CN110377863A - A kind of the expansion approximating method and expansion fitting device of browsing stock assessment point - Google Patents
A kind of the expansion approximating method and expansion fitting device of browsing stock assessment point Download PDFInfo
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Abstract
This application provides a kind of expansion approximating method of browsing stock assessment point and expand fitting device, obtain browsing resource in the total audience ratings of at least one of at least one historical act, and the arrival rate for browsing resource corresponding with each total audience ratings；Based at least one total audience ratings and arrival rate corresponding with each total audience ratings, determines in the assessment scatter plot of browsing resource, and assessment scatter plot and browse at least one evaluation point of resource and the number of at least one evaluation point；By the evaluation point number threshold value comparison of the number of evaluation point and preset browsing resource；If the number of evaluation point is less than evaluation point number threshold value, the quantity of at least one evaluation point is expanded respectively, and assesses multiple expansion evaluation points in scatter plot after determining expansion；Based on multiple expansion evaluation points, the assessment curve of browsing resource is drawn.So that the accuracy rate of the assessment curve fitted is higher, helps to improve analysis and estimate the accuracy of the dispensing effect of the browsing resource.
Description
Technical field
This application involves Data Detection Technology fields, more particularly, to a kind of expansion approximating method for browsing stock assessment point
And expand fitting device.
Background technique
With economic growth, the improvement of people's living standards, people can watch more browsing moneys in a network
Source.In order to cater to the hobby of people, the network platform will carry out data analysis to the browsing resource launched, determine people
More interested browsing resource.
Currently, the analysis of the dispensing effect for browsing resource is the assessment curve by drawing browsing resource, based on clear
The assessment curve assessment curve being analyzed and estimated, but draw browsing resource of resource look at needs a large amount of browsing resource
Historical act data, if it can be used to be fitted assessment curve when the historical act negligible amounts of a browsing resource
Evaluation point is also just less, is difficult accurately to fit assessment curve, is also difficult to analyze the dispensing effect of browsing resource
And it estimates.
Summary of the invention
In view of this, the application's is designed to provide a kind of expansion approximating method for browsing stock assessment point and expands quasi-
It attaches together and sets, by obtaining total audience ratings of the browsing resource at least one historical act and corresponding with total audience ratings
The arrival rate of the browsing resource determines the browsing resource in the assessment scatter plot of the browsing resource at least one
The number of evaluation point and at least one evaluation point is determined the need for according to the number of the evaluation point to described at least one
A evaluation point is expanded, and draws the assessment curve of the browsing resource after expanding.To going through in the browsing resource
In the case that history activity data is less, existing historical act data are based on, the historical act data are expanded, thus
So that the accuracy rate of the assessment curve fitted is higher, helps to improve analysis and estimate the dispensing effect of the browsing resource
Accuracy.
The embodiment of the present application provides a kind of expansion approximating method for browsing stock assessment point, the expansion approximating method packet
It includes:
Obtain browsing resource in the total audience ratings of at least one of at least one historical act, and with each total receipts
The arrival rate of the corresponding browsing resource depending on rate；
Based at least one described total audience ratings and the arrival rate corresponding with each total audience ratings, institute is determined
State browsing at least one evaluation point of resource described in the assessment scatter plot and the assessment scatter plot of browsing resource and described
The number of at least one evaluation point；
By the evaluation point number threshold value comparison of the number of the evaluation point and the preset browsing resource；
If the number of the evaluation point is less than the evaluation point number threshold value, respectively to the number of at least one evaluation point
Amount is expanded, and determines the multiple expansion evaluation points assessed in scatter plot after expansion；
Based on the multiple expansion evaluation point, the assessment curve of the browsing resource is drawn.
Further, in the evaluation point number threshold value of the number by the evaluation point and the preset browsing resource
After comparing, the expansion approximating method further include:
If the number of the evaluation point is greater than or equal to the evaluation point number threshold value, at least one described assessment is clicked through
The assessment curve of the browsing resource is drawn in row fitting.
Further, if the number of the evaluation point be less than the evaluation point number threshold value, respectively to it is described at least
The quantity of one evaluation point is expanded, and determines the multiple expansion evaluation points assessed in scatter plot after expansion, comprising:
For each total audience ratings, the corresponding evaluation point of the total audience ratings is obtained, and default expands step-length；
It is that initial expansion audience ratings and each expansion audience ratings are expanded next time with the default expansion step-length
Incremental value, take total audience ratings as the expansion audience ratings of cut-off, obtain multiple expansion audience ratings；
Based on multiple expansion audience ratings, expansion arrival rate corresponding with each expansion audience ratings is calculated；
Based on multiple expansion audience ratings and the expansion arrival rate corresponding with each expansion audience ratings, obtain
Obtain multiple expansion evaluation points after the evaluation point expands in the assessment scatter plot.
Further, if the number of the evaluation point be less than the evaluation point number threshold value, respectively to it is described at least
The quantity of one evaluation point is expanded, and determines the multiple expansion evaluation points assessed in scatter plot after expansion, comprising:
For each total audience ratings, multiple statistical time points in historical act corresponding with the total audience ratings are determined,
And the corresponding evaluation point of the total audience ratings；
According to the time sequencing of the multiple statistical time point, determine the browsing resource in each statistical time point
Audience ratings, and each audience ratings is determined as the expansion audience ratings for browsing resource, total audience ratings is determined as ending
Expansion audience ratings；
Based on multiple expansion audience ratings, expansion arrival rate corresponding with each expansion audience ratings is calculated；
Based on multiple expansion audience ratings and the expansion arrival rate corresponding with each expansion audience ratings, obtain
Obtain multiple expansion evaluation points after the evaluation point expands in the assessment scatter plot.
Further, described to be based on multiple expansion audience ratings, calculate expansion corresponding with each expansion audience ratings
Fill arrival rate, comprising:
For each total audience ratings, obtains network of the browsing resource in the corresponding historical act of the total audience ratings and push away
And target number；
For multiple expansion audience ratings of total audience ratings, calculate corresponding more with multiple expansion audience ratings
A target group's accumulated exposure number；
Obtain the accumulative independent access person people of multiple target groups corresponding with multiple target group's accumulated exposure numbers
Number；
Add up independent access person number based on multiple target groups and the network spreads to target number, calculating should
Multiple expansion arrival rate of total audience ratings.
The embodiment of the present application also provides a kind of expansions for browsing stock assessment point to be fitted device, and the expansion is fitted device
Include:
Module is obtained, browses resource in the total audience ratings of at least one of at least one historical act for obtaining, and
The arrival rate of the browsing resource corresponding with each total audience ratings；
Determining module, for based on it is described acquisition module obtain at least one total audience ratings and with each total receipts
The corresponding arrival rate depending on rate determines clear described in the assessment scatter plot and the assessment scatter plot of the browsing resource
Look at least one evaluation point of resource and the number of at least one evaluation point；
Comparison module, the number of the evaluation point for determining the determining module are commented with the preset browsing resource
Estimate a number threshold value comparison；
Enlargement module, if for the evaluation point number be less than the evaluation point number threshold value, respectively to it is described at least
The quantity of one evaluation point is expanded, and determines the multiple expansion evaluation points assessed in scatter plot after expansion；
First drafting module, multiple expansion evaluation points for being expanded based on the enlargement module draw the browsing money
The assessment curve in source.
Further, the expansion is fitted device further include:
Second drafting module, if the number for the evaluation point is greater than or equal to the evaluation point number threshold value, to institute
It states at least one evaluation point to be fitted, draws the assessment curve of the browsing resource.
Further, the enlargement module includes:
Acquiring unit obtains the corresponding evaluation point of the total audience ratings for being directed to each total audience ratings, and default expands
Step-length；
First expansion unit, default expansion step-length for being obtained with the acquiring unit be initial expansion audience ratings with
And each incremental value for expanding audience ratings and being expanded next time, take total audience ratings as the expansion audience ratings of cut-off, obtains more
A expansion audience ratings；
First computing unit, multiple expansion audience ratings for being expanded based on first expansion unit, calculate with
The corresponding expansion arrival rate of each expansion audience ratings；
First determination unit, expansion audience ratings for being expanded based on multiple first expansion units and with each institute
It states and expands the corresponding calculated expansion arrival rate of first computing unit of audience ratings, determine that this in the assessment scatter plot is commented
Multiple expansion evaluation points after estimating an expansion.
Further, the enlargement module further include:
Second determination unit determines in historical act corresponding with the total audience ratings for being directed to each total audience ratings
Multiple statistical time points and the corresponding evaluation point of the total audience ratings；
Third determination unit, the time sequencing of multiple statistical time points for being determined according to second determination unit,
It determines audience ratings of the browsing resource in each statistical time point, and each audience ratings is determined as the browsing resource
Expand audience ratings, total audience ratings is determined as to the expansion audience ratings of cut-off；
Second computing unit, for based on the third determination unit determine multiple expansion audience ratings, calculate with
The corresponding expansion arrival rate of each expansion audience ratings；
4th determination unit, for based on the third determination unit determine multiple expansion audience ratings and with each institute
It states and expands the corresponding calculated expansion arrival rate of second computing unit of audience ratings, determine that this in the assessment scatter plot is commented
Multiple expansion evaluation points after estimating an expansion.
Further, first computing unit or second computing unit are specifically used for:
For each total audience ratings, obtains network of the browsing resource in the corresponding historical act of the total audience ratings and push away
And target number；
For multiple expansion audience ratings of total audience ratings, calculate corresponding more with multiple expansion audience ratings
A target group's accumulated exposure number；
Obtain the accumulative independent access person people of multiple target groups corresponding with multiple target group's accumulated exposure numbers
Number；
Add up independent access person number based on multiple target groups and the network spreads to target number, calculating should
Multiple expansion arrival rate of total audience ratings.
The embodiment of the present application also provides a kind of electronic equipment, comprising: processor, memory and bus, the memory are deposited
Contain the executable machine readable instructions of the processor, when electronic equipment operation, the processor and the memory it
Between executed by bus communication, when the machine readable instructions are executed by the processor as it is above-mentioned browse stock assessment point
The step of expanding approximating method.
The embodiment of the present application also provides a kind of computer readable storage medium, is stored on the computer readable storage medium
Computer program executes the expansion approximating method such as above-mentioned browsing stock assessment point when the computer program is run by processor
The step of.
The expansion approximating method and expansion fitting device of browsing stock assessment point provided by the embodiments of the present application, obtain browsing
Resource is and corresponding described clear with each total audience ratings in the total audience ratings of at least one of at least one historical act
Look at the arrival rate of resource；Based at least one described total audience ratings and the arrival corresponding with each total audience ratings
Rate determines that at least one that resource is browsed described in the assessment scatter plot and the assessment scatter plot of the browsing resource is commented
Estimate a little and the number of at least one evaluation point；By the evaluation point of the number of the evaluation point and the preset browsing resource
Number threshold value comparison；If the number of the evaluation point is less than the evaluation point number threshold value, respectively at least one described assessment
The quantity of point is expanded, and determines the multiple expansion evaluation points assessed in scatter plot after expansion；Based on the multiple expansion
Evaluation point is filled, the assessment curve of the browsing resource is drawn.
In such manner, it is possible to be determined by the total audience ratings of at least one of at least one historical act of acquisition browsing resource
The arrival rate of the browsing resource corresponding with each total audience ratings, based at least one described total audience ratings and with it is every
The corresponding arrival rate of a total audience ratings, determines the assessment scatter plot of the browsing resource, and determine in figure
The evaluation point of the browsing resource and the number of the evaluation point, by providing the number of evaluation point and the preset browsing
The evaluation point number threshold value in source is compared, it is determined whether and need the quantity of the evaluation point to the browsing resource to expand,
Expanded if necessary, based on the expansion audience ratings after expansion and expand arrival rate, determines the assessment of the browsing resource
Scatter plot, and the evaluation point in figure is fitted, obtain the assessment curve of the browsing resource.So that is fitted comments
The accuracy rate for estimating curve is higher, helps to improve analysis and estimates the accuracy of the dispensing effect of the browsing resource.
To enable the above objects, features, and advantages of the application to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
Technical solution in ord to more clearly illustrate embodiments of the present application, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only some embodiments of the application, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is a kind of flow chart of the expansion approximating method of browsing stock assessment point provided by the embodiment of the present application；
Fig. 2 is a kind of process of the expansion approximating method of browsing stock assessment point provided by another embodiment of the application
Figure；
Fig. 3 is a kind of structural schematic diagram of the expansion fitting device of browsing stock assessment point provided by the embodiment of the present application
One of；
Fig. 4 is a kind of structural schematic diagram of the expansion fitting device of browsing stock assessment point provided by the embodiment of the present application
Two；
Fig. 5 is the structural schematic diagram of a kind of electronic equipment provided by the embodiment of the present application.
Specific embodiment
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application
Middle attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only
It is some embodiments of the present application, instead of all the embodiments.The application being usually described and illustrated herein in the accompanying drawings is real
The component for applying example can be arranged and be designed with a variety of different configurations.Therefore, below to the application's provided in the accompanying drawings
The detailed description of embodiment is not intended to limit claimed scope of the present application, but is merely representative of the selected reality of the application
Apply example.Based on embodiments herein, those skilled in the art are obtained every without making creative work
A other embodiments, shall fall in the protection scope of this application.
Firstly, the application application scenarios applicatory are introduced.The application can be applied to Data Detection Technology field.
Expansion in the application is fitted device, by obtain total audience ratings of the browsing resource in each historical act and with it is described total
The arrival rate of the corresponding browsing resource of audience ratings, determines the browsing money in the assessment scatter plot of the browsing resource
At least one evaluation point in source and the number of at least one evaluation point by the number of at least one evaluation point and are preset
The browsing resource evaluation point number threshold value between be compared, if the number of the evaluation point be less than the evaluation point
Number threshold value then respectively expands the quantity of at least one evaluation point, and based on multiple expansions assessment after expansion
The assessment curve of the browsing resource after point-rendering expansion.
It has been investigated that currently, the historical act data based on browsing resource, the assessment for drawing the browsing resource are bent
Line then launches effect to it according to the assessment curve of the browsing resource and is analyzed and estimated, but draws browsing resource
Assessment curve need the historical act data of a large amount of browsing resource, the historical act negligible amounts of resource are browsed when one
When, it is also just less it can be used to carry out the evaluation point of assessment curve matching, it is difficult accurately to fit assessment curve, also just very
Difficulty is analyzed and is estimated to the dispensing effect of browsing resource.
Based on this, the embodiment of the present application provides a kind of expansion approximating method for browsing stock assessment point, clear by obtaining
Look at the arrival rate of total audience ratings of the resource in each historical act and the browsing resource corresponding with the total audience ratings,
Determine it is described browsing resource assessment scatter plot in the browsing resource at least one evaluation point and it is described at least one
The number of evaluation point will compare between the number of the evaluation point and the evaluation point number threshold value of the preset browsing resource
Compared with if the number of the evaluation point is less than the evaluation point number threshold value, respectively to the number of at least one evaluation point
Amount is expanded, and the assessment curve based on the browsing resource after multiple expansions assessment point-rendering expansion after expansion.From
And in the case where the historical act data of the browsing resource are less, existing historical act data are based on, to the history
Activity data is expanded, so that the accuracy rate of the assessment curve fitted is higher, is helped to improve analysis and is estimated institute
State the accuracy of the dispensing effect of browsing resource.
Referring to Fig. 1, Fig. 1 is a kind of expansion approximating method of browsing stock assessment point provided by the embodiment of the present application
Flow chart.Institute is as shown in fig. 1, the expansion approximating method of browsing stock assessment point provided by the embodiments of the present application, comprising:
Step 101, obtain browsing resource in the total audience ratings of at least one of at least one historical act, and with it is each
The arrival rate of the corresponding browsing resource of total audience ratings.
In the step, obtain at least one of at least one historical act of the browsing resource total audience ratings, and
Obtain the arrival rate for browsing resource corresponding with each total audience ratings.
Wherein, the historical act of the browsing resource is a data statistics period of the browsing resource,
In this historical act (i.e. data statistics period), total audience ratings is only included, total audience ratings is only right
Answer the arrival rate.
Wherein, total audience ratings is one of the measurement unit of media conveying capacity, within certain period all dispensing class
The sum total or arrival rate of audience ratings are multiplied by mean exposure rate, also referred to as Gross Ratting points.The arrival rate is reflection browsing gain media
The important indicator of availability, it is used to measure over a period to come, and target audience has much ratios to can be appreciated that, read or listen in the middle
To the browsing resource information propagated.
Step 102, based at least one described total audience ratings and the arrival corresponding with each total audience ratings
Rate determines that at least one that resource is browsed described in the assessment scatter plot and the assessment scatter plot of the browsing resource is commented
Estimate a little and the number of at least one evaluation point.
In the step, based on step 101 get described at least one total audience ratings and with each total rating
The corresponding arrival rate of rate, determines the assessment scatter plot of the browsing resource, and determines the institute in the assessment scatter plot
State the evaluation point of browsing resource and the number of the evaluation point.
Specifically, using at least one described total audience ratings as the abscissa of x-axis, with at least one described total audience ratings pair
At least one arrival rate answered is the ordinate of y-axis, the assessment scatter plot of the browsing resource is determined, for example, for the first time
Total audience ratings that resource is browsed described in historical act is 100, and arrival rate 0.6 is with 0.6 then being just abscissa with 100
Ordinate, determines the evaluation point of the browsing resource, and determines the number of the evaluation point in assessment scatter plot.
Step 103, by the number of the evaluation point and it is preset it is described browsing resource evaluation point number threshold value comparison.
In the step, the number of the evaluation point of the browsing resource will be determined from the assessment scatter plot, and it is preparatory
The evaluation point number threshold value for the browsing resource being arranged is compared.
If step 104, the number of the evaluation point be less than the evaluation point number threshold value, respectively to it is described at least one comment
The quantity estimated a little is expanded, and determines the multiple expansion evaluation points assessed in scatter plot after expansion.
In the step, by being compared with preset evaluation point number threshold value, if the number of the evaluation point is less than institute
Evaluation point number threshold value is stated, then needs respectively to expand the quantity of at least one evaluation point, determines the browsing money
Multiple expansion evaluation points in the assessment scatter plot after the expansion of source.
Step 105 is based on the multiple expansion evaluation point, draws the assessment curve of the browsing resource.
In the step, expand in the quantity at least one evaluation point, determines in the assessment scatter plot
Multiple expansion evaluation points after, the multiple expansion evaluation point is fitted, the assessment for drawing out the browsing resource is bent
Line.
In this way, it is possible to the assessment curve of browsing resource is drawn out according to the expansion evaluation point expanded out, so as to
Enough is analyzed and estimated by dispensing effect of the assessment curve to the browsing resource.
Further, in the evaluation point number threshold value of the number by the evaluation point and the preset browsing resource
After comparing, the expansion approximating method further include: if the number of the evaluation point is greater than or equal to the evaluation point number threshold
Value, is fitted at least one described evaluation point, draws the assessment curve of the browsing resource.
In the step, the number of the evaluation point of the browsing resource will be determined from the assessment scatter plot, and it is preparatory
After the evaluation point number threshold value for the browsing resource being arranged is compared, if the number of the evaluation point is greater than or waits
In the evaluation point number threshold value, then do not need to expand the quantity of at least one evaluation point, but will be existing
At least one described evaluation point is fitted, and obtains the assessment curve of the browsing resource, then according to the browsing money drawn out
The assessment curve in source is analyzed and is estimated to the dispensing effect of the browsing resource.
Further, step 104 further include: be directed to each total audience ratings, determine history corresponding with the total audience ratings
Multiple statistical time points in activity and the corresponding evaluation point of the total audience ratings；According to the multiple statistical time point when
Between sequence, determine the audience ratings of the browsing resource in each statistical time point, and each audience ratings is determined as described clear
It lookes at the expansion audience ratings of resource, total audience ratings is determined as to the expansion audience ratings of cut-off；Based on multiple expansion ratings
Rate calculates expansion arrival rate corresponding with each expansion audience ratings；Based on multiple expansion audience ratings and with it is each
The corresponding expansion arrival rate of the expansion audience ratings determines multiple expansions after the evaluation point expands in the assessment scatter plot
Fill evaluation point.
In the step, by comparing, if the number of the evaluation point is less than the evaluation point number threshold value, it is directed to institute
State the total audience ratings of each of browsing resource, determining multiple statistical times with historical act corresponding to total audience ratings
Point and the corresponding evaluation point of the total audience ratings；And it according to the time sequencing of the multiple statistical time point, determines described clear
Look at resource since initial release time point to each statistical time point when, in each statistical time point, obtain institute
State browsing resource corresponding audience ratings, and by each statistical time point audience ratings be determined as it is described browsing resource expansion
Audience ratings is filled, and total audience ratings is determined as to the expansion audience ratings of cut-off；Based on obtained multiple expansion audience ratings,
Expansion arrival rate corresponding with each expansion audience ratings is calculated；Based on the obtained expansion audience ratings and expansion
Arrival rate determines the multiple expansion evaluation points obtained after expanding in the assessment scatter plot the evaluation point.
Corresponding to above-described embodiment, when the number of the evaluation point of browsing resource is less than the evaluation point number threshold value,
For the total audience ratings of each of the browsing resource, when determining multiple statistics in historical act corresponding to total audience ratings
Between point, such as it is described browsing resource a historical act cycle of activity be one month, then we can by this
Month cycle of activity divided according to " week ", that is, statistical time point is " first week ", " second week ", " third all " and
" 4th week ", since the initial release time point of the browsing resource, i.e., first day of the described browsing resource dispensing, until first
Week terminates, and counts the audience ratings that resource is browsed described in this week of dispensing, by receipts of the browsing resource in first week
It is determined as first expansion audience ratings depending on rate；Since the initial release time point of the browsing resource, i.e., the described browsing resource
First day launched counts the audience ratings that resource is browsed described in " the last fortnight " of dispensing until second week terminates, will be described clear
Audience ratings of the resource in " the last fortnight " of looking at is determined as second expansion audience ratings；And so on, count " first three in dispensing
Audience ratings of the browsing resource in " first three weeks " is determined as third and expanded by the audience ratings that resource is browsed described in week "
Audience ratings；When statistical time point is to " 4th week ", since " 4th week " is last week, the expansion audience ratings of 4th week
For the expansion audience ratings of cut-off, i.e., total audience ratings of the described browsing resource in this historical act thus just can be by this
Total audience ratings corresponding to secondary historical act is extended for 4 expansion audience ratings.
Wherein, the audience ratings of cut-off is the last one multiple described expanded in audience ratings.
Wherein, after expanding respectively the quantity of at least one evaluation point, an expansion audience ratings finally may be used
At least one sub- expansion arrival rate corresponding thereto can be calculated, at this time by corresponding to each expansion audience ratings at least one
Son expands arrival rate and takes mean value, obtains expansion arrival rate corresponding with the expansion audience ratings.
The expansion approximating method of browsing stock assessment point provided by the embodiments of the present application obtains browsing resource at least one
The total audience ratings of at least one of historical act, and the arrival of the browsing resource corresponding with each total audience ratings
Rate；Based at least one described total audience ratings and the arrival rate corresponding with each total audience ratings, determine described clear
Look at resource assessment scatter plot and it is described assessment scatter plot described in browsing resource at least one evaluation point and it is described at least
The number of one evaluation point；By the evaluation point number threshold value comparison of the number of the evaluation point and the preset browsing resource；
If the number of the evaluation point is less than the evaluation point number threshold value, the quantity of at least one evaluation point is expanded respectively
It fills, and determines the multiple expansion evaluation points assessed in scatter plot after expansion；Based on the multiple expansion evaluation point, institute is drawn
State the assessment curve of browsing resource.
In this way, the application browses the total audience ratings of at least one of at least one historical act of resource by acquisition, really
The arrival rate of the fixed browsing resource corresponding with each total audience ratings, be based on described at least one total audience ratings and with
The corresponding arrival rate of each total audience ratings, determines the assessment scatter plot of the browsing resource, and determine in figure
The browsing resource evaluation point and the evaluation point number, by by the number of evaluation point and the preset browsing
The evaluation point number threshold value of resource is compared, it is determined whether the quantity of the evaluation point to the browsing resource is needed to expand
It fills, is expanded if necessary, based on the expansion audience ratings after expansion and expand arrival rate, determine commenting for the browsing resource
Estimate scatter plot, and the evaluation point in figure is fitted, obtains the assessment curve of the browsing resource, so that fit
The accuracy rate for assessing curve is higher, helps to improve analysis and estimates the accuracy of the dispensing effect of the browsing resource.
Referring to Fig. 2, Fig. 2 is the stream of the expansion approximating method for the browsing stock assessment point that another embodiment of the application provides
Cheng Tu.As shown in Figure 2, the expansion approximating method of browsing stock assessment point provided by the embodiments of the present application, comprising:
Step 201, obtain browsing resource in the total audience ratings of at least one of at least one historical act, and with it is each
The arrival rate of the corresponding browsing resource of total audience ratings.
Step 202, based at least one described total audience ratings and the arrival corresponding with each total audience ratings
Rate determines that at least one that resource is browsed described in the assessment scatter plot and the assessment scatter plot of the browsing resource is commented
Estimate a little and the number of at least one evaluation point.
Step 203, by the number of the evaluation point and it is preset it is described browsing resource evaluation point number threshold value comparison.
Step 204 is directed to each total audience ratings, obtains the corresponding evaluation point of the total audience ratings, and default expands step-length.
In the step, by comparing, if the number of the evaluation point is less than the evaluation point number threshold value, for acquisition
Total audience ratings each of is arrived, it is required pre- when obtaining the corresponding evaluation point of the total audience ratings, and expanding the evaluation point
If expanding step-length.
Step 205 is that initial expansion audience ratings and each expansion audience ratings carry out down with the default expansion step-length
The incremental value once expanded take total audience ratings as the expansion audience ratings of cut-off, obtains multiple expansion audience ratings.
In the step, with the default expansion step-length that is got in step 204 for initial expansion audience ratings, and simultaneously
Using the default expansion incremental value expanded step-length is expanded as each expansion audience ratings next time when, and to get
Total audience ratings of the browsing resource is the expansion audience ratings of cut-off, the browsing resource after expanding and obtaining multiple expansions
Expansion audience ratings.
Corresponding to above-described embodiment, total audience ratings before being expanded is 100, it is desirable to expand it, obtain default
Default expansion step-length be 5, then just with " 5 " be initial expansion audience ratings, with " 100 " be end expansion audience ratings, into
And according to initial expansion audience ratings and expansion step-length is preset, multiple expansion audience ratings after capable of obtaining finally obtain
Expansion audience ratings be multiple expansion audience ratings such as " 5,10,15,20 ... 100 ".
Wherein, the audience ratings of cut-off is the last one multiple described expanded in audience ratings.
Step 206 is based on multiple expansion audience ratings, calculates expansion arrival corresponding with each expansion audience ratings
Rate.
In the step, based on multiple expansion audience ratings that step 205 obtains, it is calculated and is received with each expansion
The corresponding expansion arrival rate depending on rate.
Wherein, after expanding respectively the quantity of at least one evaluation point, an expansion audience ratings finally may be used
At least one sub- expansion arrival rate corresponding thereto can be calculated, at this time by corresponding to each expansion audience ratings at least one
Son expands arrival rate and takes mean value, obtains expansion arrival rate corresponding with the expansion audience ratings.
Corresponding to above-described embodiment, total audience ratings of the browsing resource in first time historical act is 100；Second
Total audience ratings in secondary historical act is 50；The first time history obtained after being expanded by way of step 205 it is living
Dynamic expansion audience ratings is multiple expansion audience ratings such as " 5,10,15,20 ... 100 "；The expansion of second of the historical act obtained
Audience ratings is multiple expansion audience ratings such as " 5,10,15,20 ... 50 ", then being calculated when the expansion audience ratings is " 5 "
Expansion arrival rate there are two, one be it is calculated (if being 0.6) according to the expansion audience ratings of first time historical act, separately
One is calculated (if being 0.4) according to the expansion audience ratings of second of historical act, then finally expanding audience ratings and being
Corresponding expansion arrival rate is " 0.5 " (0.6 and 0.4 mean value) when " 5 ".
Wherein, by mode (such as shadow in browsing resource is launched described in each historical act region or propagation
Sound, sound etc.) etc. difference, cause calculate arrival rate when parameter (i.e. network spreads to target number etc.) can change, because
Different arrival rate can be calculated in this identical audience ratings.
Step 207, based on multiple expansion audience ratings and the expansion corresponding with each expansion audience ratings
Arrival rate obtains multiple expansion evaluation points after the evaluation point expands in the assessment scatter plot.
In the step, the expansion audience ratings and expansion arrival rate obtained based on step 205 and step 206, really
It is scheduled on multiple expansion evaluation points of the evaluation point obtained after being expanded in the assessment scatter plot the evaluation point.
Step 208 is based on the multiple expansion evaluation point, draws the assessment curve of the browsing resource.
Wherein, the description of step 201 to step 203 and step 208 is referred to the description of step 101 to step 104,
And identical technical effect can be reached, this is not repeated them here.
Further, step 206 further include: be directed to each total audience ratings, obtain the browsing resource in total audience ratings
Network in corresponding historical act spreads to target number；For multiple expansion audience ratings of total audience ratings, calculate with
The corresponding multiple target group's accumulated exposure numbers of multiple expansion audience ratings；It obtains accumulative with multiple target groups
The corresponding multiple target groups of exposure frequency add up independent access person number；Add up independent access based on multiple target groups
Person's number and the network spread to target number, calculate multiple expansion arrival rate of total audience ratings.
In the step, the network for obtaining the browsing resource described in corresponding historical act spreads to target number, based on true
The multiple expansion audience ratings made calculate the corresponding multiple target groups of multiple expansion audience ratings by formula (1)
Accumulated exposure number；And according to multiple target group's accumulated exposure numbers, obtain and multiple targets in the database
The corresponding multiple target groups of crowd's accumulated exposure number add up independent access person number；It is accumulative based on multiple target groups
Independent access person number and the network spread to target number and calculate the multiple of total audience ratings by formula (2) and extend to
Up to rate.
Wherein, iGRP is the expansion arrival rate of the browsing resource；(n+) iReach is that the browsing resource is pushed away in network
And seen in target group n times or more than expansion arrival rate, (n+) target group add up independent access person number indicate institute
State browsing resource network spread to seen in target group n times or more than target group add up independent access person number.
Wherein, after expanding respectively the quantity of at least one evaluation point, an expansion audience ratings finally may be used
At least one sub- expansion arrival rate corresponding thereto can be calculated, at this time by corresponding to each expansion audience ratings at least one
Son expands arrival rate and takes mean value, obtains expansion arrival rate corresponding with the expansion audience ratings.
The expansion approximating method of browsing stock assessment point provided by the embodiments of the present application obtains browsing resource at least one
The total audience ratings of at least one of historical act, and the arrival of the browsing resource corresponding with each total audience ratings
Rate；Based at least one described total audience ratings and the arrival rate corresponding with each total audience ratings, determine described clear
Look at resource assessment scatter plot and it is described assessment scatter plot described in browsing resource at least one evaluation point and it is described at least
The number of one evaluation point；By the evaluation point number threshold value comparison of the number of the evaluation point and the preset browsing resource；
For each total audience ratings, the corresponding evaluation point of the total audience ratings is obtained, and default expands step-length；It is walked with the default expansion
A length of initial expansion audience ratings and each incremental value for expanding audience ratings and being expanded next time, are to cut with total audience ratings
Expansion audience ratings only obtains multiple expansion audience ratings；Based on multiple expansion audience ratings, calculate and each expansion
Fill the corresponding expansion arrival rate of audience ratings；Based on multiple expansion audience ratings and corresponding with each expansion audience ratings
The expansion arrival rate obtains multiple expansion evaluation points after the evaluation point expands in the assessment scatter plot；Based on described more
A expansion evaluation point draws the assessment curve of the browsing resource.
In such manner, it is possible to be determined by the total audience ratings of at least one of at least one historical act of acquisition browsing resource
The arrival rate of the browsing resource corresponding with each total audience ratings, based at least one described total audience ratings and with it is every
The corresponding arrival rate of a total audience ratings, determines the assessment scatter plot of the browsing resource, and determine in figure
The evaluation point of the browsing resource and the number of the evaluation point, when the number of the evaluation point is less than the preset assessment
When point number threshold value, the quantity respectively at least one evaluation point is expanded by preset default expansion step-length,
Based on the expansion audience ratings after expansion and expand arrival rate, determines the assessment scatter plot of the browsing resource, and in figure
Evaluation point is fitted, and obtains the assessment curve of the browsing resource, so that the accuracy rate of the assessment curve fitted is more
Height helps to improve analysis and estimates the accuracy of the dispensing effect of the browsing resource.
Fig. 3, Fig. 4 are please referred to, Fig. 3 is a kind of expansion fitting dress for browsing stock assessment point provided by the embodiment of the present application
One of structural schematic diagram set, Fig. 4 are a kind of expansion fitting device for browsing stock assessment point provided by the embodiment of the present application
Second structural representation.As shown in Figure 3, the expansion fitting device 300 includes:
Module 310 is obtained, for obtaining browsing resource in the total audience ratings of at least one of at least one historical act, with
And the arrival rate of the browsing resource corresponding with each total audience ratings.
Determining module 320, for based on it is described acquisition module obtain at least one total audience ratings and with it is each described
The corresponding arrival rate of total audience ratings determines institute in the assessment scatter plot and the assessment scatter plot of the browsing resource
State at least one evaluation point of browsing resource and the number of at least one evaluation point.
Comparison module 330, the number and the preset browsing resource of the evaluation point for determining the determining module
Evaluation point number threshold value comparison.
Enlargement module 340, if for the evaluation point number be less than the evaluation point number threshold value, respectively to it is described extremely
The quantity of a few evaluation point is expanded, and determines the multiple expansion evaluation points assessed in scatter plot after expansion.
First drafting module 350, more than 340 for being expanded based on the enlargement module are expanded evaluation points, described in drafting
Browse the assessment curve of resource.
Further, as shown in figure 4, the expansion is fitted device 300 further include:
Second drafting module 360, it is right if the number for the evaluation point is greater than or equal to the evaluation point number threshold value
At least one described evaluation point is fitted, and draws the assessment curve of the browsing resource.
Further, the enlargement module 340 includes:
Acquiring unit obtains the corresponding evaluation point of the total audience ratings for being directed to each total audience ratings, and default expands
Step-length.
First expansion unit, default expansion step-length for being obtained with the acquiring unit be initial expansion audience ratings with
And each incremental value for expanding audience ratings and being expanded next time, take total audience ratings as the expansion audience ratings of cut-off, obtains more
A expansion audience ratings.
First computing unit, multiple expansion audience ratings for being expanded based on first expansion unit, calculate with
The corresponding expansion arrival rate of each expansion audience ratings.
First determination unit, expansion audience ratings for being expanded based on multiple first expansion units and with each institute
It states and expands the corresponding calculated expansion arrival rate of first computing unit of audience ratings, determine that this in the assessment scatter plot is commented
Multiple expansion evaluation points after estimating an expansion.
Further, the enlargement module 340 further include:
Second determination unit determines in historical act corresponding with the total audience ratings for being directed to each total audience ratings
Multiple statistical time points and the corresponding evaluation point of the total audience ratings.
Third determination unit, the time sequencing of multiple statistical time points for being determined according to second determination unit,
It determines audience ratings of the browsing resource in each statistical time point, and each audience ratings is determined as the browsing resource
Expand audience ratings, total audience ratings is determined as to the expansion audience ratings of cut-off.
Second computing unit, for based on the third determination unit determine multiple expansion audience ratings, calculate with
The corresponding expansion arrival rate of each expansion audience ratings.
4th determination unit, for based on the third determination unit determine multiple expansion audience ratings and with each institute
It states and expands the corresponding calculated expansion arrival rate of second computing unit of audience ratings, determine that this in the assessment scatter plot is commented
Multiple expansion evaluation points after estimating an expansion.
Further, first computing unit or second computing unit are specifically used for:
For each total audience ratings, obtains network of the browsing resource in the corresponding historical act of the total audience ratings and push away
And target number；
For multiple expansion audience ratings of total audience ratings, calculate corresponding more with multiple expansion audience ratings
A target group's accumulated exposure number；
Obtain the accumulative independent access person people of multiple target groups corresponding with multiple target group's accumulated exposure numbers
Number；
Add up independent access person number based on multiple target groups and the network spreads to target number, calculating should
Multiple expansion arrival rate of total audience ratings.
The expansion of browsing stock assessment point provided by the embodiments of the present application is fitted device, obtains browsing resource at least one
The total audience ratings of at least one of historical act, and the arrival of the browsing resource corresponding with each total audience ratings
Rate；Based at least one described total audience ratings and the arrival rate corresponding with each total audience ratings, determine described clear
Look at resource assessment scatter plot and it is described assessment scatter plot described in browsing resource at least one evaluation point and it is described at least
The number of one evaluation point；By the evaluation point number threshold value comparison of the number of the evaluation point and the preset browsing resource；
If the number of the evaluation point is less than the evaluation point number threshold value, the quantity of at least one evaluation point is expanded respectively
It fills, and determines the multiple expansion evaluation points assessed in scatter plot after expansion；Based on the multiple expansion evaluation point, institute is drawn
State the assessment curve of browsing resource.
In this way, the application browses the total audience ratings of at least one of at least one historical act of resource by acquisition, really
The arrival rate of the fixed browsing resource corresponding with each total audience ratings, be based on described at least one total audience ratings and with
The corresponding arrival rate of each total audience ratings, determines the assessment scatter plot of the browsing resource, and determine in figure
The browsing resource evaluation point and the evaluation point number, by by the number of evaluation point and the preset browsing
The evaluation point number threshold value of resource is compared, it is determined whether the quantity of the evaluation point to the browsing resource is needed to expand
It fills, is expanded if necessary, based on the expansion audience ratings after expansion and expand arrival rate, determine commenting for the browsing resource
Estimate scatter plot, and the evaluation point in figure is fitted, obtains the assessment curve of the browsing resource, so that fit
The accuracy rate for assessing curve is higher, helps to improve analysis and estimates the accuracy of the dispensing effect of the browsing resource.
Referring to Fig. 5, Fig. 5 is the structural schematic diagram of a kind of electronic equipment provided by the embodiment of the present application.Such as institute in Fig. 5
Show, the electronic equipment 500 includes processor 510, memory 520 and bus 530.
The memory 520 is stored with the executable machine readable instructions of the processor 510, when electronic equipment 500 is transported
When row, communicated between the processor 510 and the memory 520 by bus 530, the machine readable instructions are by the place
When managing the execution of device 510, the expansion of the browsing stock assessment point in the embodiment of the method as shown in above-mentioned Fig. 1 and Fig. 2 can be executed
The step of approximating method, specific implementation can be found in embodiment of the method, and details are not described herein.
The embodiment of the present application also provides a kind of computer readable storage medium, stores on the computer readable storage medium
There is computer program, the implementation of the method as shown in above-mentioned Fig. 1 and Fig. 2 can be executed when the computer program is run by processor
The step of expansion approximating method of browsing stock assessment point in example, specific implementation can be found in embodiment of the method, herein not
It repeats again.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, it can be with
It realizes by another way.The apparatus embodiments described above are merely exemplary, for example, the division of the unit,
Only a kind of logical function partition, there may be another division manner in actual implementation, in another example, multiple units or components can
To combine or be desirably integrated into another system, or some features can be ignored or not executed.Another point, it is shown or beg for
The mutual coupling, direct-coupling or communication connection of opinion can be through some communication interfaces, device or unit it is indirect
Coupling or communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in the executable non-volatile computer-readable storage medium of a processor.Based on this understanding, the application
Technical solution substantially the part of the part that contributes to existing technology or the technical solution can be with software in other words
The form of product embodies, which is stored in a storage medium, including some instructions use so that
One computer equipment (can be personal computer, server or the network equipment etc.) executes each embodiment institute of the application
State all or part of the steps of method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (Read-Only
Memory, ROM), random access memory (Random Access Memory, RAM), magnetic or disk etc. is various to deposit
Store up the medium of program code.
Finally, it should be noted that embodiment described above, the only specific embodiment of the application, to illustrate the application
Technical solution, rather than its limitations, the protection scope of the application is not limited thereto, although with reference to the foregoing embodiments to this Shen
It please be described in detail, those skilled in the art should understand that: anyone skilled in the art
Within the technical scope of the present application, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of the embodiment of the present application technical solution, should all cover the protection in the application
Within the scope of.Therefore, the protection scope of the application should be subject to the protection scope in claims.
Claims (10)
1. a kind of expansion approximating method for browsing stock assessment point, which is characterized in that the expansion approximating method includes:
Obtain browsing resource in the total audience ratings of at least one of at least one historical act, and with each total audience ratings
The arrival rate of the corresponding browsing resource；
Based at least one described total audience ratings and the arrival rate corresponding with each total audience ratings, determine described clear
Look at resource assessment scatter plot and it is described assessment scatter plot described in browsing resource at least one evaluation point and it is described at least
The number of one evaluation point；
By the evaluation point number threshold value comparison of the number of the evaluation point and the preset browsing resource；
If the number of the evaluation point be less than the evaluation point number threshold value, respectively to the quantity of at least one evaluation point into
Row expands, and determines the multiple expansion evaluation points assessed in scatter plot after expansion；
Based on the multiple expansion evaluation point, the assessment curve of the browsing resource is drawn.
2. expansion approximating method according to claim 1, which is characterized in that in the number by the evaluation point and in advance
If the browsing resource evaluation point number threshold value comparison after, the expansion approximating method further include:
If the number of the evaluation point is greater than or equal to the evaluation point number threshold value, at least one described evaluation point is intended
It closes, draws the assessment curve of the browsing resource.
3. expansion approximating method according to claim 1, which is characterized in that if the number of the evaluation point is less than institute
Evaluation point number threshold value is stated, the quantity of at least one evaluation point is expanded respectively, and determines the assessment after expansion
Multiple expansion evaluation points in scatter plot, comprising:
For each total audience ratings, the corresponding evaluation point of the total audience ratings is obtained, and default expands step-length；
It is initial expansion audience ratings and each increasing expanding audience ratings and being expanded next time with the default step-length that expands
Magnitude take total audience ratings as the expansion audience ratings of cut-off, obtains multiple expansion audience ratings；
Based on multiple expansion audience ratings, expansion arrival rate corresponding with each expansion audience ratings is calculated；
Based on multiple expansion audience ratings and the expansion arrival rate corresponding with each expansion audience ratings, institute is determined
Multiple expansion evaluation points in scatter plot after evaluation point expansion are estimated in commentary.
4. expansion approximating method according to claim 1, which is characterized in that if the number of the evaluation point is less than institute
Evaluation point number threshold value is stated, the quantity of at least one evaluation point is expanded respectively, and determines the assessment after expansion
Multiple expansion evaluation points in scatter plot, comprising:
For each total audience ratings, multiple statistical time points in historical act corresponding with the total audience ratings are determined, and
The corresponding evaluation point of the total audience ratings；
According to the time sequencing of the multiple statistical time point, rating of the browsing resource in each statistical time point is determined
Rate, and each audience ratings is determined as the expansion audience ratings for browsing resource, total audience ratings is determined as to the expansion of cut-off
Fill audience ratings；
Based on multiple expansion audience ratings, expansion arrival rate corresponding with each expansion audience ratings is calculated；
Based on multiple expansion audience ratings and the expansion arrival rate corresponding with each expansion audience ratings, institute is determined
Multiple expansion evaluation points in scatter plot after evaluation point expansion are estimated in commentary.
5. expansion approximating method according to claim 3 or 4, which is characterized in that described to be based on multiple expansion ratings
Rate calculates expansion arrival rate corresponding with each expansion audience ratings, comprising:
For each total audience ratings, obtains network of the browsing resource in the corresponding historical act of the total audience ratings and spread to mesh
Mark number；
For multiple expansion audience ratings of total audience ratings, multiple mesh corresponding with multiple expansion audience ratings are calculated
Mark crowd's accumulated exposure number；
Obtain the accumulative independent access person number of multiple target groups corresponding with multiple target group's accumulated exposure numbers；
Add up independent access person number based on multiple target groups and the network spreads to target number, calculates total receipts
Depending on multiple expansion arrival rate of rate.
6. a kind of expansion for browsing stock assessment point is fitted device, which is characterized in that the expansion is fitted device and includes:
Obtain module, for obtain browsing resource in the total audience ratings of at least one of at least one historical act, and with it is every
The arrival rate of the corresponding browsing resource of a total audience ratings；
Determining module, for based on it is described acquisition module obtain at least one total audience ratings and with each total audience ratings
The corresponding arrival rate browses money described in the assessment scatter plot and the assessment scatter plot for determining the browsing resource
At least one evaluation point in source and the number of at least one evaluation point；
Comparison module, the evaluation point of the number of the evaluation point for determining the determining module and the preset browsing resource
Number threshold value comparison；
Enlargement module, if for the evaluation point number be less than the evaluation point number threshold value, respectively to it is described at least one
The quantity of evaluation point is expanded, and determines the multiple expansion evaluation points assessed in scatter plot after expansion；
First drafting module, multiple expansion evaluation points for being expanded based on the enlargement module draw the browsing resource
Assess curve.
7. expansion according to claim 6 is fitted device, which is characterized in that the expansion is fitted device further include:
Second drafting module, if for the evaluation point number be greater than or equal to the evaluation point number threshold value, to it is described extremely
A few evaluation point is fitted, and draws the assessment curve of the browsing resource.
8. expansion according to claim 6 is fitted device, which is characterized in that the enlargement module includes:
Acquiring unit obtains the corresponding evaluation point of the total audience ratings for being directed to each total audience ratings, and default expands step
It is long；
First expansion unit, default expansion step-length for being obtained with the acquiring unit are initial expansion audience ratings and every
A incremental value for expanding audience ratings and being expanded next time, take total audience ratings as the expansion audience ratings of cut-off, obtains multiple institutes
State expansion audience ratings；
First computing unit, multiple expansion audience ratings for being expanded based on first expansion unit are calculated and each
The corresponding expansion arrival rate of the expansion audience ratings；
First determination unit, expansion audience ratings for being expanded based on multiple first expansion units and with each expansion
The corresponding calculated expansion arrival rate of first computing unit of audience ratings is filled, determines the evaluation point in the assessment scatter plot
Multiple expansion evaluation points after expansion.
9. a kind of electronic equipment characterized by comprising processor, memory and bus, the memory are stored with the place
The executable machine readable instructions of device are managed, when electronic equipment operation, by described between the processor and the memory
Bus communication executes the browsing as described in any in claim 1 to 5 when the machine readable instructions are executed by the processor
The step of expansion approximating method of stock assessment point.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program executes the browsing stock assessment point as described in any in claim 1 to 5 when the computer program is run by processor
Expansion approximating method the step of.
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