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    • 1. 发明申请
    • INTELLIGENT INFORMATION DISPLAY
    • 智能信息显示
    • US20080262909A1
    • 2008-10-23
    • US11736831
    • 2007-04-18
    • Li LiRobert A. SimTarek NajmYing LiYi Chen
    • Li LiRobert A. SimTarek NajmYing LiYi Chen
    • G06Q30/00
    • G06Q30/02G06Q30/0251G06Q30/0272
    • Computer-readable media, systems, and methods for intelligent information display are described. In embodiments, a display environment is monitored for one or more audience data and, upon receiving the one or more audience data, display information is processed in accordance with the one or more audience data and the processed display information is presented. In various embodiments, the audience data includes user gestures that indicate a communication with the intelligent information display, such as gestures indicating a mouse motion or a mouse click. In various other embodiments, the audience data includes demographic indicia such as the typical gender and/or typical age of an audience in a display environment.
    • 描述了用于智能信息显示的计算机可读介质,系统和方法。 在实施例中,监视一个或多个观众数据的显示环境,并且在接收到一个或多个观众数据时,根据一个或多个观众数据处理显示信息,并且呈现处理过的显示信息。 在各种实施例中,观众数据包括指示与智能信息显示器的通信的用户手势,诸如指示鼠标移动或鼠标点击的手势。 在各种其他实施例中,观众数据包括人口统计学标记,例如显示环境中观众的典型性别和/或典型年龄。
    • 2. 发明授权
    • Advertising keyword cross-selling
    • 广告关键字交叉销售
    • US07788131B2
    • 2010-08-31
    • US11300918
    • 2005-12-15
    • Shuzhen NongYing LiTarek NajmLi LiHua-Jun ZengZheng ChenBenyu Zhang
    • Shuzhen NongYing LiTarek NajmLi LiHua-Jun ZengZheng ChenBenyu Zhang
    • G06Q30/00
    • G06Q30/02G06F17/30864G06Q30/0251G06Q30/0275
    • Seed keywords are leveraged to provide expanded keywords that are then associated with relevant advertisers. Instances can also include locating potential advertisers based on the expanded keywords. Inverse lookup techniques are employed to determine which keywords are associated with an advertiser. Filtering can then be employed to eliminate inappropriate keywords for that advertiser. The keywords are then automatically revealed to the advertiser for consideration as relevant search terms for their advertisements. In this manner, revenue for a search engine and/or for an advertiser can be substantially enhanced through the automatic expansion of relevant search terms. Advertisers also benefit by having larger and more relevant search term selections automatically available to them, saving them both time and money.
    • 使用种子关键字来提供扩展的关键字,然后与相关的广告商相关联。 实例还可以包括根据扩展的关键字定位潜在的广告客户。 采用反向查找技术来确定哪些关键字与广告商相关联。 然后可以使用过滤来消除该广告客户的不合适的关键字。 然后,这些关键字会自动向广告客户显示,作为其广告的相关搜索字词。 以这种方式,可以通过自动扩展相关搜索词来大大增强搜索引擎和/或广告商的收入。 广告商也可以通过自动获得更大更多相关的搜索词选项来获益,从而节省时间和金钱。
    • 7. 发明授权
    • Verifying relevance between keywords and web site contents
    • 验证关键字和网站内容之间的相关性
    • US07260568B2
    • 2007-08-21
    • US10826162
    • 2004-04-15
    • Benyu ZhangHua-Jun ZengZheng ChenWei-Ying MaLi LiYing LiTarek Najm
    • Benyu ZhangHua-Jun ZengZheng ChenWei-Ying MaLi LiYing LiTarek Najm
    • G06F17/30
    • G06F17/30687G06F17/30663Y10S707/99933Y10S707/99934Y10S707/99935
    • Systems and methods for verifying relevance between terms and Web site contents are described. In one aspect, site contents from a bid URL are retrieved. Expanded term(s) semantically and/or contextually related to bid term(s) are calculated. Content similarity and expanded similarity measurements are calculated from respective combinations of the bid term(s), the site contents, and the expanded terms. Category similarity measurements between the expanded terms and the site contents are determined in view of a trained similarity classifier. The trained similarity classifier having been trained from mined web site content associated with directory data. A confidence value providing an objective measure of relevance between the bid term(s) and the site contents is determined from the content, expanded, and category similarity measurements evaluating the multiple similarity scores in view of a trained relevance classifier model.
    • 描述了用于验证术语和网站内容之间的相关性的系统和方法。 一方面,检索出价网址中的网站内容。 计算语法上和/或与投标期相关的扩展术语。 内容相似性和扩展的相似度测量是根据投标条件,站点内容和扩展条款的各自组合计算的。 考虑到经过训练的相似性分类器,确定扩展术语和站点内容之间的类别相似度测量。 经过训练的相似性分类器已经从与目录数据相关联的挖掘的网站内容训练。 考虑到训练有素的相关性分类器模型,从评估多重相似度分数的内容,扩展和类别相似度测度中确定提供投标项和站点内容之间的相关性的客观量度的置信度值。
    • 10. 发明申请
    • Advertising keyword cross-selling
    • 广告关键字交叉销售
    • US20070143176A1
    • 2007-06-21
    • US11300918
    • 2005-12-15
    • Shuzhen NongYing LiTarek NajmLi LiHua-Jun ZengZheng ChenBenyu Zhang
    • Shuzhen NongYing LiTarek NajmLi LiHua-Jun ZengZheng ChenBenyu Zhang
    • G06Q30/00
    • G06Q30/02G06F17/30864G06Q30/0251G06Q30/0275
    • Seed keywords are leveraged to provide expanded keywords that are then associated with relevant advertisers. Instances can also include locating potential advertisers based on the expanded keywords. Inverse lookup techniques are employed to determine which keywords are associated with an advertiser. Filtering can then be employed to eliminate inappropriate keywords for that advertiser. The keywords are then automatically revealed to the advertiser for consideration as relevant search terms for their advertisements. In this manner, revenue for a search engine and/or for an advertiser can be substantially enhanced through the automatic expansion of relevant search terms. Advertisers also benefit by having larger and more relevant search term selections automatically available to them, saving them both time and money.
    • 使用种子关键字来提供扩展的关键字,然后与相关的广告商相关联。 实例还可以包括根据扩展的关键字定位潜在的广告客户。 采用反向查找技术来确定哪些关键字与广告商相关联。 然后可以使用过滤来消除该广告客户的不合适的关键字。 然后,这些关键字会自动向广告客户显示,作为其广告的相关搜索字词。 以这种方式,可以通过自动扩展相关搜索词来大大增强搜索引擎和/或广告商的收入。 广告商也可以通过自动获得更大更多相关的搜索词选项来获益,从而节省时间和金钱。