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    • 61. 发明申请
    • BIOMETRIC-DATA-BASED RATINGS
    • 基于生物统计数据的评分
    • WO2017112148A1
    • 2017-06-29
    • PCT/US2016/062305
    • 2016-11-16
    • INTEL CORPORATION
    • TATOURIAN, IgorWOUHAYBI, Rita H.LI, Hong
    • G06Q30/02G01S19/01G06Q30/06H04W4/02A61B5/02
    • G06F17/30241G06F17/30032G06F17/3053G06F17/30867G06Q30/0201G06Q50/01
    • In various embodiments, a biometric rating system ("BRS") may generate ratings based on biometric data. The BRS may receive biometric data, along with location data, from personal devices of a user. The BRS may identify a location at which the biometric data was measured. The BRS may generate one or more ratings associated with the location, such as ratings for a venue or event at the location. The BRS may also perform calibration of the biometric data. For example, the BRS may be configured to partition biometric data measurements into multiple segments to be associated with different locations, different areas at a location, or different portions of an event. The BRS may calibrate biometric data based on activity or social media or proximity data. The BRS may generate a rating based on the calibrated biometric data. Other embodiments may be described and/or claimed.
    • 在各种实施例中,生物计量分级系统(“BRS”)可以基于生物计量数据生成分级。 BRS可以从用户的个人设备接收生物测定数据以及位置数据。 BRS可以识别生物测量数据被测量的位置。 BRS可以生成与该位置相关联的一个或多个评级,诸如该场所处的场所或事件的评级。 BRS也可以执行生物特征数据的校准。 例如,BRS可以被配置为将生物测量数据测量划分成与不同位置,位置处的不同区域或事件的不同部分相关联的多个段。 BRS可以基于活动或社交媒体或接近度数据校准生物特征数据。 BRS可以基于校准的生物统计数据生成评分。 其他实施例可以被描述和/或要求保护。
    • 68. 发明公开
    • SYSTEM AND METHOD FOR IDENTIFYING REVIEWERS WITH INCENTIVES
    • 系统发现VERFAHREN ZUR IDENTIFIZIERUNG VON KRITIKERN MIT ANREIZEN
    • EP3115957A1
    • 2017-01-11
    • EP16183285.2
    • 2011-12-28
    • Intel Corporation
    • WOUHAYBI, Rita H.MO, StanleyKOHLENBERG, TobiasMIAN, Mubashir, A.
    • G06Q30/02
    • G06Q30/0282G06Q30/0201G06Q30/0601G06Q30/0631
    • A system and method includes obtaining reviews from an electronic commerce site, generating statistics via a specifically programmed machine regarding the reviews by reviewers, identifying reviewers via the machine having statistics indicative of a compensated reviewer, generating scores via the machine for the reviewers indicative of a probability that each reviewer is a compensated reviewer. The method may further or alternatively include monitoring user interactions via a specifically programmed machine with electronic commerce generated content with respect to reviews of products, and providing a reviewer score via the machine responsive to such user interactions, wherein the score is representative of the probability that a reviewer generating the score is compensated with respect to providing reviews.
    • 一种系统和方法包括从电子商务站点获得评论,通过专门编程的机器产生关于评审者审查的统计数据,通过具有指示补偿审查者的统计信息的机器识别审查者,通过机器产生评价指标为 每个评论者是一个补偿审核人的概率。 该方法还可以或者可选地包括通过专门编程的机器监视用户交互,其中电子商务产生关于产品评论的内容,以及响应于这样的用户交互提供评论者得分,其中该分数代表 产生评分的评审者就提供评论而进行补偿。