The dispensing analysis method and device of recommending data
Technical field
The present invention relates to data analysis fields, in particular to the dispensing analysis method and device of a kind of recommending data.
Background technology
For data information of people's attention, such as notification message, news data, popularization data etc., the hair of data information
Cloth person often tends to understand the data of its publication via the different effect of different distribution platforms, or on same distribution platform
The front and back effect variation of publication, this effect generally include the effect of time domain and the effect of region.The effect of this feedback is believed
Breath, which not only facilitates caused by publisher understands issued data, to be influenced, but also energy when publisher releases news afterwards
By advance planning, to achieve the desired results as far as possible.By taking most commonly seen television advertising as an example, publisher selects TV
Channel, broadcast slot carry out the dispensing of data;Publisher typically passes through TV programme for the effect of the data of its publication
Audience ratings is assessed.The high channel of audience ratings is often identified as launching good advertising effect.However, this evaluation measures are simultaneously
Do not have objective relevance.As it is possible that certain grade of program audience rating of specific channel is very high, but it is difficult to, it is envisioned that spectators can be right
The advertisement of the special frequency channel keeps same loyalty.This one sided evaluation measures easily cause audience ratings and advertisement to be thrown
The unmatched problem of effect is put, the deviation for making analysis result matter occur is easy;And this analysis method can not be to launching effect
Quantified, visually assessed.
For the dispensing effect of recommendation information can not be carried out in the prior art correctly, accurately, visual assessment
The problem of, currently no effective solution has been proposed.
Invention content
The main purpose of the present invention is to provide the dispensing analysis methods and device of a kind of recommending data, to solve existing skill
The problem of can not carrying out correct, accurate, visual assessment in art to the dispensing effect of recommendation information.
To achieve the goals above, one side according to the ... of the embodiment of the present invention provides a kind of dispensing of recommending data
Analysis method.This method includes:Obtain the dispensing data of recommending data, wherein launch data and include at least:Name of product, throwing
It puts the time and launches place;Obtain the analysis type that data are launched for analyzing recommending data, wherein analysis type at least wraps
It includes:Time comparative analysis and region comparative analysis;According to name of product and release time, the statistical data of targeted website is obtained;
Data analysis is carried out to statistical data according to data and analysis type is launched, obtains analysis result corresponding with analysis type.
When analysis type is time comparative analysis, wherein according to name of product and release time, obtain targeted website
The step of statistical data includes:Obtain pre-set first time period;According to release time and first time period, determination is being thrown
Put the first time section before the time;According to release time and first time period, determine after the release time second when
Between section;It obtains respectively in first time section and in the second time interval, the system of targeted website corresponding with name of product
It counts, wherein statistical data includes:The first data acquisition system corresponding with first time section, and, with the second time interval pair
The second data set answered.At this point, carrying out data analysis to statistical data according to data and analysis type is launched, obtains and analyze
The step of type corresponding analysis result includes:By the statistics in the statistical data and the second data set in the first data acquisition system
Data are compared, and obtain the statistical data in the second time interval after the release time relative to before the release time
First time section in statistical data growth rate.
When analysis type is region comparative analysis, wherein according to name of product and release time, obtain targeted website
The step of statistical data includes:Obtain pre-set second time period;According to release time and second time period, third is determined
Time interval;It obtains in third time interval, the statistical data of targeted website corresponding with name of product.At this point, according to throwing
The step of data and analysis type carry out data analysis to statistical data, obtain analysis result corresponding with analysis type is put to wrap
It includes:Statistical data is divided according to region, generates regional statistical data set corresponding with each region;According to dispensing
Place and regional statistical data statistics set, determine third data acquisition system corresponding with place is launched and with other than dispensing place
4th data acquisition system of region;The statistical data of third data acquisition system is compared with the statistical data of the 4th data acquisition system,
Obtain the statistical data in the third data acquisition system for launching place, the statistical analysis of the 4th data acquisition system relative to other regions
The growth rate of data.
To achieve the goals above, another aspect according to the ... of the embodiment of the present invention provides a kind of dispensing of recommending data
Analytical equipment.The device includes:First acquisition unit, the dispensing data for obtaining recommending data, wherein launch data at least
Including:Name of product, release time and dispensing place;Second acquisition unit launches number for obtaining for analyzing recommending data
According to analysis type, wherein analysis type includes at least:Time comparative analysis and region comparative analysis;Third acquiring unit is used
According to name of product and release time, the statistical data of targeted website is obtained;Analytic unit is used for according to dispensing data and divides
It analyses type and data analysis is carried out to statistical data, obtain analysis result corresponding with analysis type.
When analysis type is time comparative analysis, wherein third acquiring unit includes:First acquisition submodule, is used for
Obtain pre-set first time period;First computational submodule, for according to release time and first time period, determination to be thrown
Put the first time section before the time;Second computational submodule, for according to release time and first time period, determination to be thrown
Put the second time interval after the time;Second acquisition submodule, when for obtaining respectively in first time section with second
Between in section, the statistical data of targeted website corresponding with name of product, wherein statistical data includes:With first time section
Corresponding first data acquisition system, and, the second data set corresponding with the second time interval.At this point, analytic unit includes:Third
Computational submodule, for the statistical data in the first data acquisition system to be compared with the statistical data in the second data set,
The statistical data in the second time interval after the release time is obtained relative to the first time area before the release time
The growth rate of interior statistical data.
When analysis type is region comparative analysis, wherein third acquiring unit includes:Third acquisition submodule, is used for
Obtain pre-set second time period;4th computational submodule, for according to release time and second time period, determining third
Time interval;4th acquisition submodule, for obtaining in third time interval, the system of targeted website corresponding with name of product
It counts.At this point, analytic unit includes:Divide submodule, for statistical data to be divided according to region, generate with it is each
The corresponding regional statistical data set in region;5th acquisition submodule, for according to dispensing place and regional statistical data
Set determines third data acquisition system corresponding with place is launched and the 4th data acquisition system with region other than dispensing place;4th
Computational submodule is obtained for the statistical data of third data acquisition system to be compared with the statistical data of the 4th data acquisition system
In the statistical data for the third data acquisition system for launching place, the statistical data analysis of the 4th data acquisition system relative to other regions
Growth rate.
According to inventive embodiments, by the dispensing data for obtaining recommending data;It obtains and launches number for analyzing recommending data
According to analysis type;According to name of product and release time, the statistical data of targeted website is obtained;According to dispensing data and analysis
Type carries out data analysis to statistical data, obtains analysis result corresponding with analysis type, solving the prior art can not be right
The dispensing effect of recommendation information carries out the problem of correct, accurate, visual assessment.It realizes and passes through various analysis
The effect that recommendation information is analyzed comprehensively.
Description of the drawings
The attached drawing constituted part of this application is used to provide further understanding of the present invention, schematic reality of the invention
Example and its explanation are applied for explaining the present invention, is not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of the dispensing analysis method of recommending data according to the ... of the embodiment of the present invention;
Fig. 2 is the statistical number according to the ... of the embodiment of the present invention that targeted website is obtained when analysis type is time comparative analysis
According to method flow diagram;
Fig. 3 is the statistical number according to the ... of the embodiment of the present invention that targeted website is obtained when analysis type is region comparative analysis
According to method flow diagram;
Fig. 4 is according to the ... of the embodiment of the present invention when analysis type divides to carry out data to statistical data when the comparative analysis of region
The method flow diagram of analysis;
Fig. 5 is according to the ... of the embodiment of the present invention when the statistics that analysis type is the targeted website obtained when time comparative analysis
Schematic diagram data;
Fig. 6 is according to the ... of the embodiment of the present invention when the statistics that analysis type is the targeted website obtained when the comparative analysis of region
Schematic diagram data;And
Fig. 7 is the structural schematic diagram of the dispensing analytical equipment of recommending data according to the ... of the embodiment of the present invention.
Specific implementation mode
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The every other embodiment that member is obtained without making creative work should all belong to the model that the present invention protects
It encloses.
It should be noted that term " first " in description and claims of this specification and above-mentioned attached drawing, "
Two " etc. be for distinguishing similar object, without being used to describe specific sequence or precedence.It should be appreciated that using in this way
Data can be interchanged in the appropriate case, so as to the embodiment of the present invention described herein.In addition, term " comprising " and " tool
Have " and their any deformation, it is intended that cover it is non-exclusive include, for example, containing series of steps or unit
Process, method, system, product or equipment those of are not necessarily limited to clearly to list step or unit, but may include without clear
It is listing to Chu or for these processes, method, product or equipment intrinsic other steps or unit.
Below just to this application involves to noun explain:
Search engine:Search engine (Search Engine) refers to according to certain strategy, with specific computer journey
Sequence collects information from internet, after carrying out tissue and processing to information, retrieval service is provided to the user, by user search phase
The system that the information of pass shows user.Search engine includes that full-text index, directory index, META Search Engine, vertical search are drawn
It holds up, aggregation type search engine, portal search engine and free lists of links etc..
Hot word:Popular vocabulary.Hot word reflects a country, an area a period as a kind of vocabulary phenomenon
People's question of common concern and things.With characteristics of the times, reflect the much-talked-about topic and livelihood issues in a period.
Embodiment 1
An embodiment of the present invention provides a kind of dispensing analysis methods of recommending data.
Fig. 1 is a kind of flow chart of the dispensing analysis method of recommending data according to the ... of the embodiment of the present invention.As shown in Figure 1,
It is as follows that the method comprising the steps of:
Step S10:Obtain the dispensing data of recommending data.
Specifically, in above-mentioned steps S10, launches data and include at least:Name of product, release time and dispensing place;
Name of product is for indicating different recommending data types;When release time is used to indicate the absolute nature that recommending data is launched
Between, it is of course also possible to relative time when for indicating that recommending data is launched relative to the release platform;Place is launched to can be used for
Indicate virtual address, it can also be used to indicate actual geographical location.
Step S20:Obtain the analysis type that data are launched for analyzing recommending data, wherein analysis type includes at least:
Time comparative analysis and region comparative analysis.
Specifically, in above-mentioned steps S20, analysis type is used for the difference according to parameters such as release time, dispensing places
Combined situation flexibly takes different analysis strategies.Analysis type is common, including vertical analysis, horizontal analysis etc., in this Shen
Please in, vertical analysis is presented as that temporal analysis, horizontal analysis are presented as analysis geographically.
Step S30:According to name of product and release time, the statistical data of targeted website is obtained.
Specifically, in above-mentioned steps S30, targeted website can be chosen according to the demand of publication recommending data side, lead to
Often, targeted website can be the social platform of all kinds of search engines or all kinds of openings.
Step S40:Data analysis is carried out to statistical data according to data and analysis type is launched, is obtained and analysis type pair
The analysis result answered.
Specifically, in above-mentioned steps S40, analysis type is the factor that need to be considered when, according to the difference of analysis type, institute
The analysis method taken is also different, generally yields different analysis results.
S10 to step S40 through the above steps, to the dispensing data before and after recommendation information release time point, from time side
It is analyzed in terms of face or space.Chart can be generated, according to the dispensing data before and after release time point with intuitive simultaneously
The variation that recommendation information launches front and back dispensing data is presented.
In conclusion the present invention, which solves, in the prior art can not carry out the dispensing effect of recommendation information correct, standard
The problem of true, visual assessment.Realize the effect analyzed comprehensively recommendation information by various analysis.
Preferably, as shown in Fig. 2, in above-mentioned steps S30, when analysis type is time comparative analysis, according to product
The step of title and release time, the statistical data for obtaining targeted website includes:
Step S301a obtains pre-set first time period.
Step S303a determines the first time section before the release time according to release time and first time period.
Step S305a determines the second time interval after the release time according to release time and first time period.
Step S307a is obtained in first time section and in the second time interval, mesh corresponding with name of product respectively
Mark the statistical data of website, wherein statistical data includes:The first data acquisition system corresponding with first time section, and with second
The corresponding the second data set of time interval.
Specifically, above-mentioned steps S301a to step S307a is determined respectively according to release time and scheduled time span
In the first time section before taking the release time statistical data of targeted website and after the release time in the second time
The statistical data of targeted website in section, obtain the first data acquisition system corresponding with first time section and with the second time interval
Corresponding the second data set.And then by the first data acquisition system and the second data set, to the data before and after the release time into
Row comparative analysis.
Preferably, in above-mentioned steps S40, when analysis type is time comparative analysis, according to dispensing data and analysis
Type carries out data analysis to statistical data, and the step of obtaining analysis result corresponding with analysis type includes:
Step S401a compares the statistical data in the statistical data and the second data set in the first data acquisition system
It is right, the statistical data in the second time interval after the release time is obtained relative to the first time before the release time
The growth rate of statistical data in section.
Specifically, S401a through the above steps, to the data in the second data set and the statistics in the first data acquisition system
Data are compared, and obtain the statistical data in the second time interval after the release time relative to before the release time
First time section in statistical data growth rate, with verification launch data actual effect.
In practical application, just with analysis type, when being time comparative analysis, searched for according to the search engine of advertisement
Amount, microblogging hot word data launch front and back variation in advertisement, for assessing television advertising dispensing effect, implement to the application
The scheme that example 1 provides is described in detail:
Step 1, the dispensing data of recommending data are obtained, herein, recommending data is that advertiser is electric in XX since January 5
The ad data for " the XX trucies " that the XX periods in television stations launch contains name of product " XX cards in the dispensing data
Vehicle " and 5 days January release time and later XX periods.The advertisement is remained unchanged in the advertisement dispensing of other platforms.
Step 2, analysis type is obtained, is time comparative analysis.
Step 3, according to name of product " XX trucies " and release time, the correlation of the advertisement is obtained from search engine provider
Keyword " XX trucies ", the data of the advertising words are obtained from microblog data provider, summarizes data and obtains, " XX trucies " advertisement exists
Before being launched in XX TV stations, i.e., before January 4, the volumes of searches of search engine is 1000, and microblogging hot word index is 500;It is throwing
After putting, i.e., after January 5, " XX trucies " is 2000 in the volumes of searches of search engine, and microblogging hot word index is 1000;Fig. 5 is root
According to the embodiment of the present invention when analysis type is time comparative analysis, the statistical data schematic diagram of the targeted website of acquisition.
Step 4, statistical data is analyzed, obtains analysis result:" XX trucies " is promoted in the volumes of searches of search engine
100%;Microblogging hot word index improves 100%.
Preferably, as shown in figure 3, in above-mentioned steps S30, when analysis type is region comparative analysis, according to product
The step of title and release time, the statistical data for obtaining targeted website includes:
Step S301b obtains pre-set second time period.
Step S303b determines third time interval according to release time and second time period.
Step S305b is obtained in third time interval, the statistical data of targeted website corresponding with name of product.
Specifically, S301b is to step S305b through the above steps, first using the release time as time starting point, obtains and throw
Put the statistical data of the targeted website in the predetermined time length after the time.Obtain all areas in a time interval
Statistical data, the data basis as statistical analysis.
Preferably, as shown in figure 4, in above-mentioned steps S40, when analysis type is region comparative analysis, according to dispensing
Data and analysis type carry out data analysis to statistical data, and the step of obtaining analysis result corresponding with analysis type includes:
Step S401b divides statistical data according to region, generates regional statistical number corresponding with each region
According to set.
Step S403b determines third number corresponding with place is launched according to place and regional statistical data set is launched
The 4th data acquisition system according to set and with region other than dispensing place.
The statistical data of third data acquisition system is compared with the statistical data of the 4th data acquisition system, obtains by step S405b
To the statistical data in the third data acquisition system for launching place, the statistical analysis number of the 4th data acquisition system relative to other regions
According to growth rate.
Specifically, being generated according to region in the statistical data of targeted website by step S401b to step S405b
Region statistical data set corresponding with region, according to the corresponding regional statistical data set in the dispensing place of recommendation information
Generate third data acquisition system.The corresponding regional statistics set in place for not launching recommendation information according to other generates the 4th data
Set.By each region of statistical data and the 4th data acquisition system in each regional data acquisition system of third data acquisition system
Statistical data in data acquisition system is compared, and obtains launching growth rate of the place relative to the non-statistical data for launching place.
In practical applications, just with analysis type, when being region comparative analysis, according to the search engine volumes of searches of advertisement,
Microblogging hot word data launch front and back variation in advertisement, for assessing television advertising dispensing effect, to the embodiment of the present application 1
The scheme of offer is described in detail:
Step 1, the dispensing data of recommending data are obtained, herein, recommending data be advertiser January 4 to January 7 it
Between start B save and TV station of C provinces launch " XX trucies " ad data, wherein launch data include name of product " XX cards
Vehicle " and dispensing place " B provinces " and " C provinces ";It is saved in A and D provinces does not launch the advertisement;
Step 2, analysis type is obtained, is region comparative analysis.
Step 3, according to name of product " XX trucies " and release time, the correlation of the advertisement is obtained from search engine provider
Keyword " XX trucies ", the data of the advertising words are obtained from microblog data provider, are obtained January 4 between January 7
Data;
Step 4, the statistical data of acquisition is summarized according to IP address by province, generates data.Fig. 6 is according to this hair
Bright embodiment when analysis type be region comparative analysis when, the regional statistical data schematic diagram of the targeted website of acquisition.
Before January 4, " XX trucies " is 1000 in the volumes of searches of the search engine of tetra- province of A, B, C, D, and microblogging hot word index is
500;January 4 between January 7, " XX trucies " advertisement is 2000 in the volumes of searches for the search engine that B is saved and C is saved, microblogging
Hot word index is 1000, is saved in A and D provinces remain unchanged.By by the daily average of volumes of searches in 4 to 7 January and hot word index
According to the daily average before January 4 according to being compared, it can be deduced that after launching " XX trucies ", before dispensing, B is saved
With the volumes of searches of the C search engines saved increase 100%, microblogging hot word exponential increase 100%.
Examples detailed above assesses the dispensing effect of television advertising in conjunction with online data, i.e., by region comparative analysis type
Advertisement is launched to advertiser's selection by TV station in some places, is contrasted by IP in conjunction with online data, the difference that comparison ad. launches
Region, the advertisement related term is in search engine, the variation of the data such as microblogging hot word, to assess the dispensing effect of the television advertising.
Embodiment 2
The embodiment of the present invention additionally provides a kind of dispensing analytical equipment of recommending data, as shown in fig. 7, the device can wrap
It includes:First acquisition unit 10, second acquisition unit 20, third acquiring unit 30 and analytic unit 40.
Wherein, first acquisition unit 10, the dispensing data for obtaining recommending data, wherein launch data and include at least:
Name of product, release time and dispensing place.
Second acquisition unit 20, for obtaining the analysis type for launching data for analyzing recommending data, wherein analysis classes
Type includes at least:Time comparative analysis and region comparative analysis.
Third acquiring unit 30, for according to name of product and release time, obtaining the statistical data of targeted website.
Analytic unit 40, for according to data and analysis type is launched to statistical data progress data analysis, obtaining and dividing
Analyse the corresponding analysis result of type.
By above-mentioned first acquisition unit 10, second acquisition unit 20, third acquiring unit 30 and analytic unit 40, to pushing away
The dispensing data before and after information release time point are recommended, are analyzed in terms of the time or in terms of space.It simultaneously can be according to throwing
The dispensing data before and after time point are put, chart is generated, the variation that recommendation information launches front and back dispensing data is intuitively presented.
In conclusion the present invention, which solves, in the prior art can not carry out the dispensing effect of recommendation information correct, standard
The problem of true, visual assessment.Realize the effect analyzed comprehensively recommendation information by various analysis.
Preferably, when analysis type is time comparative analysis, above-mentioned, third acquiring unit 30 includes:First obtains son
Module 301, the first computational submodule 302, the second computational submodule 303 and the second acquisition submodule 304.
Wherein, the first acquisition submodule 301, for obtaining pre-set first time period.
First computational submodule 302, for according to release time and first time period, determining the before the release time
One time interval.
Second computational submodule 303, for according to release time and first time period, determining the after the release time
Two time intervals.
Second acquisition submodule 304, for obtain respectively in first time section and the second time interval in, with product
The statistical data of the corresponding targeted website of title, wherein statistical data includes:The first data set corresponding with first time section
It closes, and, the second data set corresponding with the second time interval.
Specifically, above-mentioned first acquisition submodule 301, the first computational submodule 302, the second computational submodule 303 and
Two acquisition submodules 304, according to release time and scheduled time span, when determining first before taking the release time respectively
Between in section targeted website statistical data and the statistical data of targeted website in the second time interval after the release time,
Obtain and corresponding first data acquisition system in first time section and the second data set corresponding with the second time interval.And then it is logical
The first data acquisition system and the second data set are crossed, the data before and after the release time are compared and analyzed.
Preferably, above-mentioned analytic unit 40 includes:Third computational submodule 401.
Wherein, third computational submodule 401, being used for will be in the statistical data and the second data set in the first data acquisition system
Statistical data be compared, obtain statistical data in the second time interval after the release time relative to when launching
Between before first time section in statistical data growth rate.
Specifically, by above-mentioned third computational submodule 401, to the data and the first data acquisition system in the second data set
In statistical data be compared, obtain statistical data in the second time interval after the release time relative to launching
The growth rate of the statistical data in first time section before time launches the actual effect of data with verification.
Preferably, when analysis type is region comparative analysis, above-mentioned third acquiring unit 30 includes:Third obtains submodule
Block 311, the 4th computational submodule 312 and the 4th acquisition submodule 313.
Wherein, third acquisition submodule 311, for obtaining pre-set second time period.
4th computational submodule 312, for according to release time and second time period, determining third time interval.
4th acquisition submodule 313, for obtaining in third time interval, targeted website corresponding with name of product
Statistical data.
Specifically, passing through above-mentioned third acquisition submodule 311, the 4th computational submodule 312 and the 4th acquisition submodule
313, first using the release time as time starting point, the system of the targeted website in predetermined time length after the acquisition release time
It counts.Obtain the statistical data in all areas in a time interval, the data basis as statistical analysis.
Preferably, when analysis type is region comparative analysis, above-mentioned analytic unit 40 includes:Divide submodule 411, the
Five acquisition submodules 412 and the 4th computational submodule 413.
First divides submodule 411, for dividing the statistical data according to region, generates and each region pair
The regional statistical data set answered.
5th acquisition submodule 412, for according to the dispensings place and the regional statistical data set, determining and
It is described to launch the corresponding third data acquisition system in place and the 4th data acquisition system with region other than the dispensing place.
4th computational submodule 413 is used for the statistical data of the third data acquisition system and the 4th data acquisition system
Statistical data be compared, obtain it is described launch place third data acquisition system statistical data, relative to other regions
The 4th data acquisition system statistical data analysis growth rate.
Specifically, by above-mentioned division submodule 411, the 6th acquisition submodule 412 and the 4th computational submodule 413, from
In the statistical data of targeted website, regional statistical data set corresponding with region is generated according to region, according to recommendation
The corresponding regional statistical data set in dispensing place of breath generates third data acquisition system.Recommendation information is not launched according to other
The corresponding regional statistics set in place generates the 4th data acquisition system.It will be in each regional data acquisition system of third data acquisition system
Statistical data and the 4th data acquisition system each regional data acquisition system in statistical data be compared, obtain launching place
Growth rate relative to the non-statistical data for launching place.
It should be noted that for each method embodiment above-mentioned, for simple description, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should understand that, the present invention is not limited by the described action sequence because
According to the present invention, certain steps can be performed in other orders or simultaneously.Secondly, those skilled in the art should also know
It knows, embodiment described in this description belongs to preferred embodiment, and involved action and module are not necessarily of the invention
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, for example, the unit division, it is only a kind of
Division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit,
Can be electrical or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can be stored in a computer read/write memory medium.Based on this understanding, technical scheme of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, mobile terminal, server or network equipment etc.) executes side described in each embodiment of the present invention
The all or part of step of method.And storage medium above-mentioned includes:USB flash disk, read-only memory (ROM, Read-Only Memory),
Random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various to be stored
The medium of program code.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, any made by repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.