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1. 发明申请

US20120330936A1 USING A DYNAMICALLY-GENERATED CONTENT-LEVEL NEWSWORTHINESS RATING TO PROVIDE CONTENT RECOMMENDATIONS 失效
标题翻译：使用动态生成的内容级新闻稿评级提供内容建议
公开(公告)号：US20120330936A1
公开(公告)日：2012-12-27
申请号：US13166286
申请日：2011-06-22
申请人： DANIEL J. MCCLOSKEY , MARCELLO TROVATI , CAROL S. ZIMMET
发明人： DANIEL J. MCCLOSKEY , MARCELLO TROVATI , CAROL S. ZIMMET
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30731 , G06Q30/02
摘要： A method for providing content-level data artifact recommendations can begin with the creation of a semantic library from the textual content of data artifacts by a newsworthy content recommendation engine. A base newsworthiness rating can be calculated using global newsworthiness parameters and behavioral functions that model newsworthy influences for each relationship contained in the semantic library. A user-specific search network can be generated that represents user-entered criteria and/or user task-related criteria. Within the semantic library, potential newsworthy semantic networks can be identified. Newsworthy content from each identified potential newsworthy semantic network can be dynamically determined based upon the base newsworthiness rating and a predefined newsworthiness threshold. The newsworthy content from the identified potential newsworthy semantic network can be related to the user-specific search network at the common node, creating a newsworthy content recommendation graph. The newsworthy content recommendation graph can be presented within a user interface.
摘要翻译：提供内容级数据工件建议的方法可以从新闻内容推荐引擎从数据工件的文本内容创建语义库开始。可以使用全球新闻价值参数和行为功能来计算基础新闻价值评估，这些参数和行为功能为语义库中包含的每个关系建立新闻价值影响。可以生成表示用户输入的标准和/或与用户任务相关的标准的特定于用户的搜索网络。在语义库中，可以识别潜在的有价值的语义网络。可以根据基本新闻价值评级和预定义的新闻价值阈值动态地确定来自每个确定的潜在的有价值的语义网络的新闻内容。来自所识别的潜在新闻价值语义网络的新闻内容可以与公共节点上的用户特定搜索网络相关，创建有新闻价值的内容推荐图。有价值的内容推荐图可以在用户界面中显示。

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