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公开(公告)号:US08484179B2
公开(公告)日:2013-07-09
申请号:US12330253
申请日:2008-12-08
申请人: Anthony Tran , Mira Lane , Eric Michael Schurman , Kemp Crockett Peterson , Jamie Paul Buckley , Richard Leigh Mains , Evan Nicklas Wu Malahy , Ramez Naam
发明人: Anthony Tran , Mira Lane , Eric Michael Schurman , Kemp Crockett Peterson , Jamie Paul Buckley , Richard Leigh Mains , Evan Nicklas Wu Malahy , Ramez Naam
IPC分类号: G06F17/30
CPC分类号: G06F17/30864
摘要: Search results and associated search-result details are provided in response to user queries. Embodiments include identifying a number of search-result details for different indexed search results, identifying one or more detail-attributes for each search-result detail, and identifying one or more user-attributes for a particular user. These search results, associated search-result details, and associated detail-attributes may be stored in a database. Upon receiving a search query from the user, search results may be generated. Search-result details specific to each search result and specific to the end-user may also be generated by identifying the detail-attributes associated with each search-result detail and the user-attributes associated with the end-user. These search results may then be presented to the end-user. Upon receiving an indication of interest in a particular search result, the search result details may then be presented to the end user.
摘要翻译: 响应用户查询提供搜索结果和相关搜索结果详细信息。 实施例包括识别用于不同索引的搜索结果的搜索结果细节的数量,识别每个搜索结果细节的一个或多个细节属性,以及识别特定用户的一个或多个用户属性。 这些搜索结果,相关联的搜索结果细节和相关联的细节属性可以存储在数据库中。 在从用户接收到搜索查询时,可以生成搜索结果。 也可以通过识别与每个搜索结果细节相关联的细节属性和与最终用户相关联的用户属性来生成针对每个搜索结果和特定于最终用户的搜索结果细节。 然后可以将这些搜索结果呈现给最终用户。 在接收到对特定搜索结果感兴趣的指示时,可以将搜索结果细节呈现给最终用户。
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公开(公告)号:US08260809B2
公开(公告)日:2012-09-04
申请号:US11770535
申请日:2007-06-28
申请人: John C. Platt , Gary W. Flake , Ramez Naam , Anoop Gupta , Oliver Hurst-Hiller , Trenholme J. Griffin
发明人: John C. Platt , Gary W. Flake , Ramez Naam , Anoop Gupta , Oliver Hurst-Hiller , Trenholme J. Griffin
CPC分类号: G06F17/30976 , G06F17/276 , G10L15/26
摘要: Architecture for completing search queries by using artificial intelligence based schemes to infer search intentions of users. Partial queries are completed dynamically in real time. Additionally, search aliasing can also be employed. Custom tuning can be performed based on at least query inputs in the form of text, graffiti, images, handwriting, voice, audio, and video signals. Natural language processing occurs, along with handwriting recognition and slang recognition. The system includes a classifier that receives a partial query as input, accesses a query database based on contents of the query input, and infers an intended search goal from query information stored on the query database. A query formulation engine receives search information associated with the intended search goal and generates a completed formal query for execution.
摘要翻译: 通过使用基于人工智能的方案来推断用户的搜索意图来完成搜索查询的架构。 部分查询是实时动态完成的。 此外,还可以使用搜索别名。 可以至少基于文本,涂鸦,图像,手写,语音,音频和视频信号的查询输入进行定制调整。 自然语言处理发生,手写识别和俚语识别。 该系统包括接收部分查询作为输入的分类器,基于查询输入的内容访问查询数据库,并从存储在查询数据库中的查询信息推断预期的搜索目标。 查询制定引擎接收与预期搜索目标相关联的搜索信息,并生成完成的正式查询以供执行。
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公开(公告)号:US08005810B2
公开(公告)日:2011-08-23
申请号:US11239810
申请日:2005-09-30
申请人: Ramez Naam , Randall F. Kern , Oliver Hurst-Hiller
发明人: Ramez Naam , Randall F. Kern , Oliver Hurst-Hiller
CPC分类号: G06F17/30867
摘要: Architecture that allows a user to search for content or to restrict an online search to a limited number of websites and/or blog sites. Architecture is provided that facilitates data searching via a source component that includes data representative of a website or a blog, and a search component that processes the data to restrict or bias a query based in part on the data. The source component can include one or more of a favorites list, a blogroll, a pointer to an XML file, or a pointer to an OPML (outline processor markup language) file to specify a list of sites or blogs which they frequent. The search component processes a search query and restricts or biases the search by specifying a list of sites or blogs which are contained in the data of the source component, for example, the favorites list, the pointer to an XML file, the pointer to an OPML file, and the blogroll.
摘要翻译: 允许用户搜索内容或将在线搜索限制在有限数量的网站和/或博客站点的体系结构。 提供了通过包括表示网站或博客的数据的源组件以及部分地基于数据来处理数据来限制或偏向查询的搜索组件来促进数据搜索的体系结构。 源组件可以包括一个或多个收藏夹列表,博客,指向XML文件的指针,或指向OPML(轮廓处理器标记语言)文件的指针,以指定他们频繁的站点或博客列表。 搜索组件处理搜索查询,并通过指定包含在源组件的数据中的站点或博客列表来限制或偏向搜索,例如,收藏夹列表,指向XML文件的指针,指向 OPML文件和博客。
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公开(公告)号:US20110167053A1
公开(公告)日:2011-07-07
申请号:US13048661
申请日:2011-03-15
申请人: Stephen Lawler , Eric J. Horvitz , Joshua T. Goodman , Anoop Gupta , Christopher A. Meek , Eric D. Brill , Gary W. Flake , Ramez Naam , Surajit Chaudhuri , Oliver Hurst-Hiller
发明人: Stephen Lawler , Eric J. Horvitz , Joshua T. Goodman , Anoop Gupta , Christopher A. Meek , Eric D. Brill , Gary W. Flake , Ramez Naam , Surajit Chaudhuri , Oliver Hurst-Hiller
CPC分类号: G06F16/433 , G06F16/41 , G06F16/434 , G06F16/48 , G06F16/5838 , G06F16/951
摘要: A system that can analyze a multi-dimensional input thereafter establishing a search query based upon extracted features from the input. In a particular example, an image can be used as an input to a search mechanism. Pattern recognition and image analysis can be applied to the image thereafter establishing a search query that corresponds to features extracted from the image input. The system can also facilitate indexing multi-dimensional searchable items thereby making them available to be retrieved as results to a search query. More particularly, the system can employ text analysis, pattern and/or speech recognition mechanisms to extract features from searchable items. These extracted features can be employed to index the searchable items.
摘要翻译: 一种能够基于从输入中提取的特征来建立搜索查询的分析多维输入的系统。 在特定示例中,图像可以用作搜索机制的输入。 模式识别和图像分析可以应用于图像,然后建立对应于从图像输入提取的特征的搜索查询。 该系统还可以方便索引多维可搜索项目,从而使得它们可以作为结果被检索到搜索查询。 更具体地,系统可以采用文本分析,模式和/或语音识别机制来从可搜索项目中提取特征。 这些提取的特征可用于索引可搜索的项目。
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公开(公告)号:US20100287183A1
公开(公告)日:2010-11-11
申请号:US12437785
申请日:2009-05-08
IPC分类号: G06F17/30
CPC分类号: G06F17/30693 , G06F17/30864
摘要: Sharing of search histories is facilitated with a computer based system and method that allow a searcher to share search results generated without prior authentication of an identity with a search engine. Sharing and collaboration are further facilitated by allowing search history items to be shared with a minimum of additional searcher input. Context for the search history items is provided by associating a search query with an accessed document link without requiring separate tagging of the link by the searcher.
摘要翻译: 利用基于计算机的系统和方法来促进搜索历史的共享,该系统和方法允许搜索者共享搜索结果,而无需事先与搜索引擎的身份认证。 通过允许搜索历史项目与最小额外的搜索者输入共享来进一步促进共享和协作。 通过将搜索查询与所访问的文档链接相关联而不需要由搜索者单独标记链接来提供搜索历史项目的上下文。
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公开(公告)号:US20090006344A1
公开(公告)日:2009-01-01
申请号:US11770502
申请日:2007-06-28
申请人: John C. Platt , Gary W. Flake , Ramez Naam , Anoop Gupta , Oliver Hurst-Hiller , Trenholme J. Griffin
发明人: John C. Platt , Gary W. Flake , Ramez Naam , Anoop Gupta , Oliver Hurst-Hiller , Trenholme J. Griffin
IPC分类号: G06F7/00
CPC分类号: G06F17/276 , G06F16/90332
摘要: Architecture for completing search queries by using artificial intelligence based schemes to infer search intentions of users. Partial queries are completed dynamically in real time. Additionally, search aliasing can also be employed. Custom tuning can be performed based on at least query inputs in the form of text, graffiti, images, handwriting, voice, audio, and video signals. Natural language processing occurs, along with handwriting recognition and slang recognition. The system includes a classifier that receives a partial query as input, accesses a query database based on contents of the query input, and infers an intended search goal from query information stored on the query database. A query formulation engine receives search information associated with the intended search goal and generates a completed formal query for execution.
摘要翻译: 通过使用基于人工智能的方案来推断用户的搜索意图来完成搜索查询的架构。 部分查询是实时动态完成的。 此外,还可以使用搜索别名。 可以至少基于文本,涂鸦,图像,手写,语音,音频和视频信号的查询输入进行定制调整。 自然语言处理发生,手写识别和俚语识别。 该系统包括接收部分查询作为输入的分类器,基于查询输入的内容访问查询数据库,并从存储在查询数据库中的查询信息推断预期的搜索目标。 查询制定引擎接收与预期搜索目标相关联的搜索信息,并生成完成的正式查询以供执行。
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公开(公告)号:US20080005091A1
公开(公告)日:2008-01-03
申请号:US11427303
申请日:2006-06-28
申请人: Stephen Lawler , Eric J. Horvitz , Joshua T. Goodman , Anoop Gupta , Christopher A. Meek , Eric D. Brill , Gary W. Flake , Ramez Naam , Surajit Chaudhuri , Oliver Hurst-Hiller
发明人: Stephen Lawler , Eric J. Horvitz , Joshua T. Goodman , Anoop Gupta , Christopher A. Meek , Eric D. Brill , Gary W. Flake , Ramez Naam , Surajit Chaudhuri , Oliver Hurst-Hiller
IPC分类号: G06F17/30
CPC分类号: G06F17/30864 , G06F17/30592 , Y10S707/913
摘要: A system that can analyze a multi-dimensional input thereafter establishing a search query based upon extracted features from the input. In a particular example, an image can be used as an input to a search mechanism. Pattern recognition and image analysis can be applied to the image thereafter establishing a search query that corresponds to features extracted from the image input. The system can also facilitate indexing multi-dimensional searchable items thereby making them available to be retrieved as results to a search query. More particularly, the system can employ text analysis, pattern and/or speech recognition mechanisms to extract features from searchable items. These extracted features can be employed to index the searchable items.
摘要翻译: 一种能够基于从输入中提取的特征来建立搜索查询的分析多维输入的系统。 在特定示例中,图像可以用作搜索机制的输入。 模式识别和图像分析可以应用于图像,然后建立对应于从图像输入提取的特征的搜索查询。 该系统还可以方便索引多维可搜索项目,从而使得它们可以作为结果被检索到搜索查询。 更具体地,系统可以采用文本分析,模式和/或语音识别机制来从可搜索项目中提取特征。 这些提取的特征可用于索引可搜索的项目。
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公开(公告)号:US20080005069A1
公开(公告)日:2008-01-03
申请号:US11426994
申请日:2006-06-28
申请人: Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E. Ozzie , Eric D. Brill
发明人: Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E. Ozzie , Eric D. Brill
IPC分类号: G06F17/30
CPC分类号: G06F16/9535
摘要: A system that employs an explicitly and/or implicitly trained model in order to return entity-specific computer-based search results is provided. The innovation can provide for a customized search model that focuses search in connection with achieving information that is meaningful with respect to goals of an entity. The model can be used to modify a search query in accordance with a goal of the entity or to generate the search query thereby returning meaningful and/or targeted results to the user. The system can automatically gather entity-related data thereafter determining or inferring a goal as well as training the model. Moreover, the system can selectively configure (e.g., order, rank, filter) and render results to a user based upon the model.
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公开(公告)号:US20080005067A1
公开(公告)日:2008-01-03
申请号:US11426981
申请日:2006-06-28
申请人: Susan T. Dumais , Kyle G. Peltonen , Anoop Gupta , Bradly A. Brunell , William H. Gates , Gary W. Flake , Ramez Naam , Eric J. Horvitz , Xuedong D. Huang , John C. Platt , Oliver Hurst-Hiller , Trenholme J. Griffin , Joshua T. Goodman
发明人: Susan T. Dumais , Kyle G. Peltonen , Anoop Gupta , Bradly A. Brunell , William H. Gates , Gary W. Flake , Ramez Naam , Eric J. Horvitz , Xuedong D. Huang , John C. Platt , Oliver Hurst-Hiller , Trenholme J. Griffin , Joshua T. Goodman
IPC分类号: G06F17/30
CPC分类号: G06F16/24575
摘要: A system that incorporates a user context into a computer-based search is provided. To establish the context, the innovation can identify information about a user state or context via a variety of sources and sensors. The state/context information can be used to filter, arrange and/or rank search results so as to facilitate converging on meaningful searches and results. Machine learning systems (implicitly and/or explicitly trained) can be employed to infer a current and/or future context related to user. An identified or inferred user context can be employed to modify an automated or user-defined search input/query. Contextual cues can be considered directly in the construction and use of context of context-sensitive retrieval algorithms that are optimized for identifying and/or ranking of informational items of potential interest or value in different contexts. As well, the context can be employed to intelligently render results of a query (e.g., user/application defined, context-modified query).
摘要翻译: 提供了将用户上下文合并到基于计算机的搜索中的系统。 为了建立上下文,创新可以通过各种来源和传感器识别关于用户状态或上下文的信息。 状态/上下文信息可用于过滤,排列和/或排列搜索结果,以便于有意义地搜索和结果的收敛。 可以使用机器学习系统(隐式和/或显式训练)来推断与用户相关的当前和/或将来的上下文。 可以使用识别或推断的用户上下文来修改自动或用户定义的搜索输入/查询。 上下文提示可以直接考虑在对不同上下文中潜在兴趣或价值的信息项目的识别和/或排名进行优化的上下文敏感检索算法的上下文的构建和使用中。 同样,可以使用上下文来智能地呈现查询的结果(例如,定义的用户/应用程序,上下文修改的查询)。
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公开(公告)号:US20080004990A1
公开(公告)日:2008-01-03
申请号:US11427312
申请日:2006-06-28
申请人: Gary W. Flake , Alexander G. Gounares , William H. Gates , Kenneth A. Moss , Susan T. Dumais , Ramez Naam , Eric J. Horvitz , Joshua T. Goodman
发明人: Gary W. Flake , Alexander G. Gounares , William H. Gates , Kenneth A. Moss , Susan T. Dumais , Ramez Naam , Eric J. Horvitz , Joshua T. Goodman
IPC分类号: G06Q30/00
CPC分类号: G06Q30/02 , G06Q30/0601
摘要: Architecture that facilitates online advertising taking on characteristics of a commodities market approach to purchasing advertising space, options for ad space and a futures market for online ad space. Available advertising space is identified and aggregated, and subsets of the aggregated ad space are offered for purchase using a commodities market-based approach. The architecture facilitates revenue-sharing paradigms, coupon delivery, targeted advertising, point-of-sale transactions, inventory control, just-in-time delivery of ads, content and product/services, value-based advertising models, etc. The architecture comprises an aggregation component that aggregates advertisement space information associated with online advertisements, and a transaction component that facilitates transacting subsets of the aggregated advertisement space information to bidders as a function of supply and demand. The aggregation component receives information about online advertising space that is now available, that will become available in the future, and that is predicted by prediction analysis to become available in the future. Advertisements and/or ad space can be specified based on dynamic sensing of contextual cues.
摘要翻译: 促进网络广告采用商品市场购买广告空间的方式,广告空间选择和在线广告空间的期货市场的架构。 确定和汇总可用的广告空间,并使用基于商品市场的方法提供聚合广告空间的子集。 该架构促进收益分享范例,优惠券交付,有针对性的广告,销售点交易,库存控制,及时交付广告,内容和产品/服务,基于价值的广告模型等。架构包括 聚合与在线广告相关联的广告空间信息的聚合组件,以及有助于将聚合广告空间信息的子集作为供应和需求的函数交易给投标者的交易组件。 聚合组件接收有关现在可用的在线广告空间的信息,这将在将来可用,并且将通过预测分析预测将来可用。 广告和/或广告空间可以基于上下文提示的动态感知来指定。
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