CN109635192A - Magnanimity information temperature seniority among brothers and sisters update method and platform towards micro services - Google Patents
Magnanimity information temperature seniority among brothers and sisters update method and platform towards micro services Download PDFInfo
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Abstract
The present invention provides magnanimity information temperature seniority among brothers and sisters update methods and platform towards micro services, the magnanimity information temperature seniority among brothers and sisters update method is built on the Distributed Computing Platform of micro services framework, the following steps are included: the information message of real-time reception push, initializes the information temperature of the information message；All information message received are ranked up according to information temperature, obtain temperature seniority among brothers and sisters；The User action log of real-time reception information message；The information temperature that the information message is calculated according to the User action log is updated temperature seniority among brothers and sisters.This method can application server carry out horizontal extension, suitable under information quantity exponentially growth pattern information temperature seniority among brothers and sisters timely update.
Description
Technical field
The invention belongs to field of computer technology, and in particular to the magnanimity information temperature towards micro services ranks update method
And platform.
Background technique
Information temperature seniority among brothers and sisters, i.e., to existing information set, by combining the interest-degree of user and the novel degree of information
Etc. the real time leaderboard being calculated.Information temperature seniority among brothers and sisters is often employed in personalized recommendation system, news homepage rolls money
Interrogate the scenes such as list.
Existing information temperature seniority among brothers and sisters algorithm is mainly the calculating that temperature seniority among brothers and sisters is completed on common single machine at present
But in recent years, with the explosion of internet, the growth rate of global information amount is significantly faster than at us
The ability of information is managed, the exponential growth of information quantity is so that traditional calculating mode is unable to satisfy active user in real-time
Demand.Meanwhile the growth of information quantity in finite time but also can not be calculated result in single machine.Such as every 5
Most popular information message list is calculated in minute, and traditional calculating mode calculates full dose information message seniority among brothers and sisters consumption each time
When be more than 5 minutes.
In addition, traditional background system can not effectively carry out water due to number of users and the uncertainty of information quantity
Flat extension, to cope with a large amount of user's request in the short time.
Summary of the invention
For the defects in the prior art, the present invention provides a kind of magnanimity information temperature seniority among brothers and sisters update side towards micro services
Method and platform, can application server carry out horizontal extension, suitable for the information under information quantity exponentially growth pattern
Temperature seniority among brothers and sisters timely updates.
In a first aspect, a kind of magnanimity information temperature towards micro services ranks update method, the magnanimity information temperature row
Row update method is built on the Distributed Computing Platform of micro services framework, comprising the following steps:
The information message of real-time reception push, initializes the information temperature of the information message；
All information message received are ranked up according to information temperature, obtain temperature seniority among brothers and sisters；
The User action log of real-time reception information message；
The information temperature that the information message is calculated according to the User action log is updated temperature seniority among brothers and sisters.
Preferably, the User action log by using the Distributed Computing Platform window function counting user row
For obtained by data.
Preferably, the information temperature that the information message is calculated according to the User action log arranges the temperature
Row, which is updated, to be specifically included:
For each information message, multiple criterion behavior data and its corresponding weighted value are set；
The behavioral data for including in the User action log of the information message is obtained, is read corresponding with the behavioral data
The weighted value of criterion behavior data；
Feedback contribution value is calculated according to the behavioral data of User action log in the information message and corresponding weighted value；
The feedback contribution value is calculated using preset time decay factor, obtains the information heat of the information message
Degree；
Temperature seniority among brothers and sisters is updated according to the information temperature.
Preferably, the criterion behavior data include number of clicks, collection number and share number.
The calculation formula of the feedback contribution value is as follows:
S (Users)=Weight (click) * click+Weight (favor) * favor+Weight (share) *
share；
Wherein, S (Users) is feedback contribution value, and click is number of clicks, and Weight (click) is corresponding for number of clicks
Weighted value, favor is collection number, and Weight (favor) is the corresponding weighted value of collection number, and share is to share number,
Weight (share) is to share the corresponding weighted value of number.
Preferably, the calculation formula of the information temperature is as follows:
Score=(S (Type)+S (Users))/T (Time)；
Wherein, Score is information temperature, and S (Type) is preset information criteria weights；
T (Time) is the time decay factor:
T (Time)=e^ (k* (T1-T0))；
Wherein, T0 is the issuing time of information message, and T1 is current time, and k is constant parameter.
Second aspect, a kind of Distributed Computing Platform based on micro services framework, the Distributed Computing Platform execute with
Lower step:
The information message of real-time reception push, initializes the information temperature of the information message；
All information message received are ranked up according to information temperature, obtain temperature seniority among brothers and sisters；
The User action log of real-time reception information message；
The information temperature that the information message is calculated according to the User action log is updated temperature seniority among brothers and sisters.
Preferably, the User action log by using the Distributed Computing Platform window function counting user row
For data.
Preferably, the information temperature that the information message is calculated according to the User action log arranges the temperature
Row, which is updated, to be specifically included:
For each information message, multiple criterion behavior data and its corresponding weighted value are set；
The behavioral data for including in the User action log of the information message is obtained, is read corresponding with the behavioral data
The weighted value of criterion behavior data；
Feedback contribution value is calculated according to the behavioral data of User action log in the information message and corresponding weighted value；
The feedback contribution value is calculated using preset time decay factor, obtains the information heat of the information message
Degree；
Temperature seniority among brothers and sisters is updated according to the information temperature.
Preferably, the criterion behavior data include number of clicks, collection number and share number.
The calculation formula of the feedback contribution value is as follows:
S (Users)=Weight (click) * click+Weight (favor) * favor+Weight (share) *
share；
Wherein, S (Users) is feedback contribution value, and click is number of clicks, and Weight (click) is corresponding for number of clicks
Weighted value, favor is collection number, and Weight (favor) is the corresponding weighted value of collection number, and share is to share number,
Weight (share) is to share the corresponding weighted value of number.
Preferably, the calculation formula of the information temperature is as follows:
Score=(S (Type)+S (Users))/T (Time)；
Wherein, Score is information temperature, and S (Type) is preset information criteria weights；
T (Time) is the time decay factor:
T (Time)=e^ (k* (T1-T0))；
Wherein, T0 is the issuing time of information message, and T1 is current time, and k is constant parameter.
As shown from the above technical solution, it is provided by the invention towards micro services magnanimity information temperature seniority among brothers and sisters update method and
Platform, can application server carry out horizontal extension, suitable for the information temperature under information quantity exponentially growth pattern
Seniority among brothers and sisters timely updates.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described.In all the appended drawings, similar element
Or part is generally identified by similar appended drawing reference.In attached drawing, each element or part might not be drawn according to actual ratio.
Fig. 1 is the flow chart that the magnanimity information temperature that the embodiment of the present application one provides ranks update method.
Fig. 2 is the flow chart that the temperature that the embodiment of the present application two provides ranks update method.
Specific embodiment
It is described in detail below in conjunction with embodiment of the attached drawing to technical solution of the present invention.Following embodiment is only used for
Clearly illustrate technical solution of the present invention, therefore be only used as example, and cannot be used as a limitation and limit protection model of the invention
It encloses.It should be noted that unless otherwise indicated, technical term or scientific term used in this application are should be belonging to the present invention
The ordinary meaning that field technical staff is understood.
Embodiment one:
A kind of magnanimity information temperature seniority among brothers and sisters update method towards micro services, referring to Fig. 1, the magnanimity information temperature seniority among brothers and sisters
Update method is built on the Distributed Computing Platform of micro services framework, referring to Fig. 1, comprising the following steps:
S1: the information message of real-time reception push initializes the information temperature of the information message；
Specifically, the Distributed Computing Platform of the micro services framework is the real-time computing platform of big data, such as Apache
The real-time of Flink, Apache Blink, these Distributed Computing Platform stream compressions can achieve Millisecond, can satisfy
Information quantity exponentially rank and calculate by the temperature of the information message under growth pattern.Step S1 is receiving new information message
When, the information temperature of information message is initialized, defines an initial value to the information temperature of information message.
S2: all information message received are ranked up according to information temperature, obtain temperature seniority among brothers and sisters；
Specifically, the information temperature of information message successively reduces from front to back in temperature seniority among brothers and sisters.
S3: the User action log of real-time reception information message；
Specifically, User action log refers to behavioral data all when user accesses network every time, including accesses, is clear
A variety of behavioral datas such as look at, search for, clicking, collecting, sharing.
S4: calculating the information temperature of the information message according to the User action log, carries out more to temperature seniority among brothers and sisters
Newly.
Specifically, this method carries out (or timing, such as every 5 minutes) in real time according to the behavioral data in User action log
The information temperature of each information message is calculated, and carries out temperature seniority among brothers and sisters and updates.The User action log is by log collection mould
Block provides, and common log acquisition module can be realized by technologies such as Kafka/MQ, it is only necessary to which providing corresponding interface can obtain
Take the behavioral data at family.
This method is ranked using the temperature that Distributed Computing Platform carries out information message to be updated, and completes existing skill using cluster
The impossible calculation amount of common single machine in art.In addition, micro services framework can be extended different service logics, according to
The growth of portfolio carries out point spread, without allowing UI node also and then to extend, in this way when user volume or information message count
When amount increases, horizontal extension can be carried out with application server, micro services framework can be efficiently used and carry out performance boost, guaranteed
The robustness of system.Overcoming in the prior art, stand-alone application can not be split according to the flow and pressure of application modules,
Temperature sort algorithm is limited to algorithm principle, distribution can not be calculated on more machines.
Embodiment two:
Embodiment two on the basis of example 1, increases the following contents:
The User action log by using the Distributed Computing Platform window function counting user behavioral data
Gained.
Specifically, the Distributed Computing Platform of the present embodiment selects the real-time distributed computing platform of Spark, thus can be with
Using the window function of Spark, the user behavior data of Fixed Time Interval is counted, obtains User action log.
Referring to fig. 2, it is preferable that the information temperature that the information message is calculated according to the User action log, to institute
Temperature seniority among brothers and sisters is stated to be updated and specifically include:
S11: multiple criterion behavior data and its corresponding weighted value are set for each information message；
Specifically, the criterion behavior data include number of clicks, collection number and share number.User click, collection,
When sharing or reading certain information message, by the behavior feedback of user to background system.Since the different behavior of user is to information
The meaning of the popularity of message is different, so the weighted that different behaviors is contributed.For example, share the information message, it may
So that the information message is easier to be seen by other users, so only user oneself collection wants high to weight ratio.For example click
Weight is 1, and the weight of collection is 5, and the weight of sharing is 10.But the behavior being not all of all is positive feedback.Such as user is in point
It after hitting the longer information message of a content, reads duration and only there was only 5 seconds, in this way it can be assumed that being user to the information
The title of the message interest, and lose interest in information message content, the behavior is negative-feedback.
S12: obtaining the behavioral data for including in the User action log of the information message, reads and the behavioral data pair
The weighted value for the criterion behavior data answered；
S13: feedback tribute is calculated according to the behavioral data of User action log in the information message and corresponding weighted value
Offer value；
The calculation formula of the feedback contribution value is as follows:
S (Users)=Weight (click) * click+Weight (favor) * favor+Weight (share) *
share；
Wherein, S (Users) is feedback contribution value, and click is number of clicks, and Weight (click) is corresponding for number of clicks
Weighted value, favor is collection number, and Weight (favor) is the corresponding weighted value of collection number, and share is to share number,
Weight (share) is to share the corresponding weighted value of number.
Specifically, weighted value can rule of thumb be set by administrative staff, can also be by other methods to data
It is set after being analyzed according to the distributed number of different behaviors.
S14: the feedback contribution value is calculated using preset time decay factor, obtains the money of the information message
Interrogate temperature；
Preferably, the calculation formula of the information temperature is as follows:
Score=(S (Type)+S (Users))/T (Time)；
Wherein, Score is information temperature, and S (Type) is preset information criteria weights；
T (Time) is the time decay factor:
T (Time)=e^ (k* (T1-T0))；
Wherein, T0 is the issuing time of information message, and T1 is current time, and k is constant parameter.
Specifically, S (Type) is the weight of information message itself, unrelated with user behavior.S (Type) reflects information
Significance level can be specified by the publisher of information in publisher.Such as S of S (Type) value of heavy pound message than entertaining information
(Type) value is big.
Since the information temperature that the decaying of information temperature at any time is not linear, issued information message must be with
Time passage and decay, and trend should be that decaying is getting faster, up to leveling off to zero temperature, so using above-mentioned formula
The information temperature for calculating information message as time goes by, so that obtained information temperature has fully considered time factor.
S15: temperature seniority among brothers and sisters is updated according to the information temperature.
The temperature seniority among brothers and sisters that this method obtains has fully considered time factor and the behavior feedback of user.
Method provided by the embodiment of the present invention, to briefly describe, embodiment part does not refer to place, can refer to aforementioned side
Corresponding contents in method embodiment.
Embodiment three:
A kind of Distributed Computing Platform based on micro services framework, the Distributed Computing Platform execute following steps:
The information message of real-time reception push, initializes the information temperature of the information message；
All information message received are ranked up according to information temperature, obtain temperature seniority among brothers and sisters；
The User action log of real-time reception information message；
The information temperature that the information message is calculated according to the User action log is updated temperature seniority among brothers and sisters.
Preferably, the User action log by using the Distributed Computing Platform window function counting user row
For data.
Preferably, the information temperature that the information message is calculated according to the User action log arranges the temperature
Row, which is updated, to be specifically included:
For each information message, multiple criterion behavior data and its corresponding weighted value are set；
The behavioral data for including in the User action log of the information message is obtained, is read corresponding with the behavioral data
The weighted value of criterion behavior data；
Feedback contribution value is calculated according to the behavioral data of User action log in the information message and corresponding weighted value；
The feedback contribution value is calculated using preset time decay factor, obtains the information heat of the information message
Degree；
Temperature seniority among brothers and sisters is updated according to the information temperature.
Preferably, the criterion behavior data include number of clicks, collection number and share number.
The calculation formula of the feedback contribution value is as follows:
S (Users)=Weight (click) * click+Weight (favor) * favor+Weight (share) *
share；
Wherein, S (Users) is feedback contribution value, and click is number of clicks, and Weight (click) is corresponding for number of clicks
Weighted value, favor is collection number, and Weight (favor) is the corresponding weighted value of collection number, and share is to share number,
Weight (share) is to share the corresponding weighted value of number.
Preferably, the calculation formula of the information temperature is as follows:
Score=(S (Type)+S (Users))/T (Time)；
Wherein, Score is information temperature, and S (Type) is preset information criteria weights；
T (Time) is the time decay factor:
T (Time)=e^ (k* (T1-T0))；
Wherein, T0 is the issuing time of information message, and T1 is current time, and k is constant parameter.
The Distributed Computing Platform can application server carry out horizontal extension, exponentially increase suitable for information quantity
What the information temperature in long situation was ranked timely updates.
Distributed Computing Platform provided by the embodiment of the present invention, to briefly describe, embodiment part does not refer to place, can
With reference to corresponding contents in preceding method embodiment.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme should all cover within the scope of the claims and the description of the invention.
Claims (10)
1. a kind of magnanimity information temperature towards micro services ranks update method, which is characterized in that the magnanimity information temperature row
Row update method is built on the Distributed Computing Platform of micro services framework, comprising the following steps:
The information message of real-time reception push, initializes the information temperature of the information message；
All information message received are ranked up according to information temperature, obtain temperature seniority among brothers and sisters；
The User action log of real-time reception information message；
The information temperature that the information message is calculated according to the User action log is updated temperature seniority among brothers and sisters.
2. the magnanimity information temperature towards micro services ranks update method according to claim 1, which is characterized in that the use
Family user behaviors log is obtained by the behavioral data using the window function counting user of the Distributed Computing Platform.
3. the magnanimity information temperature towards micro services ranks update method according to claim 2, which is characterized in that described
The information temperature that the information message is calculated according to the User action log is updated temperature seniority among brothers and sisters and specifically includes:
For each information message, multiple criterion behavior data and its corresponding weighted value are set；
The behavioral data for including in the User action log of the information message is obtained, standard corresponding with the behavioral data is read
The weighted value of behavioral data；
Feedback contribution value is calculated according to the behavioral data of User action log in the information message and corresponding weighted value；
The feedback contribution value is calculated using preset time decay factor, obtains the information temperature of the information message；
Temperature seniority among brothers and sisters is updated according to the information temperature.
4. the magnanimity information temperature towards micro services ranks update method according to claim 3, which is characterized in that
The criterion behavior data include number of clicks, collection number and share number；
The calculation formula of the feedback contribution value is as follows:
S (Users)=Weight (click) * click+Weight (favor) * favor+Weight (share) * share；
Wherein, S (Users) is feedback contribution value, and click is number of clicks, and Weight (click) is the corresponding power of number of clicks
Weight values, favor are collection number, and Weight (favor) is the corresponding weighted value of collection number, and share is to share number,
Weight (share) is to share the corresponding weighted value of number.
5. the magnanimity information temperature towards micro services ranks update method according to claim 4, which is characterized in that the money
The calculation formula for interrogating temperature is as follows:
Score=(S (Type)+S (Users))/T (Time)；
Wherein, Score is information temperature, and S (Type) is preset information criteria weights；
T (Time) is the time decay factor:
T (Time)=e^ (k* (T1-T0))；
Wherein, T0 is the issuing time of information message, and T1 is current time, and k is constant parameter.
6. a kind of Distributed Computing Platform based on micro services framework, which is characterized in that the Distributed Computing Platform execute with
Lower step:
The information message of real-time reception push, initializes the information temperature of the information message；
All information message received are ranked up according to information temperature, obtain temperature seniority among brothers and sisters；
The User action log of real-time reception information message；
The information temperature that the information message is calculated according to the User action log is updated temperature seniority among brothers and sisters.
7. the Distributed Computing Platform according to claim 6 based on micro services framework, which is characterized in that
The User action log by using the Distributed Computing Platform window function counting user behavioral data.
8. the Distributed Computing Platform according to claim 7 based on micro services framework, which is characterized in that described according to
User action log calculates the information temperature of the information message, is updated and specifically includes to temperature seniority among brothers and sisters:
For each information message, multiple criterion behavior data and its corresponding weighted value are set；
The behavioral data for including in the User action log of the information message is obtained, standard corresponding with the behavioral data is read
The weighted value of behavioral data；
Feedback contribution value is calculated according to the behavioral data of User action log in the information message and corresponding weighted value；
The feedback contribution value is calculated using preset time decay factor, obtains the information temperature of the information message；
Temperature seniority among brothers and sisters is updated according to the information temperature.
9. the Distributed Computing Platform according to claim 8 based on micro services framework, which is characterized in that
The criterion behavior data include number of clicks, collection number and share number；
The calculation formula of the feedback contribution value is as follows:
S (Users)=Weight (click) * click+Weight (favor) * favor+Weight (share) * share；
Wherein, S (Users) is feedback contribution value, and click is number of clicks, and Weight (click) is the corresponding power of number of clicks
Weight values, favor are collection number, and Weight (favor) is the corresponding weighted value of collection number, and share is to share number,
Weight (share) is to share the corresponding weighted value of number.
10. the Distributed Computing Platform according to claim 9 based on micro services framework, which is characterized in that the information heat
The calculation formula of degree is as follows:
Score=(S (Type)+S (Users))/T (Time)；
Wherein, Score is information temperature, and S (Type) is preset information criteria weights；
T (Time) is the time decay factor:
T (Time)=e^ (k* (T1-T0))；
Wherein, T0 is the issuing time of information message, and T1 is current time, and k is constant parameter.
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