LOCALIZED MARKETING
    31.
    发明申请
    LOCALIZED MARKETING 审中-公开
    本地营销

    公开(公告)号:US20080005104A1

    公开(公告)日:2008-01-03

    申请号:US11427290

    申请日:2006-06-28

    IPC分类号: G06F17/30

    CPC分类号: G06Q30/02 G06F16/9537

    摘要: A localized marketing system is disclosed that provides discount offers to users that match merchant criteria including proximity. Further, a system for actively probing populations of users with different parameters and monitoring responses can be employed to collect data for identifying the best discounts and deadlines to offer to users to achieve desired results.Another aspect of the disclosure pertains to web searches and more particularly toward influencing resultant content to increase relevancy. The resultant content can be influenced by reconfiguring a query and/or filtering results based on user location and/or context information (e.g., user characteristics/profile, prior interaction/usage temporal, current events, and third party state/context . . . ). Furthermore, the disclosure provides for query execution on at least a subset of designated web content, for example as specified by a user.

    摘要翻译: 公开了一种本地化的营销系统,其提供与包括邻近度的商家标准匹配的用户的折扣优惠。 此外,可以采用用于主动探测具有不同参数和监测响应的用户群体的系统来收集数据以识别提供给用户以获得期望结果的最佳折扣和期限。 本公开的另一方面涉及网络搜索,并且更具体地涉及影响结果内容以增加相关性。 可以通过基于用户位置和/或上下文信息(例如,用户特征/简档,先前交互/使用时间,当前事件和第三方状态/上下文)重新配置查询和/或过滤结果来影响所得到的内容。 )。 此外,本公开提供了在指定的web内容的至少一个子集上的查询执行,例如由用户指定的。

    SEARCH OVER DESIGNATED CONTENT
    32.
    发明申请
    SEARCH OVER DESIGNATED CONTENT 审中-公开
    搜索超过指定的内容

    公开(公告)号:US20080005074A1

    公开(公告)日:2008-01-03

    申请号:US11427296

    申请日:2006-06-28

    IPC分类号: G06F17/30

    CPC分类号: G06F16/951

    摘要: The subject disclosure pertains to web searches and more particularly toward influencing resultant content to increase relevancy. The resultant content can be influenced by reconfiguring a query and/or filtering results based on user location and/or context information (e.g., user characteristics/profile, prior interaction/usage temporal, current events, and third party state/context . . . ). Furthermore, the disclosure provides for query execution on at least a subset of designated web content, for example as specified by a user. Still further yet, a localized marketing system is disclosed that provides discount offers to users that match merchant criteria including proximity. A system for actively probing populations of users with different parameters and monitoring responses can be employed to collect data for identifying the best discounts and deadlines to offer to users to achieve desired results.

    摘要翻译: 本发明涉及网络搜索,更具体地涉及影响结果内容以增加相关性。 可以通过基于用户位置和/或上下文信息(例如,用户特征/简档,先前交互/使用时间,当前事件和第三方状态/上下文)重新配置查询和/或过滤结果来影响所得到的内容。 )。 此外,本公开提供了在指定的web内容的至少一个子集上的查询执行,例如由用户指定的。 此外,公开了一种本地化的营销系统,其向与用户相匹配的商品标准(包括接近度)提供折扣优惠。 可以采用用于主动探测具有不同参数和监测响应的用户群体的系统来收集数据,以识别提供给用户以获得期望结果的最佳折扣和期限。

    Machine assisted query formulation
    34.
    发明授权
    Machine assisted query formulation 有权
    机器辅助查询配方

    公开(公告)号:US08812534B2

    公开(公告)日:2014-08-19

    申请号:US13481168

    申请日:2012-05-25

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30389

    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。

    Machine Assisted Query Formulation
    35.
    发明申请
    Machine Assisted Query Formulation 有权
    机器辅助查询制定

    公开(公告)号:US20120239653A1

    公开(公告)日:2012-09-20

    申请号:US13481168

    申请日:2012-05-25

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30389

    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。

    Machine assisted query formulation
    36.
    发明授权
    Machine assisted query formulation 有权
    机器辅助查询配方

    公开(公告)号:US08190627B2

    公开(公告)日:2012-05-29

    申请号:US11770458

    申请日:2007-06-28

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30389

    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。

    MACHINE ASSISTED QUERY FORMULATION
    37.
    发明申请
    MACHINE ASSISTED QUERY FORMULATION 有权
    机器辅助查询配方

    公开(公告)号:US20090006343A1

    公开(公告)日:2009-01-01

    申请号:US11770458

    申请日:2007-06-28

    IPC分类号: G06F7/00

    CPC分类号: G06F17/30389

    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。