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    • 2. 发明授权
    • Statistical models and methods to support the personalization of applications and services via consideration of preference encodings of a community of users
    • 通过考虑用户社区的偏好编码来支持应用程序和服务的个性化的统计模型和方法
    • US07774349B2
    • 2010-08-10
    • US10882867
    • 2004-06-30
    • Eric J. HorvitzJohnson T. ApacibleMurugesan S. Subramani
    • Eric J. HorvitzJohnson T. ApacibleMurugesan S. Subramani
    • G06F17/30
    • G06Q30/02
    • A statistical methodology is employed for assisting people with the setting of parameters of software applications or services. With the method, information about demographics and/or about the complete or partial preferences of other people, are analyzed to infer recommendations for settings and functionality of a computer application or service. A system is reviewed with the ability to receive data regarding a plurality of users, and stores respective profiles for these users in a community store. The system can leverage off of these completed and/or partially completed profiles of parameters representing preferences about software operation in connection with building new profiles for users (new and/or existing). Data regarding a user that desires to build a new profile is employed in connection with the community profiles to facilitate the user building a personalized profile. Various statistical and/probabilistic schemes can be employed, for example, collaborative filtering techniques to identify to the user the top n settings by particular parameter(s), top m settings by popularity, top x most similar profiles to facilitate the user selecting most appropriate sub-profiles as part of a personalized profile building and selection effort.
    • 采用统计方法来协助人们设定软件应用或服务的参数。 通过该方法,分析有关人口统计信息和/或关于其他人的完整或部分偏好的信息,以推断计算机应用程序或服务的设置和功能。 审查系统能够接收关于多个用户的数据,并且将这些用户的相应简档存储在社区商店中。 该系统可以利用这些完成的和/或部分完成的表示关于软件操作的参数的参数,用于为用户(新的和/或现有的)构建新的配置文件。 关于希望构建新配置文件的用户的数据与社区配置文件一起使用,以便于用户构建个性化配置文件。 可以采用各种统计和/概率方案,例如协同过滤技术,以通过特定参数向用户识别顶部n个设置,按照受欢迎程度进行顶部设置,顶部x最相似的配置文件,以便于用户选择最合适的 子配置文件作为个性化配置文件构建和选择工作的一部分。
    • 3. 发明授权
    • Statistical models and methods to support the personalization of applications and services via consideration of preference encodings of a community of users
    • 通过考虑用户社区的偏好编码来支持应用程序和服务的个性化的统计模型和方法
    • US09443246B2
    • 2016-09-13
    • US12827013
    • 2010-06-30
    • Eric J. HorvitzJohnson T. ApacibleMurugesan S. Subramani
    • Eric J. HorvitzJohnson T. ApacibleMurugesan S. Subramani
    • G06F17/30G06F7/00G06Q30/02
    • G06Q30/02
    • A statistical methodology is employed for assisting people with the setting of parameters of software applications or services. With the method, information about demographics and/or about the complete or partial preferences of other people, are analyzed to infer recommendations for settings and functionality of a computer application or service. A system is reviewed with the ability to receive data regarding a plurality of users, and stores respective profiles for these users in a community store. The system can leverage off of these completed and/or partially completed profiles of parameters representing preferences about software operation in connection with building new profiles for users (new and/or existing). Data regarding a user that desires to build a new profile is employed in connection with the community profiles to facilitate the user building a personalized profile. Various statistical and/probabilistic schemes can be employed, for example, collaborative filtering techniques to identify to the user the top n settings by particular parameter(s), top m settings by popularity, top x most similar profiles to facilitate the user selecting most appropriate sub-profiles as part of a personalized profile building and selection effort.
    • 采用统计方法来协助人们设定软件应用或服务的参数。 通过该方法,分析有关人口统计信息和/或关于其他人的完整或部分偏好的信息,以推断计算机应用程序或服务的设置和功能。 审查系统能够接收关于多个用户的数据,并且将这些用户的相应简档存储在社区商店中。 该系统可以利用这些完成的和/或部分完成的表示关于软件操作的参数的参数,用于为用户(新的和/或现有的)构建新的配置文件。 关于希望构建新配置文件的用户的数据与社区配置文件一起使用,以便于用户构建个性化配置文件。 可以采用各种统计和/概率方案,例如协同过滤技术,以通过特定参数向用户识别顶部n个设置,通过受欢迎程度进行顶部设置,顶部x最相似的配置文件,以便于用户选择最合适的 子配置文件作为个性化配置文件构建和选择工作的一部分。
    • 4. 发明申请
    • STATISTICAL MODELS AND METHODS TO SUPPORT THE PERSONALIZATION OF APPLICATIONS AND SERVICES VIA CONSIDERATION OF PREFERENCE ENCODINGS OF A COMMUNITY OF USERS
    • 统计模型和方法通过考虑用户社区的优先级编码来支持应用程序和服务的个性化
    • US20100269051A1
    • 2010-10-21
    • US12827013
    • 2010-06-30
    • Eric J. HorvitzJohnson T. ApacibleMurugesan S. Subramani
    • Eric J. HorvitzJohnson T. ApacibleMurugesan S. Subramani
    • G06F3/00G06F3/048
    • G06Q30/02
    • A statistical methodology is employed for assisting people with the setting of parameters of software applications or services. With the method, information about demographics and/or about the complete or partial preferences of other people, are analyzed to infer recommendations for settings and functionality of a computer application or service. A system is reviewed with the ability to receive data regarding a plurality of users, and stores respective profiles for these users in a community store. The system can leverage off of these completed and/or partially completed profiles of parameters representing preferences about software operation in connection with building new profiles for users (new and/or existing). Data regarding a user that desires to build a new profile is employed in connection with the community profiles to facilitate the user building a personalized profile. Various statistical and/probabilistic schemes can be employed, for example, collaborative filtering techniques to identify to the user the top n settings by particular parameter(s), top m settings by popularity, top x most similar profiles to facilitate the user selecting most appropriate sub-profiles as part of a personalized profile building and selection effort.
    • 采用统计方法来协助人们设定软件应用或服务的参数。 通过该方法,分析有关人口统计信息和/或关于其他人的完整或部分偏好的信息,以推断计算机应用程序或服务的设置和功能。 审查系统能够接收关于多个用户的数据,并且将这些用户的相应简档存储在社区商店中。 该系统可以利用这些完成的和/或部分完成的表示关于软件操作的参数的参数,用于为用户(新的和/或现有的)构建新的配置文件。 关于希望构建新配置文件的用户的数据与社区配置文件一起使用,以便于用户构建个性化配置文件。 可以采用各种统计和/概率方案,例如协同过滤技术,以通过特定参数向用户识别顶部n个设置,按照受欢迎程度进行顶部设置,顶部x最相似的配置文件,以便于用户选择最合适的 子配置文件作为个性化配置文件构建和选择工作的一部分。
    • 8. 发明申请
    • METHODS AND ARCHITECTURES FOR CONTEXT-SENSITIVE REMINDERS AND SERVICE FACILITATION
    • 上下文敏感提示的方法和架构和服务辅助
    • US20080004926A1
    • 2008-01-03
    • US11428228
    • 2006-06-30
    • Eric J. HorvitzPaul B. KochJohnson T. ApacibleMurugesan S. Subramani
    • Eric J. HorvitzPaul B. KochJohnson T. ApacibleMurugesan S. Subramani
    • G06F17/50
    • G06Q10/047G06Q10/06315G06Q10/06316G06Q10/06375G06Q30/02
    • Methods and architectures for context-sensitive reminding and service facilitating are disclosed. The architectures monitor user context and activity, senses or infers relevant reminders, goals, such as those that come from a growing need of the user that should be fulfilled, and computes best reminders, and recommend plans on fulfilling need(s) in an optimum way. Statistical models of a user's knowledge and recall in different settings may be employed. Facilities, services, and merchants can be identified along a route that the user can take, and cost-benefit analysis is performed for determining which merchant(s) to select to fulfill the need(s). Routes may be created as opportunistic modifications of trips underway. Merchants can respond back with offers of sale to the user for all available needed items, and the user can respond with acceptance or denial of the offers. Merchants can also respond in a bidding fashion in order to gain user's patronage.
    • 披露了上下文敏感提醒和服务促进的方法和体系结构。 架构监视用户环境和活动,感知或推测相关提醒,目标,例如来自用户日益增长的需求应该实现的目标,并计算最佳提醒,并推荐在满足需求的计划 办法。 可以采用不同设置中用户的知识和召回的统计模型。 设备,服务和商家可以沿着用户可以采用的路线被识别,并且执行成本效益分析以确定哪些商家选择以满足需要。 路线可能是正在进行的旅行的机会性修改。 商家可以回复用户的所有可用物品的销售优惠,用户可以接受或拒绝提供回复。 招商人员也可以以招标方式进行回应,以获得用户的惠顾。