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    Adpost: a centralized advertisement platform
    1.
    发明申请
    Adpost: a centralized advertisement platform 审中-公开
    Adpost：一个集中的广告平台

    公开(公告)号：US20060259356A1

    公开(公告)日：2006-11-16

    申请号：US11127130

    申请日：2005-05-12

    申请人： Benyu Zhang ,  Fengping Zeng ,  Hua-Jun Zeng ,  Li Li ,  Wei-Ying Ma ,  Ying Li ,  Zheng Chen ,  Tarek Najm

    发明人： Benyu Zhang ,  Fengping Zeng ,  Hua-Jun Zeng ,  Li Li ,  Wei-Ying Ma ,  Ying Li ,  Zheng Chen ,  Tarek Najm

    IPC分类号： G06Q30/00

    CPC分类号： G06Q30/02 ,  G06Q30/0256

    摘要： A method is provided to ubiquitously promote products or services provided by a plurality of advertisers across a plurality of content-based applications. The method may include receiving data from the plurality of advertisers describing the products or services provided by the plurality of advertisers. The received data is stored in an advertisement database where a user may subsequently query the advertisement database to locate data promoting a product or service. Additionally, terms and payment data are extracted from the received advertisement data to efficiently promote the products or services provided by the advertiser across the plurality of content-based applications.

    摘要翻译： 提供了一种在多个基于内容的应用程序中无处不在地促进由多个广告商提供的产品或服务的方法。 该方法可以包括从多个广告商接收描述由多个广告商提供的产品或服务的数据。 所接收的数据被存储在广告数据库中，用户随后可以查询广告数据库以定位促销产品或服务的数据。 此外，从接收到的广告数据中提取术语和支付数据，以有效地促进广告商在多个基于内容的应用程序中提供的产品或服务。

    Reinforced clustering of multi-type data objects for search term suggestion
    2.
    发明申请
    Reinforced clustering of multi-type data objects for search term suggestion 失效
    用于搜索词建议的多类型数据对象的加强聚类

    公开(公告)号：US20050234972A1

    公开(公告)日：2005-10-20

    申请号：US10826159

    申请日：2004-04-15

    申请人： Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Wei-Ying Ma ,  Li Li ,  Ying Li ,  Tarek Najm

    发明人： Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Wei-Ying Ma ,  Li Li ,  Ying Li ,  Tarek Najm

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30864 ,  Y10S707/99945

    摘要： Systems and methods for related term suggestion are described. In one aspect, relationships among respective ones of two or more multi-type data objects are identified. The respective ones of the multi-type data objects include at least one object of a first type and at least one object of a second type that is different from the first type. The multi-type data objects are iteratively clustered in view of respective ones of the relationships to generate reinforced clusters.

    摘要翻译： 描述相关术语建议的系统和方法。 在一个方面，识别两个或多个多类型数据对象中的各个之间的关系。 多类型数据对象中的相应的一个包括第一类型的至少一个对象和与第一类型不同的第二类型的至少一个对象。 根据相应的关系，多重数据对象被迭代地聚集以产生增强的聚类。

    Peer-to-peer advertisement platform
    3.
    发明授权
    Peer-to-peer advertisement platform 有权
    对等广告平台

    公开(公告)号：US08548853B2

    公开(公告)日：2013-10-01

    申请号：US11147247

    申请日：2005-06-08

    申请人： Benyu Zhang ,  Fengping Zeng ,  Hua-Jun Zeng ,  Li Li ,  Tarek Najm ,  Wei-Ying Ma ,  Ying Li ,  Zheng Chen

    发明人： Benyu Zhang ,  Fengping Zeng ,  Hua-Jun Zeng ,  Li Li ,  Tarek Najm ,  Wei-Ying Ma ,  Ying Li ,  Zheng Chen

    IPC分类号： G06Q30/00

    CPC分类号： G06Q30/02 ,  G06Q30/0207 ,  G06Q30/0247 ,  G06Q30/0251

    摘要： 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.

    摘要翻译： 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。

    Reinforced clustering of multi-type data objects for search term suggestion
    4.
    发明授权
    Reinforced clustering of multi-type data objects for search term suggestion 失效
    用于搜索词建议的多类型数据对象的加强聚类

    公开(公告)号：US07689585B2

    公开(公告)日：2010-03-30

    申请号：US10826159

    申请日：2004-04-15

    申请人： Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Wei-Ying Ma ,  Li Li ,  Ying Li ,  Tarek Najm

    发明人： Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Wei-Ying Ma ,  Li Li ,  Ying Li ,  Tarek Najm

    IPC分类号： G06F7/00

    CPC分类号： G06F17/30864 ,  Y10S707/99945

    摘要： Systems and methods for related term suggestion are described. In one aspect, relationships among respective ones of two or more multi-type data objects are identified. The respective ones of the multi-type data objects include at least one object of a first type and at least one object of a second type that is different from the first type. The multi-type data objects are iteratively clustered in view of respective ones of the relationships to generate reinforced clusters.

    摘要翻译： 描述相关术语建议的系统和方法。 在一个方面，识别两个或多个多类型数据对象中的各个之间的关系。 多类型数据对象中的相应的一个包括第一类型的至少一个对象和与第一类型不同的第二类型的至少一个对象。 根据相应的关系，多重数据对象被迭代地聚集以产生增强的聚类。

    Peer-to-peer advertisement platform
    6.
    发明申请
    Peer-to-peer advertisement platform 有权

    公开(公告)号：US20060282309A1

    公开(公告)日：2006-12-14

    申请号：US11147247

    申请日：2005-06-08

    申请人： Benyu Zhang ,  Fengping Zeng ,  Hua-Jun Zeng ,  Li Li ,  Tarek Najm ,  Wei-Ying Ma ,  Ying Li ,  Zheng Chen

    发明人： Benyu Zhang ,  Fengping Zeng ,  Hua-Jun Zeng ,  Li Li ,  Tarek Najm ,  Wei-Ying Ma ,  Ying Li ,  Zheng Chen

    IPC分类号： G06Q30/00

    CPC分类号： G06Q30/02 ,  G06Q30/0207 ,  G06Q30/0247 ,  G06Q30/0251

    摘要： 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.

    Verifying relevance between keywords and Web site contents
    7.
    发明申请
    Verifying relevance between keywords and Web site contents 失效
    验证关键字和网站内容之间的相关性

    公开(公告)号：US20050234953A1

    公开(公告)日：2005-10-20

    申请号：US10826162

    申请日：2004-04-15

    申请人： Benyu Zhang ,  Hua-Jun Zeng ,  Zheng Chen ,  Wei-Ying Ma ,  Li Li ,  Ying Li ,  Tarek Najm

    发明人： Benyu Zhang ,  Hua-Jun Zeng ,  Zheng Chen ,  Wei-Ying Ma ,  Li Li ,  Ying Li ,  Tarek Najm

    IPC分类号： G06F19/00 ,  G06F17/30

    CPC分类号： G06F17/30687 ,  G06F17/30663 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935

    摘要： 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.

    摘要翻译： 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。

    Verifying relevance between keywords and web site contents
    9.
    发明授权
    Verifying relevance between keywords and web site contents 失效
    验证关键字和网站内容之间的相关性

    公开(公告)号：US07260568B2

    公开(公告)日：2007-08-21

    申请号：US10826162

    申请日：2004-04-15

    申请人： Benyu Zhang ,  Hua-Jun Zeng ,  Zheng Chen ,  Wei-Ying Ma ,  Li Li ,  Ying Li ,  Tarek Najm

    发明人： Benyu Zhang ,  Hua-Jun Zeng ,  Zheng Chen ,  Wei-Ying Ma ,  Li Li ,  Ying Li ,  Tarek Najm

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30687 ,  G06F17/30663 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935

    摘要： 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.

    摘要翻译： 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。

    Advertising keyword cross-selling
    10.
    发明授权
    Advertising keyword cross-selling 有权
    广告关键字交叉销售

    公开(公告)号：US07788131B2

    公开(公告)日：2010-08-31

    申请号：US11300918

    申请日：2005-12-15

    申请人： Shuzhen Nong ,  Ying Li ,  Tarek Najm ,  Li Li ,  Hua-Jun Zeng ,  Zheng Chen ,  Benyu Zhang

    发明人： Shuzhen Nong ,  Ying Li ,  Tarek Najm ,  Li Li ,  Hua-Jun Zeng ,  Zheng Chen ,  Benyu Zhang

    IPC分类号： G06Q30/00

    CPC分类号： G06Q30/02 ,  G06F17/30864 ,  G06Q30/0251 ,  G06Q30/0275

    摘要： 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.

    摘要翻译： 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。