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    • 6. 发明授权
    • Dynamic recommendations based on user actions
    • 基于用户操作的动态建议
    • US08200661B1
    • 2012-06-12
    • US12338847
    • 2008-12-18
    • Cail PearcePeter DolanOwen CarlsenKirill BuryakRob Christy
    • Cail PearcePeter DolanOwen CarlsenKirill BuryakRob Christy
    • G06F7/00G06F17/30
    • G06F17/30867
    • Embodiments of a system (such as a computer system), a method, and a computer-program product (e.g., software) for use with the computer system are described. These embodiments may be used to provide one or more recommendations to a user based at least in part on monitored user actions while the user interacts with a support document (e.g., a website or a web page) that includes content for multiple support topics, such as help instructions associated with an application or a service. In particular, one or more support topics are associated with the monitored user actions using a supervised-learning model, and these support topics are recommended to the user. This supervised-learning model may be trained on portions of the content accessed by multiple users during multiple sessions. Moreover, in the supervised-learning model, content accessed by one of the users during a given session may be more relevant than content accessed by this user during the multiple sessions.
    • 描述与计算机系统一起使用的系统(诸如计算机系统),方法和计算机程序产品(例如,软件)的实施例。 这些实施例可以用于至少部分地基于受监控的用户动作来向用户提供一个或多个推荐,同时用户与包括多个支持主题的内容的支持文档(例如,网站或网页)进行交互,例如, 作为与应用程序或服务相关联的帮助说明。 特别地,一个或多个支持主题使用监督学习模型与被监视的用户动作相关联,并且这些支持主题被推荐给用户。 该监督学习模型可以在多个会话期间由多个用户访问的内容的一部分进行训练。 此外,在监督学习模型中,在给定会话期间由用户之一访问的内容可能比在多个会话期间由该用户访问的内容更相关。