Method, system and computer code for content based web advertising
    1.
    发明授权
    Method, system and computer code for content based web advertising 有权
    基于内容的网络广告的方法,系统和计算机代码

    公开(公告)号:US08620747B2

    公开(公告)日:2013-12-31

    申请号:US11327087

    申请日:2006-01-05

    IPC分类号: G06Q30/00

    摘要: An internet target marketing system, method, and computer program for distributing online advertising to viewers based upon the viewers' interests is provided. The system, method, and computer program may involve identifying one or more document-related concepts derived from analysis of content of a web document capable of being displayed to the user, identifying one or more advertisement-related concepts relevant to an advertising, comparing the one or more document-related concepts to the one or more advertising-related concepts to determine a relevance, and selecting the advertising based on the relevance.

    摘要翻译: 提供了一种根据观众的兴趣向观众分发网络广告的互联网目标营销系统,方法和计算机程序。 系统,方法和计算机程序可以包括识别从能够被显示给用户的web文档的内容的分析得出的一个或多个文档相关概念,识别与广告相关的一个或多个广告相关概念,比较 与所述一个或多个广告相关概念的一个或多个文档相关概念以确定相关性,以及基于所述相关性来选择所述广告。

    Method, system and computer code for content based web advertising
    2.
    发明授权
    Method, system and computer code for content based web advertising 有权
    基于内容的网络广告的方法,系统和计算机代码

    公开(公告)号:US07124093B1

    公开(公告)日:2006-10-17

    申请号:US10936782

    申请日:2004-09-07

    IPC分类号: G06F17/60 G06Q30/00

    摘要: An internet target marketing system, method, and computer program for distributing online advertising to viewers based upon the viewers' interests is provided. Specific embodiments according to the present invention can use an n-way matching of user's concepts of interest, advertiser's concepts and a currently viewed document to target advertising to the view of the current document. Some embodiments can generate a contextually sensitive advertisement for each page viewed in a browser, thereby associating an advertisement with every page in a document. Specific embodiments can associate advertising with documents that are substantially free of embedded advertisements, for example. Alternative embodiments can include embedded advertising.

    摘要翻译: 提供了一种根据观众的兴趣向观众分发网络广告的互联网目标营销系统,方法和计算机程序。 根据本发明的具体实施例可以使用用户感兴趣的概念,广告主的概念和当前浏览的文档的n-way匹配来将广告定位到当前文档的视图。 一些实施例可以为在浏览器中查看的每个页面生成上下文敏感广告,从而将广告与文档中的每个页面相关联。 具体实施例可以将广告与基本上不含嵌入式广告的文档相关联。 替代实施例可以包括嵌入式广告。

    METHOD, SYSTEM AND COMPUTER CODE FOR CONTENT BASED WEB ADVERTISING
    3.
    发明申请
    METHOD, SYSTEM AND COMPUTER CODE FOR CONTENT BASED WEB ADVERTISING 审中-公开
    基于内容的网络广告的方法,系统和计算机代码

    公开(公告)号:US20140074606A1

    公开(公告)日:2014-03-13

    申请号:US14078065

    申请日:2013-11-12

    IPC分类号: G06Q30/02

    摘要: According to the present invention, an internet target marketing system, method and computer program for distributing online advertising to viewers based upon the viewers' interests is provided. Specific embodiments according to the present invention can use an n-way matching of user's concepts of interest, advertiser's concepts and a currently viewed document to target advertising to the view of the current document. Some embodiments can generate a contextually sensitive advertisement for each page viewed in a browser, thereby associating an advertisement with every page in a document. Specific embodiments can associate advertising with documents that are substantially free of embedded advertisements, for example. Alternative embodiments can include embedded advertising, however.

    摘要翻译: 根据本发明,提供了一种基于观众的兴趣向观众分发网络广告的互联网目标营销系统,方法和计算机程序。 根据本发明的具体实施例可以使用用户感兴趣的概念,广告主的概念和当前浏览的文档的n-way匹配来将广告定位到当前文档的视图。 一些实施例可以为在浏览器中查看的每个页面生成上下文敏感广告,从而将广告与文档中的每个页面相关联。 具体实施例可以将广告与基本上不含嵌入式广告的文档相关联。 然而,替代实施例可以包括嵌入式广告。

    System and method for utilizing social networks for collaborative filtering
    5.
    发明申请
    System and method for utilizing social networks for collaborative filtering 失效
    利用社交网络进行协同过滤的系统和方法

    公开(公告)号:US20050256756A1

    公开(公告)日:2005-11-17

    申请号:US10847839

    申请日:2004-05-17

    IPC分类号: G06Q30/00 G06F17/60

    摘要: A novel system and method of predicting a user's rating of a new item in a collaborative filtering system is described. The invention incorporates social network information in addition to user ratings to make recommendations. The distance between users in the social network is used to enhance the estimate of user similarities for collaborative filtering. The social network can be constructed explicitly by users or deduced implicitly from observed interaction between users.

    摘要翻译: 描述了一种在协同过滤系统中预测用户对新项目的评级的新颖系统和方法。 除了用户评级之外,本发明还包含社交网络信息以提出建议。 社交网络中的用户之间的距离用于增强用户协作过滤的相似度估计。 社交网络可以由用户明确构建,也可以从用户观察到的交互隐含推断出来。