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    • 4. 发明申请
    • ADVERTISING AS A REAL-TIME VIDEO CALL
    • 广告作为实时视频通话
    • US20110025816A1
    • 2011-02-03
    • US12533139
    • 2009-07-31
    • Brett D. BrewerMelissa W. DunnMilind V. Mahajan
    • Brett D. BrewerMelissa W. DunnMilind V. Mahajan
    • H04N7/14G06Q30/00
    • H04N7/14G06Q30/02G06Q30/0241
    • The claimed subject matter provides systems and/or methods that effectuate distribution of advertising as real-time video calls. The system can include devices that detect whether or not a mobile device associated with a user is in the vicinity of a retail establishment, ascertains whether or not the proximate mobile device is receptive to receipt of advertising from the retail establishment, negotiates with the mobile device to determine at least one user preference with respect to a real-time video call, and based on the ascertained user preferences, downloads the appropriate real-time video call to the mobile device and/or establishes a live audio-visual connection with a representative of the retail establishment, wherein during the live audio-visual connection negotiations between the user and the representative is effectuated and the user comprehends that they are communicating with a famous personality.
    • 所要求保护的主题提供了将广告分发作为实时视频呼叫的系统和/或方法。 该系统可以包括检测与用户相关联的移动设备是否在零售店附近的设备,确定邻近的移动设备是否接受来自零售店的广告的接收,与移动设备协商 确定关于实时视频呼叫的至少一个用户偏好,并且基于所确定的用户偏好,将适当的实时视频呼叫下载到移动设备和/或建立与代表的实时视听连接 其中在实时视听连接期间,用户和代表之间的协商被实现,并且用户理解他们正在与着名的个性进行通信。
    • 7. 发明授权
    • Incremental query refinement
    • 增量查询优化
    • US08655905B2
    • 2014-02-18
    • US13368948
    • 2012-02-08
    • Brett D. BrewerOliver Hurst-Hiller
    • Brett D. BrewerOliver Hurst-Hiller
    • G06F7/00G06F17/30
    • G06F17/3064G06F17/30389G06F17/3097
    • A method of incrementally refining queries and updating query result lists without requiring a user to provide an explicit indicator of query submission. In the method, one or more query related character patterns are defined. Entry of query defining characters by a user is monitored to detect entry of a defined query related character pattern. The user is provided with one or more suggested query refinement options and an updated query result list each time a defined query related character pattern is detected. The query related character patterns may be a character pattern that indicates a word has been input by the user.
    • 一种逐步精简查询和更新查询结果列表的方法,而不需要用户提供查询提交的明确指示符。 在该方法中,定义了一个或多个查询相关字符模式。 监视由用户输入查询定义字符以检测定义的查询相关字符模式的输入。 每当检测到定义的查询相关字符模式时,向用户提供一个或多个建议的查询细化选项和更新的查询结果列表。 查询相关字符图案可以是指示用户已输入单词的字符图案。
    • 10. 发明授权
    • System and method for generating normalized relevance measure for analysis of search results
    • 用于生成用于搜索结果分析的归一化相关性度量的系统和方法
    • US07725463B2
    • 2010-05-25
    • US10879002
    • 2004-06-30
    • Oliver Hurst-HillerLaurent ChavetBrett D. Brewer
    • Oliver Hurst-HillerLaurent ChavetBrett D. Brewer
    • G06F17/30
    • G06F17/30687G06F17/30646G06F17/30648Y10S707/99933
    • A system and related techniques permit a search service operator to access a variety of disparate relevance measures, and integrate those measures into idealized or unified data sets. A search service operator may employ self-learning networks to generate relevance rankings of Web site hits in response to user queries or searches, such as Boolean text or other searches. To improve the accuracy and quality of the rankings of results, the service provider may accept as inputs relevance measures created from query logs, from human-annotated search records, from independent commercial or other search sites, or from other sources and feed those measures to a normalization engine. That engine may normalize those relevance ratings to a common scale, such as quintiles, percentages or other scales or levels. The provider may then use that idealized or normalized combined measure to train the search algorithms or heuristics to arrive at more accurate results.
    • 系统和相关技术允许搜索服务运营商访问各种不同的相关性度量,并将这些措施集成到理想化或统一的数据集中。 搜索服务运营商可以使用自学习网络来响应于诸如布尔文本或其他搜索的用户查询或搜索来生成网站命中的相关性排名。 为了提高结果排名的准确性和质量,服务提供商可以接受从查询日志,人为注释搜索记录,独立商业或其他搜索网站或其他来源创建的输入相关性度量,并将这些措施提供给 一个归一化引擎。 该引擎可将这些相关性评级标准化为一般规模,例如五分位数,百分比或其他比例或级别。 然后,提供商可以使用该理想化或归一化的组合度量来训练搜索算法或启发式来获得更准确的结果。