CN109889577A - A kind of stream medium data flow analysis method and system - Google Patents
A kind of stream medium data flow analysis method and system Download PDFInfo
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Abstract
Technical solution of the present invention includes a kind of stream medium data flow analysis method and system, for realizing: the journal file of website is read, each user is obtained and records to being browsed in the website Streaming Media, obtain the information of website Streaming Media；According to the journal file of acquisition and website stream media information, the Streaming Media desired value for being directed to each user is calculated；When user browses web sites, according to user in the desired value of the streaming media of hind computation, region is specified to launch recommendation in website according to desired value.The invention has the benefit that the Streaming Media close with user interest is pushed to user, implementation is simple, human cost is low, huge userbase is not needed as extraction sample, data to be assessed only need the browsing record of user and the stream media information of targeted website storage, do not need the content-data of magnanimity.
Description
Technical field
The present invention relates to a kind of stream medium data flow analysis method and systems, belong to Internet technical field.
Background technique
With the high speed development of internet industry in recent years, magnanimity Streaming Media it is rapid expand make user for selection become
It obtains particularly difficult.Therefore, target customer is analyzed using the flow direction of stream medium data flow, and purposive for target customer
Corresponding streaming medium content is launched, to realize efficient stream medium data push.
Currently used for generate network flow method there are mainly two types of:
One, network flow playback-carries out sniff to network using Technology of Network Sniffer and the data that will acquire are recorded in log
In file, network flow is then generated according to the content recorded in journal file；
Two, model flow generate-after awareness network characteristic to network flow founding mathematical models, and according to mathematical modulo
Type sends data packet, to generate the network flow for meeting overall network characteristic.
The flow that flow produced by method one is generated every time by journal file constraint is the same, and flow is excessively mechanical；
The probabilistic model that method two is integrally obeyed from network flow is started with, and the network flow of generation more connects on the whole with real traffic
Closely, it but cannot reflect the behavior of single user, seem insufficient in many environment.Such as in service-oriented network, service
The request number of times counted single user to a certain service content, fancy grade are generally required when push, to decide whether to be taken
Business push, conventional method cannot effectively support this.
Summary of the invention
To solve the above problems, the purpose of the present invention is to provide a kind of stream medium data flow analysis method and system,
The journal file for reading website obtains each user to record is browsed in the website Streaming Media, obtains the information of website Streaming Media；
According to the journal file of acquisition and website stream media information, the Streaming Media desired value for being directed to each user is calculated；When user is clear
Look at website when, according to user the streaming media of hind computation desired value, according to desired value website specify region launch push away
Recommend content.
On the one hand technical solution used by the present invention solves the problems, such as it is: a kind of stream medium data flow analysis method,
It is characterised by comprising: the journal file of S100, reading website, obtain each user and record to browsing in the website Streaming Media,
Wherein browsing record includes watching each Streaming Media to the broadcasting time of each Streaming Media, the total duration of each Streaming Media, user
Duration, user's Streaming Media for opening the browsing of website first daily and user in the suspending count for seeing Streaming Media；S200, it obtains
Take the information of website Streaming Media, including playback volume, uplink time, Streaming Media total duration and Streaming Media tag types；S300, root
According to the journal file and website stream media information of acquisition, the Streaming Media desired value for being directed to each user is calculated；S400, work as user
When browsing web sites, according to user in the desired value of the streaming media of hind computation, region is specified to launch in website according to desired value
Recommendation.
Further, the S100 includes: S101, using the web log file text of Technology of Network Sniffer acquisition Streaming Media user
Part, wherein web log file file includes the browsing record of each user, and record of looking at includes to the broadcasting time of each Streaming Media, each
The total duration of a Streaming Media, user watch the Streaming Media that the duration of each Streaming Media, user open first browsing in website daily
And user is in the suspending count for seeing Streaming Media；
Further, the S300 includes: S301, each Streaming Media label for browsing of label user, and category is returned
It receives；S302, all Streaming Medias of the corresponding Streaming Media of each label and user's browsing are done into division processing, obtains each type
Streaming Media specific gravity shared in user tag interest；S303, the total duration for the Streaming Media that user was browsed and user see
See that the duration of each Streaming Media as input source, calculates desired value of each Streaming Media in each user using mathematical model,
Wherein mathematical model includes but is not limited to Stochastic Discrete Model and continuous stochastic model；S304, in conjunction with Streaming Media in user tag
The desired value of shared specific gravity and Streaming Media in each user, the specific gravity of the two can customize in interest, obtain Streaming Media
Desired value.
Further, the S300 further include: S305, in conjunction with each Streaming Media broadcasting time, whether be user on the day of
The Streaming Media of browsing and user obtain as weight ratio with step S304 in the suspending count for seeing Streaming Media for the first time
Streaming Media desired value combines；S306, the Streaming Media desired value that obtains that treated.
Further, the S400 includes: S401, detects the user information currently to browse web sites, according to the stream matchmaker of user
The streaming medium content of specified quantity is put into library to be pushed by body desired value；S402, when detect user click pause button when,
A certain number of Streaming Medias are extracted in library pushed, from wait push according to decimation rule in the content that webpage is specified wherein one
Fixed number amount can customize.
Further, the decimation rule is to be pushed at random according to Streaming Media desired value size, wherein random push
Probability it is directly proportional to Streaming Media desired value size.
On the other hand technical solution used by the present invention solves the problems, such as it is: a kind of stream medium data flow analysis system
System characterized by comprising read module obtains each user to the website Streaming Media for reading the journal file of website
Middle browsing record, wherein browsing record includes to the broadcasting time of each Streaming Media, the total duration of each Streaming Media, user's viewing
The duration of each Streaming Media, user open the Streaming Media browsed of website first and user in the pause time for seeing Streaming Media daily
Number；Handling module, for obtaining the information of website Streaming Media, including playback volume, uplink time, Streaming Media total duration and stream matchmaker
Body tag types；Analysis module calculates for the journal file and website stream media information according to acquisition and is directed to each user
Streaming Media desired value；Pushing module, for when user browses web sites, according to user the streaming media of hind computation phase
Prestige value specifies region to launch recommendation according to desired value in website.
Further, the read module includes Technology of Network Sniffer, for obtaining the web log file file of Streaming Media user,
Wherein web log file file includes the browsing record of each user, and record of looking at includes to the broadcasting time of each Streaming Media, each
The total duration of Streaming Media, user watch the duration of each Streaming Media, user open daily the Streaming Media of the browsing of website first with
And user is in the suspending count for seeing Streaming Media；
Further, the analysis module includes: that label concludes module, each Streaming Media for marking user to browse
Label, and category is concluded；Computing module, for doing the corresponding Streaming Media of each label and all Streaming Medias that user browses
Division processing, the Streaming Media for obtaining the Streaming Media of each type specific gravity shared in user tag interest and browsing user
Total duration and user watch each Streaming Media duration as input source, calculate each Streaming Media each using mathematical model
Desired value in a user, wherein mathematical model includes but is not limited to Stochastic Discrete Model and continuous stochastic model；Output module,
For according to computing module and read module obtain as a result, combined according to certain weight proportion, obtain Streaming Media desired value.
Further, the pushing module includes: detection module, for detecting the user information currently to browse web sites, root
According to the Streaming Media desired value of user, the streaming medium content of specified quantity is put into library to be pushed；Library module to be pushed, for interim
Store streaming medium content to be pushed；Abstraction module, for from wait push in library, according to decimation rule according to Streaming Media desired value
Size is pushed at random, wherein the probability pushed at random is directly proportional to Streaming Media desired value size.
The beneficial effects of the present invention are: the Streaming Media close with user interest is pushed to user, implementation is simple, people
Power is at low cost, does not need huge userbase as extracting sample, data to be assessed only need the browsing of user record and
The stream media information of targeted website storage, does not need the content-data of magnanimity.
Detailed description of the invention
Fig. 1 is method flow schematic diagram of the invention；
Fig. 2 is system structure diagram of the invention；
Fig. 3 show probability density schematic diagram.
Specific embodiment
It is carried out below with reference to technical effect of the embodiment and attached drawing to design of the invention, specific structure and generation clear
Chu, complete description, to be completely understood by the purpose of the present invention, scheme and effect.
It should be noted that unless otherwise specified, when a certain feature referred to as " fixation ", " connection " are in another feature,
It can directly fix, be connected to another feature, and can also fix, be connected to another feature indirectly.In addition, this
The descriptions such as the upper and lower, left and right used in open are only the mutual alignment pass relative to each component part of the disclosure in attached drawing
For system.The "an" of used singular, " described " and "the" are also intended to including most forms in the disclosure, are removed
Non- context clearly expresses other meaning.In addition, unless otherwise defined, all technical and scientific terms used herein
It is identical as the normally understood meaning of those skilled in the art.Term used in the description is intended merely to describe herein
Specific embodiment is not intended to be limiting of the invention.Term as used herein "and/or" includes one or more relevant
The arbitrary combination of listed item.
It will be appreciated that though various elements, but this may be described using term first, second, third, etc. in the disclosure
A little elements should not necessarily be limited by these terms.These terms are only used to for same type of element being distinguished from each other out.For example, not departing from
In the case where disclosure range, first element can also be referred to as second element, and similarly, second element can also be referred to as
One element.The use of provided in this article any and all example or exemplary language (" such as ", " such as ") is intended merely to more
Illustrate the embodiment of the present invention well, and unless the context requires otherwise, otherwise the scope of the present invention will not be applied and be limited.
It is method flow schematic diagram of the invention referring to Fig.1,
S100, the journal file for reading website obtain each user to record is browsed in the website Streaming Media, wherein browsing
Record includes the duration for watching the broadcasting time of each Streaming Media, the total duration of each Streaming Media, user each Streaming Media, uses
The Streaming Media browsed of website first and user are opened daily in the suspending count for seeing Streaming Media in family；S200, website stream is obtained
The information of media, including playback volume, uplink time, Streaming Media total duration and Streaming Media tag types；S300, according to acquisition
Journal file and website stream media information, calculate be directed to each user Streaming Media desired value；S400, when user browse
When website, according to user in the desired value of the streaming media of hind computation, specifies region to launch in website according to desired value and recommend
Content.
S100 includes: S101, the web log file file for obtaining using Technology of Network Sniffer Streaming Media user, wherein web log file
File includes the browsing record of each user, record of looking at include to the broadcasting time of each Streaming Media, each Streaming Media it is total when
Long, user watches the Streaming Media that the duration of each Streaming Media, user open the browsing of website first daily and user in sight stream
The suspending count of media；
S300 includes: S301, each Streaming Media label for browsing of label user, and category is concluded；S302, will be each
The corresponding Streaming Media of label and all Streaming Medias of user's browsing do division processing, and the Streaming Media for obtaining each type is marked in user
Sign specific gravity shared in interest；S303, the total duration for the Streaming Media that user browsed and user are watched into each Streaming Media
Duration calculates desired value of each Streaming Media in each user as input source, using mathematical model, wherein mathematical model packet
Include but be not limited to Stochastic Discrete Model and continuous stochastic model；S304, in conjunction with Streaming Media ratio shared in user tag interest
The desired value of weight and Streaming Media in each user, the specific gravity of the two can customize, and obtain Streaming Media desired value.
According to the value that stochastic variable may obtain, they can be divided into two kinds of fundamental types:
Discrete type
Discrete type (discrete) stochastic variable is limited in certain section internal variable value or can be several.Such as certain
The birth number of regional certain year population, death toll, certain medicine treat significant figure, the invalid number etc. of certain sick patient.Discrete random variable
Usually according to probability mass function classify, be broadly divided into: Bernoulli random variable, binomial stochastic variable, geometry stochastic variable and
Poisson stochastic variable.
Continuous type
Continuous type (continuous) stochastic variable has unlimited or numerical value can not one in certain section internal variable value
One enumerates.Such as height value, the weight value of somewhere men's health adult, the serum of a collection of infectious hepatitis patient turn ammonia
Enzymatic determination value etc..There are several important continuous random variables to occur frequently in probability theory, such as: uniform random variable, index with
Machine variable, gamma stochastic variable and normal random variable.
S300 further include: S305, in conjunction with each Streaming Media broadcasting time, whether be the stream of browsing for the first time on the day of user
Media and user are in the suspending count for seeing Streaming Media, as weight ratio, the Streaming Media desired value knot that is obtained with step S304
It closes；S306, the Streaming Media desired value that obtains that treated.
S400 includes: that S401, the user information that currently browses web sites of detection will refer to according to the Streaming Media desired value of user
The streaming medium content of fixed number amount is put into library to be pushed；S402, when detecting that user clicks pause button, in webpage is specified
A certain number of Streaming Medias are extracted in library being pushed, wherein certain amount can be made by oneself according to decimation rule in appearance from wait push
Justice.
Decimation rule is to be pushed at random according to Streaming Media desired value size, wherein the probability and Streaming Media that push at random
Desired value size is directly proportional.
It is system structure diagram of the invention referring to Fig. 2,
Include: read module, for reading the journal file of website, obtains each user to browsing in the website Streaming Media
Record, wherein browsing record includes watching each stream to the broadcasting time of each Streaming Media, the total duration of each Streaming Media, user
The duration of media, user open the Streaming Media browsed of website first and user in the suspending count for seeing Streaming Media daily；It grabs
Modulus block, for obtaining the information of website Streaming Media, including playback volume, uplink time, Streaming Media total duration and Streaming Media mark
Sign type；Analysis module calculates the stream for being directed to each user for the journal file and website stream media information according to acquisition
Media desired value；Pushing module, for when user browses web sites, according to user the streaming media of hind computation expectation
Value specifies region to launch recommendation according to desired value in website.
Read module includes Technology of Network Sniffer, for obtaining the web log file file of Streaming Media user, wherein web log file
File includes the browsing record of each user, record of looking at include to the broadcasting time of each Streaming Media, each Streaming Media it is total when
Long, user watches the Streaming Media that the duration of each Streaming Media, user open the browsing of website first daily and user in sight stream
The suspending count of media；
Analysis module includes: that label concludes module, each Streaming Media label for marking user to browse, and category
It concludes；Computing module is obtained for all Streaming Medias of the corresponding Streaming Media of each label and user's browsing to be done division processing
The Streaming Media of each type specific gravity shared in user tag interest and the total duration for the Streaming Media for browsing user and
User watches the duration of each Streaming Media as input source, calculates phase of each Streaming Media in each user using mathematical model
Prestige value, wherein mathematical model includes but is not limited to Stochastic Discrete Model and continuous stochastic model；Output module, for according to calculating
It is that module and read module obtain as a result, combined according to certain weight proportion, obtain Streaming Media desired value.
Pushing module includes: detection module, for detecting the user information currently to browse web sites, according to the Streaming Media of user
The streaming medium content of specified quantity is put into library to be pushed by desired value；Library module to be pushed, for temporarily storing stream to be pushed
Media content；Abstraction module, for being pushed away at random according to Streaming Media desired value size according to decimation rule from wait push in library
It send, wherein the probability pushed at random is directly proportional to Streaming Media desired value size.
It is shown probability density schematic diagram referring to Fig. 3,
The probability density of distribution is as shown in figure 3, X-axis represents value, and Y-axis represents the probability f (x) for taking the value, wherein 0=< f
(x)≤1.According to the method for obeying distribution and parameter generation random number are as follows:
1. generating the random number x between 1 to N (maximum value that N is value), is acquired according to probability density and parameter and take the value
Probability f (x)；
2. the number i being randomly generated between one 0 to 1 is exactly we need as crossed i≤f (x) so random number x, no
It then goes to 1., until generating the random number met.It is selected when the probability according to probability density access x is big so general
For rate with regard to big, a large amount of random number generated in this way is just consistent with specified distribution on the whole.
Briefly, stochastic variable refers to the quantity performance of chance event.Such as a batch injects the animal of certain poisonous substance,
Dead number of elements in certain time；In the men's health adult of several of somewhere, the measured value of everyone hemoglobin content；Etc..Separately
There are some phenomenons not directly translate into quantity, such as gender, the positive or negative of test result of population etc., but we
It can specify that male is 1, women 0, then non-numerical indicant can also be indicated with quantity.The amount being previously mentioned in these examples,
Although their particular content be it is miscellaneous, from the point of view of mathematical terms, they are demonstrated by same situation, and here it is every
A variable can randomly obtain different numerical value, and before being tested or being measured, we will foretell that this variable will
It is impossible for obtaining the numerical value of some determination.
It should be appreciated that the embodiment of the present invention can be by computer hardware, the combination of hardware and software or by depositing
The computer instruction in non-transitory computer-readable memory is stored up to be effected or carried out.Standard volume can be used in the method
Journey technology-includes that the non-transitory computer-readable storage media configured with computer program is realized in computer program,
In configured in this way storage medium computer is operated in a manner of specific and is predefined --- according in a particular embodiment
The method and attached drawing of description.Each program can with the programming language of level process or object-oriented come realize with department of computer science
System communication.However, if desired, the program can be realized with compilation or machine language.Under any circumstance, which can be volume
The language translated or explained.In addition, the program can be run on the specific integrated circuit of programming for this purpose.
In addition, the operation of process described herein can be performed in any suitable order, unless herein in addition instruction or
Otherwise significantly with contradicted by context.Process described herein (or modification and/or combination thereof) can be held being configured with
It executes, and is can be used as jointly on the one or more processors under the control of one or more computer systems of row instruction
The code (for example, executable instruction, one or more computer program or one or more application) of execution, by hardware or its group
It closes to realize.The computer program includes the multiple instruction that can be performed by one or more processors.
Further, the method can be realized in being operably coupled to suitable any kind of computing platform, wrap
Include but be not limited to PC, mini-computer, main frame, work station, network or distributed computing environment, individual or integrated
Computer platform or communicated with charged particle tool or other imaging devices etc..Each aspect of the present invention can be to deposit
The machine readable code on non-transitory storage medium or equipment is stored up to realize no matter be moveable or be integrated to calculating
Platform, such as hard disk, optical reading and/or write-in storage medium, RAM, ROM, so that it can be read by programmable calculator, when
Storage medium or equipment can be used for configuration and operation computer to execute process described herein when being read by computer.This
Outside, machine readable code, or part thereof can be transmitted by wired or wireless network.When such media include combining microprocessor
Or other data processors realize steps described above instruction or program when, invention as described herein including these and other not
The non-transitory computer-readable storage media of same type.When methods and techniques according to the present invention programming, the present invention
It further include computer itself.
Computer program can be applied to input data to execute function as described herein, to convert input data with life
At storing to the output data of nonvolatile memory.Output information can also be applied to one or more output equipments as shown
Device.In the preferred embodiment of the invention, the data of conversion indicate physics and tangible object, including the object generated on display
Reason and the particular visual of physical objects are described.
The above, only presently preferred embodiments of the present invention, the invention is not limited to above embodiment, as long as
It reaches technical effect of the invention with identical means, all within the spirits and principles of the present invention, any modification for being made,
Equivalent replacement, improvement etc., should be included within the scope of the present invention.Its technical solution within the scope of the present invention
And/or embodiment can have a variety of different modifications and variations.
Claims (10)
1. a kind of stream medium data flow analysis method characterized by comprising
S100, the journal file for reading website obtain each user to record is browsed in the website Streaming Media, wherein browsing record
It is every that the duration of each Streaming Media, user are watched including the broadcasting time to each Streaming Media, the total duration of each Streaming Media, user
The Streaming Media for opening the browsing of website first day and user are in the suspending count for seeing Streaming Media；
S200, the information for obtaining website Streaming Media, including playback volume, uplink time, Streaming Media total duration and Streaming Media label
Type；
S300, journal file and website stream media information according to acquisition calculate the Streaming Media desired value for being directed to each user；
S400, when user browses web sites, according to user the streaming media of hind computation desired value, according to desired value in net
It stands and region is specified to launch recommendation.
2. stream medium data flow analysis method according to claim 1, which is characterized in that the S100 includes:
S101, the web log file file that Streaming Media user is obtained using Technology of Network Sniffer, wherein web log file file includes each
The browsing of user records, and record of looking at includes each to the broadcasting time of each Streaming Media, the total duration of each Streaming Media, user's viewing
The duration of a Streaming Media, user open the Streaming Media browsed of website first and user in the pause time for seeing Streaming Media daily
Number.
3. stream medium data flow analysis method according to claim 1, which is characterized in that the S300 includes:
Each Streaming Media label that S301, label user browsed, and category is concluded；
S302, all Streaming Medias of the corresponding Streaming Media of each label and user's browsing are done into division processing, obtains each type
Streaming Media specific gravity shared in user tag interest；
S303, the total duration for the Streaming Media that user browsed and user are watched to the duration of each Streaming Media as input source,
Calculate desired value of each Streaming Media in each user using mathematical model, wherein mathematical model include but is not limited to it is discrete with
Machine model and continuous stochastic model；
S304, the desired value in conjunction with Streaming Media specific gravity and Streaming Media shared in user tag interest in each user,
The specific gravity of the two can customize, and obtain Streaming Media desired value.
4. stream medium data flow analysis method according to claim 3, which is characterized in that the S300 further include:
S305, in conjunction with each Streaming Media broadcasting time, whether be that the Streaming Media of browsing and user exist for the first time on the day of user
The suspending count for seeing Streaming Media, as weight ratio, in conjunction with the Streaming Media desired value that step S304 is obtained；
S306, the Streaming Media desired value that obtains that treated.
5. stream medium data flow analysis method according to claim 1, which is characterized in that the S400 includes:
The user information that S401, detection currently browse web sites, according to the Streaming Media desired value of user, by the Streaming Media of specified quantity
Content is put into library to be pushed；
S402, when detecting that user clicks pause button, according to decimation rule from library to be pushed in the content that webpage is specified
The middle a certain number of Streaming Medias of extraction are pushed, and wherein certain amount can customize.
6. stream medium data flow analysis method according to claim 5, which is characterized in that the decimation rule be according to
Streaming Media desired value size is pushed at random, wherein the probability pushed at random is directly proportional to Streaming Media desired value size.
7. a kind of stream medium data flow analysis system characterized by comprising
Read module obtains each user and records to browsing in the website Streaming Media for reading the journal file of website, wherein
Browsing record include the broadcasting time of each Streaming Media, the total duration of each Streaming Media, user are watched each Streaming Media when
Long, user opens the Streaming Media browsed of website first and user in the suspending count for seeing Streaming Media daily；
Handling module, for obtaining the information of website Streaming Media, including playback volume, uplink time, Streaming Media total duration and stream
Media label type；
Analysis module calculates the stream matchmaker for being directed to each user for the journal file and website stream media information according to acquisition
Body desired value；
Pushing module, for when user browses web sites, according to user the streaming media of hind computation desired value, according to the phase
Prestige value specifies region to launch recommendation in website.
8. stream medium data flow analysis system according to claim 7, which is characterized in that the read module includes net
Network sniffer, for obtaining the web log file file of Streaming Media user, wherein web log file file includes the browsing of each user
Record, record of looking at includes watching each Streaming Media to the broadcasting time of each Streaming Media, the total duration of each Streaming Media, user
Duration, user open the Streaming Media browsed of website first and user in the suspending count for seeing Streaming Media daily.
9. stream medium data flow analysis system according to claim 7, which is characterized in that the analysis module includes:
Label is concluded module, each Streaming Media label for marking user to browse, and category and is concluded；
Computing module is obtained for all Streaming Medias of the corresponding Streaming Media of each label and user's browsing to be done division processing
The Streaming Media of each type specific gravity shared in user tag interest and the total duration for the Streaming Media for browsing user and
User watches the duration of each Streaming Media as input source, calculates phase of each Streaming Media in each user using mathematical model
Prestige value, wherein mathematical model includes but is not limited to Stochastic Discrete Model and continuous stochastic model；
Output module, for according to computing module and read module obtain as a result, combined according to certain weight proportion, obtain Streaming Media
Desired value.
10. stream medium data flow analysis system according to claim 7, which is characterized in that the pushing module includes:
Detection module, for detecting the user information currently to browse web sites, according to the Streaming Media desired value of user, by specified quantity
Streaming medium content be put into library to be pushed；
Library module to be pushed, for temporarily storing streaming medium content to be pushed；
Abstraction module, for being pushed at random according to Streaming Media desired value size according to decimation rule from wait push in library,
In the probability that pushes at random it is directly proportional to Streaming Media desired value size.
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