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    • 4. 发明申请
    • INFERRING VENUE VISITS USING SEMANTIC INFORMATION
    • 使用语言信息感染视野
    • WO2016164607A1
    • 2016-10-13
    • PCT/US2016/026484
    • 2016-04-07
    • MICROSOFT TECHNOLOGY LICENSING, LLC
    • PRINESS, IdoSOMECH, HaimMILLER, Adi L.STERENBERG, MichaelVAINAS, Oded
    • G06Q30/02
    • G06Q30/0255G06Q30/0261G06Q30/0267H04W4/02
    • A method for inferring venue visits using semantic information includes receiving sensor data from sensors. An indication of a location is received that is associated with a user and determined based on the sensor data. A set of candidate venues associated with the location is determined based on the indication of the location. Sets of semantic information associated with the set of candidate venues are determined based on the sensor data. Candidate venues of the set are ranked by confidence that a given candidate venue corresponds to a visited venue of a venue visit based on the set of semantic information associated with the given candidate venue and additional semantic information associated with the user. A highest ranked candidate venue is selected as the visited venue and an indication is provided to a service causing content to be presented to the user based on the selected visited venue.
    • 使用语义信息推断场地访问的方法包括从传感器接收传感器数据。 接收与用户相关联并基于传感器数据确定的位置的指示。 基于位置的指示来确定与该位置相关联的一组候选场所。 基于传感器数据确定与候选场所集合相关联的语义信息集合。 基于与给定候选场所相关联的一组语义信息和与该用户相关联的附加语义信息,给定候选场地对应于场地访问的访问场所,该组的候选场所被置信。 选择最高排名的候选场地作为访问场所,并且向服务提供指示,使得基于所选择的访问场所向用户呈现内容。
    • 7. 发明申请
    • USER WORK SCHEDULE IDENTIFICATION
    • 用户工作时间表识别
    • WO2015138364A1
    • 2015-09-17
    • PCT/US2015/019547
    • 2015-03-10
    • MICROSOFT TECHNOLOGY LICENSING, LLC
    • MILLER, Adi L.SOMECH, HaimWEINBERG, Shira
    • G06Q10/06G06Q10/10
    • G06Q10/1097G06Q10/063114G06Q10/063116G06Q10/06314G06Q10/109G06Q50/01
    • One or more techniques and/or systems are provided for determining a user work schedule. A user may seldom update actual work hours, such as within a calendar, to reflect an actual schedule of the user, which may result in erroneous information being exposed to services that may notify other users as to when the user is inside or outside work hours. Accordingly, user signals (e.g., a current device location, execution of a work-related app, access to a work VPN, participation in a conference call from home, etc.) may be evaluated to generate a set of user activity patterns that may be indicative of recurring work patterns of the user. A user work schedule for the user may be determined based upon the set of user activity patterns. The user work schedule may be used to modify user interfaces (e.g., a conferencing website, a phone app, etc.) exposed to other users.
    • 提供一个或多个技术和/或系统来确定用户工作进度。 用户可能很少更新实际工作时间,例如在日历中,以反映用户的实际时间表,这可能导致错误的信息暴露给可以通知其他用户关于用户何时在工作时间或工作时间以外的服务 。 因此,可以评估用户信号(例如,当前设备位置,工作相关应用的执行,对工作VPN的访问,参与来自家庭的电话会议等),以生成一组用户活动模式,其可以 指示用户的重复工作模式。 可以基于用户活动模式的集合来确定用户的用户工作时间表。 用户工作时间表可以用于修改暴露给其他用户的用户界面(例如,会议网站,电话应用等)。