CONTEXT-BASED SEARCH, RETRIEVAL, AND AWARENESS
    3.
    发明申请
    CONTEXT-BASED SEARCH, RETRIEVAL, AND AWARENESS 审中-公开
    基于语境的搜索,检索和意识

    公开(公告)号:US20080005067A1

    公开(公告)日:2008-01-03

    申请号:US11426981

    申请日:2006-06-28

    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)。

    TARGETED ADVERTISING IN BRICK-AND-MORTAR ESTABLISHMENTS
    10.
    发明申请
    TARGETED ADVERTISING IN BRICK-AND-MORTAR ESTABLISHMENTS 有权
    面向广告和广告业务的广告业务

    公开(公告)号:US20080004950A1

    公开(公告)日:2008-01-03

    申请号:US11427761

    申请日:2006-06-29

    IPC分类号: G06Q30/00

    摘要: Architecture for presenting advertisements in realtime in retail establishments. A sensor component includes sensors for collecting information about a customer or group of customers as they move through the store. The sensors can include capability for image processing, audio processing, light sensing, velocity sensing, direction sensing, proximity sensing, face recognition, pose recognition, transaction recognition, and biometric sensing, for example. A customer component analyzes the information and generates a profile about the customer. Advertisements are selected for presentation that target the customers as they walk in proximity of a presentation system of the store. An advertisement component facilitates dynamic presentation of a targeted advertisement to the individual as a function of the profile. The customer component can infer information during analysis using machine learning and reasoning.

    摘要翻译: 在零售店内实时呈现广告的建筑。 传感器组件包括传感器,用于在客户或客户群经过商店移动时收集有关客户或客户群的信息。 例如,传感器可以包括用于图像处理,音频处理,光感测,速度感测,方向感测,接近感测,面部识别,姿态识别,事务识别和生物测量感测的能力。 客户组件分析信息并生成有关客户的配置文件。 广告被选择用于呈现,当客户在商店的呈现系统附近走动时将其定位成客户。 广告组件有助于作为简档的函数向个人动态地呈现目标广告。 客户组件可以使用机器学习和推理来分析分析期间的信息。