WO2009120426A2 - Automatic customization and rendering of ads based on detected features in a web page - Google Patents

Automatic customization and rendering of ads based on detected features in a web page Download PDF

Info

Publication number
WO2009120426A2
WO2009120426A2 PCT/US2009/034207 US2009034207W WO2009120426A2 WO 2009120426 A2 WO2009120426 A2 WO 2009120426A2 US 2009034207 W US2009034207 W US 2009034207W WO 2009120426 A2 WO2009120426 A2 WO 2009120426A2
Authority
WO
WIPO (PCT)
Prior art keywords
webpage
product
media
web page
text
Prior art date
Application number
PCT/US2009/034207
Other languages
English (en)
French (fr)
Other versions
WO2009120426A3 (en
Inventor
Arungunram C. Surendran
Ewa Dominowska
Yi Zhang
Original Assignee
Microsoft Corporation
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Microsoft Corporation filed Critical Microsoft Corporation
Priority to EP09724419A priority Critical patent/EP2257926A4/en
Priority to MX2010010507A priority patent/MX339051B/es
Priority to BRPI0908275-1A priority patent/BRPI0908275A2/pt
Priority to JP2011501857A priority patent/JP5536029B2/ja
Priority to AU2009229120A priority patent/AU2009229120B2/en
Priority to CN2009801119373A priority patent/CN101981588A/zh
Priority to CA2716491A priority patent/CA2716491A1/en
Publication of WO2009120426A2 publication Critical patent/WO2009120426A2/en
Publication of WO2009120426A3 publication Critical patent/WO2009120426A3/en
Priority to ZA2010/05927A priority patent/ZA201005927B/en

Links

Classifications

    • 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
    • G06Q30/0251Targeted advertisements
    • G06Q30/0263Targeted advertisements based upon Internet or website rating
    • 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
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • 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
    • G06Q30/0251Targeted advertisements
    • G06Q30/0255Targeted advertisements based on user history

Definitions

  • Advertisers have no way of customizing ads once they are created for delivery to a web page. In many instances, advertisers submit ads for their products to an ad service such as Microsoft adCenter by Microsoft Corporation of Redmond, Washington. These ads are created in advance and cannot be changed. [0002]
  • the problem with a pre-defined ad is that it may be shown on a web page that is hostile or negative to the advertiser. For example, an advertiser for a travel company may pay monies to have its ad shown on a travel website. However, other advertisers may pay monies as well vying for the same advertising space.
  • the ad service takes into account several factors for delivering the advertiser's ad to the travel website for rendering.
  • the ad service may consider the probability of the ad being selected for viewing, the relevance of the keywords submitted by the advertiser to the travel website, and the monetary value of the keyword.
  • the ad service makes a selection of which advertiser's ad to display at the travel website, the ad is selected and appropriately shown.
  • the travel website could contain travel reviews that disparage the travel company. It would be most unfortunate to render an ad from the travel company on the travel website that contains disparaging comments about the travel company. It would be beneficial to know some information about the travel website and allow an ad to be customized according to features of the website.
  • Embodiments of the present invention solve at least the above problems by providing media and system for tailoring advertisements to a web page at a time of delivery, for determining how an ad is to appear in a web page, and for determining an ad for display in a web page.
  • Advertisements can be created and customized at a time of delivery to a web page.
  • a person's sentiment towards an aspect or a feature of product can automatically be detected from written information in the web page. This information can come from blogs or review websites.
  • the sentiment can be detected as being positive, negative, or neutral, and can be detected as a whole on the entire web page or detected as blocks of information within the web page.
  • an ad can be created from the written information in the web page. The ad is then rendered within the web page to be shown to a user that has accessed the web page over a communication connection.
  • FIG. 1 is a screen shot of an exemplary web page when not implementing an embodiment of the present invention
  • FIG. 2 is a screen shot of an exemplary web page when implementing an embodiment of the present invention
  • FIG. 3 is a flowchart of an exemplary process for tailoring advertisements to a web page at a time of delivery when practicing an embodiment of the present invention
  • FIG. 4 is a flowchart of an exemplary process for determining how an ad is to appear in a web page when practicing an embodiment of the present invention
  • FIG. 5 is a flowchart of another exemplary process for determining an ad for display in a web page when practicing an embodiment of the present invention.
  • Embodiments of the present invention provide media and system for tailoring advertisements to a web page at a time of delivery, for determining how an ad is to appear in a web page, and for determining an ad for display in a web page.
  • Many different arrangements of the various components depicted, as well as components not shown, are possible without departing from the spirit and scope of the present invention.
  • Embodiments of the present invention will be described with the intent to be illustrative rather than restrictive. Alternative embodiments will become apparent to those skilled in the art. A skilled artisan may develop alternative means of implementing improvements without departing from the scope of the present invention. Acronyms and Shorthand Notations
  • embodiments of the present invention may be embodied as, among other things: a method, system, or computer- program product. Accordingly, the embodiments may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware. In one embodiment, the present invention takes the form of a computer- program product that includes computer-useable instructions embodied on one or more computer-readable media.
  • Computer-readable media include both volatile and nonvolatile media, removable and nonremovable media, and contemplates media readable by a database, a switch, and various other network devices. Network switches, routers, and related components are conventional in nature, as are means of communicating with the same.
  • Computer-readable media comprise computer-storage media and communications media.
  • Computer-storage media, or machine-readable media include media implemented in any method or technology for storing information. Examples of stored information include computer-useable instructions, data structures, program modules, and other data representations.
  • Computer-storage media include, but are not limited to RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile discs (DVD), holographic media or other optical disc storage, magnetic cassettes, magnetic tape, magnetic disk storage, and other magnetic storage devices. These memory components can store data momentarily, temporarily, or permanently.
  • Communications media typically store computer-useable instructions - including data structures and program modules - in a modulated data signal.
  • modulated data signal refers to a propagated signal that has one or more of its characteristics set or changed to encode information in the signal.
  • An exemplary modulated data signal includes a carrier wave or other transport mechanism.
  • Communications media include any information-delivery media.
  • communications media include wired media, such as a wired network or direct-wired connection, and wireless media such as acoustic, infrared, radio, microwave, spread-spectrum, and other wireless media technologies. Combinations of the above are included within the scope of computer-readable media.
  • an advertisement can be customized at a time of delivery to a web page rather than be predefined in advance.
  • the customization can take various features of the web page into consideration in order to create an advertisement as indicated in the following manner.
  • advertisements are tailored to a web page at a time of delivery.
  • Words are evaluated in the web page to determine separately a product for advertising.
  • Sentiments are determined about the product from an evaluation of the words.
  • An extracted summary or a descriptive summary is created based on the sentiments. Either the extracted summary or the descriptive summary is placed into a template to form an advertisement focused on the product.
  • the advertisement is rendered in the web page.
  • a determination is made how an ad is to appear in a web page.
  • text is evaluated that discusses a product. The text is grouped into blocks where the blocks discuss the product.
  • Each of the blocks is classified as having a positive sentiment, a negative sentiment, or a neutral sentiment for the product or an aspect of the product.
  • a determination is made whether the ad is to be placed in the web page based on sentiments assigned to the blocks. If the ad is to be placed in the web page, the ad is created with words from the text of the web page. The ad is rendered in the web page.
  • a system having a computer with a processor and a memory, to determine an ad for display in a web page includes determining a set of advertisers that desire to place ads in the web page.
  • the advertisers provide a name of a product, a link to a product web page of the product, and keywords associated with the product.
  • a first subset of the set of advertisers is determined based on at least an amount paid by an advertiser to display the ad, a probability of the ad being selected by a user, or a relevance of the keywords to the web page.
  • a second subset of the set of advertisers is determined from the first subset based on an evaluation of the web page. Sentiments about products or an aspect of the products are determined from the evaluation.
  • the advertiser is selected where the sentiments are positive about the product or the aspect of the product of the advertiser.
  • the ad for the advertiser is created with words in the web page.
  • the ad is rendered in the web page.
  • FIG. 1 an exemplary web page 100 is shown.
  • Web page 100 is an illustration when not implementing an embodiment of the present invention.
  • Web page 100 can be any web page that is accessed at a display by a user with a connection to the Internet.
  • the information indicated in web page 100 is exemplary and can be different types of information that show among other things, other products, services, or types of information where a user accesses the Internet.
  • information is provided for products and services for Zune which is manufactured by Microsoft Corporation of Redmond, Washington.
  • the text that is shown in web page 100 focuses on applications involving the Zune product. As one can see in web page 100, several paragraphs are provided regarding the Zune product and the Zune social application program. [0024] Turning now to FIG.
  • an exemplary web page 200 is shown illustrating an implementation of an embodiment of the present invention.
  • a block of text 205 is shown which discusses the Zune product and other information.
  • another block of text 210 is shown in a separate paragraph from the text 205.
  • text 205 and text 210 are analyzed in the present invention to determine the sentiment of the text.
  • an embodiment analyzes the various words to determine whether the sentiment is positive, negative, or neutral. This analysis can be performed with various algorithms including a natural language processing algorithm.
  • the embodiment can determine an overall sentiment for the entire web page or can be determined for each text 205 and text 210.
  • text 205 and text 210 are viewed as having both positive sentiments.
  • an embodiment of the present invention searches for words or phrases to create an extracted summary or a descriptive summary. These summaries are used to create the ad that will be rendered in web page 200.
  • a word 215 is selected in text 205 and a word 220 is selected in text 210.
  • Word 215 indicates the word "buy” and word 220 indicates the word "Zune.” Both words are used in the impending ad that will be created.
  • Words or phrases are taken and placed in the ad as illustrated by ad 225.
  • Ad 225 is created upon the delivery of the web page to the user at their computing device. Ad 225 is created once the web page is accessed rather than being created in advance.
  • ad 225 is created from several information. It contains a photograph of the Zune player. Underneath the photograph, it includes the words "buy Zune" which are taken from words 215 and 220. It contains a URL that can be selected by the user.
  • ad 225 can be created in real time and placed directly in web page 200.
  • ad 225 may be created wherein the information from words 215 and 220 are placed within a predetermined template provided by an advertiser where the resulting ad template is filled in and then rendered in web page 200. [0027] Although words 215 and 220 are selected to create ad 225, words 215 and
  • a descriptive summary can also be created.
  • the descriptive summary is a variety of words and phrases that are selected and reformed to provide advertising information that can be placed in ad 225. For example, several words or phrases from text 225 or text 210 can be selected and then reformulated to illustrate a slogan to purchase the product, to promote the product, or to indicate where to purchase the product. The information can then be provided to a template to create the ad such as ad 225.
  • the location of ad 225 can vary according to the desires of the implementer.
  • ad 225 is placed directly under another photograph that was previously rendered in web page 100.
  • the location of ad 225 was directly under the photograph that is already illustrated in web page 100, ad 225 can also be located in another position.
  • the ad can be located in proximity or near the text of information where the sentiment is positive. Or, a decision can be made in an implementation of the embodiment not to show an ad at all. For example, if the overall sentiment is negative then a decision may be made not to show an ad from a particular manufacturer or advertiser. Furthermore, if the overall sentiment is negative or neutral, a decision may be made to show a competitive product in place of the original intended product.
  • a process for tailoring advertisement to a web page at a time of delivery is shown in a method 300.
  • words are evaluated in a web page to determine a product for advertising.
  • words 215 and 220 are selected from text 205 and text 210.
  • the words in text 205 and text 210 are evaluated to come up with words 215 and 220.
  • Word 215 indicated "buy” and word 220 indicated "Zune.”
  • sentiments are determined about the product from an evaluation of the words in text 205 and text 210. As discussed above, sentiment can be based on each block of text or the sentiment can be based on the overall web page.
  • a step 330 either an extracted summary or a descriptive summary is created based on the sentiment.
  • the extracted summary or the descriptive summary provides a basis for providing text for the ad that is to be created.
  • a step 340 either the extracted summary or the descriptive summary is placed into a template to form an advertisement focused on the product.
  • the ad is rendered in the web page 200 as ad 225 which is a step 350.
  • FIG. 4 a process for determining how an ad is to appear in a web page is shown in a method 400.
  • a step 410 text is evaluated that discussed a product. This evaluation occurs in the web page in a step 420.
  • each block of text is classified as having a positive sentiment, a negative sentiment, or a neutral sentiment for the product or an aspect of the product.
  • sentiment can be based on the product in general or on an aspect of the product.
  • information may discuss a particular feature of a camera such as the types of lens, the quality of the lens, or the strength of the lens.
  • information may be written that discusses the warranty provisions for a manufacturer, the quality of that warranty, or the ease in obtaining warranty services. These items are considered objects or aspects of the product and not the actual product itself.
  • a sentiment can be generated.
  • a determination is made whether an ad is to be placed in the web page based on the sentiments that have been assigned to the blocks of text.
  • a process for determining an ad for display in a web page is shown in a method 500.
  • advertisers start the process with a determination for their desire to place ads in the web page. This desire and determination can take on many forms.
  • One such form is having advertisers submit their ads to an ad service.
  • the ad service manages and operates a program whereby ads are rendered into various web pages. Typically, the ad service takes ads from advertisers or manufacturers and based on certain criteria renders the ads into various web pages.
  • a first subset of the advertisers are determined based on the amount paid by an advertiser to display their ad, a probability of the ad being selected by a user, or the relevance of the key words.
  • Step 520 is indicative of the process that is followed for the auctioning of ads. For example, to gain a better understanding, advertisers vie for having their ads placed in web pages. This activity is usually called an auction since there are limited space on a web page with limited time to display the ad.
  • ten advertisers which are representing ten manufacturers, may desire to advertise on a particular web site. Those advertisers pay a fee or indicate to the ad service the amount of monies they are willing to pay for their ad to be shown.
  • the highest bidder has an opportunity to get their ad placed in the particular desired web page.
  • the ad service may also have or may determine other factors such as the probability of a particular ad being selected by a user. For example, if one of the advertisers is a travel company and the web page is a travel web site, the probability is higher that a user or the user will select the ad rendered by the travel company.
  • the ad service may also determine another factor in selecting an advertiser to render their ad on the web page based on how relevant a keyword is to the particular web page.
  • advertisers provide certain keywords to the ad service.
  • a camera company can provide several keywords about their particular camera product. So, whenever a web site has information containing the keyword, that particular advertiser for the camera company becomes a candidate for having their information about their camera product displayed as an ad in the particular web page.
  • the travel company may submit a keyword such as "Hawaii”, “resort”, or "airfare”. Those three key words are relevant to the travel industry and may result in a higher probability that the travel company's ad may be selected for rendering in the travel web site.
  • the advertiser no longer provides an ad to the ad service, but as shown in a step 530, a second subset of the advertisers are determined based on an evaluation of the web page. This evaluation is based on determining sentiments as shown by text 205 and text 210 in FIG. 2. In a step 540, the advertiser is selected.
  • ad is created for the advertisers from words in the web page. As shown in FIG. 2, words 215 and 220 provide the words to help create ad 225. In a step 560, the ad is rendered in web page 200.
  • the prior discussion is only for illustrative purposes to convey exemplary embodiments. The steps discussed in FIGS. 3-5 may be executed without regards to order. Some steps may be omitted and some steps may be executed at a different time than shown. For example, step 530 may be executed before step 520. The point here is to convey that the figures are merely exemplary for the embodiments of the present invention and that other embodiments may be implemented for the present invention. [0039] It will be understood that certain features and subcombinations are of utility and may be employed without reference to other features and subcombinations and are contemplated within the scope of the claims. Not all steps listed in the various figures need be carried out in the specific order described.

Landscapes

  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Transfer Between Computers (AREA)
  • Document Processing Apparatus (AREA)
  • Machine Translation (AREA)
PCT/US2009/034207 2008-03-28 2009-02-16 Automatic customization and rendering of ads based on detected features in a web page WO2009120426A2 (en)

Priority Applications (8)

Application Number Priority Date Filing Date Title
EP09724419A EP2257926A4 (en) 2008-03-28 2009-02-16 AUTOMATIC CUSTOMIZATION AND DISPLAY OF ADVERTISING BASED ON CHARACTERISTICS DETECTED IN A WEB PAGE
MX2010010507A MX339051B (es) 2008-03-28 2009-02-16 Adaptacion automatica y presentacion de anuncios basandose en caracteristicas detectadas en una pagina web.
BRPI0908275-1A BRPI0908275A2 (pt) 2008-03-28 2009-02-16 Personalização e renderização automática de anúncios com base em recursos detectados em uma página da rede
JP2011501857A JP5536029B2 (ja) 2008-03-28 2009-02-16 ウェブ・ページ上で検出した特徴に基づく広告の自動カスタム化およびレンダリング
AU2009229120A AU2009229120B2 (en) 2008-03-28 2009-02-16 Automatic customization and rendering of ads based on detected features in a web page
CN2009801119373A CN101981588A (zh) 2008-03-28 2009-02-16 基于网页中检测到的特征对广告的自动定制和呈现
CA2716491A CA2716491A1 (en) 2008-03-28 2009-02-16 Automatic customization and rendering of ads based on detected features in a web page
ZA2010/05927A ZA201005927B (en) 2008-03-28 2010-08-19 Automatic customization and rendering of ads based on detected features in a web page

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US12/057,871 2008-03-28
US12/057,871 US20090248484A1 (en) 2008-03-28 2008-03-28 Automatic customization and rendering of ads based on detected features in a web page

Publications (2)

Publication Number Publication Date
WO2009120426A2 true WO2009120426A2 (en) 2009-10-01
WO2009120426A3 WO2009120426A3 (en) 2009-11-19

Family

ID=41114561

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2009/034207 WO2009120426A2 (en) 2008-03-28 2009-02-16 Automatic customization and rendering of ads based on detected features in a web page

Country Status (13)

Country Link
US (1) US20090248484A1 (enIt.pdf)
EP (1) EP2257926A4 (enIt.pdf)
JP (2) JP5536029B2 (enIt.pdf)
KR (1) KR101600640B1 (enIt.pdf)
CN (1) CN101981588A (enIt.pdf)
AU (1) AU2009229120B2 (enIt.pdf)
BR (1) BRPI0908275A2 (enIt.pdf)
CA (1) CA2716491A1 (enIt.pdf)
MX (1) MX339051B (enIt.pdf)
MY (1) MY154130A (enIt.pdf)
RU (1) RU2010139641A (enIt.pdf)
WO (1) WO2009120426A2 (enIt.pdf)
ZA (1) ZA201005927B (enIt.pdf)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011079311A1 (en) 2009-12-24 2011-06-30 Minh Duong-Van System and method for determining sentiment expressed in documents
CN103324622A (zh) * 2012-03-21 2013-09-25 北京百度网讯科技有限公司 一种自动生成首页摘要的方法及装置

Families Citing this family (43)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5309126B2 (ja) 2007-03-29 2013-10-09 ニューロフォーカス・インコーポレーテッド マーケティング及びエンタテインメントの効率解析を行うシステム、方法、及び、装置
US8392253B2 (en) 2007-05-16 2013-03-05 The Nielsen Company (Us), Llc Neuro-physiology and neuro-behavioral based stimulus targeting system
JP5542051B2 (ja) 2007-07-30 2014-07-09 ニューロフォーカス・インコーポレーテッド 神経応答刺激及び刺激属性共鳴推定を行うシステム、方法、及び、装置
US8386313B2 (en) 2007-08-28 2013-02-26 The Nielsen Company (Us), Llc Stimulus placement system using subject neuro-response measurements
US8392255B2 (en) 2007-08-29 2013-03-05 The Nielsen Company (Us), Llc Content based selection and meta tagging of advertisement breaks
US7870131B2 (en) * 2007-12-13 2011-01-11 Yahoo!, Inc. Mitigation of search engine hijacking
WO2009144698A1 (en) * 2008-05-26 2009-12-03 Kenshoo Ltd. A system for finding website invitation cueing keywords and for attribute-based generation of invitation-cueing instructions
US20100250325A1 (en) 2009-03-24 2010-09-30 Neurofocus, Inc. Neurological profiles for market matching and stimulus presentation
US8655437B2 (en) 2009-08-21 2014-02-18 The Nielsen Company (Us), Llc Analysis of the mirror neuron system for evaluation of stimulus
US10987015B2 (en) 2009-08-24 2021-04-27 Nielsen Consumer Llc Dry electrodes for electroencephalography
US9560984B2 (en) 2009-10-29 2017-02-07 The Nielsen Company (Us), Llc Analysis of controlled and automatic attention for introduction of stimulus material
US8209224B2 (en) * 2009-10-29 2012-06-26 The Nielsen Company (Us), Llc Intracluster content management using neuro-response priming data
US20110106750A1 (en) 2009-10-29 2011-05-05 Neurofocus, Inc. Generating ratings predictions using neuro-response data
US8996986B2 (en) * 2010-01-11 2015-03-31 Ensighten, Inc. Enhanced delivery of content and program instructions
US9268547B2 (en) 2010-01-11 2016-02-23 Ensighten, Inc. Conditional logic for delivering computer-executable program instructions and content
US20110246277A1 (en) * 2010-03-30 2011-10-06 Intuit Inc. Multi-factor promotional offer suggestion
WO2011133548A2 (en) 2010-04-19 2011-10-27 Innerscope Research, Inc. Short imagery task (sit) research method
US8655428B2 (en) 2010-05-12 2014-02-18 The Nielsen Company (Us), Llc Neuro-response data synchronization
US8392250B2 (en) 2010-08-09 2013-03-05 The Nielsen Company (Us), Llc Neuro-response evaluated stimulus in virtual reality environments
US8392251B2 (en) 2010-08-09 2013-03-05 The Nielsen Company (Us), Llc Location aware presentation of stimulus material
US8396744B2 (en) 2010-08-25 2013-03-12 The Nielsen Company (Us), Llc Effective virtual reality environments for presentation of marketing materials
JP5535022B2 (ja) * 2010-09-30 2014-07-02 ニフティ株式会社 広告文作成支援システム
WO2012075277A2 (en) * 2010-12-01 2012-06-07 Novomer, Inc. Synthetic methods
US9003552B2 (en) 2010-12-30 2015-04-07 Ensighten, Inc. Online privacy management
CN103403685B (zh) 2010-12-30 2015-05-13 艾新顿公司 在线隐私管理
US8442500B2 (en) * 2011-06-21 2013-05-14 Qualcomm Incorporated Relevant content delivery
US20130054354A1 (en) * 2011-08-29 2013-02-28 Microsoft Corporation Generating advertisements from electronic communications
US9165308B2 (en) 2011-09-20 2015-10-20 TagMan Inc. System and method for loading of web page assets
US9495661B2 (en) * 2011-09-26 2016-11-15 Sparxo, Inc Embeddable context sensitive chat system
US20130085845A1 (en) * 2011-10-04 2013-04-04 Yahoo! Inc. Facilitating deal comparison and advertising in association with emails
US9569986B2 (en) 2012-02-27 2017-02-14 The Nielsen Company (Us), Llc System and method for gathering and analyzing biometric user feedback for use in social media and advertising applications
US8989835B2 (en) 2012-08-17 2015-03-24 The Nielsen Company (Us), Llc Systems and methods to gather and analyze electroencephalographic data
CN102825997B (zh) * 2012-08-28 2015-03-11 天津博信汽车零部件有限公司 预安装天窗总成的支架及汽车天窗
US9317490B2 (en) 2012-09-19 2016-04-19 TagMan Inc. Systems and methods for 3-tier tag container architecture
US20140244405A1 (en) * 2013-02-28 2014-08-28 OneSpot, Inc. Automatic Generation of Digital Advertisements
US9320450B2 (en) 2013-03-14 2016-04-26 The Nielsen Company (Us), Llc Methods and apparatus to gather and analyze electroencephalographic data
US10832289B2 (en) 2013-06-14 2020-11-10 Oath Inc. Systems and methods for providing and using an internet sentiment index
US9622702B2 (en) 2014-04-03 2017-04-18 The Nielsen Company (Us), Llc Methods and apparatus to gather and analyze electroencephalographic data
US9710449B2 (en) * 2014-06-20 2017-07-18 Adobe Systems Incorporated Targeted social campaigning based on user sentiment on competitors' webpages
US9553918B1 (en) 2014-11-26 2017-01-24 Ensighten, Inc. Stateful and stateless cookie operations servers
US9219787B1 (en) 2014-11-26 2015-12-22 Ensighten, Inc. Stateless cookie operations server
US9936250B2 (en) 2015-05-19 2018-04-03 The Nielsen Company (Us), Llc Methods and apparatus to adjust content presented to an individual
JP6429818B2 (ja) * 2016-03-17 2018-11-28 ヤフー株式会社 判定装置、および判定方法

Family Cites Families (43)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7526466B2 (en) * 1998-05-28 2009-04-28 Qps Tech Limited Liability Company Method and system for analysis of intended meaning of natural language
US7103904B1 (en) * 1999-06-30 2006-09-05 Microsoft Corporation Methods and apparatus for broadcasting interactive advertising using remote advertising templates
WO2001042998A1 (en) * 1999-12-06 2001-06-14 Ewt Trade And Business Consultants Nz Limited Placing advertisements in publications
AU2582401A (en) * 1999-12-17 2001-06-25 Dorado Network Systems Corporation Purpose-based adaptive rendering
US20010049635A1 (en) * 2000-03-01 2001-12-06 Peoplepublish, Inc. User interface and associated data source
US7130837B2 (en) * 2002-03-22 2006-10-31 Xerox Corporation Systems and methods for determining the topic structure of a portion of text
US20060026067A1 (en) * 2002-06-14 2006-02-02 Nicholas Frank C Method and system for providing network based target advertising and encapsulation
US8140965B2 (en) * 2003-02-28 2012-03-20 Google, Inc. Identifying related information given content and/or presenting related information in association with content-related advertisements
US7840448B2 (en) * 2003-05-07 2010-11-23 Cbs Interactive Inc. System and method for automatically generating a narrative product summary
US8200477B2 (en) * 2003-10-22 2012-06-12 International Business Machines Corporation Method and system for extracting opinions from text documents
JP3962382B2 (ja) * 2004-02-20 2007-08-22 インターナショナル・ビジネス・マシーンズ・コーポレーション 表現抽出装置、表現抽出方法、プログラム及び記録媒体
JP2005242711A (ja) * 2004-02-26 2005-09-08 Value Commerce Co Ltd 広告配信管理ネットワークシステム
WO2006039566A2 (en) * 2004-09-30 2006-04-13 Intelliseek, Inc. Topical sentiments in electronically stored communications
US20060074751A1 (en) * 2004-10-01 2006-04-06 Reachlocal, Inc. Method and apparatus for dynamically rendering an advertiser web page as proxied web page
JP4293145B2 (ja) * 2005-03-04 2009-07-08 日本電信電話株式会社 クチコミ情報判定方法及び装置及びプログラム
US8103445B2 (en) * 2005-04-21 2012-01-24 Microsoft Corporation Dynamic map rendering as a function of a user parameter
US20070162396A1 (en) * 2005-06-13 2007-07-12 Inform Technologies, Llc Determining Advertising Placement on Preprocessed Content
US7975020B1 (en) * 2005-07-15 2011-07-05 Amazon Technologies, Inc. Dynamic updating of rendered web pages with supplemental content
WO2007092050A2 (en) * 2005-08-26 2007-08-16 Spot Runner, Inc. Systems and methods for media planning, ad production, ad placement and content customization
US20070050389A1 (en) * 2005-09-01 2007-03-01 Opinmind, Inc. Advertisement placement based on expressions about topics
WO2007062140A2 (en) * 2005-11-25 2007-05-31 Ineomarketing, Inc. System and method for generating, maintaining, and rendering landing and web pages
US20070124762A1 (en) * 2005-11-30 2007-05-31 Microsoft Corporation Selective advertisement display for multimedia content
US7461033B1 (en) * 2005-12-22 2008-12-02 Sprint Communications Company L.P. Computation linguistics engine
JP2007179276A (ja) * 2005-12-27 2007-07-12 Internatl Business Mach Corp <Ibm> 適合判定方法、装置、およびプログラム
JP4743766B2 (ja) * 2006-02-28 2011-08-10 株式会社ヴァリアスデザイン 印象判定システム、広告記事生成システム、印象判定方法、広告記事生成方法、印象判定プログラムおよび広告記事生成プログラム
US20070223039A1 (en) * 2006-03-21 2007-09-27 Efficient Frontier Optimization of ad selection and/or placement in media objects
KR100702667B1 (ko) * 2006-05-19 2007-04-02 주식회사 데이타웨이브 시스템 삽입 모듈을 이용한 웹 서비스 시스템 및 방법
US20070276728A1 (en) * 2006-05-26 2007-11-29 Microsoft Corporation Software applications with embedded advertisements
US8001105B2 (en) * 2006-06-09 2011-08-16 Ebay Inc. System and method for keyword extraction and contextual advertisement generation
US20080004956A1 (en) * 2006-06-28 2008-01-03 Andrew Ian Atherton System and method for generating graphical advertisements based on text offers
US7464003B2 (en) * 2006-08-24 2008-12-09 Skygrid, Inc. System and method for change detection of information or type of data
JP4744404B2 (ja) * 2006-09-13 2011-08-10 C2cube株式会社 評価出力装置、評価出力方法、およびプログラム
US7647351B2 (en) * 2006-09-14 2010-01-12 Stragent, Llc Web scrape template generation
US7930302B2 (en) * 2006-11-22 2011-04-19 Intuit Inc. Method and system for analyzing user-generated content
US8650265B2 (en) * 2007-02-20 2014-02-11 Yahoo! Inc. Methods of dynamically creating personalized Internet advertisements based on advertiser input
US20080249764A1 (en) * 2007-03-01 2008-10-09 Microsoft Corporation Smart Sentiment Classifier for Product Reviews
US20090048823A1 (en) * 2007-08-16 2009-02-19 The Board Of Trustees Of The University Of Illinois System and methods for opinion mining
US7987188B2 (en) * 2007-08-23 2011-07-26 Google Inc. Domain-specific sentiment classification
US8417713B1 (en) * 2007-12-05 2013-04-09 Google Inc. Sentiment detection as a ranking signal for reviewable entities
US8010539B2 (en) * 2008-01-25 2011-08-30 Google Inc. Phrase based snippet generation
US8452790B1 (en) * 2008-06-13 2013-05-28 Ustringer LLC Method and apparatus for distributing content
US8103553B2 (en) * 2009-06-06 2012-01-24 Bullock Roddy Mckee Method for making money on internet news sites and blogs
US8396820B1 (en) * 2010-04-28 2013-03-12 Douglas Rennie Framework for generating sentiment data for electronic content

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See references of EP2257926A4 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011079311A1 (en) 2009-12-24 2011-06-30 Minh Duong-Van System and method for determining sentiment expressed in documents
EP2517156A4 (en) * 2009-12-24 2018-02-14 Moodwire, Inc. System and method for determining sentiment expressed in documents
CN103324622A (zh) * 2012-03-21 2013-09-25 北京百度网讯科技有限公司 一种自动生成首页摘要的方法及装置

Also Published As

Publication number Publication date
EP2257926A2 (en) 2010-12-08
JP2011519444A (ja) 2011-07-07
KR20100135761A (ko) 2010-12-27
CN101981588A (zh) 2011-02-23
MX339051B (es) 2016-05-06
JP5695770B2 (ja) 2015-04-08
KR101600640B1 (ko) 2016-03-08
JP2014123396A (ja) 2014-07-03
WO2009120426A3 (en) 2009-11-19
AU2009229120B2 (en) 2014-05-08
CA2716491A1 (en) 2009-10-01
JP5536029B2 (ja) 2014-07-02
RU2010139641A (ru) 2012-04-10
BRPI0908275A2 (pt) 2015-07-21
MX2010010507A (es) 2010-10-26
ZA201005927B (en) 2011-11-30
US20090248484A1 (en) 2009-10-01
MY154130A (en) 2015-05-15
AU2009229120A1 (en) 2009-10-01
EP2257926A4 (en) 2013-01-09

Similar Documents

Publication Publication Date Title
AU2009229120B2 (en) Automatic customization and rendering of ads based on detected features in a web page
US9563826B2 (en) Techniques for rendering advertisements with rich media
CA2592742C (en) Improving advertisement approval
US10192238B2 (en) Real-time bidding and advertising content generation
US10043191B2 (en) System and method for online product promotion
US20130066716A1 (en) Sentiment-targeting for online advertisement
AU2017203306A1 (en) Ad-words optimization based on performance across multiple channels
US20110219015A1 (en) Searching method using extended keyword pool and system thereof
US20080082410A1 (en) Dynamic generation of advertisement text
JP5882454B2 (ja) キャンペーンから欠落している言語を識別すること
WO2011146860A2 (en) Contextual content items for mobile applications
US20130159092A1 (en) System and method for efficient ranking in online advertising by shaping relevance scores
US20130080247A1 (en) Ad Placement
US20140074608A1 (en) Rapid identification of search terms that surge in response to current events
KR101441164B1 (ko) 오브젝트 커스터마이제이션 및 관리 시스템
US9792371B1 (en) Automatic synthesis and evaluation of content
US20120173331A1 (en) Hint-Enabled Search Advertisements
US20140012671A1 (en) Content-based targeted online advertisement
US8631030B1 (en) Query suggestions with high diversity
US20210133830A1 (en) Overlaying content items with third-party reviews
US9152634B1 (en) Balancing content blocks associated with queries
US20150066659A1 (en) Ranking Content Items Based on a Value of Learning
US20140310093A1 (en) Dynamic reallocation of content item blocks
US9378191B1 (en) Promoting content
US11776026B1 (en) Virtual newsroom system and method thereof

Legal Events

Date Code Title Description
WWE Wipo information: entry into national phase

Ref document number: 200980111937.3

Country of ref document: CN

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 09724419

Country of ref document: EP

Kind code of ref document: A2

WWE Wipo information: entry into national phase

Ref document number: 2009724419

Country of ref document: EP

WWE Wipo information: entry into national phase

Ref document number: 2716491

Country of ref document: CA

WWE Wipo information: entry into national phase

Ref document number: 5586/CHENP/2010

Country of ref document: IN

WWE Wipo information: entry into national phase

Ref document number: MX/A/2010/010507

Country of ref document: MX

ENP Entry into the national phase

Ref document number: 20107021478

Country of ref document: KR

Kind code of ref document: A

WWE Wipo information: entry into national phase

Ref document number: 2009229120

Country of ref document: AU

Ref document number: PI 2010004178

Country of ref document: MY

Ref document number: 2010139641

Country of ref document: RU

WWE Wipo information: entry into national phase

Ref document number: 2011501857

Country of ref document: JP

NENP Non-entry into the national phase

Ref country code: DE

ENP Entry into the national phase

Ref document number: 2009229120

Country of ref document: AU

Date of ref document: 20090216

Kind code of ref document: A

ENP Entry into the national phase

Ref document number: PI0908275

Country of ref document: BR

Kind code of ref document: A2

Effective date: 20100826