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公开(公告)号：US07792841B2
公开(公告)日：2010-09-07
申请号：US11442909
申请日：2006-05-30
IPC分类号： G06F7/00
CPC分类号： G06Q30/02
摘要： Methods and systems for extraction and summarization of sentiment information related to a particular research subject are disclosed. A method includes accessing sources of information that contain sentiment information that is related to the research subject and extracting the sentiment information from the sources of information as opinions related to the research subject. Opinion categories related to features of the research subject are identified. From this information a summarization of the sentiment information that is related to the particular research subject that includes the identified opinion categories is generated. Subsequently, access is provided to the summarization for graphical presentation.
摘要翻译： 公开了与特定研究对象相关的情绪信息的提取和总结方法和系统。 一种方法包括访问包含与研究对象相关的情绪信息的信息源，并从信息来源提取情绪信息作为与研究对象相关的意见。 确定与研究对象特征相关的意见类别。 从该信息中，生成与包括所识别的意见类别的特定研究主题相关的情绪信息的总结。 随后，提供对图形呈现的摘要的访问。
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公开(公告)号：US08533188B2
公开(公告)日：2013-09-10
申请号：US13235140
申请日：2011-09-16
申请人： Jun Yan , Ning Liu , Lei Ji , Steven J. Hanks , Qing Xu , Zheng Chen
发明人： Jun Yan , Ning Liu , Lei Ji , Steven J. Hanks , Qing Xu , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06F17/30321 , G06F17/30867
摘要： Embodiments facilitate greater flexibility in definition of user segments for targeted advertising, by employing indexed semantic user profiles. Semantic user profiles are built through extraction of online user behavior data such as user search queries and page views, and include user interest information that is inferred based on user behavior. Semantic user profiles are then indexed to facilitate search for a set of users that fit specified semantic search terms. Search results for semantic profiles are ranked according to a ranking model developed through machine learning. In some embodiments, building and indexing of semantic profiles and learning of the ranking model is performed offline to facilitate more efficient online processing of queries.
摘要翻译： 实施例通过采用索引语义用户简档来促进用于定向广告的用户段的定义的更大的灵活性。 通过提取在线用户行为数据（如用户搜索查询和页面浏览）构建语义用户配置文件，并包括基于用户行为推断的用户兴趣信息。 然后索引语义用户简档，以便于搜索适合指定语义搜索术语的一组用户。 根据通过机器学习开发的排名模型对语义轮廓的搜索结果进行排名。 在一些实施例中，离线地执行语义概况的构建和索引以及排名模型的学习，以便更有效地在线处理查询。
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公开(公告)号：US20130097028A1
公开(公告)日：2013-04-18
申请号：US13273542
申请日：2011-10-14
申请人： PENG HAN , STEVEN J. HANKS , ERIK J. HANSON , ROBERT PAUL GORMAN , XIAOBIN DONG , QING XU
发明人： PENG HAN , STEVEN J. HANKS , ERIK J. HANSON , ROBERT PAUL GORMAN , XIAOBIN DONG , QING XU
IPC分类号： G06Q30/02
CPC分类号： G06Q30/02
摘要： Systems and method are provided for conducting an auction to match an advertising payload to an available advertising impression. In the auction, a dynamic floor price is provided. The dynamic floor price provides a way for a publisher to incorporate the internal value of the available impression into the auction process, while still allowing the publisher to maximize the value of the available impression by exposing the impression to bids from outside parties. The dynamic floor price can be calculated based on both internal valuations of an available impression as well as external valuations derived from feedback from prior auctions. To facilitate determination of a dynamic floor prices, advertisers and available impressions can be categorized into various segments.
摘要翻译： 提供系统和方法用于进行拍卖以将广告有效载荷与可用的广告印象相匹配。 在拍卖中，提供动态底价。 动态底价提供了发布商将可用展示的内部值纳入拍卖过程的一种方式，同时仍允许发布商通过将展示曝光展示给来自外部各方的出价来最大化可用展示的价值。 动态底价可以根据可用印象的内部估值以及从先前拍卖反馈中得出的外部估值来计算。 为了方便确定动态底价，广告客户和可用的展示次数可分为不同的细分。
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公开(公告)号：US20130073546A1
公开(公告)日：2013-03-21
申请号：US13235140
申请日：2011-09-16
申请人： Jun Yan , Ning Liu , Lei Ji , Steven J. Hanks , Qing Xu , Zheng Chen
发明人： Jun Yan , Ning Liu , Lei Ji , Steven J. Hanks , Qing Xu , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06F17/30321 , G06F17/30867
摘要： Embodiments facilitate greater flexibility in definition of user segments for targeted advertising, by employing indexed semantic user profiles. Semantic user profiles are built through extraction of online user behavior data such as user search queries and page views, and include user interest information that is inferred based on user behavior. Semantic user profiles are then indexed to facilitate search for a set of users that fit specified semantic search terms. Search results for semantic profiles are ranked according to a ranking model developed through machine learning. In some embodiments, building and indexing of semantic profiles and learning of the ranking model is performed offline to facilitate more efficient online processing of queries.
摘要翻译： 实施例通过采用索引语义用户简档来促进用于定向广告的用户段的定义的更大的灵活性。 通过提取在线用户行为数据（如用户搜索查询和页面浏览）构建语义用户配置文件，并包括基于用户行为推断的用户兴趣信息。 然后索引语义用户简档，以便于搜索适合指定语义搜索术语的一组用户。 根据通过机器学习开发的排名模型对语义轮廓的搜索结果进行排名。 在一些实施例中，离线地执行语义概况的构建和索引以及排名模型的学习，以便更有效地在线处理查询。
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公开(公告)号：US20070282867A1
公开(公告)日：2007-12-06
申请号：US11442909
申请日：2006-05-30
IPC分类号： G06F7/00
CPC分类号： G06Q30/02
摘要： Methods and systems for extraction and summarization of sentiment information related to a particular research subject are disclosed. A method includes accessing sources of information that contain sentiment information that is related to the research subject and extracting the sentiment information from the sources of information as opinions related to the research subject. Opinion categories related to features of the research subject are identified. From this information a summarization of the sentiment information that is related to the particular research subject that includes the identified opinion categories is generated. Subsequently, access is provided to the summarization for graphical presentation.
摘要翻译： 公开了与特定研究对象相关的情绪信息的提取和总结方法和系统。 一种方法包括访问包含与研究对象相关的情绪信息的信息源，并从信息来源提取情绪信息作为与研究对象相关的意见。 确定与研究对象特征相关的意见类别。 从该信息中，生成与包括所识别的意见类别的特定研究主题相关的情绪信息的总结。 随后，提供对图形呈现的摘要的访问。
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