会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 43. 发明授权
    • Voice-based search processing
    • 基于语音的搜索处理
    • US08260809B2
    • 2012-09-04
    • US11770535
    • 2007-06-28
    • John C. PlattGary W. FlakeRamez NaamAnoop GuptaOliver Hurst-HillerTrenholme J. Griffin
    • John C. PlattGary W. FlakeRamez NaamAnoop GuptaOliver Hurst-HillerTrenholme J. Griffin
    • G06F7/00G06F17/30
    • G06F17/30976G06F17/276G10L15/26
    • 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.
    • 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。
    • 44. 发明申请
    • MARK-UP ECOSYSTEM FOR SEARCHING
    • 标记生态系统搜索
    • US20090006344A1
    • 2009-01-01
    • US11770502
    • 2007-06-28
    • John C. PlattGary W. FlakeRamez NaamAnoop GuptaOliver Hurst-HillerTrenholme J. Griffin
    • John C. PlattGary W. FlakeRamez NaamAnoop GuptaOliver Hurst-HillerTrenholme J. Griffin
    • G06F7/00
    • G06F17/276G06F16/90332
    • 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.
    • 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。
    • 45. 发明申请
    • VOICE-BASED SEARCH PROCESSING
    • 基于语音的搜索处理
    • US20090006345A1
    • 2009-01-01
    • US11770535
    • 2007-06-28
    • John C. PlattGary W. FlakeRamez NaamAnoop GuptaOliver Hurst-HillerTrenholme J. Griffin
    • John C. PlattGary W. FlakeRamez NaamAnoop GuptaOliver Hurst-HillerTrenholme J. Griffin
    • G06F7/06
    • G06F17/30976G06F17/276G10L15/26
    • 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.
    • 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。
    • 50. 发明申请
    • Automated satisfaction measurement for web search
    • 网页搜索的自动满意度测量
    • US20050125390A1
    • 2005-06-09
    • US10806271
    • 2004-03-22
    • Oliver Hurst-HillerEric WatsonSusan Dumais
    • Oliver Hurst-HillerEric WatsonSusan Dumais
    • G06F7/00G06F15/18G06F17/00G06F17/30G06N5/02
    • G06F17/30867G06F7/00G06F15/18G06F17/30
    • Context-based user behavior data is collected from a search mechanism. This data includes, for a given query, user feedback (implicit and explicit) on the query and context information on the query. A predictive pattern is applied to the context-based user behavior data in order to produce predicted user satisfaction data. Data mining techniques may be used to create and improve one or more predictive patterns. Predicted user satisfaction data can be used to monitor or improve search mechanism performance, via a display reporting the performance or identification of any queries with a shared characteristic and sub-par user satisfaction. A dynamically-improving search mechanism uses the predicted user satisfaction data to improve the performance of the search mechanism.
    • 从搜索机制收集基于上下文的用户行为数据。 对于给定的查询,该数据包括查询上的用户反馈(隐式和显式)以及关于查询的上下文信息。 预测模式被应用于基于上下文的用户行为数据,以便产生预测的用户满意度数据。 数据挖掘技术可用于创建和改进一个或多个预测模式。 预测的用户满意度数据可以用于通过显示器报告具有共享特性和次标准用户满意度的任何查询的性能或标识来监视或改进搜索机制的性能。 动态改进的搜索机制使用预测的用户满意度数据来提高搜索机制的性能。