CN107516247A - A kind of method and device for predicting advertisement played data - Google Patents

A kind of method and device for predicting advertisement played data Download PDF

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Publication number
CN107516247A
CN107516247A CN201710751072.3A CN201710751072A CN107516247A CN 107516247 A CN107516247 A CN 107516247A CN 201710751072 A CN201710751072 A CN 201710751072A CN 107516247 A CN107516247 A CN 107516247A
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China
Prior art keywords
advertisement
data
broadcasting time
current period
played data
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CN201710751072.3A
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Chinese (zh)
Inventor
王硕
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TVM Beijing Technology Co Ltd
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TVM Beijing Technology Co Ltd
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Priority to CN201710751072.3A priority Critical patent/CN107516247A/en
Publication of CN107516247A publication Critical patent/CN107516247A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0242Determining effectiveness of advertisements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0277Online advertisement

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  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Finance (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a kind of method and device for predicting advertisement played data.The method of the prediction advertisement played data, including:Count the advertisement broadcasting time in current period;According to default data processing rule, the advertisement broadcasting time in the current period is handled;According to the result of processing, the advertisement played data of next cycle is predicted.The present invention can be predicted according to the advertisement played data in current period to the ad data of next cycle, so as to provide the reliable data content with reference to decision-making for advertisement practitioner.

Description

A kind of method and device for predicting advertisement played data
Technical field
The present invention relates to application technology technical field, more particularly to a kind of method and device for predicting advertisement played data.
Background technology
Advertisement is widely deep among the every aspect of today's society.But lack prediction future in the prior art Advertisement played data technical scheme, and following advertisement played data is extremely important ginseng for advertisement practitioner Examine the data content with decision-making.Inaccurate prediction advertisement played data result in advertisement practitioner and be lacked when formulating some decision-makings Weary reliable data basis.How adequate solution above mentioned problem, just become industry problem urgently to be resolved hurrily.
The content of the invention
The present invention provides a kind of method and device for predicting advertisement played data, to be broadcast according to the advertisement in current period Put data to be predicted the ad data of next cycle, so as to provide reliable reference and decision-making for advertisement practitioner Data content.
First aspect according to embodiments of the present invention, there is provided a kind of method for predicting advertisement played data, including:
Count the advertisement broadcasting time in current period;
According to default data processing rule, the advertisement broadcasting time in the current period is handled;
According to the result of processing, the advertisement played data of next cycle is predicted.
In one embodiment, the advertisement broadcasting time in the statistics current period, including:
Count the advertisement broadcasting time of the click type in current period;
Count the advertisement broadcasting time of the displaying type in current period.
In one embodiment, it is described according to default data processing rule, the advertisement in the current period is played Data are handled, including:
Default first unit coefficient is multiplied by the advertisement broadcasting time of the click type;
The result for confirming the multiplying is the first data.
In one embodiment, the result according to processing, the advertisement played data of next cycle is predicted, including:
To the advertisement broadcasting time of first data divided by the displaying type;
The result for confirming the multiplying is the advertisement played data of the next cycle.
In one embodiment, in addition to:
The client advertisement played data of the next cycle being sent to where default user.
Second aspect according to embodiments of the present invention, there is provided a kind of device for predicting advertisement played data, including:
Statistical module, for counting the advertisement broadcasting time in current period;
Processing module, for according to default data processing rule, entering to the advertisement broadcasting time in the current period Row processing;
Prediction module, for the result according to processing, predict the advertisement played data of next cycle.
In one embodiment, the statistical module, including:
First statistic submodule, for counting the advertisement broadcasting time of the click type in current period;
Second statistic submodule, for counting the advertisement broadcasting time of the displaying type in current period.
In one embodiment, the processing module, including:
Computing submodule, for being multiplied by default first unit coefficient to the advertisement broadcasting time of the click type;
First confirms submodule, and the result for confirming the multiplying is the first data.
In one embodiment, the prediction module, including:
Submodule is shown, for the advertisement broadcasting time to first data divided by the displaying type;
Second confirms submodule, and number is played for the advertisement of the next cycle for confirming the result of the multiplying According to.
In one embodiment, in addition to:
Sending module, for the client being sent to the advertisement played data of the next cycle where default user End.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification Obtain it is clear that or being understood by implementing the present invention.The purpose of the present invention and other advantages can be by the explanations write Specifically noted structure is realized and obtained in book, claims and accompanying drawing.
Below by drawings and examples, technical scheme is described in further detail.
Brief description of the drawings
Accompanying drawing is used for providing a further understanding of the present invention, and a part for constitution instruction, the reality with the present invention Apply example to be used to explain the present invention together, be not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is a kind of flow chart of the method for prediction advertisement played data shown in an exemplary embodiment of the invention;
Fig. 2 is a kind of step S11 of the method for prediction advertisement played data shown in an exemplary embodiment of the invention Flow chart;
Fig. 3 is a kind of step S12 of the method for prediction advertisement played data shown in an exemplary embodiment of the invention Flow chart;
Fig. 4 is a kind of step S13 of the method for prediction advertisement played data shown in an exemplary embodiment of the invention Flow chart;
Fig. 5 is a kind of flow chart of the method for prediction advertisement played data shown in another exemplary embodiment of the present invention;
Fig. 6 is a kind of block diagram of the device of prediction advertisement played data shown in an exemplary embodiment of the invention;
Fig. 7 is a kind of statistical module 61 of the device of prediction advertisement played data shown in an exemplary embodiment of the invention Block diagram;
Fig. 8 is a kind of processing module 62 of the device of prediction advertisement played data shown in an exemplary embodiment of the invention Block diagram;
Fig. 9 is a kind of prediction module 63 of the device of prediction advertisement played data shown in an exemplary embodiment of the invention Block diagram;
Figure 10 is a kind of block diagram of the device of prediction advertisement played data shown in another exemplary embodiment of the present invention.
Embodiment
The preferred embodiments of the present invention are illustrated below in conjunction with accompanying drawing, it will be appreciated that described herein preferred real Apply example to be merely to illustrate and explain the present invention, be not intended to limit the present invention.
Fig. 1 is a kind of method flow diagram of prediction advertisement played data according to an exemplary embodiment, such as Fig. 1 institutes Show, the method for the prediction advertisement played data, comprise the following steps S11-S13:
In step s 11, the advertisement broadcasting time in current period is counted;
In step s 12, according to default data processing rule, the advertisement broadcasting time in the current period is carried out Processing;
In step s 13, according to the result of processing, the advertisement played data of next cycle is predicted.
In one embodiment, advertisement is widely deep among the every aspect of today's society.But existing skill Lack the technical scheme of following advertisement played data of prediction in art, and following advertisement played data is come to advertisement practitioner Say it is the extremely important data content with reference to decision-making.Inaccurate prediction advertisement played data result in advertisement practitioner and exist Lack reliable data basis when formulating some decision-makings.Technical scheme in the present embodiment can adequate solution above mentioned problem.
Count the advertisement broadcasting time in current period.Further, the advertisement of the click type in current period is counted Broadcasting time, count the advertisement broadcasting time of the displaying type in current period.
According to default data processing rule, the advertisement broadcasting time in the current period is handled.Further, Default first unit coefficient is multiplied by the advertisement broadcasting time of the click type, and confirm the multiplying result be first Data.
According to the result of processing, the advertisement played data of next cycle is predicted.Further, to first data divided by The advertisement broadcasting time of the displaying type, and confirm the multiplying result be the next cycle advertisement played data.
Technical scheme in the present embodiment can be according to advertisement of the advertisement played data to next cycle in current period Data are predicted, so as to provide the reliable data content with reference to decision-making for advertisement practitioner.
In one embodiment, as shown in Fig. 2 step S11 comprises the following steps S21-S22:
In the step s 21, the advertisement broadcasting time of the click type in current period is counted;
In step S22, the advertisement broadcasting time of the displaying type in current period is counted.
In one embodiment, advertisement person sees advertisement, and for third-party platform, this is just constituted once Show the broadcasting of the advertisement of type.When advertisement person not only sees the advertisement, the related link of the advertisement is also clicked on Or during icon, for third-party platform, this just constitutes the broadcasting of the advertisement of one click type.Click on type Advertisement is built upon on the basis of the advertisement of displaying type.The advertisement broadcasting time of the click type in current period is counted, And count the advertisement broadcasting time of the displaying type in current period.The duration of current period can be one day, one week, January Deng user can also be according to the actual demand of itself, the duration in designed, designed cycle.For example, the displaying in statistics current period The advertisement broadcasting time of type is 1,000,000 times, and the advertisement broadcasting time for counting the click type in current period is 200,000 times.
In one embodiment, as shown in figure 3, step S12 comprises the following steps S31-S32:
In step S31, default first unit coefficient is multiplied by the advertisement broadcasting time of the click type;
In step s 32, the result for confirming the multiplying is the first data.
In one embodiment, according to default data processing rule, the advertisement to the click type is multiplied by default One unit coefficient, the result for confirming the multiplying are the first data.For example, the advertisement of the click type in current period plays Number is 200,000 times, and default first unit coefficient is 4, and the first data can be obtained as 800,000 by being calculated by multiplication.
In one embodiment, as shown in figure 4, step S13 comprises the following steps S41-S42:
In step S41, to the advertisement broadcasting time of first data divided by the displaying type;
In step S42, the result for confirming the multiplying is the advertisement played data of the next cycle.
In one embodiment, according to the result of processing, the advertisement played data of next cycle is predicted.To first number According to divided by the displaying type advertisement broadcasting time, confirm that the result of the multiplying plays number for the advertisement of the next cycle According to.For example, be 800,000 according to the first data being calculated in above-described embodiment, divided by the advertisement broadcasting time of displaying type is 100000 times, the advertisement played data that next cycle can be obtained by multiplication calculating is 8.
In one embodiment, as shown in figure 5, also comprising the following steps S51:
In step s 51, the client advertisement played data of the next cycle being sent to where default user End.
In one embodiment, the duration of the advertisement played data preset in advance of the next cycle is sent to default Client where user, and the quantity of the client where default user can be multiple.For example, by next cycle Advertisement played data 8 shifts to an earlier date 24 hours clients being sent to where default user.
In one embodiment, Fig. 6 is a kind of dress of prediction advertisement played data according to an exemplary embodiment Put block diagram.As Fig. 6 shows, the device includes statistical module 61, processing module 62 and prediction module 63.
The statistical module 61, for counting the advertisement broadcasting time in current period;
The processing module 62, for according to default data processing rule, being played to the advertisement in the current period secondary Number is handled;
The prediction module 63, for the result according to processing, predict the advertisement played data of next cycle.
As shown in fig. 7, the statistical module 61 includes the first statistic submodule 71 and the second statistic submodule 72.
First statistic submodule 71, for counting the advertisement broadcasting time of the click type in current period;
Second statistic submodule 72, for counting the advertisement broadcasting time of the displaying type in current period.
As shown in figure 8, the processing module 62, which includes computing submodule 81 and first, confirms submodule 82.
The computing submodule 81, for being multiplied by default first system of units to the advertisement broadcasting time of the click type Number;
The first confirmation submodule 82, the result for confirming the multiplying is the first data.
As shown in figure 9, the prediction module 63, which includes displaying submodule 91 and second, confirms submodule 92.
The displaying submodule 91, for the advertisement broadcasting time to first data divided by the displaying type;
The second confirmation submodule 92, broadcasts for confirming the result of the multiplying for the advertisement of the next cycle Put data.
As shown in Figure 10, in addition to sending module 101.
The sending module 101, for the advertisement played data of the next cycle to be sent to where default user Client.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program Product.Therefore, the present invention can use the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware Apply the form of example.Moreover, the present invention can use the computer for wherein including computer usable program code in one or more The shape for the computer program product that usable storage medium is implemented on (including but is not limited to magnetic disk storage and optical memory etc.) Formula.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product Figure and/or block diagram describe.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided The processors of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, so as in computer or The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one The step of function of being specified in individual square frame or multiple square frames.
Above-described embodiment can independent assortment.Obviously, those skilled in the art can to the present invention carry out it is various change and Modification is without departing from the spirit and scope of the present invention.So, if these modifications and variations of the present invention belong to right of the present invention It is required that and its within the scope of equivalent technologies, then the present invention be also intended to comprising these change and modification including.

Claims (10)

  1. A kind of 1. method for predicting advertisement played data, it is characterised in that including:
    Count the advertisement broadcasting time in current period;
    According to default data processing rule, the advertisement broadcasting time in the current period is handled;
    According to the result of processing, the advertisement played data of next cycle is predicted.
  2. 2. the method as described in claim 1, it is characterised in that the advertisement broadcasting time in the statistics current period, including:
    Count the advertisement broadcasting time of the click type in current period;
    Count the advertisement broadcasting time of the displaying type in current period.
  3. 3. method as claimed in claim 2, it is characterised in that it is described according to default data processing rule, to described current Advertisement played data in cycle is handled, including:
    Default first unit coefficient is multiplied by the advertisement broadcasting time of the click type;
    The result for confirming the multiplying is the first data.
  4. 4. method as claimed in claim 3, it is characterised in that the result according to processing, predict the wide of next cycle Played data is accused, including:
    To the advertisement broadcasting time of first data divided by the displaying type;
    The result for confirming the multiplying is the advertisement played data of the next cycle.
  5. 5. the method as described in claim 1, it is characterised in that also include:
    The client advertisement played data of the next cycle being sent to where default user.
  6. A kind of 6. device for predicting advertisement played data, it is characterised in that including:
    Statistical module, for counting the advertisement broadcasting time in current period;
    Processing module, for according to default data processing rule, at the advertisement broadcasting time in the current period Reason;
    Prediction module, for the result according to processing, predict the advertisement played data of next cycle.
  7. 7. device according to claim 6, it is characterised in that the statistical module, including:
    First statistic submodule, for counting the advertisement broadcasting time of the click type in current period;
    Second statistic submodule, for counting the advertisement broadcasting time of the displaying type in current period.
  8. 8. device according to claim 7, it is characterised in that the processing module, including:
    Computing submodule, for being multiplied by default first unit coefficient to the advertisement broadcasting time of the click type;
    First confirms submodule, and the result for confirming the multiplying is the first data.
  9. 9. device according to claim 8, it is characterised in that the prediction module, including:
    Submodule is shown, for the advertisement broadcasting time to first data divided by the displaying type;
    Second confirms submodule, and the result for confirming the multiplying is the advertisement played data of the next cycle.
  10. 10. device according to claim 6, it is characterised in that also include:
    Sending module, for the client being sent to the advertisement played data of the next cycle where default user.
CN201710751072.3A 2017-08-28 2017-08-28 A kind of method and device for predicting advertisement played data Pending CN107516247A (en)

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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101770482A (en) * 2008-12-26 2010-07-07 北京搜狗科技发展有限公司 Method and system for issuing advertisements
CN103246985A (en) * 2013-04-26 2013-08-14 北京亿赞普网络技术有限公司 Advertisement click rate predicting method and device
CN103268344A (en) * 2013-05-24 2013-08-28 华东师范大学 Method for matching advertisements and pages without position bias influence
CN103310003A (en) * 2013-06-28 2013-09-18 华东师范大学 Method and system for predicting click rate of new advertisement based on click log
US20140324571A1 (en) * 2013-03-12 2014-10-30 Tencent Technology (Shenzhen) Company Limited System and method for selecting and rendering content
CN104268644A (en) * 2014-09-23 2015-01-07 新浪网技术(中国)有限公司 Method and device for predicting click frequency of advertisement at advertising position
CN104700288A (en) * 2015-02-28 2015-06-10 深圳市同洲电子股份有限公司 Internet advertising method and device
CN104731837A (en) * 2013-12-22 2015-06-24 祁勇 Advertisement injecting method based on auxiliary keywords
CN105260913A (en) * 2015-10-16 2016-01-20 上海晶赞科技发展有限公司 CTR estimation method and system, and DSP server used for Internet advertisement putting
CN106096629A (en) * 2016-06-01 2016-11-09 南京邮电大学 A kind of based on user between the ad click rate Forecasting Methodology of similarity relation
CN106296286A (en) * 2016-08-09 2017-01-04 北京奇虎科技有限公司 The predictor method of ad click rate and estimating device

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101770482A (en) * 2008-12-26 2010-07-07 北京搜狗科技发展有限公司 Method and system for issuing advertisements
US20140324571A1 (en) * 2013-03-12 2014-10-30 Tencent Technology (Shenzhen) Company Limited System and method for selecting and rendering content
CN103246985A (en) * 2013-04-26 2013-08-14 北京亿赞普网络技术有限公司 Advertisement click rate predicting method and device
CN103268344A (en) * 2013-05-24 2013-08-28 华东师范大学 Method for matching advertisements and pages without position bias influence
CN103310003A (en) * 2013-06-28 2013-09-18 华东师范大学 Method and system for predicting click rate of new advertisement based on click log
CN104731837A (en) * 2013-12-22 2015-06-24 祁勇 Advertisement injecting method based on auxiliary keywords
CN104268644A (en) * 2014-09-23 2015-01-07 新浪网技术(中国)有限公司 Method and device for predicting click frequency of advertisement at advertising position
CN104700288A (en) * 2015-02-28 2015-06-10 深圳市同洲电子股份有限公司 Internet advertising method and device
CN105260913A (en) * 2015-10-16 2016-01-20 上海晶赞科技发展有限公司 CTR estimation method and system, and DSP server used for Internet advertisement putting
CN106096629A (en) * 2016-06-01 2016-11-09 南京邮电大学 A kind of based on user between the ad click rate Forecasting Methodology of similarity relation
CN106296286A (en) * 2016-08-09 2017-01-04 北京奇虎科技有限公司 The predictor method of ad click rate and estimating device

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