CN104967690B - A kind of information-pushing method and device - Google Patents
A kind of information-pushing method and device Download PDFInfo
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- CN104967690B CN104967690B CN201510386414.7A CN201510386414A CN104967690B CN 104967690 B CN104967690 B CN 104967690B CN 201510386414 A CN201510386414 A CN 201510386414A CN 104967690 B CN104967690 B CN 104967690B
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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
Abstract
The embodiment of the invention discloses a kind of information-pushing method and devices, are related to Internet technical field, wherein the described method includes: receiving the information that client is sent pushes request;It is pushed and is requested according to the information, determine at least two information to be pushed;The jump mistake rate of information to be pushed determined by obtaining;According to the recommendation that the jump mistake rate of recommendation coefficient and the pushed information by identified each information to be pushed determines, the push sequence of identified pushed information is obtained;According to push sequence obtained, successively to pushed information determined by the client push.Using scheme provided in an embodiment of the present invention, can be improved successfully to the probability of client push whole information to be pushed.
Description
Technical field
The present invention relates to Internet technical field, in particular to a kind of information-pushing method and device.
Background technique
With the fast development of network and hardware technology, more and more users watch video, media platform by network
Usually during client is that user plays video, by server to information such as client push advertisements.
In the prior art, when server is to client push advertising information, if select multiple advertisements be to advertisement,
By selected each client is successively pushed to advertisement.
However, since server to client push advertisement can block user normally to watch video, if user is to being pushed
Preceding several advertisements for especially being pushed of advertising information when loseing interest in, user is skipped subsequent by operations such as selections " skipping "
Want the probability of advertisement larger, the probability of such server success to the selected all advertisements of client push is lower.
Summary of the invention
The embodiment of the invention discloses a kind of information-pushing method and device, with improve successfully to client push all to
The probability of pushed information.
In order to achieve the above objectives, the embodiment of the invention discloses a kind of information-pushing methods, which comprises
It receives the information that client is sent and pushes request;
It is pushed and is requested according to the information, determine at least two information to be pushed;
The jump mistake rate of information to be pushed determined by obtaining;
The recommendation determined according to the jump mistake rate of recommendation coefficient and the pushed information by identified each information to be pushed
Degree obtains the push sequence of identified pushed information;
According to push sequence obtained, successively to pushed information determined by the client push.
In a specific embodiment of the present invention, the jump mistake rate of information to be pushed determined by the acquisition, comprising:
From preset jump mistake rate list, the jump mistake rate of identified information to be pushed is obtained;
Wherein, the preset jump mistake rate list obtains in the following manner:
According to preset classifying rules, according to the corresponding push parameter of pushed information each in preset period of time, determining should
The generic of pushed information;
Count the jump mistake rate that each pushed information in the preset period of time is directed to its generic;
The jump mistake rate obtained according to above-mentioned statistics generates and jumps the list of mistake rate.
In a specific embodiment of the present invention, in the jump mistake rate obtained according to above-mentioned statistics, generates to jump and lose
After rate list, further includes:
Detect the element in jump mistake rate list generated with the presence or absence of value for sky;
If it exists, it is not the value of empty element according to value in the generic that each value is empty element, updates
The value is the value of empty element.
In a specific embodiment of the present invention, the preset classifying rules, including it is following rule at least
It is a kind of:
The classifying rules of video length is playing for the client;
For the classifying rules of current pushed information duration;
For the classifying rules of the push serial number of current pushed information;
For the classifying rules of the push serial number pushed information adjacent with the push serial number of current pushed information.
It include for current push letter in the preset classifying rules in a specific embodiment of the present invention
In the case where the classifying rules of the push serial number of breath,
The basis is determined by the recommendation coefficient of identified each information to be pushed and the jump mistake rate of the pushed information
Recommendation obtains the push sequence of identified pushed information, comprising:
According to the sequence that push serial number n is ascending, following steps are passed sequentially through from identified N number of information to be pushed
Middle selection pushes the corresponding information to be pushed of serial number n:
Not selected information to be pushed in N number of information to be pushed determined by obtaining;
It is above-mentioned each not selected wait push away in the case where selecting to push serial number from preset jump mistake rate list as n
The corresponding jump mistake rate of breath of delivering letters;
According to expression formula P (1-BR), the corresponding recommendation of above-mentioned each not selected information to be pushed is estimated,
In, the P indicates the recommendation coefficient of information to be pushed, and the BR indicates described and preset jumps record in the list of mistake rate, push
In the case that serial number is n, the jump mistake rate of information to be pushed;
According to above-mentioned estimation result, the highest information to be pushed of recommendation for selecting estimation to obtain is as push serial number n
Corresponding information to be pushed.
In a specific embodiment of the present invention, the information-pushing method further include:
To after the selected each information to be pushed of the client push, according to should be to the client push
The push serial number of pushed information and user are directed to the feedback of the information to be pushed, update the preset jump mistake rate list.
In a specific embodiment of the present invention, the recommendation coefficient of identified each information to be pushed, are as follows:
The recommendation coefficient obtained according to the price of identified each information to be pushed;Or
According to the recommendation system of each information to be pushed determined by the corresponding historical viewings record acquisition of the client
Number.
In order to achieve the above objectives, the embodiment of the invention discloses a kind of information push-delivery apparatus, described device includes:
Request receiving module is pushed, for receiving the information push request of client transmission;
Pushed information determining module requests for being pushed according to the information, determines at least two information to be pushed;
It jumps mistake rate and obtains module, for obtaining the jump mistake rate of identified information to be pushed;
Push sequence obtains module, for according to the recommendation coefficient and push letter by identified each information to be pushed
The recommendation of breath jumping mistake rate and determining obtains the push sequence of identified pushed information;
Info push module, for successively being pushed away to determined by the client push according to push sequence obtained
It delivers letters breath.
In a specific embodiment of the present invention, described obtain jumps mistake rate acquisition module, is specifically used for from preset jump
In mistake rate list, the jump mistake rate of identified information to be pushed is obtained;
The information push-delivery apparatus further include: jump the list of mistake rate and obtain module;
Wherein, the jump mistake rate list obtains module, comprising:
Classification determines submodule, is used for according to preset classifying rules, according to pushed information pair each in preset period of time
The push parameter answered determines the generic of the pushed information;
Mistake rate statistic submodule is jumped, is directed to its generic for counting each pushed information in the preset period of time
Jump mistake rate;
It jumps the list of mistake rate and generates submodule, the jump mistake rate for being obtained according to above-mentioned statistics generates and jumps the list of mistake rate.
In a specific embodiment of the present invention, the jump mistake rate list obtains module, further includes:
Element detection submodule, for detecting after the jump mistake rate list generates submodule generation jump mistake rate list
The element generated jumped in the list of mistake rate with the presence or absence of value for sky;
Element update submodule, for the testing result of the Element detection submodule be in the case where, according to every
A value is the value that value is not empty element in the generic of empty element, and updating the value is taking for empty element
Value.
In a specific embodiment of the present invention, the preset classifying rules, including it is following rule at least
It is a kind of:
The classifying rules of video length is playing for the client;
For the classifying rules of current pushed information duration;
For the classifying rules of the push serial number of current pushed information;
For the classifying rules of the push serial number pushed information adjacent with the push serial number of current pushed information.
In a specific embodiment of the present invention, the push sequence obtains module, is specifically used for described default
Classifying rules in include for current pushed information push serial number classifying rules in the case where, according to push serial number
N ascending sequence, successively selection pushes the corresponding information to be pushed of serial number n from identified N number of information to be pushed;
The push sequence obtains module, comprising:
Information to be pushed obtains submodule, not selected wait push in identified N number of information to be pushed for obtaining
Information;
It jumps mistake rate and selects submodule, in the case where selecting to push serial number from preset jump mistake rate list as n, on
State the corresponding jump mistake rate of each not selected information to be pushed;
Recommendation estimates submodule, for estimating above-mentioned each not selected wait push according to expression formula P (1-BR)
The corresponding recommendation of information, wherein the P indicates that the recommendation coefficient of information to be pushed, the BR indicate that the preset jump is lost
In the case that record in rate list, push serial number is n, the jump mistake rate of information to be pushed;
Information to be pushed selects submodule, for according to above-mentioned estimation result, the recommendation that selection estimation obtains to be highest
Information to be pushed is as the corresponding information to be pushed of push serial number n.
In a specific embodiment of the present invention, the information push-delivery apparatus further include:
Mistake rate list update module is jumped, for after the selected each information to be pushed of the client push,
According to the feedback for being directed to the information to be pushed to the push serial number of the client push information to be pushed and user, more
The new preset jump mistake rate list.
In a specific embodiment of the present invention, the recommendation coefficient of identified each information to be pushed, are as follows:
The recommendation coefficient obtained according to the price of identified each information to be pushed;Or
According to the recommendation system of each information to be pushed determined by the corresponding historical viewings record acquisition of the client
Number.
As seen from the above, in scheme provided in an embodiment of the present invention, server is according to the received information push request of institute, really
After making information to be pushed, obtain determined by information to be pushed jump mistake rate, then further according to by it is identified each to
Pushed information recommends coefficient and the recommendation of the pushed information jumping mistake rate and determining, the push of pushed information determined by acquisition
Sequentially, and according to push sequence obtained, successively to pushed information determined by client push.By being determined in acquisition
Information to be pushed push sequence when, it is contemplated that the jump mistake rate of each information to be pushed, and jump mistake rate and be able to reflect server
When to client push information, successfully push the probability of the information, therefore, can according to the jump mistake rate of each information to be pushed,
Preferentially push and successfully push the higher information to be pushed of probability, and then can be improved successfully to the whole letter to be pushed of client push
The probability of breath.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of flow diagram of information-pushing method provided in an embodiment of the present invention;
Fig. 2 is a kind of flow diagram of method for obtaining jump mistake rate list provided in an embodiment of the present invention;
Fig. 3 is the flow diagram of another information-pushing method provided in an embodiment of the present invention;
Fig. 4 is a kind of structural schematic diagram of information push-delivery apparatus provided in an embodiment of the present invention;
Fig. 5 is the structural schematic diagram of another information push-delivery apparatus provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1 is a kind of flow diagram of information-pushing method provided in an embodiment of the present invention, this method comprises:
S101: it receives the information that client is sent and pushes request.
Wherein, in above-mentioned information push request, may include:
Client is playing the type of video, for example, movement class film, the TV play of describing love affairs class, costume piece, modern play,
Hong Kong and Taiwan films, American-European film etc.;
Client is playing the duration of video, for example, 50 minutes, 150 minutes etc.;
Client is playing the playback progress of video, such as: 0 point 0 second, 30 points 15 seconds etc..
It should be noted that information included in above-mentioned information push request is not limited to that, in practical application
It can be determines according to actual conditions.
S102: it is pushed and is requested according to information, determine at least two information to be pushed.
Server receive client transmission above- mentioned information push request after, according to the information push request, determine to
Pushed information, information to be pushed can be advertising information, news information, weather forecast information etc..
Specifically, the type that the client for including in request is playing video can be pushed according to information, user is estimated
Then the information such as hobby, age determine information to be pushed according to the information that estimation obtains.
For example, if the type that client is playing video is Hong Kong and Taiwan films, describing love affairs class TV play, in this way, user may
It is young woman, then can determines information to be pushed are as follows: cosmetics, clothing advertising information etc..
Furthermore it is also possible to according to pushing, the client for including in request is playing the duration of video and client is being broadcast
The playback progress for putting video, determines information to be pushed.
It is understood that user does not like usually and is disturbed when watching video, if not understanding in video also in user
Hold, in the case where not attracted by client video being played on, to the pushed information of the longer duration of client push, Yi Yinqi
User's dislike, so, it is long when can push shorter to push away when the playback progress that client is playing video is less than preset threshold
It delivers letters breath, as the playback progress that client is playing video increases, in view of factors such as developments of action, user usually will not be by
In do not like viewing pushed information and close the video being currently viewed, cause pushed information to fail, so, such case
Under, it can suitably push the pushed information of longer duration.
For example, client video being played on when it is 60 minutes a length of in the case where,
If information push request in include client be playing video playback progress be 0 point 0 second, can only to
15 seconds advertising informations of client push;
If client be playing video playback progress be 25 points 0 second, can be to client push advertisement in 30 seconds
Information;
If client be playing video playback progress be 50 points 20 seconds, can be to client push advertisement in 60 seconds
Information.
S103: the jump mistake rate of information to be pushed determined by obtaining.
Under normal conditions, mistake rate is jumped, refers to that display user enters the page by corresponding entrance, but only has accessed a page
The access times that face is just left account for the ratio of the total access times of the page.
Defined with above-mentioned jump mistake rate it is similar, in the application, can by jump mistake rate understand are as follows: in preset period of time, service
Device accounts for the ratio to the client push information to be pushed total degree to the number of any information to be pushed failure of client push.
Wherein, server is to client push information to be pushed, and information to be pushed success is in client terminal playing
Situation belongs to server to the success of client push information;
Server does not succeed due to selecting " skipping " etc. user to client push information to be pushed
The case where client terminal playing, belongs to server and fails to client push information.
It, can be with specifically, the jump mistake rate of identified information to be pushed can be obtained from preset jump mistake rate list
According to the push times relevant to identified information to be pushed recorded in server, e.g., push should be wait push away in preset period of time
The number etc. that information to be pushed failure is pushed in the successful number of breath of delivering letters, preset period of time is calculated, certainly, identified
The jump mistake rate of information to be pushed can also obtain by other means, and the application is defined not to this.
In a kind of optional implementation of the invention, when obtaining jump mistake rate from preset jump mistake rate list, Ke Yitong
The method for crossing embodiment illustrated in fig. 2 offer, which obtains, jumps the list of mistake rate.
S104: it is determined according to the jump mistake rate of recommendation coefficient and the pushed information by identified each information to be pushed
Recommendation obtains the push sequence of identified pushed information.
Specifically, the recommendation coefficient of identified each information to be pushed can be according to identified letter each to be pushed
The recommendation coefficient that the price of breath obtains, from the angle for maximizing media platform income, the price of information to be pushed is higher, clothes
Business device more tends to the client push information, so that media platform can obtain higher income.
The recommendation coefficient of identified each information to be pushed can also be according to the corresponding historical viewings record of client
The recommendation coefficient of the identified each information to be pushed obtained.Specifically, can be remembered according to the corresponding historical viewings of client
The user informations such as hobby, age, the gender for determining user are recorded, then according between information to be pushed and user information
With degree, the recommendation coefficient of identified each information to be pushed is obtained.In this way, same information to be pushed is pushed to by server
When different client, determine that obtained recommendation coefficient may be different.
For example, user likes seeing describing love affairs class TV play, can determine that the use from the point of view of the corresponding historical viewings record of client
Family may be young woman, and identified information to be pushed is respectively as follows: automotive-type advertising information, shopping series advertisements information, health care
Category advertising information, and under normal conditions, young woman is interested in the shopping series advertisements in above-mentioned three series advertisements, institute
With, the recommendation coefficient of these three types of information to be pushed, can according to shopping series advertisements, health care products advertisement, automobile series advertisements it is suitable
Sequence is set as the numerical value being sequentially reduced.
S105: according to push sequence obtained, successively to pushed information determined by client push.
In practical application, when in order to guarantee to obtain the jump mistake rate of identified information to be pushed, it can obtain relatively accurate
Data, in a preferred embodiment of the present invention, after each information to be pushed selected to client push,
Can also according to the feedback for being directed to the information to be pushed to the push serial number of the client push information to be pushed and user,
Update preset jump mistake rate list.
As seen from the above, in scheme provided in this embodiment, server is determined according to the received information push request of institute
After information to be pushed, obtain determined by information to be pushed jump mistake rate, then further according to by identified each wait push
Information recommends coefficient and the recommendation of the pushed information jumping mistake rate and determining, the push of pushed information determined by acquisition is suitable
Sequence, and according to push sequence obtained, successively to pushed information determined by client push.As determined by the acquisition
When the push sequence of information to be pushed, it is contemplated that the jump mistake rate of each information to be pushed, and jump mistake rate be able to reflect server to
When client push information, the probability of the information is successfully pushed, it therefore, can be excellent according to the jump mistake rate of each information to be pushed
The successfully push higher information to be pushed of probability is first pushed, and then can be improved successfully to client push whole information to be pushed
Probability.
It should be noted that under normal conditions, media platform by server to client push information when, usually press
It charges according to success to the number of user's pushed information, is root in the recommendation coefficient of identified each information to be pushed therefore
In the case where the recommendation coefficient obtained according to the price of identified each information to be pushed, implement the side provided according to the present invention
Case, in addition to can be improved successfully to the probability of client push whole information to be pushed other than, it can also be ensured that media platform
Maximum revenue.
In one particular embodiment of the present invention, referring to fig. 2, a kind of stream for obtaining and jumping the method for mistake rate list is provided
Journey schematic diagram, this method comprises:
S201: according to preset classifying rules, according to the corresponding push parameter of pushed information each in preset period of time, really
The generic of the fixed pushed information.
Above-mentioned preset classifying rules may include at least one of following rule:
The classifying rules of video length is playing for client;
For the classifying rules of current pushed information duration;
For the classifying rules of the push serial number of current pushed information;
For the classifying rules of the push serial number pushed information adjacent with the push serial number of current pushed information.
For example, video length T can be playing according to clientVIt is divided into following a few classes:
TV≤ 5 minutes classifications, 5 minutes < TV≤ 10 minutes classifications, 10 minutes < TV≤ 30 minutes classifications, 30 points
Clock < TV≤ 60 minutes classifications, TV> 60 minutes classifications etc..
It can be according to current pushed information duration TPIt is divided into following a few classes:
TP≤ 15 seconds classifications, 15 seconds < TP≤ 30 seconds classifications, 30 seconds < TP≤ 45 seconds classifications, 45 seconds < TP≤60
The classification of second, TP> 60 seconds classifications etc..
When each may include: to the client push pushed information in the corresponding push parameter of pushed information, client
Hold the duration for being playing video, the duration of the pushed information, the push sequence of the pushed information, the pushed information in client
Play position etc..
S202: each pushed information is directed to the jump mistake rate of its generic in statistics preset period of time.
S203: the jump mistake rate obtained according to above-mentioned statistics generates and jumps the list of mistake rate.
It is empty element according to that may have value in the jump mistake rate list of above method generation in practical application, this
Sample, when obtaining jump mistake rate from preset jump mistake rate list, not can guarantee the jump mistake rate obtained every time is that effective jump is lost
Rate, in consideration of it, in the jump mistake rate obtained according to above-mentioned statistics, generating in a kind of relatively good implementation of the invention and jumping mistake rate
After list, the element in jump mistake rate list generated with the presence or absence of value for sky can also be detected, and if it exists, according to each
Value is the value that value is not empty element in the generic of empty element, updates the value that the value is empty element.
It should be noted that above-mentioned jump mistake rate list generated can be the storage in the form of a bivariate table, it can
It is stored in the form of multiple bivariate tables by be, in addition, the data in the jump mistake rate list are in addition to can be with table data
Form present outer, can also be presented in the form of multi-dimensional matrix.The application is not compared and is defined.
In a specific embodiment of the invention, referring to Fig. 3, the process signal of another information-pushing method is provided
Figure, compared with previous embodiment, in the present embodiment, in preset classifying rules include for current pushed information push it is suitable
In the case where the classifying rules of serial number,
The recommendation determined according to the jump mistake rate of recommendation coefficient and the pushed information by identified each information to be pushed
Degree obtains the push sequence of identified pushed information, comprising:
S104A: the initial value of setting push serial number n is 1.
S104B: judging whether n is greater than the quantity N of identified information to be pushed, if it has not, executing S104C, S105.
It should be noted that the initial value of n may be set to be other values in practical application, judged in this step
When, need to judge whether n is greater than (initial value of n+identified information to be pushed quantity -1).
S104C: not selected information to be pushed in N number of information to be pushed determined by obtaining.
S104D: selected from preset jump mistake rate list push serial number for n in the case where, it is above-mentioned each not to be selected
The corresponding jump mistake rate of information to be pushed.
S104E: according to expression formula P (1-BR), the corresponding recommendation of above-mentioned each not selected information to be pushed is estimated
Degree.
Wherein, P indicate information to be pushed recommendation coefficient, BR indicate it is preset jump the list of mistake rate in record, push it is suitable
In the case where serial number n, the jump mistake rate of information to be pushed.
S104F: according to above-mentioned estimation result, the highest information to be pushed of recommendation for selecting estimation to obtain is suitable as pushing
The corresponding information to be pushed of serial number n.
S104G: the value for updating n is n+1, and returns to S104B.
As seen from the above, in scheme provided in this embodiment, in identified push sequence, suitable number of each push is corresponding
Information to be pushed relative to the corresponding pushed information recommendation of each push serial number be thereafter it is highest, therefore, can be into one
Step improves successfully to the probability of client push whole information to be pushed.
Above-mentioned S104A to S104G is illustrated below by a specific example.
It is assumed that identified information to be pushed is respectively as follows: InfP1、InfP2、InfP3, then determined by information to be pushed
Quantity N is 3, and each information to be pushed recommends coefficient and its jump mistake rate, referring to such as the following table 1.
Table 1
According to S104A: the initial value of setting push serial number n is 1.
According to S104B: due to n=1 at this time, it is seen that n < 3 is not more than 3, executes S104C.
According to S104C: not selected information to be pushed includes: InfP1、InfP2、InfP3。
According to S104D:InfP1、InfP2、InfP3, in the case where pushing serial number is 1, jump mistake rate be respectively as follows: 0.6,
0.7、0.3。
According to S104E:InfP1Recommendation=5x (1-0.6)=2.0, InfP2Recommendation=8x (1-0.7)=2.4,
InfP3Recommendation=3x (1-0.3)=2.1.
According to S104F: according to above-mentioned estimation result, selecting InfP2As the push corresponding information to be pushed of serial number 1.
According to S104G: the value for updating n is 2, returns to S104B.
According to S104B: due to n=2 at this time, it is seen that n < 3 is not more than 3, executes S104C.
According to S104C: not selected information to be pushed includes: InfP1、InfP3。
According to S104D:InfP1、InfP3, in the case where pushing serial number is 2, jumps mistake rate and be respectively as follows: 0.5,0.4.
According to S104E:InfP1Recommendation=5x (1-0.5)=2.5, InfP3Recommendation=3x (1-0.4)=1.8.
According to S104F: according to above-mentioned estimation result, selecting InfP1As the push corresponding information to be pushed of serial number 2.
According to S104G: the value for updating n is 3, returns to S104B.
According to S104B: due to n=3 at this time, it is seen that n=3 is not more than 3, executes S104C.
According to S104C: not selected information to be pushed includes: InfP3。
According to S104D:InfP3, in the case where pushing serial number is 3, jumps mistake rate and be respectively as follows: 0.6.
According to S104E:InfP3Recommendation=3x (1-0.6)=1.2.
According to S104F: according to above-mentioned estimation result, selecting InfP3As the push corresponding information to be pushed of serial number 3.
According to S104G: the value for updating n is 4, returns to S104B.
According to S104B: due to n=4 at this time, it is seen that n > 4 executes S105.
So far, the push sequence of pushed information determined by can get are as follows: InfP2、InfP1、InfP3。
Corresponding with above-mentioned information-pushing method, the embodiment of the invention also provides a kind of information push-delivery apparatus.
Fig. 4 is a kind of structural schematic diagram of information push-delivery apparatus provided in an embodiment of the present invention, which includes:
Request receiving module 401 is pushed, for receiving the information push request of client transmission;
Pushed information determining module 402 requests for being pushed according to the information, determines at least two information to be pushed;
It jumps mistake rate and obtains module 403, for obtaining the jump mistake rate of identified information to be pushed;
Push sequence obtains module 404, for being pushed away according to the recommendation coefficient by identified each information to be pushed with this
The recommendation that the jump mistake rate of breath of delivering letters determines, obtains the push sequence of identified pushed information;
Info push module 405 is used for according to push sequence obtained, successively to determined by the client push
Pushed information.
Specifically, the jump mistake rate acquisition module 403 that obtains can be specifically used for from preset jump mistake rate list, it is true to obtain institute
The jump mistake rate of fixed information to be pushed;
In this case, above-mentioned information push-delivery apparatus can also include: and jump the list of mistake rate to obtain module;
Wherein, the jump mistake rate list obtains module, comprising:
Classification determines submodule, is used for according to preset classifying rules, according to pushed information pair each in preset period of time
The push parameter answered determines the generic of the pushed information;
Mistake rate statistic submodule is jumped, is directed to its generic for counting each pushed information in the preset period of time
Jump mistake rate;
It jumps the list of mistake rate and generates submodule, the jump mistake rate for being obtained according to above-mentioned statistics generates and jumps the list of mistake rate.
Optionally, the jump mistake rate list, which obtains module, to include:
Element detection submodule, for detecting after the jump mistake rate list generates submodule generation jump mistake rate list
The element generated jumped in the list of mistake rate with the presence or absence of value for sky;
Element update submodule, for the testing result of the Element detection submodule be in the case where, according to every
A value is the value that value is not empty element in the generic of empty element, and updating the value is taking for empty element
Value.
Optionally, the preset classifying rules may include at least one of following rule:
The classifying rules of video length is playing for the client;
For the classifying rules of current pushed information duration;
For the classifying rules of the push serial number of current pushed information;
For the classifying rules of the push serial number pushed information adjacent with the push serial number of current pushed information.
In an alternate embodiment of the present invention where, the information push-delivery apparatus further include:
Mistake rate list update module is jumped, for after the selected each information to be pushed of the client push,
According to the feedback for being directed to the information to be pushed to the push serial number of the client push information to be pushed and user, more
The new preset jump mistake rate list.
Specifically, the recommendation coefficient of each information to be pushed determined by described can be with are as follows:
The recommendation coefficient obtained according to the price of identified each information to be pushed;Or
According to the recommendation system of each information to be pushed determined by the corresponding historical viewings record acquisition of the client
Number.
As seen from the above, in scheme provided in this embodiment, server is determined according to the received information push request of institute
After information to be pushed, obtain determined by information to be pushed jump mistake rate, then further according to by identified each wait push
Information recommends coefficient and the recommendation of the pushed information jumping mistake rate and determining, the push of pushed information determined by acquisition is suitable
Sequence, and according to push sequence obtained, successively to pushed information determined by client push.As determined by the acquisition
When the push sequence of information to be pushed, it is contemplated that the jump mistake rate of each information to be pushed, and jump mistake rate be able to reflect server to
When client push information, the probability of the information is successfully pushed, it therefore, can be excellent according to the jump mistake rate of each information to be pushed
The successfully push higher information to be pushed of probability is first pushed, and then can be improved successfully to client push whole information to be pushed
Probability.
In one particular embodiment of the present invention, referring to Fig. 5, the structural representation of another information push-delivery apparatus is provided
Figure, compared with foregoing individual embodiments, in the present embodiment,
The push sequence obtains module 404, specifically for including being directed to work as to be pushed forward in the preset classifying rules
Deliver letters breath push serial number classifying rules in the case where, according to the ascending sequence of push serial number n, successively from really
The corresponding information to be pushed of selection push serial number n in fixed N number of information to be pushed;
The push sequence obtains module 404, comprising:
Information to be pushed obtains submodule 4041, in N number of information to be pushed determined by obtaining it is not selected to
Pushed information;
It jumps mistake rate and selects submodule 4042, push the case where serial number is n for selecting from preset jumps mistake rate list
Under, the corresponding jump mistake rate of above-mentioned each not selected information to be pushed;
Recommendation estimates submodule 4043, for according to expression formula P (1-BR), estimate it is above-mentioned it is each it is not selected to
The corresponding recommendation of pushed information, wherein the P indicates that the recommendation coefficient of information to be pushed, the BR indicate described preset
In the case where record in the list of mistake rate, push serial number is jumped as n, the jump mistake rate of information to be pushed;
Information to be pushed selects submodule 4044, for according to above-mentioned estimation result, the recommendation that selection estimation obtains to be most
High information to be pushed is as the corresponding information to be pushed of push serial number n.
As seen from the above, in scheme provided in this embodiment, in identified push sequence, suitable number of each push is corresponding
Information to be pushed relative to the corresponding pushed information recommendation of each push serial number be thereafter it is highest, therefore, can be into one
Step improves successfully to the probability of client push whole information to be pushed.
For device embodiment, since it is substantially similar to the method embodiment, related so being described relatively simple
Place illustrates referring to the part of embodiment of the method.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
Those of ordinary skill in the art will appreciate that all or part of the steps in realization above method embodiment is can
It is completed with instructing relevant hardware by program, the program can store in computer-readable storage medium,
The storage medium designated herein obtained, such as: ROM/RAM, magnetic disk, CD.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent replacement, improvement and so within the spirit and principles in the present invention, are all contained in protection scope of the present invention
It is interior.
Claims (12)
1. a kind of information-pushing method, which is characterized in that the described method includes:
It receives the information that client is sent and pushes request;
It is pushed and is requested according to the information, determine at least two information to be pushed;
The jump mistake rate of information to be pushed determined by obtaining;
According to the recommendation that the jump mistake rate of recommendation coefficient and the pushed information by identified each information to be pushed determines, obtain
The push sequence of pushed information determined by obtaining;
According to push sequence obtained, successively to pushed information determined by the client push;
The jump mistake rate of information to be pushed determined by the acquisition, comprising:
From preset jump mistake rate list, the jump mistake rate of identified information to be pushed is obtained;
Wherein, the preset jump mistake rate list obtains in the following manner:
Determine that this has been pushed away according to the corresponding push parameter of pushed information each in preset period of time according to preset classifying rules
It delivers letters the generic of breath, the push parameter includes: the push sequence of the pushed information;
Count the jump mistake rate that each pushed information in the preset period of time is directed to its generic;
The jump mistake rate obtained according to above-mentioned statistics generates and jumps the list of mistake rate.
2. the method according to claim 1, wherein being generated in the jump mistake rate obtained according to above-mentioned statistics
After jump mistake rate list, further includes:
Detect the element in jump mistake rate list generated with the presence or absence of value for sky;
If it exists, it is not the value of empty element according to value in the generic that each value is empty element, updates this and take
Value is the value of empty element.
3. method according to claim 1 or 2, which is characterized in that in the preset classifying rules, including following rule
At least one:
The classifying rules of video length is playing for the client;
For the classifying rules of current pushed information duration;
For the classifying rules of the push serial number of current pushed information;
For the classifying rules of the push serial number pushed information adjacent with the push serial number of current pushed information.
4. according to the method described in claim 3, it is characterized in that, including being directed to work as to be pushed forward in the preset classifying rules
Deliver letters breath push serial number classifying rules in the case where,
The recommendation that the basis is determined by the recommendation coefficient of identified each information to be pushed and the jump mistake rate of the pushed information
Degree obtains the push sequence of identified pushed information, comprising:
According to the sequence that push serial number n is ascending, passes sequentially through following steps and selected from identified N number of information to be pushed
Select the corresponding information to be pushed of push serial number n:
Not selected information to be pushed in N number of information to be pushed determined by obtaining;
In the case where selecting to push serial number from preset jump mistake rate list as n, above-mentioned each not selected letter to be pushed
Cease corresponding jump mistake rate;
According to expression formula P (1-BR), the corresponding recommendation of above-mentioned each not selected information to be pushed is estimated, wherein institute
State P indicate information to be pushed recommendation coefficient, the BR indicate it is described it is preset jump the list of mistake rate in record, push serial number
In the case where n, the jump mistake rate of information to be pushed;
According to above-mentioned estimation result, the highest information to be pushed of recommendation for selecting estimation to obtain is corresponding as push serial number n
Information to be pushed.
5. method according to claim 1 or 2, which is characterized in that the method also includes:
To after the selected each information to be pushed of the client push, according to should be wait push to the client push
The push serial number of information and user are directed to the feedback of the information to be pushed, update the preset jump mistake rate list.
6. the method according to claim 1, wherein the recommendation system of each information to be pushed determined by described
Number, are as follows:
The recommendation coefficient obtained according to the price of identified each information to be pushed;Or
According to the recommendation coefficient of each information to be pushed determined by the corresponding historical viewings record acquisition of the client.
7. a kind of information push-delivery apparatus, which is characterized in that described device includes:
Request receiving module is pushed, for receiving the information push request of client transmission;
Pushed information determining module requests for being pushed according to the information, determines at least two information to be pushed;
It jumps mistake rate and obtains module, for obtaining the jump mistake rate of identified information to be pushed;
Push sequence obtains module, for recommending coefficient and the pushed information according to by identified each information to be pushed
The recommendation that mistake rate determines is jumped, the push sequence of identified pushed information is obtained;
Info push module, for successively believing to push determined by the client push according to push sequence obtained
Breath;
The jump mistake rate obtains module, is specifically used for from preset jump mistake rate list, obtains identified information to be pushed
Jump mistake rate;
Described device further include: jump the list of mistake rate and obtain module;
Wherein, the jump mistake rate list obtains module, comprising:
Classification determines submodule, is used for according to preset classifying rules, corresponding according to pushed information each in preset period of time
Parameter is pushed, determines the generic of the pushed information, the push parameter includes: that the push of the pushed information is suitable
Sequence;
Mistake rate statistic submodule is jumped, is lost for counting the jump that each pushed information is directed to its generic in the preset period of time
Rate;
It jumps the list of mistake rate and generates submodule, the jump mistake rate for being obtained according to above-mentioned statistics generates and jumps the list of mistake rate.
8. device according to claim 7, which is characterized in that the jump mistake rate list obtains module, further includes:
Element detection submodule, for after the jump mistake rate list generates submodule generation jump mistake rate list, detection to be given birth to
At to jump in the list of mistake rate with the presence or absence of value be empty element;
Element updates submodule, for being taken according to each in the case where the testing result of the Element detection submodule, which is, is
Value is the value that value is not empty element in the generic of empty element, updates the value that the value is empty element.
9. device according to claim 7 or 8, which is characterized in that in the preset classifying rules, including following rule
At least one:
The classifying rules of video length is playing for the client;
For the classifying rules of current pushed information duration;
For the classifying rules of the push serial number of current pushed information;
For the classifying rules of the push serial number pushed information adjacent with the push serial number of current pushed information.
10. device according to claim 9, which is characterized in that
The push sequence obtains module, specifically for including for current pushed information in the preset classifying rules
In the case where the classifying rules for pushing serial number, according to the sequence that push serial number n is ascending, successively from identified N number of
The corresponding information to be pushed of selection push serial number n in information to be pushed;
The push sequence obtains module, comprising:
Information to be pushed obtains submodule, for obtaining not selected information to be pushed in identified N number of information to be pushed;
It jumps mistake rate and selects submodule, it is above-mentioned each in the case where selecting to push serial number from preset jump mistake rate list as n
The corresponding jump mistake rate of a not selected information to be pushed;
Recommendation estimates submodule, for estimating above-mentioned each not selected information to be pushed according to expression formula P (1-BR)
Corresponding recommendation, wherein the P indicates that the recommendation coefficient of information to be pushed, the BR indicate the preset jump mistake rate column
In the case that record in table, push serial number is n, the jump mistake rate of information to be pushed;
Information to be pushed selects submodule, for according to above-mentioned estimation result, the recommendation that selection estimation obtains to be highest wait push away
Breath of delivering letters is as the corresponding information to be pushed of push serial number n.
11. device according to claim 7 or 8, which is characterized in that described device further include:
Mistake rate list update module is jumped, for after the selected each information to be pushed of the client push, according to
It is directed to the feedback of the information to be pushed to the push serial number of the client push information to be pushed and user, updates institute
State preset jump mistake rate list.
12. device according to claim 7, which is characterized in that the recommendation system of each information to be pushed determined by described
Number, are as follows:
The recommendation coefficient obtained according to the price of identified each information to be pushed;Or
According to the recommendation coefficient of each information to be pushed determined by the corresponding historical viewings record acquisition of the client.
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CN106383908A (en) * | 2016-09-30 | 2017-02-08 | 北京奇虎科技有限公司 | Data object pushing method and device |
CN106973327A (en) * | 2017-04-28 | 2017-07-21 | 张青 | It is capable of the intelligent TV set and its control system and control method of intelligently pushing content |
CN108596662B (en) * | 2018-04-20 | 2022-02-01 | 上海东方报业有限公司 | Information pushing method and equipment |
CN109885679A (en) * | 2019-01-11 | 2019-06-14 | 平安科技(深圳)有限公司 | Obtain method, apparatus, computer equipment and the storage medium of preferred words art |
CN110795635B (en) * | 2019-10-31 | 2023-04-07 | 上海连尚网络科技有限公司 | Method and device for presenting books |
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