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    • 41. 发明授权
    • Peer-to-peer advertisement platform
    • 对等广告平台
    • US08548853B2
    • 2013-10-01
    • US11147247
    • 2005-06-08
    • Benyu ZhangFengping ZengHua-Jun ZengLi LiTarek NajmWei-Ying MaYing LiZheng Chen
    • Benyu ZhangFengping ZengHua-Jun ZengLi LiTarek NajmWei-Ying MaYing LiZheng Chen
    • G06Q30/00
    • G06Q30/02G06Q30/0207G06Q30/0247G06Q30/0251
    • A peer-to-peer advertisement platform is provided to ubiquitously promote products or services supplied by advertisers across content-based applications executing on nodes in a peer-to-peer network. The peer-to-peer advertisement platform may include a registration component to register nodes in the peer-to-peer advertising platform, an advertisement submission component to receive advertisement data from the advertisers, and a distribution component to distribute the advertisement data to the nodes registered in the peer-to-peer advertisement platform. The peer-to-peer advertisement platform also includes a money sharing component to reward nodes based on a contribution level assigned to the node. Accordingly, the peer-to-peer advertisement platform stores the advertisement data locally at the plurality of nodes registered in the peer-to-peer advertising platform and shares a portion of the revenue generated from the advertisement data with the nodes registered in the peer-to-peer advertising platform.
    • 提供了一个对等广告平台,无处不在地促进广告商提供的产品或服务,基于在对等网络中的节点上执行的基于内容的应用程序。 点对点广告平台可以包括注册组件以注册对等广告平台中的节点,用于从广告商接收广告数据的广告提交组件以及将广告数据分发到节点的分发组件 注册在对等广告平台。 点对点广告平台还包括基于分配给节点的贡献级别来奖励节点的钱共享组件。 因此,点对点广告平台将广告数据本地存储在登记在对等广告平台中的多个节点处,并且共享从广告数据生成的收入的一部分, 对等广告平台。
    • 42. 发明申请
    • METHODS, APPARATUS AND SYSTEMS FOR PROVIDING A MULTI-PURPOSE TASK COMPLETION PLATFORM
    • 用于提供多用途任务完成平台的方法,装置和系统
    • US20130124278A1
    • 2013-05-16
    • US13297087
    • 2011-11-15
    • Tarek Najm
    • Tarek Najm
    • G06Q30/02
    • G06Q30/0207G06Q30/0241G06Q50/01
    • A computer-implemented method of sourcing electronic tasks is disclosed. The method includes receiving customized electronic tasks, each customized electronic task being customized for a content managing entity. The method also includes identifying a plurality of users that selected to participate in receiving customized electronic tasks. The method further includes communicating one or more of the customized electronic tasks to at least one of the identified plurality of users. A method of consuming electronic tasks is also disclosed. The method includes displaying indicators of customized electronic tasks to a user, receiving a user selection of one of the customized electronic tasks, and generating feedback information regarding the selected customized electronic task.
    • 公开了采用电子任务的计算机实现方法。 该方法包括接收定制的电子任务,为内容管理实体定制每个定制的电子任务。 该方法还包括识别被选择参与接收定制的电子任务的多个用户。 该方法还包括将定制的电子任务中的一个或多个传送到所识别的多个用户中的至少一个。 还公开了一种消费电子任务的方法。 该方法包括向用户显示定制的电子任务的指示符,接收用户对定制的电子任务之一的选择,以及生成关于所选择的定制电子任务的反馈信息。
    • 45. 发明申请
    • IDENTIFYING AUTOMATED CLICK FRAUD PROGRAMS
    • 识别自动点击欺诈程序
    • US20080281606A1
    • 2008-11-13
    • US11745264
    • 2007-05-07
    • Brendan J. KittsTarek NajmBrian Burdick
    • Brendan J. KittsTarek NajmBrian Burdick
    • G06Q99/00
    • G06Q30/02
    • Methods and systems for identifying automated click fraud programs are provided. Upon receiving a request for presentation of a web page, the probability that the user is robotic is determined. The determined probability, along with historic behavior, if available, related to the requesting user, is used to determine a score that may be utilized to select advertisements for presentation to the user. If the score indicates a high likelihood that the user is robotic, an advertisement designed to solicit user behavior known to be associated with robots may be selected to confirm the suspicion. Alternatively, if the likelihood that the user is robotic is high enough, advertisement presentation may be largely suppressed. If, on the other hand, the score indicates a high likelihood that the user is human, a standard advertisement and/or an advertisement designed to solicit user feedback related to advertisements and/or publishers may be selected.
    • 提供了用于识别自动点击欺诈程序的方法和系统。 在接收到呈现网页的请求时,确定用户是机器人的概率。 使用确定的概率以及与请求用户相关的历史行为(如果可用))来确定可用于选择要向用户呈现的广告的分数。 如果分数表示用户是机器人的高可能性,则可以选择旨在征求用于与机器人相关联的用户行为的广告来确认怀疑。 或者,如果用户是机器人的可能性足够高,则可以大大抑制广告呈现。 另一方面,如果分数表示用户是人的高可能性,则可以选择旨在征求与广告和/或出版者相关的用户反馈的标准广告和/或广告。
    • 47. 发明申请
    • Automatically generating content for presenting in a preview pane for ADS
    • 自动生成用于在ADS的预览窗格中显示的内容
    • US20070050253A1
    • 2007-03-01
    • US11214485
    • 2005-08-29
    • Jody BiggsChristian BorgsJennifer ChayesUriel FeigeKamal JainYing LiChristopher MeekTarek NajmJoshua Goodman
    • Jody BiggsChristian BorgsJennifer ChayesUriel FeigeKamal JainYing LiChristopher MeekTarek NajmJoshua Goodman
    • G06Q30/00
    • G06Q30/02G06Q30/0271
    • The user interfaces, methods and systems described herein facilitate user interaction with an ad space by conveying additional advertising content via a preview pane and facilitate automatically generating the content of the preview pane. By way of example, an electronic advertisement is conveyed to a user in an ad space provided by a third party, and a secondary advertisement generating component automatically generates at least part of the content of a secondary advertisement. The secondary advertisement provides content associated with the electronic advertisement and occurs upon receiving a user indication. A context acquiring component also may provide context information to the secondary advertisement generating component to automatically generate at least part of the content of the secondary advertisement. By way of another example, a user is provided with one or more ads from a plurality of different advertisers in a first ad space maintained by an ad space supplier. A user input identifying at least one of the ads from the plurality of different advertisers is received. A second ad space for a supplemental ad having supplemental advertising information relating to the at least one ad identified by the user input is provided. At least part of the supplemental advertising information supplied in the supplemental ad is automatically produced. Contextual information also may be employed to automatically produce at least part of the supplemental advertising information.
    • 这里描述的用户界面,方法和系统通过经由预览窗格传送额外的广告内容来促进用户与广告空间的交互,并促进自动生成预览窗格的内容。 作为示例,在由第三方提供的广告空间中向用户传送电子广告,并且辅助广告生成部件自动生成次要广告的内容的至少一部分。 次要广告提供与电子广告相关联的内容,并且在接收到用户指示时发生。 上下文获取组件还可以向次要广告生成组件提供上下文信息以自动生成辅助广告的至少部分内容。 作为另一示例,在由广告空间供应商维护的第一广告空间中向用户提供来自多个不同广告商的一个或多个广告。 接收识别来自多个不同广告商的广告中的至少一个的用户输入。 提供了补充广告的第二广告空间,其具有与由用户输入标识的至少一个广告相关的补充广告信息。 补充广告中提供的补充广告信息的至少一部分将自动生成。 还可以使用上下文信息来自动产生补充广告信息的至少一部分。
    • 50. 发明申请
    • Verifying relevance between keywords and Web site contents
    • 验证关键字和网站内容之间的相关性
    • US20050234953A1
    • 2005-10-20
    • US10826162
    • 2004-04-15
    • Benyu ZhangHua-Jun ZengZheng ChenWei-Ying MaLi LiYing LiTarek Najm
    • Benyu ZhangHua-Jun ZengZheng ChenWei-Ying MaLi LiYing LiTarek Najm
    • G06F19/00G06F17/30
    • 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。