CN101770486A - Advertising method and system - Google Patents
Advertising method and system Download PDFInfo
- Publication number
- CN101770486A CN101770486A CN200810247582A CN200810247582A CN101770486A CN 101770486 A CN101770486 A CN 101770486A CN 200810247582 A CN200810247582 A CN 200810247582A CN 200810247582 A CN200810247582 A CN 200810247582A CN 101770486 A CN101770486 A CN 101770486A
- Authority
- CN
- China
- Prior art keywords
- advertisement
- strategy
- candidate advertisements
- webpage
- same race
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The invention provides an advertising method, which comprises: matching candidate advertisements according to different strategies; and selecting at least one advertisement from the candidate advertisements and putting the advertisement onto a web page. The invention also provides an advertising system. Since the method comprises matching advertisements at first according to different strategies, then selecting at least one advertisement from the advertisements and finally putting the advertisement onto the web page, the invention can prevent the inaccurate matching advertisement as a result of the use of only one strategy, thereby improving the clicking rate of the advertisement on the web page.
Description
Technical field
The present invention relates to network technology, relate in particular to the advertisement putting technology.
Background technology
At present, a lot of webpages all can be showed advertisement to the user.Advertisement is showed in some website on webpage before, at first can calculate the degree of correlation of web page contents and ad content, advertisement that afterwards will be relevant with web page contents is as the advertisement of showing on webpage.
In the prior art, a kind of mode of the calculating web page contents commonly used and the degree of correlation of ad content is: represent webpage and advertisement respectively with two vectors, calculate the degree of correlation of webpage and advertisement with the inner product of two vectors, specific implementation comprises as shown in Figure 1:
S101: grasp the webpage that needs to show advertisement, and the text in the analyzing web page, generate the text vector Vp that represents this webpage.
S102: text vector Vp and each advertisement vector Va are compared, calculate the degree of correlation.
S103: select the highest n bar advertisement of the degree of correlation on this webpage, to show.
Above-mentioned this advertisement placement method makes the advertisement of showing on the webpage relevant with the content of webpage in theory, and still, the degree of correlation of calculating sometimes is inaccurate, therefore, in case the inaccurate ad click rate showed of will causing of the content degree of correlation of calculating is not high.
Summary of the invention
The invention provides advertisement placement method and system, to improve the clicking rate of the advertisement of on webpage, showing.
The invention provides a kind of advertisement placement method, comprising: go out candidate advertisements according to strategy matching not of the same race; At least one advertisement putting that to select from described candidate advertisements is to webpage.
Preferably, going out candidate advertisements according to strategy matching not of the same race also comprises before: obtain the environmental information that current needs are showed advertisement; The implementation that described basis strategy matching not of the same race goes out candidate advertisements is: match candidate advertisements according to strategy not of the same race and in conjunction with described environmental information.
Preferably, described environmental information is a site information, described strategy is for utilizing categories of websites coupling correspondent advertisement, according to strategy not of the same race and match candidate advertisements in conjunction with described environmental information and comprise: select the advertisement relevant with categories of websites as candidate advertisements.
Preferably, described environmental information is an info web, described strategy is for utilizing web page contents coupling correspondent advertisement, according to strategy not of the same race and match candidate advertisements in conjunction with described environmental information and comprise: select advertisement with the web page contents coupling as candidate advertisements.
Preferably, described strategy is a popular degree coupling correspondent advertisement of utilizing advertisement, goes out candidate advertisements according to strategy matching not of the same race and comprises: select popular advertisement as candidate advertisements.
Preferably, the implementation that goes out candidate advertisements according to strategy matching not of the same race is: all generate the tabulation of a candidate advertisements according to each strategy in the strategy not of the same race, all corresponding evaluation situation of each advertisement in the described tabulation.
Preferably, described evaluation situation is a mark, at least one advertisement putting that to select from described candidate advertisements to the implementation on the webpage is: the mark of each advertisement all be multiply by a coefficient, wherein, be from high to low by the coefficient of height mark correspondence on earth in each tabulation, from all tabulations, throw at webpage according at least one advertisement of mark select progressively from high to low of multiply by behind the coefficient.
Preferably, described at least one advertisement putting that will select from described candidate advertisements comprises to webpage: select at least two advertisement puttings from described candidate advertisements to webpage, the described advertisement of rendering on the webpage is based on that at least two kinds of different types of strategy matching obtain.
Preferably, described different types of strategy comprises: utilize categories of websites coupling correspondent advertisement, utilize web page contents coupling correspondent advertisement, utilize the popular degree coupling correspondent advertisement of advertisement and/or utilize user profile coupling correspondent advertisement.
The present invention also provides a kind of advertisement delivery system, comprising: matching unit is used for going out candidate advertisements according to strategy matching not of the same race; Throw in the unit, at least one advertisement putting that is used for selecting from described candidate advertisements is to webpage.
Preferably, also comprise: obtain the unit, be used for before described matching unit goes out candidate advertisements according to strategy matching not of the same race, obtaining the current environmental information that needs to show advertisement;
Described matching unit basis strategy not of the same race and the environmental information that obtains in conjunction with described acquisition unit match candidate advertisements.
Preferably, when described matching unit matches candidate advertisements according to strategy not of the same race and in conjunction with described environmental information, according to the tabulation of each strategy generation candidate advertisements, all corresponding evaluation situation of each advertisement in the described tabulation.
Preferably, the number of ads rendered on the webpage of described input unit meets the rule that sets in advance.
In the present invention, at first go out some advertisements according to strategy matching not of the same race, again with at least one advertisement putting in these advertisements to webpage, all inaccurate with regard to the advertisement of having avoided causing mating like this because only use a kind of strategy, thus the clicking rate of the advertisement on the webpage can be improved to a certain extent.
In the present invention, can be with the advertisement of popular advertisement as candidate, like this, even it is not high to render to the clicking rate of other advertisements on the webpage, popular advertisement also can guarantee the clicking rate of advertisement to a certain extent.In the present invention, can all generate the tabulation of a candidate advertisements according to each strategy in the strategy not of the same race, and all corresponding mark of each advertisement in the tabulation, when from the candidate advertisement, selecting to render to the advertisement on the webpage, the mark of the advertisement that each tabulation mid-score is high multiply by a higher coefficient, the mark of the advertisement that mark is low multiply by a lower coefficient, can improve the forward selected probability of advertisement of rank in each tabulation so as far as possible, thereby further guarantee to render to the diversity of the advertisement on the webpage.
Description of drawings
Fig. 1 is existing a kind of method flow diagram that calculates the degree of correlation of webpage and advertisement;
Fig. 2 is a kind of advertisement placement method process flow diagram of the present invention;
Fig. 3 is the structural representation of a kind of advertisement delivery system of the present invention.
Embodiment
At first a kind of advertisement placement method of the present invention is described.As shown in Figure 2, comprising:
S201: go out candidate advertisements according to strategy matching not of the same race;
S202: at least one advertisement putting that will select from described candidate advertisements is to webpage.
Strategy described here can set in advance.Strategy can be the rule of directiveness, for example algorithm.Advertisement can be meant contextual advertisement, also can be meant other forms of advertisement.In addition, can obtain at least one candidate advertisements according to each strategy.
Go out before the candidate advertisements according to strategy matching not of the same race, can also obtain the current environmental information that needs to show advertisement.Environmental information for example comprises information such as site information, info web, time, place, user.When going out candidate advertisements, can match candidate advertisements according to strategy not of the same race and in conjunction with described environmental information according to strategy matching not of the same race.For example, if described environmental information is a site information, described strategy can match the advertisement relevant with categories of websites as candidate advertisements so for utilizing categories of websites coupling correspondent advertisement.Again for example, if described environmental information is an info web, described strategy is for utilizing web page contents coupling correspondent advertisement, can match so the advertisement of mating with web page contents as candidate advertisements.
Described strategy can be selected correspondent advertisement for the popular degree of utilizing advertisement, like this, can match popular advertisement as candidate advertisements.The advantage of mating popular advertisement is that the user generally can pay close attention to popular advertisement, in other words, the clicking rate of popular advertisement generally can be than higher, like this, even the clicking rate of the advertisement that goes out according to other strategy matching is not high, the existence of popular advertisement still can improve the clicking rate of advertisement.
Described strategy also can mate correspondent advertisement for the historical record by user's browsing page.Specifically, if the user browsed the webpage of a relevant LCD TV price reduction, as user during at other no business information webpage of visit, webpage still can show the advertisement that LCD TV is correlated with so.Certainly, during the coupling correspondent advertisement, can not only only consider the historical record of user's browsing page, but can take all factors into consideration the historical record of a plurality of user's browsing pages.
Described strategy can also mate correspondent advertisement for utilizing page classifications.For example, if determine that current webpage is the webpage of relevant IT product class, then can select advertisement comparatively popular in the IT product class as candidate advertisements.
Certainly, strategy can also be other strategies, and in actual applications, the advertisement that those skilled in the art can select different multiple strategies to come matching candidate fully according to actual needs no longer illustrates other strategies here one by one.
The candidate advertisements that matches can be the form generation with tabulation.For example, can generate the tabulation of a candidate advertisements according to each strategy, each advertisement in the described tabulation can corresponding evaluation situation.Obviously, evaluation situation necessarily has the branch of height.At least one advertisement putting that to select from described candidate advertisements is to webpage the time, can be from all tabulations according at least one advertisement putting of evaluation situation select progressively from high to low to webpage.
The evaluation situation can have the multiple form of expression, and a kind of form of expression wherein can be mark.At least one advertisement putting that to select from described candidate advertisements is to webpage the time, can be from all tabulations according at least one advertisement putting of mark select progressively from high to low to webpage.In actual applications, because the strategy that uses is different, so the mark of the advertisement correspondence that is in same sorting position in each tabulation also may there are differences.For making the advertisement variation of displaying, consider again simultaneously that the forward advertisement of ordering in each tabulation can have bigger chance selected, at least one advertisement putting that to select from described candidate advertisements is to webpage the time, can be earlier the mark of each advertisement all be multiply by a coefficient, wherein, be from high to low by the coefficient of height mark correspondence on earth in each tabulation, afterwards again from all tabulations according to multiply by at least one advertisement putting of mark select progressively from high to low behind the coefficient to webpage.For example, definition coefficient f1=1, f2=0.8, f3=0.6, f4=0.5, f5=0.45..., f1 are the coefficients of the advertisement of ordering first in the corresponding lists, f2 is the coefficient of the advertisement of ordering second in the corresponding lists, by that analogy.Certainly, number of ads in each tabulation also may be inequality, in this case, though for the coefficient that definition is arranged but there is not the tabulation of the advertisement of corresponding sorting position, can be only the mark of the advertisement correspondence that exists in this tabulation be multiply by corresponding coefficient and get final product, though and needn't consider to have the coefficient of definition not have the advertisement of corresponding sorting position.For example, suppose to generate three advertising listings respectively according to three kinds of strategies, first advertising listing has 5 advertisements, and second advertising listing has 3 advertisements, and the 3rd advertising listing has 4 advertisements.When needs multiply by coefficient with mark, the mark of 3 advertisement correspondences in second advertising listing correspondence respectively multiply by f1, f2 and f3, because second advertising listing do not have the 4th advertisement and the 5th advertisement, so needn't consider f4 and f5.In like manner, the mark of 4 advertisement correspondences in the 3rd advertising listing correspondence respectively multiply by f1, f2, f3 and f4, because the 3rd advertising listing do not have the 5th advertisement, so needn't consider f5.
At least one advertisement putting that to select from described candidate advertisements also can be carried out according to the rule that sets in advance to webpage the time.For example, suppose that the rule that sets in advance is only to select an advertisement putting to webpage from each tabulation, in this case, when the advertisement selecting to render on the webpage, can from each tabulation, select the advertisement putting of ordering first to webpage.Again for example, the rule that sets in advance may be limited to the number of ads of showing on the webpage, and when the advertisement selecting to render on the webpage, the number of ads that is used for throwing on webpage of selection should meet the rule that sets in advance.Generally speaking, a webpage need be showed 3-5 advertisement.Again for example, the rule that sets in advance can be stipulated a score threshold, the pairing advertisement of mark that surpasses this threshold value can be rendered on the webpage, in this case, when the advertisement selecting to render on the webpage, can select the mark in all tabulations to surpass the advertisement putting of this threshold value to webpage.Certainly, the rule that sets in advance can also be other rules, and in actual applications, those skilled in the art can be provided with rule fully according to actual needs, illustrate no longer one by one here.
When the advertisement of showing on the webpage is rendered in selection, similar in terms of content for avoiding all advertisement, improve the clicking rate of advertisement, can select the advertisement that provides by multiple strategy as far as possible, avoid all advertisements all to come from a kind of strategy.Certainly, if the mark of the advertisement correspondence that obtains by a certain strategy all than higher, the advertisement putting that so can be only will obtain by this strategy is to webpage, and the advertisement putting that will not obtain by other strategies is to webpage.
After selecting the advertisement of rendering on the webpage, the copy that these can be had the chained address offers client, and when the user clicked one of them copy, client just can be showed the page of the detailed content with advertisement.
S201 in the said method and the executive agent of S202 can be the servers of network side, for example the server of advertisement operators (for example Sohu, Baidu etc.).
The present invention also provides a kind of advertisement delivery system except that said method is provided.As shown in Figure 3, described system comprises: matching unit 301 is used for going out candidate advertisements according to strategy matching not of the same race; Throw in unit 302, at least one advertisement putting that is used for selecting from described candidate advertisements is to webpage.
Strategy described here can set in advance.Strategy can be the rule of directiveness, for example algorithm.Advertisement can be meant contextual advertisement, also can be meant other forms of advertisement.In addition, matching unit 301 can obtain at least one candidate advertisements according to each strategy.Optionally, matching unit 301 can comprise a plurality of modules, and each module is used for going out at least one candidate advertisements according to a kind of policy selection.
Said system can also comprise acquisition unit 303, is used for obtaining the current environmental information that needs to show advertisement before described matching unit 301 goes out candidate advertisements according to strategy matching not of the same race.Environmental information for example comprises information such as site information, info web, time, place, user.When described matching unit 301 goes out candidate advertisements according to strategy matching not of the same race, can match candidate advertisements according to strategy not of the same race and the environmental information that obtains in conjunction with described acquisition unit.For example, if described environmental information is a site information, described strategy is for utilizing categories of websites coupling correspondent advertisement, and so described matching unit 301 can match the advertisement relevant with categories of websites as candidate advertisements.Again for example, if described environmental information is an info web, described strategy is for utilizing web page contents coupling correspondent advertisement, and the advertisement that so described matching unit 301 can be selected to mate with web page contents is as candidate advertisements.
Described strategy can be selected correspondent advertisement for the popular degree of utilizing advertisement, and like this, described matching unit 301 can match popular advertisement as candidate advertisements.The advantage of mating popular advertisement is that the user generally can pay close attention to popular advertisement, in other words, the clicking rate of popular advertisement generally can be than higher, like this, even the clicking rate of the advertisement that goes out according to other strategy matching is not high, the existence of popular advertisement still can improve the clicking rate of advertisement.
Described strategy also can mate correspondent advertisement for the historical record by user's browsing page.Specifically, if the user browsed the webpage of a relevant LCD TV price reduction, as user during at other no business information webpage of visit, webpage still can show the advertisement that LCD TV is correlated with so.Certainly, when described matching unit 301 mates correspondent advertisement, can not only only consider the historical record of user's browsing page, but can take all factors into consideration the historical record of a plurality of user's browsing pages.
Described strategy can also mate correspondent advertisement for utilizing page classifications.For example, if determine that current webpage is the webpage of relevant IT product class, then described matching unit 301 can select advertisement comparatively popular in the IT product class as candidate advertisements.
Certainly, strategy can also be other strategies, and in actual applications, the advertisement that those skilled in the art can select different multiple strategies to come matching candidate fully according to actual needs no longer illustrates other strategies here one by one.
The candidate advertisements that described matching unit 301 matches can be the form generation with tabulation.For example, described matching unit 301 can generate the tabulation of a candidate advertisements according to each strategy, and each advertisement in the described tabulation can corresponding evaluation situation.Obviously, evaluation situation necessarily has the branch of height.At least one advertisement putting that described input unit 302 will be selected from described candidate advertisements is to webpage the time, can be from all tabulations according at least one advertisement putting of evaluation situation select progressively from high to low to webpage.
The evaluation situation can have the multiple form of expression, and a kind of form of expression wherein can be mark.At least one advertisement putting that described input unit 302 will be selected from described candidate advertisements is to webpage the time, can be from all tabulations according at least one advertisement putting of mark select progressively from high to low to webpage.In actual applications, because the strategy that uses is different, so the mark of the advertisement correspondence that is in same sorting position in each tabulation also may there are differences.For making the advertisement variation of displaying, consider again simultaneously that the forward advertisement of ordering in each tabulation can have bigger chance selected, at least one advertisement putting that described input unit 302 will be selected from described candidate advertisements is to webpage the time, can be earlier the mark of each advertisement all be multiply by a coefficient, wherein, be from high to low by the coefficient of height mark correspondence on earth in each tabulation, afterwards again from all tabulations according to multiply by at least one advertisement putting of mark select progressively from high to low behind the coefficient to webpage.When specific implementation, described input unit 302 can comprise the mark processing module, is used for the mark of each advertisement all be multiply by a coefficient, and wherein, the coefficient by height mark correspondence on earth in each tabulation is from high to low; Select module, be used for being used for showing according at least one advertisement of mark select progressively from high to low of multiply by behind the coefficient at webpage from all tabulations.For example, definition coefficient f1=1, f2=0.8, f3=0.6, f4=0.5, f5=0.45..., f1 are the coefficients of the advertisement of ordering first in the corresponding lists, f2 is the coefficient of the advertisement of ordering second in the corresponding lists, by that analogy.Certainly, number of ads in each tabulation also may be inequality, in this case, though for the coefficient that definition is arranged but there is not the tabulation of the advertisement of corresponding sorting position, the mark processing module can be only multiply by corresponding coefficient with the mark of the advertisement correspondence that exists in this tabulation and gets final product, though and needn't consider to have the coefficient of definition not have the advertisement of corresponding sorting position.For example, suppose to generate three advertising listings respectively according to three kinds of strategies, first advertising listing has 5 advertisements, and second advertising listing has 3 advertisements, and the 3rd advertising listing has 4 advertisements.When the mark processing module need multiply by coefficient with mark, the mark of 3 advertisement correspondences in second advertising listing correspondence respectively multiply by f1, f2 and f3, because second advertising listing do not have the 4th advertisement and the 5th advertisement, so needn't consider f4 and f5.In like manner, the mark of 4 advertisement correspondences in the 3rd advertising listing correspondence respectively multiply by f1, f2, f3 and f4, because the 3rd advertising listing do not have the 5th advertisement, so needn't consider f5.
At least one advertisement putting that described input unit 302 will be selected from described candidate advertisements also can be carried out according to the rule that sets in advance to webpage.For example, suppose that the rule that sets in advance is only to select an advertisement putting to webpage from each tabulation, in this case, when advertisement on the webpage is selected to render in described input unit 302, can from each tabulation, select the advertisement putting of ordering first to webpage.Again for example, the rule that sets in advance may be limited to the number of ads of showing on the webpage, and when advertisement on the webpage was selected to render in described input unit 302, the number of ads that is used for throwing on webpage of selection should meet the rule that sets in advance.Generally speaking, a webpage need be showed 3-5 advertisement.Again for example, the rule that sets in advance can be stipulated a score threshold, the pairing advertisement of mark that surpasses this threshold value can be rendered on the webpage, in this case, when advertisement on the webpage is selected to render in described input unit 302, can select the mark in all tabulations to surpass the advertisement putting of this threshold value to webpage.Certainly, the rule that sets in advance can also be other rules, and in actual applications, those skilled in the art can be provided with rule fully according to actual needs, illustrate no longer one by one here.
When advertisement on the webpage is selected to render in described input unit 302, similar in terms of content for avoiding all advertisement, improve the clicking rate of advertisement, can select the advertisement that provides by multiple strategy as far as possible, avoid all advertisements all to come from a kind of strategy.Certainly, if the mark of the advertisement correspondence that obtains by a certain strategy all than higher, the advertisement putting that so described input unit 302 can be only will obtain by this strategy is to webpage, and the advertisement putting that will not obtain by other strategies is to webpage.
After the advertisement of rendering on the webpage is selected in described input unit 302, described input unit 302 can offer client with the copy with chained address of these advertisements, when the user clicked one of them copy, client just can be showed the page of the detailed content with advertisement.Each unit in the said system can be arranged on the server of network side, the server of the advertisement operators (for example Sohu, Baidu etc.) of webpage for example is provided, the working method of these unit on the server of network side is identical with working method in said system, repeats no more here.
For making those skilled in the art more clearly understand the present invention, the present invention will be described for example more below.
Suppose and on the webpage of " pet China " website, to show contextual advertisement.Suppose that again each page can show 3 advertisements.At first utilize various strategies to obtain suitable advertisement, specific as follows:
1. according to the popular advertisement under the categories of websites selection related category.Because the website is the pets websites, thus for example relevant advertisement can be selected with " Tibetan mastiff ", and provide the mark of each advertisement correspondence.
2. select advertisement according to the page of showing advertisement.Suppose that the page is the page how to select dog grain, for example can select the advertisement of " dog grain " sale so, and provide the mark of each advertisement correspondence.
3. select advertisement according to popular degree.For example can select " lottery ticket " series advertisements, and provide the mark of each advertisement correspondence.
After going out advertisement and obtain the mark of each advertisement correspondence according to each policy selection, each mark be multiply by corresponding coefficient, obtain adjusted mark.Afterwards, select 3 the highest advertisements of adjusted mark to be used on a webpage of " pet China " website, showing.
In sum, the present invention can be with the advertisement putting that obtains based on strategy matching not of the same race to webpage, can avoid like this because all advertisements of only using a kind of strategy matching to obtain are all uncorrelated with the content of webpage as far as possible, thereby improve the clicking rate of the advertisement on the webpage.
The above only is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (13)
1. an advertisement placement method is characterized in that, comprising:
Go out candidate advertisements according to strategy matching not of the same race;
At least one advertisement putting that to select from described candidate advertisements is to webpage.
2. the method for claim 1 is characterized in that, goes out before the candidate advertisements according to strategy matching not of the same race, also comprises: obtain the environmental information that current needs are showed advertisement;
The implementation that goes out candidate advertisements according to strategy matching not of the same race is: match candidate advertisements according to strategy not of the same race and in conjunction with described environmental information.
3. method as claimed in claim 2, it is characterized in that, described environmental information is a site information, described strategy is for utilizing categories of websites coupling correspondent advertisement, according to strategy not of the same race and match candidate advertisements in conjunction with described environmental information and comprise: select the advertisement relevant with categories of websites as candidate advertisements.
4. method as claimed in claim 2, it is characterized in that, described environmental information is an info web, described strategy is for utilizing web page contents coupling correspondent advertisement, according to strategy not of the same race and match candidate advertisements in conjunction with described environmental information and comprise: select advertisement with the web page contents coupling as candidate advertisements.
5. the method for claim 1 is characterized in that, described strategy is a popular degree coupling correspondent advertisement of utilizing advertisement, goes out candidate advertisements according to strategy matching not of the same race and comprises: select popular advertisement as candidate advertisements.
6. the method for claim 1, it is characterized in that, the implementation that goes out candidate advertisements according to strategy matching not of the same race is: all generate the tabulation of a candidate advertisements according to each strategy in the strategy not of the same race, all corresponding evaluation situation of each advertisement in the described tabulation.
7. method as claimed in claim 6, it is characterized in that, described evaluation situation is a mark, at least one advertisement putting that to select from described candidate advertisements to the implementation on the webpage is: the mark of each advertisement all be multiply by a coefficient, wherein, be from high to low by the coefficient of height mark correspondence on earth in each tabulation, from all tabulations, throw at webpage according at least one advertisement of mark select progressively from high to low of multiply by behind the coefficient.
8. the method for claim 1 is characterized in that, described at least one advertisement putting that will select from described candidate advertisements comprises to webpage:
Select at least two advertisement puttings from described candidate advertisements to webpage, the described advertisement of rendering on the webpage is based on that at least two kinds of different types of strategy matching obtain.
9. the method for claim 1, it is characterized in that described different types of strategy comprises: utilize categories of websites coupling correspondent advertisement, utilize web page contents coupling correspondent advertisement, utilize the popular degree coupling correspondent advertisement of advertisement and/or utilize user profile coupling correspondent advertisement.
10. an advertisement delivery system is characterized in that, comprising:
Matching unit is used for going out candidate advertisements according to strategy matching not of the same race;
Throw in the unit, at least one advertisement putting that is used for selecting from described candidate advertisements is to webpage.
11. system as claimed in claim 10 is characterized in that, also comprises: obtain the unit, be used for before described matching unit goes out candidate advertisements according to strategy matching not of the same race, obtaining the current environmental information that needs to show advertisement;
Described matching unit basis strategy not of the same race and the environmental information that obtains in conjunction with described acquisition unit match candidate advertisements.
12. system as claimed in claim 10, it is characterized in that, when described matching unit matches candidate advertisements according to strategy not of the same race and in conjunction with described environmental information, according to the tabulation of each strategy generation candidate advertisements, all corresponding evaluation situation of each advertisement in the described tabulation.
13. system as claimed in claim 10 is characterized in that, the number of ads that described input unit is rendered on the webpage meets the rule that sets in advance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200810247582A CN101770486A (en) | 2008-12-30 | 2008-12-30 | Advertising method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200810247582A CN101770486A (en) | 2008-12-30 | 2008-12-30 | Advertising method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101770486A true CN101770486A (en) | 2010-07-07 |
Family
ID=42503351
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200810247582A Pending CN101770486A (en) | 2008-12-30 | 2008-12-30 | Advertising method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101770486A (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102938121A (en) * | 2011-08-15 | 2013-02-20 | 阿里巴巴集团控股有限公司 | Method and device for releasing commodity information |
| CN104169957A (en) * | 2011-12-27 | 2014-11-26 | 白承铁 | Apparatus and method for providing an advertisement by using an instant coupon |
| CN104462246A (en) * | 2014-11-19 | 2015-03-25 | 北京奇虎科技有限公司 | Method and device for correlation of links and web pages |
| CN104574124A (en) * | 2013-10-10 | 2015-04-29 | 深圳市腾讯计算机系统有限公司 | Method and device for determining exhibition effect of advertisement data |
| CN104933603A (en) * | 2015-06-30 | 2015-09-23 | 北京奇艺世纪科技有限公司 | A method and an apparatus for advertisement displaying |
| WO2016004586A1 (en) * | 2014-07-08 | 2016-01-14 | Yahoo! Inc. | Browsing context based advertisement selection |
| CN106331796A (en) * | 2016-10-13 | 2017-01-11 | 天脉聚源（北京）科技有限公司 | Television advertisement putting method and device |
| CN106537436A (en) * | 2015-04-23 | 2017-03-22 | Sk 普兰尼特有限公司 | Retargeted advertised product recommendation user device and service providing device, advertised product recommendation system comprising same, method for controlling same and recording medium having computer program recorded therein |
| CN107578287A (en) * | 2017-09-07 | 2018-01-12 | 北京奇虎科技有限公司 | The frequency control method and device of advertisement putting |
| CN108052671A (en) * | 2017-12-29 | 2018-05-18 | 北京奇虎科技有限公司 | A kind of method and system that content item push is carried out based on Dynamic Matching |
| CN109299972A (en) * | 2018-08-24 | 2019-02-01 | 努比亚技术有限公司 | A kind of advertisement distribution method, server and computer readable storage medium |
| CN111813986A (en) * | 2020-07-10 | 2020-10-23 | 重庆中科云从科技有限公司 | Intelligent advertisement pushing method, device, system, medium and electronic terminal |
| CN112766737A (en) * | 2021-01-21 | 2021-05-07 | 北京搜狗科技发展有限公司 | Method for determining risk of advertisement delivery material and related device |
-
2008
- 2008-12-30 CN CN200810247582A patent/CN101770486A/en active Pending
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102938121A (en) * | 2011-08-15 | 2013-02-20 | 阿里巴巴集团控股有限公司 | Method and device for releasing commodity information |
| CN104169957A (en) * | 2011-12-27 | 2014-11-26 | 白承铁 | Apparatus and method for providing an advertisement by using an instant coupon |
| CN104574124B (en) * | 2013-10-10 | 2018-07-17 | 深圳市腾讯计算机系统有限公司 | Determine the method and device of the bandwagon effect of ad data |
| CN104574124A (en) * | 2013-10-10 | 2015-04-29 | 深圳市腾讯计算机系统有限公司 | Method and device for determining exhibition effect of advertisement data |
| WO2016004586A1 (en) * | 2014-07-08 | 2016-01-14 | Yahoo! Inc. | Browsing context based advertisement selection |
| CN106575407A (en) * | 2014-07-08 | 2017-04-19 | 埃克斯凯利博Ip有限责任公司 | Browsing context based advertisement selection |
| CN104462246A (en) * | 2014-11-19 | 2015-03-25 | 北京奇虎科技有限公司 | Method and device for correlation of links and web pages |
| CN104462246B (en) * | 2014-11-19 | 2019-03-05 | 北京奇虎科技有限公司 | The method and apparatus of link and Webpage correlation |
| CN106537436A (en) * | 2015-04-23 | 2017-03-22 | Sk 普兰尼特有限公司 | Retargeted advertised product recommendation user device and service providing device, advertised product recommendation system comprising same, method for controlling same and recording medium having computer program recorded therein |
| CN104933603A (en) * | 2015-06-30 | 2015-09-23 | 北京奇艺世纪科技有限公司 | A method and an apparatus for advertisement displaying |
| CN106331796A (en) * | 2016-10-13 | 2017-01-11 | 天脉聚源（北京）科技有限公司 | Television advertisement putting method and device |
| CN107578287A (en) * | 2017-09-07 | 2018-01-12 | 北京奇虎科技有限公司 | The frequency control method and device of advertisement putting |
| CN108052671A (en) * | 2017-12-29 | 2018-05-18 | 北京奇虎科技有限公司 | A kind of method and system that content item push is carried out based on Dynamic Matching |
| CN108052671B (en) * | 2017-12-29 | 2021-01-08 | 北京奇元科技有限公司 | Method and system for pushing content items based on dynamic matching |
| CN109299972A (en) * | 2018-08-24 | 2019-02-01 | 努比亚技术有限公司 | A kind of advertisement distribution method, server and computer readable storage medium |
| CN111813986A (en) * | 2020-07-10 | 2020-10-23 | 重庆中科云从科技有限公司 | Intelligent advertisement pushing method, device, system, medium and electronic terminal |
| CN111813986B (en) * | 2020-07-10 | 2023-12-22 | 重庆中科云从科技有限公司 | Intelligent advertisement pushing method, device, system, medium and electronic terminal |
| CN112766737A (en) * | 2021-01-21 | 2021-05-07 | 北京搜狗科技发展有限公司 | Method for determining risk of advertisement delivery material and related device |
| CN112766737B (en) * | 2021-01-21 | 2024-04-26 | 北京搜狗科技发展有限公司 | Method and related device for determining risk of advertising materials |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101770486A (en) | Advertising method and system | |
| JP5462971B2 (en) | Information processing apparatus, information processing method, and information processing program | |
| US8924558B2 (en) | System and method of delivering content based advertising | |
| US8788338B1 (en) | Unified marketplace for advertisements and content in an online system | |
| US20100088321A1 (en) | Method and a system for advertising | |
| US9911135B2 (en) | Online advertising with enhanced publisher involvement | |
| US20130238446A1 (en) | Network node ad targeting | |
| US20120084149A1 (en) | Methods and systems for online advertising with interactive text clouds | |
| US8843619B2 (en) | System and method for monitoring visits to a target site | |
| CN101261716A (en) | Method and device for identifying mapping relation of advertisement and its distribution site | |
| WO2013085677A1 (en) | Bookmarking social networking system content | |
| WO2011146860A2 (en) | Contextual content items for mobile applications | |
| WO2014139372A1 (en) | System and method for selecting and rendering content | |
| US20140089043A1 (en) | Audience Size Estimation and Complex Segment Logic | |
| CN104683122A (en) | Multi-screen-linkage-based information transmitting method and system | |
| CN103744938A (en) | Method and device for generating user page corresponding to target system | |
| CN103530794A (en) | Content-based bidding in online advertising | |
| KR20120074626A (en) | System and method for recommending keyword based on indirect click | |
| JP2009230524A (en) | Dishonesty detection device and dishonesty detection method | |
| CN103530793A (en) | Content-based targeted online advertisement | |
| Matsyi | Using dynamic content to increase relevance | |
| US20090265665A1 (en) | Methods and apparatus for interactive advertising | |
| US20120059852A1 (en) | Apparatus, System and Method for Disambiguating a Request for a Media Enhancement | |
| Radhika et al. | An enhanced model for behavioral targeting in online advertising | |
| CN101169861A (en) | User tendency modeling method based on network browsing behavior |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20100707 |