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    • 1. 发明申请
    • Contextual syndication platform
    • 上下文联合平台
    • US20080098026A1
    • 2008-04-24
    • US11584403
    • 2006-10-19
    • Reiner KraftFarzin MaghoulGray Norton
    • Reiner KraftFarzin MaghoulGray Norton
    • G06F7/00
    • G06F17/3061G06F17/241
    • Techniques are disclosed for automatically annotating a document to offer, to a viewer, a choice of operations that a user can take relative to identified entities to which the document refers, where the choice of operations offered in relation to each such entity is appropriate to and based on the types of that entity. In one embodiment of the invention, for each “interesting” entity within a document, a mechanism automatically determines one or more types for that entity. The mechanism automatically annotates the document so that an application will present entity-type-specific data (including operation choices) that is generated by modules that are mapped to the types of the entities within the document. The annotations comprise metadata that indicates types of each “interesting” entity. The entity-type-specific data may be presented along with the rest of the document. A user need not navigate to a different document prior to viewing the data.
    • 技术被公开用于自动地注释文档以向观众提供用户可以相对于文档所参照的被识别实体采取的操作的选择,其中对每个这样的实体提供的操作的选择适合于和 基于该实体的类型。 在本发明的一个实施例中,对于文档内的每个“有趣的”实体,机制自动地确定该实体的一个或多个类型。 该机制自动注释文档,以便应用程序将呈现由映射到文档中实体类型的模块生成的实体类型特定数据(包括操作选择)。 注释包括指示每个“有趣”实体的类型的元数据。 实体类型特定数据可以与文档的其余部分一起呈现。 在查看数据之前,用户不需要导航到其他文档。
    • 2. 发明授权
    • Contextual syndication platform
    • 上下文联合平台
    • US07962465B2
    • 2011-06-14
    • US11584403
    • 2006-10-19
    • Reiner KraftFarzin MaghoulGray Norton
    • Reiner KraftFarzin MaghoulGray Norton
    • G06F7/00G06F17/30
    • G06F17/3061G06F17/241
    • Techniques are disclosed for automatically annotating a document to offer, to a viewer, a choice of operations that a user can take relative to identified entities to which the document refers, where the choice of operations offered in relation to each such entity is appropriate to and based on the types of that entity. In one embodiment of the invention, for each “interesting” entity within a document, a mechanism automatically determines one or more types for that entity. The mechanism automatically annotates the document so that an application will present entity-type-specific data (including operation choices) that is generated by modules that are mapped to the types of the entities within the document. The annotations comprise metadata that indicates types of each “interesting” entity. The entity-type-specific data may be presented along with the rest of the document. A user need not navigate to a different document prior to viewing the data.
    • 技术被公开用于自动地注释文档以向观众提供用户可以相对于文档所参照的被识别实体所采取的操作的选择,其中针对每个这样的实体提供的操作的选择适合于和 基于该实体的类型。 在本发明的一个实施例中,对于文档内的每个“有趣的”实体,机制自动地确定该实体的一个或多个类型。 该机制自动注释文档,以便应用程序将呈现由映射到文档中实体类型的模块生成的实体类型特定数据(包括操作选择)。 注释包括指示每个“有趣”实体的类型的元数据。 实体类型特定数据可以与文档的其余部分一起呈现。 在查看数据之前,用户不需要导航到其他文档。
    • 8. 发明申请
    • Automatically determining topical regions in a document
    • 自动确定文档中的主题区域
    • US20070074102A1
    • 2007-03-29
    • US11239729
    • 2005-09-29
    • Reiner KraftFarzin Maghoul
    • Reiner KraftFarzin Maghoul
    • G06F17/00G06F17/30G06F3/00
    • G06F16/951G06F16/3347
    • Techniques for automatically adding context-sensitive search-enabling user interface elements to a web page are provided. According to one technique, topical regions of a document are automatically determined by computer-implemented means. The document is automatically separated into topically different sections. For each section, at least some of the topics to which that section pertains are automatically determined. Between each of the sections, a user interface element is automatically inserted into the document. Each such user interface element is automatically associated with the topics to which the section immediately preceding that user interface element pertains. A user's subsequent activation of such a user interface element causes context-sensitive search results to be provided to the user. The context-sensitive search results are focused specifically on web pages that pertain to the topics with which the activated user interface element is associated, and substantially exclude web pages that do not pertain to those topics.
    • 提供了一种自动将上下文相关搜索启用用户界面元素添加到网页的技术。 根据一种技术,文档的主题区域由计算机实现的方式自动确定。 文档自动分为局部不同的部分。 对于每个部分,该部分所属的至少一些主题将自动确定。 在每个部分之间,用户界面元素自动插入到文档中。 每个这样的用户界面元素自动地与该用户界面元素之前的部分所属的主题相关联。 用户随后激活这样的用户界面元素使得向用户提供上下文相关的搜索结果。 上下文相关的搜索结果专门关注与激活的用户界面元素相关联的主题相关联的网页,并且基本上排除了与这些主题不相关的网页。
    • 10. 发明申请
    • Serving advertisements based on keywords related to a webpage determined using external metadata
    • 根据与使用外部元数据确定的网页相关的关键字投放广告
    • US20080027798A1
    • 2008-01-31
    • US11492387
    • 2006-07-25
    • Shivkumar RamamurthiFarzin MaghoulJan PedersenOfer Mendelevitch
    • Shivkumar RamamurthiFarzin MaghoulJan PedersenOfer Mendelevitch
    • G06Q30/00
    • G06Q30/02G06Q30/0248G06Q30/0256G06Q30/0277
    • Methods and apparatus for selecting advertisements to display to a user requesting a primary webpage is provided. Keywords related to the primary webpage are determined using internal information of the primary webpage and/or external information provided in neighboring webpages. The external information may include anchor text metadata of hyperlinks on neighboring webpages that link to the primary webpage or include the number of such hyperlinks having a same particular anchor text. Other internal and/or external information may be used to determine a list of keywords related to the primary webpage. One or more of keywords on the list are selected to represent the primary webpage according to one or more objectives. One or more advertisements are selected to be served to the user using the selected keywords. Machine learning techniques may be used to develop a model that automatedly determines keywords representing a webpage.
    • 提供了用于选择广告以显示给请求主网页的用户的方法和装置。 使用主网页的内部信息和/或邻近网页中提供的外部信息来确定与主网页相关的关键词。 外部信息可以包括链接到主网页的相邻网页上的超链接的锚文本元数据,或者包括具有相同特定锚文本的这种超链接的数目。 其他内部和/或外部信息可用于确定与主要网页相关的关键词列表。 根据一个或多个目标,选择列表中的一个或多个关键字来表示主网页。 选择使用所选择的关键字向用户提供一个或多个广告。 机器学习技术可用于开发自动确定表示网页的关键字的模型。