CN108694174A

CN108694174A - Content launches the analysis method and device of data

Info

Publication number: CN108694174A
Application number: CN201710218077.XA
Authority: CN
Inventors: 石瑞超; 黄浩; 邹正勇; 李学凯; 冯喆; 陈禺伶; 苏麒匀
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2017-04-05
Filing date: 2017-04-05
Publication date: 2018-10-23
Anticipated expiration: 2037-04-05
Also published as: CN108694174B

Abstract

This application discloses the analysis methods that a kind of content launches data, including:The data of first page are provided to show to client;The dispensing index and contents attribute dimension to be analyzed that the client end response configures the operation of control described in the first page in user is received from the client;It obtains the corresponding history of each item of information under the contents attribute dimension to be analyzed and launches data;Data are launched according to the corresponding history of each item of information, determine that the at the appointed time described dispensing to be analyzed refers to target value;Refer to target value according to each corresponding history dispensing data of item of information and the dispensing to be analyzed, determines disturbance degree of each item of information to the disturbance degree for launching index or to the dispensing index variation.The disturbance degree of each item of information is provided to the client, so that the client shows the disturbance degree of each item of information in the first page or in second page.The application also proposed corresponding device.

Description

Content launches the analysis method and device of data

Technical field

The present invention relates to analysis methods and device that Internet technical field more particularly to a kind of content launch data.

Background technology

With the development of Internet technology, more and more media contents (including:Text, picture, audio, video etc.) Various users can be pushed to by internet.Such as:User can receive when browsing webpage using terminal devices such as mobile phone, PC The various media contents pushed to network side, such as:Advertisement, public good advertisement information, news of picture or video format etc..This Sample, news, interested content etc. when user can be known in time.This kind of media content is referred to alternatively as in pushed information or push Hold etc..

Invention content

Present application example provides a kind of analysis method of content dispensing data, including:

The data of first page are provided to client, so that the client shows the first page, the first page Displaying is useful for configuring the control of dispensing index and contents attribute dimension to be analyzed in face;

Operation of the client end response in user for control described in the first page is received from the client And the dispensing index and contents attribute dimension to be analyzed configured;

It obtains the corresponding history of each item of information under the contents attribute dimension to be analyzed and launches data,

Data are launched according to the corresponding history of each item of information, determine that the at the appointed time described dispensing to be analyzed refers to Target value;

Refer to target value according to each corresponding history dispensing data of item of information and the dispensing to be analyzed, determines each Disturbance degree of the item of information to the disturbance degree for launching index or to the dispensing index variation.

The disturbance degree of each item of information is provided to the client, so that the client is in the first page Or the disturbance degree of each item of information is shown in second page.

Present application example additionally provides a kind of analytical equipment of content dispensing data, including:

Transmission unit, the data for providing first page to client, so that the client shows the first page Face, in the first page displaying be useful for configuring the control of dispensing index and contents attribute dimension to be analyzed;

Receiving unit, for receiving the client end response in user in the first page from the client The operation of the control and the dispensing index and contents attribute dimension to be analyzed configured;

Disturbance degree determination unit, is used for:

Disturbance degree transmission unit, the disturbance degree for providing each item of information to the client, so that the client End shows the disturbance degree of each item of information in the first page or in second page.

Using said program provided by the present application, it can accomplish the automation of problem investigation, save manpower and time.

Description of the drawings

In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will to embodiment or Attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only Some embodiments of the present invention, for those of ordinary skill in the art, without having to pay creative labor, Other drawings may also be obtained based on these drawings.

Fig. 1 is the system architecture figure that present application example is related to;

Fig. 2 is the flow chart for the analysis method that one example content of the application launches data;

Fig. 3 is one example advertisement Impact analysis page figure of the application;

Fig. 4 is one example advertisement unusual fluctuation of the application analysis page figure;

Fig. 5 is one example advertisement shadow trend analysis page figure of the application;

Fig. 6 is the structural schematic diagram for the analytical equipment that one example content of the application launches data;And

Fig. 7 is the computing device composed structure schematic diagram in present application example.

Specific implementation mode

Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation describes, it is clear that described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this Embodiment in invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.

Present applicant proposes a kind of analysis method method that content launches data, this method can be applied to system shown in FIG. 1 In system framework.As shown in Figure 1, the system architecture includes:Using (APP) client 101, backstage manager's client 103, Release platform 102 and medium content server 105 using (APP) client 101, backstage manager's client 103, are launched Platform 102 and medium content server 105 are communicated by internet 104.

Terminal user can use 101 access media content server 105 of applications client, such as:It browses webpage, see See online article or viewing Online Video etc..When user uses 101 access media content server 105 of applications client, Applications client 101 can send out content to release platform 102 and launch request, and release platform 102 can will be launched with the content Ask match media content (such as:Picture, video etc.) it is pushed to applications client 101.The data of release platform 102 It includes the provider for the media content launched, dispensing time that record, which has the daily record data that content is launched, the daily record data, in library Number, the time launched every time, the target user of dispensing, whether the media content of dispensing is by user's click etc..When in the dispensing Hold be advertisement when, daily record data include advertiser, the type of merchandise, advertisement ID, advertisement position, CPM (Cost Per Mille, Cost Per Mille, advertisement are often delivered to the average unit cost that 1,000 people are spent), download rate, consumption (advertisement is in setting time model Enclose interior clicking cost), exposure, the data such as clicking rate.User using applications client 101 (such as:It is microblogging, wechat, QQ, new Hear client, browser etc.) browsing pages content, the content that release platform 102 is launched to applications client 101 can be:Depending on Frequently, article, news and advertisement etc..

Backstage manager accesses the server that data analysis service is provided in release platform 102 by client 103, The server of the offer data analysis service can obtain the daily record data of the dispensing in 102 database of release platform, from then Platform administrative staff are analyzed and are managed to the index for launching content by accessing the server, according to the daily record data of dispensing.

In some instances, the problem of various dispensing content effect fluctuations can be encountered in launch process, these problems are past It is big toward the data volume being related to, and dimension is more, it is larger to analyze difficulty, it usually needs the daily record of more manpower combination various dimensions Data are analyzed.

Based on above-mentioned technical problem, the application proposes that a kind of content launches the analysis method of data, and this method can be used for throwing It is laid flat platform 102, specifically, can be applied to the server in release platform 102 for providing data analysis service.Such as Fig. 2 institutes Show, this approach includes the following steps:

Step 201:The data of first page are provided to client, so that the client shows the first page, institute Displaying in first page is stated to be useful for configuring the control of dispensing index and contents attribute dimension to be analyzed.

Release platform 102 provides first page data to client 101, and client is made to show first page data.The visitor Family end 101 can be browser client.In some instances, when user (such as backstage manager) passes through browser clients End logs in the content that release platform 102 provides when launching data analysis website, and the server of the website is (i.e. in release platform 102 There is provided data analysis service server) to browser client send first page data so that show on a web browser First page.The first page can be the Impact analysis page, that is, analyze the dispensing content index a time point, It can be that the page is analyzed in unusual fluctuation, that is, analyze the variation in the dispensing content index at two time points, can also be trend analysis page The variation of content index is launched in face in analysis a period of time.The Impact analysis page, the unusual fluctuation analysis page and trend analysis The page has different network address, and user selects the corresponding analysis page by logging in different network address, while page is analyzed at one It can also show that the link of other analysis pages, such user can be logged in easily on the current analysis page on face To other analysis pages.

Displaying has the control of dispensing index to be analyzed and the control of contents attribute dimension in the first page, to be analyzed The control of dispensing index be used to allow user to select to launch the index to be analyzed of content, the control of contents attribute dimension is for allowing User selects to launch the attribute dimensions of content.For example, being for advertisement for launching content, index to be analyzed includes:CPM (Cost Per Mille, Cost Per Mille, advertisement are often delivered to the average unit cost that 1,000 people are spent), download rate, consumption, The contents attribute dimension of exposure, clicking rate etc., advertisement includes:Advertisement ID, advertiser, advertisement position, the type of merchandise, commodity ID etc..

Step 202:The client end response is received in user for being controlled described in the first page from the client The operation of part and the dispensing index and contents attribute dimension to be analyzed configured.

User operates dispensing index control to be analyzed and contents attribute dimension control in first page, visitor Family end obtains the index to be analyzed and contents attribute dimension for launching content, and send it to dispensing in response to the operation of user The server of data analysis service is provided in platform 102.Such as be for advertisement for launching content, Fig. 3 show advertisement Impact analysis page figure, displaying, which has, in the page figure analyzes dimension control 301 and analysis indexes control 302.Analyze dimension Control 301 can be an input frame, user's input content attribute dimensions, control 301 or a drop-down list, use It can also be an Assembly Listing that family selects contents attribute dimension, control 301 in drop-down list.Analysis indexes control 302 can To be an input frame, user inputs the index to be analyzed of advertisement, can also be a drop-down list, and user arranges in drop-down The index to be analyzed of an advertisement is selected in table, control 302 can also be an Assembly Listing.User inputs waiting for for advertisement After analysis indexes (CPM) and contents attribute dimension (type of merchandise), browser where Impact analysis page waits for described point Analysis index (CPM) and the analysis dimension (type of merchandise) are sent to the service that data analysis service is provided in release platform 102 Device.Fig. 4 is that page figure is analyzed in the unusual fluctuation of advertisement, and displaying, which has, in the page figure analyzes dimension control 401 and analysis indexes control 402, user inputs the contents attribute dimension of advertisement in the input frame of analysis dimension control 401:Advertisement ID, or analyzing Contents attribute dimension is selected in the drop-down list of dimension control 401:Advertisement ID, input of the user in analysis indexes control 402 The index to be analyzed of advertisement is inputted in frame:Download rate, or select advertisement in the drop-down list of analysis indexes control 402 Index to be analyzed:Download rate.Control 401 and control 402 can also be a combo box.Fig. 5 is the trend analysis of advertisement Page figure, displaying, which has, in the page figure analyzes dimension control 501 and analysis indexes control 502, and user is in analysis dimension control The contents attribute dimension of advertisement is inputted in 501 input frame:Advertiser, or in the drop-down list of analysis dimension control 501 Select contents attribute dimension:Advertiser, user input the finger to be analyzed of advertisement in the input frame of analysis indexes control 502 Mark:CPM, or in the drop-down list of analysis indexes control 502 select advertisement index to be analyzed:CPM.Control 501 And control 502 can also be a combo box.

Step 203:It obtains the corresponding history of each item of information under the contents attribute dimension to be analyzed and launches data.

The server of data analysis service is provided in release platform 102 according to the contents attribute from client of reception Dimension obtains item of information different under the contents attribute dimension, while obtaining the corresponding history of different items of information and launching number According to, for example, when it is advertisement to launch content, when the contents attribute dimension of advertisement is advertiser, under ad content attribute dimensions Each item of information be different advertisers, the corresponding history of each item of information is launched the advertisement that data are each advertiser and is gone through in dispensing The data such as CPM, download rate, consumption, exposure, clicking rate during history.

Step 204:Data are launched according to the corresponding history of each item of information, determination is at the appointed time described to be analyzed Dispensing refer to target value.

The server that data analysis service is provided in release platform 102 launches data according to the corresponding history of each item of information, Determine the integral value that index is launched described in the specified time.Such as it is for advertisement, when to be analyzed for launching content It is when consuming to launch index, and when contents attribute dimension is advertiser, each item of information under contents attribute dimension corresponds to each advertisement Main, the history of each advertiser launches data and includes:CPM of the advertisement of each advertiser in launching historical process, download rate, disappear The data such as consumption, exposure, clicking rate.The consumption data in data is launched according to the history of the specified time each advertiser, is determined The integral value of consumption, the integral value for such as consuming the adduction of the consumption figures of each advertiser as dispensing index to be analyzed.

Step 205:Data and the dispensing index to be analyzed are launched according to the corresponding history of each item of information Value determines disturbance degree of each item of information to the disturbance degree for launching index or to the dispensing index variation.

When the specified time is single time point, it may be determined that each item of information is to the influence for launching index Degree, when the specified time is two time points or is for a period of time, it may be determined that each item of information becomes the dispensing index The disturbance degree of change.When the index to be analyzed of advertisement is CPM, when doing Impact analysis to advertisement, according to above-mentioned each advertisement The data such as CPM, consumption, exposure of main advertisement determine disturbance degree of each advertiser to whole CPM.When doing the similarities and differences to advertisement When analysis or when trend analysis, data are launched according to the history of the advertisement of above-mentioned each advertiser and determine each advertiser to whole CPM In the variation at two time points or the disturbance degree of the variation of a period of time.

The content of the embodiment of the present application launches the analysis method of data, is the contents attribute dimension for a dispensing content For degree, different items of information goes to analyze under the contents attribute dimension, finds maximum to Index Influence or changes to index Influence maximum item of information.Item of information is option different under contents attribute dimension, such as the letter under age content attribute dimensions Breath item has 1-100 Sui, and the item of information under gender contents attribute dimension has men and women, the item of information under advertisement position contents attribute dimension There are advertisement position id1, advertisement position id2 etc., wherein advertisement position to refer to specific display location of the advertisement when launching.For each item of information The disturbance degree, indicated in this application with importance (imp), disturbance degree is bigger, illustrates corresponding item of information pair The variation of global index or global index influences bigger.For example, advertisement is 10,000 yuan in the consumption of the mobile domestic site in odd-numbered day, It goes to analyze from advertisement position contents attribute dimension, can find is which advertisement position contributes to larger consumption, or from year Age dimension goes to analyze, it can be seen that is that the people of that age bracket contributes to larger consumption.The embodiment of the present application is determining each letter When ceasing the disturbance degree of item, only the different items of information under more same contents attribute dimension to launch index disturbance degree or To launching the influence of index variation, intersection comparison is not carried out to the item of information under different content attribute dimensions.

Step 206:The disturbance degree of each item of information is provided to the client, so that the client is described The disturbance degree of each item of information is shown in one page or in second page.

The server that data analysis service is provided in release platform 102 is determined in upper step described in each item of information After disturbance degree, the disturbance degree of each item of information is sent to client and is shown.Shadow is being done to dispensing index to be analyzed When loudness is analyzed, show that each item of information refers to dispensing to be analyzed on the Impact analysis page or on a new page Target disturbance degree facilitates some index of customer analysis to exist in the Crack cause of some particular point in time, such as an advertisement position The Crack cause that the CPM on December 10th, 2016 is 35 yuan.When doing unusual fluctuation analysis to advertisement, unusual fluctuation analysis the page on or The disturbance degree that each item of information changes dispensing index to be analyzed two time points is shown on one new page of person, it is convenient Some index of customer analysis is the reason of changing at two time points, for example the CPM of advertisement position yesterday is 30 yuan, the day before yesterday CPM is 40 yuan, and analysis yesterday declined 10 yuan of reason than the day before yesterday.When doing trend analysis to dispensing index to be analyzed, Show that each item of information treats the shadow that analysis indexes change whithin a period of time on the trend analysis page or on a new page Loudness, the reason of facilitating some index of customer analysis to change whithin a period of time.For example, analyzing some index in a period of time The reason of interior continued jitters, such as the CPM of an advertisement position are dropping always from last month to this moon, analyze at this section The reason of CPM of the interior advertisement position continues to fall.

The analysis method that data are launched using content provided by the embodiments of the present application, is received input by user to be analyzed Dispensing index and contents attribute dimension, item of information different under the contents attribute dimension can be calculated automatically to the dispensing The disturbance degree of index or to it is described dispensing index variation disturbance degree, to facilitate customer analysis launch index Crack cause or The reason of launching index variation, accomplishes the automation of problem investigation, saves manpower and time.

In some instances, further displaying is useful for configuring time control to be analyzed in the first page;

The method further includes:The client end response is received in user for described first from the client The operation of control described in the page and the time to be analyzed configured;Wherein, when the time to be analyzed is described specified Between.

The time control to be analyzed is used for allowing user to input the time to be analyzed, which is upper step 601 In specified time.When treating analysis indexes and doing Impact analysis, then the time to be analyzed is a time point, when treating point For analysis index when doing unusual fluctuation analysis, then the time to be analyzed is two time points, when treating analysis indexes and doing trend analysis, is then waited for Analysis time is a period.The time control to be analyzed can be an input frame, and user inputs in input frame and waits for Analysis time can also be a drop-down list, and user selects the time to be analyzed from drop-down list, can also be both to have included Input frame also includes the combo box of drop-down list.Such as it is Impact analysis in figure 3 for advertisement for launching content In the page, time control 303 to be analyzed is to allow user to input or select a time point, and the page is analyzed in unusual fluctuation in Fig. 4 In, time control 403 to be analyzed is to allow user's input or two time points of selection, in the trend analysis page in Figure 5, Time control 503 to be analyzed is that user is allowed to input or select a period.

In some instances, wherein the specified time includes time point.Being done on dispensing index to be analyzed influences It is interior to calculate this for a contents attribute dimension for launching index for some of dispensing content for degree analysis, Impact analysis Hold each item of information under attribute dimensions at the time point to the disturbance degree for launching index.Such as the CPM of some advertisement position It it is 35 yuan, when contents attribute dimension is the type of merchandise, analysis is mainly the advertisement pair of which type of merchandise on this advertisement position The whole CPM values contribution of this advertisement position is bigger.

When doing Impact analysis to dispensing index to be analyzed, mainly include the following steps that:

Step S101:It is described when obtaining the corresponding history of each item of information and launching data:Obtain the time point upper each information The corresponding history of item launches data.

Example as shown in Figure 3, contents attribute dimension input by user be the type of merchandise, time point 20170315, then The server that data analysis service is provided in release platform 102 obtains the dispensing data of the time point upper each type of merchandise.

Step S102:When the determining dispensing refers to target value:According to the time point, above the corresponding history of each item of information is thrown Data are put, the time point upper dispensing is calculated and refers to target value.

Described in example also as above, according to the time point of acquisition, the dispensing data acquisition of upper each type of merchandise launches index Value, that is, whole values of the CPM on above-mentioned time point is obtained, by consumption of each type of merchandise on time point 20170315 Adduction obtain total consumption value, sum it up exposure of each type of merchandise on time point 20170315 to obtain overall exposing, by Total consumption and overall exposing are determined as the whole value of the time point upper CPM.In some instances, CPM by index consumption, Exposure is constituted, i.e. CPM=consumption/exposure, thus can take the entirety of the whole value and exposure that are consumed on the time point Value refers to target value as the dispensing.The adduction of the value of consumption that can be by each type of merchandise on time point 20170315 It is determined as the whole value consumed on the time point, exposure that can be by each type of merchandise on time point 20170315 takes The adduction of value is determined as the whole value exposed on the time point.

Step S103:According to the time point, above the corresponding history of each item of information launches data, determines on the time point Index value of each item of information for the dispensing index contribution.

Also as shown in figure 3, dispensing index to be analyzed is CPM, contents attribute dimension is the type of merchandise, each type of merchandise It includes CPM in each type of merchandise advertisement release process, consumption, exposure, download rate, clicking rate that corresponding history, which launches data, Etc. data.Then each type of merchandise is to the CPM values that the index value that whole CPM is contributed is each type of merchandise, and the CPM is in each commodity class The history of type is launched to be obtained in data.In some instances, it is made of consumption indicators and exposure index due to CPM, thus each quotient The index value of category type contribution can be the consumption figures and exposure value of each type of merchandise, the equally history from each type of merchandise It launches and is obtained in data.

Step S104:When each item of information of determination is to the disturbance degree for launching index:It is upper each according to the time point Item of information refers to target value for the index value of the dispensing index contribution and the time point upper dispensing, determines each information Item is to the disturbance degree for launching index.

Described in example also as above, according to consumption figures, exposure value of the advertisement of each type of merchandise on time point 20170315, The integral value of the integral value, exposure that are consumed on time point 20170315 determines that each type of merchandise is to whole on time point 20170315 The disturbance degree of body CPM.

According to the calculation of the disturbance degree of each item of information, the dispensing index that is analysed to be divided into single index and Composite index.Single index refers to the index that can only be done and polymerize, and composite index includes more than two single indexs, by single index It is polymerized.Such as advertisement, it is single index that the index of advertisement, which is such as consumed, exposed, etc., and the CPM=of advertisement disappears Consumption/exposure is composite index.

In some instances, when the dispensing index is single index, each item of information of determination refers to the dispensing Target disturbance degree includes:Each item of information is referred into target value for the index value of the dispensing index contribution with the dispensing Ratio as each item of information to it is described launch index disturbance degree.

When dispensing index to be analyzed is single index, i-th of item of information is to the dispensing index under contents attribute dimension Disturbance degree calculated by following formula (1)

imp_i=index_i/index (1)

Wherein index represents the dispensing and refers to target value, index_iI-th of item of information is represented to refer to the dispensing The index value of contribution is marked, such as advertisement index CPM, index is the CPM values of entirety, index_iCan be some quotient The CPM values of the advertisement of category type can sum it up the consumption of each type of merchandise when calculating entirety CPM values, obtain whole disappear Consumption, the exposure adduction of each type of merchandise, obtains overall exposing, whole CPM is obtained by total consumption and overall exposing.

For example, index is the total consumption of certain current advertisement position, analysis dimension is the type of merchandise, then index_iIt is wide to refer to this Accuse how much certain specific type of merchandise on position consumes.The consumption figures of certain type of merchandise and the ratio of total consumption value are got over Greatly, then the more money of the type of merchandise relative consumption, its influence to total consumption is with regard to bigger.

In some instances, when the dispensing index includes single index A and single index B, each item of information tribute The index value offered includes the index value that each item of information respectively contributes single index A and single index B;The dispensing refers to Target value includes the value of single index A and the value of single index B;

The disturbance degree of each item of information is determined by following formula (2):

Wherein, imp_iIt is disturbance degree of i-th of the item of information in the contents attribute dimension to dispensing index, index is throwing Finger target value is put,A is the value of single index A, and B is the value of single index B, index_iFor i-th of item of information tribute The index value offered,A_iFor the index value that i-th of item of information contributes index A, B_iFor i-th of item of information pair The index value of index B contributions.

Example also as shown in Figure 3, dispensing index to be analyzed are CPM, and contents attribute dimension is the type of merchandise, each quotient The corresponding history of category type launch data include CPM in each type of merchandise advertisement release process, consumption, exposure, download rate, The data such as clicking rate.Wherein, A is the whole value consumed on time point 20170315, and B is on time point 20170315 The whole value of exposure can obtain the whole value of CPM on time point 20170315, i.e. index according to A and B.A_iIt is i-th The consumption figures of a type of merchandise, B_iFor the exposure value of i-th of type of merchandise, according to A_iAnd B_iIt can obtain i-th of type of merchandise tribute The CPM values index offered_i.To which disturbance degree of each type of merchandise to whole CPM can be obtained according to formula (2).

In formula (2), when calculating disturbance degree of each item of information to launching index, in addition to considering on the time point Launch the index value index for referring to target value index and i-th of item of information to launching index contribution_i, also consider dispensing emphatically The single index B that index includes, because the big item of information of the index value of index B is to launching the disturbance degree bigger of index, such as For meeting index:Download rate=download number/hits.Here hits are exactly the B in formula.Consider hits be because For for the prodigious advertisement of hits, even if download rate can integrally download rate impacts to ad system if fluctuate very little; Advertisement for hits very little, though download rate fluctuation very it is big may if can not shake whole download rate.

In the page figure of the Impact analysis of advertisement shown in Fig. 3, inquiry user is defeated in analysis indexes control 302 Enter or select CPM, inputted in analyzing dimension control 401 or select the type of merchandise, inputs or select in date control 403 Time point 20170315, while advertisement position is inputted or selected in filtering option control 304:Feeds gold position, that is, analyze The advertisement of which kind of type of merchandise on Feeds gold position contributes maximum to the CPM on the Feeds gold position, and wherein CMP=disappears Consumption/exposure, is composite index, and disturbance degree is calculated using above-mentioned formula (2).Obtained Impact analysis result is shown such as 1 institute of table Show:

Table 1

Wherein the first column is the type of merchandise, i.e. the advertisement of the different type of merchandises on Feeds gold position, the second column is not The corresponding consumption figures with the advertisement of the type of merchandise, third column are the corresponding exposure value of advertisement of the different type of merchandises, and the 4th column is The corresponding CPM values of advertisement of the different type of merchandises, the 5th column are the advertisement for the different type of merchandises being calculated to Feeds Huangs The influence value of whole CPM on carat (measure of the purity of gold), the influence value are ranked up by sequence from big to small, and influence value is bigger, corresponding quotient Category type is bigger to the influence value of CPM.

In some instances, the specified time includes:First time point and the second time point, i.e., to throwing to be analyzed It puts index and does unusual fluctuation analysis.Unusual fluctuation analysis is used for analyzing the cause of fluctuation for launching index in two different time points, such as one The cpm of advertisement position yesterday is 40 yuan, and the cpm of the day before yesterday is 30 yuan, and analysis yesterday declined 10 yuan of reason than the day before yesterday.It is treating point When the dispensing index of analysis does unusual fluctuation analysis, mainly include the following steps that

Step S201:It is described when obtaining the corresponding history of each item of information and launching data:It obtains each in the first time point The corresponding history of item of information launches data and second time point, and above the corresponding history of each item of information launches data.

In the example shown in fig. 4, the time point of input is two time points:20161128 and 20161110, content category Property dimension be advertisement ID, the server that data analysis service is provided in release platform 102 obtains the advertisement that each advertisement ID is represented and exists The history at time point 20161128 launches data, and in the history dispensing data at time point 20161110, which launches number According to including:Download the data such as number, hits, consumption, exposure, clicking rate.

Step S202:When the determining dispensing refers to target value:It is gone through according to each item of information is corresponding in the first time point History launches data, determines the value that index is launched in the first time point, is corresponded to according to second time point upper each item of information History launch data, determine on second time point launch index value;

Described in example also as above, it is download rate to inquire analysis indexes input by user, wherein.Download rate=download number/click Number, the history according to each advertisement ID at time point 20161128 launch download number and the whole download of hits calculating in data The value of number and hits at time point 20161128 such as makees each advertisement ID in the adduction of the download number at time point 20161128 Whole for time point 20161128 downloads number, the adductions of the hits using each advertisement ID at time point 20161128 as when Between point 20161128 whole hits, whole by time point 20161128 download number and whole hits determine the time Whole download rate on point.The corresponding whole download rate that can be obtained on time point 20161110, the whole number, whole downloaded Body hits and whole download rate.In some instances, it includes at the first time that the dispensing in the first time point, which refers to target value, Whole download number on point and whole hits, it includes on the second time point that the dispensing on second time point, which refers to target value, Whole download number and whole hits.

Step S203:Data are launched according to the corresponding history of each item of information in the first time point, determine described first First index value of each item of information for the dispensing index contribution on time point;According to second time point upper each information The corresponding history of item launches data, determines second time point upper each item of information for the second of the dispensing index contribution Index value;

Shown in example also as above, the advertisement represented according to certain advertisement ID is in the history dispensing data at time point 20161128 Download number and hits calculate the second index value that advertisement ID contributes whole download rate at time point 20161128, should Second index value includes download numbers and hits of the advertisement ID on the time point, while according to the advertisement in the time Download number and hits in the history dispensing data of point 20161110 calculate advertisement ID at time point 20161110 to entirety First index value of download rate contribution, which includes download numbers and click of the advertisement ID on the time point Number.

Step S204:When the disturbance degree that each item of information of determination changes the dispensing index:According to each information It is first index value of contribution, second index value of each item of information contribution, described in the first time point Dispensing refers to target value and the second time point upper dispensing refers to target value, determines each item of information to the dispensing index The disturbance degree of variation.

Shown in example also as above, download number, hits according to each advertisement ID at time point 20161128,20161110, with And the whole of time point 20161128,20161110 downloads number and hits, calculates each advertisement ID to whole download rate in the time The disturbance degree of the variation of point 20161128,20161110.In this example embodiment, download rate=download number/hits are compound finger Mark, calculation of the composite index in unusual fluctuation analysis are described in detail below

In some instances, when the dispensing index includes single index A and single index B, each item of information exists First index value contributed in the first time point includes the index A that each item of information is contributed in first time point The first index value of one index value and index B;Second index value that each item of information is contributed on second time point The second index value of the second index values of index A and index B contributed on second time point including each item of information;Described It includes the value of single index A and the value of single index B in first time point that the value of index is launched on one time point, and described second The value that index is launched on time point includes the value of the second time point upper single index A and the value of single index B, passes through following public affairs Formula (3) determines disturbance degree of each item of information to the dispensing index variation:

Wherein, imp_iFor the disturbance degree of i-th of item of information in the contents attribute dimension, index is described first The value of index is launched on time point,A is the value of single index A in first time point, and B is in first time point The value of single index B,A ' is values of the single index A on the second time point, and B ' is single index B Value on the second time point, index_iFirst index contributed in the first time point for i-th of item of information Value,A_iFor the first index values of index A that i-th of item of information is contributed in the first time point, B_iIt is The first index values of index B that i item of information is contributed in the first time point, index_i' it is i-th item of information described the Second index value contributed on two time pointsA_iThe tribute on second time point of ' i-th item of information The second index values of index A offered, B_i' the second index values of index B contributed on second time point for i-th of item of information.

Example also as shown in Figure 4, in formula (3), wherein A is the whole download number on time point 20161110, B For the whole hits on time point 20161110, the whole download rate on time point 20161110 can be obtained by A, B index.A ' is the whole download number on time point 20161128, and B ' is the whole hits on time point 20161128, by A ', B ' can obtain the whole download rate on time point 20161128.A_iFor i-th advertisement ID on time point 20161110 Download number, B_iFor the hits of i-th of advertisement ID on time point 20161110, by A_i,B_iIt can obtain time point I-th of advertisement ID download rates index on 20161110_i。A_i' download the number for being i-th of advertisement ID on time point 20161128, B_i' the hits for being i-th of advertisement ID on time point 20161128, by A_i′,B_i' can obtain on time point 20161128 The download rate of i advertisement ID.To which each advertisement ID can be obtained to whole download rate at time point according to formula (3) The disturbance degree changed between 20161110 to time point 20161128.

In formula (3), when calculating disturbance degree of each item of information to launching index, in addition to considering on the time point Launch the index value index for referring to target value index and i-th of item of information to launching index contribution_i, also consider dispensing emphatically The single index B that index includes, because the big item of information of the index value of index B is to launching the disturbance degree bigger of index, such as For meeting index:Download rate=download number/hits.Here hits are exactly the B in formula.Consider hits be because For for the prodigious advertisement of hits, even if download rate can integrally download rate impacts to ad system if fluctuate very little; Advertisement for hits very little, though download rate fluctuation very it is big may if can not shake whole download rate.

The unusual fluctuation analysis examples of advertisement as shown in Figure 4, inquiry user input or select in analysis indexes control 402 Download rate inputs in analyzing dimension control 401 or selects advertisement id, and two times are inputted or selected in time control 403 Point, 20161110 and 20161128, while website and promotion item ID are inputted in filter controls 404, that is, it analyzes on the website Which advertisement is the whole download rate of the advertisement of the commodity it is bigger on the variation of whole download rate influence to analyze.Unusual fluctuation analysis knot Shown in fruit table 2 presented below:

Table 2

Wherein the first column is advertisement id, and the second column is the disturbance degree of each advertisement id for being calculated to whole download rate, The disturbance degree is ranked up from high to low, and disturbance degree is bigger, influence of the corresponding advertisement of corresponding advertisement ID to whole download rate It is bigger.Third column weight represents advertisement id and corresponds to after disturbance degree normalized as a result, change type value refers to advertisement id corresponds to Advertisement change type, including it is normal, stop throwing, newly into three kinds.Hits accounting represents an advertisement id respectively to be analyzed The ratio of time point corresponding hits and whole hits, Δ hits accounting represent above-mentioned ratio when first is to be analyzed Between the value put and the difference between the value at the second time point to be analyzed, download rate represent an advertisement id in the time to be analyzed To the ratio of corresponding download and whole download, Δ download rate represent above-mentioned ratio the first time point to be analyzed value With the difference between the value at the second time point to be analyzed.

In some instances, when doing unusual fluctuation analysis to dispensing index to be analyzed, when dispensing index to be analyzed is single When one index, when calculating disturbance degree of i-th of the item of information under contents attribute dimension to launching index variation, i-th of letter Breath item calculates the disturbance degree of the variation of the index by following formula (4)

imp_i=Δ index_i/Δindex (4)

Wherein, Δ index=index '-index, Δ index_i=index_i′-index_i, index is first time point Place, which is launched, refers to target value, and index ' is to launch to refer to target value, index at the second time point_iIt is the of the contribution of i-th item of information One index value, index ' are the second index value of i-th of item of information contribution.

In some instances, the specified time includes:Period.Trend analysis is done to dispensing index to be analyzed. Trend analysis be used for analyzing some index whithin a period of time continued jitters the reason of, such as an advertisement position CPM from last Month to dropping always this moon, the reason of CPM of the during this period of time advertisement position continues to fall is analyzed.To be analyzed Dispensing index when doing trend analysis, mainly include the following steps that:

Step S301:It is described when obtaining the corresponding history of each item of information and launching data:Obtain each information in the period The corresponding history of item launches data.

In the trend analysis example of advertisement shown in Fig. 5, dispensing index to be analyzed is CPM, and contents attribute dimension is Advertiser, period 20170308-20170310 analyze the advertisement of that advertiser this time Nei to whole CPM It is bigger in the disturbance degree of the variation of this time.Each item of information corresponds to each advertiser, obtains each advertiser in the period Advertisement history launch data, the history launch data include multiple time points in the above-mentioned period, in some instances, Multiple time points in the period using day as interval, in above-mentioned period 20170308-20170310, then exist 20170308, the history at 20170309 and 20,170,310 3 time points launches data, obtains each time point and corresponding goes through History launches data, and history launches data mainly the download number of the advertisement including each advertiser, hits, consumption, exposure, click The data such as rate.

Step S302:When the determining dispensing refers to target value:It is thrown according to the corresponding history of each item of information in the period Data are put, determine that dispensing refers to target value in the period.

Shown in examples also as above, data are launched according to the history of each advertiser's advertisement and determine that dispensing to be analyzed refers to target value, Dispensing index to be analyzed is CPM, CPM=consumption/exposure, according to the period:Each advertiser in 20170308-20170310 Advertisement the consumption at multiple time points, exposure data determine the integral value of the consumption in the period on multiple time points with And exposure integral value, such as by the adduction of the consumption figures of upper each advertiser of each time point, consumption figures, each time point are upper each as a whole The adduction of the exposure value of advertiser exposure value as a whole, while according to the total consumption value and overall exposing on each time point Value can determine the whole CPM values on each time point.It includes above-mentioned each time point that dispensing in the period, which refers to target value, On total consumption value and overall exposing value.

Step S303:Each item of information of determination to it is described dispensing index variation disturbance degree include:According to the time Each corresponding history dispensing data of item of information and the period interior launch refer to target value in section, determine each item of information to described Launch the disturbance degree that index changes within the period.Shown in example also as above, according to the period of acquisition:20170308- The consumption figures, exposure value of the advertisement of upper each advertiser of each time point and each time point is upper whole in the period in 20170310 Body consumption figures and overall exposing value determine the shadow that each advertiser changes entirety CPM in the 20170308-20170310 periods Loudness.

In some instances, content provided by the present application launches the analysis method of data, to dispensing index to be analyzed When doing trend analysis, further comprise the steps:

Step S1:Determine the first time point in the period and the second time point.

In this application, when doing trend analysis to dispensing index to be analyzed, calculation and the unusual fluctuation of disturbance degree are analyzed It is identical, that is, the disturbance degree for the variation that index is launched on two time points of each item of information pair is calculated, the difference is that for trend analysis For, the first index value, the second index value of the dispensing index of each item of information contribution, Yi Jisuo on described two time points The value for stating dispensing index on two time points is obtained by linear fit.It thus needs to determine two within the above-mentioned period A time point is as time point to be analyzed.Also the trend analysis example of the advertisement as shown in Fig. 5, period input by user are: 20170308-20170310 determines first time point in the period and the second time point as time point to be analyzed. In some examples, that is, the time point at the period both ends as first time point and the second time point can will 20170308 are used as first time point, are used as the second time point by 20170310.It, can also be at this in other examples Between other times are chosen in section as first time point and the second time point.

Step S2:Data are launched according to the corresponding history of each item of information in the period to determine in the period respectively Index value of the item of information for the dispensing index contribution;

For any one item of information, the history launch data include in the period multiple time points and each History corresponding with the item of information launches data on time point.Shown in example also as above, according on multiple time points in the period The history of advertisement of each advertiser launch data and determine the advertisement consumption data and exposure data of each advertiser because waiting for point The dispensing index CPM of analysis is constituted by consuming and exposing, thus when each advertiser is each in period 20170308-20170310 Between point on consumption figures and exposure value constitute the index value contributed whole CPM.

Step S3:The index value of each item of information contribution in the period is subjected to linear fit, according to what is obtained Fitting a straight line determines each item of information in the first time point for the first index value of the dispensing index contribution and described the Second index value of the two time points upper each item of information for the dispensing index contribution;

Shown in example also as above, for any one advertiser, by the advertiser in period 20170308-20170310 Consumption data carry out linear fit, obtain fitting a straight line, the consumption figures and the of first time point read in the fitting a straight line Consumption figures on two time points.Simultaneously by exposure data of the advertiser in period 20170308-20170310 into line Property fitting, obtain fitting a straight line, in the fitting a straight line read first time point exposure value and the exposure on the second time point Value.Consumption figures and exposure value in first time point constitute the first index value that the advertiser contributes whole CPM, when second Between point on consumption figures and exposure value constitute the second index value that the advertiser contributes whole CPM.

Step S4:It will be launched in the period and refer to target value progress linear fit, determined according to obtained fitting a straight line The value of index is launched in the first time point and the value of index is launched on second time point;

Shown in example also as above, dispensing index to be analyzed is CPM, and CPM is a composite index, is consumed by single index And the exposure of single index is constituted, launched in the period refer to target value include the whole value consumed in the period and The whole value of exposure.The integral value consumed on each time point in this time is done into linear fit, obtains fitting a straight line, The consumption integral value in first time point and the consumption integral value on the second time point are read in obtained fitting a straight line.Together When the integral value exposed on each time point in this time done into linear fit, fitting a straight line is obtained, in obtained fitting a straight line Exposure integral value in upper reading first time point and the exposure integral value on the second time point.In the first time point It includes the consumption integral value and exposure integral value in first time point that dispensing, which refers to target value, launches and refers on second time point Target value includes consumption integral value and exposure integral value on the second time point.

Step S5:Each item of information of determination includes to the disturbance degree that changes within the period of dispensing index: According to first index value of each item of information contribution, second index value of each item of information contribution, described the The value of index is launched on one time point and launches the value of index on second time point, determines each item of information to the throwing Put the disturbance degree that index changes within the period.

Shown in example also as above, the consumption figures and exposure value contributed in first time point according to each advertiser, second The consumption figures and exposure value contributed on time point, the consumption integral value in the first time point and exposure integral value, institute The consumption integral value and exposure integral value on the second time point are stated, determines each advertiser to whole CPM in the period The disturbance degree changed in 20170308-20170310.

In this application, when doing unusual fluctuation analysis and trend analysis to dispensing index to be analyzed, each item of information it is described The calculation of disturbance degree is identical, is all the disturbance degree for calculating each item of information and changing two time points to launching index, different Be first index value of each item of information contribution, the second index value, described the during disturbance degree in trend analysis calculates The value launched the value of index on one time point and launch index on second time point is obtained by linear fit. Dispensing index to be analyzed is divided into two types according to the calculation of disturbance degree:Single index and composite index, it is single One index refers to the index only done and polymerize, such as advertisement index consumption, exposure etc.;Composite index includes two or more lists One index, such as CPM=consumption/exposure.

In some instances, when the dispensing index is single index, the disturbance degree of each item of information of determination Include the following steps:

Step S1:Obtain first index value that each item of information is contributed in the first time point with described the The first difference between second index value contributed on two time points;

Step S2:Obtain the value that index is launched in the first time point and dispensing index on second time point The second difference between value;

Step S3:Using the ratio of first difference and second difference as the disturbance degree of each item of information.

When calculating disturbance degree of i-th of the item of information under contents attribute dimension to launching index variation, when the index is single When one index, i-th of item of information calculates the disturbance degree of the variation of the index by formula (4)

imp_i=Δ index_i/Δindex (4)

In some instances, when the dispensing index includes single index A and single index B, each item of information exists First index value contributed in the first time point includes the index A that each item of information is contributed in first time point The first index value of one index value and index B;Second index value that each item of information is contributed on second time point The second index value of the second index values of index A and index B contributed on second time point including each item of information;Described It includes the value of single index A and the value of single index B in first time point that the value of index is launched on one time point, and described second The value that index is launched on time point includes the value of the second time point upper single index A and the value of single index B, is passed through formula (3) Determine disturbance degree of each item of information to the dispensing index variation:

Wherein, imp_iFor the disturbance degree of i-th of item of information in the contents attribute dimension, index is described first The value of index is launched on time point,A is the value of single index A in first time point, and B is in first time point The value of single index B,A ' is values of the single index A on the second time point, and B ' is single index B Value on the second time point, index_iFirst index contributed in the first time point for i-th of item of information Value,A_iFor the first index values of index A that i-th of item of information is contributed in the first time point, B_iIt is The first index values of index B that i item of information is contributed in the first time point, index_i' it is i-th item of information described the Second index value contributed on two time points,A_i' i-th item of information is on second time point The second index values of index A of contribution, B_i' the second indexs of index B contributed on second time point for i-th of item of information Value.

Example also as shown in Figure 5, in formula (3), wherein A is the total consumption on time point 20170308, and B is Overall exposing on time point 20170308 can be obtained the whole CPM on time point 20170308 by A, B:index.A ' is Total consumption on time point 20170310, B ' is the overall exposing on time point 20170310, when can be obtained by A ', B ' Between point 20170310 on whole CPM.A_iFor the consumption of i-th of advertiser on time point 20170308, B_iFor time point The exposure of i-th of advertiser on 20170308, by A_i,B_iIt can obtain on time point 20,170,308 i-th advertiser's CPM:index_i。A_i' for the consumption of i-th of advertiser on time point 20170310, B_i' it is i-th on time point 20170310 The exposure of advertiser, by A_i′,B_i' CPM of i-th of advertiser on time point 20170310 can be obtained.To according to formula (3) influence that each advertiser changes whole CPM between time point 20170308 to time point 20170310 can be obtained Degree.

The trend analysis example of advertisement also as shown in Figure 5, inquiry user input or select in analysis indexes control 502 CPM is selected, inputted in analyzing dimension control 501 or selects advertiser, a period is inputted or selected in time control 503, 20170308-20170310, while advertisement position is inputted or selected in filter controls 504:Feeds gold position, i.e. analysis should be somebody's turn to do Which advertiser whole CPM on advertisement position it is bigger on the variation of whole CPM influence to analyze.Unusual fluctuation analysis result is shown such as Shown in the following table 3:

Table 3

Wherein the first column is advertiser, and the second column is the disturbance degree of each advertiser for being calculated to whole CPM, should Disturbance degree is ranked up from high to low, and disturbance degree is bigger, and influence of the corresponding advertiser to whole CPM is bigger.Third column weight It represents advertiser and corresponds to the result after disturbance degree normalized.Change type value refers to the variation class of the corresponding advertisements of advertisement id Type, including it is normal, stop throwing, newly into three kinds.Impression accounting represents an advertiser in time point to be analyzed corresponding impression With the ratio of overall exposing number, wherein the impression and overall exposing number be by linear fit obtain as a result, Δ impression Accounting represents value of the above-mentioned ratio at the first time point to be analyzed and the difference between the value at the second time point to be analyzed.CPM The ratio of CPM and entirety CPM that an advertiser contributed at time point to be analyzed are represented, wherein each advertiser's contribution CPM and entirety CPM be by linear fit obtain as a result, Δ CPM represent above-mentioned ratio the first time point to be analyzed value With the difference between the value at the second time point to be analyzed, trend list is that CPM variation of the advertiser within the period becomes Gesture.

In some instances, wherein displaying is useful for the control of configurating filtered option in the first page;The side Method further comprises the steps:

Step S1:The client end response is received in user for mistake described in the first page from the client The filter condition filtered the operation of option control and configured.

Filter controls are used to, when the history for obtaining each item of information launches data, launch data to the history and be filtered. In such as Impact analysis of advertisement shown in Fig. 3, user inputs or selects Feeds gold position in filter controls 304.

Step S2:It is described obtain the corresponding history of each item of information and launch data include:It is obtained according to the filter condition each The corresponding history of item of information launches data.

Shown in example as above, contents attribute dimension is the type of merchandise, then the history that each type of merchandise is obtained in user launches number According to when, the history for only obtaining each type of merchandise on Feeds gold position launches data.

In some instances, in above-mentioned steps 204, the institute that each item of information is provided to the client is being executed Disturbance degree is stated to include the following steps:

Step S1:Each disturbance degree is ranked up by sequence from big to small.

The server for providing data analysis service in release platform 102 presses the disturbance degree of determining each item of information It is ranked up according to sequence from big to small, obtains ranking results.

Step S2:The ranking results are supplied to the client, so that the client is according to the ranking results Show the corresponding disturbance degree of each item of information.

Determining ranking results are sent to client by the server that data analysis service is provided in release platform 102, are made The client shows the corresponding disturbance degree of each item of information according to the ranking results.Such as in table 1, each type of merchandise pair The influence value of whole CPM shows according to sequence from big to small, disturbance degrees of each advertisement ID to the variation of whole download rate in table 2 Sequence displaying from big to small, each advertiser sorts displaying to the disturbance degree of the variation of whole CPM from big to small in table 3.

In some instances, content provided by the present application launches the analysis method of data, further comprises:

To the client provide with the relevant parameter of disturbance degree of each item of information so that the client is described the The relevant parameter is shown in one page or in second page.

Client can also be shown and the relevant parameter of the disturbance degree when showing the disturbance degree of each item of information.Such as In table 1, when determining disturbance degree of each type of merchandise to whole CPM, need to use consumption, exposure and each type of merchandise CPM data, thus these data are shown together.In table 2, in the influence for determining that each advertisement ID changes whole download rate When spending, need to use the data such as calculating accounting, Δ hits accounting, download rate, thus by these data together with disturbance degree Displaying.In table 3, when determining the disturbance degree of the variation of each advertiser whithin a period of time to CPM, need to use impression The data such as accounting, Δ impression accounting, CPM, Δ CPM, thus these data are shown together with disturbance degree.It is also opened up in table 3 The variation tendency of each advertiser CPM within the period is shown.These data being presented along with disturbance degree can facilitate use It analyzes at family.

Present application example also provides a kind of analytical equipment 600 of content dispensing data, as shown in fig. 6, including

Transmission unit 601, the data for providing first page to client, so that client displaying described the One page, in the first page displaying be useful for configuring the control of dispensing index and contents attribute dimension to be analyzed;

Receiving unit 602, for receiving the client end response in user for the first page from the client Described in control operation and the dispensing index and contents attribute dimension to be analyzed that configures;

Disturbance degree determination unit 603, is used for:

Disturbance degree transmission unit 604, the disturbance degree for providing each item of information to the client, so that described Client shows the disturbance degree of each item of information in the first page or in second page.

In some instances, the specified time includes time point, and the disturbance degree determination unit 603 is used for:

Obtaining the time point, above the corresponding history of each item of information launches data;

According to the time point, above the corresponding history of each item of information launches data, calculates the time point upper dispensing Refer to target value;

According to the time point, above the corresponding history of each item of information launches data, determines the time point upper each item of information For the index value of the dispensing index contribution;

According to index value of the time point upper each item of information for the dispensing index contribution and institute on the time point It states dispensing and refers to target value, determine each item of information to the disturbance degree for launching index.

In some instances, the specified time includes:First time point and the second time point;The disturbance degree determines Unit 603, is used for:

Obtain each corresponding history dispensing data of item of information and second time point upper each letter in the first time point It ceases the corresponding history of item and launches data;

Data are launched according to the corresponding history of each item of information in the first time point, are determined in the first time point Dispensing refers to target value, and according to second time point, above the corresponding history of each item of information launches data, determines second time The value of index is launched on point;

Data are launched according to the corresponding history of each item of information in the first time point, are determined in the first time point First index value of each item of information for the dispensing index contribution;It is corresponding according to second time point upper each item of information History launches data, determines second index value of the second time point upper each item of information for the dispensing index contribution;

Each item of information of determination to it is described dispensing index variation disturbance degree include:It is contributed according to each item of information First index value, second index value of each item of information contribution, the dispensing refers in the first time point Target value and the second time point upper dispensing refer to target value, determine each item of information to the dispensing index variation Disturbance degree.

In some instances, the specified time includes:Period;The disturbance degree determination unit 603, is used for:

It obtains the corresponding history of each item of information in the period and launches data;

Data are launched according to the corresponding history of each item of information in the period, determines and launches index in the period Value;

Data are launched according to the corresponding history of each item of information in the period and index is launched in the period Value determines the disturbance degree that each item of information changes the dispensing index within the period.

In some instances, the disturbance degree determination unit 603, is additionally operable to:

Determine the first time point in the period and the second time point;

Data, which are launched, according to the corresponding history of each item of information in the period determines each item of information pair in the period In the index value of the dispensing index contribution;

The index value of each item of information contribution in the period is subjected to linear fit, it is true according to obtained fitting a straight line Each item of information is for the first index value of the dispensing index contribution and on second time point in the fixed first time point Second index value of each item of information for the dispensing index contribution;

It will be launched in the period and refer to target value and carry out linear fit, described the is determined according to obtained fitting a straight line The value of index is launched on one time point and the value of index is launched on second time point;

Each item of information of determination includes to the disturbance degree that changes within the period of dispensing index:According to institute State first index value of each item of information contribution, second index value of each item of information contribution, the first time The value of index is launched on point and launches the value of index on second time point, determines each item of information to the dispensing index The disturbance degree changed within the period.

Fig. 7 shows that content launches the composite structural diagram of the computing device where the analytical equipment 600 of data.Such as Fig. 7 institutes Show, which includes one or more processor (CPU) 702, communication module 704, memory 706, user interface 710, and the communication bus 708 for interconnecting these components.

Processor 702 can send and receive data to realize network communication and/or local communication by communication module 704.

User interface 710 includes one or more output equipments 712 comprising one or more speakers and/or one Or multiple visual displays.User interface 710 also includes one or more input equipments 714 comprising such as, keyboard, mouse Mark, voice command input unit or loudspeaker, touch screen displays, touch sensitive tablet, posture capture camera or other inputs are pressed Button or control etc..

Memory 706 can be high-speed random access memory, such as DRAM, SRAM, DDR RAM or other deposit at random Take solid storage device;Or nonvolatile memory, such as one or more disk storage equipments, optical disc memory apparatus, sudden strain of a muscle Deposit equipment or other non-volatile solid-state memory devices.

Memory 706 stores the executable instruction set of processor 702, including:

Operating system 716 includes the journey for handling various basic system services and for executing hardware dependent tasks Sequence;

Include the various application programs for the analysis that data are launched for content, this application program can be real using 718 Process flow in existing above-mentioned each example, for example may include that content some or all of is launched in the analytical equipments 600 of data Unit or module.At least one of each unit in the analytical equipment 600 of content dispensing data unit can store organic Device executable instruction.Processor 702 can perform by executing the machine in memory 706 in each unit at least one unit Instruction, and then can realize the function of at least one of above-mentioned each unit or module module.

It should be noted that step and module not all in above-mentioned each flow and each structure chart is all necessary, it can To ignore certain steps or module according to the actual needs.Each step execution sequence be not it is fixed, can as needed into Row adjustment.The division of each module is intended merely to facilitate the division functionally that description uses, in actual implementation, a module It can divide and be realized by multiple modules, the function of multiple modules can also be realized by the same module, these modules can be located at same In one equipment, it can also be located in different equipment.

Hardware module in each embodiment can in hardware or hardware platform adds the mode of software to realize.It is above-mentioned soft Part includes machine readable instructions, is stored in non-volatile memory medium.Therefore, each embodiment can also be presented as that software produces Product.

In each example, hardware can be by special hardware or the hardware realization of execution machine readable instructions.For example, hardware can Think the permanent circuit specially designed or logical device (such as application specific processor, such as FPGA or ASIC) for completing specifically to grasp Make.Hardware can also include programmable logic device or circuit by software provisional configuration (as included general processor or other Programmable processor) for executing specific operation.

In addition, each example of the application can pass through the data processing journey by data processing equipment such as computer execution Sequence is realized.Obviously, data processor constitutes the application.In addition, at the data being generally stored inside in a storage medium Reason program by program by directly reading out storage medium or by installing or copying to depositing for data processing equipment by program It stores up in equipment (such as hard disk and/or memory) and executes.Therefore, such storage medium also constitutes the application, and the application also provides A kind of non-volatile memory medium, wherein being stored with data processor, this data processor can be used for executing this Shen It please any one of above method example example.

The corresponding machine readable instructions of Fig. 7 modules can make operating system operated on computer etc. to complete to retouch here The some or all of operation stated.Non-volatile computer readable storage medium storing program for executing can be inserted into the expansion board in computer In set memory or write the memory being arranged in the expanding element being connected with computer.Mounted on expansion board Or CPU on expanding element etc. can be according to instruction execution part and whole practical operations.

The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention With within principle, any modification, equivalent substitution, improvement and etc. done should be included within the scope of protection of the invention god.

Claims

1. a kind of content launches the analysis method of data, which is characterized in that including:

The data of first page are provided to client, so that the client shows the first page, in the first page Displaying is useful for configuring the control of dispensing index and contents attribute dimension to be analyzed;

The client end response is received from the client to match the operation of control described in the first page in user The dispensing index and contents attribute dimension to be analyzed set;

Data are launched according to the corresponding history of each item of information, determine the at the appointed time described dispensing index to be analyzed Value;

Refer to target value according to each corresponding history dispensing data of item of information and the dispensing to be analyzed, determines each item of information Disturbance degree to the disturbance degree for launching index or to the dispensing index variation;

The disturbance degree of each item of information is provided to the client, so that the client is in the first page or The disturbance degree of each item of information is shown in two pages.

2. according to the method described in claim 1, wherein, the specified time includes time point;

It is described obtain the corresponding history of each item of information and launch data include:Obtain the corresponding history of the time point upper each item of information Launch data;

The determining dispensing refers to target value and includes:According to the time point, above the corresponding history of each item of information launches data, calculates The time point, the upper dispensing referred to target value;

The method further includes:

According to the time point, above the corresponding history of each item of information launches data, determines the time point upper each item of information for institute State the index value for launching index contribution;

Each item of information of determination to it is described launch index disturbance degree include:According to the time point upper each item of information for institute It states the index value for launching index contribution and the time point upper dispensing refers to target value, determine that each item of information refers to the dispensing Target disturbance degree.

3. according to the method described in claim 2, wherein, when the dispensing index is single index, each information of determination To it is described launch index disturbance degree include:

Each item of information is referred into the ratio of target value as each for the index value of the dispensing index contribution with the dispensing Item of information is to the disturbance degree for launching index.

4. according to the method described in claim 2, wherein, when the dispensing index includes single index A and single index B, The index value that each item of information contributes the dispensing index includes each item of information respectively to single index A and single index The index value of B contributions;The dispensing refers to the value of value and single index B that target value includes single index A;

The disturbance degree of each item of information is determined by following formula (1):

Wherein, imp_iIt is disturbance degree of i-th of the item of information in the contents attribute dimension to the dispensing index, index is described The value of index is launched on time point,A is the value of single index A, and B is the value of single index B, index_iIt is i-th The index value that a item of information contributes the dispensing index,A_iIndex A is contributed for i-th of item of information Index value, B_iThe index value that index B is contributed for i-th of item of information.

5. according to the method described in claim 1, wherein, the specified time includes:First time point and the second time point;

It is described obtain the corresponding history of each item of information and launch data include:It is corresponding to obtain each item of information in the first time point History launches data and second time point, and above the corresponding history of each item of information launches data;

The determining dispensing refers to target value and includes:Data are launched according to the corresponding history of each item of information in the first time point, Determine the value that index is launched in the first time point, above the corresponding history of each item of information launches number according to second time point According to, determine on second time point launch index value;

The method further comprises:

Data are launched according to the corresponding history of each item of information in the first time point, determine each information in the first time point First index value of the item for the dispensing index contribution;According to second time point, above the corresponding history of each item of information is launched Data determine second index value of the second time point upper each item of information for the dispensing index contribution;

Each item of information of determination to it is described dispensing index variation disturbance degree include:According to each item of information contribution First index value, second index value of each item of information contribution, the dispensing refers to target value in the first time point And the second time point upper dispensing refers to target value, determines disturbance degree of each item of information to the dispensing index variation.

6. according to the method described in claim 1, wherein, the specified time includes:Period;

It is described obtain the corresponding history of each item of information and launch data include:Obtain the corresponding history of each item of information in the period Launch data;

The determining dispensing refers to target value and includes:Data are launched according to the corresponding history of each item of information in the period, are determined It is launched in the period and refers to target value;

Each item of information of determination to it is described dispensing index variation disturbance degree include:According to each item of information pair in the period The history answered, which launches to launch in data and the period, refers to target value, determines each item of information to the dispensing index when described Between the disturbance degree that changes in section.

7. according to the method described in claim 6, further comprising:

Determine the first time point in the period and the second time point;

Data, which are launched, according to the corresponding history of each item of information in the period determines that each item of information is for institute in the period State the index value for launching index contribution;

The index value of each item of information contribution in the period is subjected to linear fit, is determined according to obtained fitting a straight line Each item of information is upper each for the first index value of the dispensing index contribution and second time point in the first time point Second index value of the item of information for the dispensing index contribution;

It will be launched in the period and refer to target value progress linear fit, the first time is determined according to obtained fitting a straight line The value of index is launched on point and the value of index is launched on second time point;

Each item of information of determination includes to the disturbance degree that changes within the period of dispensing index:According to each letter Cease first index value of item contribution, second index value of each item of information contribution, the first time point upslide The value for referring to target value and launching index on second time point is put, determines each item of information to the dispensing index when described Between the disturbance degree that changes in section.

8. according to claim 5 or method of claim 7, wherein described when the dispensing index is single index Determine that the disturbance degree of each item of information includes:

Determine first index value and the tribute on second time point that each item of information is contributed in the first time point The first difference between second index value offered;

Determine second in the first time point between the value of dispensing index and the value for launching index on second time point Difference;

Using the ratio of first difference and second difference as the disturbance degree of each item of information.

9. according to claim 5 or method of claim 7, wherein when the dispensing index includes single index A and list When one index B, first index value that each item of information is contributed in the first time point includes each item of information in institute State the index value to index A contributions and the index value to index B contributions in first time point;Each item of information is described second Second index value contributed on time point includes the index value that each item of information contributes index A on second time point And the index value to index B contributions;It includes single index A in first time point that the value of index is launched in the first time point The value of value and single index B, the value that index is launched on second time point include the second time point upper single index A value and The value of single index B;

Wherein, disturbance degree of each item of information to the dispensing index variation is determined by following formula (2):

Wherein, imp_iFor the disturbance degree of i-th of item of information in the contents attribute dimension, index is the first time point The upper value for launching index,A is the value of single index A in the first time point, and B is the first time point The value of upper single index B,A ' is the value of second time point upper single index A, and B ' is described the The value of two time points upper single index B, index_iRefer to for i-th of item of information is contributed in the first time point described first Scale value,A_iFor i-th of item of information to the index value of index A contributions, B in the first time point_iIt is i-th The index value that a item of information contributes index B in the first time point, index_i' for i-th of item of information at described second Between second index value contributed on point,A_i' i-th item of information is on second time point to index The index value of A contributions, B_i' the index value that index B is contributed on second time point for i-th of item of information.

10. a kind of content launches the analytical equipment of data, which is characterized in that including:

Transmission unit, the data for providing first page to client, so that the client shows the first page, institute Displaying in first page is stated to be useful for configuring the control of dispensing index and contents attribute dimension to be analyzed;

Receiving unit, for receiving the client end response in user for being controlled described in the first page from the client The operation of part and the dispensing index and contents attribute dimension to be analyzed configured;

Disturbance degree determination unit, is used for:

Disturbance degree transmission unit, the disturbance degree for providing each item of information to the client, so that the client exists The disturbance degree of each item of information is shown in the first page or in second page.

11. device according to claim 10, wherein the specified time includes time point, and the disturbance degree determines single Member is used for:

According to the time point, above the corresponding history of each item of information launches data, calculates the time point upper dispensing index Value;

The index value for the dispensing index contribution and the time point upper throwing according to the time point upper each item of information Finger target value is put, determines each item of information to the disturbance degree for launching index.

12. device according to claim 10, wherein the specified time includes:First time point and the second time point; The disturbance degree determination unit, is used for:

Obtain each corresponding history dispensing data of item of information and second time point upper each item of information in the first time point Corresponding history launches data;

Data are launched according to the corresponding history of each item of information in the first time point, determine that dispensing refers in the first time point Target value, according to second time point, above the corresponding history of each item of information launches data, determines the second time point upslide Put finger target value;

13. device according to claim 10, wherein the specified time includes:Period;The disturbance degree determines single Member is used for:

Data are launched according to the corresponding history of each item of information in the period, determine that dispensing refers to target value in the period;

It launches data according to the corresponding history of each item of information in the period and is launched in the period and refer to target value, determine The disturbance degree that each item of information changes the dispensing index within the period.

14. device according to claim 13, the disturbance degree determination unit, are additionally operable to:

Determine the first time point in the period and the second time point;

The index value of each item of information contribution in the period is subjected to linear fit, according to obtained fitting a straight line determination First index value and second time point upper each information of each item of information for the dispensing index contribution in first time point Second index value of the item for the dispensing index contribution;