mentioned technical proposal, the information matched with user's occupational information can be pushed, this can be largely that user is concerned about or interested or be ready the information taking time to browse with the information that the occupational information matches, so as to reduce the time spent in user finds information of interest, and then lift the experience of user.
Description
Technical field
The present invention relates to field of terminal, more particularly to method, mobile terminal and the storage medium that a kind of information is pushed.
Background technology
At present, with the development of science and technology, the material life extreme enrichment of the mankind is also driven, intelligent terminal also becomes general
And.
People can be operated by intelligent terminal, entertained and be played.Specifically, a scene is presently, there are, when
When user browses news information, server can enter row information push according to the refreshing instruction of user, but server is not being known about
In the case of User Status, the information of push is not necessarily that user is interested.For uninterested information, user may not
Browse and directly skip, then refresh interface again to find the information that oneself is interested, whole process can take a lot of time, from
And bring inconvenience to user.
The content of the invention
The embodiment of the invention discloses method, mobile terminal and the storage medium that a kind of information is pushed, it can push and institute
The information that user's occupational information matches is stated, the information that should be matched with the occupational information can be largely that user is concerned about
Or it is interested or be ready the information taking time to browse, so as to reduce the time spent in user finds information of interest,
And then lift the experience of user.
First aspect of the embodiment of the present invention discloses a kind of method that information is pushed, and methods described includes:
Obtain the occupational information of user;
It is determined that the news category matched with the occupational information;
First push time point was determined according to the reading habit model of the user;
When reaching the first push time point, belong to the push of the information of the news category.
Second aspect of the present invention discloses a kind of mobile terminal, and the mobile terminal includes:
Acquiring unit, the occupational information for obtaining user;
First determining unit, for the news category for determining to match with the occupational information;
Second determining unit, for determining for the first push time point according to the reading habit model of the user;
Push unit, for when reaching the first push time point, belong to the information of the news category
Push.
Third aspect present invention discloses a kind of mobile terminal, and the mobile terminal includes:
Be stored with the memory of executable program code;
The processor coupled with the memory;
The processor calls the executable program code stored in the memory, performs first aspect present invention
Any one of method.
Fourth aspect present invention discloses a kind of computer-readable recording medium, and it is stored based on electronic data interchange
Calculation machine program, wherein, the computer program causes mobile terminal to perform the method as described in any one of first aspect present invention.
Fifth aspect present invention discloses a kind of mobile terminal, and the mobile terminal includes general processor, described general
Processor is used for:
Obtain the occupational information of user;
It is determined that the news category matched with the occupational information;
First push time point was determined according to the reading habit model of the user;
When reaching the push time point, belong to the push of the information of the news category.
Compared with prior art, the embodiment of the present invention has the advantages that:
In the embodiment of the present invention, the occupational information of user is obtained;It is determined that the news category matched with the occupational information;
First push time point was determined according to the reading habit model of the user;When reaching the push time point, belonged to
The push of the information of the news category.By above-mentioned technical proposal, it can push what is matched with user's occupational information
Information, should with the information that the occupational information matches can be largely user be concerned about or it is interested or be ready flower
Time goes the information browsed, so as to reduce the time spent in user finds information of interest, and then lifts the experience of user.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, below by using required in embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for ability
For the those of ordinary skill of domain, on the premise of not paying creative work, it can also be obtained according to these accompanying drawings other attached
Figure.
Fig. 1 is the schematic flow sheet for the method that a kind of information disclosed in the embodiment of the present invention is pushed;
Fig. 2 is the schematic flow sheet for the method that another information disclosed in the embodiment of the present invention is pushed;
Fig. 3 is the schematic flow sheet for the method that another information disclosed in the embodiment of the present invention is pushed;
Fig. 4 is a kind of structural representation of mobile terminal disclosed in the embodiment of the present invention;
Fig. 5 is the structural representation of another mobile terminal disclosed in the embodiment of the present invention;
Fig. 6 is the structural representation of another mobile terminal disclosed in the embodiment of the present invention;
Fig. 7 is a kind of physical arrangement schematic diagram of mobile terminal disclosed in the embodiment of the present invention;
Fig. 8 is the physical arrangement schematic diagram of another mobile terminal disclosed in the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Based on this
Embodiment in invention, the every other reality that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example is applied, the scope of protection of the invention is belonged to.
The embodiment of the invention discloses the method and terminal that a kind of information is pushed, it can push and user's occupational information
The information matched, should with the information that the occupational information matches can be largely user be concerned about or it is interested or
Person is ready the information for taking time to browse, so as to reduce the time spent in user finds information of interest, and then lifts user's
Experience.
It is described in detail individually below.
Referring to Fig. 1, Fig. 1 is the schematic flow sheet for the method that a kind of information disclosed in the embodiment of the present invention is pushed.The letter
The method that breath is pushed may comprise steps of.
S101, the occupational information for obtaining user;
In the embodiment of the present invention, terminal can include cell phone, tablet personal computer, personal digital assistant (Persona
LDigita lAssistant, PDA), each Terminal Type such as mobile internet device (Mobile InternetDevice, MID),
The embodiment of the present invention is not construed as limiting.
For example, the occupational information can lift user and be inputted, and can also be doing according to user job
Public domain point is determined, can also be the office's picture stored according to user terminal, and associated person information or instant messaging information are determined
's.
It is understood that occupational information includes specific occupational title, such as software engineer, doctor, nurse, religion
Teacher, civil servant etc..
The news category that S102, determination match with the occupational information;
For example, such as occupation is doctor, then with the news category that doctor matches be exactly medical profession news, such as
New medicine, new operation method, the great meeting of new medical equipment or medical profession, medical profession major policy etc..
Specifically, determining that the news category matched with the occupational information includes:It is determined that related to the occupational information
Object technology;Determine the keyword of the object technology;News category comprising the keyword is defined as with being reported
The news category of industry information match.
For example, such as occupation is software engineer, then the object technology related to software engineer can be C languages
Speech, C Plus Plus, Java programming languages etc., then the keyword of object technology can be C, C++, JAVA;So corresponding news
Classification is exactly the language of the news of C language type, the news of C Plus Plus type and JAVA types.
Optionally, it is determined that the news category matched with the occupational information also includes:It is determined that with the occupational information phase
The policy and recruitment information of pass;The news category that policy class news and recruitment class news are defined as matching with the occupational information
Not.
Optionally, it is determined that the news category matched with the occupational information also includes:It is determined that related to the occupation
Certificate;The news category that the classification of the certificate is set to match with the occupational information.
S103, the first push time point determined according to the reading habit model of the user;
, wherein it is desired to, it is noted that the reading habit model according to the user determine the first push time point it
Before, methods described also includes the reading habit model of training user.
Specifically, training the specific method of the reading habit model includes:The history news for obtaining the user reads number
According to;Wherein, the history news reads data and includes reading the classification of news, reading time point and read duration;Using default
Machine learning algorithm is to the reading classification of news, reading time point and reads duration and is trained to obtain the user
Reading habit model.
Wherein, common machine learning algorithm includes classification learning algorithm, bayesian algorithm, supervision type learning algorithm etc.
Deng.
For example, the user that can be obtained in three months reads the time point of news, reads duration and reading
The classification of news.Then, the reading data in three months are learnt to obtain reading habit mould using classification learning algorithm
Type.It is pointed out that can determine the scope at the time point that user reads daily by the reading habit model, read duration
Scope and news classification.
Specifically, party A-subscriber, which goes over the initial time that every morning reads in three months, is located at 7:10-7:20, read news
Classification be physical culture and the philosophy of life;And read every time when it is a length of 20-30 minutes.
In addition, it is necessary to which, it is noted that user daily can be by multiple reading times, such as the morning 7:00-7:20 be reading
Time, afternoon 2:10-2:20 be reading time, evening 10:00-10:30 be reading time.
In addition, it is necessary to which, it is noted that the reading time in such as user B reading habit model is 7:00-7:30;That
Can be 7 between first push time point:00-7:10.
It is understood that first pushes time point within reading time.
S104, when reach it is described first push time point when, carry out belong to the news category information push.
For example, the application program of news category is installed, then during push, it is possible to new at this in user A terminal
It is identified on the icon for the application program for hearing class.Such as push on 5 information, the icon of the application program of the news category just
Superscript 5 can be marked to indicate bar pushed information.
In addition, optional, terminal can also determine the classification that user likes according to the reading habit model of user, then push away
Send the news for the classification that user likes.Specifically, this method includes:Determine that user likes according to the reading habit model of the user
Good news category;Second push time point was determined according to the reading habit model of the user;When judging second push
Between put whether with described first push time point it is identical;Time point and the described first push time point not phase are pushed when described second
When same and arrival described second pushes time point, belong to the push of the information of the user preferences news category.
Further it will be understood that when the described second push time point is identical with the described first push time point, judging
Whether the bar number sum of type I information and the second category information is more than default number of branches;Wherein, the type I information refers to and institute
The information of the news category of industry of reporting information match;Second category information refers to the letter of the news category of the user preferences
Breath;When the bar number sum of the type I information and second category information is more than default number of branches, to second category information
Bar number deleted, with cause the type I information and it is described delete after the bar number sum of the second category information be less than or wait
In default number of branches;When reaching described first and pushing time point, pushing away for the type I information and second category information is carried out
Send.
It is understood that the information once pushed is shown in a page, thus just so that being turned over above and below user as far as possible
Page browses information.Such as one page at most 5 information of display, then the information of push is no more than 5, if first
When category information and identical the second category information push time point, then the quantity sum of two category informations will be calculated, if greater than 5
Bar, it is necessary to enter row information and delete to cause information sum to be less than 5.Wherein, terminal can delete type I information, can also
Delete the second category information.
Optionally, terminal is entered after row information push, and situation about can also be read according to user updates the user and reads habit
Used model.Specifically, terminal obtains the duration that the user reads the news information pushed;When the user reads the new of push
When the duration for hearing information is less than preset duration, the duration of the news information pushed is read to the reading habit using the user
Model is updated.
For example, terminal has pushed 5 information, it is contemplated that a length of 3 minutes during reading, if user-readable 1 minute, says
Bright user weakens to the interest of this type of information, subsequently needs to reduce the quantity of this type of information.Pushed away every time before such as this type of information
Send three, then can just push two every time later.
From the above it can be seen that by implementing technical scheme provided in an embodiment of the present invention, obtaining the occupational information of user;It is determined that with
The news category that the occupational information matches;First push time point was determined according to the reading habit model of the user;When
When reaching the push time point, belong to the push of the information of the news category.By above-mentioned technical proposal, it can push away
The information matched with user's occupational information is sent, the information that should be matched with the occupational information can be used
It is that family is concerned about or interested or be ready the information taking time to browse, so that reducing user finds what information of interest was spent
Time, and then lift the experience of user.
Referring to Fig. 2, Fig. 2 is the schematic flow sheet for the method that a kind of information disclosed in the embodiment of the present invention is pushed.Such as Fig. 2
Shown, the method that the information is pushed may comprise steps of.
The reading habit model that S201, root state user determines the news categories of user preferences;
In the embodiment of the present invention, terminal can include cell phone, tablet personal computer, personal digital assistant (Persona
LDigita lAssistant, PDA), each Terminal Type such as mobile internet device (Mobile InternetDevice, MID),
The embodiment of the present invention is not construed as limiting.
S202, the second push time point determined according to the reading habit model of the user;
It is understood that user can have a reading time section daily, can also be by section of multiple reading times.
S203, judge it is described second push time point whether with described first push time point it is identical;
Wherein, it can also be located at that the first push time point and the second push time point, which can be located at section of same reading time,
Different reading time sections.
It is understood that terminal is generated at random when the first push period and second push time point, above-mentioned two
Time point is respectively positioned within reading time section.
Such as user A has two reading time sections 7:00-7:20 and 14:10-14:30.So terminal generation above-mentioned two
All it is 7 during individual time point:00-7:20 and 14:10-14:Determined at random in the range of 30.Such as first pushes the time
7 during point:15;Second push time point when 7:20.
S204, when described second push time point with described first push time point differ and reach it is described second push
During time point, belong to the push of the information of the user preferences news category;
S205, when described second push time point with described first push time point it is identical when, judge type I information with
Whether the bar number sum of the second category information is more than default number of branches;
Wherein, the type I information refers to the information of the news category matched with the occupational information;Described second
Category information refers to the information of the news category of the user preferences;
S206, when the type I information and second category information bar number sum be more than default number of branches when, to described
The bar number of second category information is deleted, with cause the type I information and it is described delete after the second category information bar number it
With less than or equal to default number of branches;
S207, when reaching described first and pushing time point, carry out the type I information and second category information
Push.
In the method described by Fig. 2, row information is entered according to the hobby of the occupation of user and user and pushed, and according to two
Whether the push point of classification information determines to push and pushes together.By above-mentioned method for pushing, user is enabled to quickly to obtain
The information read must be ready.
Referring to Fig. 3, Fig. 3 is the schematic flow sheet for the method that a kind of information disclosed in the embodiment of the present invention is pushed.Such as Fig. 3
Shown, the method that the information is pushed may comprise steps of.
S301, the occupational information for obtaining user;
In the embodiment of the present invention, terminal can include cell phone, tablet personal computer, personal digital assistant (Persona
LDigita lAssistant, PDA), each Terminal Type such as mobile internet device (Mobile InternetDevice, MID),
The embodiment of the present invention is not construed as limiting.
The news category that S302, determination match with the occupational information;
S303, the history news reading data for obtaining the user;Wherein, the history news reads data and includes reading
Classification, reading time point and the reading duration of news;
S304, using default machine learning algorithm is to the reading classification of news, reading time point and reads duration
It is trained to obtain the reading habit model of the user;
S305, the first push time point determined according to the reading habit model of the user;
S306, when reach it is described first push time point when, carry out belong to the news category information push;
S307, the duration for obtaining the news information that user's reading is pushed;
S308, when the user read push news information duration be less than preset duration when, read using the user
The duration for reading the news information of push is updated to the reading habit model.
In the method described by Fig. 3, the training method of user's reading habit model is described and according to the anti-of reading
Feedforward information is updated to the reading habit model.The reading habit model obtained by above-mentioned implementation, can be more
The classification that user likes accurately is determined, is provided convenience so as to be read for user.
Referring to Fig. 4, Fig. 4 is a kind of structural representation of mobile terminal disclosed in the embodiment of the present invention.Described by Fig. 4
Terminal in, can include:
Acquiring unit 401, the occupational information for obtaining user;
First determining unit 402, for the news category for determining to match with the occupational information;
Second determining unit 403, for determining for the first push time point according to the reading habit model of the user;
Push unit 404, for when reaching the first push time point, belong to the information of the news category
Push.
It is pointed out that the structure shown in Fig. 4 can be used for performing the method described in S101-S104.
Please refer to fig. 5, Fig. 5 is the structural representation of another mobile terminal disclosed in the embodiment of the present invention.Fig. 5 institutes
The terminal shown can also include:
3rd determining unit 501, the news category for determining user preferences according to the reading habit model of the user;
It is additionally operable to determine for the second push time point according to the reading habit model of the user;
Judging unit 502, for judging whether the second push time point is identical with the described first push time point;
Push unit 503, is additionally operable to differ and arrive with the described first push time point when the described second push time point
When pushing time point up to described second, belong to the push of the information of the user preferences news category.
Judging unit 502, is additionally operable to, when the described second push time point is identical with the described first push time point, judge
Whether the bar number sum of type I information and the second category information is more than default number of branches;Wherein, the type I information refers to and institute
The information of the news category of industry of reporting information match;Second category information refers to the letter of the news category of the user preferences
Breath;
Unit 504 is deleted, for being more than default bar when the bar number sum of the type I information and second category information
Number when, the bar number of second category information is deleted, with cause the type I information and it is described delete after Equations of The Second Kind
The bar number sum of information is less than or equal to default number of branches;
Push unit 503, is additionally operable to, when reaching the first push time point, carry out the type I information and described
The push of second category information.
It is understood that the terminal described in Fig. 5 can be used for performing the method shown in S201-S207.
Also referring to Fig. 6, Fig. 6 is the structural representation of another mobile terminal disclosed in the embodiment of the present invention.Fig. 6 institutes
The terminal shown includes:
Acquiring unit 601, the occupational information for obtaining user;
First determining unit 602, for the news category for determining to match with the occupational information;
Acquiring unit 603, the history news for being additionally operable to obtain the user reads data;Wherein, the history news is read
Reading data includes reading the classification of news, reading time point and reads duration;
Training unit 604, for the classification using default machine learning algorithm to the reading news, reading time point
And reading duration is trained to obtain the reading habit model of the user;
Second determining unit 605, for determining for the first push time point according to the reading habit model of the user;
Push unit 606, for when reaching the first push time point, belong to the information of the news category
Push;
Acquiring unit 601, is additionally operable to obtain the duration that the user reads the news information pushed;
Updating block 607, when being less than preset duration for reading the duration of the news information pushed as the user, is utilized
The duration that the user reads the news information pushed is updated to the reading habit model.
It is understood that the terminal described in Fig. 6 is able to carry out the method described in S301-S308.
Referring to Fig. 7, Fig. 7 is the structural representation of another mobile terminal disclosed in the embodiment of the present invention, such as Fig. 7 institutes
Show, the terminal can include:At least one processor 710, such as CPU, memory 720, at least one communication bus 730 are defeated
Enter device 740, output device 750.Wherein, communication bus 730 is used to realize the communication connection between these components.Memory
720 can be high-speed RAM memory or non-labile memory (non-volatile memory), for example extremely
A few magnetic disk storage.Memory 720 optionally can also be that at least one is located remotely from the storage of aforementioned processor 710 dress
Put.Wherein, batch processing code is stored in the terminal that processor 710 can be with reference to described by Fig. 4 to Fig. 6, memory 720, and
Processor 710 calls the program code stored in memory 720, for performing following operation:
Obtain the occupational information of user;
It is determined that the news category matched with the occupational information;
First push time point was determined according to the reading habit model of the user;
When reaching the first push time point, belong to the push of the information of the news category.
Optionally, the operation also includes:
The news category of user preferences is determined according to the reading habit model of the user;
Second push time point was determined according to the reading habit model of the user;
Judge whether the second push time point is identical with the described first push time point;
When the described second push time point differed with the described first push time point and reached the second push time
During point, belong to the push of the information of the user preferences news category.
Optionally, the operation also includes:
When the described second push time point is identical with the described first push time point, type I information and Equations of The Second Kind are judged
Whether the bar number sum of information is more than default number of branches;Wherein, the type I information refers to what is matched with the occupational information
The information of news category;Second category information refers to the information of the news category of the user preferences;
When the bar number sum of the type I information and second category information is more than default number of branches, to the Equations of The Second Kind
The bar number of information is deleted, with cause the type I information and it is described delete after the bar number sum of the second category information be less than
Or equal to default number of branches;
When reaching the first push time point, the push of the type I information and second category information is carried out.
Optionally, before the reading habit model according to the user determined for the first push time point, the operation
Also include:
The history news for obtaining the user reads data;Wherein, the history news reads data and includes reading news
Classification, reading time point and read duration;
The classification of the reading news, reading time point and reading duration are instructed using default machine learning algorithm
Practice to obtain the reading habit model of the user.
Optionally, after the push for the information that progress belongs to the news category, the operation also includes:
Obtain the duration that the user reads the news information pushed;
When the duration that the user reads the news information pushed is less than preset duration, is read and pushed using the user
The duration of news information the reading habit model is updated.
In the embodiment of the present invention, the occupational information of user is obtained;It is determined that the news category matched with the occupational information;
First push time point was determined according to the reading habit model of the user;When reaching the push time point, belonged to
The push of the information of the news category.By above-mentioned technical proposal, it can push what is matched with user's occupational information
Information, should with the information that the occupational information matches can be largely user be concerned about or it is interested or be ready flower
Time goes the information browsed, so as to reduce the time spent in user finds information of interest, and then lifts the experience of user.
Referring to Fig. 8, Fig. 8 is the structural representation of another mobile terminal disclosed in the embodiment of the present invention, such as Fig. 8 institutes
Show, the mobile terminal can include:Base-Band Processing large scale integrated circuit 88 (Base-Band Processing LSI), general processor 820, language
Sound processing integrated circuit 830 (speech processes IC), touch controller 840, gyro sensor 850, communication bus 860, storage
Device 870.Wherein, communication bus 860 is used to realize the communication connection between these components.Memory 870 can be that high-speed RAM is deposited
Reservoir or non-labile memory (non-volatile memory), for example, at least one magnetic disk storage.Its
In, the terminal that general processor 820 can be with reference to described by Fig. 3 to Fig. 6 stores batch processing code in memory 870, and logical
The program code stored in memory 870 is called with processor 820, for performing following operation:
Obtain the occupational information of user;
It is determined that the news category matched with the occupational information;
First push time point was determined according to the reading habit model of the user;
When reaching the first push time point, belong to the push of the information of the news category.
Optionally, the operation also includes:
The news category of user preferences is determined according to the reading habit model of the user;
Second push time point was determined according to the reading habit model of the user;
Judge whether the second push time point is identical with the described first push time point;
When the described second push time point differed with the described first push time point and reached the second push time
During point, belong to the push of the information of the user preferences news category.
Optionally, the operation also includes:
When the described second push time point is identical with the described first push time point, type I information and Equations of The Second Kind are judged
Whether the bar number sum of information is more than default number of branches;Wherein, the type I information refers to what is matched with the occupational information
The information of news category;Second category information refers to the information of the news category of the user preferences;
When the bar number sum of the type I information and second category information is more than default number of branches, to the Equations of The Second Kind
The bar number of information is deleted, with cause the type I information and it is described delete after the bar number sum of the second category information be less than
Or equal to default number of branches;
When reaching the first push time point, the push of the type I information and second category information is carried out.
Wherein, optionally, the general processor includes application processor and artificial intelligence AI modules, the AI modules collection
Application processor described in Cheng Yu is set, and the AI modules are used for:
The history news for obtaining the user reads data;Wherein, the history news reads data and includes reading news
Classification, reading time point and read duration;During using default machine learning algorithm to the classification for reading news, reading
Between point and read duration be trained to obtain the reading habit model of the user.Optionally, the AI modules are additionally operable to obtain
The user is taken to read the duration of the news information pushed;Preset when the duration that the user reads the news information pushed is less than
During duration, the duration for reading the news information pushed using the user is updated to the reading habit model.
In addition, optional, the general processor includes application processor and artificial intelligence AI modules, and the AI modules are only
Stand on the processor to set, the history news that the AI modules are used to obtain the user reads data;Wherein, the history
News, which reads data, to be included reading the classification of news, reading time point and reads duration;Utilize default machine learning algorithm pair
The classification for reading news, reading time point and reading duration are trained to obtain the reading habit model of the user.
Optionally, the AI modules are additionally operable to obtain the duration that the user reads the news information pushed;
When the duration that the user reads the news information pushed is less than preset duration, is read and pushed using the user
The duration of news information the reading habit model is updated.
Further, it should be pointed out that the concrete form of AI modules can be hardware and/or software, AI modules include hard
During part form, processor and AI modules can be integrally disposed or separately positioned, not limit herein.
When AI modules are integrated integrally disposed with the application processor, if application processor is single core processor, AI
Module can be the intelligent micro-processor interface circuit in application processor, if application processor is polycaryon processor, AI modules can be with
It is the single intelligent microprocessor kernel in polycaryon processor or the intelligent micro-processor interface circuit in some micro-processor kernel.
When AI modules are integrated separately positioned with the application processor, AI modules can be application processor platform framework
In any one coprocessor (such as BBP) in addition to the application processor, or, can be using processing
A newly-installed intelligent microprocessor in device platform architecture in addition to the application processor, or, can be new set
The Intelligent Processing Platform independently of the application processor platform, and the Intelligent Processing Platform at least includes special intelligent
Processor, the Intelligent Processing Platform is communicated to connect with application processor platform, and optionally, Intelligent Processing Platform can also be with storage
The direct-connected communication connection such as device, peripheral hardware.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
To instruct the hardware of correlation to complete by program, the program can be stored in a computer-readable recording medium, storage
Medium include read-only storage (Read-Only Memory, ROM), random access memory (Random Access Memory,
RAM), programmable read only memory (Programmable Read-only Memory, PROM), erasable programmable is read-only deposits
Reservoir (Erasable Programmable Read Only Memory, EPROM), disposable programmable read-only storage (One-
Time Programmable Read-Only Memory, OTPROM), the electronics formula of erasing can make carbon copies read-only storage
(Electrically-Erasable Programmable Read-Only Memory, EEPROM), read-only optical disc
(CompactDisc Read-Only Memory, CD-ROM) or other disk storages, magnetic disk storage, tape storage
Device or any other the computer-readable medium that can be used in carrying or data storage.
A kind of solution screen locking method and user terminal based on image disclosed in the embodiment of the present invention have been carried out in detail above
Introduce, specific case used herein is set forth to the principle and embodiment of the present invention, the explanation of above example
It is only intended to the method and its core concept for helping to understand the present invention;Simultaneously for those of ordinary skill in the art, according to this
The thought of invention, be will change in specific embodiments and applications, in summary, and this specification content should not
It is interpreted as limitation of the present invention.
Claims (18)
1. a kind of method that information is pushed, it is characterised in that methods described includes:
Obtain the occupational information of user;
It is determined that the news category matched with the occupational information;
First push time point was determined according to the reading habit model of the user;
When reaching the first push time point, belong to the push of the information of the news category.
2. according to the method described in claim 1, it is characterised in that methods described also includes:
The news category of user preferences is determined according to the reading habit model of the user;
Second push time point was determined according to the reading habit model of the user;
Judge whether the second push time point is identical with the described first push time point;
When the described second push time point differed with the described first push time point and reached the second push time point,
Belong to the push of the information of the user preferences news category.
3. method according to claim 2, it is characterised in that methods described also includes:
When the described second push time point is identical with the described first push time point, type I information and the second category information are judged
Bar number sum whether be more than default number of branches;Wherein, the type I information refers to the news matched with the occupational information
The information of classification;Second category information refers to the information of the news category of the user preferences;
When the bar number sum of the type I information and second category information is more than default number of branches, to second category information
Bar number deleted, with cause the type I information and it is described delete after the bar number sum of the second category information be less than or wait
In default number of branches;
When reaching the first push time point, the push of the type I information and second category information is carried out.
4. method according to claim 3, it is characterised in that the reading habit model according to the user determines
Before one push time point, methods described also includes:
The history news for obtaining the user reads data;Wherein, the history news reads the class that data include reading news
Not, reading time point and reading duration;
Using default machine learning algorithm to the reading classification of news, reading time point and read duration be trained with
Obtain the reading habit model of the user.
5. the method according to Claims 1-4, it is characterised in that belong to the push of the information of the news category
Afterwards, methods described also includes:
Obtain the duration that the user reads the news information pushed;
When the duration that the user reads the news information pushed is less than preset duration, the new of push is read using the user
The duration for hearing information is updated to the reading habit model.
6. a kind of mobile terminal, it is characterised in that the mobile terminal includes:
Acquiring unit, the occupational information for obtaining user;
First determining unit, for the news category for determining to match with the occupational information;
Second determining unit, for determining for the first push time point according to the reading habit model of the user;
Push unit, for when reaching the first push time point, belong to the push of the information of the news category.
7. mobile terminal according to claim 6, it is characterised in that the mobile terminal also include the 3rd determining unit and
Judging unit;
3rd determining unit, the news category for determining user preferences according to the reading habit model of the user;
3rd determining unit, is additionally operable to determine for the second push time point according to the reading habit model of the user;
The judging unit, for judging whether the second push time point is identical with the described first push time point;
The push unit, is additionally operable to differ with the described first push time point when the described second push time point and reach institute
When stating for second push time point, belong to the push of the information of the user preferences news category.
8. mobile terminal according to claim 7, it is characterised in that the mobile terminal also includes deleting unit;
The judging unit, be additionally operable to when described second push time point it is identical with the described first push time point when, judge the
Whether the bar number sum of one category information and the second category information is more than default number of branches;Wherein, the type I information refer to it is described
The information for the news category that occupational information matches;Second category information refers to the letter of the news category of the user preferences
Breath;
It is described to delete unit, it is more than default number of branches for the bar number sum when the type I information and second category information
When, the bar number of second category information is deleted, with cause the type I information and it is described delete after Equations of The Second Kind believe
The bar number sum of breath is less than or equal to default number of branches;
The push unit, is additionally operable to when reaching described first and pushing time point, carries out the type I information and described the
The push of two category informations.
9. mobile terminal according to claim 8, it is characterised in that the mobile terminal also includes training unit;
The acquiring unit, the history news for being additionally operable to obtain the user reads data;Wherein, the history news reads number
According to including the classification for reading news, reading time point and reading duration;
The training unit, for using default machine learning algorithm to the reading classification of news, reading time point and
Duration is read to be trained to obtain the reading habit model of the user.
10. the mobile terminal according to claim 6 to 9, it is characterised in that the mobile terminal also includes updating block;
The acquiring unit, is additionally operable to obtain the duration that the user reads the news information pushed;
The updating block, when being less than preset duration for reading the duration of the news information pushed as the user, utilizes institute
The duration for stating the news information that user reads push is updated to the reading habit model.
11. a kind of mobile terminal, it is characterised in that including:
Be stored with the memory of executable program code;
The processor coupled with the memory;
The processor calls the executable program code stored in the memory, performs such as claim 1 to right
It is required that the method described in 5 any one.
12. a kind of computer-readable recording medium, it is characterised in that it stores the computer program for electronic data interchange,
Wherein, the computer program causes mobile terminal to perform the method as described in claim 1 to any one of claim 5.
13. a kind of mobile terminal, it is characterised in that the mobile terminal includes general processor, the general processor is used for:
Obtain the occupational information of user;
It is determined that the news category matched with the occupational information;
First push time point was determined according to the reading habit model of the user;
When reaching the push time point, belong to the push of the information of the news category.
14. mobile terminal according to claim 13, it is characterised in that the general processor is additionally operable to:
The news category of user preferences is determined according to the reading habit model of the user;
Second push time point was determined according to the reading habit model of the user;
Judge whether the second push time point is identical with the described first push time point;
When the described second push time point differed with the described first push time point and reached the second push time point,
Belong to the push of the information of the user preferences news category.
15. mobile terminal according to claim 14, it is characterised in that the general processor is additionally operable to:
When the described second push time point is identical with the described first push time point, type I information and the second category information are judged
Bar number sum whether be more than default number of branches;Wherein, the type I information refers to the news matched with the occupational information
The information of classification;Second category information refers to the information of the news category of the user preferences;
When the bar number sum of the type I information and second category information is more than default number of branches, to second category information
Bar number deleted, with cause the type I information and it is described delete after the bar number sum of the second category information be less than or wait
In default number of branches;
When reaching the first push time point, the push of the type I information and second category information is carried out.
16. mobile terminal according to claim 15, it is characterised in that the general processor is additionally operable to:
The history news for obtaining the user reads data;Wherein, the history news reads the class that data include reading news
Not, reading time point and reading duration;
Using default machine learning algorithm to the reading classification of news, reading time point and read duration be trained with
Obtain the reading habit model of the user.
17. mobile terminal according to claim 16, it is characterised in that the general processor include application processor and
Artificial intelligence AI modules, the AI modules are integrated in the application processor and set, and the AI modules are used for:
The history news for obtaining the user reads data;Wherein, the history news reads the class that data include reading news
Not, reading time point and reading duration;
Using default machine learning algorithm to the reading classification of news, reading time point and read duration be trained with
Obtain the reading habit model of the user.
18. mobile terminal according to claim 16, it is characterised in that the general processor include application processor and
Artificial intelligence AI modules, the AI modules are set independently of the application processor, and the AI modules are used for:
The history news for obtaining the user reads data;Wherein, the history news reads the class that data include reading news
Not, reading time point and reading duration;
Using default machine learning algorithm to the reading classification of news, reading time point and read duration be trained with
Obtain the reading habit model of the user.
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